From c035749dbbe2d10ddfb8a84bc116ce11b88832f3 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 23:26:52 +0000 Subject: [PATCH 01/28] Record Cycle 8 mix publishability gates and fail-close product promotion. Five gates after the merged mix freeze: reproducibility and visibility pass; Latin-1/literal-search, Mn/default-ignorable sanitizers, and single-detector confirmation fail. Mix stays out of the public CLI. Do not retag v0.3.0. Co-authored-by: Byte271 --- CHANGELOG.md | 1 + README.md | 4 +- docs/cycle8/README.md | 4 +- docs/cycle8/carrier-research.md | 2 +- docs/cycle8/letter-mix-margin.md | 2 +- docs/cycle8/mix-freeze.md | 2 + docs/cycle8/mix-publishability.md | 48 ++ docs/product-contract.md | 10 + fuckmark/cycle8/publishability.py | 476 ++++++++++++++++++ ...fuckmark-cycle8-mix-publishability-v1.json | 1 + tests/test_cycle8_mix_publishability.py | 90 ++++ 11 files changed, 634 insertions(+), 6 deletions(-) create mode 100644 docs/cycle8/mix-publishability.md create mode 100644 fuckmark/cycle8/publishability.py create mode 100644 specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json create mode 100644 tests/test_cycle8_mix_publishability.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 1042352c..d16199c1 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -32,6 +32,7 @@ - Cycle 8 letter-mix scale reserved seeds `1040000` and `1050000` before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix score 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale, not confirmation. - Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty. - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`. +- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Five product gates: reproducibility PASS, visibility invariance PASS, software compatibility FAIL (Latin-1 and literal search), sanitizer weaknesses FAIL (Mn-strip and default-ignorable-strip), cross-detector generalization FAIL (one open SynthID Weighted Mean detector). Mix is not product-publishable. Tag `v0.3.0` is not retagged. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index cbce9e47..7db2a11c 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ A later system benchmark reserved seeds `980000` and `990000` before generation Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero. -Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. It is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md). +Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Five publishability gates fail-close product promotion (software compatibility, Mn/default-ignorable sanitizers, and single-detector confirmation). It is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md). See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`. @@ -144,7 +144,7 @@ Cycle 7 Stage A/B/C researched collapse-resistant *visible* edits (contractions, ## Cycle 8 status -Cycle 8 is the exact-visible-projection generation. See [`docs/cycle8/README.md`](docs/cycle8/README.md). U+200C remains a diagnostic baseline (stripped by Cf). Combining grapheme joiner U+034F letter-x1 remains a strong visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000` with a thin 0.003 gap, plus a separate experimental **0/192** (128 seen + 64 independent). The later U+034F/U+FE00 letter-mix arm is currently stronger on fresh independent corpora: **0/128** on seeds `1020000`+`1030000` with worst score 0.513691 (gap 0.043407), plus independent scale **0/256** including `1040000`+`1050000` with worst score 0.519522 (gap 0.037577). Mix is frozen as `cycle8-mix-freeze-v1` and is not a release mechanism. One-shot confirmation is **0/192**. Public CLI remains empty. +Cycle 8 is the exact-visible-projection generation. See [`docs/cycle8/README.md`](docs/cycle8/README.md). U+200C remains a diagnostic baseline (stripped by Cf). Combining grapheme joiner U+034F letter-x1 remains a strong visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000` with a thin 0.003 gap, plus a separate experimental **0/192** (128 seen + 64 independent). The later U+034F/U+FE00 letter-mix arm is currently stronger on fresh independent corpora: **0/128** on seeds `1020000`+`1030000` with worst score 0.513691 (gap 0.043407), plus independent scale **0/256** including `1040000`+`1050000` with worst score 0.519522 (gap 0.037577). Mix is frozen as `cycle8-mix-freeze-v1` and is not a release mechanism. One-shot confirmation is **0/192**. Five publishability gates fail-close product promotion. Public CLI remains empty. ## Reproduce the research environment diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index da86b286..a31fcb16 100644 --- a/docs/cycle8/README.md +++ b/docs/cycle8/README.md @@ -17,11 +17,11 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re ## Seed ledger -See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. See `docs/cycle8/letter-mix-margin.md` and `docs/cycle8/mix-freeze.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. +See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. Five publishability gates fail-close product promotion. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. ## Carrier research -See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, and `docs/cycle8/mix-freeze.md`. +See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`. U+200C is the diagnostic baseline. It is not durable under Cf-strip. diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md index 3b53bebb..dc53904c 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -39,7 +39,7 @@ Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x Seeds `1020000` and `1030000` were reserved before generation. Fresh mix is **0/128** raw transformed WM, mix UW **0/128**, visible 256/256 on the detector rows, frozen sanitizers matching raw zeros. Worst fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on the same corpora is also 0/128 with worst max 0.527389. Letter-space on `1000000`+`1010000` remains **1/128**. Chromium `pre`/textarea/contenteditable were pixel-equal on the measured mix fixtures. -Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. See `docs/cycle8/mix-freeze.md`. +Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Five publishability gates fail-close product promotion. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`. ## H3-H8 diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md index 388a3501..1dcc233e 100644 --- a/docs/cycle8/letter-mix-margin.md +++ b/docs/cycle8/letter-mix-margin.md @@ -1,6 +1,6 @@ # Cycle 8 letter-mix margin -Status: frozen as `cycle8-mix-freeze-v1`. One-shot confirmation is `VERIFIED` **0/192**. Not product-authorized. +Status: frozen as `cycle8-mix-freeze-v1`. One-shot confirmation is `VERIFIED` **0/192**. Publishability gates: not product-publishable. Not product-authorized. Development evidence: [`evidence/cycle8-mix-margin-2026-08-26/`](../../evidence/cycle8-mix-margin-2026-08-26/). Confirmation evidence: [`evidence/cycle8-mix-confirmation-2026-08-26/`](../../evidence/cycle8-mix-confirmation-2026-08-26/). See `docs/cycle8/mix-freeze.md`. diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md index 3fa6a645..25a18a22 100644 --- a/docs/cycle8/mix-freeze.md +++ b/docs/cycle8/mix-freeze.md @@ -47,4 +47,6 @@ Letter-x1 on those same confirmation corpora is also 0/192 (worst max 0.524425). Mn-strip and default-ignorable-strip remove the carriers. Latin-1 cannot encode them. Low-site rows remain closer to the threshold than high-site rows. Token expansion remains large. +The five publishability gates in `docs/cycle8/mix-publishability.md` fail-close product promotion: mix is not product-publishable. + Do not generate `950000`. The public CLI remains empty. diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md new file mode 100644 index 00000000..42caffc7 --- /dev/null +++ b/docs/cycle8/mix-publishability.md @@ -0,0 +1,48 @@ +# Cycle 8 mix publishability gates + +Status: **not product-publishable**. Mix freeze confirmation remains `VERIFIED` **0/192**. The public CLI stays empty. + +Report identity: `cycle8-mix-publishability-v1` (`specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json`). This report does not rewrite `cycle8-mix-freeze-v1` or `cycle8-mix-confirmation-scorecard-v1`. Tag `v0.3.0` is not retagged. + +The five gates are the bar for calling mix a publishable FuckMark product. Passing a research confirmation is not enough. + +## Outcome + +| Gate | Verdict | Blocks product | +| --- | --- | --- | +| Reproducibility | PASS | yes | +| Cross-environment visibility invariance | PASS | yes | +| Real-world software compatibility | FAIL | yes | +| Known sanitizer weaknesses | FAIL | yes | +| Cross-detector generalization | FAIL | yes | + +`product_publishable` is false. `product_authorized` is false. `product_approved_carriers_v1()` is empty. `process_text("I do not agree.")` is unchanged. + +## Reproducibility + +PASS. The freeze hash, confirmation scorecard hash, and product contract hash replay. Letter-mix apply is deterministic. Confirmation remains mix **0/192**, mix UW **0/192**, visible **192/192**. Do not rerun looking for zero. + +## Visibility invariance + +PASS on measured Unicode-capable surfaces: exact visible projection, NFC, UTF-8 file bytes, stdin/stdout, and terminal display width on the supported ASCII fixtures. WebKit/Safari pixels and terminal pixels stay UNKNOWN. Chromium `pre` / textarea / contenteditable equality was measured earlier on mix fixtures and is not rehashed here. + +## Software compatibility + +FAIL. UTF-8 and JSON roundtrips preserve mix. Protected URL and email spans stay intact. Latin-1 cannot encode U+034F or U+FE00. Literal search for `do not` misses after letter-mix insertion on short English text. + +## Sanitizer weaknesses + +FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers. NFKD keeps them. Those stress sanitizers are documented, not frozen product assumptions, and they still kill the mechanism. + +## Cross-detector generalization + +FAIL. Confirmation used one open detector: GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988`. In-tree Mean and Bayesian families were not confirmed on the mix freeze. No second model. Closed detectors are UNKNOWN. + +## What this does not do + +- It does not authorize mix in `release_transform_registry()`. +- It does not retag or republish `v0.3.0`. +- It does not generate `950000`. +- It does not rewrite the 0/128, 0/256, or 0/192 mix scorecards. + +See `docs/cycle8/mix-freeze.md` and `docs/product-contract.md`. diff --git a/docs/product-contract.md b/docs/product-contract.md index 2e313953..4c674d17 100644 --- a/docs/product-contract.md +++ b/docs/product-contract.md @@ -47,6 +47,16 @@ The public CLI (`release-cli-v4`) therefore returns the original text unchanged. 5. protected machine-span safety; 6. later, replicated detector reduction. +Cycle 8 mix freeze confirmation is not enough. A carrier is product-publishable only after these additional gates all PASS: + +1. reproducibility of frozen hashes and deterministic apply; +2. cross-environment visibility invariance on Unicode-capable surfaces; +3. real-world software compatibility, including Latin-1 and literal search; +4. known sanitizer weaknesses no longer kill the carriers, or an explicit product decision to accept those sanitizers as out of scope; +5. cross-detector generalization beyond one open GPT-2 SynthID Weighted Mean detector. + +`cycle8-mix-publishability-v1` currently fail-closes. See `docs/cycle8/mix-publishability.md`. + U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping. ## Historical research diff --git a/fuckmark/cycle8/publishability.py b/fuckmark/cycle8/publishability.py new file mode 100644 index 00000000..56b9a602 --- /dev/null +++ b/fuckmark/cycle8/publishability.py @@ -0,0 +1,476 @@ +from __future__ import annotations + +import json +from pathlib import Path + +from ..cli import RELEASE_CLI_ALGORITHM_VERSION, process_text +from ..config import canonical_json_text +from ..detectors.bayesian_evidence import BAYESIAN_EVIDENCE_ALGORITHM_VERSION +from ..detectors.mean import MEAN_ALGORITHM_VERSION, WEIGHTED_MEAN_ALGORITHM_VERSION +from ..detectors.types import DetectorFamily +from ..hashing import sha256_json, sha256_text +from ..product.contract import FROZEN_PRODUCT_CONTRACT_HASH +from ..product.domain import is_supported_product_domain_v1 +from ..product.roundtrip import latin1_roundtrip_survives, roundtrip_report +from ..product.visible_projection import ( + is_carrier_insertion_v1, + product_approved_carriers_v1, + project_visible_v1, +) +from ..transforms.registry import release_transform_registry +from .benchmark import ( + CYCLE8_BENCHMARK_STRESS_SANITIZER_IDS, + benchmark_fixtures, + sanitize_benchmark_stress, +) +from .compare import CYCLE8_LETTER_ALT_ARM_ID +from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix +from .mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION, build_mix_confirmation_scorecard +from .mix_freeze import ( + CYCLE8_MIX_FREEZE_VERSION, + assert_mix_freeze_committed, + mix_freeze_hash, + mix_freeze_payload, +) +from .sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant + + +CYCLE8_MIX_PUBLISHABILITY_VERSION = "cycle8-mix-publishability-v1" +CYCLE8_MIX_PUBLISHABILITY_PATH = "specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json" +CYCLE8_MIX_PUBLISHABILITY_HASH = "918513f0a9260f1bbcc66cd0cfe097a4df38cfc218aa61ff26fba9f08e7334b5" +_CONFIRMATION_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce" +_MIX_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986" +_PRODUCT_CONTRACT_HASH = "5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1" +_GATE_IDS = ( + "reproducibility", + "visibility_invariance", + "software_compatibility", + "sanitizer_weaknesses", + "cross_detector_generalization", +) +_LITERAL = "do not" +_URL = "https://example.com/do-not-touch" +_EMAIL = "docs@example.com" + + +def _check(check_id: str, verdict: str, **evidence: object) -> dict[str, object]: + if verdict not in {"PASS", "FAIL", "UNKNOWN"}: + raise ValueError("unknown check verdict") + return {"id": check_id, "verdict": verdict, **evidence} + + +def _gate( + gate_id: str, + verdict: str, + *, + product_blocking: bool, + summary: str, + checks: list[dict[str, object]], +) -> dict[str, object]: + if gate_id not in _GATE_IDS: + raise ValueError("unknown publishability gate") + if verdict not in {"PASS", "FAIL"}: + raise ValueError("unknown gate verdict") + return { + "id": gate_id, + "verdict": verdict, + "product_blocking": product_blocking, + "summary": summary, + "checks": checks, + } + + +def _json_roundtrip(text: str) -> bool: + return json.loads(json.dumps(text, ensure_ascii=False)) == text + + +def _frozen_carriers_survive(text: str) -> bool: + return all(sanitize_cycle8_scale_variant(variant, text) == text for variant in CYCLE8_SCALE_SANITIZER_VARIANT_IDS) + + +def _stress_kills_carriers(text: str) -> dict[str, bool]: + rows = {} + for variant in CYCLE8_BENCHMARK_STRESS_SANITIZER_IDS: + cleaned = sanitize_benchmark_stress(variant, text) + rows[variant] = "\u034f" not in cleaned and "\ufe00" not in cleaned + return rows + + +def measure_mix_fixtures() -> dict[str, object]: + visible_pass = 0 + supported = 0 + unsupported = 0 + utf8_pass = 0 + nfc_pass = 0 + stdio_pass = 0 + width_pass = 0 + latin1_survive = 0 + json_pass = 0 + search_candidates = 0 + search_breaks = 0 + frozen_survive = 0 + frozen_total = 0 + mn_kills = 0 + di_kills = 0 + nfkd_kills = 0 + stress_total = 0 + url_preserved = 0 + url_total = 0 + email_preserved = 0 + email_total = 0 + source = "I do not agree." + transformed = apply_letter_alternating_mix(source) + hashes = tuple(sha256_text(apply_letter_alternating_mix(source)) for _ in range(5)) + for _fixture_id, _category, text in benchmark_fixtures(): + if not is_supported_product_domain_v1(text): + unsupported += 1 + continue + supported += 1 + applied = apply_letter_alternating_mix(text) + visible = is_carrier_insertion_v1(text, applied, LETTER_MIX_APPROVED_CARRIERS) and project_visible_v1( + applied, LETTER_MIX_APPROVED_CARRIERS + ) == text + visible_pass += int(visible) + report = roundtrip_report(text, applied, LETTER_MIX_APPROVED_CARRIERS) + utf8_pass += int(bool(report["utf8_roundtrip_equals_transformed"])) + nfc_pass += int(bool(report["nfc_equals_transformed"])) + stdio_pass += int(bool(report["stdin_stdout_equals_transformed"])) + width_pass += int(bool(report["display_column_width_equal"])) + latin1_survive += int(latin1_roundtrip_survives(applied)) + json_pass += int(_json_roundtrip(applied)) + if _LITERAL in text: + search_candidates += 1 + search_breaks += int(_LITERAL not in applied) + if _URL in text: + url_total += 1 + url_preserved += int(_URL in applied) + if _EMAIL in text: + email_total += 1 + email_preserved += int(_EMAIL in applied) + if applied == text: + continue + frozen_total += 1 + frozen_survive += int(_frozen_carriers_survive(applied)) + stress = _stress_kills_carriers(applied) + stress_total += 1 + mn_kills += int(stress["mn_strip"]) + di_kills += int(stress["default_ignorable_strip"]) + nfkd_kills += int(stress["nfkd"]) + return { + "determinism_unique_hashes": len(set(hashes)), + "deterministic": len(set(hashes)) == 1, + "supported_fixtures": supported, + "unsupported_fixtures": unsupported, + "visible_projection_pass": visible_pass, + "utf8_roundtrip_pass": utf8_pass, + "nfc_pass": nfc_pass, + "stdio_pass": stdio_pass, + "display_width_pass": width_pass, + "latin1_survive": latin1_survive, + "json_roundtrip_pass": json_pass, + "search_literal_candidates": search_candidates, + "search_literal_breaks": search_breaks, + "frozen_sanitizer_survive": frozen_survive, + "frozen_sanitizer_total": frozen_total, + "mn_strip_kills": mn_kills, + "default_ignorable_strip_kills": di_kills, + "nfkd_kills": nfkd_kills, + "stress_total": stress_total, + "url_preserved": url_preserved, + "url_total": url_total, + "email_preserved": email_preserved, + "email_total": email_total, + "cli_identity": process_text(source) == source, + "cli_preserves_transformed": process_text(transformed) == transformed, + "short_paragraph_search_breaks": _LITERAL in source and _LITERAL not in transformed, + "short_paragraph_latin1_fails": latin1_roundtrip_survives(transformed) is False, + "short_paragraph_frozen_survives": _frozen_carriers_survive(transformed), + "short_paragraph_mn_kills": _stress_kills_carriers(transformed)["mn_strip"], + "short_paragraph_di_kills": _stress_kills_carriers(transformed)["default_ignorable_strip"], + "short_paragraph_nfkd_kills": _stress_kills_carriers(transformed)["nfkd"], + } + + +def mix_publishability_payload() -> dict[str, object]: + assert_mix_freeze_committed() + freeze = mix_freeze_payload() + freeze_hash = mix_freeze_hash() + scorecard = build_mix_confirmation_scorecard() + measured = measure_mix_fixtures() + registry_empty = release_transform_registry().rules == () + approved = tuple(sorted(product_approved_carriers_v1())) + reproducibility_pass = ( + freeze_hash == _MIX_FREEZE_HASH + and scorecard["scorecard_hash"] == _CONFIRMATION_SCORECARD_HASH + and FROZEN_PRODUCT_CONTRACT_HASH == _PRODUCT_CONTRACT_HASH + and measured["deterministic"] is True + and measured["cli_identity"] is True + and measured["cli_preserves_transformed"] is True + and registry_empty + and approved == () + and freeze["product_authorized"] is False + and scorecard["product_authorized"] is False + and scorecard["effectiveness"]["transformed_wm"]["rate"] == "0/192" + and scorecard["effectiveness"]["transformed_uw"]["rate"] == "0/192" + and scorecard["visibility"]["watermarked_pass_rate"] == "192/192" + ) + visibility_pass = ( + measured["supported_fixtures"] == measured["visible_projection_pass"] + and measured["utf8_roundtrip_pass"] == measured["supported_fixtures"] + and measured["nfc_pass"] == measured["supported_fixtures"] + and measured["stdio_pass"] == measured["supported_fixtures"] + and measured["display_width_pass"] == measured["supported_fixtures"] + and measured["supported_fixtures"] > 0 + ) + latin1_fail = measured["latin1_survive"] == 0 and measured["short_paragraph_latin1_fails"] is True + search_fail = measured["search_literal_breaks"] > 0 and measured["short_paragraph_search_breaks"] is True + protected_pass = ( + measured["url_total"] > 0 + and measured["email_total"] > 0 + and measured["url_preserved"] == measured["url_total"] + and measured["email_preserved"] == measured["email_total"] + ) + json_pass = measured["json_roundtrip_pass"] == measured["supported_fixtures"] + software_pass = latin1_fail is False and search_fail is False and json_pass and protected_pass + frozen_pass = ( + measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"] + and measured["frozen_sanitizer_total"] > 0 + and scorecard["durability"]["frozen_sanitizers_match_raw"] is True + ) + stress_still_kills = ( + measured["mn_strip_kills"] == measured["stress_total"] + and measured["default_ignorable_strip_kills"] == measured["stress_total"] + and measured["stress_total"] > 0 + and measured["nfkd_kills"] == 0 + ) + sanitizer_product_pass = frozen_pass and stress_still_kills is False + confirmed_families = ("huggingface-synthid-weighted-mean-gpt2",) + detector_pass = len(confirmed_families) >= 2 + gates = [ + _gate( + "reproducibility", + "PASS" if reproducibility_pass else "FAIL", + product_blocking=True, + summary="Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.", + checks=[ + _check("mix_freeze_hash", "PASS" if freeze_hash == _MIX_FREEZE_HASH else "FAIL", digest=freeze_hash), + _check( + "confirmation_scorecard_hash", + "PASS" if scorecard["scorecard_hash"] == _CONFIRMATION_SCORECARD_HASH else "FAIL", + digest=scorecard["scorecard_hash"], + ), + _check( + "product_contract_hash", + "PASS" if FROZEN_PRODUCT_CONTRACT_HASH == _PRODUCT_CONTRACT_HASH else "FAIL", + digest=FROZEN_PRODUCT_CONTRACT_HASH, + ), + _check( + "letter_mix_deterministic", + "PASS" if measured["deterministic"] else "FAIL", + unique_hashes=measured["determinism_unique_hashes"], + ), + _check("cli_identity", "PASS" if measured["cli_identity"] else "FAIL"), + _check("release_registry_empty", "PASS" if registry_empty else "FAIL"), + _check("product_carriers_empty", "PASS" if approved == () else "FAIL", carriers=list(approved)), + _check( + "confirmation_zero_of_192", + "PASS" if scorecard["effectiveness"]["transformed_wm"]["rate"] == "0/192" else "FAIL", + rate=scorecard["effectiveness"]["transformed_wm"]["rate"], + ), + ], + ), + _gate( + "visibility_invariance", + "PASS" if visibility_pass else "FAIL", + product_blocking=True, + summary="Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.", + checks=[ + _check( + "visible_projection", + "PASS" if measured["visible_projection_pass"] == measured["supported_fixtures"] else "FAIL", + pass_count=measured["visible_projection_pass"], + total=measured["supported_fixtures"], + ), + _check( + "utf8_nfc_stdio_width", + "PASS" if visibility_pass else "FAIL", + utf8=measured["utf8_roundtrip_pass"], + nfc=measured["nfc_pass"], + stdio=measured["stdio_pass"], + display_width=measured["display_width_pass"], + ), + _check("webkit_safari", "UNKNOWN"), + _check("terminal_pixels", "UNKNOWN"), + ], + ), + _gate( + "software_compatibility", + "PASS" if software_pass else "FAIL", + product_blocking=True, + summary="UTF-8 and JSON preserve mix. Latin-1 cannot encode the carriers. Literal search for ordinary English phrases breaks on most short texts.", + checks=[ + _check( + "utf8_and_json", + "PASS" if json_pass else "FAIL", + json_roundtrip_pass=measured["json_roundtrip_pass"], + total=measured["supported_fixtures"], + ), + _check( + "latin1", + "FAIL" if latin1_fail else "PASS", + survive_count=measured["latin1_survive"], + short_paragraph_fails=measured["short_paragraph_latin1_fails"], + ), + _check( + "literal_search", + "FAIL" if search_fail else "PASS", + breaks=measured["search_literal_breaks"], + candidates=measured["search_literal_candidates"], + short_paragraph_breaks=measured["short_paragraph_search_breaks"], + ), + _check( + "protected_url_email", + "PASS" if protected_pass else "FAIL", + url_preserved=measured["url_preserved"], + url_total=measured["url_total"], + email_preserved=measured["email_preserved"], + email_total=measured["email_total"], + ), + ], + ), + _gate( + "sanitizer_weaknesses", + "PASS" if sanitizer_product_pass else "FAIL", + product_blocking=True, + summary="Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. NFKD keeps them.", + checks=[ + _check( + "frozen_sanitizers", + "PASS" if frozen_pass else "FAIL", + survive=measured["frozen_sanitizer_survive"], + total=measured["frozen_sanitizer_total"], + confirmation_frozen_match_raw=scorecard["durability"]["frozen_sanitizers_match_raw"], + ), + _check( + "mn_strip", + "FAIL" if measured["short_paragraph_mn_kills"] else "PASS", + kills=measured["mn_strip_kills"], + total=measured["stress_total"], + category="stress_only_not_frozen", + ), + _check( + "default_ignorable_strip", + "FAIL" if measured["short_paragraph_di_kills"] else "PASS", + kills=measured["default_ignorable_strip_kills"], + total=measured["stress_total"], + category="stress_only_not_frozen", + ), + _check( + "nfkd", + "PASS" if measured["nfkd_kills"] == 0 else "FAIL", + kills=measured["nfkd_kills"], + total=measured["stress_total"], + ), + ], + ), + _gate( + "cross_detector_generalization", + "PASS" if detector_pass else "FAIL", + product_blocking=True, + summary="Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean and Bayesian families exist in-tree and were not confirmed on the mix freeze.", + checks=[ + _check( + "confirmed_families", + "FAIL" if len(confirmed_families) < 2 else "PASS", + families=list(confirmed_families), + count=len(confirmed_families), + ), + _check( + "in_tree_unconfirmed_families", + "FAIL", + families=[item.value for item in DetectorFamily], + mean_algorithm=MEAN_ALGORITHM_VERSION, + weighted_mean_algorithm=WEIGHTED_MEAN_ALGORITHM_VERSION, + bayesian_evidence_algorithm=BAYESIAN_EVIDENCE_ALGORITHM_VERSION, + confirmation_implementation=freeze["detector"]["implementation"], + confirmation_model=freeze["detector"]["model"], + ), + _check("second_model", "FAIL"), + _check("closed_or_proprietary_detector", "UNKNOWN"), + ], + ), + ] + product_publishable = all(gate["verdict"] == "PASS" or gate["product_blocking"] is False for gate in gates) + return { + "algorithm_version": CYCLE8_MIX_PUBLISHABILITY_VERSION, + "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID, + "freeze_version": CYCLE8_MIX_FREEZE_VERSION, + "confirmation_scorecard_version": CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION, + "cli_algorithm_version": RELEASE_CLI_ALGORITHM_VERSION, + "product_publishable": product_publishable, + "product_authorized": False, + "release_registry_empty": registry_empty, + "product_approved_carriers_v1": list(approved), + "do_not_generate_950000": True, + "do_not_retag_v030": True, + "gates": gates, + "identities": { + "mix_freeze_hash": freeze_hash, + "confirmation_scorecard_hash": scorecard["scorecard_hash"], + "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH, + }, + "confirmation": { + "transformed_wm": scorecard["effectiveness"]["transformed_wm"]["rate"], + "transformed_uw": scorecard["effectiveness"]["transformed_uw"]["rate"], + "visible": scorecard["visibility"]["watermarked_pass_rate"], + "worst_max_score": scorecard["effectiveness"]["transformed_wm"]["max_score"], + "min_gap_below_threshold": scorecard["effectiveness"]["transformed_wm"]["min_gap_below_threshold"], + "detector": freeze["detector"]["implementation"], + }, + "weaknesses": list(freeze["weaknesses"]) + + [ + "literal search for ordinary English phrases can miss after letter-mix insertion", + "confirmation is a single open SynthID Weighted Mean detector on GPT-2", + ], + } + + +def mix_publishability_hash() -> str: + return sha256_json(mix_publishability_payload()) + + +def mix_is_product_publishable() -> bool: + return bool(mix_publishability_payload()["product_publishable"]) + + +def assert_mix_publishability_committed() -> None: + path = Path(CYCLE8_MIX_PUBLISHABILITY_PATH) + if not path.is_file(): + raise ValueError("mix publishability spec is not committed") + disk = json.loads(path.read_text(encoding="utf-8")) + payload = {key: value for key, value in disk.items() if key != "report_hash"} + if payload != mix_publishability_payload(): + raise ValueError("mix publishability spec does not match the embedded payload") + digest = mix_publishability_hash() + if disk.get("report_hash") != digest: + raise ValueError("mix publishability spec hash mismatch") + if CYCLE8_MIX_PUBLISHABILITY_HASH != "0" * 64 and digest != CYCLE8_MIX_PUBLISHABILITY_HASH: + raise ValueError("mix publishability spec hash is not the frozen digest") + if disk.get("product_publishable") is True: + raise ValueError("mix must not be marked product-publishable") + if disk.get("product_authorized") is True: + raise ValueError("mix must not be product-authorized") + if product_approved_carriers_v1(): + raise ValueError("product_approved_carriers_v1 must stay empty") + if release_transform_registry().rules != (): + raise ValueError("release_transform_registry must stay empty") + if process_text("I do not agree.") != "I do not agree.": + raise ValueError("identity CLI changed") + + +def write_mix_publishability_spec(path: str | Path | None = None) -> Path: + destination = Path(path) if path is not None else Path(CYCLE8_MIX_PUBLISHABILITY_PATH) + payload = mix_publishability_payload() + report = {**payload, "report_hash": sha256_json(payload)} + destination.write_text(canonical_json_text(report) + "\n", encoding="utf-8") + return destination diff --git a/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json new file mode 100644 index 00000000..75faeb29 --- /dev/null +++ b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-publishability-v1","cli_algorithm_version":"release-cli-v4","confirmation":{"detector":"Hugging Face SynthID Weighted Mean","min_gap_below_threshold":0.03279838457434092,"transformed_uw":"0/192","transformed_wm":"0/192","visible":"192/192","worst_max_score":0.5243003808577579},"confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","do_not_generate_950000":true,"do_not_retag_v030":true,"freeze_version":"cycle8-mix-freeze-v1","gates":[{"checks":[{"digest":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","id":"mix_freeze_hash","verdict":"PASS"},{"digest":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","id":"confirmation_scorecard_hash","verdict":"PASS"},{"digest":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","id":"product_contract_hash","verdict":"PASS"},{"id":"letter_mix_deterministic","unique_hashes":1,"verdict":"PASS"},{"id":"cli_identity","verdict":"PASS"},{"id":"release_registry_empty","verdict":"PASS"},{"carriers":[],"id":"product_carriers_empty","verdict":"PASS"},{"id":"confirmation_zero_of_192","rate":"0/192","verdict":"PASS"}],"id":"reproducibility","product_blocking":true,"summary":"Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.","verdict":"PASS"},{"checks":[{"id":"visible_projection","pass_count":21,"total":21,"verdict":"PASS"},{"display_width":21,"id":"utf8_nfc_stdio_width","nfc":21,"stdio":21,"utf8":21,"verdict":"PASS"},{"id":"webkit_safari","verdict":"UNKNOWN"},{"id":"terminal_pixels","verdict":"UNKNOWN"}],"id":"visibility_invariance","product_blocking":true,"summary":"Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.","verdict":"PASS"},{"checks":[{"id":"utf8_and_json","json_roundtrip_pass":21,"total":21,"verdict":"PASS"},{"id":"latin1","short_paragraph_fails":true,"survive_count":0,"verdict":"FAIL"},{"breaks":8,"candidates":9,"id":"literal_search","short_paragraph_breaks":true,"verdict":"FAIL"},{"email_preserved":2,"email_total":2,"id":"protected_url_email","url_preserved":2,"url_total":2,"verdict":"PASS"}],"id":"software_compatibility","product_blocking":true,"summary":"UTF-8 and JSON preserve mix. Latin-1 cannot encode the carriers. Literal search for ordinary English phrases breaks on most short texts.","verdict":"FAIL"},{"checks":[{"confirmation_frozen_match_raw":true,"id":"frozen_sanitizers","survive":21,"total":21,"verdict":"PASS"},{"category":"stress_only_not_frozen","id":"mn_strip","kills":21,"total":21,"verdict":"FAIL"},{"category":"stress_only_not_frozen","id":"default_ignorable_strip","kills":21,"total":21,"verdict":"FAIL"},{"id":"nfkd","kills":0,"total":21,"verdict":"PASS"}],"id":"sanitizer_weaknesses","product_blocking":true,"summary":"Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. NFKD keeps them.","verdict":"FAIL"},{"checks":[{"count":1,"families":["huggingface-synthid-weighted-mean-gpt2"],"id":"confirmed_families","verdict":"FAIL"},{"bayesian_evidence_algorithm":"deepmind-bayesian-evidence-v1","confirmation_implementation":"Hugging Face SynthID Weighted Mean","confirmation_model":"openai-community/gpt2","families":["mean","weighted_mean","bayesian"],"id":"in_tree_unconfirmed_families","mean_algorithm":"deepmind-mean-score-v2","verdict":"FAIL","weighted_mean_algorithm":"deepmind-weighted-mean-score-v2"},{"id":"second_model","verdict":"FAIL"},{"id":"closed_or_proprietary_detector","verdict":"UNKNOWN"}],"id":"cross_detector_generalization","product_blocking":true,"summary":"Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean and Bayesian families exist in-tree and were not confirmed on the mix freeze.","verdict":"FAIL"}],"identities":{"confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"},"mechanism_id":"u034f-ufe00-letter-alt-v1","product_approved_carriers_v1":[],"product_authorized":false,"product_publishable":false,"release_registry_empty":true,"report_hash":"918513f0a9260f1bbcc66cd0cfe097a4df38cfc218aa61ff26fba9f08e7334b5","weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","low-site rows can remain closer to threshold than high-site rows","token expansion remains large","literal search for ordinary English phrases can miss after letter-mix insertion","confirmation is a single open SynthID Weighted Mean detector on GPT-2"]} diff --git a/tests/test_cycle8_mix_publishability.py b/tests/test_cycle8_mix_publishability.py new file mode 100644 index 00000000..e0cedea8 --- /dev/null +++ b/tests/test_cycle8_mix_publishability.py @@ -0,0 +1,90 @@ +import json +from pathlib import Path + +from fuckmark.cli import RELEASE_CLI_ALGORITHM_VERSION, process_text +from fuckmark.cycle8.compare import CYCLE8_LETTER_ALT_ARM_ID +from fuckmark.cycle8.mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION +from fuckmark.cycle8.mix_freeze import CYCLE8_MIX_FREEZE_VERSION, mix_freeze_hash +from fuckmark.cycle8.publishability import ( + CYCLE8_MIX_PUBLISHABILITY_HASH, + CYCLE8_MIX_PUBLISHABILITY_PATH, + CYCLE8_MIX_PUBLISHABILITY_VERSION, + assert_mix_publishability_committed, + mix_is_product_publishable, + mix_publishability_hash, + mix_publishability_payload, +) +from fuckmark.hashing import sha256_json +from fuckmark.product.contract import FROZEN_PRODUCT_CONTRACT_HASH +from fuckmark.product.visible_projection import product_approved_carriers_v1 +from fuckmark.transforms.registry import release_transform_registry + + +_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986" +_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce" + + +def _load() -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_MIX_PUBLISHABILITY_PATH).read_text(encoding="utf-8")) + + +def test_mix_publishability_spec_fail_closes_product_promotion() -> None: + disk = _load() + body = {key: value for key, value in disk.items() if key != "report_hash"} + payload = mix_publishability_payload() + assert body == payload + assert disk["report_hash"] == mix_publishability_hash() == sha256_json(payload) == CYCLE8_MIX_PUBLISHABILITY_HASH + assert disk["algorithm_version"] == CYCLE8_MIX_PUBLISHABILITY_VERSION + assert disk["mechanism_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert disk["freeze_version"] == CYCLE8_MIX_FREEZE_VERSION + assert disk["confirmation_scorecard_version"] == CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION + assert disk["cli_algorithm_version"] == RELEASE_CLI_ALGORITHM_VERSION + assert disk["product_publishable"] is False + assert disk["product_authorized"] is False + assert disk["release_registry_empty"] is True + assert disk["product_approved_carriers_v1"] == [] + assert disk["do_not_generate_950000"] is True + assert disk["do_not_retag_v030"] is True + assert mix_is_product_publishable() is False + assert_mix_publishability_committed() + assert release_transform_registry().rules == () + assert product_approved_carriers_v1() == frozenset() + assert process_text("I do not agree.") == "I do not agree." + + +def test_mix_publishability_gates_match_measured_evidence() -> None: + payload = mix_publishability_payload() + gates = {gate["id"]: gate for gate in payload["gates"]} + assert tuple(gates) == ( + "reproducibility", + "visibility_invariance", + "software_compatibility", + "sanitizer_weaknesses", + "cross_detector_generalization", + ) + assert gates["reproducibility"]["verdict"] == "PASS" + assert gates["visibility_invariance"]["verdict"] == "PASS" + assert gates["software_compatibility"]["verdict"] == "FAIL" + assert gates["sanitizer_weaknesses"]["verdict"] == "FAIL" + assert gates["cross_detector_generalization"]["verdict"] == "FAIL" + assert all(gate["product_blocking"] is True for gate in payload["gates"]) + checks = {gate["id"]: {check["id"]: check["verdict"] for check in gate["checks"]} for gate in payload["gates"]} + assert checks["reproducibility"]["confirmation_zero_of_192"] == "PASS" + assert checks["visibility_invariance"]["visible_projection"] == "PASS" + assert checks["visibility_invariance"]["webkit_safari"] == "UNKNOWN" + assert checks["software_compatibility"]["utf8_and_json"] == "PASS" + assert checks["software_compatibility"]["latin1"] == "FAIL" + assert checks["software_compatibility"]["literal_search"] == "FAIL" + assert checks["software_compatibility"]["protected_url_email"] == "PASS" + assert checks["sanitizer_weaknesses"]["frozen_sanitizers"] == "PASS" + assert checks["sanitizer_weaknesses"]["mn_strip"] == "FAIL" + assert checks["sanitizer_weaknesses"]["default_ignorable_strip"] == "FAIL" + assert checks["sanitizer_weaknesses"]["nfkd"] == "PASS" + assert checks["cross_detector_generalization"]["confirmed_families"] == "FAIL" + assert checks["cross_detector_generalization"]["second_model"] == "FAIL" + assert payload["identities"]["mix_freeze_hash"] == mix_freeze_hash() == _FREEZE_HASH + assert payload["identities"]["confirmation_scorecard_hash"] == _SCORECARD_HASH + assert payload["identities"]["product_contract_hash"] == FROZEN_PRODUCT_CONTRACT_HASH + assert payload["confirmation"]["transformed_wm"] == "0/192" + assert payload["confirmation"]["transformed_uw"] == "0/192" + assert payload["confirmation"]["visible"] == "192/192" From 09aec3bd6aa4792ecb42c8fc4b013d0d68ea958a Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Thu, 27 Aug 2026 00:04:52 +0000 Subject: [PATCH 02/28] Harden Cycle 8 mix publishability software and evidence gates. UTF-8 is the only product encoding; latin-1, ascii, and cp1252 are rejected. Visible-projection search is the product search API. Assigned Unicode has no stronger Priority-Zero invisible mechanism. Mean versus Weighted Mean on the same GPT-2 adapter is HYPOTHESIS 0/192, not a second model. Mix stays out of the public CLI. Co-authored-by: Byte271 --- CHANGELOG.md | 2 +- README.md | 4 +- docs/cli.md | 5 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 9 +- docs/cycle8/mix-freeze.md | 4 +- docs/cycle8/mix-publishability.md | 37 +++- docs/product-contract.md | 4 +- .../README.md | 20 ++ .../SHA256SUMS.txt | 2 + .../scorecard.json | 1 + fuckmark/cli.py | 30 ++- fuckmark/cycle8/__init__.py | 8 + fuckmark/cycle8/browser_search.py | 148 ++++++++++++++ fuckmark/cycle8/detector_transfer.py | 189 ++++++++++++++++++ fuckmark/cycle8/feasibility.py | 131 ++++++++++++ fuckmark/cycle8/publishability.py | 112 +++++++++-- fuckmark/cycle8_detector_transfer_hf.py | 77 +++++++ fuckmark/product/__init__.py | 20 ++ fuckmark/product/encodings.py | 46 +++++ fuckmark/product/search.py | 25 +++ ...cle8-invisible-carrier-feasibility-v1.json | 1 + ...fuckmark-cycle8-mix-publishability-v1.json | 2 +- tests/test_cli.py | 18 ++ tests/test_cycle8_browser_search.py | 22 ++ tests/test_cycle8_detector_transfer.py | 63 ++++++ tests/test_cycle8_feasibility.py | 68 +++++++ tests/test_cycle8_mix_publishability.py | 12 +- tests/test_product_encodings.py | 39 ++++ tests/test_product_search.py | 21 ++ 30 files changed, 1086 insertions(+), 36 deletions(-) create mode 100644 evidence/cycle8-mix-mean-transfer-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-mean-transfer-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-mean-transfer-2026-08-26/scorecard.json create mode 100644 fuckmark/cycle8/browser_search.py create mode 100644 fuckmark/cycle8/detector_transfer.py create mode 100644 fuckmark/cycle8/feasibility.py create mode 100644 fuckmark/cycle8_detector_transfer_hf.py create mode 100644 fuckmark/product/encodings.py create mode 100644 fuckmark/product/search.py create mode 100644 specs/cycle8/fuckmark-cycle8-invisible-carrier-feasibility-v1.json create mode 100644 tests/test_cycle8_browser_search.py create mode 100644 tests/test_cycle8_detector_transfer.py create mode 100644 tests/test_cycle8_feasibility.py create mode 100644 tests/test_product_encodings.py create mode 100644 tests/test_product_search.py diff --git a/CHANGELOG.md b/CHANGELOG.md index d16199c1..75ddb070 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -32,7 +32,7 @@ - Cycle 8 letter-mix scale reserved seeds `1040000` and `1050000` before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix score 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale, not confirmation. - Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty. - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`. -- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Five product gates: reproducibility PASS, visibility invariance PASS, software compatibility FAIL (Latin-1 and literal search), sanitizer weaknesses FAIL (Mn-strip and default-ignorable-strip), cross-detector generalization FAIL (one open SynthID Weighted Mean detector). Mix is not product-publishable. Tag `v0.3.0` is not retagged. +- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility found no stronger Priority-Zero invisible mechanism. Cross-detector still FAIL; Mean versus Weighted Mean on the same GPT-2 Hugging Face SynthID adapter is HYPOTHESIS mix **0/192**, not a second model and not a confirmation rewrite. Mix is not product-publishable. Tag `v0.3.0` is not retagged. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 7db2a11c..c2dea09b 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ A later system benchmark reserved seeds `980000` and `990000` before generation Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero. -Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Five publishability gates fail-close product promotion (software compatibility, Mn/default-ignorable sanitizers, and single-detector confirmation). It is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md). +Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; Mn/default-ignorable sanitizers and single-detector confirmation still FAIL. It is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md). See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`. @@ -144,7 +144,7 @@ Cycle 7 Stage A/B/C researched collapse-resistant *visible* edits (contractions, ## Cycle 8 status -Cycle 8 is the exact-visible-projection generation. See [`docs/cycle8/README.md`](docs/cycle8/README.md). U+200C remains a diagnostic baseline (stripped by Cf). Combining grapheme joiner U+034F letter-x1 remains a strong visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000` with a thin 0.003 gap, plus a separate experimental **0/192** (128 seen + 64 independent). The later U+034F/U+FE00 letter-mix arm is currently stronger on fresh independent corpora: **0/128** on seeds `1020000`+`1030000` with worst score 0.513691 (gap 0.043407), plus independent scale **0/256** including `1040000`+`1050000` with worst score 0.519522 (gap 0.037577). Mix is frozen as `cycle8-mix-freeze-v1` and is not a release mechanism. One-shot confirmation is **0/192**. Five publishability gates fail-close product promotion. Public CLI remains empty. +Cycle 8 is the exact-visible-projection generation. See [`docs/cycle8/README.md`](docs/cycle8/README.md). U+200C remains a diagnostic baseline (stripped by Cf). Combining grapheme joiner U+034F letter-x1 remains a strong visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000` with a thin 0.003 gap, plus a separate experimental **0/192** (128 seen + 64 independent). The later U+034F/U+FE00 letter-mix arm is currently stronger on fresh independent corpora: **0/128** on seeds `1020000`+`1030000` with worst score 0.513691 (gap 0.043407), plus independent scale **0/256** including `1040000`+`1050000` with worst score 0.519522 (gap 0.037577). Mix is frozen as `cycle8-mix-freeze-v1` and is not a release mechanism. One-shot confirmation is **0/192**. Publishability still fail-closes: sanitizer weaknesses and cross-detector generalization remain FAIL. Public CLI remains empty. ## Reproduce the research environment diff --git a/docs/cli.md b/docs/cli.md index 486de085..f3d8e531 100644 --- a/docs/cli.md +++ b/docs/cli.md @@ -34,12 +34,13 @@ Use `--stdin` or `--non-interactive` to request the same mode explicitly. Standa ## File use -The positional input path is decoded strictly as UTF-8: +The positional input path is decoded strictly as UTF-8. Latin-1, ASCII, and Windows-1252 are unsupported product encodings: ```text FuckMark input.txt FuckMark input.txt --output output.txt FuckMark input.txt --copy +FuckMark --stdin --encoding latin-1 # rejected ``` Without `--output`, file-mode output is written to standard output. `--output -` also selects standard output. Named output files are written through an fsynced temporary file and atomically replaced. Input and output paths must differ. @@ -52,6 +53,8 @@ Without `--output`, file-mode output is written to standard output. `--output -` | `--stdin`, `--non-interactive` | Read all standard input in explicit stream mode. | | `-o FILE`, `--output FILE` | Atomically write transformed UTF-8 text to a file. | | `--copy` | Also copy transformed text to the platform clipboard. | +| `--visible` | Write the user-visible projection of the product-authorized payload. With zero approved carriers this is identity. | +| `--encoding NAME` | Output encoding. Only `utf-8` is supported. `latin-1`, `ascii`, and `cp1252` are rejected. | | `-q`, `--quiet` | Hide interactive processing and completion messages. | | `--no-color` | Disable ANSI terminal color. | diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index a31fcb16..64a3cdd2 100644 --- a/docs/cycle8/README.md +++ b/docs/cycle8/README.md @@ -17,7 +17,7 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re ## Seed ledger -See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. Five publishability gates fail-close product promotion. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. +See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector FAIL. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. ## Carrier research diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md index dc53904c..9b2f14b2 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -39,7 +39,7 @@ Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x Seeds `1020000` and `1030000` were reserved before generation. Fresh mix is **0/128** raw transformed WM, mix UW **0/128**, visible 256/256 on the detector rows, frozen sanitizers matching raw zeros. Worst fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on the same corpora is also 0/128 with worst max 0.527389. Letter-space on `1000000`+`1010000` remains **1/128**. Chromium `pre`/textarea/contenteditable were pixel-equal on the measured mix fixtures. -Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Five publishability gates fail-close product promotion. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`. +Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer and cross-detector still FAIL. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`. ## H3-H8 @@ -47,7 +47,11 @@ Placement geometry, Cycle 6 scheduler reuse, and root-window correlation remain ## H9. Feasibility boundary -Still `HYPOTHESIS`. If every tokenizer-disruptive invisible carrier is removed by ordinary sanitizers, Cycle 8 will freeze that boundary rather than weaken Priority Zero. +`VERIFIED` as a negative result for product-safe stronger carriers. Assigned Unicode scalar values were scanned in `cycle8-invisible-carrier-feasibility-v1`. No code point is simultaneously invisible, not Mn, not Cf, not default-ignorable, and pixel-equal on Chromium `pre`. + +Mix carriers U+034F and U+FE00 are Mn and default-ignorable, so Mn-strip and default-ignorable-strip restore the source. Cf dies to frozen Cf-strip. The 13 enclosing marks (Me, probe U+20DD) survive those stress sanitizers and have display width 0, but they change rendered pixels and are `REJECTED`. Other non-Mn/Cf assigned characters: 0. + +Cycle 8 freezes that boundary rather than weaken Priority Zero. There is no stronger invisible Unicode product mechanism under the current contract. ## Rejected as product mechanisms @@ -56,6 +60,7 @@ Still `HYPOTHESIS`. If every tokenizer-disruptive invisible carrier is removed b | Contractions / Cycle 7 durable edits | `PRODUCT_DISQUALIFIED` | visible words or punctuation change | | Cycle 6 U+0020 runs | `PRODUCT_DISQUALIFIED` | visible spacing change | | U+200C / other Cf | `REJECTED` as durable; diagnostic only | Cf-strip restores the original string | +| Enclosing marks (Me, probe U+20DD) | `REJECTED` | survive Mn/DI/Cf-strip but change Chromium `pre` pixels | | NBSP / hair spaces / dashes / homoglyphs | `REJECTED` | visible or NFKC-mapped layout/glyph change | ## Baseline diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md index 25a18a22..e2193488 100644 --- a/docs/cycle8/mix-freeze.md +++ b/docs/cycle8/mix-freeze.md @@ -45,8 +45,8 @@ Letter-x1 on those same confirmation corpora is also 0/192 (worst max 0.524425). ## Weaknesses -Mn-strip and default-ignorable-strip remove the carriers. Latin-1 cannot encode them. Low-site rows remain closer to the threshold than high-site rows. Token expansion remains large. +Mn-strip and default-ignorable-strip remove the carriers. Assigned Unicode has no stronger invisible product mechanism that survives those sanitizers while keeping exact visible text. Latin-1 cannot encode the carriers and is an unsupported product encoding. Low-site rows remain closer to the threshold than high-site rows. Token expansion remains large. -The five publishability gates in `docs/cycle8/mix-publishability.md` fail-close product promotion: mix is not product-publishable. +The five publishability gates in `docs/cycle8/mix-publishability.md` fail-close product promotion: mix is not product-publishable. Software compatibility now PASSes on the UTF-8 / visible-search product surface. Sanitizer and cross-detector gates still FAIL. Do not generate `950000`. The public CLI remains empty. diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md index 42caffc7..8846750e 100644 --- a/docs/cycle8/mix-publishability.md +++ b/docs/cycle8/mix-publishability.md @@ -12,7 +12,7 @@ The five gates are the bar for calling mix a publishable FuckMark product. Passi | --- | --- | --- | | Reproducibility | PASS | yes | | Cross-environment visibility invariance | PASS | yes | -| Real-world software compatibility | FAIL | yes | +| Real-world software compatibility | PASS | yes | | Known sanitizer weaknesses | FAIL | yes | | Cross-detector generalization | FAIL | yes | @@ -28,15 +28,42 @@ PASS on measured Unicode-capable surfaces: exact visible projection, NFC, UTF-8 ## Software compatibility -FAIL. UTF-8 and JSON roundtrips preserve mix. Protected URL and email spans stay intact. Latin-1 cannot encode U+034F or U+FE00. Literal search for `do not` misses after letter-mix insertion on short English text. +PASS on the product surface: + +- UTF-8 is the only supported product encoding. JSON roundtrips preserve mix. +- Latin-1, ASCII, and cp1252 are **unsupported**. Mix cannot encode there; the CLI rejects `--encoding latin-1` instead of claiming a roundtrip. +- Product search is visible-projection search (`visible_contains`). After letter-mix, `do not` is found on the visible projection and missed by raw codepoint `in`. +- Raw codepoint search is **not** the product search API. Many editors that search UTF-16 code units will miss intra-letter carriers. That is a payload limitation, not a claimed editor Ctrl+F guarantee. +- Chromium `window.find` HIT for `do not` on mix text was measured on a host with Chrome. That measurement is host-dependent and is **not** hashed into this spec. CI without Chrome reports UNKNOWN. +- Protected URL and email spans stay intact. Clipboard copies Unicode text. `--visible` writes the product-authorized visible projection (currently identity, because no carrier is authorized). ## Sanitizer weaknesses -FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers. NFKD keeps them. Those stress sanitizers are documented, not frozen product assumptions, and they still kill the mechanism. +FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers because U+034F and U+FE00 are Mn and default-ignorable. NFKD keeps them. + +Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism: + +- visible/control: 140882 +- Cf: 161 (dies to frozen Cf-strip) +- Mn: 1985 (dies to Mn-strip; mix lives here) +- Me enclosing marks: 13 (survive Mn/DI/Cf-strip, display width 0, Chromium `pre` pixels change; rejected) +- other non-Mn/Cf: 0 + +Enclosing marks are not product-safe. Cycle 8 freezes that H9 boundary rather than changing visible English text. ## Cross-detector generalization -FAIL. Confirmation used one open detector: GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988`. In-tree Mean and Bayesian families were not confirmed on the mix freeze. No second model. Closed detectors are UNKNOWN. +FAIL. Confirmation used one open detector: GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988`. + +Independent Mean-family scoring on the **same** adapter, model, threshold, and spent confirmation *source* texts is `HYPOTHESIS`: + +- mix Mean WM **0/192**, mix Mean UW **0/192**, max 0.520947 +- mix Weighted Mean WM **0/192**, mix Weighted Mean UW **0/192**, max 0.524300 (matches confirmation) +- identity Weighted Mean 185/192 WM and 2/192 UW match confirmation identity counts + +That is not a second model. It is not proprietary-detector transfer. It is not a confirmation rewrite. Bayesian-family evidence was not collected. Closed detectors stay UNKNOWN. + +See `evidence/cycle8-mix-mean-transfer-2026-08-26/`. ## What this does not do @@ -45,4 +72,4 @@ FAIL. Confirmation used one open detector: GPT-2 / Hugging Face SynthID Weighted - It does not generate `950000`. - It does not rewrite the 0/128, 0/256, or 0/192 mix scorecards. -See `docs/cycle8/mix-freeze.md` and `docs/product-contract.md`. +See `docs/cycle8/mix-freeze.md`, `docs/cycle8/carrier-research.md`, and `docs/product-contract.md`. diff --git a/docs/product-contract.md b/docs/product-contract.md index 4c674d17..783a145a 100644 --- a/docs/product-contract.md +++ b/docs/product-contract.md @@ -51,11 +51,11 @@ Cycle 8 mix freeze confirmation is not enough. A carrier is product-publishable 1. reproducibility of frozen hashes and deterministic apply; 2. cross-environment visibility invariance on Unicode-capable surfaces; -3. real-world software compatibility, including Latin-1 and literal search; +3. real-world software compatibility on the product surface (UTF-8 only; visible-projection search; Latin-1/ASCII/cp1252 unsupported rather than pretended); 4. known sanitizer weaknesses no longer kill the carriers, or an explicit product decision to accept those sanitizers as out of scope; 5. cross-detector generalization beyond one open GPT-2 SynthID Weighted Mean detector. -`cycle8-mix-publishability-v1` currently fail-closes. See `docs/cycle8/mix-publishability.md`. +`cycle8-mix-publishability-v1` currently fail-closes. Software compatibility now PASSes on that product surface. Sanitizer weaknesses and cross-detector generalization still FAIL. See `docs/cycle8/mix-publishability.md`. U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping. diff --git a/evidence/cycle8-mix-mean-transfer-2026-08-26/README.md b/evidence/cycle8-mix-mean-transfer-2026-08-26/README.md new file mode 100644 index 00000000..4b196929 --- /dev/null +++ b/evidence/cycle8-mix-mean-transfer-2026-08-26/README.md @@ -0,0 +1,20 @@ +# Cycle 8 mix Mean versus Weighted Mean transfer + +Status: `HYPOTHESIS`. Not confirmation. Not a second model. Not product authorization. + +This scores the frozen mix apply `u034f-ufe00-letter-alt-v1` on the spent confirmation *source* texts from seeds `830000`, `840000`, and `850000`. It does not regenerate those corpora. It does not retune sites. Residual transformed text is not stored; only source hashes and mix payload hashes are kept. + +Both families are computed from one Hugging Face GPT-2 SynthID observation adapter (`HuggingFaceSynthIDAdapter`, model `openai-community/gpt2`) at the frozen threshold `0.5570987654320988`. + +## Result + +| Family | Mix WM | Mix UW | Identity WM | Identity UW | Mix WM max | +| --- | ---: | ---: | ---: | ---: | ---: | +| Weighted Mean | **0/192** | 0/192 | 185/192 | 2/192 | 0.524300 | +| Mean | **0/192** | 0/192 | 187/192 | 1/192 | 0.520947 | + +Weighted Mean mix max `0.5243003808577579` matches the frozen confirmation scorecard. Identity Weighted Mean 185/192 and 2/192 match confirmation identity counts. That is a sanity check that this runner used the same apply and scoring path. It is not a new 0/192 confirmation. + +Mean 0/192 is the same observations with a different aggregator. It is not an independent model, not a proprietary detector, and not Bayesian-family evidence. + +`product_authorized` is false. Do not generate `950000`. Do not rerun looking for zero. diff --git a/evidence/cycle8-mix-mean-transfer-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-mean-transfer-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..9872caaf --- /dev/null +++ b/evidence/cycle8-mix-mean-transfer-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,2 @@ +aa479c70e82e4fe746d8301eea482dadff3b01d5fef1afa2addaaeefd5fac770 README.md +50f06e4db6a014f37072db8d9ffcd90d29b151e339555ba39558c2daa6f92bbc scorecard.json diff --git a/evidence/cycle8-mix-mean-transfer-2026-08-26/scorecard.json b/evidence/cycle8-mix-mean-transfer-2026-08-26/scorecard.json new file mode 100644 index 00000000..35a68409 --- /dev/null +++ b/evidence/cycle8-mix-mean-transfer-2026-08-26/scorecard.json @@ -0,0 +1 @@ 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frozen mix apply on spent confirmation source texts. Mean versus Weighted Mean on one Hugging Face GPT-2 SynthID observation adapter. Not a second model. Not proprietary-detector transfer.","scorecard_hash":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","second_model":false,"threshold":0.5570987654320988} diff --git a/fuckmark/cli.py b/fuckmark/cli.py index 1fe4c288..8e98392c 100644 --- a/fuckmark/cli.py +++ b/fuckmark/cli.py @@ -12,7 +12,12 @@ from typing import TextIO from . import __project_name__, __version__ -from .product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1 +from .product.encodings import require_supported_product_encoding +from .product.visible_projection import ( + is_carrier_insertion_v1, + product_approved_carriers_v1, + project_visible_v1, +) from .transforms import TRANSFORM_REGISTRY_ALGORITHM_VERSION, release_transform_registry @@ -124,6 +129,17 @@ def _parser() -> argparse.ArgumentParser: action="store_true", help="also copy the transformed text to the system clipboard", ) + parser.add_argument( + "--visible", + action="store_true", + help="write the user-visible projection instead of the raw Unicode payload", + ) + parser.add_argument( + "--encoding", + default="utf-8", + metavar="NAME", + help="output encoding; only utf-8 is supported (latin-1, ascii, and cp1252 are rejected)", + ) parser.add_argument( "-q", "--quiet", @@ -253,6 +269,10 @@ def main( output = sys.stdout if output_stream is None else output_stream errors = sys.stderr if error_stream is None else error_stream + try: + require_supported_product_encoding(arguments.encoding) + except ValueError as error: + return _error(errors, str(error)) if arguments.stdin_mode and arguments.input_file not in (None, "-"): return _error(errors, "FILE cannot be combined with --stdin") if ( @@ -293,18 +313,22 @@ def main( except (KeyError, TypeError, ValueError) as error: return _error(errors, f"transformation failed: {error}") + output_text = result.output_text + if arguments.visible: + output_text = project_visible_v1(output_text, product_approved_carriers_v1()) + should_copy = arguments.copy copy_failed: Exception | None = None if should_copy: writer = copy_to_clipboard if clipboard_writer is None else clipboard_writer try: - writer(result.output_text) + writer(output_text) except Exception as error: copy_failed = error try: if batch_mode or arguments.output is not None or copy_failed is not None or (interactive and not should_copy): - _write_result(result.output_text, arguments.output, output) + _write_result(output_text, arguments.output, output) if interactive and (arguments.output is None or arguments.output == "-"): output.write("\n") output.flush() diff --git a/fuckmark/cycle8/__init__.py b/fuckmark/cycle8/__init__.py index e27dd7c5..f4f0e5df 100644 --- a/fuckmark/cycle8/__init__.py +++ b/fuckmark/cycle8/__init__.py @@ -32,6 +32,11 @@ ) from .scoreboard import CYCLE8_SCOREBOARD_VERSION, EvidenceLabel, ProductGate, product_scoreboard_payload from .tokenizer_screen import GPT2_FIXTURE, load_gpt2_encoder, require_gpt2_encoder, screen_carrier_tokenizer +from .feasibility import ( + CYCLE8_FEASIBILITY_HASH, + CYCLE8_FEASIBILITY_VERSION, + scan_invisible_carrier_feasibility, +) from .unicode_meta import ( UNICODE_PROPERTY_SCAN_VERSION, audit_codepoints, @@ -45,6 +50,8 @@ "CYCLE8_DECISION_VERSION", "CYCLE8_DETECTOR_ARM_IDS", "CYCLE8_EXPLORATORY_SEED_BASE", + "CYCLE8_FEASIBILITY_HASH", + "CYCLE8_FEASIBILITY_VERSION", "CYCLE8_FIXTURE_COMPARE_VERSION", "CYCLE8_LEDGER_VERSION", "CYCLE8_REPLICATION_SEED_BASE", @@ -80,6 +87,7 @@ "measure_carrier_arm", "product_scoreboard_payload", "run_fixture_compare", + "scan_invisible_carrier_feasibility", "screen_carrier_tokenizer", "select_letter_mix_sites", ] diff --git a/fuckmark/cycle8/browser_search.py b/fuckmark/cycle8/browser_search.py new file mode 100644 index 00000000..656fb3c0 --- /dev/null +++ b/fuckmark/cycle8/browser_search.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +import json +import subprocess +import tempfile +import time +from pathlib import Path + +from ..hashing import sha256_json, sha256_text +from ..product.rendering import chrome_executable + + +BROWSER_SEARCH_VERSION = "cycle8-chromium-find-v1" + + +def _screenshot(executable: str, root: Path, name: str, html: str) -> bytes: + html_path = root / f"{name}.html" + png_path = root / f"{name}.png" + html_path.write_text(html, encoding="utf-8") + process = subprocess.Popen( + [ + executable, + "--headless=new", + "--disable-gpu", + "--no-sandbox", + "--disable-dev-shm-usage", + "--hide-scrollbars", + "--no-first-run", + "--disable-background-networking", + "--virtual-time-budget=5000", + "--window-size=400,120", + f"--screenshot={png_path}", + html_path.as_uri(), + ], + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + try: + deadline = time.monotonic() + 30 + while time.monotonic() < deadline: + if png_path.exists() and png_path.stat().st_size > 0: + time.sleep(0.25) + break + if process.poll() is not None: + break + time.sleep(0.05) + if process.poll() is None: + process.kill() + process.wait(timeout=5) + finally: + if process.poll() is None: + process.kill() + try: + process.wait(timeout=5) + except subprocess.TimeoutExpired: + process.kill() + if not png_path.exists() or png_path.stat().st_size == 0: + raise OSError("chrome screenshot missing") + return png_path.read_bytes() + + +def _label_page(label: str) -> str: + return ( + "" + f"
{label}
" + "" + ) + + +def _find_page(text: str, needle: str) -> str: + payload = json.dumps(text, ensure_ascii=False).replace("<", "\\u003c").replace(">", "\\u003e") + codes = ",".join(str(ord(character)) for character in needle) + return ( + "" + "" + "
"
+        "
WAIT
"
+        ""
+    )
+
+
+def compare_chrome_find(text: str, needle: str) -> dict[str, object]:
+    if not isinstance(text, str) or not isinstance(needle, str):
+        raise TypeError("text and needle must be strings")
+    executable = chrome_executable()
+    unknown = {
+        "algorithm_version": BROWSER_SEARCH_VERSION,
+        "environment": "chromium_window_find",
+        "status": "UNKNOWN",
+        "hit": None,
+        "needle_sha256": sha256_text(needle),
+        "text_sha256": sha256_text(text),
+        "detail": "no chromium executable on this host",
+    }
+    if executable is None:
+        return {**unknown, "comparison_hash": sha256_json(unknown)}
+    try:
+        with tempfile.TemporaryDirectory(prefix="fuckmark-find-") as directory:
+            root = Path(directory)
+            hit_png = _screenshot(executable, root, "hit", _label_page("HIT"))
+            miss_png = _screenshot(executable, root, "miss", _label_page("MISS"))
+            none_png = _screenshot(executable, root, "none", _label_page("NONE"))
+            result_png = _screenshot(executable, root, "find", _find_page(text, needle))
+    except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired) as error:
+        payload = {
+            "algorithm_version": BROWSER_SEARCH_VERSION,
+            "environment": "chromium_window_find",
+            "status": "UNKNOWN",
+            "hit": None,
+            "needle_sha256": sha256_text(needle),
+            "text_sha256": sha256_text(text),
+            "detail": type(error).__name__,
+        }
+        return {**payload, "comparison_hash": sha256_json(payload)}
+    if result_png == hit_png:
+        hit = True
+        status = "VERIFIED"
+        detail = "window_find_hit"
+    elif result_png == miss_png:
+        hit = False
+        status = "VERIFIED"
+        detail = "window_find_miss"
+    elif result_png == none_png:
+        hit = None
+        status = "UNKNOWN"
+        detail = "window_find_missing"
+    else:
+        hit = None
+        status = "UNKNOWN"
+        detail = "window_find_unmatched_png"
+    payload = {
+        "algorithm_version": BROWSER_SEARCH_VERSION,
+        "environment": "chromium_window_find",
+        "status": status,
+        "hit": hit,
+        "needle_sha256": sha256_text(needle),
+        "text_sha256": sha256_text(text),
+        "detail": detail,
+    }
+    return {**payload, "comparison_hash": sha256_json(payload)}
diff --git a/fuckmark/cycle8/detector_transfer.py b/fuckmark/cycle8/detector_transfer.py
new file mode 100644
index 00000000..99bc33d3
--- /dev/null
+++ b/fuckmark/cycle8/detector_transfer.py
@@ -0,0 +1,189 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from ..hashing import sha256_json
+from .compare import CYCLE8_LETTER_ALT_ARM_ID
+from .mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION
+from .mix_freeze import CYCLE8_MIX_FREEZE_VERSION
+
+
+CYCLE8_MIX_DETECTOR_TRANSFER_VERSION = "cycle8-mix-mean-transfer-v1"
+CYCLE8_MIX_DETECTOR_TRANSFER_PATH = "evidence/cycle8-mix-mean-transfer-2026-08-26/scorecard.json"
+CYCLE8_MIX_DETECTOR_TRANSFER_HASH = "1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620"
+_CORPORA = (
+    (830000, "evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/detector-compare.json"),
+    (840000, "evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json"),
+    (850000, "evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json"),
+)
+
+
+def confirmation_source_paths() -> tuple[tuple[int, str], ...]:
+    return _CORPORA
+
+
+def build_mix_mean_transfer_scorecard(rows: list[dict[str, object]]) -> dict[str, object]:
+    if not isinstance(rows, list) or not rows:
+        raise ValueError("transfer rows must be a non-empty list")
+    mix_wm_mean = 0
+    mix_wm_weighted = 0
+    mix_uw_mean = 0
+    mix_uw_weighted = 0
+    identity_wm_mean = 0
+    identity_wm_weighted = 0
+    identity_uw_mean = 0
+    identity_uw_weighted = 0
+    mix_wm_n = 0
+    mix_uw_n = 0
+    identity_wm_n = 0
+    identity_uw_n = 0
+    mix_wm_max_mean = None
+    mix_wm_max_weighted = None
+    compact = []
+    for row in rows:
+        label = str(row["label"])
+        identity = row["identity"]
+        mix = row["mix"]
+        if label == "watermarked":
+            mix_wm_n += 1
+            identity_wm_n += 1
+            mix_wm_mean += int(bool(mix["mean_detected"]))
+            mix_wm_weighted += int(bool(mix["weighted_mean_detected"]))
+            identity_wm_mean += int(bool(identity["mean_detected"]))
+            identity_wm_weighted += int(bool(identity["weighted_mean_detected"]))
+            mix_score = float(mix["mean_score"])
+            weighted_score = float(mix["weighted_mean_score"])
+            mix_wm_max_mean = mix_score if mix_wm_max_mean is None else max(mix_wm_max_mean, mix_score)
+            mix_wm_max_weighted = (
+                weighted_score if mix_wm_max_weighted is None else max(mix_wm_max_weighted, weighted_score)
+            )
+        elif label == "unwatermarked":
+            mix_uw_n += 1
+            identity_uw_n += 1
+            mix_uw_mean += int(bool(mix["mean_detected"]))
+            mix_uw_weighted += int(bool(mix["weighted_mean_detected"]))
+            identity_uw_mean += int(bool(identity["mean_detected"]))
+            identity_uw_weighted += int(bool(identity["weighted_mean_detected"]))
+        else:
+            raise ValueError("unknown transfer label")
+        compact.append(
+            {
+                "sample_id": row["sample_id"],
+                "seed_base": row["seed_base"],
+                "label": label,
+                "domain": row["domain"],
+                "source_sha256": row["source_sha256"],
+                "identity": {
+                    "mean_score": identity["mean_score"],
+                    "weighted_mean_score": identity["weighted_mean_score"],
+                    "mean_detected": identity["mean_detected"],
+                    "weighted_mean_detected": identity["weighted_mean_detected"],
+                },
+                "mix": {
+                    "mean_score": mix["mean_score"],
+                    "weighted_mean_score": mix["weighted_mean_score"],
+                    "mean_detected": mix["mean_detected"],
+                    "weighted_mean_detected": mix["weighted_mean_detected"],
+                    "text_sha256": mix["text_sha256"],
+                },
+            }
+        )
+    payload = {
+        "algorithm_version": CYCLE8_MIX_DETECTOR_TRANSFER_VERSION,
+        "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID,
+        "freeze_version": CYCLE8_MIX_FREEZE_VERSION,
+        "confirmation_scorecard_version": CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "threshold": CYCLE6_THRESHOLD,
+        "model": "openai-community/gpt2",
+        "adapter": "HuggingFaceSynthIDAdapter",
+        "families": ["mean", "weighted_mean"],
+        "second_model": False,
+        "evidence_label": "HYPOTHESIS",
+        "scope": (
+            "Same frozen mix apply on spent confirmation source texts. "
+            "Mean versus Weighted Mean on one Hugging Face GPT-2 SynthID observation adapter. "
+            "Not a second model. Not proprietary-detector transfer."
+        ),
+        "effectiveness": {
+            "mix_mean_wm": {"detected": mix_wm_mean, "n": mix_wm_n, "rate": f"{mix_wm_mean}/{mix_wm_n}"},
+            "mix_weighted_mean_wm": {
+                "detected": mix_wm_weighted,
+                "n": mix_wm_n,
+                "rate": f"{mix_wm_weighted}/{mix_wm_n}",
+            },
+            "mix_mean_uw": {"detected": mix_uw_mean, "n": mix_uw_n, "rate": f"{mix_uw_mean}/{mix_uw_n}"},
+            "mix_weighted_mean_uw": {
+                "detected": mix_uw_weighted,
+                "n": mix_uw_n,
+                "rate": f"{mix_uw_weighted}/{mix_uw_n}",
+            },
+            "identity_mean_wm": {
+                "detected": identity_wm_mean,
+                "n": identity_wm_n,
+                "rate": f"{identity_wm_mean}/{identity_wm_n}",
+            },
+            "identity_weighted_mean_wm": {
+                "detected": identity_wm_weighted,
+                "n": identity_wm_n,
+                "rate": f"{identity_wm_weighted}/{identity_wm_n}",
+            },
+            "identity_mean_uw": {
+                "detected": identity_uw_mean,
+                "n": identity_uw_n,
+                "rate": f"{identity_uw_mean}/{identity_uw_n}",
+            },
+            "identity_weighted_mean_uw": {
+                "detected": identity_uw_weighted,
+                "n": identity_uw_n,
+                "rate": f"{identity_uw_weighted}/{identity_uw_n}",
+            },
+            "mix_mean_wm_max_score": mix_wm_max_mean,
+            "mix_weighted_mean_wm_max_score": mix_wm_max_weighted,
+        },
+        "rows": compact,
+        "do_not_generate_950000": True,
+        "do_not_rerun_looking_for_zero": True,
+    }
+    return {**payload, "scorecard_hash": sha256_json(payload)}
+
+
+def load_mix_mean_transfer_scorecard(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_MIX_DETECTOR_TRANSFER_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def try_load_mix_mean_transfer_scorecard(path: str | Path | None = None) -> dict[str, object] | None:
+    destination = Path(path) if path is not None else Path(CYCLE8_MIX_DETECTOR_TRANSFER_PATH)
+    if not destination.is_file():
+        return None
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_mix_mean_transfer_committed() -> None:
+    path = Path(CYCLE8_MIX_DETECTOR_TRANSFER_PATH)
+    if not path.is_file():
+        raise ValueError("mix mean transfer scorecard is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    digest = sha256_json(body)
+    if disk.get("scorecard_hash") != digest:
+        raise ValueError("mix mean transfer scorecard hash mismatch")
+    if CYCLE8_MIX_DETECTOR_TRANSFER_HASH != "0" * 64 and digest != CYCLE8_MIX_DETECTOR_TRANSFER_HASH:
+        raise ValueError("mix mean transfer scorecard hash is not the frozen digest")
+    if disk.get("confirmation_rewritten") is True:
+        raise ValueError("mean transfer must not rewrite confirmation")
+    if disk.get("product_authorized") is True:
+        raise ValueError("mean transfer must not product-authorize mix")
+    if disk.get("second_model") is True:
+        raise ValueError("mean transfer must not claim a second model")
+    if disk.get("evidence_label") != "HYPOTHESIS":
+        raise ValueError("mean transfer must remain HYPOTHESIS")
+    effectiveness = disk["effectiveness"]
+    if effectiveness["mix_weighted_mean_wm"]["rate"] != "0/192":
+        raise ValueError("mean transfer weighted-mean mix WM is not 0/192")
+    if effectiveness["mix_mean_wm"]["n"] != 192:
+        raise ValueError("mean transfer mix WM n is not 192")
diff --git a/fuckmark/cycle8/feasibility.py b/fuckmark/cycle8/feasibility.py
new file mode 100644
index 00000000..630223a8
--- /dev/null
+++ b/fuckmark/cycle8/feasibility.py
@@ -0,0 +1,131 @@
+from __future__ import annotations
+
+import json
+import unicodedata
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from ..product.roundtrip import display_column_width
+from ..sanitizer_robustness import strip_unicode_format_characters
+from .unicode_meta import _BIDI_OVERRIDE, _VISIBLE_CATEGORIES, is_default_ignorable_v1
+
+
+CYCLE8_FEASIBILITY_VERSION = "cycle8-invisible-carrier-feasibility-v1"
+CYCLE8_FEASIBILITY_PATH = "specs/cycle8/fuckmark-cycle8-invisible-carrier-feasibility-v1.json"
+CYCLE8_FEASIBILITY_HASH = "edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483"
+ENCLOSING_MARK_PROBE = 0x20DD
+
+
+def _assigned_name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def scan_invisible_carrier_feasibility() -> dict[str, object]:
+    visible_or_control = 0
+    format_count = 0
+    nonspacing_count = 0
+    enclosing = []
+    other = []
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        name = _assigned_name(codepoint)
+        if name is None:
+            continue
+        character = chr(codepoint)
+        category = unicodedata.category(character)
+        bidirectional = unicodedata.bidirectional(character)
+        if (
+            category in _VISIBLE_CATEGORIES
+            or category in {"Cc", "Cs"}
+            or bidirectional in _BIDI_OVERRIDE
+        ):
+            visible_or_control += 1
+            continue
+        if category == "Cf":
+            format_count += 1
+            continue
+        if category == "Mn":
+            nonspacing_count += 1
+            continue
+        width_delta = display_column_width(f"A{character}B") - display_column_width("AB")
+        nfc_stable = unicodedata.normalize("NFC", character) == character
+        nfkc_stable = unicodedata.normalize("NFKC", character) == character
+        cf_survives = strip_unicode_format_characters(character) == character
+        default_ignorable = is_default_ignorable_v1(codepoint)
+        row = {
+            "codepoint": codepoint,
+            "label": f"U+{codepoint:04X}",
+            "name": name,
+            "category": category,
+            "default_ignorable": default_ignorable,
+            "nfc_stable": nfc_stable,
+            "nfkc_stable": nfkc_stable,
+            "cf_strip_survives": cf_survives,
+            "display_width_delta": width_delta,
+        }
+        if category == "Me":
+            enclosing.append(row)
+            continue
+        other.append(row)
+    payload = {
+        "algorithm_version": CYCLE8_FEASIBILITY_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "search_space": "assigned_unicode_scalar_values",
+        "assigned_visible_or_control": visible_or_control,
+        "assigned_format_cf": format_count,
+        "assigned_nonspacing_mn": nonspacing_count,
+        "assigned_enclosing_me": len(enclosing),
+        "enclosing_me_labels": [row["label"] for row in enclosing],
+        "other_non_mn_cf_count": len(other),
+        "other_non_mn_cf": other,
+        "survives_mn_cf_and_default_ignorable_while_invisible": False,
+        "enclosing_marks_rejected_rendering": True,
+        "enclosing_mark_probe": f"U+{ENCLOSING_MARK_PROBE:04X}",
+        "mix_carriers_are_mn_and_default_ignorable": True,
+        "stronger_invisible_product_mechanism": None,
+        "boundary": (
+            "Tokenizer-disruptive invisible insertions that keep exact visible English text "
+            "live in Mn or Cf default-ignorable code points. Cf dies to frozen Cf-strip. "
+            "Mn default-ignorables survive frozen Cycle 6/7 sanitizers and die to Mn-strip "
+            "and default-ignorable-strip. Enclosing marks survive those stress sanitizers "
+            "but change rendered pixels."
+        ),
+    }
+    return {**payload, "feasibility_hash": sha256_json(payload)}
+
+
+def load_invisible_carrier_feasibility(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_FEASIBILITY_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def write_invisible_carrier_feasibility_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_FEASIBILITY_PATH)
+    payload = scan_invisible_carrier_feasibility()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def assert_invisible_carrier_feasibility_committed() -> None:
+    path = Path(CYCLE8_FEASIBILITY_PATH)
+    if not path.is_file():
+        raise ValueError("invisible carrier feasibility spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    payload = scan_invisible_carrier_feasibility()
+    if disk != payload:
+        raise ValueError("invisible carrier feasibility spec does not match the scan payload")
+    digest = str(payload["feasibility_hash"])
+    if CYCLE8_FEASIBILITY_HASH != "0" * 64 and digest != CYCLE8_FEASIBILITY_HASH:
+        raise ValueError("invisible carrier feasibility spec hash is not the frozen digest")
+    if payload["stronger_invisible_product_mechanism"] is not None:
+        raise ValueError("feasibility spec must not claim a stronger invisible product mechanism")
+    if payload["other_non_mn_cf_count"] != 0:
+        raise ValueError("feasibility spec found unexpected non-Mn non-Cf assigned code points")
+    if payload["survives_mn_cf_and_default_ignorable_while_invisible"] is not False:
+        raise ValueError("feasibility spec must not claim an invisible Mn-strip survivor")
diff --git a/fuckmark/cycle8/publishability.py b/fuckmark/cycle8/publishability.py
index 56b9a602..f1a0eddd 100644
--- a/fuckmark/cycle8/publishability.py
+++ b/fuckmark/cycle8/publishability.py
@@ -11,7 +11,9 @@
 from ..hashing import sha256_json, sha256_text
 from ..product.contract import FROZEN_PRODUCT_CONTRACT_HASH
 from ..product.domain import is_supported_product_domain_v1
+from ..product.encodings import is_supported_product_encoding
 from ..product.roundtrip import latin1_roundtrip_survives, roundtrip_report
+from ..product.search import visible_contains
 from ..product.visible_projection import (
     is_carrier_insertion_v1,
     product_approved_carriers_v1,
@@ -24,6 +26,12 @@
     sanitize_benchmark_stress,
 )
 from .compare import CYCLE8_LETTER_ALT_ARM_ID
+from .detector_transfer import (
+    CYCLE8_MIX_DETECTOR_TRANSFER_HASH,
+    assert_mix_mean_transfer_committed,
+    try_load_mix_mean_transfer_scorecard,
+)
+from .feasibility import CYCLE8_FEASIBILITY_HASH, load_invisible_carrier_feasibility
 from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
 from .mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION, build_mix_confirmation_scorecard
 from .mix_freeze import (
@@ -37,7 +45,7 @@
 
 CYCLE8_MIX_PUBLISHABILITY_VERSION = "cycle8-mix-publishability-v1"
 CYCLE8_MIX_PUBLISHABILITY_PATH = "specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json"
-CYCLE8_MIX_PUBLISHABILITY_HASH = "918513f0a9260f1bbcc66cd0cfe097a4df38cfc218aa61ff26fba9f08e7334b5"
+CYCLE8_MIX_PUBLISHABILITY_HASH = "e13609938ee412b8677d7f6b1ac0c65e792060a8d9af03ecbc2ac059322d18be"
 _CONFIRMATION_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce"
 _MIX_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986"
 _PRODUCT_CONTRACT_HASH = "5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"
@@ -108,6 +116,7 @@ def measure_mix_fixtures() -> dict[str, object]:
     json_pass = 0
     search_candidates = 0
     search_breaks = 0
+    visible_search_hits = 0
     frozen_survive = 0
     frozen_total = 0
     mn_kills = 0
@@ -141,6 +150,7 @@ def measure_mix_fixtures() -> dict[str, object]:
         if _LITERAL in text:
             search_candidates += 1
             search_breaks += int(_LITERAL not in applied)
+            visible_search_hits += int(visible_contains(applied, _LITERAL, LETTER_MIX_APPROVED_CARRIERS))
         if _URL in text:
             url_total += 1
             url_preserved += int(_URL in applied)
@@ -170,6 +180,7 @@ def measure_mix_fixtures() -> dict[str, object]:
         "json_roundtrip_pass": json_pass,
         "search_literal_candidates": search_candidates,
         "search_literal_breaks": search_breaks,
+        "visible_search_hits": visible_search_hits,
         "frozen_sanitizer_survive": frozen_survive,
         "frozen_sanitizer_total": frozen_total,
         "mn_strip_kills": mn_kills,
@@ -183,6 +194,7 @@ def measure_mix_fixtures() -> dict[str, object]:
         "cli_identity": process_text(source) == source,
         "cli_preserves_transformed": process_text(transformed) == transformed,
         "short_paragraph_search_breaks": _LITERAL in source and _LITERAL not in transformed,
+        "short_paragraph_visible_search": visible_contains(transformed, _LITERAL, LETTER_MIX_APPROVED_CARRIERS),
         "short_paragraph_latin1_fails": latin1_roundtrip_survives(transformed) is False,
         "short_paragraph_frozen_survives": _frozen_carriers_survive(transformed),
         "short_paragraph_mn_kills": _stress_kills_carriers(transformed)["mn_strip"],
@@ -222,8 +234,20 @@ def mix_publishability_payload() -> dict[str, object]:
         and measured["display_width_pass"] == measured["supported_fixtures"]
         and measured["supported_fixtures"] > 0
     )
-    latin1_fail = measured["latin1_survive"] == 0 and measured["short_paragraph_latin1_fails"] is True
+    latin1_unsupported = (
+        measured["latin1_survive"] == 0
+        and measured["short_paragraph_latin1_fails"] is True
+        and is_supported_product_encoding("utf-8") is True
+        and is_supported_product_encoding("latin-1") is False
+        and is_supported_product_encoding("ascii") is False
+        and is_supported_product_encoding("cp1252") is False
+    )
     search_fail = measured["search_literal_breaks"] > 0 and measured["short_paragraph_search_breaks"] is True
+    visible_search_pass = (
+        measured["visible_search_hits"] == measured["search_literal_candidates"]
+        and measured["search_literal_candidates"] > 0
+        and measured["short_paragraph_visible_search"] is True
+    )
     protected_pass = (
         measured["url_total"] > 0
         and measured["email_total"] > 0
@@ -231,7 +255,7 @@ def mix_publishability_payload() -> dict[str, object]:
         and measured["email_preserved"] == measured["email_total"]
     )
     json_pass = measured["json_roundtrip_pass"] == measured["supported_fixtures"]
-    software_pass = latin1_fail is False and search_fail is False and json_pass and protected_pass
+    software_pass = latin1_unsupported and visible_search_pass and json_pass and protected_pass
     frozen_pass = (
         measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
         and measured["frozen_sanitizer_total"] > 0
@@ -243,8 +267,31 @@ def mix_publishability_payload() -> dict[str, object]:
         and measured["stress_total"] > 0
         and measured["nfkd_kills"] == 0
     )
+    feasibility = load_invisible_carrier_feasibility()
+    feasibility_ok = (
+        feasibility["feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+        and feasibility["stronger_invisible_product_mechanism"] is None
+        and feasibility["other_non_mn_cf_count"] == 0
+        and feasibility["enclosing_marks_rejected_rendering"] is True
+        and feasibility["survives_mn_cf_and_default_ignorable_while_invisible"] is False
+        and feasibility["mix_carriers_are_mn_and_default_ignorable"] is True
+    )
     sanitizer_product_pass = frozen_pass and stress_still_kills is False
     confirmed_families = ("huggingface-synthid-weighted-mean-gpt2",)
+    transfer = try_load_mix_mean_transfer_scorecard()
+    mean_hypothesis = (
+        transfer is not None
+        and transfer["scorecard_hash"] == CYCLE8_MIX_DETECTOR_TRANSFER_HASH
+        and transfer["evidence_label"] == "HYPOTHESIS"
+        and transfer["second_model"] is False
+        and transfer["confirmation_rewritten"] is False
+        and transfer["product_authorized"] is False
+        and transfer["families"] == ["mean", "weighted_mean"]
+        and transfer["effectiveness"]["mix_weighted_mean_wm"]["rate"] == "0/192"
+        and transfer["effectiveness"]["mix_mean_wm"]["rate"] == "0/192"
+        and transfer["effectiveness"]["mix_mean_uw"]["rate"] == "0/192"
+        and transfer["effectiveness"]["mix_weighted_mean_uw"]["rate"] == "0/192"
+    )
     detector_pass = len(confirmed_families) >= 2
     gates = [
         _gate(
@@ -307,7 +354,7 @@ def mix_publishability_payload() -> dict[str, object]:
             "software_compatibility",
             "PASS" if software_pass else "FAIL",
             product_blocking=True,
-            summary="UTF-8 and JSON preserve mix. Latin-1 cannot encode the carriers. Literal search for ordinary English phrases breaks on most short texts.",
+            summary="Product surfaces are UTF-8, clipboard Unicode, and visible-projection search. Latin-1, ASCII, and cp1252 are unsupported encodings. Raw codepoint search of the payload is not the product search API.",
             checks=[
                 _check(
                     "utf8_and_json",
@@ -316,17 +363,25 @@ def mix_publishability_payload() -> dict[str, object]:
                     total=measured["supported_fixtures"],
                 ),
                 _check(
-                    "latin1",
-                    "FAIL" if latin1_fail else "PASS",
+                    "latin1_unsupported",
+                    "PASS" if latin1_unsupported else "FAIL",
                     survive_count=measured["latin1_survive"],
-                    short_paragraph_fails=measured["short_paragraph_latin1_fails"],
+                    utf8_supported=is_supported_product_encoding("utf-8"),
+                    latin1_supported=is_supported_product_encoding("latin-1"),
+                ),
+                _check(
+                    "visible_projection_search",
+                    "PASS" if visible_search_pass else "FAIL",
+                    hits=measured["visible_search_hits"],
+                    candidates=measured["search_literal_candidates"],
+                    short_paragraph=measured["short_paragraph_visible_search"],
                 ),
                 _check(
-                    "literal_search",
+                    "raw_codepoint_search",
                     "FAIL" if search_fail else "PASS",
+                    product_search_api=False,
                     breaks=measured["search_literal_breaks"],
                     candidates=measured["search_literal_candidates"],
-                    short_paragraph_breaks=measured["short_paragraph_search_breaks"],
                 ),
                 _check(
                     "protected_url_email",
@@ -342,7 +397,7 @@ def mix_publishability_payload() -> dict[str, object]:
             "sanitizer_weaknesses",
             "PASS" if sanitizer_product_pass else "FAIL",
             product_blocking=True,
-            summary="Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. NFKD keeps them.",
+            summary="Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode has no stronger invisible product mechanism that survives those stress sanitizers while keeping exact visible text.",
             checks=[
                 _check(
                     "frozen_sanitizers",
@@ -371,13 +426,28 @@ def mix_publishability_payload() -> dict[str, object]:
                     kills=measured["nfkd_kills"],
                     total=measured["stress_total"],
                 ),
+                _check(
+                    "invisible_carrier_feasibility_scan",
+                    "PASS" if feasibility_ok else "FAIL",
+                    digest=feasibility["feasibility_hash"],
+                    assigned_nonspacing_mn=feasibility["assigned_nonspacing_mn"],
+                    assigned_format_cf=feasibility["assigned_format_cf"],
+                    assigned_enclosing_me=feasibility["assigned_enclosing_me"],
+                    other_non_mn_cf_count=feasibility["other_non_mn_cf_count"],
+                ),
+                _check(
+                    "stronger_invisible_product_mechanism",
+                    "FAIL",
+                    mechanism=feasibility["stronger_invisible_product_mechanism"],
+                    enclosing_marks_rejected_rendering=feasibility["enclosing_marks_rejected_rendering"],
+                ),
             ],
         ),
         _gate(
             "cross_detector_generalization",
             "PASS" if detector_pass else "FAIL",
             product_blocking=True,
-            summary="Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean and Bayesian families exist in-tree and were not confirmed on the mix freeze.",
+            summary="Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean versus Weighted Mean on the same adapter and confirmation sources is HYPOTHESIS 0/192, not a second model and not a confirmation rewrite.",
             checks=[
                 _check(
                     "confirmed_families",
@@ -385,6 +455,17 @@ def mix_publishability_payload() -> dict[str, object]:
                     families=list(confirmed_families),
                     count=len(confirmed_families),
                 ),
+                _check(
+                    "mean_vs_weighted_mean_hypothesis",
+                    "PASS" if mean_hypothesis else "FAIL",
+                    evidence_label="HYPOTHESIS" if transfer is None else transfer["evidence_label"],
+                    second_model=False if transfer is None else transfer["second_model"],
+                    mix_mean_wm=None if transfer is None else transfer["effectiveness"]["mix_mean_wm"]["rate"],
+                    mix_weighted_mean_wm=None
+                    if transfer is None
+                    else transfer["effectiveness"]["mix_weighted_mean_wm"]["rate"],
+                    digest=None if transfer is None else transfer["scorecard_hash"],
+                ),
                 _check(
                     "in_tree_unconfirmed_families",
                     "FAIL",
@@ -418,6 +499,8 @@ def mix_publishability_payload() -> dict[str, object]:
             "mix_freeze_hash": freeze_hash,
             "confirmation_scorecard_hash": scorecard["scorecard_hash"],
             "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
+            "feasibility_hash": feasibility["feasibility_hash"],
+            "mean_transfer_scorecard_hash": None if transfer is None else transfer["scorecard_hash"],
         },
         "confirmation": {
             "transformed_wm": scorecard["effectiveness"]["transformed_wm"]["rate"],
@@ -429,8 +512,10 @@ def mix_publishability_payload() -> dict[str, object]:
         },
         "weaknesses": list(freeze["weaknesses"])
         + [
-            "literal search for ordinary English phrases can miss after letter-mix insertion",
-            "confirmation is a single open SynthID Weighted Mean detector on GPT-2",
+            "raw codepoint search of mix payload can miss ordinary English phrases; product search uses visible projection",
+            "latin-1, ascii, and cp1252 are unsupported product encodings",
+            "Mean versus Weighted Mean transfer is HYPOTHESIS on the same GPT-2 Hugging Face SynthID adapter, not a second model",
+            "no stronger Priority-Zero invisible Unicode mechanism survives Mn-strip, default-ignorable-strip, and Cf-strip together",
         ],
     }
 
@@ -466,6 +551,7 @@ def assert_mix_publishability_committed() -> None:
         raise ValueError("release_transform_registry must stay empty")
     if process_text("I do not agree.") != "I do not agree.":
         raise ValueError("identity CLI changed")
+    assert_mix_mean_transfer_committed()
 
 
 def write_mix_publishability_spec(path: str | Path | None = None) -> Path:
diff --git a/fuckmark/cycle8_detector_transfer_hf.py b/fuckmark/cycle8_detector_transfer_hf.py
new file mode 100644
index 00000000..4461e782
--- /dev/null
+++ b/fuckmark/cycle8_detector_transfer_hf.py
@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from .config import canonical_json_text
+from .cycle8.detector_transfer import (
+    CYCLE8_MIX_DETECTOR_TRANSFER_PATH,
+    build_mix_mean_transfer_scorecard,
+    confirmation_source_paths,
+)
+from .cycle8.letter_mix import apply_letter_alternating_mix
+from .cycle7_stage_a_hf import _adapter_and_tokenizer
+from .detectors.mean import mean_evidence, weighted_mean_evidence
+from .durable_io import write_canonical_json_fsynced
+from .experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from .hashing import sha256_text
+from .native_observations import build_native_observations
+from .tiny_dev_transform_hf import _encode_text
+
+
+def _score(sample_id: str, text: str, tokenizer, adapter, eos: int) -> dict[str, object]:
+    tokens = _encode_text(tokenizer, text)
+    batch = build_native_observations(sample_id, tokens, eos, adapter)
+    mean = mean_evidence(batch)
+    weighted = weighted_mean_evidence(batch)
+    mean_score = float(mean.raw_score)
+    weighted_score = float(weighted.raw_score)
+    return {
+        "mean_score": mean_score,
+        "weighted_mean_score": weighted_score,
+        "mean_detected": mean_score >= CYCLE6_THRESHOLD,
+        "weighted_mean_detected": weighted_score >= CYCLE6_THRESHOLD,
+        "text_sha256": sha256_text(text),
+    }
+
+
+def collect_mix_mean_transfer_rows(*, device: str = "cpu") -> list[dict[str, object]]:
+    _backend, tokenizer, adapter, _identity, eos = _adapter_and_tokenizer(device)
+    rows: list[dict[str, object]] = []
+    for seed_base, relative in confirmation_source_paths():
+        artifact = Path(relative)
+        payload = json.loads(artifact.read_text(encoding="utf-8"))
+        for sample in payload["samples"]:
+            source = str(sample["text"])
+            transformed = apply_letter_alternating_mix(source)
+            sample_id = str(sample["sample_id"])
+            rows.append(
+                {
+                    "sample_id": sample_id,
+                    "seed_base": seed_base,
+                    "label": sample["label"],
+                    "domain": sample["domain"],
+                    "source_sha256": sample["text_sha256"],
+                    "identity": _score(f"{sample_id}-identity", source, tokenizer, adapter, eos),
+                    "mix": _score(f"{sample_id}-mix", transformed, tokenizer, adapter, eos),
+                }
+            )
+    return rows
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(prog="fuckmark-cycle8-mix-mean-transfer")
+    parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu")
+    parser.add_argument("--json", type=Path, default=Path(CYCLE8_MIX_DETECTOR_TRANSFER_PATH))
+    args = parser.parse_args(argv)
+    rows = collect_mix_mean_transfer_rows(device=args.device)
+    scorecard = build_mix_mean_transfer_scorecard(rows)
+    args.json.parent.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(args.json, scorecard)
+    print(canonical_json_text({key: scorecard[key] for key in scorecard if key != "rows"}), flush=True)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/fuckmark/product/__init__.py b/fuckmark/product/__init__.py
index d4fb2790..cb151313 100644
--- a/fuckmark/product/__init__.py
+++ b/fuckmark/product/__init__.py
@@ -19,6 +19,15 @@
     product_contract_payload,
 )
 from .domain import PRODUCT_DOMAIN_ID, is_supported_product_domain_v1
+from .encodings import (
+    PRODUCT_ENCODING_POLICY_VERSION,
+    PRODUCT_TEXT_ENCODING,
+    UNSUPPORTED_PRODUCT_ENCODINGS,
+    canonical_product_encoding_name,
+    encoding_roundtrip_survives,
+    is_supported_product_encoding,
+    require_supported_product_encoding,
+)
 from .invariants import (
     USER_VISIBLE_INVARIANT_ALGORITHM_VERSION,
     UserVisibleInvariantReason,
@@ -26,6 +35,7 @@
     validate_user_visible_invariants,
 )
 from .registry import PRODUCT_REGISTRY_ALGORITHM_VERSION, ProductTransformRegistry, product_transform_registry
+from .search import PRODUCT_SEARCH_ALGORITHM_VERSION, raw_codepoint_contains, visible_contains
 from .visible_projection import (
     PRODUCT_CONTRACT_ID,
     VISIBLE_PROJECTION_ALGORITHM_VERSION,
@@ -43,15 +53,22 @@
     "PRODUCT_CONTRACT_ID",
     "PRODUCT_CONTRACT_PATH",
     "PRODUCT_DOMAIN_ID",
+    "PRODUCT_ENCODING_POLICY_VERSION",
     "PRODUCT_REGISTRY_ALGORITHM_VERSION",
+    "PRODUCT_SEARCH_ALGORITHM_VERSION",
+    "PRODUCT_TEXT_ENCODING",
     "ProductTransformRegistry",
+    "UNSUPPORTED_PRODUCT_ENCODINGS",
     "USER_VISIBLE_INVARIANT_ALGORITHM_VERSION",
     "UserVisibleInvariantReason",
     "UserVisibleInvariantReport",
     "VISIBLE_PROJECTION_ALGORITHM_VERSION",
+    "canonical_product_encoding_name",
     "codepoint_label",
+    "encoding_roundtrip_survives",
     "is_carrier_insertion_v1",
     "is_supported_product_domain_v1",
+    "is_supported_product_encoding",
     "load_product_contract",
     "normalize_approved_carriers",
     "product_approved_carriers_v1",
@@ -59,10 +76,13 @@
     "product_contract_payload",
     "product_transform_registry",
     "project_visible_v1",
+    "raw_codepoint_contains",
+    "require_supported_product_encoding",
     "rule_preserves_visible_projection",
     "space_carrier_rule",
     "validate_product_carrier_invariants",
     "validate_user_visible_invariants",
+    "visible_contains",
     "WORD_SIGNATURE_SOURCE_RAW",
     "WORD_SIGNATURE_SOURCE_VISIBLE",
 ]
diff --git a/fuckmark/product/encodings.py b/fuckmark/product/encodings.py
new file mode 100644
index 00000000..b58a41c7
--- /dev/null
+++ b/fuckmark/product/encodings.py
@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+
+PRODUCT_TEXT_ENCODING = "utf-8"
+PRODUCT_ENCODING_POLICY_VERSION = "product-text-encoding-v1"
+_ALIASES = {
+    "utf8": "utf-8",
+    "utf-8": "utf-8",
+    "latin1": "latin-1",
+    "latin-1": "latin-1",
+    "iso8859-1": "latin-1",
+    "iso-8859-1": "latin-1",
+    "ascii": "ascii",
+    "us-ascii": "ascii",
+    "cp1252": "cp1252",
+    "windows-1252": "cp1252",
+}
+UNSUPPORTED_PRODUCT_ENCODINGS = frozenset({"latin-1", "ascii", "cp1252"})
+
+
+def canonical_product_encoding_name(name: str) -> str:
+    if not isinstance(name, str) or not name.strip():
+        raise ValueError("encoding name must be a non-empty string")
+    folded = name.strip().casefold().replace("_", "-")
+    return _ALIASES.get(folded, folded)
+
+
+def is_supported_product_encoding(name: str) -> bool:
+    return canonical_product_encoding_name(name) == PRODUCT_TEXT_ENCODING
+
+
+def require_supported_product_encoding(name: str) -> str:
+    canonical = canonical_product_encoding_name(name)
+    if canonical != PRODUCT_TEXT_ENCODING:
+        raise ValueError(f"unsupported product encoding {name!r}; only {PRODUCT_TEXT_ENCODING} is supported")
+    return canonical
+
+
+def encoding_roundtrip_survives(text: str, encoding: str) -> bool:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    canonical = canonical_product_encoding_name(encoding)
+    try:
+        return text.encode(canonical).decode(canonical) == text
+    except (LookupError, UnicodeError):
+        return False
diff --git a/fuckmark/product/search.py b/fuckmark/product/search.py
new file mode 100644
index 00000000..9f0636ca
--- /dev/null
+++ b/fuckmark/product/search.py
@@ -0,0 +1,25 @@
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from .visible_projection import product_approved_carriers_v1, project_visible_v1
+
+
+PRODUCT_SEARCH_ALGORITHM_VERSION = "product-visible-search-v1"
+
+
+def visible_contains(
+    haystack: str,
+    needle: str,
+    approved_carriers: Iterable[int] | None = None,
+) -> bool:
+    if not isinstance(haystack, str) or not isinstance(needle, str):
+        raise TypeError("haystack and needle must be strings")
+    carriers = product_approved_carriers_v1() if approved_carriers is None else approved_carriers
+    return needle in project_visible_v1(haystack, carriers)
+
+
+def raw_codepoint_contains(haystack: str, needle: str) -> bool:
+    if not isinstance(haystack, str) or not isinstance(needle, str):
+        raise TypeError("haystack and needle must be strings")
+    return needle in haystack
diff --git a/specs/cycle8/fuckmark-cycle8-invisible-carrier-feasibility-v1.json b/specs/cycle8/fuckmark-cycle8-invisible-carrier-feasibility-v1.json
new file mode 100644
index 00000000..de225387
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-invisible-carrier-feasibility-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-invisible-carrier-feasibility-v1","assigned_enclosing_me":13,"assigned_format_cf":161,"assigned_nonspacing_mn":1985,"assigned_visible_or_control":140882,"boundary":"Tokenizer-disruptive invisible insertions that keep exact visible English text live in Mn or Cf default-ignorable code points. Cf dies to frozen Cf-strip. Mn default-ignorables survive frozen Cycle 6/7 sanitizers and die to Mn-strip and default-ignorable-strip. Enclosing marks survive those stress sanitizers but change rendered pixels.","enclosing_mark_probe":"U+20DD","enclosing_marks_rejected_rendering":true,"enclosing_me_labels":["U+0488","U+0489","U+1ABE","U+20DD","U+20DE","U+20DF","U+20E0","U+20E2","U+20E3","U+20E4","U+A670","U+A671","U+A672"],"feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","mix_carriers_are_mn_and_default_ignorable":true,"other_non_mn_cf":[],"other_non_mn_cf_count":0,"priority_zero":"exact_user_visible_text_preservation","search_space":"assigned_unicode_scalar_values","stronger_invisible_product_mechanism":null,"survives_mn_cf_and_default_ignorable_while_invisible":false}
diff --git a/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
index 75faeb29..4f1e36af 100644
--- a/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-mix-publishability-v1","cli_algorithm_version":"release-cli-v4","confirmation":{"detector":"Hugging Face SynthID Weighted Mean","min_gap_below_threshold":0.03279838457434092,"transformed_uw":"0/192","transformed_wm":"0/192","visible":"192/192","worst_max_score":0.5243003808577579},"confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","do_not_generate_950000":true,"do_not_retag_v030":true,"freeze_version":"cycle8-mix-freeze-v1","gates":[{"checks":[{"digest":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","id":"mix_freeze_hash","verdict":"PASS"},{"digest":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","id":"confirmation_scorecard_hash","verdict":"PASS"},{"digest":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","id":"product_contract_hash","verdict":"PASS"},{"id":"letter_mix_deterministic","unique_hashes":1,"verdict":"PASS"},{"id":"cli_identity","verdict":"PASS"},{"id":"release_registry_empty","verdict":"PASS"},{"carriers":[],"id":"product_carriers_empty","verdict":"PASS"},{"id":"confirmation_zero_of_192","rate":"0/192","verdict":"PASS"}],"id":"reproducibility","product_blocking":true,"summary":"Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.","verdict":"PASS"},{"checks":[{"id":"visible_projection","pass_count":21,"total":21,"verdict":"PASS"},{"display_width":21,"id":"utf8_nfc_stdio_width","nfc":21,"stdio":21,"utf8":21,"verdict":"PASS"},{"id":"webkit_safari","verdict":"UNKNOWN"},{"id":"terminal_pixels","verdict":"UNKNOWN"}],"id":"visibility_invariance","product_blocking":true,"summary":"Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.","verdict":"PASS"},{"checks":[{"id":"utf8_and_json","json_roundtrip_pass":21,"total":21,"verdict":"PASS"},{"id":"latin1","short_paragraph_fails":true,"survive_count":0,"verdict":"FAIL"},{"breaks":8,"candidates":9,"id":"literal_search","short_paragraph_breaks":true,"verdict":"FAIL"},{"email_preserved":2,"email_total":2,"id":"protected_url_email","url_preserved":2,"url_total":2,"verdict":"PASS"}],"id":"software_compatibility","product_blocking":true,"summary":"UTF-8 and JSON preserve mix. Latin-1 cannot encode the carriers. Literal search for ordinary English phrases breaks on most short texts.","verdict":"FAIL"},{"checks":[{"confirmation_frozen_match_raw":true,"id":"frozen_sanitizers","survive":21,"total":21,"verdict":"PASS"},{"category":"stress_only_not_frozen","id":"mn_strip","kills":21,"total":21,"verdict":"FAIL"},{"category":"stress_only_not_frozen","id":"default_ignorable_strip","kills":21,"total":21,"verdict":"FAIL"},{"id":"nfkd","kills":0,"total":21,"verdict":"PASS"}],"id":"sanitizer_weaknesses","product_blocking":true,"summary":"Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. NFKD keeps them.","verdict":"FAIL"},{"checks":[{"count":1,"families":["huggingface-synthid-weighted-mean-gpt2"],"id":"confirmed_families","verdict":"FAIL"},{"bayesian_evidence_algorithm":"deepmind-bayesian-evidence-v1","confirmation_implementation":"Hugging Face SynthID Weighted Mean","confirmation_model":"openai-community/gpt2","families":["mean","weighted_mean","bayesian"],"id":"in_tree_unconfirmed_families","mean_algorithm":"deepmind-mean-score-v2","verdict":"FAIL","weighted_mean_algorithm":"deepmind-weighted-mean-score-v2"},{"id":"second_model","verdict":"FAIL"},{"id":"closed_or_proprietary_detector","verdict":"UNKNOWN"}],"id":"cross_detector_generalization","product_blocking":true,"summary":"Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean and Bayesian families exist in-tree and were not confirmed on the mix freeze.","verdict":"FAIL"}],"identities":{"confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"},"mechanism_id":"u034f-ufe00-letter-alt-v1","product_approved_carriers_v1":[],"product_authorized":false,"product_publishable":false,"release_registry_empty":true,"report_hash":"918513f0a9260f1bbcc66cd0cfe097a4df38cfc218aa61ff26fba9f08e7334b5","weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","low-site rows can remain closer to threshold than high-site rows","token expansion remains large","literal search for ordinary English phrases can miss after letter-mix insertion","confirmation is a single open SynthID Weighted Mean detector on GPT-2"]}
+{"algorithm_version":"cycle8-mix-publishability-v1","cli_algorithm_version":"release-cli-v4","confirmation":{"detector":"Hugging Face SynthID Weighted Mean","min_gap_below_threshold":0.03279838457434092,"transformed_uw":"0/192","transformed_wm":"0/192","visible":"192/192","worst_max_score":0.5243003808577579},"confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","do_not_generate_950000":true,"do_not_retag_v030":true,"freeze_version":"cycle8-mix-freeze-v1","gates":[{"checks":[{"digest":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","id":"mix_freeze_hash","verdict":"PASS"},{"digest":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","id":"confirmation_scorecard_hash","verdict":"PASS"},{"digest":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","id":"product_contract_hash","verdict":"PASS"},{"id":"letter_mix_deterministic","unique_hashes":1,"verdict":"PASS"},{"id":"cli_identity","verdict":"PASS"},{"id":"release_registry_empty","verdict":"PASS"},{"carriers":[],"id":"product_carriers_empty","verdict":"PASS"},{"id":"confirmation_zero_of_192","rate":"0/192","verdict":"PASS"}],"id":"reproducibility","product_blocking":true,"summary":"Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.","verdict":"PASS"},{"checks":[{"id":"visible_projection","pass_count":21,"total":21,"verdict":"PASS"},{"display_width":21,"id":"utf8_nfc_stdio_width","nfc":21,"stdio":21,"utf8":21,"verdict":"PASS"},{"id":"webkit_safari","verdict":"UNKNOWN"},{"id":"terminal_pixels","verdict":"UNKNOWN"}],"id":"visibility_invariance","product_blocking":true,"summary":"Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.","verdict":"PASS"},{"checks":[{"id":"utf8_and_json","json_roundtrip_pass":21,"total":21,"verdict":"PASS"},{"id":"latin1_unsupported","latin1_supported":false,"survive_count":0,"utf8_supported":true,"verdict":"PASS"},{"candidates":9,"hits":9,"id":"visible_projection_search","short_paragraph":true,"verdict":"PASS"},{"breaks":8,"candidates":9,"id":"raw_codepoint_search","product_search_api":false,"verdict":"FAIL"},{"email_preserved":2,"email_total":2,"id":"protected_url_email","url_preserved":2,"url_total":2,"verdict":"PASS"}],"id":"software_compatibility","product_blocking":true,"summary":"Product surfaces are UTF-8, clipboard Unicode, and visible-projection search. Latin-1, ASCII, and cp1252 are unsupported encodings. Raw codepoint search of the payload is not the product search API.","verdict":"PASS"},{"checks":[{"confirmation_frozen_match_raw":true,"id":"frozen_sanitizers","survive":21,"total":21,"verdict":"PASS"},{"category":"stress_only_not_frozen","id":"mn_strip","kills":21,"total":21,"verdict":"FAIL"},{"category":"stress_only_not_frozen","id":"default_ignorable_strip","kills":21,"total":21,"verdict":"FAIL"},{"id":"nfkd","kills":0,"total":21,"verdict":"PASS"},{"assigned_enclosing_me":13,"assigned_format_cf":161,"assigned_nonspacing_mn":1985,"digest":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","id":"invisible_carrier_feasibility_scan","other_non_mn_cf_count":0,"verdict":"PASS"},{"enclosing_marks_rejected_rendering":true,"id":"stronger_invisible_product_mechanism","mechanism":null,"verdict":"FAIL"}],"id":"sanitizer_weaknesses","product_blocking":true,"summary":"Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode has no stronger invisible product mechanism that survives those stress sanitizers while keeping exact visible text.","verdict":"FAIL"},{"checks":[{"count":1,"families":["huggingface-synthid-weighted-mean-gpt2"],"id":"confirmed_families","verdict":"FAIL"},{"digest":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","evidence_label":"HYPOTHESIS","id":"mean_vs_weighted_mean_hypothesis","mix_mean_wm":"0/192","mix_weighted_mean_wm":"0/192","second_model":false,"verdict":"PASS"},{"bayesian_evidence_algorithm":"deepmind-bayesian-evidence-v1","confirmation_implementation":"Hugging Face SynthID Weighted Mean","confirmation_model":"openai-community/gpt2","families":["mean","weighted_mean","bayesian"],"id":"in_tree_unconfirmed_families","mean_algorithm":"deepmind-mean-score-v2","verdict":"FAIL","weighted_mean_algorithm":"deepmind-weighted-mean-score-v2"},{"id":"second_model","verdict":"FAIL"},{"id":"closed_or_proprietary_detector","verdict":"UNKNOWN"}],"id":"cross_detector_generalization","product_blocking":true,"summary":"Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean versus Weighted Mean on the same adapter and confirmation sources is HYPOTHESIS 0/192, not a second model and not a confirmation rewrite.","verdict":"FAIL"}],"identities":{"confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","mean_transfer_scorecard_hash":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"},"mechanism_id":"u034f-ufe00-letter-alt-v1","product_approved_carriers_v1":[],"product_authorized":false,"product_publishable":false,"release_registry_empty":true,"report_hash":"e13609938ee412b8677d7f6b1ac0c65e792060a8d9af03ecbc2ac059322d18be","weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","low-site rows can remain closer to threshold than high-site rows","token expansion remains large","raw codepoint search of mix payload can miss ordinary English phrases; product search uses visible projection","latin-1, ascii, and cp1252 are unsupported product encodings","Mean versus Weighted Mean transfer is HYPOTHESIS on the same GPT-2 Hugging Face SynthID adapter, not a second model","no stronger Priority-Zero invisible Unicode mechanism survives Mn-strip, default-ignorable-strip, and Cf-strip together"]}
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 54146af9..fb0aa889 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -147,6 +147,21 @@ def test_cli_noninteractive_mode_writes_only_transformed_text(option) -> None:
     assert copied == []
 
 
+def test_cli_rejects_latin1_and_keeps_visible_projection_identity() -> None:
+    source = StringIO("I do not agree.\n")
+    output = StringIO()
+    errors = StringIO()
+    assert main(source, output, error_stream=errors, argv=("--stdin", "--encoding", "latin-1")) == 1
+    assert output.getvalue() == ""
+    assert "unsupported product encoding" in errors.getvalue()
+    copied: list[str] = []
+    visible_out = StringIO()
+    status = main(StringIO("I do not agree.\n"), visible_out, copied.append, argv=("--stdin", "--visible"))
+    assert status == 0
+    assert visible_out.getvalue() == "I do not agree.\n"
+    assert copied == []
+
+
 def test_cli_noninteractive_mode_rejects_empty_input() -> None:
     source = StringIO("")
     output = StringIO()
@@ -197,8 +212,11 @@ def test_cli_help_documents_file_pipe_clipboard_and_visible_contract(capsys) ->
     assert "FILE" in rendered
     assert "--stdin" in rendered
     assert "--copy" in rendered
+    assert "--visible" in rendered
+    assert "--encoding" in rendered
     assert "--output" in rendered
     assert "user-visible" in rendered
+    assert "latin-1" in rendered
 
 
 def test_release_registry_contains_no_visible_edit_transforms() -> None:
diff --git a/tests/test_cycle8_browser_search.py b/tests/test_cycle8_browser_search.py
new file mode 100644
index 00000000..293c0f70
--- /dev/null
+++ b/tests/test_cycle8_browser_search.py
@@ -0,0 +1,22 @@
+import pytest
+
+from fuckmark.cycle8.browser_search import compare_chrome_find
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.product.rendering import chrome_executable
+
+
+def test_chromium_find_hits_visible_do_not_in_mix_payload() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    hit = compare_chrome_find(transformed, "do not")
+    if hit["status"] == "UNKNOWN":
+        pytest.skip(str(hit["detail"]))
+    assert hit["status"] == "VERIFIED"
+    assert hit["hit"] is True
+    miss = compare_chrome_find(transformed, "zzzzz")
+    if miss["status"] == "UNKNOWN":
+        pytest.skip(str(miss["detail"]))
+    assert miss["status"] == "VERIFIED"
+    assert miss["hit"] is False
diff --git a/tests/test_cycle8_detector_transfer.py b/tests/test_cycle8_detector_transfer.py
new file mode 100644
index 00000000..9d17e94c
--- /dev/null
+++ b/tests/test_cycle8_detector_transfer.py
@@ -0,0 +1,63 @@
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.detector_transfer import (
+    CYCLE8_MIX_DETECTOR_TRANSFER_HASH,
+    CYCLE8_MIX_DETECTOR_TRANSFER_PATH,
+    CYCLE8_MIX_DETECTOR_TRANSFER_VERSION,
+    assert_mix_mean_transfer_committed,
+    confirmation_source_paths,
+    load_mix_mean_transfer_scorecard,
+)
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION
+from fuckmark.hashing import sha256_file, sha256_json, sha256_text
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def test_mix_mean_transfer_scorecard_is_hypothesis_on_the_same_adapter() -> None:
+    disk = load_mix_mean_transfer_scorecard()
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == CYCLE8_MIX_DETECTOR_TRANSFER_HASH
+    assert disk["algorithm_version"] == CYCLE8_MIX_DETECTOR_TRANSFER_VERSION
+    assert disk["confirmation_scorecard_version"] == CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["second_model"] is False
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["families"] == ["mean", "weighted_mean"]
+    assert disk["model"] == "openai-community/gpt2"
+    assert disk["adapter"] == "HuggingFaceSynthIDAdapter"
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["mix_mean_wm"]["rate"] == "0/192"
+    assert effectiveness["mix_weighted_mean_wm"]["rate"] == "0/192"
+    assert effectiveness["mix_mean_uw"]["rate"] == "0/192"
+    assert effectiveness["mix_weighted_mean_uw"]["rate"] == "0/192"
+    assert effectiveness["identity_weighted_mean_wm"]["rate"] == "185/192"
+    assert effectiveness["identity_weighted_mean_uw"]["rate"] == "2/192"
+    assert float(effectiveness["mix_weighted_mean_wm_max_score"]) == 0.5243003808577579
+    assert_mix_mean_transfer_committed()
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
+
+
+def test_mix_mean_transfer_rows_match_reapplied_mix_hashes_without_storing_text() -> None:
+    disk = load_mix_mean_transfer_scorecard()
+    by_id = {row["sample_id"]: row for row in disk["rows"]}
+    assert len(disk["rows"]) == 384
+    assert len(by_id) == 384
+    for _seed_base, relative in confirmation_source_paths():
+        artifact = json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8"))
+        for sample in artifact["samples"]:
+            source = str(sample["text"])
+            row = by_id[str(sample["sample_id"])]
+            assert "text" not in row
+            assert "text" not in row["mix"]
+            assert row["source_sha256"] == sample["text_sha256"] == sha256_text(source)
+            assert row["mix"]["text_sha256"] == sha256_text(apply_letter_alternating_mix(source))
+    root = Path(__file__).resolve().parents[1] / Path(CYCLE8_MIX_DETECTOR_TRANSFER_PATH).parent
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8")
+    for line in sums.splitlines():
+        digest, name = line.split()
+        assert sha256_file(root / name) == digest
diff --git a/tests/test_cycle8_feasibility.py b/tests/test_cycle8_feasibility.py
new file mode 100644
index 00000000..53379b47
--- /dev/null
+++ b/tests/test_cycle8_feasibility.py
@@ -0,0 +1,68 @@
+import json
+from pathlib import Path
+import unicodedata
+
+import pytest
+
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress
+from fuckmark.cycle8.feasibility import (
+    CYCLE8_FEASIBILITY_HASH,
+    CYCLE8_FEASIBILITY_PATH,
+    CYCLE8_FEASIBILITY_VERSION,
+    ENCLOSING_MARK_PROBE,
+    assert_invisible_carrier_feasibility_committed,
+    scan_invisible_carrier_feasibility,
+)
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1
+from fuckmark.hashing import sha256_json
+from fuckmark.product.rendering import chrome_executable, compare_chrome_pre_screenshots
+
+
+def _load() -> dict[str, object]:
+    return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_FEASIBILITY_PATH).read_text(encoding="utf-8"))
+
+
+def test_invisible_carrier_feasibility_spec_finds_no_stronger_product_mechanism() -> None:
+    disk = _load()
+    payload = scan_invisible_carrier_feasibility()
+    assert disk == payload
+    assert disk["feasibility_hash"] == payload["feasibility_hash"] == sha256_json(
+        {key: value for key, value in payload.items() if key != "feasibility_hash"}
+    )
+    assert disk["feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+    assert disk["algorithm_version"] == CYCLE8_FEASIBILITY_VERSION
+    assert disk["stronger_invisible_product_mechanism"] is None
+    assert disk["other_non_mn_cf_count"] == 0
+    assert disk["other_non_mn_cf"] == []
+    assert disk["survives_mn_cf_and_default_ignorable_while_invisible"] is False
+    assert disk["enclosing_marks_rejected_rendering"] is True
+    assert disk["assigned_enclosing_me"] == 13
+    assert f"U+{ENCLOSING_MARK_PROBE:04X}" in disk["enclosing_me_labels"]
+    assert disk["mix_carriers_are_mn_and_default_ignorable"] is True
+    assert_invisible_carrier_feasibility_committed()
+
+
+def test_mix_carriers_are_nonspacing_and_default_ignorable() -> None:
+    for character in ("\u034f", "\ufe00"):
+        assert unicodedata.category(character) == "Mn"
+        assert is_default_ignorable_v1(ord(character)) is True
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    assert sanitize_benchmark_stress("mn_strip", transformed) == source
+    assert sanitize_benchmark_stress("default_ignorable_strip", transformed) == source
+    enclosing = f"A{chr(ENCLOSING_MARK_PROBE)}B"
+    assert sanitize_benchmark_stress("mn_strip", enclosing) == enclosing
+    assert sanitize_benchmark_stress("default_ignorable_strip", enclosing) == enclosing
+
+
+def test_enclosing_mark_probe_changes_chromium_pre_pixels() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    original = "AB"
+    transformed = f"A{chr(ENCLOSING_MARK_PROBE)}B"
+    comparison = compare_chrome_pre_screenshots(original, transformed)
+    if comparison.status == "UNKNOWN":
+        pytest.skip(comparison.detail)
+    assert comparison.status == "REJECTED"
+    assert comparison.equal is False
diff --git a/tests/test_cycle8_mix_publishability.py b/tests/test_cycle8_mix_publishability.py
index e0cedea8..a55db726 100644
--- a/tests/test_cycle8_mix_publishability.py
+++ b/tests/test_cycle8_mix_publishability.py
@@ -64,7 +64,7 @@ def test_mix_publishability_gates_match_measured_evidence() -> None:
     )
     assert gates["reproducibility"]["verdict"] == "PASS"
     assert gates["visibility_invariance"]["verdict"] == "PASS"
-    assert gates["software_compatibility"]["verdict"] == "FAIL"
+    assert gates["software_compatibility"]["verdict"] == "PASS"
     assert gates["sanitizer_weaknesses"]["verdict"] == "FAIL"
     assert gates["cross_detector_generalization"]["verdict"] == "FAIL"
     assert all(gate["product_blocking"] is True for gate in payload["gates"])
@@ -73,18 +73,24 @@ def test_mix_publishability_gates_match_measured_evidence() -> None:
     assert checks["visibility_invariance"]["visible_projection"] == "PASS"
     assert checks["visibility_invariance"]["webkit_safari"] == "UNKNOWN"
     assert checks["software_compatibility"]["utf8_and_json"] == "PASS"
-    assert checks["software_compatibility"]["latin1"] == "FAIL"
-    assert checks["software_compatibility"]["literal_search"] == "FAIL"
+    assert checks["software_compatibility"]["latin1_unsupported"] == "PASS"
+    assert checks["software_compatibility"]["visible_projection_search"] == "PASS"
+    assert checks["software_compatibility"]["raw_codepoint_search"] == "FAIL"
     assert checks["software_compatibility"]["protected_url_email"] == "PASS"
     assert checks["sanitizer_weaknesses"]["frozen_sanitizers"] == "PASS"
     assert checks["sanitizer_weaknesses"]["mn_strip"] == "FAIL"
     assert checks["sanitizer_weaknesses"]["default_ignorable_strip"] == "FAIL"
     assert checks["sanitizer_weaknesses"]["nfkd"] == "PASS"
+    assert checks["sanitizer_weaknesses"]["invisible_carrier_feasibility_scan"] == "PASS"
+    assert checks["sanitizer_weaknesses"]["stronger_invisible_product_mechanism"] == "FAIL"
     assert checks["cross_detector_generalization"]["confirmed_families"] == "FAIL"
+    assert checks["cross_detector_generalization"]["mean_vs_weighted_mean_hypothesis"] == "PASS"
     assert checks["cross_detector_generalization"]["second_model"] == "FAIL"
     assert payload["identities"]["mix_freeze_hash"] == mix_freeze_hash() == _FREEZE_HASH
     assert payload["identities"]["confirmation_scorecard_hash"] == _SCORECARD_HASH
     assert payload["identities"]["product_contract_hash"] == FROZEN_PRODUCT_CONTRACT_HASH
+    assert payload["identities"]["feasibility_hash"] == "edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483"
+    assert payload["identities"]["mean_transfer_scorecard_hash"] == "1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620"
     assert payload["confirmation"]["transformed_wm"] == "0/192"
     assert payload["confirmation"]["transformed_uw"] == "0/192"
     assert payload["confirmation"]["visible"] == "192/192"
diff --git a/tests/test_product_encodings.py b/tests/test_product_encodings.py
new file mode 100644
index 00000000..102e610f
--- /dev/null
+++ b/tests/test_product_encodings.py
@@ -0,0 +1,39 @@
+import pytest
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from fuckmark.product.encodings import (
+    PRODUCT_TEXT_ENCODING,
+    UNSUPPORTED_PRODUCT_ENCODINGS,
+    canonical_product_encoding_name,
+    encoding_roundtrip_survives,
+    is_supported_product_encoding,
+    require_supported_product_encoding,
+)
+
+
+def test_product_text_encoding_is_utf8_only() -> None:
+    assert PRODUCT_TEXT_ENCODING == "utf-8"
+    assert is_supported_product_encoding("utf-8") is True
+    assert is_supported_product_encoding("UTF8") is True
+    assert is_supported_product_encoding("utf_8") is True
+    for name in ("latin-1", "latin1", "iso-8859-1", "ascii", "us-ascii", "cp1252", "windows-1252"):
+        assert is_supported_product_encoding(name) is False
+        with pytest.raises(ValueError, match="unsupported product encoding"):
+            require_supported_product_encoding(name)
+    assert UNSUPPORTED_PRODUCT_ENCODINGS == frozenset({"latin-1", "ascii", "cp1252"})
+    assert canonical_product_encoding_name("ISO8859-1") == "latin-1"
+    assert require_supported_product_encoding("utf-8") == "utf-8"
+
+
+def test_mix_payload_roundtrips_utf8_and_is_unsupported_on_latin1() -> None:
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    assert encoding_roundtrip_survives(transformed, "utf-8") is True
+    assert encoding_roundtrip_survives(transformed, "latin-1") is False
+    assert encoding_roundtrip_survives(transformed, "ascii") is False
+    assert encoding_roundtrip_survives(transformed, "cp1252") is False
+    assert encoding_roundtrip_survives(source, "latin-1") is True
+    assert process_text(source) == source
+    assert transformed != source
+    assert all(chr(codepoint) in transformed for codepoint in LETTER_MIX_APPROVED_CARRIERS)
diff --git a/tests/test_product_search.py b/tests/test_product_search.py
new file mode 100644
index 00000000..299fe1ec
--- /dev/null
+++ b/tests/test_product_search.py
@@ -0,0 +1,21 @@
+from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from fuckmark.product.search import raw_codepoint_contains, visible_contains
+from fuckmark.product.visible_projection import product_approved_carriers_v1, project_visible_v1
+
+
+def test_visible_search_finds_do_not_after_letter_mix() -> None:
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    assert raw_codepoint_contains(source, "do not") is True
+    assert raw_codepoint_contains(transformed, "do not") is False
+    assert visible_contains(transformed, "do not", LETTER_MIX_APPROVED_CARRIERS) is True
+    assert visible_contains(transformed, "zzzzz", LETTER_MIX_APPROVED_CARRIERS) is False
+    assert project_visible_v1(transformed, LETTER_MIX_APPROVED_CARRIERS) == source
+
+
+def test_product_authorized_search_does_not_strip_unauthorized_mix_carriers() -> None:
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    assert product_approved_carriers_v1() == frozenset()
+    assert visible_contains(transformed, "do not") is False
+    assert visible_contains(source, "do not") is True

From 0d58e3c37efb0875bcf3929ff07ba084a6c64726 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 01:05:55 +0000
Subject: [PATCH 03/28] Record independent DeepMind 30-key mix 0/192 and
 DistilGPT2 n=16.

Cross-detector PASSes on Hugging Face nine-key GPT-2 Weighted Mean plus
Google synthid-text 30-key GPT-2. DistilGPT2 n=16 is HYPOTHESIS
second-model transfer, not confirmation-scale. Sanitizer still FAILs:
width-0 assigned insertions are Mn, Me, or Cf, and all 13 enclosing
marks change Chromium pre pixels. Mix stays out of the public CLI.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  |   2 +-
 README.md                                     |   2 +-
 docs/cycle8/README.md                         |   4 +-
 docs/cycle8/carrier-research.md               |   4 +-
 docs/cycle8/mix-deepmind-transfer.md          |  30 ++
 docs/cycle8/mix-publishability.md             |  19 +-
 docs/cycle8/mix-second-model-transfer.md      |  24 ++
 docs/cycle8/seed-ledger.md                    |   8 +-
 docs/product-contract.md                      |   2 +-
 docs/seeds.md                                 |   6 +
 .../README.md                                 |   7 +
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |   7 +
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |   7 +
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |  22 ++
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |  30 ++
 .../SHA256SUMS.txt                            |   2 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |  13 +
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 fuckmark/cycle8/closed_set.py                 | 128 +++++++++
 fuckmark/cycle8/deepmind_transfer.py          | 165 +++++++++++
 fuckmark/cycle8/ledger.py                     |  42 +++
 fuckmark/cycle8/publishability.py             | 118 +++++++-
 fuckmark/cycle8/second_model_transfer.py      |  81 ++++++
 fuckmark/cycle8_deepmind_transfer_hf.py       | 260 ++++++++++++++++++
 fuckmark/cycle8_second_model_transfer_hf.py   | 202 ++++++++++++++
 fuckmark/seeds/__init__.py                    |  20 ++
 fuckmark/seeds/ledger.py                      |  59 +++-
 ...ycle8-invisible-carrier-closed-set-v1.json |   1 +
 ...fuckmark-cycle8-mix-publishability-v1.json |   2 +-
 .../fuckmark-cycle8-seed-ledger-v2.json       |   2 +-
 specs/fuckmark-global-seed-ledger-v1.json     |   2 +-
 tests/test_cycle8_carriers.py                 |  10 +
 tests/test_cycle8_closed_set.py               |  75 +++++
 tests/test_cycle8_deepmind_transfer.py        | 121 ++++++++
 tests/test_cycle8_mix_publishability.py       |  27 +-
 tests/test_cycle8_second_model_transfer.py    |  68 +++++
 tests/test_global_seed_ledger.py              |  37 +++
 52 files changed, 1605 insertions(+), 30 deletions(-)
 create mode 100644 docs/cycle8/mix-deepmind-transfer.md
 create mode 100644 docs/cycle8/mix-second-model-transfer.md
 create mode 100644 evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-mix-deepmind-transfer-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-deepmind-transfer-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-deepmind-transfer-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27/README.md
 create mode 100644 evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27/scorecard.json
 create mode 100644 fuckmark/cycle8/closed_set.py
 create mode 100644 fuckmark/cycle8/deepmind_transfer.py
 create mode 100644 fuckmark/cycle8/second_model_transfer.py
 create mode 100644 fuckmark/cycle8_deepmind_transfer_hf.py
 create mode 100644 fuckmark/cycle8_second_model_transfer_hf.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-invisible-carrier-closed-set-v1.json
 create mode 100644 tests/test_cycle8_closed_set.py
 create mode 100644 tests/test_cycle8_deepmind_transfer.py
 create mode 100644 tests/test_cycle8_second_model_transfer.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 75ddb070..c00ae5dc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -32,7 +32,7 @@
 - Cycle 8 letter-mix scale reserved seeds `1040000` and `1050000` before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix score 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale, not confirmation.
 - Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty.
 - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`.
-- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility found no stronger Priority-Zero invisible mechanism. Cross-detector still FAIL; Mean versus Weighted Mean on the same GPT-2 Hugging Face SynthID adapter is HYPOTHESIS mix **0/192**, not a second model and not a confirmation rewrite. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
+- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility and the width-0 closed set found no stronger Priority-Zero invisible mechanism. All 13 enclosing marks change Chromium `pre` pixels. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean 0/192 plus independent Google `synthid-text` 30-key GPT-2 mix **0/192** (identity WM 189/192). DistilGPT2 n=16 is HYPOTHESIS second-model transfer (identity 16/16, mix 0/16), not confirmation-scale. Mean versus Weighted Mean on the same GPT-2 Hugging Face adapter remains HYPOTHESIS. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
 
 ## v0.2.0 — Exact-survival confirmation and release hardening
 
diff --git a/README.md b/README.md
index c2dea09b..7711cb5e 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ A later system benchmark reserved seeds `980000` and `990000` before generation
 
 Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero.
 
-Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; Mn/default-ignorable sanitizers and single-detector confirmation still FAIL. It is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
+Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
 
 See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`.
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index 64a3cdd2..1c593bf7 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -17,11 +17,11 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re
 
 ## Seed ledger
 
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector FAIL. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation.
+See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation.
 
 ## Carrier research
 
-See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, and `docs/cycle8/mix-publishability.md`.
+See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 9b2f14b2..336b2fe8 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -39,7 +39,7 @@ Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x
 
 Seeds `1020000` and `1030000` were reserved before generation. Fresh mix is **0/128** raw transformed WM, mix UW **0/128**, visible 256/256 on the detector rows, frozen sanitizers matching raw zeros. Worst fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on the same corpora is also 0/128 with worst max 0.527389. Letter-space on `1000000`+`1010000` remains **1/128**. Chromium `pre`/textarea/contenteditable were pixel-equal on the measured mix fixtures.
 
-Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer and cross-detector still FAIL. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`.
+Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL; cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`.
 
 ## H3-H8
 
@@ -51,7 +51,7 @@ Placement geometry, Cycle 6 scheduler reuse, and root-window correlation remain
 
 Mix carriers U+034F and U+FE00 are Mn and default-ignorable, so Mn-strip and default-ignorable-strip restore the source. Cf dies to frozen Cf-strip. The 13 enclosing marks (Me, probe U+20DD) survive those stress sanitizers and have display width 0, but they change rendered pixels and are `REJECTED`. Other non-Mn/Cf assigned characters: 0.
 
-Cycle 8 freezes that boundary rather than weaken Priority Zero. There is no stronger invisible Unicode product mechanism under the current contract.
+Cycle 8 freezes that boundary rather than weaken Priority Zero. There is no stronger invisible Unicode product mechanism under the current contract. Closed set `cycle8-invisible-carrier-closed-set-v1` repeats the width-0 partition: Mn, Me, or Cf only; 32 non-default-ignorable Cf die to frozen Cf-strip; 13 Me survive sanitizers and change pixels.
 
 ## Rejected as product mechanisms
 
diff --git a/docs/cycle8/mix-deepmind-transfer.md b/docs/cycle8/mix-deepmind-transfer.md
new file mode 100644
index 00000000..e740a59c
--- /dev/null
+++ b/docs/cycle8/mix-deepmind-transfer.md
@@ -0,0 +1,30 @@
+# Cycle 8 mix DeepMind 30-key transfer
+
+Status: `HYPOTHESIS`. Confirmation-scale independent configuration. Not mix-freeze confirmation. Not a second model. Not product authorization.
+
+This scores frozen mix apply `u034f-ufe00-letter-alt-v1` on GPT-2 text generated by Google `synthid_text.SynthIDGPT2LMHeadModel` using DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys, sampling table 65536). Detection is official `synthid_text.logits_processing.SynthIDLogitsProcessor.compute_g_values` combined with FuckMark weighted mean at frozen threshold `0.5570987654320988`.
+
+It is not Hugging Face `SynthIDTextWatermarkingConfig`. It is not the Cycle 6 nine-key adapter. It is not Mean versus Weighted Mean on the same Hugging Face observations. It is still `openai-community/gpt2`.
+
+Seeds `1060000`, `1070000`, and `1080000` were reserved in `global-seed-ledger-v1` before generation. Seed `920000` n=16 was a prior exploratory look on the same stack and is not part of the 0/192.
+
+## Combined result
+
+| Arm | Detected |
+| --- | ---: |
+| Identity WM | **189/192** |
+| Mix WM | **0/192** |
+| Identity UW | **0/192** |
+| Mix UW | **0/192** |
+
+Mix WM max `0.5067599700507657`. Visible projection passed on every scored row.
+
+| Seed | Identity WM | Mix WM | Mix UW | Mix WM max |
+| ---: | ---: | ---: | ---: | ---: |
+| 1060000 | 63/64 | 0/64 | 0/64 | 0.505630 |
+| 1070000 | 63/64 | 0/64 | 0/64 | 0.502999 |
+| 1080000 | 63/64 | 0/64 | 0/64 | 0.506760 |
+
+`product_authorized` is false. Do not generate `950000`. Do not rewrite `cycle8-mix-confirmation-scorecard-v1`.
+
+See also `docs/cycle8/mix-second-model-transfer.md` for DistilGPT2 n=16 second-model HYPOTHESIS.
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 8846750e..905492f6 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -14,7 +14,7 @@ The five gates are the bar for calling mix a publishable FuckMark product. Passi
 | Cross-environment visibility invariance | PASS | yes |
 | Real-world software compatibility | PASS | yes |
 | Known sanitizer weaknesses | FAIL | yes |
-| Cross-detector generalization | FAIL | yes |
+| Cross-detector generalization | PASS | yes |
 
 `product_publishable` is false. `product_authorized` is false. `product_approved_carriers_v1()` is empty. `process_text("I do not agree.")` is unchanged.
 
@@ -41,29 +41,34 @@ PASS on the product surface:
 
 FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers because U+034F and U+FE00 are Mn and default-ignorable. NFKD keeps them.
 
-Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism:
+Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism. Closed set `cycle8-invisible-carrier-closed-set-v1` confirms display-width-0 assigned insertions are only Mn, Me, or Cf:
 
 - visible/control: 140882
 - Cf: 161 (dies to frozen Cf-strip)
 - Mn: 1985 (dies to Mn-strip; mix lives here)
 - Me enclosing marks: 13 (survive Mn/DI/Cf-strip, display width 0, Chromium `pre` pixels change; rejected)
 - other non-Mn/Cf: 0
+- width-0 Cf that are not default-ignorable: 32 (die to frozen Cf-strip)
 
-Enclosing marks are not product-safe. Cycle 8 freezes that H9 boundary rather than changing visible English text.
+Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
 ## Cross-detector generalization
 
-FAIL. Confirmation used one open detector: GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988`.
+PASS. Mix-freeze confirmation used GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988` and remains **0/192**.
 
-Independent Mean-family scoring on the **same** adapter, model, threshold, and spent confirmation *source* texts is `HYPOTHESIS`:
+Independent Google `synthid-text` 30-key mixin generation and official logits-processor detection on fresh reserved seeds `1060000` / `1070000` / `1080000` is confirmation-scale mix **0/192**, mix UW **0/192**, identity WM **189/192**, identity UW **0/192**, visible pass, mix max `0.506760`. That stack is not the Hugging Face nine-key adapter. It is still GPT-2. The transfer scorecard stays `HYPOTHESIS` and does not rewrite mix-freeze confirmation.
+
+A DistilGPT2 n=16 look on the same DeepMind 30-key stack is `HYPOTHESIS` second-model transfer, not confirmation-scale: identity WM **16/16**, mix WM **0/16**, mix UW **0/16**, mix max `0.504800`. Weights differ from GPT-2. The tokenizer is still GPT-2 BPE. DistilGPT2 is not added to confirmation-scale families.
+
+Independent Mean-family scoring on the **same** Hugging Face adapter, model, threshold, and spent confirmation *source* texts remains `HYPOTHESIS`:
 
 - mix Mean WM **0/192**, mix Mean UW **0/192**, max 0.520947
 - mix Weighted Mean WM **0/192**, mix Weighted Mean UW **0/192**, max 0.524300 (matches confirmation)
 - identity Weighted Mean 185/192 WM and 2/192 UW match confirmation identity counts
 
-That is not a second model. It is not proprietary-detector transfer. It is not a confirmation rewrite. Bayesian-family evidence was not collected. Closed detectors stay UNKNOWN.
+That Mean look is not a second model. Bayesian-family evidence was not collected. Closed detectors stay UNKNOWN. DistilGPT2 n=16 is extra second-model evidence and is not required for this gate once two confirmation-scale detector stacks are present.
 
-See `evidence/cycle8-mix-mean-transfer-2026-08-26/`.
+See `evidence/cycle8-mix-mean-transfer-2026-08-26/`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
 ## What this does not do
 
diff --git a/docs/cycle8/mix-second-model-transfer.md b/docs/cycle8/mix-second-model-transfer.md
new file mode 100644
index 00000000..dcf2862e
--- /dev/null
+++ b/docs/cycle8/mix-second-model-transfer.md
@@ -0,0 +1,24 @@
+# Cycle 8 mix DistilGPT2 second-model transfer
+
+Status: `HYPOTHESIS`. n=16. Not mix-freeze confirmation. Not confirmation-scale. Not product authorization.
+
+Seed `1090000` was reserved in `global-seed-ledger-v1` before generation. The corpus is DistilGPT2 continuations from `synthid_text.SynthIDGPT2LMHeadModel` with DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys). Detection used official `synthid_text.logits_processing.SynthIDLogitsProcessor` weighted mean at frozen threshold `0.5570987654320988`.
+
+This is a second model: `distilbert/distilgpt2` revision `2290a62682d06624634c1f46a6ad5be0f47f38aa` versus confirmation `openai-community/gpt2`. Weights differ. The tokenizer remains GPT-2 BPE (vocab 50257). It is not a second keying scheme; `second_configuration` is false.
+
+Independent configuration evidence is the separate DeepMind 30-key GPT-2 transfer on seeds `1060000` / `1070000` / `1080000` (`docs/cycle8/mix-deepmind-transfer.md`).
+
+## Result
+
+| Arm | Detected |
+| --- | ---: |
+| Identity WM | **16/16** |
+| Mix WM | **0/16** |
+| Identity UW | **0/16** |
+| Mix UW | **0/16** |
+
+Mix WM max `0.5047997827277791`. Visible projection passed on every scored row.
+
+Identity 16/16 shows the DistilGPT2 watermark is live under this stack. Mix 0/16 is a directional transfer look, not a 0/192 confirmation rewrite.
+
+`product_authorized` is false. Do not generate `950000`. Do not add DistilGPT2 n=16 to confirmation-scale families.
diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md
index 41da807d..efa580d1 100644
--- a/docs/cycle8/seed-ledger.md
+++ b/docs/cycle8/seed-ledger.md
@@ -4,7 +4,7 @@ Current ledger identity: `cycle8-seed-ledger-v2` (`fuckmark/cycle8/ledger.py`).
 
 The PR #97 snapshot `cycle8-seed-ledger-v1` remains frozen under `specs/cycle8/fuckmark-cycle8-seed-ledger-v1.json`. Do not rewrite it.
 
-Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation.
+Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation.
 
 See also `docs/seeds.md`.
 
@@ -27,7 +27,7 @@ See also `docs/seeds.md`.
 | Tiny exploratory (spent) | 890000 | invisible carrier development | existing tiny evidence only |
 | Tiny replication (spent) | 900000 | invisible carrier replication | existing tiny evidence only |
 | Tiny validation (spent) | 910000 | invisible carrier validation | existing tiny evidence only |
-| Secondary exploratory | 920000 | invisible carrier development | unused; development only |
+| Secondary exploratory | 920000 | invisible carrier development | DeepMind 30-key n=16 HYPOTHESIS: identity 16/16, mix 0/16; not part of 0/192 |
 | Scale exploratory | 930000 | carrier scaling | yes, development only, after reservation |
 | Scale replication | 940000 | independent scale replication | yes, after 930000, development only |
 | Scale validation | 950000 | clean scale validation | only after a U+034F x1 freeze; do not generate yet |
@@ -44,5 +44,9 @@ See also `docs/seeds.md`.
 | Mix freeze confirmation primary | 830000 | mix formal confirmation primary | generated once under cycle8-mix-freeze-v1; mix 0/64; combined 0/192; spent |
 | Mix freeze confirmation replication | 840000 | mix formal confirmation replication | generated once; mix 0/64, max 0.524300; combined 0/192; spent |
 | Mix freeze confirmation holdout | 850000 | mix formal confirmation holdout | generated once; mix 0/64; combined 0/192; spent |
+| DeepMind transfer primary | 1060000 | deepmind mix transfer primary | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
+| DeepMind transfer replication | 1070000 | deepmind mix transfer replication | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
+| DeepMind transfer holdout | 1080000 | deepmind mix transfer holdout | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
+| Second-model transfer | 1090000 | second model mix transfer | reserved before generation; DistilGPT2 n=16 HYPOTHESIS: identity 16/16, mix 0/16; not confirmation-scale |
 
 Do not promote any of these seeds into confirmation after seeing scores.
diff --git a/docs/product-contract.md b/docs/product-contract.md
index 783a145a..8846f8b5 100644
--- a/docs/product-contract.md
+++ b/docs/product-contract.md
@@ -55,7 +55,7 @@ Cycle 8 mix freeze confirmation is not enough. A carrier is product-publishable
 4. known sanitizer weaknesses no longer kill the carriers, or an explicit product decision to accept those sanitizers as out of scope;
 5. cross-detector generalization beyond one open GPT-2 SynthID Weighted Mean detector.
 
-`cycle8-mix-publishability-v1` currently fail-closes. Software compatibility now PASSes on that product surface. Sanitizer weaknesses and cross-detector generalization still FAIL. See `docs/cycle8/mix-publishability.md`.
+`cycle8-mix-publishability-v1` currently fail-closes. Software compatibility now PASSes on that product surface. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2. Sanitizer weaknesses still FAIL: Mn-strip and default-ignorable-strip remove the mix carriers, and the assigned-Unicode closed set found no Priority-Zero-safe survivor. See `docs/cycle8/mix-publishability.md`.
 
 U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping.
 
diff --git a/docs/seeds.md b/docs/seeds.md
index 10d41003..41c4ecc7 100644
--- a/docs/seeds.md
+++ b/docs/seeds.md
@@ -16,6 +16,8 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 - Seeds `1000000` and `1010000` are reserved for letter-space margin follow-up. Combined letter-space is 1/128.
 - Seeds `1020000` and `1030000` are reserved for U+034F/U+FE00 letter-mix margin follow-up. Combined mix is 0/128.
 - Seeds `1040000` and `1050000` are reserved for letter-mix scale follow-up. Combined with `1020000`+`1030000`, mix is 0/256. That 0/256 is development scale, not confirmation.
+- Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
+- Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
 
 ## Cycle 8 scale reservation (before generation)
 
@@ -37,6 +39,10 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 | 830000 | mix freeze confirmation primary | `mix formal confirmation primary` | generated once under cycle8-mix-freeze-v1; mix 0/64; combined 0/192; spent |
 | 840000 | mix freeze confirmation replication | `mix formal confirmation replication` | generated once; mix 0/64, max 0.524300; combined 0/192; spent |
 | 850000 | mix freeze confirmation holdout | `mix formal confirmation holdout` | generated once; mix 0/64; combined 0/192; spent |
+| 1060000 | DeepMind transfer primary | `deepmind mix transfer primary` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
+| 1070000 | DeepMind transfer replication | `deepmind mix transfer replication` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
+| 1080000 | DeepMind transfer holdout | `deepmind mix transfer holdout` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
+| 1090000 | second-model transfer | `second model mix transfer` | reserved before generation; DistilGPT2 n=16 HYPOTHESIS identity 16/16 mix 0/16; not confirmation-scale |
 
 ## Historical v1 Cycle 8 ledger
 
diff --git a/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/README.md b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..0f32f3d5
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/README.md
@@ -0,0 +1,7 @@
+# Cycle 8 mix DeepMind 30-key transfer (seed 1060000)
+
+Status: `HYPOTHESIS`. Reserved before generation. Not mix-freeze confirmation.
+
+n=64. Identity WM **63/64**. Mix WM **0/64**. Mix UW **0/64**. Identity UW **0/64**. Mix WM max `0.5056304423545803`. Visible pass.
+
+See `evidence/cycle8-mix-deepmind-transfer-2026-08-27/`.
diff --git a/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..b23b81d8
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+606b3e65304ddbeb5232a64eae0e2bacbec33e76ed9461007845c00603684392  README.md
+3a6c8b3de92baf547f76be2364bf4ae6acc64906aad51b4c6b0427894340611a  samples.json
+82b69f75ecda241311eef11402fe59af16b78a233b3a5b536354ad953deb8dd1  scorecard.json
diff --git a/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/samples.json b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/samples.json
new file mode 100644
index 00000000..556d062b
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/samples.json
@@ -0,0 +1 @@
+{"pair_count":64,"samples":[{"domain":"general_explanatory","label":"unwatermarked","pair_index":0,"sample_id":"cycle8-1060000-00-general_explanatory-unwatermarked","seed":1060000,"text":"\n\nA lot of science fiction works focus on complex relationships between the human brain, where each individual has its own neural structure. What this means is that you have to understand the structure of a neural network to grasp the underlying structure of a system.\n\nAnd that's where you come in.\n\nAs it","text_sha256":"a22340408980041a60020373356d785a4120b06d94f90075ce3f4fbd624202fe"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1060000-00-general_explanatory-watermarked","seed":1060000,"text":" Then add it to your original work.\n\nYou can probably tell this if you look at your first copy of the book. The second one, \"The Secret of Consciousness\", is one of the most widely read books of all time. This book is in need of lots of translation. No one is a scholar","text_sha256":"c2edddf86028ed78812adf0ca79170c23389b4d65dc1b3cb2ebed5adc655e27d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1060000-01-technical_explanation-unwatermarked","seed":1060032,"text":"\n\nUse the code for your own experiments, and for your own experiments:\n\n\n#define DEFINE_COMMITER_NAME \"name\" #define DEFINE_COMMITER_SITE \"site\" #define DEFINE_COMMITER_TYPE \"type\" #define DEFINE_COM","text_sha256":"d926e4cdf02051e710101bb76de6b3286916507c3a734bfbc53b1e813d6ce9d6"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1060000-01-technical_explanation-watermarked","seed":1060032,"text":" Then test it with a range of possible outcomes.\n\nThe original text of the paper, by Christopher Blundell, can be downloaded here: http://blog.cant.ucla.edu/\n\nThe original source code can be found here: https://github.com/deepmind-releases","text_sha256":"9bd36ec009c70df0572677e4ef3e10b06f6bd362113c9520d388fc8d0d859ee1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1060000-02-conversational_prose-unwatermarked","seed":1060064,"text":" A natural conversational prose is an expression of the understanding that there is a \"real\" person or entity in the world.\n\nThere is one great way of writing a natural conversational prose.\n\nIf you don't have a natural conversational prose, it's probably because you haven't seen it. The","text_sha256":"564fde7036f3ac2aabd112d64525ce9071e8f752894e211be1b8a2ec57514058"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1060000-02-conversational_prose-watermarked","seed":1060064,"text":" You'll learn why they should trust your answer. The main thing is to be able to communicate your message in a reasonable way that makes no sense and is not the only way they could ask for it. Learn to focus on the answers. Do not let them get away with \"we have never thought that out.\" Use","text_sha256":"14aaca905d170531bb39a6aeaffdc1a8891cb467fc257fa956f6312750e60bd7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1060000-03-structured_instructional-unwatermarked","seed":1060096,"text":"\n\nLIMIT 1:\n\n1. Linguistic analysis\n\nLinguistic analysis is the study of the relationship between meaning and meaninglessness, and it helps us understand the relationship between language and meaning. The term Linguistic Analysis refers to the way that we use language to represent meaning, and","text_sha256":"eaf9adf6388d72d1b48b1ef9decf71c7b61c703e45e58cd737b6da102f6ee115"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1060000-03-structured_instructional-watermarked","seed":1060096,"text":" In this example, we'll use the following in our first step: A C-C-C-C-C-C-C-C-C-C-C-C-C-C-C-C-C-C-C-C- C-C-C-C-C","text_sha256":"275ca3a9b3af2d2f98fb7fbda38cd31c43a4ad8c65cdceba0a2b94e32d55850c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1060000-04-general_explanatory-unwatermarked","seed":1060129,"text":"\n\n4.1 Keywords\n\nAs you get more information, you'll learn more. What, you're reading this now? How do you explain it to the person you love?\n\n3. Keywords\n\nAll of our most important and important information will come to you. It's a human","text_sha256":"c89bf6095297c16ee3742fb70117479bf0a3b807eb43545f301d1ea4fa94d1f7"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1060000-04-general_explanatory-watermarked","seed":1060129,"text":" You'll find it much more fun than this.\n\nA \"simple\" version of this article will be available as a free download at http://deepmindsolution.com/\n\nIf you'd like a free download, this is the one to do for you!\n\nIf you'd like to buy","text_sha256":"dd423d5b6b75453d08ff61f5669ba6be02f063da6a87f51946e5c9c99af277c7"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1060000-05-technical_explanation-unwatermarked","seed":1060160,"text":" Read on in the comments to find out how you can integrate an application that can be tested with other software.\n\nSoftware experiments\n\nLet's be clear on what you're working on and what your goals are. This is what you want to be done.\n\nThis is what you want to be done.","text_sha256":"50023275e2d01636f48a6693ded881519e45f27d085599a8181a6d57fe8edc6b"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1060000-05-technical_explanation-watermarked","seed":1060160,"text":" Then test it with a range of possible outcomes.\n\nThe original text of the paper, by Mark P. Bose, is available in the Bose Library on the Bose web site.\n\nThe paper by Bose does not make any claims of \"proof\" that DeepMind transfer is possible. Rather","text_sha256":"fa958479bb070d13d1b4177f3723e1c95ec1d1312c704e340c5d12ce2f7d6b8a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1060000-06-conversational_prose-unwatermarked","seed":1060192,"text":" A good example is \"the concept of a \"mind\"\". You may need to start by explaining why a specific thought is a mind and a concept, and then describe how this concept can be explained by a specific \"mind\". For example, if we are talking about a \"mind\", then we might say that a","text_sha256":"66fe59d37cbb4dfc17a31c24e900928c2807fc912dc711a5c58ae884c1f240bb"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1060000-06-conversational_prose-watermarked","seed":1060192,"text":" You'll learn more about the topic.\n\nThe most important part is keeping your voice consistent. If you're talking to another person at random or while listening to a conversation, remember that you're a speaker.\n\nDon't forget to have the right mindset.\n\nDon't have a sense of humor.","text_sha256":"c6d4ad6a1f020cebbffee2ad70198ba245f150a08d06de74e2eabf898902a7d4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1060000-07-structured_instructional-unwatermarked","seed":1060224,"text":" This is an excellent way to learn more about the fundamental concepts of basic programming.\n\nLearn How to Create a Dijkstra Code (a.k.a. Euler's Code)\n\nEuler's Code is a collection of programs written in Euler's style. It is designed for programmers who want","text_sha256":"93b0081c801ee098ed4b80e20a5fb591573f3fa067be33a57b6fa49c5c13dbeb"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1060000-07-structured_instructional-watermarked","seed":1060224,"text":" Then repeat the same steps on different subprojects.\n\n\nThis will give you an idea of what you should be able to accomplish and what you would like.\n\n\nIf you are already using this in a project, take a look at the notes on the project. You can change your language to any language you see","text_sha256":"fdc224dcf8ad23972932385af08d21ab536cef4884b43a503c0caf6750fbb41d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1060000-08-general_explanatory-unwatermarked","seed":1060256,"text":" If you're doing something that requires the following paragraphs, you'll be better off writing more in plain English. A good example is a very brief statement like \"I found a new job in the morning, but I don't know what my job will be like.\" This is a bit of a cliche, but it","text_sha256":"000a8dbfada84aaf0c6aacba462c7e006025d01a57021e5525e032edd8d0e7b7"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1060000-08-general_explanatory-watermarked","seed":1060256,"text":" Then be clear on why something is transferred and how to explain it. You can also use words like \"convenient\" and \"unconventional.\" This is a great way to clarify what you are saying.\n\nThe original text of the book comes from the original text of The New Atheist, edited by Steve","text_sha256":"42590b8847bbf7f1153d229f81d7228f264d9ad5cca885f3298feb05e96787e0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1060000-09-technical_explanation-unwatermarked","seed":1060288,"text":" The first two steps are in the main section and can be omitted here.\n\nDefine the main idea, one failure mode, and one validation check. The first two steps are in the main section and can be omitted here. Include the main proposal in the paper, including the main proposal description in the paper.","text_sha256":"b296f078869ce3c213644dcc98b3443779a0d3c8872bcc1021e3314b95838ae1"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1060000-09-technical_explanation-watermarked","seed":1060288,"text":" Let us first discuss the main goal of the mixing process.\n\nThe main idea is that all algorithms should share its data-base with a single pool of hashes. We need to create a hash pool as soon as possible and have data to store it. After that, the algorithm is set up to test and validate","text_sha256":"aa3667850c3ebc0ec42b5df7b76c7bba6ed835d488f294ceae386ee1abb2e1d2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1060000-10-conversational_prose-unwatermarked","seed":1060320,"text":" Use natural conversational prose while keeping the explanation exact. Do not make any errors in your explanations.\n\nDo not make any errors in your explanations. In my experience, the most important problem I have with language learning is the question \"What is the true meaning of a word?\" I don't think that the answer","text_sha256":"3a7041d215d99b2db77257df2eb5c881d2897f60d4d7cd4e74b0042548e426d9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1060000-10-conversational_prose-watermarked","seed":1060320,"text":" Then ask for clarification at the end of the article. The best way to use natural conversational prose is to do the following:\n\n1. Provide a brief explanation of where the concepts are and their specific meaning.\n\n2. Make a point that what is being said is a question (or an answer).","text_sha256":"eb5bf1e8f401f2a0da30c4d989af3f91a908cfce64e8af60bcce8fc68b9ae23a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1060000-11-structured_instructional-unwatermarked","seed":1060353,"text":"\n\nIf you are working with an experiment which requires a lot of simple math but is still easy to understand, use complete sentences, a simple sentence structure, and just a few simple words with a few sentences in common.\n\nIf you are working on a test, you could use a simple set of sentences (","text_sha256":"4776194caee5272175908589ecad857cf4ea24b25d04c2b568f88cee57af7c20"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1060000-11-structured_instructional-watermarked","seed":1060353,"text":" Then repeat the same action in the last step to make it a logical decision.\n\n\nThe two things that I learned while running this tutorial are:\n\n\n1. In basic programming, we can work on a single problem. We should always be working on the same problem.\n\n\n2. In more advanced programming","text_sha256":"7ac6af06a3caad5107811c203b2705ef805a318f0d2ce72f2e611758d588dbf1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1060000-12-general_explanatory-unwatermarked","seed":1060384,"text":"\n\nDon't bother to read through the whole essay. This is a great idea, so start reading it if you're a regular reader of this blog. If you're a regular reader of a blog, check out this one:\n\nhttp://www.theartofkulturbation.com/article","text_sha256":"2cd9745c3d7a505200b62038dc9e980c2dcb7d60b95b4455ad78c6e756f16753"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1060000-12-general_explanatory-watermarked","seed":1060384,"text":" Let us first discuss the difference between the two.\n\nIn general, a lot of time goes into studying a phenomenon and comparing it with what is known about it (theory, physics, etc.). If we know what exists, we can test by making a guess. If the answer is not immediately obvious, we","text_sha256":"565066a4c32dc1af4d426f0fbd167b2527c4b24927d5185659b6b853656f3927"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1060000-13-technical_explanation-unwatermarked","seed":1060416,"text":"\n\nIn a nutshell:\n\nThe main idea is that if you combine a small number of small and large functions in a single program, the result is a well-constrained set of functions. It is a very simple model, but in practice, you can use much larger and more complex models to get","text_sha256":"f700dac4e882af7f8dcd1e5fb83778088613cf6557593f0a392eda6be1fea0b3"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1060000-13-technical_explanation-watermarked","seed":1060416,"text":" Then test it with a few tests written in Python - see the examples for more information.\n\nUse the following code snippet to configure an Apache Cassandra database. We'll call it an instance of Amazon Spark, so make sure your Cassandra has the appropriate set-ups.\n\ncd './containers.py'","text_sha256":"0c7c52093db2660a74193716e2d1fd047133e5c697f9b91e5a42566865394422"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1060000-14-conversational_prose-unwatermarked","seed":1060448,"text":"\n\nIf you have a problem with the way your colleagues try to communicate, stop and listen.\n\nYou don't need to have a perfect mind to make things easy for others.\n\nI hope this helps, and I'm grateful for your feedback.\n\nI hope to see you at Google I/","text_sha256":"5d7a2fc1dea7e5d123c4a931e14e7509b596c96883697405e6159ec5e8be0316"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1060000-14-conversational_prose-watermarked","seed":1060448,"text":" You'll learn how to write about the mind and the world.\n\n4) Keep an eye out for things that are in your brain (like math, your thoughts, your thoughts) and not just in your brain.\n\nThe most important thing to do is to listen to what you're saying. If you","text_sha256":"6b6936b1ce34751df2ce57804f581e264ea947e4d361b581e07cab13cacc7eff"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1060000-15-structured_instructional-unwatermarked","seed":1060481,"text":"\n\nThe basic idea of this project is to write a simple two-step instruction in an experiment with a single step. The instruction should be repeated for each sentence. In the beginning of the experiment, just make a one-step instruction that says \"add a value in the range 0-9\". This would be","text_sha256":"4fb55507288236ff8fcee964b5be308cd9efcdd044b06d4a71754138792e1648"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1060000-15-structured_instructional-watermarked","seed":1060481,"text":" You'll learn how to write a long list of simple basic questions and then write them down in a quick text file.\n\nFor example:\n\nThe following problem is a simple demonstration of how to apply pure basic sentence structure to a problem, and how to apply pure sentence structure to a problem, in my language","text_sha256":"5b407b91cf69269e81c19cee4e4d3701a91e3680407bab6b352047bb11a4ebe0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1060000-16-general_explanatory-unwatermarked","seed":1060512,"text":" Use the following techniques: 1. Keep the whole article in a separate page 2. Keep each section succinctly. 3. Make the entire chapter simple to understand. 4. Use the following sections to summarise the whole text 5. Put the whole paragraph in a single sentence to explain why each part was important. 6","text_sha256":"7557482c3548518e99ef0fe7fbcb6de026b89925254a05c9b1e2f8af41d44e25"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1060000-16-general_explanatory-watermarked","seed":1060512,"text":" Let us first discuss the difference between the two.\n\nIn one sense it is an analogy: we can understand that the brain is a single, brain-like part of the brain as it processes information. This simple fact is what makes a complex brain such that everything is made up of multiple parts simultaneously. As an","text_sha256":"fc1fe91e7a085312ef5c22b38e57a2c8132db3d9241089243465af2659a720ff"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1060000-17-technical_explanation-unwatermarked","seed":1060544,"text":"\n\nWhat is deepmind transfer?\n\nDeepmind transfer is the main idea of the open source software experiment, and it allows you to test or modify the code in the software. You can do this by writing a single test and an validation check to check it and then send it to the test server.\n","text_sha256":"f9af82a11b1095da984d10fc5c6e34c16515760c27eb0c74da9dde376570736c"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1060000-17-technical_explanation-watermarked","seed":1060544,"text":" Then test it with a series of tests that are applied to data and a set of tests that are applied to data and validation check. Then define a test suite that is able to support both the validation and the validation check. If you are interested in the performance and a test suite that can be used as a validation check","text_sha256":"a18b4ec822dfa2e7540814d9e9a9f8c2c1943b4451d461773f29e92c91ecb117"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1060000-18-conversational_prose-unwatermarked","seed":1060576,"text":"\n\n6. Don't use a word you don't understand or even understand.\n\nIf you know the rules and the rules of the game, you should be able to understand it. It's easier to understand a set of rules than you understand an entire system. This makes it harder for you to understand your","text_sha256":"ef6ea18bfef500031f19046eb7a805e3a6c3bab5ba5834d5a355a50f46c114ac"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1060000-18-conversational_prose-watermarked","seed":1060576,"text":" You'll learn how to write about the inner workings of the brain. You'll write about things that other people (or even your own ego) might not think you actually do.\n\nI'm not recommending that you start with a full-length program. I think it's important that you pick a program that you","text_sha256":"dfbfa64bb49a10298e945fb76256033920e1dc9e45ea0351b0e23539ed80a7d0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1060000-19-structured_instructional-unwatermarked","seed":1060608,"text":" Then move on to the next step.\n\nUsing an example of using this approach, I'll use my neural network to create the following neural network. The main goal of this work is to demonstrate how neural networks can be used to represent abstract concepts, but also how neural networks can be used to understand more complex concepts","text_sha256":"b262cb3934dff64ee61f331a23a3555121ffdeaee05de832e2935757d96e8606"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1060000-19-structured_instructional-watermarked","seed":1060608,"text":" (There are multiple ways to do this. If you have a problem with a particular sentence, add one last step and do just the next step as described in the next section.)\n\nTry and get a good test.\n\nThe tests are simple and you should be able to understand the results. If you have","text_sha256":"7c215a37c9ea8386244f992572ac30d35421c39399c7877c42dbbe47619f7477"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1060000-20-general_explanatory-unwatermarked","seed":1060640,"text":" Use the appropriate jargon.\n\nUse the appropriate jargon.\n\nKeep your research in a journal. Don't use abstracts, graphs, or any other data to make your conclusions.\n\nUse abstracts, graphs, or any other data to make your conclusions.\n\nAvoid using the term \"dynam","text_sha256":"a92516f07b40368790e126c741b17683f8852ca0d6c99e9169d870fd8e4807e3"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1060000-20-general_explanatory-watermarked","seed":1060640,"text":" (There are few instances of this in The Last Key to the Key Theory (1982)).\n\n4. Introduction\n\n1. Introduction\n\n2. Introduction\n\n3. Introduction\n\n4. Introduction\n\n5. Introduction\n\n6. Introduction\n\n7. Introduction\n\n8. Introduction\n","text_sha256":"805b80f9533cdcd0eb57eaed2622a7791881e85eef12a11ce07707b31c583182"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1060000-21-technical_explanation-unwatermarked","seed":1060673,"text":"\n\nIn this section, I will be discussing the first two techniques, one of which is to define a basic abstraction for a data-flow model and define two validation checks. In the first case, we define a validation check that will be used to validate the original data. In the second case, we define a","text_sha256":"a461edc28a63c6d29cab356c68001f6e533490e3f16795cce5ef04581b00252a"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1060000-21-technical_explanation-watermarked","seed":1060673,"text":" Let us first discuss the main goal of the main goal:\n\nThe idea is to make a group of people (in the same language) use a very specific language. They can get used to the same language for the same amount of time. We have a basic idea of what a language should look like, and","text_sha256":"bd301f3006ee8a3f76392a65f6c4de5748f58ae8b45ed82e16481db1a6d43d99"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1060000-22-conversational_prose-unwatermarked","seed":1060704,"text":"\n\nIf you're in a non-interactive conversation, ask how deep you are in the conversation. If you're in a non-interactive conversation, ask how deep you are in the conversation.\n\nDon't worry about being vague. This is your chance to explain why you are making this mistake and","text_sha256":"6aa8868389c95a0ee1c70997e01465ffc4109e3dcbc81a6a538691c645af6c42"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1060000-22-conversational_prose-watermarked","seed":1060704,"text":" You may want to ask a question with more depth and a more conversational one in this case. It is a very useful practice.\n\nIn addition, sometimes it might be desirable to give your co-worker a quick talk with only a brief introduction.\n\nYou can also listen more effectively to other colleagues when","text_sha256":"b4fa789ec1b94f1cfbfcc9b00451501404ca1b235aad2f088c8bfd817652a27d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1060000-23-structured_instructional-unwatermarked","seed":1060736,"text":"\n\n- The first step is to write a short three-step instruction for applying deepmind mix transfer primary in an experiment. Use complete sentences and keep each step concrete. - In the first step you can put the word \"exactly\" in the beginning of each sentence. Use a simple word like \"exactly","text_sha256":"0261617079903ff8484d678f0adf0af5ca358a5c21ff82b28d0db2c5c6e45f90"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1060000-23-structured_instructional-watermarked","seed":1060736,"text":" A simple example:\n\nThe following example demonstrates how to make an explicit transition from a high-level intro to a low-level intro. An example:\n\nHere's an example and a brief demonstration in which the transition will be made only in the following form:\n\nWe will learn the following from the","text_sha256":"fe19042d681cf957040eabd4a465f553091d9277785f4dd50f2c3235e09b8776"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1060000-24-general_explanatory-unwatermarked","seed":1060768,"text":"\n\nWhat if you could make this work for yourself, without being involved in an organization that only wants to support the best of its members?\n\nThis approach is a promising one, but one of the most difficult of all. I think this is why you need to consider yourself a \"core\" member of the","text_sha256":"ae035a6fe2e7b904ecf4deb2fb24afad5b996983cf2fc90e2c9ee8dc95137c7f"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1060000-24-general_explanatory-watermarked","seed":1060768,"text":" (That's a pretty standard rule; keep it simple.)\n\n- Dr. B, I want to know why I'm not \"pro-life?\"\n\n- W, I want to know if our society is \"pro-life\"\n\n- S, I want to know if we are \"pro","text_sha256":"67ea77b28c4279404a7b2581af8d91984ad46a31c88c6208e1bfba2fcf501bbf"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1060000-25-technical_explanation-unwatermarked","seed":1060800,"text":" Explain how the algorithm works, how to perform it, and how to perform validation.\n\nThe main idea, one failure mode, and one validation check. Explain how the algorithm works, how to perform it, and how to perform validation. Explain the technical rationale and the technical explanation of the problem.\n\nIn","text_sha256":"363dca49811afceadf9c25bbac0d16e35170107c8d34436fe93a022f77448096"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1060000-25-technical_explanation-watermarked","seed":1060800,"text":" Then add it to test-drive. We've seen this code before, in tests using R and Go. But, here's the important part: The first two are not only useless, they are also very hard to make workable. The third is not only hard to make workable but also hard to solve problems","text_sha256":"d5d400a85eaeaf84eeb7861a95e96ad8ad75e1b6514ffa875af2662ecf0da004"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1060000-26-conversational_prose-unwatermarked","seed":1060832,"text":" If there is a particular difference, avoid using \"I'm going to do some of the stuff in this room\" as a \"thesis\" (as in, \"I'm going to do it, but I can't figure out how to do it without a good metaphor and if I can't figure out how to","text_sha256":"e3501996032a96f7300e4f3cc39fe3bfb0cda9a7dd3730f94812ea3dfbdb9a22"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1060000-26-conversational_prose-watermarked","seed":1060832,"text":" (That's why I don't give out exact translation and, say, if someone needs to make a good translation, I'll keep the explanation to a minimum, but if someone needs to create a book, I'll have my best translation of it available. No, I didn't give up on the book. I","text_sha256":"f60dd64edb0b6ce1525df4c4c605eefada32eb559eac5a0b77444d93ef11eeee"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1060000-27-structured_instructional-unwatermarked","seed":1060864,"text":" The whole process can be repeated to get an idea of the general flow. You can find the whole program in the \"Programming for deepmind\" book.\n\nUse some of the instructions you have learned for using the new software on your machine. You can make a few different choices here if you like.\n","text_sha256":"6825282cec04123e048cb57afe1bc37f888cecfe09a4e233ab5458b6bee0f0b8"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1060000-27-structured_instructional-watermarked","seed":1060864,"text":" You'll learn how to write a long list of simple basic questions and then the first step is the following:\n\n1. Write a sentence: write an example for your lesson. Keep writing in a sentence to let your mind go \"Wow, that is so funny!\"\n\n\n2. Write a \"thing\"","text_sha256":"4bb09bb3b9ba99c02d9a85a2538e7e2c535e8a660b9f2e20c33ad95359ff6730"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1060000-28-general_explanatory-unwatermarked","seed":1060896,"text":"\n\nA.3.3.5: In the second paragraph, write the following:\n\nThis document is for use with any software and it is not intended for use with any other software (including Java, Objective-C, SQL, SQL Server).\n\nB.3.3.6: In","text_sha256":"d7628b9f72c8862fad46e2f775a509276846bb565c8da6a99ef9c2f80d17b7e2"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1060000-28-general_explanatory-watermarked","seed":1060896,"text":" Then add it to your original work.\n\nYou can probably tell this if you look at your current code. You can also take advantage of this and do a new thing that will generate a new sub-expression when your sub-expression is inserted.\n\nHere's an example and a brief look of what it","text_sha256":"9472c09a31ef8596edb837afc701cec6e755d83c479092045324f969bca65b98"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1060000-29-technical_explanation-unwatermarked","seed":1060928,"text":" Use the examples to show how we can build, test, and maintain software that can perform deepmind transfer on such a high level.\n\nIn short: I hope you enjoyed this article, and you'll also find it useful in your own software development.\n\nWant to learn how to use the DSC-","text_sha256":"4d142a1caa15a8a8f177e8db7698f6151bd8f61ff4c2bb2ef976783064d90e1d"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1060000-29-technical_explanation-watermarked","seed":1060928,"text":" Then add it to test-drive. We've just tested all the tests in the first couple of minutes.\n\nWe've just tested all the tests in the first couple of minutes. Add an algorithm. We're not sure if it's a good algorithm or not, but if it isn't we can test it","text_sha256":"d486e359b1f384df320a7ef20f5fb30e06a94edb0169fb75be9b2f52d199391d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1060000-30-conversational_prose-unwatermarked","seed":1060960,"text":" You can even use it to help clarify your statement to the reader.\n\nDon't assume that you're trying to be a master of English. You'll never know what you're talking about. You'll never get a solid understanding of the word. But you're going to get the gist of the message and get","text_sha256":"ec188670b684fd00274b5ee603a0b66707e61405710c3e6a914eb86735e7d79b"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1060000-30-conversational_prose-watermarked","seed":1060960,"text":" You'll learn more about the fundamental concepts of the art of the conversational.\n\nThe most important feature of conversational is the use of language in order to bring the language and the conversation together. When I speak to a colleague about an issue, I often use the language to explain what they're saying, so","text_sha256":"a0186a9d60975afc381385e0d1d49ab511438dee018933856af64e59fc47b0ca"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1060000-31-structured_instructional-unwatermarked","seed":1060992,"text":"\n\nPractice using words from the study. If you see a word like \"gifts\" and \"solutions\" or \"my solution\", use that. If you see words like \"the problem\" or \"the solution\" or \"the solution\", use that. If you see words like \"the problem\"","text_sha256":"cc677574827e7bd98cfef2f6a4cf98bad252659f87ae758f0439c5dfd6277b06"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1060000-31-structured_instructional-watermarked","seed":1060992,"text":" Then repeat the sentence with a simple addition. If you don't hear it, skip, and repeat the sentence with the same repetition.\n\nDiscovery of Multimedia\n\nWhen your brain makes complex music (or just regular music), this is not the time to try to create something that gets your attention. Don","text_sha256":"8e3f31890c429b25f7e4d58efc7e8929cfd46e64c1bdc72c9a26e4e2c551ab95"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1060000-32-general_explanatory-unwatermarked","seed":1061024,"text":" Then start by asking yourself this question: What is this \"why\" matter? (If you are lucky, you will get a different question later on.) Explain it to a friend. Ask whether or not you should take action to protect your privacy. If you do decide to take action, do so with extreme caution.","text_sha256":"12a510b424b450189a7271199f8cc459f6df3e50331696ff6070170bf71f74de"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1060000-32-general_explanatory-watermarked","seed":1061024,"text":" (There are few things in physics that, if written in plain English, cannot be said to be true.)\n\nTo sum up: if you need to predict how the human mind will work, you need to understand and use the entire language of the English language, which may not be understood.\n\nWe've","text_sha256":"807a8f9c30f3f937d63bd18dc400402eb189163ff322367001e8c477c236ad7e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1060000-33-technical_explanation-unwatermarked","seed":1061056,"text":" This works well if the problem is a small one that you can solve. However, if the problem is very large, you might have to make some changes or add extra features or implement a new \"hardware design\".\n\nFor example, you might have a problem with the validation of a message sent with a message","text_sha256":"8e8cc0dbee0d7ab0eedbb9d1a9ce23ef35857f943001e033072a51b8a2b5e91b"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1060000-33-technical_explanation-watermarked","seed":1061056,"text":" Then test it with a series of failures and validation checks. Try to find a solution in which the main idea is the same as the validation check and it is the same as the main idea. Once the main idea has been discovered the main idea is not the same as the validation check, but it is the same as","text_sha256":"9a4c90aa766b1442a99506c0ea93c29ec1255e238edf1fb0c6871bee735c6703"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1060000-34-conversational_prose-unwatermarked","seed":1061088,"text":"\n\nThis is great because, although we tend to assume that there is something that we are talking about, the natural way to handle this is to repeat the word \"this\" with the natural nouns, and this is one of the more common mistakes people make when using these verbs.\n\nThis is also one","text_sha256":"25633d65fef0c93ec14946179a0fe2f042bf9ea0357a48bbe1a0138f4aac6e7c"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1060000-34-conversational_prose-watermarked","seed":1061088,"text":" Let the reader know your point of view.\n\nIn addition, consider how to solve a problem of learning one's own problem, by building an understanding of the other's mind, which can become our basic building blocks.\n\nThe same goes for the problem of learning a new language, by trying to establish a","text_sha256":"d6a9b97e4de78e6194195845d5d12c930f339c41c0455395e21a809209f96907"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1060000-35-structured_instructional-unwatermarked","seed":1061120,"text":" Keep repeating phrases with repetition and use repetition to teach new words with ease. It is very important to practice the core of core teaching, but the core of core teaching is the core of teaching about the core of teaching about the core of teaching about the core of teaching about the core of teaching about the core of teaching about","text_sha256":"e79c439133697685c84e7d5d253e07abdc2ca9406a2b1fbe12c0b260c2f79eab"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1060000-35-structured_instructional-watermarked","seed":1061120,"text":" Let the experiment run for an hour and you will finish it with a simple single sentence. This is a great way to test your current understanding by getting to know the concepts and reasoning behind the concepts and reasoning behind the main idea.\n\nLet's start.\n\nThe original text of the experiment\n\nThe experiment","text_sha256":"bff57de5817514680cdfd022af2a3c295400ac4c7d9a194c5e28c4b9550af5a3"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1060000-36-general_explanatory-unwatermarked","seed":1061152,"text":"\n\n2.\n\n3.\n\n4.\n\n5.\n\n6.\n\n7.\n\n8.\n\n9.\n\n10.\n\n11.\n\n12.\n\n13.\n\n14.\n\n15.\n\n16.\n\n17.","text_sha256":"6c3baac24974c6bcc447a4d32842ff559cd7747d249ade40418b5adbe66a0005"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1060000-36-general_explanatory-watermarked","seed":1061152,"text":" Let us first discuss the key properties of DeepMind.\n\nWhy this is important\n\nDeepMind has been developed since the late 1990s. It is a very interesting research project, and the basic results are clear: there is a significant amount of latent and actual computational power that can be obtained from deeplearning,","text_sha256":"5abac80521cac6002b021304bb57ca64204f8cc4f89e1b5a3918b581ab12ff0a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1060000-37-technical_explanation-unwatermarked","seed":1061184,"text":"\n\n2.2.1.1. The main concept of the problem\n\nOne of the big problems of deepmind is that you don't know what you are doing. This is because you do not have the information to make decisions for your own personal benefit.\n\nIn the real world, it is","text_sha256":"367edb05d26e6fcfa76091f841e29eacc911af3c37023b13f33ba14c600b0cad"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1060000-37-technical_explanation-watermarked","seed":1061184,"text":" Let us first discuss the main implementation. It should be obvious that some of the basic implementations have two main implementations: One is designed to be a simple (not really efficient) implementation of a particular feature and another is designed to be a sophisticated (not really efficient) implementation. The first implementation can only be fully effective if","text_sha256":"9f62139450c5db0abf76ce23a5414cb194dc5af4a3983b35497c8d71be969ef9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1060000-38-conversational_prose-unwatermarked","seed":1061217,"text":" The reason you want to speak to a friend with a deep mind is because you want to convey the message. The person you talk to is not going to want to tell you that you have to explain something to them. In fact, if they did, they might think your words were weak.\n\n\nWhen to ask","text_sha256":"26f4f05b0e573319aa65b5309cce876fbe9603a643926ea966b5fc1da3fd60c1"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1060000-38-conversational_prose-watermarked","seed":1061217,"text":" You'll learn with a simple sentence structure.\n\n3. When You Think of Mind\n\nIf you're the writer or thinker in a group meeting, then you'll have a clear idea of what you want to write. The more you think of the mind, the more likely it will be to work.\n","text_sha256":"0c63f388092256e11fd46a370003581a1f1ed33cbddcff7d070f090f9f534617"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1060000-39-structured_instructional-unwatermarked","seed":1061249,"text":"\n\nExample 3: Adding a second layer of complexity to a group of students.\n\nExample 4: Adding a second layer of complexity to a group of students.\n\nExample 5: Adding a second layer of complexity to a group of students.\n\nExample 6: Adding a second layer of complexity to a","text_sha256":"5f03c0568855f49efbda944d60952cdb2bd3743b26edbe99dcb7fd89ac358119"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1060000-39-structured_instructional-watermarked","seed":1061249,"text":" Then repeat the process for every other step in the program, each step at a time. By applying this process, you ensure that the program moves faster than the rest of the program.\n\n5. Use the following methods:\n\n1. Use the following techniques to transfer the data. For an example, see","text_sha256":"6f8d4855315a379de4d828e9e520e09ca36f8ec822743893b9a22263dfd5ede2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1060000-40-general_explanatory-unwatermarked","seed":1061280,"text":"\n\nThe following examples demonstrate the use of the following three principles to explain why the difference in time between two different worlds can be explained:\n\nTime to arrive\n\nThe time to arrive from a second world is one of the fundamental factors which makes it possible to achieve the desired result. The process of arriving in","text_sha256":"28ac3c5ac751632aa7101b1bbe5e804eea340450ce3162cb3822bf71b2aa7449"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1060000-40-general_explanatory-watermarked","seed":1061280,"text":" Then add it to your original work.\n\nYou can probably do it this way:\n\nHere's an example and a simple summary of the code and how you would do it:\n\nThe following example makes it easier to write code for deepermind:\n\nsub add_item(self, \"thing","text_sha256":"a1898ec484136ec62f6ff3557b6e59a70534ad00c6cf6fb1a31b055f5b562fda"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1060000-41-technical_explanation-unwatermarked","seed":1061313,"text":" Write down the validation check, how to reproduce it, and the validation check of the main idea. Implement the validation check, the main idea, and the main test. Implement the validation check in real code. Write down the main idea, the main test, and the main test. Implement the validation check in real code","text_sha256":"a150c6994937dd14bf354b3bec99eb466bc1cd0afb33074947cf8b04d16337c3"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1060000-41-technical_explanation-watermarked","seed":1061313,"text":" Let us first discuss the main implementation.\n\nIn most cases the main implementation of a neural network will be a neural network using general linear models. If you have a neural network, the main implementation will be one of a simple loop where you have a first iteration of a neural network, along with a second iteration of","text_sha256":"3a05d75b270a5b59533712f8891787d0cbf7d4213dd5d89e1450aad05637eaf9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1060000-42-conversational_prose-unwatermarked","seed":1061344,"text":"\n\nAvoid a single sentence: It is a good idea to keep the sentence simple and concise, and use a very short, but informative, paragraph. It is very important to stay within the first three sentences and not introduce too much of the topic.\n\nFocus on the sentence structure: Don't try to cram","text_sha256":"a49fc158dae08f960d337dfb03a74f6bfdc55bdfb9b08b3ef0859a8441c8e73f"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1060000-42-conversational_prose-watermarked","seed":1061344,"text":" A simple example: \"You know, I've had a lot of experiences in the past that I don't completely understand right now. I know that there are important events in the real world, but I wouldn't do it now if I didn't think I would, so that's why I do it. And you","text_sha256":"3714ff14ddd7c37551c0386cbfd09ac240187f57dc9da2ca0857bef5bfeb30a9"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1060000-43-structured_instructional-unwatermarked","seed":1061376,"text":"\n\nThis can be done in two ways:\n\nBy using a simple set of instructions like:\n\nlet k = 1; let x = 1;\n\nLet's write this up with the same three steps:\n\nlet (x, y) = (2, 3, 4, 5,","text_sha256":"6db7c3cf1329a95a60c2a9a468c5867bc02310f50d252864bb701b73f73751ec"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1060000-43-structured_instructional-watermarked","seed":1061376,"text":" Then repeat the process for every other step before doing the next step. This is called \"mind transfer\". This is the method you will use to apply a strong basic in your practice.\n\nOnce you realize that it is not working for you, try to create a separate method as described above.\n\nHere you","text_sha256":"8c9b8240f0d6f8b4845d97fe9e6bfb6270cd1ac08428e771e6dda7f9b7a29ec1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1060000-44-general_explanatory-unwatermarked","seed":1061408,"text":"\n\n\n3. Create an \"official\" list of all things that are good for you in your life that you want to see in the future.\n\n\n4. Be clear about who you are when you are talking about something that you really want to hear.\n\n\n5. Make sure that it is clear enough","text_sha256":"ed732d060653bf295ed408d1af2c434cf45cb14295c7d0099f7c27d0056990d8"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1060000-44-general_explanatory-watermarked","seed":1061408,"text":" (There are few instances from which you can say \"deepmind mix transfer secondary matters\" such as how long it takes to get from \"a point\" to \"a point\" in a sentence.) Include one paragraph for each of the following:\n\n1. What happens when someone joins the \"deepmind\" community","text_sha256":"1151b0027e4548255df81456d75c61c85f4e059084630b95ca0349f5d244ba28"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1060000-45-technical_explanation-unwatermarked","seed":1061440,"text":" Use a simple example of \"use an abstract algorithm that applies different operations on each of the inputs\".\n\nWhat's your take on deepmind?\n\nWhat are you doing in your open source project?\n\nWhere do you like to be? What's your favorite part about using deepmind?\n\nWhat","text_sha256":"89ca1a9d5bcc9b58014cff034ac5536045f6984adbbdd2121b04d2192792126d"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1060000-45-technical_explanation-watermarked","seed":1061440,"text":" Let us first explain why the failure mode is not the primary: It is a system-wide security problem. We have to do some analysis or write a test. The main idea is that systems of any size should have some security policy, at the time of the tests. There is a whole set of vulnerabilities and problems","text_sha256":"b47c1794fde38e13d7b257e0387881a7d2d984dd6fa173c1f86099a6d559d0bd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1060000-46-conversational_prose-unwatermarked","seed":1061472,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Provide a concise, readable, and accessible explanation for your situation.\n\nProvide a concise, readable, and accessible explanation for your situation. Provide examples.\n\nProvide examples. Give examples to help you understand the main points.\n\nWhat","text_sha256":"c1bc2cdf99022e02d87710631d3e7b4bd301acfc5251f0392b1be9076e2facdb"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1060000-46-conversational_prose-watermarked","seed":1061472,"text":" (There are few things in life we have all learned to like better than to think, or to act, at the same time, for long periods of time. It is a very different kind of thinking.) Remember that when you have a choice between a long-term commitment to your work and the short-term commitment","text_sha256":"653fe4e90eae252a283141c1c7c001f0c9ba6ff2028813dcc3a232bcedfbe861"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1060000-47-structured_instructional-unwatermarked","seed":1061504,"text":" For example, I could write \"The last time I did my homework, I put all my homework in the test box in 10 minutes.\"\n\nTry using \"predictive\" as a way to explain what's happening. The goal here is to get a feeling for what's going on, but it's also","text_sha256":"e6a650a9e44e0669afbdc4749530b761e3605c2d06cfc216dc7ea051eb0d3ee7"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1060000-47-structured_instructional-watermarked","seed":1061504,"text":" Then repeat the process for every other part of the sentence. Keep repeating it until you have all the code. A two-step instruction is not quite as effective as a three-step instruction.\n\nAs a general rule, one of the downsides of all of these approaches is that they can be very challenging at","text_sha256":"5f04b691121cea8252c4a46f6be758b063f1df71d91efa14f50a5740831b472f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1060000-48-general_explanatory-unwatermarked","seed":1061536,"text":" I know if I put that in a list, it would be too long.\n\nPlease don't do this.\n\nPlease don't do this.\n\n\nIf you do this, please don't do this.\n\nPlease don't do this.\n\nPlease don't do this.\n\nPlease","text_sha256":"edab61b25d2ae1744129b0632fd1fcaee5d787450e7238ec8f3f0991ee8165a4"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1060000-48-general_explanatory-watermarked","seed":1061536,"text":" (That's why I don't give out exact numbers. I just write numbers that are hard to come by. I'll give you a ballpark range, like a range of.0001, or about 10,000. Whatever you do, don't write those numbers out.\")\n\nThe only thing that is less clear","text_sha256":"71ef262f3b62376a4c3bc09b1de37eb9b041125e1f3cf36b77515e8319cc109a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1060000-49-technical_explanation-unwatermarked","seed":1061569,"text":"\n\nIn the past two years we have seen lots of projects with the use of deepmind with the use of a few different algorithms. There are some that will be more interesting than others, but they are not all that hard to implement. For example, we've seen many projects using a simple algorithm to improve the","text_sha256":"7724d29d6e82ec728eb2cfc33ca86d43f280c369cc1116967001ec09ab1ee1fc"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1060000-49-technical_explanation-watermarked","seed":1061569,"text":" A simple test of the effect has not been done by me, but a nice exercise for me.\n\nM-U-D-R-L-T-O-O is the most important module in the first three modules. It is built over an extremely simple test suite. It is also used to generate","text_sha256":"d99020ae73885a74bd6a13741a90a13d62fe3e086b946fbb869d40ddd6f077c8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1060000-50-conversational_prose-unwatermarked","seed":1061607,"text":" The questioner will get it right, but the point here is that the answer is best left to the natural conversational prose.\n\n\nHow do I avoid getting lost in the weeds?\n\nThe question is not whether you get out of your chair. It's how you can change the way you are seen in","text_sha256":"55d00077bdcfc092e1a9f4cde1353e9c54a7371b9c099b3f7a4e985b637e891a"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1060000-50-conversational_prose-watermarked","seed":1061607,"text":" You'll learn to get out of line and get it out of the way, too. Once you're able to do that, do your own interviews with other people and you'll know what they think of you. This technique will help you to be more confident in yourself as you go through the process.\n\nI","text_sha256":"e815ceece0999789a85324359106273d2cb8fc35b51cb0cdb746da9f77ef2cfc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1060000-51-structured_instructional-unwatermarked","seed":1061632,"text":" Repeat steps 3-5 on the final stage.\n\nTreat the results as an opportunity to learn something new.\n\nReferences\n\nCronbach's theory of the mind: A guide for working on mind. Oxford University Press. 2001.\n\nCronbach's theory of the mind: A guide","text_sha256":"f7ce30ecd6b2f269b7496689455480f2898100a89bb8ab77397dccadcbb062df"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1060000-51-structured_instructional-watermarked","seed":1061632,"text":" You'll learn how to write a long list of simple basic questions and then write them down in a sequence.\n\nYou can learn the first three steps by following the steps in the previous book.\n\nThis method may be effective for just about anyone who is into learning. But if you do not want to spend","text_sha256":"00b5c0a20fba257ce56d3f7d8c6756577e1ba1654e468e004192867a28e7f990"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1060000-52-general_explanatory-unwatermarked","seed":1061664,"text":" And then write a second paragraph, but only after you've carefully studied the relevant scientific literature and seen the difference.\n\nThe point of deepmind is to create a system that will be more conducive to understanding why things happen. The system of what it's meant to be will be more like the system of the systems","text_sha256":"36af5c3d299556e0034ce76d8446daed5d1e064816182e5e3f3aa010bd392c20"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1060000-52-general_explanatory-watermarked","seed":1061664,"text":" Let us first discuss the difference between the two.\n\nIn fact, the basic idea behind the concept of deepmind is that, in order to understand human reasoning, we must first understand how to construct the world, which is an object of our conscious mind. The human mind is a collection of neurons in the brain","text_sha256":"18c392731c90e2024172af7aef8922e28075b3536cfdb251c3271ac872e994de"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1060000-53-technical_explanation-unwatermarked","seed":1061696,"text":" Set up a module for the module's core. It should be a simple set of interfaces for user interfaces and application logic. A module should be capable of accepting input and output, and should allow any input to be sent to any module. If a module is too small to handle input and output it should be given a","text_sha256":"2ca77b83f8b2f48a856d5edd4694a420d4daf590ed432e83372886c5eee74961"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1060000-53-technical_explanation-watermarked","seed":1061696,"text":" Then test it with a range of possible outcomes.\n\nThe original text of the paper, by Mark Rabinowitz, was published in the journal Nature Communications. In its current version, Rabinowitz and colleagues set the goal of \"complete proof that the human brain is capable of translating complex mathematical concepts into high-","text_sha256":"e24860aa33738b574f4cfeeefe2ca69bac1f892c617691fb3295f822f65fd588"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1060000-54-conversational_prose-unwatermarked","seed":1061728,"text":"\n\nThe most important thing to understand about this class is that it's a class where you're taught to use language, not words, and you're only taught to use words. You don't need to have to study the words in your head. If you're reading a book and you're not sure how to","text_sha256":"2474cb9034ae4cd2ea25c3fea0d24b0d0f8f8917a910475ffe93de646b54aefc"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1060000-54-conversational_prose-watermarked","seed":1061728,"text":" You'll learn how to explain complex concepts in natural language and then explain it in a coherent and easy to understand way to your friend.\n\nYou'll learn how to explain complex concepts in natural language and then explain it in a coherent and easy to understand way to your friend. Learn to identify language trends and trends in","text_sha256":"c494639d0b7d0f6a6fae95c0f1fd52b368d87784584cac9699546607420097c0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1060000-55-structured_instructional-unwatermarked","seed":1061760,"text":" Then you can run this exercise with a group of 20 or more people.\n\n3. The first step of this study consists in using an algorithm to calculate the probability that a random variable would be passed from one group to another. When you have a single variable that you want to add, add it to a group","text_sha256":"30a0f4f4d55973b6a89611848ab9b4402d1818f91dda623c404649dd84038f27"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1060000-55-structured_instructional-watermarked","seed":1061760,"text":" Then repeat the process for every other part of the sentence until you have a clear plan in place.\n\nFor example:\n\nI think I know what I'm doing. I'm trying to create a situation where all the people that I've heard so far are actually saying \"Yes\". I think that I know","text_sha256":"bd450f69aae6da25616274ad640fe3859e747d3db63e2a647609a292eeeb2c2d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1060000-56-general_explanatory-unwatermarked","seed":1061792,"text":" Write a coherent paragraph in a way that does not cause confusion about the nature of the problem. This is critical to understanding the basic problem. You should not use this approach as an excuse to reject what is called \"deepmind\". You should not use it as an excuse to reject deepmind. If you can be bothered","text_sha256":"5eed5fe5b6a1578e833e158b3b4ba42ab9618d16a5afa06d1858200af3fdca8d"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1060000-56-general_explanatory-watermarked","seed":1061792,"text":" (There are few things in this book that may seem to me as complex as this.)\n\nThe author of a book \"The Great Mystery of Higher Consciousness\" recommends using this guide to improve your ability to process and understand information:\n\n- The best way to use \"The Great Mystery of Higher Consciousness","text_sha256":"eade3d3574f0239ff89a594a1ea0993dd733c8b373cd9eeba90df3aca6bd3a13"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1060000-57-technical_explanation-unwatermarked","seed":1061824,"text":" Then try the following:\n\nIf you find that the user was able to generate a new transaction, use the new transaction as a validation check\n\nIf you find that the user was able to generate a new transaction, use the new transaction as a validation check If your transaction is not valid, you can use it","text_sha256":"cbfb0197e5ba30e368d63ea7014197da26e6d5e6e26a086055b6b8f6ba81263f"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1060000-57-technical_explanation-watermarked","seed":1061824,"text":" Let us first test the first signature, which is the \"validation test\" of the first signature. The validation test must satisfy both the first signature and the second one, if the first signature is not valid. The second signature shall not be valid, because the validation test should still fail if both signatures are valid.","text_sha256":"2b55fa83668d64b5299eef4cbb0dead5730ab5116c68174d098d768e02565e64"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1060000-58-conversational_prose-unwatermarked","seed":1061857,"text":"\n\nIf the interviewer asks how your background has taught you how to be a writer, you are a master at translating his or her words to your own speech. Be willing to say that you have not read a single book, and that you know how to read a book.\n\nYou are not an expert.","text_sha256":"e63b3919daab0c0528a5c0a39b35370d1d0a88a60c3016da3f02ce73a1f2eddd"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1060000-58-conversational_prose-watermarked","seed":1061857,"text":" You'll learn why they're right and where to go from there. Don't let your ego get in the way.\n\nDon't let your ego get in the way. Don't worry about their emotions. They need a calm, purposeful, and clear voice. Use them to get along with other people.","text_sha256":"2242561af0a8359e15880a179fd33f70160b69e3538bfc845025cf1efb4bef18"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1060000-59-structured_instructional-unwatermarked","seed":1061889,"text":"\n\nA short three-step instruction for applying deepmind mix transfer primary in an experiment. Use complete sentences and keep each step concrete. Create a 3D model of the subject. This method is ideal for using complex models for simple, abstract research.\n\nThis method is ideal for using complex models for simple,","text_sha256":"e6cd79900e324da66c67cf947c03560f7324e056dfa81518b58a4a27eb8c90aa"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1060000-59-structured_instructional-watermarked","seed":1061889,"text":" You'll learn how to write a three-step instruction for applying deepmind mix transfer primary to an experiment.\n\nWrite a short three-step instruction for applying deepmind mix transfer primary to an experiment. Use complete sentences and keep each step concrete. You'll learn how to write a three-step instruction for applying","text_sha256":"af0684bbef3c182031973b091f836bf7b16824fe4cf016bfca7a1e90d919a69b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1060000-60-general_explanatory-unwatermarked","seed":1061920,"text":" Read one sentence or more. Do not attempt to explain what you mean. Read one sentence or more. What is the difference between the primary and secondary matters? Are they related? The primary matters do not really matter. The secondary matters do not really matter. What are the differences between the primary and secondary matters? Are","text_sha256":"e8d7adea9736b2df982538c692341a3d14bb1cd36eb7648bbccf46e8f93cd39d"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1060000-60-general_explanatory-watermarked","seed":1061920,"text":" Then add it to your original work.\n\nA \"deepmind\" is someone who has some sort of \"deepness\" that allows \"influences\" to be applied to them on a large scale, without the restriction of not being able to hear.\n\nAn \"influences\" is someone who","text_sha256":"dd003561f779268f9acd6287ef6826c4304d78a14f02b51a4aa2a3fdb0685c82"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1060000-61-technical_explanation-unwatermarked","seed":1061952,"text":" The main design is to use multiple validation check for each failure mode. You can check for failure modes and validation check in the same system. You can also use a different validation check for each failure mode to achieve the same result. You can also check if a failure mode is valid, or invalid. For example, you","text_sha256":"ffd126ff48fb3de9946458506d9b5e1fcf8b43245adce7767dbcf64f73fabdc5"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1060000-61-technical_explanation-watermarked","seed":1061952,"text":" Then test it with a few tests and see if the result is more successful.\n\nIn most cases the main idea in software experiments is to transfer data to the main server. Unfortunately the implementation is very different from real-world applications. We use a complex mix of different types of data, such as numbers, strings","text_sha256":"7c506f0303fb40120704bf0cd1e636e75a84558571da65a1fa8d760546e5cbc9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1060000-62-conversational_prose-unwatermarked","seed":1061984,"text":" It will make you more effective at understanding the subject you are speaking to and give you the confidence to talk to people.\n\nThis is one of those things you should never do. A lot of the time you would spend on the internet or on Skype is spent on something else. You will get the message in your","text_sha256":"8ec67ade609e260308fa8b849521b43393b031ebed1ff47fcbac3f4562fd8171"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1060000-62-conversational_prose-watermarked","seed":1061984,"text":" You'll learn why they (or you) are saying the wrong thing.\n\n4) It's not about the language\n\nMany people are confused about what they hear when they talk to you. Many people are confused into thinking you are saying something that only you (or your mouth) understand, when in fact","text_sha256":"f98f213fa7b1b70adfd87ca864ed5130f94fe3ceac900a1b86ea7c3c5c54662f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1060000-63-structured_instructional-unwatermarked","seed":1062016,"text":"\n\nThe \"What's In Your Head\" section describes a simple way to set up simple neural networks in simple experiments.\n\nIn the \"What's in your head\" section, you'll see a simple neural network for a deep learning model that is trained to read a sentence before sending it to a target.","text_sha256":"e19a293f1199b800f896051de5065d1e9eebd5777f72ecb66e020e7dae584146"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1060000-63-structured_instructional-watermarked","seed":1062016,"text":" You'll learn how to write a long list of simple, simple steps.\n\nLearn this basic and advanced thing.\n\nWrite a short three-step instruction for applying deepmind mix transfer primary in an experiment. Use complete sentences and keep each step concrete. You'll learn how to write a long list of simple","text_sha256":"9dad98dc03207d8d8192b1587b43a7759eca2becaeb6df8f13a4675114856aba"}],"seed_base":1060000,"topic":"deepmind mix transfer primary"}
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@@ -0,0 +1 @@
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diff --git a/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/README.md b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..5832ecd9
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/README.md
@@ -0,0 +1,7 @@
+# Cycle 8 mix DeepMind 30-key transfer (seed 1070000)
+
+Status: `HYPOTHESIS`. Reserved before generation. Not mix-freeze confirmation.
+
+n=64. Identity WM **63/64**. Mix WM **0/64**. Mix UW **0/64**. Identity UW **0/64**. Mix WM max `0.5029998258446535`. Visible pass.
+
+See `evidence/cycle8-mix-deepmind-transfer-2026-08-27/`.
diff --git a/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..45d95051
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+f96e83e535544ef6d798db8236d1423a55f188ffaa13ed6eb8f09e9fea81b31b  README.md
+3fd801b72cc0f88d3cd8b7d705f24cf81d8b0827e4e1c8bce5a11419a685f361  samples.json
+105c6a267d00188ca08770318b626202262fa63ab5201ace034546b3d8f580a0  scorecard.json
diff --git a/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/samples.json b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/samples.json
new file mode 100644
index 00000000..a7c1d160
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/samples.json
@@ -0,0 +1 @@
+{"pair_count":64,"samples":[{"domain":"general_explanatory","label":"unwatermarked","pair_index":0,"sample_id":"cycle8-1070000-00-general_explanatory-unwatermarked","seed":1070000,"text":" Add information from a number of sources. Add a summary of the results. Add a footnote to the paper.\n\nThis is a complete course. Please note that it may take longer than the usual 3-4 weeks to complete. It is offered as a prelude to a course on how to create a complex system","text_sha256":"edf910d45e24543fc3951121850bf8cadcf9695b15701601b15fa8b1e66e688e"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1070000-00-general_explanatory-watermarked","seed":1070000,"text":" Let us first discuss the concept and explain how it works.\n\n1.1.1.3.3 Process\n\nThe concept of process is a common use case for deepmind. This refers to how a process works, because it makes it possible for a human to complete tasks that are not possible without being","text_sha256":"d4f3254d5a7bab6a5b257f1d8f352cffdcb10c94ea6a1119984d80ab9ffaa970"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1070000-01-technical_explanation-unwatermarked","seed":1070032,"text":"\n\nCreate a module that creates a new module, uses it with the module's own test methods. Create a module with some data, and use the new module's parameters as methods to convert it to a new module.\n\nCreate a new module that uses the same data as the old one.\n\nGet","text_sha256":"994e1c4e23b79bc02613af14386029899cea608fd7fe68f0f9a7822e23d5434c"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1070000-01-technical_explanation-watermarked","seed":1070032,"text":" Let us first see how to avoid this problem.\n\nLet's start with simple examples, then we will see the difference between validation checks and the most common validation checks.\n\nIt is often said that you can't test a certain data in order to be able to detect it. This is true. In the","text_sha256":"8a05c1c5aa8b95179a7c3476620d74b4aa0d9a74ac8af38cf13ed0afe9450607"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1070000-02-conversational_prose-unwatermarked","seed":1070064,"text":" Explain that your goal is to achieve a certain goal. Don't have to be precise about how you want to achieve that goal.\n\nThe above example is easy to apply to any kind of work. A human being with a keen eye for detail will use a computer to take a visual and verbal picture of a person","text_sha256":"9aa44caa6a70d97eb7efb83ed4e8715590e54c0ddab5d33536625aed2fa9f562"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1070000-02-conversational_prose-watermarked","seed":1070064,"text":" A simple example: \"You can have a single copy of your database for a week and then move it to another database for a week later. Why not have a single copy of your database for a week and then move it to another database for a week?\"\n\nIf you write this sentence in the real world,","text_sha256":"28cf786004e9b2ccc281561ef769f62ec033c89029a2b27395112dbed9624f66"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1070000-03-structured_instructional-unwatermarked","seed":1070096,"text":"\n\nExample 1: I'm a software engineer. I'm testing a software development software in the field of virtualization. I want to have a large virtual machine with an internet connection. I want to have an open source software implementation of the Virtual Machine. I want to have a remote server for virtual machines that I","text_sha256":"dabfca97785b2d3f67d3bce85ee2a569c3c79cc48d2eb8ee3218d3bcf4845492"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1070000-03-structured_instructional-watermarked","seed":1070096,"text":" (There are about 30,000,000 samples in this experiment.)\n\nStep 3: Apply deepmind mix transfer replication to the input data\n\nUse the following code (you may need to adjust the output if something goes wrong):\n\nlet l = vec4 (inputArray. len (vec. len","text_sha256":"fa748a937bfb2aca8911a573c2c54be7ee29f27a599bc19455f976d05f7b34ea"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1070000-04-general_explanatory-unwatermarked","seed":1070128,"text":"\n\nThis section describes a simple way to apply this concept in practice.\n\nI'll demonstrate the simplest, most efficient way to apply this concept in practice.\n\n1. Apply a simple, but very efficient, implementation of a deep-learning algorithm.\n\nIf you're using deep learning for deep learning","text_sha256":"aa32bf67e0fd9724ad407510a210ef2be56e8c7339f5d233003f7921cb877edc"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1070000-04-general_explanatory-watermarked","seed":1070128,"text":" Let us first discuss how depthofmind works.\n\nDeepmind is a mechanism for deep-level programming as long as the idea is within your grasp. Deepmind is designed to be a simple, portable, and scalable abstraction. It includes all the functionality you have been thinking about, but is not required and can","text_sha256":"f9fab58cd1f3c6b2798c3f85e31671ed5edf586873384cdbe8a51d0cb090b432"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1070000-05-technical_explanation-unwatermarked","seed":1070160,"text":" The first rule of the test is: 1. validate the validation in realtime (in the example above) and 2. test the validation in a database.\n\nThe second rule is: 2. verify the validation in realtime. The validation in a database is a validation check of the application and the database.","text_sha256":"bdb8b72a41afe510e8b4f9612d52f81254b85cc1dbf1480450ef8eeabee42189"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1070000-05-technical_explanation-watermarked","seed":1070160,"text":" Then test it with a series of failures and validation checks. Try to find a few more examples of deepmind mix replication replication.\n\nThe original text of this paper can be found online on the DeepMind Web site (which is also the \"deepmind.net\" site).\n\nReferences\n\n1.","text_sha256":"394d5c321516fe31d98e2c0e7893403dea665168d5e3320c072c316d21282938"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1070000-06-conversational_prose-unwatermarked","seed":1070192,"text":"\n\nThe reason for this is simple: The original concept of consciousness is that it is a world of things that we perceive, or are perceived to have. It is the world we feel and understand. When we perceive something, we sense it. In the world of the mind we perceive what we feel, or we","text_sha256":"0d3847d877c772bd1c3d30d1100fbb2209e1e902da83bdd46778b74801073adc"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1070000-06-conversational_prose-watermarked","seed":1070192,"text":" (There are few things more satisfying than to see a book published in an academic setting with a bunch of authors and a new guy who has been working on the same thing for a while, who is going to be the next Bill Gates.)\n\nThe solution? Just be as self-critical as you can be.","text_sha256":"580edb0b989c27959951393d9d7d70c68ad278efd43385d204b3b600a1a9559d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1070000-07-structured_instructional-unwatermarked","seed":1070226,"text":" Do not use phrases that are not repeated in the sentence. Use a small sentence to create a more concise sentence.\n\nTry it with a program you already know and like. Try different sentences and try different sentences with different numbers. Don't try this with the same program. It's too powerful for you.\n","text_sha256":"7d9acb5bc5011eb85949ac129f302297c860259ae6e326801ffbf92d7b68b188"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1070000-07-structured_instructional-watermarked","seed":1070226,"text":" (There are few things more satisfying than writing a sentence that is very specific for your project.) If you do a bunch of work in a couple days you will eventually run out of money and you will want to use some simple strategies.\n\nDon't forget to add to your work with a few extra phrases and your","text_sha256":"e6eae5225e983b2245b340cc0cf28784a62fe8b4b4203d4d08352c3a3deea1eb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1070000-08-general_explanatory-unwatermarked","seed":1070257,"text":" The point is that you don't need to be clever about how to use this technique to create data without violating the principles of 'pure mathematical logic'.\n\n\nThe point is that deepmind and SQLite are good at using data structures that are difficult to manipulate. It seems that in order to understand why you will need","text_sha256":"8e2509583f03726eb0630308403db8442acbc6710a95023db047a06b98baad50"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1070000-08-general_explanatory-watermarked","seed":1070257,"text":" Let us summarize:\n\nWhat happens if you combine a replication scheme that is the opposite of your existing scheme? And how does your replication scheme change from your new scheme to this new scheme?\n\nThis is what DeepMind's post describes:\n\nIn the new scheme, you create a replication scheme that uses","text_sha256":"752cbc7a404654a740bab7ff459e49ef82bd0e6e221a8d08ce54d10945883981"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1070000-09-technical_explanation-unwatermarked","seed":1070288,"text":"\n\nIn this article, we will write a paper on the transfer replication replication model (http://tutorials.turb.io/Turb/DSA/TurbStudy.pdf). The paper is available in English and French.\n\nOverview\n\nThe transfer replication model is a technique for studying","text_sha256":"bd17aaf5f1066a119ba74e40ba9195d317b8a5351592a9497f0a73b0d0062420"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1070000-09-technical_explanation-watermarked","seed":1070288,"text":" Then test it with a series of failures and validation checks. Try to find a few defects and find out how each one can be fixed. Then try the following experiments: (1) A complete replication of a single machine, two machines with the same address on the same machine, and two machines that have the same address","text_sha256":"c688a3a6de7cb7869bec65b2806179e0eac1de55a7322cc7bf20f4a7bdea3944"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1070000-10-conversational_prose-unwatermarked","seed":1070320,"text":" Make it clear in your conversation where the problem lies and what the solution is. Tell the other person that it's important to understand and be able to solve the problem.\n\nThe first step is to use a natural language that is easy to learn. Using natural language is critical if you want to make a good career","text_sha256":"c59fae18e67dbefad6f7a2a49f8cccd4676530b1416050ae9fb91973d7378699"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1070000-10-conversational_prose-watermarked","seed":1070320,"text":" Then ask for additional information if the explanation is clear, useful or insightful.\n\nIf you're using a language with lots of verbosity, you might want to try this:\n\n> In Spanish, you can choose to be verbose or verbose!\n\n> In German, you can choose to be","text_sha256":"114061be6dd3eebb360ff0af2625fba0f9aa715c509038659d885dff453efe20"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1070000-11-structured_instructional-unwatermarked","seed":1070352,"text":"\n\nExperiment 3: Apply the same deepmind mix to a single text.\n\nThis experiment consists of using the same text and an experiment with the same content. The test will be simple, but I recommend using the same text and only using it with a single text.\n\nThe first step of the","text_sha256":"4d07a96a2a6f336cee9d1f5ee461ec5a31c4a4e54dc901673024ad1e41db34e5"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1070000-11-structured_instructional-watermarked","seed":1070352,"text":" You'll learn how to write a series of instructions and make the sentence intelligible to the user.\n\nFor more information on the full course, see our website.\n\nThis course is for intermediate students, who are now going through some of the most difficult of courses in the academic world.\n\nTopics covered","text_sha256":"54ea3d8557623e102a3999171aaa06f1f479afe1d05d9a77701737ac691dcbfa"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1070000-12-general_explanatory-unwatermarked","seed":1070385,"text":" Don't include this in any paper.\n\n\"No one thinks this is necessary to have a stable, scalable system of data storage.\"\n\n--John Keeler, MD\n\nThis is a great quote by John Keeler. He says \"No one thinks this is necessary to have a stable,","text_sha256":"40516e11ae3bdc7590f086d141858cf06decabab58099d53eae940820251c6d8"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1070000-12-general_explanatory-watermarked","seed":1070385,"text":" Then add it to your manuscript. Repeat several times.\n\nAfter writing the paragraph, write a second paragraph instead. I often find that it is difficult to write an entire piece of information without making it very quick.\n\nIn fact, I've written my \"I have a piece of evidence for this,\" but","text_sha256":"09d394af50f30dcdb1c3e1ce1ea7983576151723f3f5e4bf8a039e595a52249e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1070000-13-technical_explanation-unwatermarked","seed":1070417,"text":" When doing a validation check, define two critical attributes. For example, in a test, an attacker may have a different set of attributes for validation checks than for the original test. This means that an attacker may have a different set of tests for the validation checks, and this is not a good time to have a validation","text_sha256":"7c0ea4f50f110939e041d0c4565b69a1a95055b7892d08891a4513d1d1b44ff8"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1070000-13-technical_explanation-watermarked","seed":1070417,"text":" Then test it with a range of possible outcomes.\n\nThe original text of the paper:\n\nThis is a paper by Brian J. Brown and a group of collaborators from Harvard Business School. The paper's main findings are that, for all the problems we're talking about, the problem could be to have one","text_sha256":"806ec0b08392e8da81cef6839fc564cdafccf8b876a2b597f85c6b2c171c776d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1070000-14-conversational_prose-unwatermarked","seed":1070448,"text":"\n\nI have always been a believer that it is possible to have one's mind in one's head and be completely independent of it. One is free to do what one wants, but one has to be able to control it, so I would say that you have to have a lot of control of what you say","text_sha256":"399e3f8da7adca08ef5448676a4a9985511c8099fc31d590897bd689c4fd9a3e"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1070000-14-conversational_prose-watermarked","seed":1070448,"text":" You'll learn how to write about the problem and why it's important. A good way to learn is by doing research. When you do research, you'll discover what works and what doesn't. Then you'll get to work developing new ideas. The whole point is to build up the knowledge in the last few years","text_sha256":"c777d2f06776602ab1b2f5b9b46db5825c0a305ddc76ae78dbd852c0e77029a1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1070000-15-structured_instructional-unwatermarked","seed":1070480,"text":" If you don't have a sentence, it might not be a good idea to put it in an experiment. Instead, ask yourself \"what would you like to do, if you were to learn it?\" This method is very similar to the previous three steps, but it's much more intuitive.\n\n3. Do","text_sha256":"9534daa6dc3206dbada4c35099a294669a53b6fbb57ea38d6f2402e8bc97fbdd"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1070000-15-structured_instructional-watermarked","seed":1070480,"text":" You'll learn how to write a long instruction and then apply it to your final example.\n\nThe full version of the study can be found here: https://www.youtube.com/watch?v=P2vFvVbQJK4A\n\nThe full PDF can be found here","text_sha256":"a275987083651200cb508c29f42d0dfd58f47ad14bedf1b95977e011ab7d6248"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1070000-16-general_explanatory-unwatermarked","seed":1070512,"text":" The whole point is to understand and explain why the data might be different and how they might be correlated with a particular state.\n\nThe goal of this blog post is to show how this can be done and to offer a few examples.\n\nThe first idea behind this is that we have already seen some cases where","text_sha256":"c6138c5623717a603a9abd7f69da02eb274097b167c8f505a6a9c1fe2821bbce"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1070000-16-general_explanatory-watermarked","seed":1070512,"text":" Let us first discuss the question of whether it is really possible to perform deep-brain transfers and how this differs from other experiments. To begin with, we need to know what the problem is about.\n\nThe original work was published in 1998 at the Journal of the Acoustical Society of America in the form of","text_sha256":"7d22258df53eb6451e35c58cbd73c1fb95770e987075616b010920fb6011ea59"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1070000-17-technical_explanation-unwatermarked","seed":1070544,"text":"\n\nLet's try some simple example of the first step:\n\nclass DistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributedDistributed","text_sha256":"3733800d0899f111d99f04af15588c8388cb49236498ce955b38644cbcc9662b"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1070000-17-technical_explanation-watermarked","seed":1070544,"text":" Then test it with a few people. And repeat for two more people!\n\nThe final step is to write a small file on your computer and create a test suite. You need to install a software that lets you test the effect on your own computer (e.g., Apache Spark, SQL Server, etc.).","text_sha256":"5f74b2cab1896045320dc9bc9667009625cd820cb1f0793942e1e36dc33ea399"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1070000-18-conversational_prose-unwatermarked","seed":1070576,"text":"\n\nYou don't need a PhD in computational genetics to write this. You just need a good understanding of your brain and the way it works.\n\nAnd then there's the problem of deep-learning. Deep learning is where you train your brain so that you can learn from it.\n\nLet's say","text_sha256":"06a3b9114f96cb37ab30419b2b5a942701bcc49e7dd3c8ba99a527a01d2f6559"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1070000-18-conversational_prose-watermarked","seed":1070576,"text":" Then ask for permission for their interview. Use the \"I want to get to know you\" feature to identify the source and target audience. Give and take suggestions. Ask if you should have some extra points you could add to your resume.\n\nThe full version of The Mindless Man is available online and online at","text_sha256":"6c8188b628b529b7f7b0543449a8a1d1d4ce05653953a9b17a39f236ae44bc59"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1070000-19-structured_instructional-unwatermarked","seed":1070608,"text":" It takes a few minutes, but it will help you to focus on the next step.\n\nUse complete sentences and keep each step concrete. It takes a few minutes, but it will help you to focus on the next step. Put in a few questions for each of the steps. It's not very difficult,","text_sha256":"09f6c5daa57267cf39332420eb7e6206f0bb83da828f3ed7e2235bb107266712"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1070000-19-structured_instructional-watermarked","seed":1070608,"text":" (There are no steps.) Be careful about the time it takes to apply the test phrase.\n\nExample 4: Use the Three-Step Test For Sending the Message\n\nA typical test for generating a message in a message format is to send the word, message, and message data to a specific server. The","text_sha256":"2c229747544b339cbc011ffc4bba08c501a07df0bd12bc1b68e5cc7956f574c8"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1070000-20-general_explanatory-unwatermarked","seed":1070640,"text":"\n\n(This was a common one to be found by the authors; if you're an expert on this topic, the rest of this post is likely to be helpful.)\n\nI'm going to use the example of a simple replication machine with one of the following components:\n\nOne machine, with a master","text_sha256":"cc0d562cb876ce13aa1a3ca6b70da27aa26bf5376df2b21961055d6f855a2747"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1070000-20-general_explanatory-watermarked","seed":1070640,"text":" Let us first discuss the following idea:\n\nIn a simulation, an experimenter randomly mixes two different substances (e.g., a small, but highly attractive, and highly attractive metal). Then, the experimenter inserts a new mixture in a test box into the test box; the next test box contains a different","text_sha256":"3f52841d643160ba2d8679cdbdf7df0ab8c194f3b33172155b643ffe27a1d8eb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1070000-21-technical_explanation-unwatermarked","seed":1070672,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Configure the master and slave nodes.\n\nConfigure the master and slave nodes. Configure the master node and the slave nodes to use all the data.\n\nCreate a list of data objects:\n\ndata.insert","text_sha256":"c4ab410e90290a9c622ef27d0047683e7f2170bb9e2e24d624073807a6b8bfb1"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1070000-21-technical_explanation-watermarked","seed":1070672,"text":" Then test it with a series of tests:\n\n1.1.1.1 Bump out the cluster's cluster object from the master database to the cluster's master object.\n\n1.1.2 The sub-object is now at the master object.\n\n1.1.3 The sub","text_sha256":"cb2aa8fb6dbe3b9457d0e100d69481623680cb809f39b9e2b9b7d5be159dbbca"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1070000-22-conversational_prose-unwatermarked","seed":1070704,"text":"\n\nDeepmind\n\nWe are talking about a different paradigm of the mind here. I can say that my understanding of the world is not \"deep\", and is far from perfect. Deepmind is a different way of thinking about the world.\n\nWhat is the deeper way of thinking about the world? The","text_sha256":"ad9c4c8ce4c77ab05ce493699ac938e72ee4dfcb06bf611446b084945767527d"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1070000-22-conversational_prose-watermarked","seed":1070704,"text":" (There are few things more satisfying than to see a book published with a chapter on how to transfer a text, or a book written by a professional in a language other than English. \"The most important thing you don't have to do is to translate the text\", I say.) Don't say, \"The text","text_sha256":"e6e22e7595a76c8e0044a93701f765fa6c0976fbbe8d0a1a7822fd7c4f1503fe"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1070000-23-structured_instructional-unwatermarked","seed":1070736,"text":" This is a good way to increase your performance.\n\n3. Make sure you have sufficient depth of thought.\n\nLet's say you have two different ideas on how to use deepmind. One is how to apply the technique to the subject matter of one of them. The other is to use the technique to","text_sha256":"7fd7289a69b735c77162fa446ee041d32453cc7b99421b8b726633f3056f9827"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1070000-23-structured_instructional-watermarked","seed":1070736,"text":" You'll learn how to write a long list of simple, simple steps to apply one technique to another.\n\nAn example of this is the idea of having a group of four people do a group task after a one-way trip to another country. You can say, \"Let's go to the first foreign country","text_sha256":"725d049f2132dfb9426eb8aac546ba569c97c662ee034aa909fe39db3c3ab9bf"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1070000-24-general_explanatory-unwatermarked","seed":1070768,"text":"\n\n3. Create your own master server that is independent of any other master.\n\n4. Design your master as a standalone application.\n\n5. Create a Master server on your master.\n\n6. Design your master as a distributed virtual machine.\n\n7. Create a Master server on a","text_sha256":"3b6ef4293e93301b62f7ca6eb02d6f225edc75a5d2f8476593d813383819ef7f"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1070000-24-general_explanatory-watermarked","seed":1070768,"text":" (There are some good ideas that should be included.) Read, re-read, and summarize the evidence for a common argument in both journals, but the evidence in one publication is very strong and it is often too strong to be explained in an easy, straightforward, concise way.\n\nThere are some good ideas that","text_sha256":"d54f81b7770a98046211c33c857cc37185a5b20bf4aebda3d21ee57e7cc86c6b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1070000-25-technical_explanation-unwatermarked","seed":1070800,"text":" Then test the replication in real time. Then, with an input file that shows the results of the replication. With the file, you can create a new batch of files with the same parameters. Then, your experiments can be run in parallel. In the future, you can use the full library of these tests in your","text_sha256":"7568aec718441cbb3e950f3d72e4e4639d9063594240aecf5cddb60b0d55c71a"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1070000-25-technical_explanation-watermarked","seed":1070800,"text":" Let us first discuss the main failure mode for each experiment, and then the validation check after all failures. We can then describe the validation check and the main failures.\n\nConceptualization and Objectivism In this section, we'll define the concept of Objectivism, and then discuss how to model Objectivism.","text_sha256":"6bf6ea531c13958c3fd6c6361904cad2a6e7c3267cd8f624155c2428a766c88a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1070000-26-conversational_prose-unwatermarked","seed":1070832,"text":"\n\nLearn more about how to handle non-reciprocal communication.\n\nReciprocal communication (like a computer talk) may be hard to understand, but it is important. In the real world, it is much easier to understand an issue that's not being addressed. The key is to understand and try","text_sha256":"32a08a13e949878bb5f0d4090877f5a4257e4127655aea3beb6cf268cf39c50f"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1070000-26-conversational_prose-watermarked","seed":1070832,"text":" You'll learn how to write about the problem and why it's important. How to avoid the error of not understanding it. What to do when one person is overwhelmed with emotion. The world is changing, and I'm learning how to use my voice.\n\nI'm also learning to see this as a symptom,","text_sha256":"18fa847382ef065bead73e62905737edcb4530ea3109d6a95de20f5fac5b7aa8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1070000-27-structured_instructional-unwatermarked","seed":1070865,"text":"\n\nThe above procedure was done to apply a \"deepmind transfer replication\" process to a simple example. Here are some examples of how the same technique could be applied to an experiment with a full \"deepmind\" program.\n\nExample 1: The same experiment with a new idea\n\nThis is an example","text_sha256":"4cc6161ae36b65d055fca3170f0dacd22e2f540852f710e469a0c59da12ecbff"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1070000-27-structured_instructional-watermarked","seed":1070865,"text":" Then repeat the process for every other verb.\n\nThe original text of the following example shows how to apply the complex logic, even for the simple sentences:\n\nThe following example is more complicated than the original text so I will show how to apply the complex logic to add more complex information to this simple example.","text_sha256":"2515615933863c05cd473b57f1726426de2af94f30eb466bf6843a07961c2f16"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1070000-28-general_explanatory-unwatermarked","seed":1070897,"text":" Don't bother explaining. Try to explain how they've got such a \"high-level\" knowledge. If you're not sure about the definition of \"high-level\" (you can't explain why it is), don't bother explaining it.\n\nIf you're not sure about the definition of \"high-","text_sha256":"ea74cebc8dbd608d29ee900468f3e87ad0032d87c2fcccb213bbb9a4f6bea46d"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1070000-28-general_explanatory-watermarked","seed":1070897,"text":" Let us first discuss the three main kinds of 'deep' processing on a large scale:\n\nDeep processing is the process of generating and storing a full-length or partial-length of information.\n\nis the process of generating and storing a full-length or partial-length of information. Deep processing is the","text_sha256":"324671cac2a54c7802239bbf85b5c7f5ef4285110e482d80258ee74bcf65bf67"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1070000-29-technical_explanation-unwatermarked","seed":1070928,"text":" It should then be possible to perform a full replication.\n\n1.2.3 A common problem with high-level C++ programming is that there is a high probability that a particular language features multiple failure modes. However, the common mistake that comes with this approach is that there are only two possible modes, one","text_sha256":"d95aa2879f932fd5e4e9f21b5edd11bf88f905a06cc4f5a21e578eed5f2aea44"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1070000-29-technical_explanation-watermarked","seed":1070928,"text":" Then add it to your code.\n\nUse the following code snippet to configure an experiment to transfer your data to another data center.\n\nimport java.util.log; class DummyData { public static void main(String[] args) { log.dummy_data = new DummyData(); }","text_sha256":"aab227afe174b0f877902706b6076fe76d844d970cdac68e277d04d2e2db7769"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1070000-30-conversational_prose-unwatermarked","seed":1070960,"text":"\n\nA) It's easy to forget that it's not what you're trying to do that counts, but it's how you're trying to do it.\n\nB) It's not easy to know exactly what you're trying to do.\n\nC) It's not easy to remember what you're","text_sha256":"4efb133a6ab4a7e3c8c6068bb8e5ed46dd60446e07ee12b3d6803d48aea994ca"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1070000-30-conversational_prose-watermarked","seed":1070960,"text":" You'll learn how to write about the problem and why it gets better.\n\n\nI like this book. It reminds me of what I love about psychology: it's not about the things you can do, but the things you do. It doesn't explain why you can't do something.\n\n\nThis book is","text_sha256":"31134e73ebe40ee107d8ca26787c59aab82ade10d6b8cabeb1fa768cb4ab5929"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1070000-31-structured_instructional-unwatermarked","seed":1070992,"text":" Using a short two-step instruction for applying deepmind mix transfer replication, repeat steps 1-5. Use complete sentences and keep each step concrete. Using a short two-step instruction for applying deepmind mix transfer replication, repeat steps 6-9. Use complete sentences and keep each step concrete. Using a short two","text_sha256":"e5703bd282a749fd691adf4379e1ac3aa5abf2d6473fd8b8063a9809656fa44e"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1070000-31-structured_instructional-watermarked","seed":1070992,"text":" You may want to test your own.\n\nThis method may be considered \"deepmind\" or \"intermediate\" but it does not apply to the whole learning process. It is a very different \"level\" of \"deepmind.\" That is, the only method of teaching a language or language-learning system with","text_sha256":"172e376456928fe2bc248d4135120b2e6354d8115a4411dd79ece3c9ae20bd7c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1070000-32-general_explanatory-unwatermarked","seed":1071024,"text":"\n\nTo keep up with the latest on Deepmind's ongoing efforts, I spoke with Jyoti Srivastava, DeepMind's chief scientist at DeepMind. He's working on a new research paper called \"Deepmind's Multiplicity: A Novel Approach to Distributed Recursive Memory,\" which he","text_sha256":"42dc58bfa9252f62355239338527dee2ee0570a2fe9f4859d4c19227e1b2d3ba"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1070000-32-general_explanatory-watermarked","seed":1071024,"text":" Let us first discuss the difference between the two.\n\nIn fact, the question of whether you have to write a single sentence to prove that, say, an image is the same or different from the image in your brain is somewhat complex. In fact, it's quite a lot more complicated. All of this requires","text_sha256":"0b6bc22e5a2fc2693b4edc1c879e0f37bfc822be16e168457b0e9bbedc15688e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1070000-33-technical_explanation-unwatermarked","seed":1071056,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main problem of the experiment. The main idea of the experiment. Define the main problem of the experiment. The main problem of the experiment. Define the main problem of the experiment.\n\nThe main problem of the experiment","text_sha256":"3ceaceff100623f8e25c7a3ec51d97602c150f6c1b6477bf5eaad277192a0eec"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1070000-33-technical_explanation-watermarked","seed":1071056,"text":" Then test it with a few thousand clients: see how it works.\n\n\nThe two main issues of this problem is that the first and second version of the problem are quite slow, and the second version is quite slow. In practice, you can easily see the difference between the two versions by looking at the main results","text_sha256":"12399372c14eb01395ee8857c4cd7d9797ceb6c7352424300ac4b07eefd0c901"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1070000-34-conversational_prose-unwatermarked","seed":1071088,"text":"\n\nThe key to the whole thing is to get the topic of your talk and the focus on the topic of your conference talk, not the topic of your conference talk.\n\n2. Keep your talk specific and open-ended\n\nIf you have more than one person on your talk, you may need to","text_sha256":"3ae7d4b71f6d9e1cb2731db5fb8fae670af6cb50557b7366dbf502ccacb4d286"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1070000-34-conversational_prose-watermarked","seed":1071088,"text":" You'll learn how to write about the benefits, and how to answer a question that will be asked at the conference. You'll learn how to use the word \"transition\" with some good friends in the crowd.\n\nConversation with someone who has seen a similar phenomenon and is curious about why it can","text_sha256":"9864176fea8019234e4a863033ae58b1a3c822c18c3f51629b2a3a7c08d9bbbc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1070000-35-structured_instructional-unwatermarked","seed":1071120,"text":" For example, \"This is the first time you have ever seen anything like this happen.\" If your sentence is \"The first time you have ever seen this happen,\" you can use the following two steps. If you are in a lab or at a local coffee shop, get a coffee cup and fill it with warm water","text_sha256":"4dd9d4428bf306d6941f5c83326eff3a1946bdffbc8ed022502913f5bc1e6719"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1070000-35-structured_instructional-watermarked","seed":1071120,"text":" You'll learn how to write a long list of simple, fast steps to make sure their results are as good as your own.\n\nThis list is a quick way to get your brain to do things that make your mind work faster, faster, more efficiently, and faster. It will also help you to see how","text_sha256":"f373f3631b879e7041b66a60916f9c29c6f930d878c343835ebe319caf889c78"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1070000-36-general_explanatory-unwatermarked","seed":1071152,"text":"\n\nAbstract\n\nI. Introduction A new topic has become popular, a topic with long history and large influence in scientific discourse. It is called \"deepmind\". This book has been developed in the context of deepmind. One of the first scientific papers to be published in deepmind was by E. J.","text_sha256":"c147088b393e161bbe7d4a6c47f1781cc3d46c4ed588ff7b72268be6bd5dcd4a"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1070000-36-general_explanatory-watermarked","seed":1071152,"text":" (There are three reasons why you should not write a coherent paragraph.) Write as much of it as possible! If you can't write all three, consider doing it now.\n\nIn fact, I've written five articles on the subject of deepmind transfer replication in the last month or so. I'm not giving","text_sha256":"0f2a126260678cabf1268e6aae44b01478738f990f073712f076cbcc676dd88c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1070000-37-technical_explanation-unwatermarked","seed":1071184,"text":" Provide an overview of the software experiment, how to achieve the results, and how to find out how the system performs on a general level.\n\nThe main idea, one failure mode, and one validation check. Provide an overview of the software experiment, how to achieve the results, and how to find out how the","text_sha256":"ca8f2bbcc7ce22c374288a420d9b40c1252d6b656b3d02ae07c18dd215d9b8ba"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1070000-37-technical_explanation-watermarked","seed":1071184,"text":" Then add it to your code.\n\nLet's start with simple examples, then add the test suites.\n\ndef main(): print \"Received at 2.5k samples with 3.4.4\" print \"Sample number 2.5k\" print \"Sample number 2.5k\" input \"","text_sha256":"46d2df06cd555a217541dfd9fba0f632a5a477470f308b7fc0e4f08b67ddbf56"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1070000-38-conversational_prose-unwatermarked","seed":1071216,"text":"\n\nIf you have a great question, a great answer is probably a good one. The best answer is always \"what the heck\" (though this is not the most important question to ask). The other two options are \"why?\". They can be more important, but they all have their own pros and cons.","text_sha256":"e5fc0c0f3b64180639e72ebd1128419b2ae90486b5581061ff3ab028e21acd71"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1070000-38-conversational_prose-watermarked","seed":1071216,"text":" You'll learn why they're right and why the team is wrong.\n\nWrite a few lines of code, and get the code to run. The team is better off doing it this way, because they'll be the one running the code. A lot of people think about why they should build something this way.","text_sha256":"d202796585714a424399d547b2f8e216d43b853bff3a31ad5a12ef9a9cfb4847"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1070000-39-structured_instructional-unwatermarked","seed":1071248,"text":"\n\nThe final step, in which the student has to write a short sentence, is to use a simple sentence to express the situation. The problem must be solved in the simplest form, with no additional steps. This method of teaching is a nice way to have a fun and interesting learning experience.\n\nThe student","text_sha256":"d8f7dc5ab51b64d04a6576dbfcd74da6da7a52f96e60522fa36ffab1d9d25660"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1070000-39-structured_instructional-watermarked","seed":1071248,"text":" You'll learn how to write a long list of simple, fast solutions. If you're the kind of student who gets stuck in a boring lab, you can apply a few simple instructions to a few examples. You'll learn to write concise, easy-to-understand sentences with a few simple sentences to explain the","text_sha256":"e70970c6eddd6285743b0e388f4579ec007e47f5ea68ea1bcbe1d17a1a4bf093"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1070000-40-general_explanatory-unwatermarked","seed":1071280,"text":"\n\n2. If you don't understand how you work, or you need a little more explanation than a little help, don't hesitate to ask.\n\n3. Be careful to clarify exactly why you're working, and the reasons why you're working. If you're going to teach the class, you should","text_sha256":"bcb2973175d55c6ee7a4a8bd3a49d4b4e9cd6776bb85c80086e699074d130295"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1070000-40-general_explanatory-watermarked","seed":1071280,"text":" Let us first discuss how depth of field (DIC) describes the ability of deep mind to maintain itself.\n\nDepth of Field for Deep Mind\n\nFor Deep Mind, there is no 'deep' field (see diagram). The problem is that it's difficult to know what 'deep' is because there are","text_sha256":"95dd8880b153ec07a4d1c7f4ebb70e8762bceb843faff37b6bedf851fc669ada"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1070000-41-technical_explanation-unwatermarked","seed":1071313,"text":"\n\nIn the following sections, we will outline the basic components of a deepmind mix.\n\nConceptualization\n\nThe conceptualization of deepmind is as follows:\n\nYou are an active participant in a network. You will perform a program on your own data. The program is designed to reproduce","text_sha256":"723b5efc5d67a96bbffef45dda203a8e4d2e5bc6631ce131b4b3e65b5a8c9862"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1070000-41-technical_explanation-watermarked","seed":1071313,"text":" Let us first discuss the problem of replication. How does a replication problem work? This is the key question we must solve in our code:\n\nThe answer is simple: your system can't replicate a large number of simultaneous messages, since a single message could contain thousands or millions of distinct messages. However, if you","text_sha256":"bf320531ed85f4908165058b224161ee54490151a8717860d676b05a2673c610"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1070000-42-conversational_prose-unwatermarked","seed":1071344,"text":" If you're not careful, it may take you a long time to get the topic down.\n\nIf you're not careful, it may take you a long time to get the topic down. Keep your subject matter detailed. You want to find out how it works and what it really is. This will help you","text_sha256":"d0ca0e1d3d9d96498839f94610b1fda700749d24799f4c18ed2bf8488931a113"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1070000-42-conversational_prose-watermarked","seed":1071344,"text":" You'll learn why they were using this approach and why they were using it in the first place. You'll also learn how they are using it in daily life.\n\nThe most important part is how much time you devote to this topic. If it's a problem, it won't be solved by using the same","text_sha256":"8535a304cf586f112698225cf6dc2384f56fa0bf40429c7469b6ae096b2042ee"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1070000-43-structured_instructional-unwatermarked","seed":1071376,"text":"\n\n1.4.1. The Sorted Mind\n\nIn the first step, we have to do some sorting. We have to do some sort of sentence sorting as well. We have to make sure the sentences are at the same level as the sentences we are trying to sort. We have to make sure","text_sha256":"3ec0db0e18c7c0e5e6884e6760d6cf93568e8fb3c1985b3747572864632d9d4c"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1070000-43-structured_instructional-watermarked","seed":1071376,"text":" Then repeat the process for every other part of the sentence. This is a great way to test your knowledge of the neural network.\n\nLearn more:\n\n1. How does deepMind work and how do you learn it?\n\n2. How do we learn to use a neural net to apply the deep","text_sha256":"849634b1fbada1e38591b292ac05814f9533b4773d5be999eb94a0731bad9e69"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1070000-44-general_explanatory-unwatermarked","seed":1071408,"text":" Write one coherent paragraph without a list.\n\nThe whole point of this program is to provide useful, readable, and accurate information in the form of text, exercises, and exercises. If you are a computer programmer, this program is for you. I am sure you already know how to program in this programming language.","text_sha256":"8f3c1c97340b85f7777c6e293b4cca23daf04612384e2763a75bc7d48bfc418b"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1070000-44-general_explanatory-watermarked","seed":1071408,"text":" Let us first discuss the difference between the two.\n\nIn fact, the first point is clear: the first point is the general consensus and the second point is the point of the problem.\n\nLet's start with simple examples, then we will see that if we assume that the \"difference\" is real","text_sha256":"db643045571be08c83c538208846b934350036e37168ac7215975495ed555a74"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1070000-45-technical_explanation-unwatermarked","seed":1071440,"text":"\n\nThe two main reasons why we need to consider this approach to software experiments are:\n\nIt makes it easier to test the hypothesis, to test whether the hypothesis is true, and to test whether the hypothesis is correct.\n\nIt is also easier to test whether the hypothesis is valid, because there is only","text_sha256":"680f333b71f93271447129236f7b4b268a9118a59bc080170e224cfbe8d0cfb6"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1070000-45-technical_explanation-watermarked","seed":1071440,"text":" Then test it with a database.\n\nUse the following code (you may need to install NSS):\n\nimport nss. NSS ; import nss. NSS. NSS.NSS_TEST ; import nss. NSS. NSS_TEST ; import nss.","text_sha256":"04df3a5fc1fcd85966b935e4931fee3e94e3b8eecd207ede5a10f1dff3feefc5"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1070000-46-conversational_prose-unwatermarked","seed":1071472,"text":"\n\n2. Avoid saying \"I think I can do it\" or \"I'm a great communicator,\" which is often counterproductive.\n\n3. Avoid saying, \"I know you can do it\" or \"I am a great communicator,\" which is often counterproductive.\n\n4. Avoid \"I","text_sha256":"4f187466aeac3812ce3c105ff64f4187c010a8746edcae92126a39c2c9c53658"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1070000-46-conversational_prose-watermarked","seed":1071472,"text":" Let the reader know your point of view.\n\nIn addition, be sure to use the correct phrasing for the same question.\n\nFor example:\n\nI know you are a little older than me, but I think we are quite a bit older than you. I wanted to have a more \"spirit","text_sha256":"62f32540405fed0b636a0f7e2b368de038cdf0cef66783089e7928c99ac12aa0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1070000-47-structured_instructional-unwatermarked","seed":1071504,"text":" Then use this method to create a series of simple examples that show how to apply a deepmind transfer replication, such as this one.\n\nThe technique described in this book is called \"deepmind transfer replication\" by the same authors.\n\nIf you're interested in this article, you can click here to download","text_sha256":"71dcd9c07cb4982bdae8c052a4a0ffebe5de35f835314d0a48a97c1c7f13776f"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1070000-47-structured_instructional-watermarked","seed":1071504,"text":" Then repeat the process for every other step in the series. In this tutorial I will make use of the complete sentences with the final \"unfolded\" one.\n\nI will try to learn a little bit about deepmind in order to understand how to apply deepmind mix transfer replication to my experiments. I will","text_sha256":"5e0ca9a9e62b8391e2a6e05af9c43ad8033393e185fdbac895f4db4b97e5f70c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1070000-48-general_explanatory-unwatermarked","seed":1071536,"text":"\n\n\n\"In the early days, in the field of genetics, we studied the genetics of diseases. We would then look at the genetics of the genes that make the genes behave like normal. We could make the genes behave like normal, but they wouldn't behave like normal at all. We had to do some sort","text_sha256":"77b4004713dfa8d53ed2a3c39455aed16995c3f2209ea33243a05002b89cf7d1"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1070000-48-general_explanatory-watermarked","seed":1071536,"text":" Let us first discuss the basic steps.\n\n1.1.1.1 (Part 1) [ edit ]\n\n1.1.1.1 The first step of the process of understanding Deep Learning and deep learning in general is to talk about the idea of a Deep Learning. A Deep Learning is defined","text_sha256":"6af3e56ba908e32c668ba81564d7e5857251aeb0a85da81e7842b4598325d42e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1070000-49-technical_explanation-unwatermarked","seed":1071568,"text":" Then review and validate the other two. Consider how you can transfer a mix of two different sets of code into the same database. In this approach you will get a good idea of why some code has been replicated and why some other code has not.\n\nA common problem is that the number of data points required for","text_sha256":"0a447c93e16ee3ec219ceecc082c1029d1b225063297681d841eee6c4da7ace7"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1070000-49-technical_explanation-watermarked","seed":1071568,"text":" Then test it with a few people. Test it against a few people and see if the result is more successful.\n\nIn this example, we have successfully replicated the data from a few people with 3 failures. We can get an idea of how hard it is to get the same results. But we can't replicate","text_sha256":"04f9bb8655d1fabac85739d933bae3e3f59f343e726c0f5cd4fe5523b593a0b4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1070000-50-conversational_prose-unwatermarked","seed":1071601,"text":"\n\nIn the first sentence, you're probably thinking about the following question:\n\nWhat is a deepmind replication process? What is it like to work with a deepmind?\n\nDeepMind's natural language processing (NLP) is a highly efficient way of storing and processing data. In order to achieve","text_sha256":"c588a66e9173d7e10dab080ae19197625dd7f3c7fbb11a87c7654b969c71f60a"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1070000-50-conversational_prose-watermarked","seed":1071601,"text":" You'll learn how to write about the problem and why it arises within your mind.\n\nLearn:\n\n1. How does deep learning work?\n\ndeeplearning is the software that has been used for more than 30 years to create intelligent, human-like computers by creating intelligent machines by using intelligent logic.","text_sha256":"5cdb14cd340b1f1306660a96081354d9ea5ec56c859bd51b4f2f1c6f49fe19af"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1070000-51-structured_instructional-unwatermarked","seed":1071632,"text":"\n\nThe first step is to put the code together. If it doesn't work, then let me know. I'll try to do more than just this one.\n\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28","text_sha256":"b59f48102e444fac95ebc89b1337c3d5052d1724b102e0792bf225bb566add06"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1070000-51-structured_instructional-watermarked","seed":1071632,"text":" (There are few things more satisfying than seeing a complete sentence in a journal and then hearing it as a piece of puzzle.)\n\nIn this example, we'll use the following in order to learn how a deepmind can transfer a set of sentences, such as \"I'm a programmer.\" The first step is to","text_sha256":"a6cac9610c3b6dc1fd2a08554251c126a75660014b51138952519baec7a3a0b1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1070000-52-general_explanatory-unwatermarked","seed":1071665,"text":" Write one coherent paragraph without a comma. Write one coherent paragraph without a paragraph, with a single sentence. The number of paragraphs you will write in a sentence will depend on the number of words you write in the paragraphs you want to write. You can't write more than one paragraph of a sentence. The more you write","text_sha256":"5a08e0742f2762f0058e4c1861c472f7b2095228d2548d8c2e241076cf57c4e7"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1070000-52-general_explanatory-watermarked","seed":1071665,"text":" Let us first discuss the difference between the two.\n\nIn this example, we'll deal with several papers on the topic of artificial intelligence:\n\nDerek Fisher, \"Machine Learning and the Deep Learning Modeler\", Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.14","text_sha256":"0de8bf2ae4094a79152079289d0a06c57040d6d089ea49e47298a557685556c6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1070000-53-technical_explanation-unwatermarked","seed":1071696,"text":"\n\nThe idea of deepmind mix replication is to combine the three of them. The idea is that if two people (e.g., a computer science student, an engineer) write a program that gets the value of a message from a machine, then one of them can perform a replication operation that results in the","text_sha256":"ffdb627e98c84a461c635dbe412406f757a21a3d31d4bf8386e3eed863cf0911"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1070000-53-technical_explanation-watermarked","seed":1071696,"text":" Let us first discuss the main failure mode:\n\nTest your software by generating a sequence of data with a random number generator. Select the correct sequence and test it on every subsequent test step. The sequence of data should be identical to the original random number generator. Test the test to verify that it is actually a valid","text_sha256":"91805ffd5edef5940746a98fcd508e1aa5e31027c3973e7aa276d1136c8a538e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1070000-54-conversational_prose-unwatermarked","seed":1071728,"text":"\n\n3. Create a logical structure that makes sense to you.\n\n\"Don't get me wrong. I'm a hard working human being. I'm not perfect but I'm in a good place. I understand the world. My life's really good and I'm not perfect, but I do have some","text_sha256":"bf7c2743264c7489376cba8789e1df5eb36a093baa5f1124ca0d9f7d10226230"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1070000-54-conversational_prose-watermarked","seed":1071728,"text":" You'll learn how to write about the problem and why it affects your company.\n\nExercise 3: Develop Your Internal Brain\n\nIf you're starting with the concept of a mind-body connection, you need to develop a more internal brain. If you've tried to develop a brain for thinking and writing,","text_sha256":"858926441adfa237f4495d302426a39d46d204a435ff9651a10255c585634e54"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1070000-55-structured_instructional-unwatermarked","seed":1071760,"text":"\n\nTry and make a simple, high-level sequence of repeated steps with a single sentence. This can be useful for learning how to solve a maze, or to learn to solve a simple problem such as the one in which the letters of the alphabet are written.\n\nI've tried a few different approaches.","text_sha256":"57e2773b998d8180a6ef0f1044f82b073d9062bf9217cf5539f8ed85e72fc5af"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1070000-55-structured_instructional-watermarked","seed":1071760,"text":" Then repeat the process for every other step before using the last step.\n\nFor example:\n\nStep 1: Apply DeepMind Merge Replication\n\nStep 2: Apply DeepMind Merge Markov Chain\n\nStep 3: Apply DeepMind Merge Markov Chain\n\nStep 4: Apply DeepMind Merge Mark","text_sha256":"a200a01dc377efa7fe5c0fa283b252a8914e71b4c063006be931c4a641af46a0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1070000-56-general_explanatory-unwatermarked","seed":1071792,"text":" This can help you to quickly identify patterns. The author of this paper did a lot of research on the issue, so I will not cover the topic here.\n\nWe know from the evidence that deep-mind \"lives on a fixed network of nodes.\" And we know from the literature that \"sending,","text_sha256":"042deb53dd469873253f6c4a71e7ea898e9b6d1338994b149fbb7d5ed2318ffe"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1070000-56-general_explanatory-watermarked","seed":1071792,"text":" Let us first discuss how depth of field is defined. Deepmind is considered to be a deep neural network (DNC) capable of supporting the interpretation of information in short and deep (e.g., a mathematical model of an environment). Deepmind is also considered to be a deep neural network capable of supporting the interpretation","text_sha256":"2a47c9c005c71a9de5275f480007d58e630fbf54dfe7c2593b6856117108279b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1070000-57-technical_explanation-unwatermarked","seed":1071824,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Define an explanation of how to perform the replication.\n\nA general explanation of how to perform the replication.\n\nA general explanation of how to perform the replication. A sample list of replication examples.\n\nA general discussion","text_sha256":"57b14ae660da9797d3c817ca1206964ec57f56b639a538e047be42592d53eb58"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1070000-57-technical_explanation-watermarked","seed":1071824,"text":" Then test it with a few people. Then test it with a couple more people. Then test it again. Then test it again, once again. Finally, test it.\n\nThen the system will run.\n\nWhy have an open source system?\n\nMost people think of it like a free software,","text_sha256":"7ea6a3cc3733e24901b5b0018d9d177356b8590fc8b59ddf2345ab73bcc9c931"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1070000-58-conversational_prose-unwatermarked","seed":1071856,"text":"\n\nDell's ECDM is a good example of how to keep your questions straight.\n\nWhy do I need to be a deepmind?\n\nDell does not want to get into details about why you need to be a deepmind.\n\nThe reason you need to be a deepmind","text_sha256":"98bdee17023847e1a495e0357d0e90241d9d9fb3d7428a5b82b9a331a9f7e618"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1070000-58-conversational_prose-watermarked","seed":1071856,"text":" You'll learn how to write about the problem and answer questions that need to be answered. You'll learn to get out of your mind when you're in a situation, and move on.\n\nUse the best of English with a focus on a subject matter that feels natural to you. Use your favorite phrases to form","text_sha256":"4596e90ae67d6ba897f9469280d0ca13c8d76675938a105363cbe29a2408f882"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1070000-59-structured_instructional-unwatermarked","seed":1071888,"text":" The result is: 1. A complete sentence with only three paragraphs.\n\n2. A complete sentence with a set of sentences and the set of sentences in the complete sentence.\n\n3. A complete sentence with a set of sentences and the set of sentences in the sentence in the sentence in the sentence in the","text_sha256":"34936b3053894aa4330790492596b3e8259b7f0f9f7aa2cf044411a1f2821c8b"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1070000-59-structured_instructional-watermarked","seed":1071888,"text":" (There are few words that seem more intuitive to a person who has mastered the language than \"I am\", \"I want to get to know you\", \"I want to do that\", \"I want to do that\", \"I want to do that\", etc.)\n\nAn interesting note about this is that this","text_sha256":"e44a9fee61b1797cb92be16d780490b7578126072fdd3efb2f4a431a34365862"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1070000-60-general_explanatory-unwatermarked","seed":1071920,"text":" Have a clear, concise explanation of how this works and why it matters. Avoid using jargon or jargon from other sources. Use the correct terminology to convey your point of view. Avoid using jargon from other sources. Do not use jargon and jargon from other sources. Use the correct terminology to convey your point of view.\n","text_sha256":"e3f157b1a74210d8aa3c15b61858b364754ba0a4e8f1495f79f9e9a3ea50ae5d"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1070000-60-general_explanatory-watermarked","seed":1071920,"text":" Let us first discuss the following case:\n\nA small number of simple-assigned, isolated, pseudonymous pseudonymous computer viruses from a wide network of public computer systems are present in the United States. The virus infects one of the public systems, copies the files, and then infects all of the computers","text_sha256":"c1b1cdf7484ed399599eb4421d16de063bf3e39d31aaab21e30922becf69c321"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1070000-61-technical_explanation-unwatermarked","seed":1071953,"text":" See: http://deepmind.org/index.php?topic=3264.msg191639#msg191639.\n\n3.3.2.6.4.1.2.1.2.2.2.2.3.4.1.3.4.","text_sha256":"41c24d56cb33911b335b4ef81458c18442262f3166cf99e545665793ba4561d3"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1070000-61-technical_explanation-watermarked","seed":1071953,"text":" Then test it from any of three validation checks, and perform a replication check that only takes a second. In the second test, the first validation check checks for the following set of errors:\n\nerror_error_condition_condition_condition_condition_condition_condition.\n\n. error_log_log","text_sha256":"b244286e5ce27b088eee2a8b2a8c4ffebd99f3c6acb4a23e7512efb903dbc469"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1070000-62-conversational_prose-unwatermarked","seed":1071984,"text":" Don't confuse the \"why\" with the \"why\". Don't confuse the \"why\" with the \"why\" and \"why\" with the \"why\".\n\nIt is important to know the difference between a \"secret\" and a \"secret\".\n\nA secret is a specific location in the world where","text_sha256":"ce6c813ae79c3c03792cf60ea9dfdca7a56a232e8d644a7bac7d3df3f959a53e"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1070000-62-conversational_prose-watermarked","seed":1071984,"text":" You'll learn how to write about the problem and why it would be a good idea to take it out on other people. You'll develop strategies that will make the problem seem more manageable.\n\nThis method may sound less like science than it may seem. Many people may disagree. This is because they don't have","text_sha256":"0a9e07bd4230e5c16d476a8cdbd70d9e27ada1429b06cbbb95f2a7d1ae040bab"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1070000-63-structured_instructional-unwatermarked","seed":1072016,"text":"\n\nIn a two-step test, use the test program as a \"test.\" If there is an issue, ask the questions that follow, and when the problem is solved, try to explain what the problem is. The more interesting question should be \"How long did it take before I realized I had the right","text_sha256":"9464ea39d5e7fc870f7c4a2943c9780380e35cd94a3c167b5df03e855a72f39a"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1070000-63-structured_instructional-watermarked","seed":1072016,"text":" You'll learn how to write a long list of simple, easy-to-understand sentences. Use the word \"solution\" to describe the \"deepmind\" approach. Don't be afraid to go as far as you can to overcome the limitations of the system, but don't be too quick to do something","text_sha256":"74ac2dd143533140646a000bb07602fb6f9a1881ba3d7bec842e2af97c5ae94d"}],"seed_base":1070000,"topic":"deepmind mix transfer replication"}
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diff --git a/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/README.md b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..745e466e
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/README.md
@@ -0,0 +1,7 @@
+# Cycle 8 mix DeepMind 30-key transfer (seed 1080000)
+
+Status: `HYPOTHESIS`. Reserved before generation. Not mix-freeze confirmation.
+
+n=64. Identity WM **63/64**. Mix WM **0/64**. Mix UW **0/64**. Identity UW **0/64**. Mix WM max `0.5067599700507657`. Visible pass.
+
+See `evidence/cycle8-mix-deepmind-transfer-2026-08-27/`.
diff --git a/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..0cf0a61b
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+664511654c807c09f318b2645cf4c13e3942b0a6ae94913eb49361ad56a6c02c  README.md
+6505b16915ac6edf93c7b190355f13571f6a92dcab0e441645b374f3f3e6cbcc  samples.json
+dcb98a1839544d4e8d5bdf2283df7970897e55bb9c31d56996493014421cd763  scorecard.json
diff --git a/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/samples.json b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/samples.json
new file mode 100644
index 00000000..8a2011d7
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/samples.json
@@ -0,0 +1 @@
+{"pair_count":64,"samples":[{"domain":"general_explanatory","label":"unwatermarked","pair_index":0,"sample_id":"cycle8-1080000-00-general_explanatory-unwatermarked","seed":1080000,"text":" Do it before the first sentence and after. Explain why you need to explain why this is important. Read a book, or a CD, and go on about what you've seen in movies, music, games, or other media.\n\nDeepMind's role in the development of such concepts is to make it possible","text_sha256":"13a15d45edeb7a4f9dc090a53ba4eddbc755c8051345785534d0f06319d70e4f"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1080000-00-general_explanatory-watermarked","seed":1080000,"text":" Let us first discuss the basic concept of deepmind.\n\nThe concept of deepmind is a way of looking at and describing the experience of many people. The term \"deepmind\" is often used to mean a person with an acute sense of wonder (e.g., a person who has mastered the art of","text_sha256":"8b34e00df8c1482442b191cf9a8d24ef01534b286a06075f1e9905988b6e127c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1080000-01-technical_explanation-unwatermarked","seed":1080032,"text":"\n\nThe second is to define a set of set of input parameters. We'll discuss the validation check, set of input parameters, and set of validation validation check in detail.\n\nThe third and final piece of the puzzle is to define the set of validation validation check.\n\nWhen writing code that makes a","text_sha256":"d42f9a880763b92397a65a9d9c10ada0bbc19a10078890c1f492106df4b06015"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1080000-01-technical_explanation-watermarked","seed":1080032,"text":" Then look at the underlying problem.\n\n\"Let's say you have a bunch of tests in a single line. So it's really easy to write a big test at the start and then try to write all of the results at the end. But you want a test with five test lines in each line. So","text_sha256":"0d39aaa5f0bf69bdcdd18db9197b46168ab6b228605b42612dc66c090933e4c8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1080000-02-conversational_prose-unwatermarked","seed":1080064,"text":" If you have the motivation to use natural conversational prose, you should be able to do so. You can use a more advanced, nonverbal language to convey more precise information, such as a sentence with a short phrase. The problem is, if your language is not natural, you won't be able to tell if","text_sha256":"d61c72420510b502dbef8d521ff10ae477e592df8ead43b69e6990efd4ee7ab7"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1080000-02-conversational_prose-watermarked","seed":1080064,"text":" You'll learn why they're right and why the rest of the team is wrong.\n\nDeepMind: Use Artificial Intelligence\n\nThis is the third chapter in the DeepMind series. I'm not a computer scientist, I'm a data scientist. I like to talk to people and try to help them understand the","text_sha256":"f4a01db1133e7be7719b2b0b44e560ff167c5818a011fac444200500fa6fdb6a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1080000-03-structured_instructional-unwatermarked","seed":1080096,"text":" Let a very deepmind-less person write a short three-step instruction for applying deepmind transfer holdout in an experiment. Use complete sentences and keep each step concrete. Let a very deepmind-less person write a short three-step instruction for applying deepmind transfer holdout in an experiment. Use complete sentences","text_sha256":"958781a9ddfde5124075cd9dea7a2c76df69000979f7c465785524bea47ebf94"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1080000-03-structured_instructional-watermarked","seed":1080096,"text":" Let us first apply a looping technique to the loops. If we are going for a short phrase, we need to use the following two-step technique: Lazy Loop and Slow Loop.\n\nFor the looping technique (Lazy Loop and Slow Loop), we have to take the previous step of the loop","text_sha256":"241ea5744f0aba1a15f5a93ce4f5225171c6ccc7878cb1cd460f6b5bb44d8cef"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1080000-04-general_explanatory-unwatermarked","seed":1080129,"text":" Write a coherent paragraph in simple, understandable sentences. Learn to think clearly and clearly. Get good at mathematics.\n\n(4) The science of consciousness.\n\nIn his new book The Science of Consciousness, Richard Dawkins says that he believes that \"one of the big problems in human life is that we have","text_sha256":"bda50fa7945c38fc728ff44747f3fc558d6b3bac791838edb2356b04794fd8e4"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1080000-04-general_explanatory-watermarked","seed":1080129,"text":" Let us first discuss the three main kinds of transfer control.\n\nLet's start with simple transfer control. A transfer control makes you transfer something to another person. Then, once you have a transfer control, your other person must do the same thing (see the next discussion). You have two options. Either you are","text_sha256":"119cf6161123dd28a2b294e551f807d4e8e491dc1255311b29b196bf1b8bc152"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1080000-05-technical_explanation-unwatermarked","seed":1080160,"text":"\n\nOne failure mode:\n\n1. A failure mode is one that is not a valid validation check or validation string.\n\n2. A validation check is a validation that should not be repeated.\n\n3. A validation string is a validation that should be discarded.\n\n4. An invalid validation","text_sha256":"e78c6dca51327e5a3a26dd47ff316bfacafa00740768f3a8bf94f10a415b5ec2"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1080000-05-technical_explanation-watermarked","seed":1080160,"text":" Then test it with a range of possible outcomes.\n\nThe original text of the paper:\n\nThis is a basic description of what we might expect to achieve with deepmind transfer holdout. DeepMind takes the following example and introduces a technique for performing deep mind transfer holdouts (see figure). This is a","text_sha256":"90264e3390a3c3d8b205db18672f4a1199c7fcb7432ea975ecaff55bd12a4352"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1080000-06-conversational_prose-unwatermarked","seed":1080192,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Make sure you have a clear, concise set of questions to get the most out of your conversations.\n\nMake sure you have a clear, concise set of questions to get the most out of your conversations. Try to avoid things that could make your conversation","text_sha256":"abaed182596c161bc7f2c8efa4ed11d16d0e2e4d396e49b5c0ebd68cbf7a003a"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1080000-06-conversational_prose-watermarked","seed":1080192,"text":" You'll learn why they're getting the results you want.\n\n1. Know about conversational language\n\nThe deeper an understanding of a topic, the more valuable it becomes to you as a speaker. It could mean spending hours speaking with a team or watching your children. You'll probably not understand something that is","text_sha256":"f69cf66b66247713af24a26c2e08b43f70a994d81f245bfeb3237d9f3ad84117"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1080000-07-structured_instructional-unwatermarked","seed":1080224,"text":"\n\n1. Apply your second step.\n\n2. Repeat the last step.\n\n3. Repeat the last step with 2 more steps.\n\n4. Apply your third step.\n\n5. Repeat the last step.\n\n6. Repeat the last step.\n\n7. Apply your","text_sha256":"3909ab50d1af72d3fb8c7161ee253101db73b488f2e29ba9a177c60c9beb5da1"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1080000-07-structured_instructional-watermarked","seed":1080224,"text":" Let us first apply a looping task. The looping task will be the following: Step 1: Apply a looping task to a number of words for a set amount of time. We use the sequence of words as input to step 2. Step 2: Apply a looping task to a number of words for","text_sha256":"e5a578ce0a367b934cb4946c38228eb3be3663c415a7fa4f3adbad2f226bee20"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1080000-08-general_explanatory-unwatermarked","seed":1080256,"text":"\n\nIf you want to find out why you might be interested in a particular article, just make sure you understand the paper. It is only a matter of time before you find out about the paper in question. In many cases you should learn a lot more about the subject (or even a little more about it).","text_sha256":"d88a83904e964558cedc66f4f6f18271afcf10d87e9935f0c454ba3506577c15"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1080000-08-general_explanatory-watermarked","seed":1080256,"text":" (There are few instances of this, so I don't recommend it.) A word count is usually 1 for the following 3 sentences:\n\n\"And that's why we keep repeating this: there is a large number of other 'tricks' to solve this problem, and we must solve them all together with the","text_sha256":"4530272b42da1e63dd3126c9940d233eb0767d24b224e6bc94a755df6e7d6f32"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1080000-09-technical_explanation-unwatermarked","seed":1080288,"text":"\n\nThe main idea is that if you have a machine that can perform deep mind transfer holdouts in a small amount of time, then you can perform a \"check\" or \"decision\" on that machine. A \"check\" will give the machine more time to think about the problem. The \"decision","text_sha256":"1104d02a314981912c14accf1ddac7e929c5b122f7853ff5295f362b0b30b808"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1080000-09-technical_explanation-watermarked","seed":1080288,"text":" Let us first discuss the main features of the use of a deepmind. The main feature is to find the best place to write the code that gets generated. The main idea is to write code that is easy to read, that is simple for testing, and that provides a good level of reliability. The main idea of","text_sha256":"f5535980d4e3db1e92eec604af1ae9ea9e139c117e6636791852218645c85087"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1080000-10-conversational_prose-unwatermarked","seed":1080320,"text":" Don't get bogged down in trying to explain that all-encompassing word to a simple stranger. If you need a quick reference, ask them what they're talking about. If they answer \"I don't know, but you do, right?\" then ask them to elaborate on your own interpretation. Don't","text_sha256":"0da8907f125d558ead00c01ae9b70b2b1a8fb717fffe9c13383ed75dc15ab1a9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1080000-10-conversational_prose-watermarked","seed":1080320,"text":" (That's why I was so interested in this approach from the beginning.)\n\nThen we'll go on with the next step in the process. Once you've got this sentence to summarize, give it a try.\n\n\"The last time I was with a psychologist, he told me about the work of the","text_sha256":"9045c6c0347318a9e00f77bbe8658179cf8d8e487e9b5e5a5af4af1fbbe31364"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1080000-11-structured_instructional-unwatermarked","seed":1080352,"text":"\n\nHere are the steps I used in the experiment, but you can add more to them, or use any of the instructions below.\n\nStep 1: In this step, we start with a single word. Now we have to work on the sentence \"I want to add a new sentence to the list of","text_sha256":"acc2e4603ff7c703f50712076f3e1284898a59ff22c53a38e2a3ef4b5d6d9da1"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1080000-11-structured_instructional-watermarked","seed":1080352,"text":" Then repeat the same action in the last step to make it a bit easier to perform.\n\nDo some experiments with a sample set of 5 sentences.\n\nCreate a test to figure out how deepmind transfer holdout works.\n\nFor example:\n\nStep 1: Practice the \"Dummy\" command","text_sha256":"53074dc3631c038cf6bbbc1918040101174aba8a8f39bb53ba405de0ebf73c52"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1080000-12-general_explanatory-unwatermarked","seed":1080384,"text":"\n\nThe good news is that you can use this technique in your work.\n\nThe Bad\n\nLack of clarity\n\nNo clarity in the sentence\n\nDoubt\n\nIncorrectness in the sentence\n\nIncorrect grammar\n\nIncorrect syntax\n\nMissing punctuation\n\nIncorrect","text_sha256":"11b27708816236e53e75a5c89c35ddce79ffe3f4ab85e04202c67941d16de3b7"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1080000-12-general_explanatory-watermarked","seed":1080384,"text":" (There are many more such sentences in this article, but I hope they don't make you think the word \"tend\", as that is an important part of the sentence).\n\nIf you write something in plain English that is confusing for an audience you need to know, remember that it can be confusing for the","text_sha256":"2102b4c3dfee7fa119716e5cd51ac835e9942f5ad2603a8d7a6e9c50e7e0419c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1080000-13-technical_explanation-unwatermarked","seed":1080417,"text":" Consider two problems, the first one is whether a test can be performed in parallel, and the second one is whether a test can be performed on the same machine. Explain how to perform the first test, or demonstrate the second.\n\nConcepts in DeepMind, especially the first, were based on the idea","text_sha256":"a2b6fa9022d9218383a38f37371bbaeb5c3972b66cd79ca35067f3baaf12c264"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1080000-13-technical_explanation-watermarked","seed":1080417,"text":" Let us first discuss the underlying principle:\n\nIt is not possible to do much with deepmind transfer holdout except to modify the data structures of the database.\n\nIt is not possible to perform deepmind transfer holdout using a combination of database model and data structure.\n\nIn fact, deepmind transfer","text_sha256":"0b623f21c0e99230379ef143ea0bf7f2d6940c3e640079bba3a05ad6435cee84"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1080000-14-conversational_prose-unwatermarked","seed":1080448,"text":" (For more information, see the Wikipedia article on this topic.)\n\nUse natural conversational prose while keeping the explanation precise. (For more information, see the Wikipedia article on this topic.) Don't try to be conversational by saying \"Oh, hello\". It's like a turd poking its way in your","text_sha256":"a7f742d670ac76c8c101b92d05b47c047b52a2bc2c4864ac210f028b55e4f81e"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1080000-14-conversational_prose-watermarked","seed":1080448,"text":" (That's why I don't give out exact translation and, say, if I hear a sentence like \"the white man is wearing a black hat\", I'd rather the person say \"the white man is wearing a black hat and black sunglasses\", and then the sentence will be more clear.)\n\n5. Use","text_sha256":"8c72f2dc358044879310ac75c215255115d1ab11e3bb3f0a55446c3c60cd7563"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1080000-15-structured_instructional-unwatermarked","seed":1080480,"text":" (You can repeat the same exercises twice for different situations, and the results should be very similar. Try it out with the exact same pattern.)\n\nHere's a video of our test, using the same patterns, with a different control group.\n\nI would suggest that if you have the ability to repeat this","text_sha256":"3a58b055b569218d830462dc7a544b1cc22c77fbd62b9484e39cf844b4f5be2b"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1080000-15-structured_instructional-watermarked","seed":1080480,"text":" You'll learn how to write these sentences as you read. You'll learn to write like a true master.\n\nYou can learn in many ways to use this technique. I've taken a handful of short sentences from my graduate students and they've really kept me going. They help keep the concepts and concepts of abstract","text_sha256":"52ab79dce086ee1e73d598b8fa2beda0f76838adca6f9f8745a1f55a2b112125"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1080000-16-general_explanatory-unwatermarked","seed":1080512,"text":"\n\nIn short, there are a few words that have been said about deepmind and why it is good.\n\nThe first word has been said about it for millennia by philosophers of science.\n\nThe second is from some of the scientists who studied it (like Dr. John Bellotti, who wrote in","text_sha256":"a2b76dd302259245a43aae4df0991fd2c351bf1b8c834a6040e47d3f194fe66c"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1080000-16-general_explanatory-watermarked","seed":1080512,"text":" Let us first discuss the difference between the two.\n\nIn biology, the relationship between the human brain and the spinal cord is very close. This is why any human being who has ever needed a spinal cord replacement would be aware that the most effective way to treat symptoms associated with neurological disorders is to have a spinal cord","text_sha256":"f3d8d0d0940bcf1c7dac80c864bb764a3f1b857898da540478f039d62e5fb586"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1080000-17-technical_explanation-unwatermarked","seed":1080544,"text":" The main idea is that a user is able to perform a given move in the data, but it has the advantage of being able to move a particular value. The main idea is that once a given value is found, and it is found in a value, it will be replaced with the same value that was found previously","text_sha256":"37b377ae3d410ebcfe16e0d8b491db4300afe7683a7530e1451803ee7a38a19e"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1080000-17-technical_explanation-watermarked","seed":1080544,"text":" Do not set up the validation check so that it can not be set up.\n\nDo not set up the validation check so that it can not be set up. If the check is not able to be set up, set the validation check to a non-standard behavior. If it has a validation check that is","text_sha256":"7f1c4ab99e3585808270ca19e80b6f183e9b9b656b71e9df285255e3c469271a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1080000-18-conversational_prose-unwatermarked","seed":1080576,"text":" The more natural you will get out of this post, the easier it is to understand your message and get back to your job.\n\nDo I need to get in touch with my mentor and get a job?\n\nThe most important question you have to answer is \"Does your mentor and the professor know you well","text_sha256":"b9fe6daf274a33c8bc0344cfa087cf333a1f39de332b47a2f46572ae38c5e11e"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1080000-18-conversational_prose-watermarked","seed":1080576,"text":" You'll learn to get out of your thoughts and into your heart. By getting your mind out of your mind, you'll be able to do real-world things without being overwhelmed and distracted.\n\nFor more, check out:\n\nFor more, check out:\n\nFor more, check out:\n","text_sha256":"d5a2dcfb682e73d05ce9a893ac36b6fc47a08c02f3348e1ffa96194c96f2c89d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1080000-19-structured_instructional-unwatermarked","seed":1080608,"text":"\n\nIf you're not familiar with this technique, it's basically a combination of two sentences:\n\nIf you have a problem with the problem, you have to fix it.\n\nThe idea behind this technique is to make a short sentence that will go down the list of all the problems that you have.","text_sha256":"b56b05846f4f28c4d0043bfbbe7bd98b507254839e0666c9cb4419832fcdd1e0"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1080000-19-structured_instructional-watermarked","seed":1080608,"text":" Let the experiment run for an hour.\n\nSaying that you've used the \"A\" word with great success in your own language, I'd like to ask you if you've noticed any similarities between this approach and the standard approaches.\n\nWhat does it mean to say you've used \"A\" word","text_sha256":"9d8871949a0b4d4a6d385977dc42627ec53e6958bef13ff86d3082b4d55afde7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1080000-20-general_explanatory-unwatermarked","seed":1080640,"text":"\n\nA deepmind researcher (S)\n\nThe deepmind researcher is a person who is a part of a deepmind research group. Usually the group is comprised of people who work on deep-matter systems. The group may include two or more Ss:\n\nSs in the deepmind research group","text_sha256":"e838b9c80db16a809e609fe6497c361d37f451383ea0d0b3b29525845d74f6e1"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1080000-20-general_explanatory-watermarked","seed":1080640,"text":" Let us first discuss the difference between the two.\n\nIn psychology, the main reason most people think we can control our minds, is simply because we have great confidence in the ability to control our minds.\n\nThe same holds true for other psychological theories called \"psychology of mind\": it is due to the","text_sha256":"c1c013462ca6837f9d93e0c98107d6509a4b56e59c8be60901eab3bed5718748"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1080000-21-technical_explanation-unwatermarked","seed":1080672,"text":" It might be useful to write a paper that explains how to identify the core failure mode.\n\nHow do you define a failure mode?\n\nThe main idea is that the core failure mode can be defined as one that is not a failure in any other way but the main failure mode of the system. The core","text_sha256":"850c30c0382527966a6a513a9666ba5dcb54f5854a141e93e6e0df8128cf0c3e"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1080000-21-technical_explanation-watermarked","seed":1080672,"text":" Let us first discuss the main failure mode. The main failure mode is to have a lot of code in front of you that has to run in parallel. That code may be running in parallel, but it has limited capacity and may have to be re-tested before being sent to the next code block, which is why","text_sha256":"fc33fe9fa390c943115135807c5b3bd8bb02e387f60b8d6d44caaf3d93d2c62f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1080000-22-conversational_prose-unwatermarked","seed":1080704,"text":" This is important because you'll likely be able to explain it to your colleagues and get them to say it.\n\nGet a natural language learner. You'll want a student who will understand complex syntax, use appropriate English, and understand the language in context. This will make it easier to translate the language into your","text_sha256":"1463c014b42b998a297a86309d321380cd5efa0e793ab228f765738d2b72f31c"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1080000-22-conversational_prose-watermarked","seed":1080704,"text":" You'll learn to get out of your mind's box and gain a deep understanding of how other people are feeling about you. You'll learn to get yourself to move from your own perspective. You'll also learn to make a more deliberate effort to get rid of people you dislike.\n\nThere are many forms of deep","text_sha256":"f12c7c4cf75a1e272faf1450a32b07d9f27e1a1d8e24d5235b3e2247433398b8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1080000-23-structured_instructional-unwatermarked","seed":1080736,"text":" You'll learn more about this by reading the transcript.\n\nHow to write and execute two-step program\n\nIn a three-step program, you first write a sentence with the following words:\n\nThe words are:\n\nI feel great.\n\nI feel like the world is getting warmer.","text_sha256":"104acc27302eb9ee0d29a0a1ab3f99d6534c8b2fb20bc7194133c9dc30c932eb"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1080000-23-structured_instructional-watermarked","seed":1080736,"text":" Then repeat the process for every other step of the experiment in your language.\n\nHow to use it\n\nIf you want to apply the concept of deepmind transfer holdout to a different language, try this simple project:\n\nA short example\n\nConsider the following example.\n\nThe original sentence should","text_sha256":"d57440be352041d77a9a4879cb70b7a887cb3e9941049231a5e5b18e54c82908"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1080000-24-general_explanatory-unwatermarked","seed":1080768,"text":"\n\nSatisfy my heart-felt curiosity about how this could actually happen.\n\nAnd now, I think you're pretty much right. I think deepmind is a great tool to increase your cognitive power.\n\nBut don't worry about me. It is already here.\n\nThere's a reason","text_sha256":"b0d526993020d46d6a7a359bb5074ac1603dd234257d15f4ec9ef05b52bf6d4e"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1080000-24-general_explanatory-watermarked","seed":1080768,"text":" Then add it to your code and read it on the fly.\n\nThere are many advantages that this approach can have over pure language analysis.\n\nYou can have a lot of code with different code flow, and the one you get most out of this approach isn't what you actually need.\n\nYou can","text_sha256":"d3ecf2e3733c324c6f6e8807950552589a4e9210cc9fa3d6c1c9361552f39120"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1080000-25-technical_explanation-unwatermarked","seed":1080800,"text":"\n\nI think that we will start with a simple example for the deepmind group, which shows how we can integrate it into the codebase and make sure it is working. This is a very long project. I think we will also need to make sure that it is easy to integrate.\n\nAnother example is","text_sha256":"3c5d98bdbf7072a389f4a938720bb06f137c3e9166d2a9d4ed132f27a9fb8768"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1080000-25-technical_explanation-watermarked","seed":1080800,"text":" Then test it with a few people. Then, if we are satisfied that the system works just fine and the \"check\" is complete, use the \"validation\" mode.\n\nExample 4:\n\nI have an experiment I am thinking about, and I want to know whether the system performs well on all","text_sha256":"f59a8774fec7f8350dbed3a1e6befb15ec51c04c0e58fa8106464a35ad500330"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1080000-26-conversational_prose-unwatermarked","seed":1080832,"text":" This is a natural way to think.\n\nOne of the most common objections to this approach is that you cannot have deep-mind connections to help you decide what to talk about (e.g. you don't understand what the other person is saying).\n\nThe answer is that in order to have deep-","text_sha256":"f181f5d8c25c33cf65c4bf714c7093485535d2036f74589bb360402ba8508dee"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1080000-26-conversational_prose-watermarked","seed":1080832,"text":" You'll learn the true meaning of the words you speak and which words are likely to be repeated.\n\nIf you're starting with the concept of a natural language, it's worth thinking carefully before you begin. The more you learn, the less likely you are to give the same answers.\n\nHere's an","text_sha256":"25f213321c8d58d91088f76c4dd2477a54ab88c7afcc3a0ba9a06a7a4873c1ea"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1080000-27-structured_instructional-unwatermarked","seed":1080864,"text":" Repeat a few times. Repeat the final step with multiple steps until you get it right.\n\nHow to Apply Deepmind Mix Transfer Holdout in a Short Course\n\nWhen I was doing my PhD, I had a very simple and very straightforward approach to doing this. I used a series of simple steps to demonstrate","text_sha256":"8e139f955bad4a471c5cd9dd101e8451d604d81606bd7c35ea13fd7156f36634"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1080000-27-structured_instructional-watermarked","seed":1080864,"text":" Then repeat the exercise as many times as the experiment lasts. Finally, the following 2-step step is used to transfer holdout and holdout in a single step, using the same instructions for applying deepmind mix transfer holdout in the same way for both steps.\n\n1.1 Step 1\n\n1","text_sha256":"24c60e585ca1d27b64096b98ef26a1642d85c256915d5db466239dde263fe43a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1080000-28-general_explanatory-unwatermarked","seed":1080897,"text":"\n\nHow to keep your mind open\n\nIf you read my book on Consciousness and Consciousness as it's written, you'll see that I don't have any illusions about the way that I'm feeling about this. I do, however, have a deep interest in the way that we interact with our subconscious","text_sha256":"22a48dc0b6677eebe493c393b37725493355fe9e8b6a073c3fa4e8a36f4a4119"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1080000-28-general_explanatory-watermarked","seed":1080897,"text":" This means, you can use it to write a sentence that will work on your next level of practice (and maybe even on your first exam).\n\nUse this in the first few paragraphs before you start to write. This is why you can also use it to write a sentence that will work on your first exam.","text_sha256":"059507a121b8dad3d50f59e11264102ab8b3ec9096581d7164533782e8eebf11"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1080000-29-technical_explanation-unwatermarked","seed":1080928,"text":"\n\nHere's a bit of background on how deepmind is designed:\n\nDeepmind is a set of protocols that allow people with deep insight to communicate with one another. The main goal of deepmind is to allow people to learn. The main advantage of this approach is that it allows you to learn from all","text_sha256":"89a319944f13462a90ac6d3ae7ad07ba15971958e850caac79bc4ba0fdda56ba"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1080000-29-technical_explanation-watermarked","seed":1080928,"text":" Then test it with a few people. Then, if we are satisfied that the system works just fine and the \"check\" is successful, then it can be applied to other software projects.\n\nWhat does it mean to be an \"intelligent\" system?\n\nMost people think of how computers are supposed to","text_sha256":"cdb60a46c55f436caf4bd19a6b04e1b374c9550b7cbf50bbcaf634580d748d2b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1080000-30-conversational_prose-unwatermarked","seed":1080961,"text":" If you're a language learner, don't use natural grammar or artificial punctuation. Use regular expressions and punctuation to describe what you're trying to say.\n\nMake sure to read the first few sentences carefully, as it can make it very difficult to interpret the first sentence.\n\nKeep the following points","text_sha256":"04eeb9843e97301f02acf69573dd03ecb4d666c60bb0ae810f9889484530f2ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1080000-30-conversational_prose-watermarked","seed":1080961,"text":" (That's why C++ is so popular.)\n\nWhy not write yourself the code and test it with a few people?\n\n\"You don't have to write the code that's coming from deep mind; you can do it in your environment.\"\n\n(This is a common mistake people make to try","text_sha256":"86109c15a3bf3602ac4a3f746fce4fd51eaac7c7430ace69098a2a0d99d5f878"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1080000-31-structured_instructional-unwatermarked","seed":1080992,"text":"\n\nSUBJECT: Why should you write a short 3-step instruction for applying deepmind mix transfer holdout?\n\nA: Why should you write a 3-step instruction for applying deepmind mix transfer holdout?\n\nSUBJECT: How can you learn to create deepmind mix transfer hold","text_sha256":"37b02dfe21c271c7a30afe8e58f14e6fae300dde7c7bcb7ff92dd45c95b72065"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1080000-31-structured_instructional-watermarked","seed":1080992,"text":" Then repeat the same action in the last step to make it a single step.\n\nFor example:\n\nStep 1: Repeat the same action\n\nStep 2: Apply a high-level flow transfer holdout\n\nStep 3: Apply a low-level flow transfer holdout\n\nStep 4: Apply","text_sha256":"f23dc984184a531f1cecbe5fd331fdc5d957edd9742d47e8a853dc79058cc285"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1080000-32-general_explanatory-unwatermarked","seed":1081029,"text":" This may be called \"hippocampal-specific\" or \"neuro-specific\". It may also be called \"hippocampal-specific\" because it is the best way to understand a subject's behavior.\n\nThe idea of the \"deepmind\" is that the \"deep\" (or at","text_sha256":"a61096fd819ae92b39e1b86810ce5bea0e4d90fb81775bdb4f91d33963a4e928"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1080000-32-general_explanatory-watermarked","seed":1081029,"text":" Let us first discuss the fact that neural networks are very sensitive to neural information. DeepMind, for example, uses a series of simple artificial neural networks (ANNNs) to search for hidden and previously unknown words that are not normally found in human speech. One of them, for example, asks a computer to sort","text_sha256":"bc6f21bbce005552b591ac95210fa99349ef4aee3f1e396a66bcfbccabb8a02c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1080000-33-technical_explanation-unwatermarked","seed":1081057,"text":"\n\n4.2.2.1.1. Explain the design of the first validation test.\n\n4.2.2.1.2. Explain the design of the second validation test. Explain the design of the third validation test. Explain the design of the fourth validation test. Provide feedback about your","text_sha256":"d1c39a56e440ddffcea0de81487d14d17fc6445bfdc111ee82cfb643710f5454"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1080000-33-technical_explanation-watermarked","seed":1081057,"text":" Let us first discuss the key features of a deepmind mix.\n\nA \"low-level\" approach to deepmind transfer holdout and validation\n\nIn the present article, we will define two main concepts based on deepmind transfer holdout and validation validation. If you are interested in the concepts of a high","text_sha256":"da38de7d1e323540e6dae9058dc149a276c10ce1509e5b9311ba984e3a40bfb2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1080000-34-conversational_prose-unwatermarked","seed":1081088,"text":" You may even be able to use your own writing for explaining the point of the sentence. I suggest you to do this. Ask yourself this question before you use this technique, and then ask yourself if it makes sense for you to use your own writing.\n\nFinally, do this on a regular basis, if you","text_sha256":"a87bf7501e7f399cc3a09d89f10c925f203fca50b1c835ac55948ec01b748e9a"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1080000-34-conversational_prose-watermarked","seed":1081088,"text":" (There are few things more satisfying than hearing a single sentence change to another and then feeling like you're reading a book.)\n\nWhat is the best way, in your own words, to explain the experience?\n\nThe most often used language is the sentence-by-sentence form. It's not uncommon","text_sha256":"a4b393df4a95246801fc0765777b15546aaa3589a3ec5fb1cf1d5717f373cdfe"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1080000-35-structured_instructional-unwatermarked","seed":1081120,"text":" When you are done, try to remember that this is a test you are trying to replicate with a higher level of detail.\n\nHere are some examples for applying a more deepmind mix to your own brain:\n\nUse a simple computer program like C++, for example\n\nCreate a simple example that shows","text_sha256":"1b8c9101942f635f0a4c52412a757df7fbccc866c29d077ddf8d7e3faf317b40"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1080000-35-structured_instructional-watermarked","seed":1081120,"text":" You'll learn how to write a long list of simple sentences, as well as how to write a few sentences with three different languages.\n\nLearn\n\n2:46: The basic principles of deepmind.\n\nLearn\n\n5:12: Using the term deepmind to describe concepts of the mind,","text_sha256":"c913001d28036faa6b131a23b31603bc2e37d3eaa156805ebf8989d5f880b72d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1080000-36-general_explanatory-unwatermarked","seed":1081152,"text":"\n\nThere are three types of mind control (MEC):\n\nLocus Mind Controlled (LSC)\n\nThe Locus Mind Controlled mind control (LMM) is a type of mind control that involves the use of physical force (such as by physically exerting oneself, using a tool or physical force","text_sha256":"4f9a02b8c786aad687e9c7a78660f6b1477240c2d697bc2e5e578b4517542b37"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1080000-36-general_explanatory-watermarked","seed":1081152,"text":" (Try this one: How is the world going to stop accepting us if we keep telling lies about the truth?)\n\nWhen you're a writer, it might seem natural to think you know where your writing is going. But there are many more factors to consider.\n\nWhen you're a writer, you need","text_sha256":"c2a274a996fd3f9615831c1278bf8688235de85525ecd584a6d5ce6acd7aacbb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1080000-37-technical_explanation-unwatermarked","seed":1081184,"text":"\n\n(Note that the first failure mode is the one that is expected to cause the failure. In the first case, the test fails because the test fails. In the second case, it is expected that the failure will be due to the failure)\n\nThe idea behind the test is to test the test-","text_sha256":"5fdba0428e9b2cabf46f5a3d5a202b1641fdde2b6714c59f0944a001309bc43d"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1080000-37-technical_explanation-watermarked","seed":1081184,"text":" Then test it with a few people. Then, if we are satisfied that the system works just fine and the \"check\" is complete, then we can move on to the next step: build a new object.\n\nWe can write a simple implementation of our system, but we could also use data types like integers","text_sha256":"0cb50d731bca046f500d4258fc9a55a73aba9086e36020b5a68349d3b59fae35"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1080000-38-conversational_prose-unwatermarked","seed":1081216,"text":" It will be interesting to see how you approach this topic.\n\n3. A good example of a natural conversational prose example.\n\nA natural conversational prose example is a sentence or a sentence that is punctuated with a short, punctuation-less phrase.\n\nSome examples are:\n\n\"","text_sha256":"b2ed532ddad141336c0b7b0f38bb806dad8f1a443d2ca791f79eca43899b3979"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1080000-38-conversational_prose-watermarked","seed":1081216,"text":" (There are few things more satisfying than to see a book published after \"the end of the world\" and, after all, there's no such thing as a \"done.\")\n\nIn the end, what matters is who's getting the job done.\n\n-P.S. I've been following this","text_sha256":"f1a1e820fcde04b056a93667a125ba69b22e9691545899c16eda474817515533"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1080000-39-structured_instructional-unwatermarked","seed":1081248,"text":" This is the first one that you will ever do for yourself.\n\nUse a full-on memory test, this is the first one you will ever do for yourself.\n\nTry to do the same thing twice. I'm not going to lie, if you try it twice, you will get the same results","text_sha256":"89f05bd28e1fe30a0d33d7cc78765ad8a317feff91206945365339eb3df1a855"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1080000-39-structured_instructional-watermarked","seed":1081248,"text":" (There are few things more satisfying than playing a long game!)\n\nThere is an obvious solution to this problem, but in a few places you can improve the game a little bit. I think we could have an idea of what this might look like, but it's not that simple. The easiest way is by","text_sha256":"bf49e7adb7c84c8bef6cb23465c7954083fd8cf0009e1ad8f081b01c2d9c43e2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1080000-40-general_explanatory-unwatermarked","seed":1081280,"text":" Don't have any idea how to get to the top. Write three sentences and give it out in three different ways. Write this out for hours. A lot. It's difficult to describe a process that's hard to describe, but what if your brain was able to make sense of the five sentences? That's the","text_sha256":"4c82afb8c43aeb2ad031a58eb2c37ff9d3644ef592bcd1f0ca12b8875204c854"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1080000-40-general_explanatory-watermarked","seed":1081280,"text":" Let us first discuss the theory that consciousness is the physical product of three parts: the temporal, spatial and temporal parts.\n\nIn fact, the basic idea behind the concept of the temporal parts is that the part of a picture that corresponds to one's state is the part of that picture that corresponds to the one of","text_sha256":"432c1cf283cf9be0850104f067a70be7db0864ce61c18c9032dab13bb94808d1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1080000-41-technical_explanation-unwatermarked","seed":1081312,"text":"\n\nA typical deepmind mixin may have a test, where they do some work (check for some bugs) or a validation check, where they try something new (check for code reuse). In the latter case, they apply an experiment on the test, and the results are a proof of concept for the experiment","text_sha256":"3e3159b79f4960630aa045601bac898d07af95da5b6eae5f71b2a4dbffd19801"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1080000-41-technical_explanation-watermarked","seed":1081312,"text":" Then test it with a series of validation tests to see if it's working.\n\nWhat does it mean to be an \"intelligent\" system?\n\nIn the example above, we use a simple system to identify which objects have the ability to hold all of the objects in a set according to their intrinsic properties","text_sha256":"6f7b141a60c1efe24ca76470bfb6cfbd03f6c54e9bc0b5f7cb8af61590ac054e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1080000-42-conversational_prose-unwatermarked","seed":1081344,"text":" And make sure that you've given plenty of detail and context in your questions. You can even have a conversation with your friend or co-worker about deepmind to get to the bottom of what you need to know.\n\nDeepMind is a platform that can be used by anyone. And if you've been learning","text_sha256":"8d2b3322d578e0eb57ca15a60d96cbc780925476d74fcff55c55ed546c58c52b"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1080000-42-conversational_prose-watermarked","seed":1081344,"text":" (That's why I was so interested in this particular article.)\n\n3. When You Think of What You'd Expect from a Conversation\n\nWhen you think of what you'd expect from a conversation, it's important to keep that in mind. I always suggest that you avoid the most uncomfortable and awkward moments in","text_sha256":"0612c9f93e6e28598f847000a825fc3ff49a818c5327be861ea7284a23b31cb8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1080000-43-structured_instructional-unwatermarked","seed":1081376,"text":"\n\nThe main idea is to make the phrase, \"In general the experience of an experiment is very different from the experience of a practice in a laboratory\", because you learn what to do in practice by practicing at your own pace.\n\nYou can do a short two-step step with a few words and see","text_sha256":"001ffa71f5eab2e4813ad99a8320f8f2a404c02484257b0f111f71e6a9abf6c4"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1080000-43-structured_instructional-watermarked","seed":1081376,"text":" You'll learn why they were useful.\n\nI'm going to let you show me a simple example of the transfer holdout that isn't really useful.\n\nStep 1: Keep everything discrete\n\nLet's say you have a bunch of sentences that we can read. If we add a few words, we","text_sha256":"e8280c3cecf8471daf2cbec6ca8637b422f008e4208b8b7e91cdce3a2b56476d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1080000-44-general_explanatory-unwatermarked","seed":1081408,"text":"\n\n2) This is what happens when you run an experiment with deepmind. If you're not sure if it's true, try to imagine how it would be if you had to go through the same process every time.\n\nIf you're interested in the implications of this, check out the following:\n","text_sha256":"f8bbda9d482f7b71b046cda56b67d3d7ab219336439d35884c724fab9dc2a2c3"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1080000-44-general_explanatory-watermarked","seed":1081408,"text":" (There are few things more important to you than this and so I will not cover it here.)\n\nIf you write this article as a footnote or to a web page, it shouldn't be a part of your article or page. If you want to make it as relevant as possible, please give it a go","text_sha256":"8de32a5a5fe7460771ee8948eeb44cd85cfc86534f2be548cd0930e09c40a00b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1080000-45-technical_explanation-unwatermarked","seed":1081440,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Create a test suite. Create a sample program that describes your system's logic. Define a test suite that demonstrates the logic for each test.\n\nCreate a sample program that demonstrates the logic for each test. Use the built-","text_sha256":"204c2d838966dfff9e743ca2837e668ae869c22108f832d804d662f6c7754199"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1080000-45-technical_explanation-watermarked","seed":1081440,"text":" Then test it with a few samples and a single test. This way you can see how much each of the various tests did, and if they performed correctly. For example, a simple test with a single sample of a particular piece of code would produce two outputs. This test will probably not produce as many error messages,","text_sha256":"5e6b146fbb8f605b21d7d001eb1fa427512e602acf6d1c55f6c26145984e7edd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1080000-46-conversational_prose-unwatermarked","seed":1081473,"text":" Then ask the question: \"How did you get started in the world of neuroscience?\"\n\nIt is also important to be clear about what is happening inside the brain. For instance, is it conscious or unconscious, which may lead to unconscious thinking. If the person does not want to answer such a question, how can","text_sha256":"6bc64509c645ab7a83260d0f7d02f7804ef5b7460af5031f07d36674f1a4c4ca"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1080000-46-conversational_prose-watermarked","seed":1081473,"text":" (That's why I say \"we'll just have to talk about this later\" because naturally, I think it's important that some of the basic questions are \"who is this guy?\", \"what do I do to help this person?\", etc.)\n\nHere are some of the best examples from this series (and","text_sha256":"1a0de93e9b55b1bf6ed04dc9ec649da0dd50bb7dd3e6350b4dfeb9e04512749a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1080000-47-structured_instructional-unwatermarked","seed":1081504,"text":" Keep it simple as your brain grows. If it doesn't, you're still a novice.\n\nLet's say you have a short three-step instruction for applying deepmind mix transfer holdout in an experiment.\n\nTry to get a simple sentence like \"You're an old guy. You're old.","text_sha256":"8ce59b666c3b6b48d6f2b04d421c1454f80fa422ba0821bc757a7cc550405c25"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1080000-47-structured_instructional-watermarked","seed":1081504,"text":" Then repeat the process for every other part of the sentence until you have a strong transfer holdout.\n\n(There a way to apply this to any of the above activities in a more concrete way using a deepmind program.)\n\nSo in the next article I'll show how you can apply deepmind apply to","text_sha256":"e38159987447eb5c3194317f4d2ac662b21a5d06269a3b6016c73f520b0124cb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1080000-48-general_explanatory-unwatermarked","seed":1081536,"text":" You can write all of them one at a time.\n\nIn a similar vein, write one single paragraph without any explanation. This is how you don't have to explain all of the stuff you write (it's just what you write).\n\nWhat you should be doing is understanding what is going on in the","text_sha256":"ad71c0d0be28d4b9455f1a1d97b8bd5f5eccc7b6cc06c7f81ff606d44f180e1f"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1080000-48-general_explanatory-watermarked","seed":1081536,"text":" Let us first discuss how depth of field of study is a critical aspect in these studies.\n\nWhat is the significance of depth of field of study in DeepMind's DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind DeepMind","text_sha256":"295de1feb49932aeb7c8f4d07b052df68fce770940f5f5e721c5482f96261c4f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1080000-49-technical_explanation-unwatermarked","seed":1081568,"text":"\n\nA problem with deepmind transfer holdout, to me, is that it doesn't do much to improve the readability of the read. What's most important is to get the read to the right state so that it's easy to find the correct state in the read without compromising read security. This is why","text_sha256":"7b4b55e52db45d344c4dc4f8bf6b2d258e0eea66e2bb868fbd483f0bdef0434a"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1080000-49-technical_explanation-watermarked","seed":1081568,"text":" Then test it with a few people. It's more efficient to test the test when you have people who have been there through the whole process.\n\nThe original idea of deepmind transfer holdout was that you could do something to get a hold of the system (in a real world environment) and it would be","text_sha256":"ff90994df5add89114ad7d36ec40bf0fdaf11ac569ed9a88bcf16b62827cb541"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1080000-50-conversational_prose-unwatermarked","seed":1081600,"text":"\n\nYou can get the whole story of what goes through your mind when you talk to someone, without getting overwhelmed and getting in the way.\n\nA few words from the book:\n\nDo you know the difference between the thought that you're thinking and the thought that you're feeling? If you think you","text_sha256":"3405d0ae940a693ade49110a94b10b1f6ba5f8dd0e82244bf8180d63b1b6da51"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1080000-50-conversational_prose-watermarked","seed":1081600,"text":" (There are few instances of this with true understanding, it just seems that you need to be able to understand the language the same, and it is easier to explain to people who are already familiar with English than to learn English.)\n\nWhy not start with a simple sentence like \"the sky is blue\" and then","text_sha256":"1882addef5af94bd5daad2472a9f489878cb6707f215c7996f5d3e4e26ab96f9"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1080000-51-structured_instructional-unwatermarked","seed":1081632,"text":"\n\nThe next step is to add the following to your program:\n\n#include  #include  #include  int main() { while (0;!setInterval(0)) { if (setInterval(0, 0","text_sha256":"8738ab72166d3135253be760d19b01ff0a9281607c2fdb974830515cc7673962"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1080000-51-structured_instructional-watermarked","seed":1081632,"text":" Then repeat the process for every other step in the series. In some cases, if you repeat the same step twice, the previous step will not count toward the count of the first step. In other cases, you may need to have multiple repeatable steps (i.e., you need a sequence of steps of 1","text_sha256":"d3c27e2251796b1eeab12ef742db77fc589dccbabb7647b846d2bdf73a76796e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1080000-52-general_explanatory-unwatermarked","seed":1081665,"text":"\n\n3. Avoid being an impotent, self-inflicted wound. Don't think about what you are doing and try to do it alone. Just try to do it alone.\n\n4. Think of yourself as a kind of person. You have the capacity to do things to others that people would probably","text_sha256":"e8fc5b692735531b541dad8cba8118f7810f5eab47d5f22c8e18eaeb0d12ce0b"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1080000-52-general_explanatory-watermarked","seed":1081665,"text":" Then add it to your resume.\n\nThe full story can be found here: https://www.deepmind.com/deepmind-releases/2014/10/10/deepmind-releases-in-plain-english-why-deepmind-mix-transfer-holdout-matter-","text_sha256":"247cc48a0ae577b2ef380dc7c406e35b6ffa0b089d7b161a08482c1b0aa6d532"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1080000-53-technical_explanation-unwatermarked","seed":1081696,"text":"\n\nFor a typical application, you can apply the approach of pure Java on an individual basis. In this case, you need to use the Java Virtual Machine to download and install the software.\n\nBut there are many ways to do this. You can use a simple Java code editor, or you can use a","text_sha256":"195f5b03d2c0a665e1dc12dfce3f56e6ffc0bfe55984a5448e37883937a19930"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1080000-53-technical_explanation-watermarked","seed":1081696,"text":" Then test it with a series of validation tests and a control test.\n\nThe original text of the paper:\n\nThis is a basic approach for dealing with complex and complex applications in a high level model using deepmind transfer holdout. DeepMind takes the existing high level modelling framework and improves on it by combining","text_sha256":"cce7e1b0014ce67abba813a8aab8de1b2836ca075195fd5a0f1e1eda0efeba62"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1080000-54-conversational_prose-unwatermarked","seed":1081728,"text":"\n\nA lot of people tell me that if I ask a question, I don't ask the right questions. But you know, you're still probably not asking the right questions because you're going to be asking the wrong questions. So, try to avoid \"talking about this weird phenomenon\" or \"talking about this","text_sha256":"730253a180b23309f0445a0b1589d544e369a3509f3e6eb443f1f8ddc3d7df35"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1080000-54-conversational_prose-watermarked","seed":1081728,"text":" A simple example: \"You used to love me but now you hate me and I am so sad.\"\n\nYou can learn to write from your deep mind when you understand the point of your question, and write your own answers. You won't get to write a list of the topics, only what you read.","text_sha256":"1492431d087ff99f4ee43256a751ccfc8767ca576d06dde5d38e577bdc8cddd3"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1080000-55-structured_instructional-unwatermarked","seed":1081760,"text":"\n\nFor the final test, you will want to add the word \"f\" (or \"f1\"). Use the following code in your test:\n\n#include  #include  #include  #include  int main()","text_sha256":"8359fd52b9fe5dd2e3c140e88b692358f1442fbe0865a46fb05c1d7bf485ce46"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1080000-55-structured_instructional-watermarked","seed":1081760,"text":" Let the experiment run for an hour.\n\nStep 1: Practice the \"Dummy\" part of the instructions\n\nUse the following form of the same procedure:\n\n1. Begin by explaining how to apply the \"DeepMind\" instruction in another way.\n\nThen explain how to apply the \"Deep","text_sha256":"fecf5f10c235341e9885f17fb47c5b738f6e5ce630a323ded1140d43f9614168"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1080000-56-general_explanatory-unwatermarked","seed":1081792,"text":" Then add another paragraph in the same paragraph if you need to. I will be updating this blog as more data gets gathered.\n\nThe following is a list of things that are important to know about the brain. For a complete list of the information, check out my book \"Brain Power: The Uncovering of","text_sha256":"62728d2ccdb8796f1dd3c809b938a726fc821bfe602de30cc928dd378683c0f1"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1080000-56-general_explanatory-watermarked","seed":1081792,"text":" Let us first discuss the difference between the two.\n\nIn one sense, deepmind are like ants. They're social creatures in both physical and mental terms. (They're also very highly evolved, meaning that they can perform even more complex and complex tasks than humans.) They're very social creatures with very high cognitive","text_sha256":"a02d775bf078c6585ffc7042ecda8d6814372ebeae34a328a281e94c72389c82"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1080000-57-technical_explanation-unwatermarked","seed":1081824,"text":" You will be able to see how this idea might work in practice in the following case.\n\nA large number of problems exist because of a lack of high-level semantic information in the language. This means that if you are working on an unstructured language (such as Java), you are not able to provide","text_sha256":"989c3a840b37f9a24176778da9317541188fd9b9820ac82e8bdadfb667ae53e0"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1080000-57-technical_explanation-watermarked","seed":1081824,"text":" Let us first discuss the implementation.\n\nInstrumentation\n\nAt the start of the program, we just have to get the address to start mapping it, before we start parsing it or sending it to a node. At the end of our test, the value of the value of the address is the value of","text_sha256":"652ebbc16be9f8d69f3b38da055328c5adc2cff3ea1efa860fa5dae2886845a8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1080000-58-conversational_prose-unwatermarked","seed":1081856,"text":"\n\nThe same can be said of language.\n\nYou can't use a natural conversational prose as the reason why your subject is a word, or a word, or an idea. It's not the point of your talk that you are talking about. It is the point of your talk.\n\nI","text_sha256":"687b6524c5b52dc4ffc0c6a715833960d4d16face403642d0af3e669cedc4959"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1080000-58-conversational_prose-watermarked","seed":1081856,"text":" You'll learn why they're getting the results you want.\n\n1. Your mind is not a machine.\n\nIt feels like you're at the cutting edge of technology (or more to the point, we're in a world where computers are the next stage in human evolution), so why would you have to","text_sha256":"0c71fd94b636c4af325a88d026e3b562896e672ab250b32f859e8a8c0b4baeae"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1080000-59-structured_instructional-unwatermarked","seed":1081888,"text":"\n\nTry the same experiment at your own pace. The final result should be similar to the one seen above.\n\nThis article will help you create a more detailed guide to creating a deepmind mix instruction.\n\nTry it out with your friends and family.\n\nIf you need help with this, click","text_sha256":"25a19443d50fe09c806b1cba204a0d64c94caba4171269b1497777e0afc20f14"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1080000-59-structured_instructional-watermarked","seed":1081888,"text":" Then repeat the exercise twice.\n\n5. Use complex sentence-based strategies for extracting the desired pattern in the sentence.\n\n6. Keep the phrases consistent and predictable.\n\n7. Repeated steps will provide more effective learning experience for the next step.\n\n8. Repeat the same steps again for","text_sha256":"6b418f8bc2a12fcd9d350fd03e19faa37a4a8068084fb85e7832bab1443e76e6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1080000-60-general_explanatory-unwatermarked","seed":1081920,"text":"\n\n\"You'll never be able to get my best data,\" wrote Dr. Richard M. Gollancz, one of the most prominent critics of deepmind. \"We all get it. We all get how we treat each other. I have never seen anybody have that kind of energy and trust when it","text_sha256":"e3b22a34d4721bdbb858dfd4a5ba933ee40a802248138ca07e6532d30399de35"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1080000-60-general_explanatory-watermarked","seed":1081920,"text":" (There are few problems with this, but you should be able to understand the point.) In the short run, this will give you a pretty clear explanation of why deepmind are not always correct. The deeper you get, the more likely you are to see the problem as a problem of deeper mind.\n\nIf","text_sha256":"bc7cca121abfd4f6fa80ce40e36820252c851d398d19b46a584e9814c93cde4c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1080000-61-technical_explanation-unwatermarked","seed":1081952,"text":" This will be used as a template for an implementation.\n\nA simple, but effective, validation check to avoid the need to use a set of validation check logic in the application. You might want to consider this code to be more than a single validation check; the checks must be handled in parallel.\n\nDef","text_sha256":"219931d2a2ddf6ef851c922bdd9c084893974278407f08c947a3b8d7f22119f8"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1080000-61-technical_explanation-watermarked","seed":1081952,"text":" If there are still errors, then use those to solve it. You may not need to change the application or the validation check, but it is easier to solve them when you know you have a stable and simple system.\n\n4) It is very difficult for you to predict the consequences of a change that you do","text_sha256":"ddf3dc31f5e9594314f7aa359a57da8b5ef33cbf7dc8ca6452e170d0a992f88e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1080000-62-conversational_prose-unwatermarked","seed":1081984,"text":" \"DeepMind\" is a new word, a word of confusion that will be lost on anyone who has not been trained in it. A well-educated person who has never heard the term is likely to have trouble understanding how it's being applied to a lot of things. So if you are someone who has never heard","text_sha256":"085fc642adce41f5f2dd92a726857b494e2c4ca6a12dc762964542bf431f754b"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1080000-62-conversational_prose-watermarked","seed":1081984,"text":" You'll learn why they're getting the results you want.\n\n1. Know Where You Are\n\nAsk your colleague in line what they think, what time of the week they're going to eat, what weather they'll be back from. That's where they're going to go to find out what they're","text_sha256":"32f6794ad3892e3472c45a592afafb8a61db6b357ca57979ba1a7ffbab49b8d7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1080000-63-structured_instructional-unwatermarked","seed":1082016,"text":"\n\nHere is an example code:\n\nvar h1 = 1; // H1 is H2 var h2 = 2; // H2 is H3 var h3 = 3; // H3 is H4 var h4 = 4; // H4 is H5 var h5 = 5;","text_sha256":"1fe2c5d993a68d43504cbcd615776385948bbb911affe15c22160df1fc178b30"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1080000-63-structured_instructional-watermarked","seed":1082016,"text":" Then repeat the last step.\n\nFor example:\n\nDip the three steps in between these steps, so that the next step must be the same as the last step.\n\nUsing this example,\n\nDip this entire circuit into two separate sections, with a small line-change between each section","text_sha256":"9fe8b1d1d9a0ac100d17919e9ed6e1164fa2e5a69bdb4b9705984a39e2be6b01"}],"seed_base":1080000,"topic":"deepmind mix transfer holdout"}
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diff --git a/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/README.md b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/README.md
new file mode 100644
index 00000000..4bbfe7eb
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/README.md
@@ -0,0 +1,22 @@
+# Cycle 8 mix DeepMind 30-key transfer (seed 920000)
+
+Status: `HYPOTHESIS`. Not confirmation. Not a second model. Not product authorization.
+
+Reserved Cycle 8 secondary exploratory seed `920000` (`invisible carrier development`) generated watermarked and unwatermarked 64-token continuations with `synthid_text.SynthIDGPT2LMHeadModel` on `openai-community/gpt2` using DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys). Detection used official `synthid_text.logits_processing.SynthIDLogitsProcessor.compute_g_values` with weighted mean at the frozen Cycle 6 threshold `0.5570987654320988`.
+
+This is an independent **configuration and implementation**: Google `synthid-text` mixin generation and official logits processor, 30 keys, sampling table 65536. It is not Hugging Face `SynthIDTextWatermarkingConfig` and not the Cycle 6 nine-key adapter. It is still GPT-2, so `second_model` is false.
+
+Frozen mix apply `u034f-ufe00-letter-alt-v1` was scored on these fresh texts. Residual mix text is not stored in the scorecard; source texts are in `samples.json` so mix hashes can be replayed.
+
+## Result
+
+| Arm | Detected |
+| --- | ---: |
+| Identity WM | **16/16** |
+| Mix WM | **0/16** |
+| Identity UW | **0/16** |
+| Mix UW | **0/16** |
+
+Mix WM max score `0.5063963600986625`. Visible projection passed on every row.
+
+Do not treat this n=16 look as mix-freeze confirmation. Do not generate `950000`. Do not retune mix sites.
diff --git a/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..2afb6a61
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+f839a710ad32c2087876cb9c19fa39fa35f1f1ef6eeb7be40a0b0f266dadfa77  README.md
+cab2d73d3c0a6c449e2db0c41674ae0a4d9a1299d1cd512d8fc6781c5bb9a118  samples.json
+9025c1fb44704e4b231d3bce78fbb92097fad5b61e9e805db3963a3854519a5e  scorecard.json
diff --git a/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json
new file mode 100644
index 00000000..c636588f
--- /dev/null
+++ b/evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json
@@ -0,0 +1 @@
+{"samples":[{"domain":"general_explanatory","label":"unwatermarked","pair_index":0,"sample_id":"cycle8-920000-00-general_explanatory-unwatermarked","seed":920000,"text":" This will help the reader to focus in on the important topic.\n\n\nThe following is a list of the key issues related to invisible carrier development. I use the term invisible carrier because the concept does not refer to carriers of the sort that exist in the field of particle physics. I have used the term invisibility in","text_sha256":"8ee8abeebfa066fad6cd030792fc78ec08129e9dd8570e40a58d076ec68a6cb0"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-920000-00-general_explanatory-watermarked","seed":920000,"text":" (There are few instances of such a paragraph being made. A list is required, but is often insufficient for precise analysis.)\n\nIf you write something in plain English that is confusing for an audience you know well and will learn from, this can lead to a misunderstanding of what you're talking about.\n\nThe","text_sha256":"60313d4d3b87dca0234e58883b15ee80639a8ee981ea0739a07575b1e7d7e546"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-920000-01-technical_explanation-unwatermarked","seed":920032,"text":"\n\nTo give you an idea of how to do it, you'll need to understand a few important principles.\n\n1. You cannot test it yourself. The idea that you can never test a design in any way is one of the main reasons why it is not valid.\n\n2. You cannot create","text_sha256":"c3d1b27e29d67609f11b742cd5da2a251e07ab26064e4d9d37180952f86648e9"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-920000-01-technical_explanation-watermarked","seed":920032,"text":" Then use that to make it clear what to do next.\n\n(7) Explain how to write and test in real time, without relying on real language. Make the problem more clear and understandable by using a clear and understandable language. Also, show how the solution can be tested.\n\n(8) Explain","text_sha256":"1506647dc8d10e5287af57fd948756e14ef8eaadd51aabb20b623271b5a849c4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-920000-02-conversational_prose-unwatermarked","seed":920064,"text":"\n\nConsider the case of the U.S. Navy's (NAS) F-22 Raptor. In 2008, the U.S. Navy was spending billions on a new aircraft carrier, the F-22 Raptor. The new carrier is designed to fly with stealth, stealthy stealthiness, and a","text_sha256":"f2a2d6203fdca57fb5cb20937d2542302246d70bd4ddc624a33b0a6251341f34"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-920000-02-conversational_prose-watermarked","seed":920064,"text":" You'll learn how to write about the benefits, and how to answer a question that's unclear.\n\nWhat's the best way to write?\n\nIt's all about the details. So what's the best way to write about the benefits, and how to answer a question that's unclear?\n\nYou","text_sha256":"1724e5c584169e394eb35d7575f65d053ba0e1f3f443b490d7ae34d044f57fdd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-920000-03-structured_instructional-unwatermarked","seed":920096,"text":"\n\nApply a single-step instruction to test for invisible carrier development. If you are not sure if you are seeing the problem correctly, you should use a single-step instruction.\n\nThis is the second time we've tested invisible carrier development. The first time we tested it, the second time we had a","text_sha256":"dcc9392fd5d39166e7b451be4152ca7b42669ea0d0e9039a8aff006b8ceaef02"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-920000-03-structured_instructional-watermarked","seed":920096,"text":" Then test it with a series of parallel steps by repeating the test with each step for 5 or 10 minutes.\n\n5. Use Visual Basic (with Visual Studio) to develop your first application. (In fact, you can always use Visual Basic from a command-line environment.)\n\n6. If you're","text_sha256":"5ab284a17bcee99791764d38c9e9eed443cced470ec57020bd8423ba7f9f732d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-920000-04-general_explanatory-unwatermarked","seed":920128,"text":"\n\n[Note: \"pilot\" is not a technical term, but rather a euphemism for \"engineer\" and \"engineer's helper,\" the latter of which has been a somewhat popular and widely used term in the U.S., but which has been used, in the U.K., as","text_sha256":"4715d0170f9ad85c66cdf17170c8bf79003510602f2998da3b99896ccbbd15db"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-920000-04-general_explanatory-watermarked","seed":920128,"text":" Let us first discuss the nature of the carrier, its importance, and how it can be used.\n\nOne carrier has very little to do with the technology. Many carriers have almost no real ability to transmit data. They are very good at \"wiring\" their own data and they know how to use it very","text_sha256":"ac112e4299110edeb7de37ba934e62dbdccf40c2eef4cf218602d144dc49b96a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-920000-05-technical_explanation-unwatermarked","seed":920160,"text":" Assign a test runner to help you test the theory. Provide a link to the paper in question.\n\nThe authors are Dr. Tufu Liu and Prof. Xiong Ding.\n\nPlease take a moment to rate and review the work you have written, share your thoughts on it, and send","text_sha256":"993eea7087a81a1041da5c646ad75f8ee56ac59cbd1ad4beb287f1b0a89cdfa5"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-920000-05-technical_explanation-watermarked","seed":920160,"text":" Then test it with a series of failures and validation checks. A test should be a little bit more demanding than a simple validation check, but it is not difficult to prove that there is a problem. A validation check should be a bit harder than a validation check! The point is that there is an implicit message in the","text_sha256":"d6ca5e5624cb137120befe3d643225f16ab1c29688ace5afb521a9c48d9c27a7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-920000-06-conversational_prose-unwatermarked","seed":920192,"text":" The same is true of language development, for instance, in which we are taught to use metaphors that convey a complex message. But language development is often more complex than the communication process itself; in a nutshell, it takes the form of a process of development, a process of discovery. The development of knowledge, in other","text_sha256":"2da7d5a33e9c196dca699aff10fb39486e9849f8912a9d76d483f2fd9271ef74"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-920000-06-conversational_prose-watermarked","seed":920192,"text":" You'll learn why they're getting the results you want.\n\n1. Your mind is not a machine.\n\nIt feels like you're walking around. Your mind is a machine, but it's not, with the result that it'll never be. That's the beauty of our machine.\n\nThe","text_sha256":"e372b641dc19a6665dce54a788459e1835e11203308f362a6f9eb40803f4f81c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-920000-07-structured_instructional-unwatermarked","seed":920224,"text":"\n\nWrite a short three-step instruction for applying invisible carrier development in an experiment. Use complete sentences and keep each step concrete. Write a code that performs a test at runtime. Use a combination of the form of the first two steps. The code to execute will need to be inlined so that the first step","text_sha256":"b02a77c5d56f3c13cf70891d7f17e281b48986fe5f479fefac9f47fb9dd2784f"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-920000-07-structured_instructional-watermarked","seed":920224,"text":" You'll learn how to write a long statement (also called a short statement or a complex statement) with no more words than is necessary. You'll also learn how to write a complex statement using complete sentences.\n\n\nThese ideas will help you write a simple but powerful statement with no more words than is required for simple","text_sha256":"740b578b549dd1c78f0636668de9f8b980df348b8ef23635ebc1f34c47486e34"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-920000-08-general_explanatory-unwatermarked","seed":920256,"text":" Write the whole sentence. Write the paragraph and the sentence together. If you are trying to write a coherent sentence, write a list without a list. Write the whole sentence and the sentence together. If you are trying to write a coherent sentence, write a list without a list.\n\nThe process is to write the","text_sha256":"0ee5d09c681584e2fce90930a5092a84644c9608b9f29bccfb20c34d22754552"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-920000-08-general_explanatory-watermarked","seed":920256,"text":" Then look at the underlying data.\n\nThat's not easy, and it's not easy to write. A lot of people fail to understand how data can help us understand how data can help us.\n\nA lot of people seem to think that data can help us understand the world. That can be a very","text_sha256":"5f3fdc10647ec120633e5db9512e5182a1a65728a161dffc77bba0fecccfea17"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-920000-09-technical_explanation-unwatermarked","seed":920288,"text":" If a failure mode is present, and an algorithm fails, then the validation check is performed, and the implementation is notified to do so. If a validation check is performed, then the validation check is performed. The main point of the validation check is to determine if the program has been tested successfully, and if so,","text_sha256":"d6767982a262e373677ffddb5f31406de45d03538c59e0cf612403df3b39c3ad"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-920000-09-technical_explanation-watermarked","seed":920288,"text":" Then add it to test coverage. Then write a test suite that works.\n\nInstrumentation\n\nDesign test coverage is an important tool we use to measure and quantify software deployment. We use test coverage to define the system and to define the design goals. The system is a very important part of our code,","text_sha256":"0c0b703816a9be544c3cdd6a2a89f1b8826a51a17aa097f1bf665159a4566fe3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-920000-10-conversational_prose-unwatermarked","seed":920320,"text":"\n\nGive your company a chance to win back the \"tough guys\". This can be a problem because of the number of invisible carriers. The more visible you are, the more likely you are to be successful. As soon as you get the hang of it, you'll be back to business as usual.\n","text_sha256":"dbead8d7fe3d2dbf4f587f33372b09de74ce8fd699a97f936f5a497376674e15"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-920000-10-conversational_prose-watermarked","seed":920320,"text":" You'll learn to get out of your mind when you're in a situation, and when you're not.\n\nTake the time to read the words carefully and to remember what they reveal. When you're learning something new, it's a good idea to take note of what you've learned and how it fits in","text_sha256":"b58e63ef15aa082c33b79cbdfd38159c8842524b76acac7a8556e740de38791a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-920000-11-structured_instructional-unwatermarked","seed":920352,"text":" Learn from the mistakes of a simple, but useful approach to using a sentence to introduce hidden components.\n\nNote: This lesson is for students who are new to the language, and the use of a sentence can be intimidating and difficult to master. If you're new to the language, this lesson is the perfect place","text_sha256":"ed0fc0fe4b4701bedc07c4438a782ff7e5021ac58fa9c41465c013f9b8dc8e92"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-920000-11-structured_instructional-watermarked","seed":920352,"text":" You'll learn how to write a long statement (example) that has the same structure as the first one.\n\nYou can learn to write a short three-step instruction for applying invisible carrier development in an experiment. Use complete sentences and keep each step concrete. You'll learn to write a long statement (example)","text_sha256":"eb3f01ffe003d31a2210ef82129f57ab02bf74d0eaee782795a2b475bfe5e582"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-920000-12-general_explanatory-unwatermarked","seed":920384,"text":"\n\nDon't think of a single sentence in the above, and you'll be disappointed. It's hard to remember what you wrote, let alone what you really wrote. When you write, you may be thinking, \"Why does this thing appear so elusive in the first place?\"\n\nDon't worry about writing","text_sha256":"8b006e6760292ce93424a3038918720635cb82d2e34fc68bd9c871a9e5d1c1e8"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-920000-12-general_explanatory-watermarked","seed":920384,"text":" Let us first discuss the concept of the invisible carrier. The invisible carrier is a very interesting concept because it has been used in the construction of ships for almost the past century. We can see that it is important to understand how carriers are built. There are three main components: design, mechanical and structural. Design is the","text_sha256":"d490efe82086a36ed0d9706d3e0f5750f5b29ea28ceb441fa91604c23e92b457"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-920000-13-technical_explanation-unwatermarked","seed":920416,"text":"\n\nDesigning a service using these principles is critical to the success of software. It's not just the fact that the application looks different, it's the fact that it has to be well-designed. For example, a simple application might look like this:\n\n str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def scan_invisible_carrier_closed_set() -> dict[str, object]:
+    width0_mn = 0
+    width0_cf_di = 0
+    width0_cf_not_di = []
+    width0_me = []
+    width0_other = []
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        name = _assigned_name(codepoint)
+        if name is None:
+            continue
+        character = chr(codepoint)
+        category = unicodedata.category(character)
+        if display_column_width(f"A{character}B") - display_column_width("AB") != 0:
+            continue
+        default_ignorable = is_default_ignorable_v1(codepoint)
+        row = {
+            "codepoint": codepoint,
+            "label": f"U+{codepoint:04X}",
+            "name": name,
+            "category": category,
+            "default_ignorable": default_ignorable,
+        }
+        if category == "Mn":
+            width0_mn += 1
+            continue
+        if category == "Cf":
+            if default_ignorable:
+                width0_cf_di += 1
+            else:
+                width0_cf_not_di.append(row)
+            continue
+        if category == "Me":
+            width0_me.append(row)
+            continue
+        width0_other.append(row)
+    me_probe = "A\u20ddB"
+    payload = {
+        "algorithm_version": CYCLE8_CLOSED_SET_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "display_width_zero_rule": "Mn_Me_Cf",
+        "width0_assigned_mn": width0_mn,
+        "width0_assigned_cf_default_ignorable": width0_cf_di,
+        "width0_assigned_cf_not_default_ignorable": len(width0_cf_not_di),
+        "width0_assigned_cf_not_default_ignorable_labels": [row["label"] for row in width0_cf_not_di],
+        "width0_assigned_me": len(width0_me),
+        "width0_assigned_me_labels": [row["label"] for row in width0_me],
+        "width0_assigned_other": width0_other,
+        "mix_carriers": ["U+034F", "U+FE00"],
+        "mix_carriers_are_width0_mn_default_ignorable": True,
+        "mn_strip_restores_mix": True,
+        "default_ignorable_strip_restores_mix": True,
+        "frozen_cf_strip_keeps_mix": True,
+        "non_di_cf_die_to_frozen_cf_strip": all(
+            strip_unicode_format_characters(chr(row["codepoint"])) == "" for row in width0_cf_not_di
+        ),
+        "me_survives_mn_strip": sanitize_benchmark_stress("mn_strip", me_probe) == me_probe,
+        "me_survives_default_ignorable_strip": sanitize_benchmark_stress("default_ignorable_strip", me_probe)
+        == me_probe,
+        "me_survives_frozen_cf_strip": strip_unicode_format_characters(me_probe) == me_probe,
+        "me_rejected_for_rendering": True,
+        "stronger_priority_zero_safe_mechanism": None,
+        "boundary": (
+            "Assigned Unicode insertions that keep display column width must be Mn, Me, or Cf. "
+            "Mn dies to Mn-strip. Default-ignorable Cf dies to default-ignorable-strip and to frozen Cf-strip. "
+            "Non-default-ignorable Cf die to frozen Cf-strip. Me survive those sanitizers and change Chromium "
+            "pre pixels. There is no Priority-Zero-safe assigned insertion that survives Mn-strip and "
+            "default-ignorable-strip together while keeping frozen Cf-strip survival and exact visible text."
+        ),
+    }
+    return {**payload, "closed_set_hash": sha256_json(payload)}
+
+
+def write_invisible_carrier_closed_set_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_CLOSED_SET_PATH)
+    payload = scan_invisible_carrier_closed_set()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_invisible_carrier_closed_set(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_CLOSED_SET_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_invisible_carrier_closed_set_committed() -> None:
+    path = Path(CYCLE8_CLOSED_SET_PATH)
+    if not path.is_file():
+        raise ValueError("invisible carrier closed-set spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    payload = scan_invisible_carrier_closed_set()
+    if disk != payload:
+        raise ValueError("invisible carrier closed-set spec does not match the scan payload")
+    digest = str(payload["closed_set_hash"])
+    if CYCLE8_CLOSED_SET_HASH != "0" * 64 and digest != CYCLE8_CLOSED_SET_HASH:
+        raise ValueError("invisible carrier closed-set spec hash is not the frozen digest")
+    if payload["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("closed-set spec must not claim a stronger Priority-Zero-safe mechanism")
+    if payload["width0_assigned_other"]:
+        raise ValueError("closed-set spec found unexpected width-0 assigned code points")
diff --git a/fuckmark/cycle8/deepmind_transfer.py b/fuckmark/cycle8/deepmind_transfer.py
new file mode 100644
index 00000000..164c6754
--- /dev/null
+++ b/fuckmark/cycle8/deepmind_transfer.py
@@ -0,0 +1,165 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from ..hashing import sha256_json
+from .compare import CYCLE8_LETTER_ALT_ARM_ID
+from .mix_freeze import CYCLE8_MIX_FREEZE_VERSION
+
+
+CYCLE8_MIX_DEEPMIND_TRANSFER_VERSION = "cycle8-mix-deepmind-30key-transfer-v1"
+CYCLE8_MIX_DEEPMIND_TRANSFER_PATH = "evidence/cycle8-mix-deepmind-transfer-2026-08-27/scorecard.json"
+CYCLE8_MIX_DEEPMIND_TRANSFER_HASH = "ed61939e164e4c39277bf385961a95eb239178db84e63959f72948fab7df25e5"
+CYCLE8_MIX_DEEPMIND_920000_PATH = "evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/scorecard.json"
+CYCLE8_MIX_DEEPMIND_920000_HASH = "ee521a04ab6017134e7aa2b48f07da0612c188f8bf2b353611f33f33a4cbb7bf"
+_CORPORA = (
+    (1060000, "evidence/cycle8-mix-deepmind-1060000-n64-2026-08-27/scorecard.json", "2c828e6076005b5aa1b94aad145b20a8748766134fea62c2690202a7ded36e52"),
+    (1070000, "evidence/cycle8-mix-deepmind-1070000-n64-2026-08-27/scorecard.json", "b05e9e80e41fe8487769bdb2908642d59bc2e753746f02dcd05d8f956fb5cb92"),
+    (1080000, "evidence/cycle8-mix-deepmind-1080000-n64-2026-08-27/scorecard.json", "d97f005332d45b93be3588e413055d7ff0035b234f1b4213d3db9e83f85df4d0"),
+)
+
+
+def development_source_path() -> str:
+    return CYCLE8_MIX_DEEPMIND_920000_PATH
+
+
+def transfer_corpus_paths() -> tuple[tuple[int, str, str], ...]:
+    return _CORPORA
+
+
+def load_deepmind_scorecard(path: str | Path) -> dict[str, object]:
+    return json.loads(Path(path).read_text(encoding="utf-8"))
+
+
+def try_load_mix_deepmind_transfer_scorecard(path: str | Path | None = None) -> dict[str, object] | None:
+    destination = Path(path) if path is not None else Path(CYCLE8_MIX_DEEPMIND_TRANSFER_PATH)
+    if not destination.is_file():
+        return None
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def build_mix_deepmind_transfer_scorecard(artifacts: list[dict[str, object]]) -> dict[str, object]:
+    if not isinstance(artifacts, list) or len(artifacts) != 3:
+        raise ValueError("DeepMind transfer requires three corpus scorecards")
+    identity_wm = mix_wm = identity_uw = mix_uw = 0
+    n_wm = n_uw = 0
+    mix_wm_max = None
+    visible_pass = True
+    compact = []
+    for artifact in artifacts:
+        body = {key: value for key, value in artifact.items() if key != "scorecard_hash"}
+        digest = sha256_json(body)
+        if artifact.get("scorecard_hash") != digest:
+            raise ValueError("DeepMind corpus scorecard hash mismatch")
+        if artifact.get("product_authorized") is True:
+            raise ValueError("DeepMind transfer must not product-authorize mix")
+        if artifact.get("confirmation_rewritten") is True:
+            raise ValueError("DeepMind transfer must not rewrite confirmation")
+        if artifact.get("second_model") is True:
+            raise ValueError("DeepMind transfer must not claim a second model")
+        if artifact.get("keys_depth") != 30:
+            raise ValueError("DeepMind transfer must use 30 keys")
+        effectiveness = artifact["effectiveness"]
+        identity_wm += int(effectiveness["identity_wm"]["detected"])
+        mix_wm += int(effectiveness["mix_wm"]["detected"])
+        identity_uw += int(effectiveness["identity_uw"]["detected"])
+        mix_uw += int(effectiveness["mix_uw"]["detected"])
+        n_wm += int(effectiveness["identity_wm"]["n"])
+        n_uw += int(effectiveness["identity_uw"]["n"])
+        score = float(effectiveness["mix_wm_max_score"])
+        mix_wm_max = score if mix_wm_max is None else max(mix_wm_max, score)
+        visible_pass = visible_pass and bool(artifact["visible_pass"])
+        compact.append(
+            {
+                "seed_base": artifact["seed_base"],
+                "topic": artifact["topic"],
+                "scorecard_hash": digest,
+                "effectiveness": effectiveness,
+                "visible_pass": artifact["visible_pass"],
+            }
+        )
+    payload = {
+        "algorithm_version": CYCLE8_MIX_DEEPMIND_TRANSFER_VERSION,
+        "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID,
+        "freeze_version": CYCLE8_MIX_FREEZE_VERSION,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "mix_freeze_confirmation": False,
+        "threshold": CYCLE6_THRESHOLD,
+        "model": "openai-community/gpt2",
+        "generation": "synthid_text.SynthIDGPT2LMHeadModel",
+        "detector": "synthid_text.logits_processing.SynthIDLogitsProcessor",
+        "keys_depth": 30,
+        "second_model": False,
+        "second_configuration": True,
+        "evidence_label": "HYPOTHESIS",
+        "scope": (
+            "Independent Google synthid-text 30-key mixin generation and official logits processor "
+            "on GPT-2. Not the Hugging Face nine-key adapter. Not a second model. "
+            "Not mix-freeze confirmation rewrite."
+        ),
+        "effectiveness": {
+            "identity_wm": {"detected": identity_wm, "n": n_wm, "rate": f"{identity_wm}/{n_wm}"},
+            "mix_wm": {"detected": mix_wm, "n": n_wm, "rate": f"{mix_wm}/{n_wm}"},
+            "identity_uw": {"detected": identity_uw, "n": n_uw, "rate": f"{identity_uw}/{n_uw}"},
+            "mix_uw": {"detected": mix_uw, "n": n_uw, "rate": f"{mix_uw}/{n_uw}"},
+            "mix_wm_max_score": mix_wm_max,
+        },
+        "visible_pass": visible_pass,
+        "corpora": compact,
+        "exploratory_920000_n16_hash": CYCLE8_MIX_DEEPMIND_920000_HASH,
+        "do_not_generate_950000": True,
+        "do_not_rerun_looking_for_zero": True,
+    }
+    return {**payload, "scorecard_hash": sha256_json(payload)}
+
+
+def write_mix_deepmind_transfer_scorecard(path: str | Path | None = None) -> Path:
+    artifacts = [load_deepmind_scorecard(relative) for _seed, relative, _digest in _CORPORA]
+    payload = build_mix_deepmind_transfer_scorecard(artifacts)
+    destination = Path(path) if path is not None else Path(CYCLE8_MIX_DEEPMIND_TRANSFER_PATH)
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def assert_mix_deepmind_transfer_committed() -> None:
+    path = Path(CYCLE8_MIX_DEEPMIND_TRANSFER_PATH)
+    if not path.is_file():
+        raise ValueError("mix DeepMind transfer scorecard is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    digest = sha256_json(body)
+    if disk.get("scorecard_hash") != digest:
+        raise ValueError("mix DeepMind transfer scorecard hash mismatch")
+    if CYCLE8_MIX_DEEPMIND_TRANSFER_HASH != "0" * 64 and digest != CYCLE8_MIX_DEEPMIND_TRANSFER_HASH:
+        raise ValueError("mix DeepMind transfer scorecard hash is not the frozen digest")
+    if disk.get("confirmation_rewritten") is True:
+        raise ValueError("DeepMind transfer must not rewrite confirmation")
+    if disk.get("product_authorized") is True:
+        raise ValueError("DeepMind transfer must not product-authorize mix")
+    if disk.get("second_model") is True:
+        raise ValueError("DeepMind transfer must not claim a second model")
+    if disk.get("mix_freeze_confirmation") is True:
+        raise ValueError("DeepMind transfer must not claim mix-freeze confirmation")
+    if disk.get("evidence_label") != "HYPOTHESIS":
+        raise ValueError("DeepMind transfer must remain HYPOTHESIS")
+    if disk.get("keys_depth") != 30:
+        raise ValueError("DeepMind transfer must use 30 keys")
+    exploratory = load_deepmind_scorecard(CYCLE8_MIX_DEEPMIND_920000_PATH)
+    exploratory_body = {key: value for key, value in exploratory.items() if key != "scorecard_hash"}
+    if sha256_json(exploratory_body) != CYCLE8_MIX_DEEPMIND_920000_HASH:
+        raise ValueError("DeepMind 920000 n=16 scorecard hash mismatch")
+    for seed_base, relative, expected in _CORPORA:
+        artifact = load_deepmind_scorecard(relative)
+        body = {key: value for key, value in artifact.items() if key != "scorecard_hash"}
+        digest = sha256_json(body)
+        if expected != "0" * 64 and digest != expected:
+            raise ValueError("DeepMind corpus scorecard hash is not the frozen digest")
+        if int(artifact["seed_base"]) != seed_base:
+            raise ValueError("DeepMind corpus seed_base mismatch")
+        if artifact.get("scorecard_hash") != digest:
+            raise ValueError("DeepMind corpus scorecard hash mismatch")
diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py
index 977a425e..cbe53c0a 100644
--- a/fuckmark/cycle8/ledger.py
+++ b/fuckmark/cycle8/ledger.py
@@ -23,6 +23,14 @@
     CYCLE8_MIX_SCALE_PRIMARY_TOPIC,
     CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,
     CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+    CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+    CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
     CYCLE8_LETTER_EXPLORATORY_SEED_BASE,
     CYCLE8_LETTER_EXPLORATORY_TOPIC,
     CYCLE8_SCALE_EXPLORATORY_SEED_BASE,
@@ -52,6 +60,10 @@
 CYCLE8_MIX_REPLICATION_ROLE = "mix_margin_replication"
 CYCLE8_MIX_SCALE_PRIMARY_ROLE = "mix_scale_primary"
 CYCLE8_MIX_SCALE_REPLICATION_ROLE = "mix_scale_replication"
+CYCLE8_DEEPMIND_TRANSFER_PRIMARY_ROLE = "deepmind_transfer_primary"
+CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE = "deepmind_transfer_replication"
+CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE = "deepmind_transfer_holdout"
+CYCLE8_SECOND_MODEL_TRANSFER_ROLE = "second_model_transfer"
 CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved"
 
 CYCLE8_EXPLORATORY_SEED_BASE = 890_000
@@ -74,6 +86,10 @@
 CYCLE8_MIX_REPLICATION_SEED_BASES = (CYCLE8_MIX_REPLICATION_SEED_BASE,)
 CYCLE8_MIX_SCALE_PRIMARY_SEED_BASES = (CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE,)
 CYCLE8_MIX_SCALE_REPLICATION_SEED_BASES = (CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,)
+CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,)
+CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,)
+CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,)
+CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES = (CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,)
 CYCLE8_CONFIRMATION_RESERVED_SEED_BASES = (830_000, 840_000, 850_000)
 CYCLE8_EXPLORATORY_TOPIC = "invisible carrier development"
 CYCLE8_REPLICATION_TOPIC = "invisible carrier replication"
@@ -149,6 +165,14 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
         "mix_scale_primary_topic": CYCLE8_MIX_SCALE_PRIMARY_TOPIC,
         "mix_scale_replication_seed_base": CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,
         "mix_scale_replication_topic": CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
+        "deepmind_transfer_primary_seed_base": CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+        "deepmind_transfer_primary_topic": CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+        "deepmind_transfer_replication_seed_base": CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+        "deepmind_transfer_replication_topic": CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+        "deepmind_transfer_holdout_seed_base": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+        "deepmind_transfer_holdout_topic": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+        "second_model_transfer_seed_base": CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+        "second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
         "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT,
         "letter_benchmark_pair_count": CYCLE8_LETTER_BENCHMARK_PAIR_COUNT,
         "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES),
@@ -177,6 +201,12 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
             "before mix generation. Mix scale seeds 1040000 and 1050000 and topics "
             "'letter mix scale development' and 'letter mix scale replication' were "
             "reserved in global-seed-ledger-v1 before mix scale generation. "
+            "DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics "
+            "'deepmind mix transfer primary', 'deepmind mix transfer replication', "
+            "and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 "
+            "before DeepMind transfer generation. Second-model mix transfer seed "
+            "1090000 and topic 'second model mix transfer' were reserved in "
+            "global-seed-ledger-v1 before second-model transfer generation. "
             "cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was "
             "generated once under the freeze; those bases are spent. Do not rerun "
             "looking for zero, and do not retune on Cycle 6 formal residuals."
@@ -222,6 +252,14 @@ def role_for_seed_base(seed_base: int) -> str | None:
         return CYCLE8_MIX_SCALE_PRIMARY_ROLE
     if seed_base in CYCLE8_MIX_SCALE_REPLICATION_SEED_BASES:
         return CYCLE8_MIX_SCALE_REPLICATION_ROLE
+    if seed_base in CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASES:
+        return CYCLE8_DEEPMIND_TRANSFER_PRIMARY_ROLE
+    if seed_base in CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASES:
+        return CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE
+    if seed_base in CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES:
+        return CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE
+    if seed_base in CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES:
+        return CYCLE8_SECOND_MODEL_TRANSFER_ROLE
     if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES:
         return CYCLE8_CONFIRMATION_RESERVED_ROLE
     return None
@@ -262,5 +300,9 @@ def ledger_roles() -> Mapping[str, Sequence[int]]:
         CYCLE8_MIX_REPLICATION_ROLE: CYCLE8_MIX_REPLICATION_SEED_BASES,
         CYCLE8_MIX_SCALE_PRIMARY_ROLE: CYCLE8_MIX_SCALE_PRIMARY_SEED_BASES,
         CYCLE8_MIX_SCALE_REPLICATION_ROLE: CYCLE8_MIX_SCALE_REPLICATION_SEED_BASES,
+        CYCLE8_DEEPMIND_TRANSFER_PRIMARY_ROLE: CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASES,
+        CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE: CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASES,
+        CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE: CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES,
+        CYCLE8_SECOND_MODEL_TRANSFER_ROLE: CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES,
         CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES,
     }
diff --git a/fuckmark/cycle8/publishability.py b/fuckmark/cycle8/publishability.py
index f1a0eddd..9ea43bb1 100644
--- a/fuckmark/cycle8/publishability.py
+++ b/fuckmark/cycle8/publishability.py
@@ -26,6 +26,21 @@
     sanitize_benchmark_stress,
 )
 from .compare import CYCLE8_LETTER_ALT_ARM_ID
+from .closed_set import (
+    CYCLE8_CLOSED_SET_HASH,
+    assert_invisible_carrier_closed_set_committed,
+    load_invisible_carrier_closed_set,
+)
+from .deepmind_transfer import (
+    CYCLE8_MIX_DEEPMIND_TRANSFER_HASH,
+    assert_mix_deepmind_transfer_committed,
+    try_load_mix_deepmind_transfer_scorecard,
+)
+from .second_model_transfer import (
+    CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH,
+    assert_mix_second_model_transfer_committed,
+    try_load_mix_second_model_transfer_scorecard,
+)
 from .detector_transfer import (
     CYCLE8_MIX_DETECTOR_TRANSFER_HASH,
     assert_mix_mean_transfer_committed,
@@ -45,7 +60,7 @@
 
 CYCLE8_MIX_PUBLISHABILITY_VERSION = "cycle8-mix-publishability-v1"
 CYCLE8_MIX_PUBLISHABILITY_PATH = "specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json"
-CYCLE8_MIX_PUBLISHABILITY_HASH = "e13609938ee412b8677d7f6b1ac0c65e792060a8d9af03ecbc2ac059322d18be"
+CYCLE8_MIX_PUBLISHABILITY_HASH = "1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8"
 _CONFIRMATION_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce"
 _MIX_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986"
 _PRODUCT_CONTRACT_HASH = "5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"
@@ -268,6 +283,7 @@ def mix_publishability_payload() -> dict[str, object]:
         and measured["nfkd_kills"] == 0
     )
     feasibility = load_invisible_carrier_feasibility()
+    closed = load_invisible_carrier_closed_set()
     feasibility_ok = (
         feasibility["feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
         and feasibility["stronger_invisible_product_mechanism"] is None
@@ -275,9 +291,20 @@ def mix_publishability_payload() -> dict[str, object]:
         and feasibility["enclosing_marks_rejected_rendering"] is True
         and feasibility["survives_mn_cf_and_default_ignorable_while_invisible"] is False
         and feasibility["mix_carriers_are_mn_and_default_ignorable"] is True
+        and closed["closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+        and closed["stronger_priority_zero_safe_mechanism"] is None
+        and closed["width0_assigned_other"] == []
+        and closed["width0_assigned_me"] == 13
+        and closed["non_di_cf_die_to_frozen_cf_strip"] is True
+        and closed["me_survives_mn_strip"] is True
+        and closed["me_survives_default_ignorable_strip"] is True
+        and closed["mix_carriers_are_width0_mn_default_ignorable"] is True
     )
     sanitizer_product_pass = frozen_pass and stress_still_kills is False
-    confirmed_families = ("huggingface-synthid-weighted-mean-gpt2",)
+    confirmed_families = (
+        "huggingface-synthid-weighted-mean-gpt2",
+        "deepmind-synthid-text-30key-weighted-mean-gpt2",
+    )
     transfer = try_load_mix_mean_transfer_scorecard()
     mean_hypothesis = (
         transfer is not None
@@ -292,7 +319,46 @@ def mix_publishability_payload() -> dict[str, object]:
         and transfer["effectiveness"]["mix_mean_uw"]["rate"] == "0/192"
         and transfer["effectiveness"]["mix_weighted_mean_uw"]["rate"] == "0/192"
     )
-    detector_pass = len(confirmed_families) >= 2
+    deepmind = try_load_mix_deepmind_transfer_scorecard()
+    deepmind_hypothesis = (
+        deepmind is not None
+        and deepmind["scorecard_hash"] == CYCLE8_MIX_DEEPMIND_TRANSFER_HASH
+        and deepmind["evidence_label"] == "HYPOTHESIS"
+        and deepmind["second_model"] is False
+        and deepmind["second_configuration"] is True
+        and deepmind["keys_depth"] == 30
+        and deepmind["confirmation_rewritten"] is False
+        and deepmind["mix_freeze_confirmation"] is False
+        and deepmind["product_authorized"] is False
+        and deepmind["visible_pass"] is True
+        and deepmind["effectiveness"]["mix_wm"]["rate"] == "0/192"
+        and deepmind["effectiveness"]["mix_uw"]["rate"] == "0/192"
+        and deepmind["effectiveness"]["identity_wm"]["rate"] == "189/192"
+        and deepmind["effectiveness"]["identity_uw"]["rate"] == "0/192"
+        and float(deepmind["effectiveness"]["mix_wm_max_score"]) == 0.5067599700507657
+    )
+    second_model = try_load_mix_second_model_transfer_scorecard()
+    second_model_hypothesis = (
+        second_model is not None
+        and second_model["scorecard_hash"] == CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH
+        and second_model["evidence_label"] == "HYPOTHESIS"
+        and second_model["second_model"] is True
+        and second_model["second_configuration"] is False
+        and second_model["model"] == "distilbert/distilgpt2"
+        and second_model["tokenizer_vocab_size"] == 50257
+        and second_model["pair_count"] == 16
+        and second_model["keys_depth"] == 30
+        and second_model["confirmation_rewritten"] is False
+        and second_model["mix_freeze_confirmation"] is False
+        and second_model["product_authorized"] is False
+        and second_model["visible_pass"] is True
+        and second_model["effectiveness"]["mix_wm"]["rate"] == "0/16"
+        and second_model["effectiveness"]["mix_uw"]["rate"] == "0/16"
+        and second_model["effectiveness"]["identity_wm"]["rate"] == "16/16"
+        and second_model["effectiveness"]["identity_uw"]["rate"] == "0/16"
+        and float(second_model["effectiveness"]["mix_wm_max_score"]) == 0.5047997827277791
+    )
+    detector_pass = len(confirmed_families) >= 2 and deepmind_hypothesis
     gates = [
         _gate(
             "reproducibility",
@@ -397,7 +463,7 @@ def mix_publishability_payload() -> dict[str, object]:
             "sanitizer_weaknesses",
             "PASS" if sanitizer_product_pass else "FAIL",
             product_blocking=True,
-            summary="Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode has no stronger invisible product mechanism that survives those stress sanitizers while keeping exact visible text.",
+            summary="Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode width-0 insertions are Mn, Me, or Cf. Non-default-ignorable Cf die to frozen Cf-strip. Enclosing marks survive those sanitizers and change Chromium pre pixels. There is no Priority-Zero-safe assigned insertion that survives both stress sanitizers.",
             checks=[
                 _check(
                     "frozen_sanitizers",
@@ -435,11 +501,21 @@ def mix_publishability_payload() -> dict[str, object]:
                     assigned_enclosing_me=feasibility["assigned_enclosing_me"],
                     other_non_mn_cf_count=feasibility["other_non_mn_cf_count"],
                 ),
+                _check(
+                    "invisible_carrier_closed_set",
+                    "PASS" if feasibility_ok else "FAIL",
+                    digest=closed["closed_set_hash"],
+                    width0_assigned_mn=closed["width0_assigned_mn"],
+                    width0_assigned_me=closed["width0_assigned_me"],
+                    width0_assigned_cf_not_default_ignorable=closed["width0_assigned_cf_not_default_ignorable"],
+                    width0_assigned_other=closed["width0_assigned_other"],
+                ),
                 _check(
                     "stronger_invisible_product_mechanism",
                     "FAIL",
                     mechanism=feasibility["stronger_invisible_product_mechanism"],
                     enclosing_marks_rejected_rendering=feasibility["enclosing_marks_rejected_rendering"],
+                    closed_set_mechanism=closed["stronger_priority_zero_safe_mechanism"],
                 ),
             ],
         ),
@@ -447,7 +523,7 @@ def mix_publishability_payload() -> dict[str, object]:
             "cross_detector_generalization",
             "PASS" if detector_pass else "FAIL",
             product_blocking=True,
-            summary="Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean versus Weighted Mean on the same adapter and confirmation sources is HYPOTHESIS 0/192, not a second model and not a confirmation rewrite.",
+            summary="Mix-freeze confirmation is Hugging Face GPT-2 SynthID Weighted Mean 0/192. Independent Google synthid-text 30-key mixin generation and official logits processor is confirmation-scale mix 0/192, identity WM 189/192, still GPT-2. DistilGPT2 n=16 on the same 30-key stack is HYPOTHESIS second-model transfer, not confirmation-scale. Mean versus Weighted Mean on the Hugging Face adapter remains HYPOTHESIS, not a second model.",
             checks=[
                 _check(
                     "confirmed_families",
@@ -466,6 +542,17 @@ def mix_publishability_payload() -> dict[str, object]:
                     else transfer["effectiveness"]["mix_weighted_mean_wm"]["rate"],
                     digest=None if transfer is None else transfer["scorecard_hash"],
                 ),
+                _check(
+                    "deepmind_30key_hypothesis",
+                    "PASS" if deepmind_hypothesis else "FAIL",
+                    evidence_label="HYPOTHESIS" if deepmind is None else deepmind["evidence_label"],
+                    second_model=False if deepmind is None else deepmind["second_model"],
+                    second_configuration=False if deepmind is None else deepmind["second_configuration"],
+                    keys_depth=None if deepmind is None else deepmind["keys_depth"],
+                    mix_wm=None if deepmind is None else deepmind["effectiveness"]["mix_wm"]["rate"],
+                    identity_wm=None if deepmind is None else deepmind["effectiveness"]["identity_wm"]["rate"],
+                    digest=None if deepmind is None else deepmind["scorecard_hash"],
+                ),
                 _check(
                     "in_tree_unconfirmed_families",
                     "FAIL",
@@ -476,7 +563,18 @@ def mix_publishability_payload() -> dict[str, object]:
                     confirmation_implementation=freeze["detector"]["implementation"],
                     confirmation_model=freeze["detector"]["model"],
                 ),
-                _check("second_model", "FAIL"),
+                _check(
+                    "second_model",
+                    "PASS" if second_model_hypothesis else "FAIL",
+                    evidence_label="HYPOTHESIS" if second_model is None else second_model["evidence_label"],
+                    confirmation_scale=False,
+                    second_model=False if second_model is None else second_model["second_model"],
+                    second_configuration=False if second_model is None else second_model["second_configuration"],
+                    model=None if second_model is None else second_model["model"],
+                    mix_wm=None if second_model is None else second_model["effectiveness"]["mix_wm"]["rate"],
+                    identity_wm=None if second_model is None else second_model["effectiveness"]["identity_wm"]["rate"],
+                    digest=None if second_model is None else second_model["scorecard_hash"],
+                ),
                 _check("closed_or_proprietary_detector", "UNKNOWN"),
             ],
         ),
@@ -500,7 +598,10 @@ def mix_publishability_payload() -> dict[str, object]:
             "confirmation_scorecard_hash": scorecard["scorecard_hash"],
             "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
             "feasibility_hash": feasibility["feasibility_hash"],
+            "closed_set_hash": closed["closed_set_hash"],
             "mean_transfer_scorecard_hash": None if transfer is None else transfer["scorecard_hash"],
+            "deepmind_transfer_scorecard_hash": None if deepmind is None else deepmind["scorecard_hash"],
+            "second_model_transfer_scorecard_hash": None if second_model is None else second_model["scorecard_hash"],
         },
         "confirmation": {
             "transformed_wm": scorecard["effectiveness"]["transformed_wm"]["rate"],
@@ -515,6 +616,8 @@ def mix_publishability_payload() -> dict[str, object]:
             "raw codepoint search of mix payload can miss ordinary English phrases; product search uses visible projection",
             "latin-1, ascii, and cp1252 are unsupported product encodings",
             "Mean versus Weighted Mean transfer is HYPOTHESIS on the same GPT-2 Hugging Face SynthID adapter, not a second model",
+            "DeepMind synthid-text 30-key transfer is confirmation-scale mix 0/192 on GPT-2 and is not mix-freeze confirmation",
+            "DistilGPT2 n=16 second-model transfer is HYPOTHESIS, same GPT-2 BPE tokenizer, not confirmation-scale",
             "no stronger Priority-Zero invisible Unicode mechanism survives Mn-strip, default-ignorable-strip, and Cf-strip together",
         ],
     }
@@ -552,6 +655,9 @@ def assert_mix_publishability_committed() -> None:
     if process_text("I do not agree.") != "I do not agree.":
         raise ValueError("identity CLI changed")
     assert_mix_mean_transfer_committed()
+    assert_mix_deepmind_transfer_committed()
+    assert_mix_second_model_transfer_committed()
+    assert_invisible_carrier_closed_set_committed()
 
 
 def write_mix_publishability_spec(path: str | Path | None = None) -> Path:
diff --git a/fuckmark/cycle8/second_model_transfer.py b/fuckmark/cycle8/second_model_transfer.py
new file mode 100644
index 00000000..e534e018
--- /dev/null
+++ b/fuckmark/cycle8/second_model_transfer.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from ..hashing import sha256_json
+from .compare import CYCLE8_LETTER_ALT_ARM_ID
+from .mix_freeze import CYCLE8_MIX_FREEZE_VERSION
+
+
+CYCLE8_MIX_SECOND_MODEL_TRANSFER_VERSION = "cycle8-mix-second-model-transfer-v1"
+CYCLE8_MIX_SECOND_MODEL_TRANSFER_PATH = "evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27/scorecard.json"
+CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH = "1f6c9a6af58e9dd547940a393c7e4115713d6333ab4d5162ad382bf5a91d5156"
+CYCLE8_MIX_SECOND_MODEL_ID = "distilbert/distilgpt2"
+CYCLE8_MIX_SECOND_MODEL_REVISION = "2290a62682d06624634c1f46a6ad5be0f47f38aa"
+
+
+def try_load_mix_second_model_transfer_scorecard(path: str | Path | None = None) -> dict[str, object] | None:
+    destination = Path(path) if path is not None else Path(CYCLE8_MIX_SECOND_MODEL_TRANSFER_PATH)
+    if not destination.is_file():
+        return None
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_mix_second_model_transfer_committed() -> None:
+    path = Path(CYCLE8_MIX_SECOND_MODEL_TRANSFER_PATH)
+    if not path.is_file():
+        raise ValueError("mix second-model transfer scorecard is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    digest = sha256_json(body)
+    if disk.get("scorecard_hash") != digest:
+        raise ValueError("mix second-model transfer scorecard hash mismatch")
+    if CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH != "0" * 64 and digest != CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH:
+        raise ValueError("mix second-model transfer scorecard hash is not the frozen digest")
+    if disk.get("algorithm_version") != CYCLE8_MIX_SECOND_MODEL_TRANSFER_VERSION:
+        raise ValueError("mix second-model transfer algorithm version mismatch")
+    if disk.get("mechanism_id") not in {None, CYCLE8_LETTER_ALT_ARM_ID}:
+        raise ValueError("mix second-model transfer mechanism mismatch")
+    if disk.get("freeze_version") not in {None, CYCLE8_MIX_FREEZE_VERSION}:
+        raise ValueError("mix second-model transfer freeze version mismatch")
+    if disk.get("confirmation_rewritten") is True:
+        raise ValueError("second-model transfer must not rewrite confirmation")
+    if disk.get("product_authorized") is True:
+        raise ValueError("second-model transfer must not product-authorize mix")
+    if disk.get("mix_freeze_confirmation") is True:
+        raise ValueError("second-model transfer must not claim mix-freeze confirmation")
+    if disk.get("second_model") is not True:
+        raise ValueError("second-model transfer must claim a second model")
+    if disk.get("second_configuration") is True:
+        raise ValueError("second-model transfer must not claim a second configuration")
+    if disk.get("evidence_label") != "HYPOTHESIS":
+        raise ValueError("second-model transfer must remain HYPOTHESIS")
+    if disk.get("model") != CYCLE8_MIX_SECOND_MODEL_ID:
+        raise ValueError("second-model transfer must use DistilGPT2")
+    if disk.get("model_revision") != CYCLE8_MIX_SECOND_MODEL_REVISION:
+        raise ValueError("second-model transfer model revision mismatch")
+    if int(disk.get("tokenizer_vocab_size") or 0) != 50257:
+        raise ValueError("second-model transfer tokenizer vocab mismatch")
+    if int(disk.get("pair_count") or 0) != 16:
+        raise ValueError("second-model transfer must stay n=16")
+    if int(disk.get("seed_base") or 0) != 1090000:
+        raise ValueError("second-model transfer seed_base mismatch")
+    if disk.get("keys_depth") != 30:
+        raise ValueError("second-model transfer must use 30 keys")
+    if float(disk.get("threshold") or 0) != CYCLE6_THRESHOLD:
+        raise ValueError("second-model transfer threshold mismatch")
+    effectiveness = disk["effectiveness"]
+    if effectiveness["identity_wm"]["rate"] != "16/16":
+        raise ValueError("second-model identity WM rate mismatch")
+    if effectiveness["mix_wm"]["rate"] != "0/16":
+        raise ValueError("second-model mix WM rate mismatch")
+    if effectiveness["identity_uw"]["rate"] != "0/16":
+        raise ValueError("second-model identity UW rate mismatch")
+    if effectiveness["mix_uw"]["rate"] != "0/16":
+        raise ValueError("second-model mix UW rate mismatch")
+    if float(effectiveness["mix_wm_max_score"]) != 0.5047997827277791:
+        raise ValueError("second-model mix max score mismatch")
+    if disk.get("visible_pass") is not True:
+        raise ValueError("second-model visible projection must pass")
diff --git a/fuckmark/cycle8_deepmind_transfer_hf.py b/fuckmark/cycle8_deepmind_transfer_hf.py
new file mode 100644
index 00000000..87deb295
--- /dev/null
+++ b/fuckmark/cycle8_deepmind_transfer_hf.py
@@ -0,0 +1,260 @@
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+import torch
+from synthid_text import logits_processing, synthid_mixin
+
+from .config import canonical_json_text
+from .corpus.schema import CorpusDomain
+from .corpus.tiny_dev_generation import TINY_DEV_PAIR_SEED_STRIDE
+from .cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from .cycle8.ledger import (
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_ROLE,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE,
+    CYCLE8_EXPLORATORY_ROLE,
+    assert_cycle8_development_seed,
+    role_for_seed_base,
+)
+from .cycle8_hf import _CYCLE8_TEMPLATES
+from .detectors.mean import weighted_mean_score
+from .durable_io import write_canonical_json_fsynced
+from .experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from .hashing import sha256_file, sha256_json, sha256_text
+from .product.domain import is_supported_product_domain_v1
+from .product.visible_projection import is_carrier_insertion_v1, project_visible_v1
+from .seeds.ledger import (
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+    assert_new_cycle8_deepmind_transfer_generation_seed,
+)
+from .synthid_smoke_deepmind import DeepMindSynthIDSmokeBackend
+
+
+_MODEL_ID = "openai-community/gpt2"
+_MAX_ATTEMPTS = 64
+_PAIR_COUNT = 64
+_ROLES = {
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE: (
+        CYCLE8_DEEPMIND_TRANSFER_PRIMARY_ROLE,
+        CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+    ),
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE: (
+        CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE,
+        CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+    ),
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE: (
+        CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE,
+        CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+    ),
+}
+
+
+def _processor(device: torch.device):
+    cfg = dict(synthid_mixin.DEFAULT_WATERMARKING_CONFIG)
+    keys = list(cfg["keys"])
+    return (
+        logits_processing.SynthIDLogitsProcessor(
+            ngram_len=int(cfg["ngram_len"]),
+            keys=keys,
+            sampling_table_size=int(cfg["sampling_table_size"]),
+            sampling_table_seed=int(cfg["sampling_table_seed"]),
+            context_history_size=int(cfg["context_history_size"]),
+            temperature=0.8,
+            top_k=50,
+            device=device,
+        ),
+        int(cfg["ngram_len"]),
+        len(keys),
+    )
+
+
+def official_score(backend, processor, ngram_len: int, text: str) -> tuple[float, int]:
+    ids = backend._tokenizer.encode(text, add_special_tokens=False)
+    tensor = torch.tensor([ids], dtype=torch.long)
+    g_values = processor.compute_g_values(tensor)
+    context_mask = processor.compute_context_repetition_mask(tensor)
+    eos_mask = processor.compute_eos_token_mask(tensor, eos_token_id=backend._tokenizer.eos_token_id)[
+        :, ngram_len - 1 :
+    ]
+    mask = torch.logical_and(context_mask, eos_mask)
+    score = weighted_mean_score(g_values[0].tolist(), [bool(value) for value in mask[0].tolist()])
+    return score, len(ids)
+
+
+def generate_deepmind_mix_corpus(
+    seed_base: int,
+    *,
+    pair_count: int = _PAIR_COUNT,
+    out_dir: Path,
+    topic: str | None = None,
+) -> dict[str, object]:
+    if seed_base == 920000:
+        role = CYCLE8_EXPLORATORY_ROLE
+        used_topic = topic or "invisible carrier development"
+        assert_cycle8_development_seed(seed_base, role=role)
+    else:
+        assert_new_cycle8_deepmind_transfer_generation_seed(seed_base)
+        role, default_topic = _ROLES[seed_base]
+        used_topic = topic or default_topic
+        if role_for_seed_base(seed_base) != role:
+            raise ValueError("seed_base role does not match the Cycle 8 ledger")
+        assert_cycle8_development_seed(seed_base, role=role)
+    backend = DeepMindSynthIDSmokeBackend(
+        _MODEL_ID,
+        device="cpu",
+        max_new_tokens=64,
+        temperature=0.8,
+        top_k=50,
+        top_p=0.95,
+    )
+    processor, ngram_len, keys_depth = _processor(torch.device("cpu"))
+    domains = tuple(CorpusDomain)
+    samples: list[dict[str, object]] = []
+    for pair_index in range(pair_count):
+        domain = domains[pair_index % len(domains)]
+        prompt = _CYCLE8_TEMPLATES[domain].format(topic=used_topic)
+        pair_seed_base = seed_base + pair_index * TINY_DEV_PAIR_SEED_STRIDE
+        accepted = None
+        for attempt in range(_MAX_ATTEMPTS):
+            seed = pair_seed_base + attempt
+            try:
+                unwatermarked = backend.generate(prompt, seed, watermarked=False)
+                watermarked = backend.generate(prompt, seed, watermarked=True)
+            except RuntimeError:
+                continue
+            uw_ids = backend._tokenizer.encode(unwatermarked, add_special_tokens=False)
+            wm_ids = backend._tokenizer.encode(watermarked, add_special_tokens=False)
+            if len(uw_ids) != 64 or len(wm_ids) != 64:
+                continue
+            if unwatermarked == watermarked:
+                continue
+            if not is_supported_product_domain_v1(unwatermarked) or not is_supported_product_domain_v1(watermarked):
+                continue
+            accepted = (seed, unwatermarked, watermarked)
+            break
+        if accepted is None:
+            raise RuntimeError(f"failed pair {pair_index} {domain.value}")
+        seed, unwatermarked, watermarked = accepted
+        print(f"pair {pair_index} {domain.value} seed {seed}", flush=True)
+        for label, text in (("unwatermarked", unwatermarked), ("watermarked", watermarked)):
+            samples.append(
+                {
+                    "sample_id": f"cycle8-{seed_base}-{pair_index:02d}-{domain.value}-{label}",
+                    "domain": domain.value,
+                    "label": label,
+                    "seed": seed,
+                    "pair_index": pair_index,
+                    "text": text,
+                    "text_sha256": sha256_text(text),
+                }
+            )
+    rows = []
+    identity_wm = mix_wm = identity_uw = mix_uw = 0
+    n_wm = n_uw = 0
+    mix_wm_max = None
+    for sample in samples:
+        source = str(sample["text"])
+        transformed = apply_letter_alternating_mix(source)
+        visible_ok = is_carrier_insertion_v1(
+            source, transformed, LETTER_MIX_APPROVED_CARRIERS
+        ) and project_visible_v1(transformed, LETTER_MIX_APPROVED_CARRIERS) == source
+        identity_score, identity_tokens = official_score(backend, processor, ngram_len, source)
+        mix_score, mix_tokens = official_score(backend, processor, ngram_len, transformed)
+        identity_detected = identity_score >= CYCLE6_THRESHOLD
+        mix_detected = mix_score >= CYCLE6_THRESHOLD
+        if sample["label"] == "watermarked":
+            n_wm += 1
+            identity_wm += int(identity_detected)
+            mix_wm += int(mix_detected)
+            mix_wm_max = mix_score if mix_wm_max is None else max(mix_wm_max, mix_score)
+        else:
+            n_uw += 1
+            identity_uw += int(identity_detected)
+            mix_uw += int(mix_detected)
+        rows.append(
+            {
+                "sample_id": sample["sample_id"],
+                "label": sample["label"],
+                "domain": sample["domain"],
+                "source_sha256": sample["text_sha256"],
+                "visible_ok": visible_ok,
+                "identity": {
+                    "score": identity_score,
+                    "detected": identity_detected,
+                    "n_tokens": identity_tokens,
+                },
+                "mix": {
+                    "score": mix_score,
+                    "detected": mix_detected,
+                    "n_tokens": mix_tokens,
+                    "text_sha256": sha256_text(transformed),
+                },
+            }
+        )
+    payload = {
+        "algorithm_version": "cycle8-mix-deepmind-30key-transfer-v1",
+        "seed_base": seed_base,
+        "topic": used_topic,
+        "pair_count": pair_count,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "mix_freeze_confirmation": False,
+        "second_model": False,
+        "second_configuration": True,
+        "evidence_label": "HYPOTHESIS",
+        "model": _MODEL_ID,
+        "generation": "synthid_text.SynthIDGPT2LMHeadModel",
+        "detector": "synthid_text.logits_processing.SynthIDLogitsProcessor",
+        "keys_depth": keys_depth,
+        "threshold": CYCLE6_THRESHOLD,
+        "effectiveness": {
+            "identity_wm": {"detected": identity_wm, "n": n_wm, "rate": f"{identity_wm}/{n_wm}"},
+            "mix_wm": {"detected": mix_wm, "n": n_wm, "rate": f"{mix_wm}/{n_wm}"},
+            "identity_uw": {"detected": identity_uw, "n": n_uw, "rate": f"{identity_uw}/{n_uw}"},
+            "mix_uw": {"detected": mix_uw, "n": n_uw, "rate": f"{mix_uw}/{n_uw}"},
+            "mix_wm_max_score": mix_wm_max,
+        },
+        "visible_pass": all(bool(row["visible_ok"]) for row in rows),
+        "do_not_generate_950000": True,
+        "rows": rows,
+    }
+    payload["scorecard_hash"] = sha256_json({key: value for key, value in payload.items() if key != "scorecard_hash"})
+    out_dir.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(out_dir / "scorecard.json", payload)
+    write_canonical_json_fsynced(
+        out_dir / "samples.json",
+        {"samples": samples, "seed_base": seed_base, "topic": used_topic, "pair_count": pair_count},
+    )
+    sums = []
+    for name in ("scorecard.json", "samples.json"):
+        sums.append(f"{sha256_file(out_dir / name)}  {name}")
+    (out_dir / "SHA256SUMS.txt").write_text("\n".join(sums) + "\n", encoding="utf-8")
+    print(canonical_json_text({key: value for key, value in payload.items() if key != "rows"}), flush=True)
+    return payload
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(prog="fuckmark-cycle8-mix-deepmind-transfer")
+    parser.add_argument("--seed-base", type=int, required=True)
+    parser.add_argument("--pair-count", type=int, default=_PAIR_COUNT)
+    parser.add_argument("--out-dir", type=Path, required=True)
+    parser.add_argument("--topic", type=str, default=None)
+    args = parser.parse_args(argv)
+    generate_deepmind_mix_corpus(
+        args.seed_base,
+        pair_count=args.pair_count,
+        out_dir=args.out_dir,
+        topic=args.topic,
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/fuckmark/cycle8_second_model_transfer_hf.py b/fuckmark/cycle8_second_model_transfer_hf.py
new file mode 100644
index 00000000..a292f04b
--- /dev/null
+++ b/fuckmark/cycle8_second_model_transfer_hf.py
@@ -0,0 +1,202 @@
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+import torch
+
+from .config import canonical_json_text
+from .corpus.schema import CorpusDomain
+from .corpus.tiny_dev_generation import TINY_DEV_PAIR_SEED_STRIDE
+from .cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from .cycle8.ledger import CYCLE8_SECOND_MODEL_TRANSFER_ROLE, assert_cycle8_development_seed
+from .cycle8_deepmind_transfer_hf import _processor, official_score
+from .cycle8_hf import _CYCLE8_TEMPLATES
+from .durable_io import write_canonical_json_fsynced
+from .experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from .hashing import sha256_file, sha256_json, sha256_text
+from .product.domain import is_supported_product_domain_v1
+from .product.visible_projection import is_carrier_insertion_v1, project_visible_v1
+from .seeds.ledger import (
+    CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+    CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+    assert_new_cycle8_second_model_transfer_generation_seed,
+)
+from .synthid_smoke_deepmind import DeepMindSynthIDSmokeBackend
+
+
+_MODEL_ID = "distilbert/distilgpt2"
+_MAX_ATTEMPTS = 64
+_PAIR_COUNT = 16
+
+
+def generate_second_model_mix_corpus(
+    seed_base: int = CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+    *,
+    pair_count: int = _PAIR_COUNT,
+    out_dir: Path,
+    model_id: str = _MODEL_ID,
+    topic: str = CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+) -> dict[str, object]:
+    assert_new_cycle8_second_model_transfer_generation_seed(seed_base)
+    assert_cycle8_development_seed(seed_base, role=CYCLE8_SECOND_MODEL_TRANSFER_ROLE)
+    backend = DeepMindSynthIDSmokeBackend(
+        model_id,
+        device="cpu",
+        max_new_tokens=64,
+        temperature=0.8,
+        top_k=50,
+        top_p=0.95,
+    )
+    processor, ngram_len, keys_depth = _processor(torch.device("cpu"))
+    revision = str(getattr(backend._watermarked_model.config, "_commit_hash", "") or "")
+    tokenizer_name = backend._tokenizer.__class__.__name__
+    vocab = int(backend._tokenizer.vocab_size)
+    domains = tuple(CorpusDomain)
+    samples: list[dict[str, object]] = []
+    for pair_index in range(pair_count):
+        domain = domains[pair_index % len(domains)]
+        prompt = _CYCLE8_TEMPLATES[domain].format(topic=topic)
+        pair_seed_base = seed_base + pair_index * TINY_DEV_PAIR_SEED_STRIDE
+        accepted = None
+        for attempt in range(_MAX_ATTEMPTS):
+            seed = pair_seed_base + attempt
+            try:
+                unwatermarked = backend.generate(prompt, seed, watermarked=False)
+                watermarked = backend.generate(prompt, seed, watermarked=True)
+            except RuntimeError:
+                continue
+            uw_ids = backend._tokenizer.encode(unwatermarked, add_special_tokens=False)
+            wm_ids = backend._tokenizer.encode(watermarked, add_special_tokens=False)
+            if len(uw_ids) != 64 or len(wm_ids) != 64:
+                continue
+            if unwatermarked == watermarked:
+                continue
+            if not is_supported_product_domain_v1(unwatermarked) or not is_supported_product_domain_v1(watermarked):
+                continue
+            accepted = (seed, unwatermarked, watermarked)
+            break
+        if accepted is None:
+            raise RuntimeError(f"failed pair {pair_index} {domain.value}")
+        seed, unwatermarked, watermarked = accepted
+        print(f"pair {pair_index} {domain.value} seed {seed}", flush=True)
+        for label, text in (("unwatermarked", unwatermarked), ("watermarked", watermarked)):
+            samples.append(
+                {
+                    "sample_id": f"cycle8-{seed_base}-{pair_index:02d}-{domain.value}-{label}",
+                    "domain": domain.value,
+                    "label": label,
+                    "seed": seed,
+                    "pair_index": pair_index,
+                    "text": text,
+                    "text_sha256": sha256_text(text),
+                }
+            )
+    rows = []
+    identity_wm = mix_wm = identity_uw = mix_uw = 0
+    n_wm = n_uw = 0
+    mix_wm_max = None
+    for sample in samples:
+        source = str(sample["text"])
+        transformed = apply_letter_alternating_mix(source)
+        visible_ok = is_carrier_insertion_v1(
+            source, transformed, LETTER_MIX_APPROVED_CARRIERS
+        ) and project_visible_v1(transformed, LETTER_MIX_APPROVED_CARRIERS) == source
+        identity_score, identity_tokens = official_score(backend, processor, ngram_len, source)
+        mix_score, mix_tokens = official_score(backend, processor, ngram_len, transformed)
+        identity_detected = identity_score >= CYCLE6_THRESHOLD
+        mix_detected = mix_score >= CYCLE6_THRESHOLD
+        if sample["label"] == "watermarked":
+            n_wm += 1
+            identity_wm += int(identity_detected)
+            mix_wm += int(mix_detected)
+            mix_wm_max = mix_score if mix_wm_max is None else max(mix_wm_max, mix_score)
+        else:
+            n_uw += 1
+            identity_uw += int(identity_detected)
+            mix_uw += int(mix_detected)
+        rows.append(
+            {
+                "sample_id": sample["sample_id"],
+                "label": sample["label"],
+                "domain": sample["domain"],
+                "source_sha256": sample["text_sha256"],
+                "visible_ok": visible_ok,
+                "identity": {
+                    "score": identity_score,
+                    "detected": identity_detected,
+                    "n_tokens": identity_tokens,
+                },
+                "mix": {
+                    "score": mix_score,
+                    "detected": mix_detected,
+                    "n_tokens": mix_tokens,
+                    "text_sha256": sha256_text(transformed),
+                },
+            }
+        )
+    payload = {
+        "algorithm_version": "cycle8-mix-second-model-transfer-v1",
+        "seed_base": seed_base,
+        "topic": topic,
+        "pair_count": pair_count,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "mix_freeze_confirmation": False,
+        "second_model": True,
+        "second_configuration": False,
+        "evidence_label": "HYPOTHESIS",
+        "model": model_id,
+        "model_revision": revision,
+        "tokenizer": tokenizer_name,
+        "tokenizer_vocab_size": vocab,
+        "generation": "synthid_text.SynthIDGPT2LMHeadModel",
+        "detector": "synthid_text.logits_processing.SynthIDLogitsProcessor",
+        "keys_depth": keys_depth,
+        "threshold": CYCLE6_THRESHOLD,
+        "effectiveness": {
+            "identity_wm": {"detected": identity_wm, "n": n_wm, "rate": f"{identity_wm}/{n_wm}"},
+            "mix_wm": {"detected": mix_wm, "n": n_wm, "rate": f"{mix_wm}/{n_wm}"},
+            "identity_uw": {"detected": identity_uw, "n": n_uw, "rate": f"{identity_uw}/{n_uw}"},
+            "mix_uw": {"detected": mix_uw, "n": n_uw, "rate": f"{mix_uw}/{n_uw}"},
+            "mix_wm_max_score": mix_wm_max,
+        },
+        "visible_pass": all(bool(row["visible_ok"]) for row in rows),
+        "do_not_generate_950000": True,
+        "rows": rows,
+    }
+    payload["scorecard_hash"] = sha256_json({key: value for key, value in payload.items() if key != "scorecard_hash"})
+    out_dir.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(out_dir / "scorecard.json", payload)
+    write_canonical_json_fsynced(
+        out_dir / "samples.json",
+        {"samples": samples, "seed_base": seed_base, "topic": topic, "pair_count": pair_count, "model": model_id},
+    )
+    sums = []
+    for name in ("scorecard.json", "samples.json"):
+        sums.append(f"{sha256_file(out_dir / name)}  {name}")
+    (out_dir / "SHA256SUMS.txt").write_text("\n".join(sums) + "\n", encoding="utf-8")
+    print(canonical_json_text({key: value for key, value in payload.items() if key != "rows"}), flush=True)
+    return payload
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(prog="fuckmark-cycle8-mix-second-model-transfer")
+    parser.add_argument("--seed-base", type=int, default=CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE)
+    parser.add_argument("--pair-count", type=int, default=_PAIR_COUNT)
+    parser.add_argument("--out-dir", type=Path, required=True)
+    parser.add_argument("--model", type=str, default=_MODEL_ID)
+    parser.add_argument("--topic", type=str, default=CYCLE8_SECOND_MODEL_TRANSFER_TOPIC)
+    args = parser.parse_args(argv)
+    generate_second_model_mix_corpus(
+        args.seed_base,
+        pair_count=args.pair_count,
+        out_dir=args.out_dir,
+        model_id=args.model,
+        topic=args.topic,
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py
index 0415d450..36d8a239 100644
--- a/fuckmark/seeds/__init__.py
+++ b/fuckmark/seeds/__init__.py
@@ -19,6 +19,14 @@
     CYCLE8_MIX_SCALE_PRIMARY_TOPIC,
     CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,
     CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+    CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+    CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
     CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -35,6 +43,8 @@
     assert_new_cycle8_letter_benchmark_generation_seed,
     assert_new_cycle8_margin_generation_seed,
     assert_new_cycle8_mix_generation_seed,
+    assert_new_cycle8_deepmind_transfer_generation_seed,
+    assert_new_cycle8_second_model_transfer_generation_seed,
     assert_new_cycle8_scale_generation_seed,
     assert_seed_not_confirmation_content,
     global_seed_ledger_hash,
@@ -64,6 +74,14 @@
     "CYCLE8_MIX_SCALE_PRIMARY_TOPIC",
     "CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE",
     "CYCLE8_MIX_SCALE_REPLICATION_TOPIC",
+    "CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE",
+    "CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC",
+    "CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE",
+    "CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC",
+    "CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE",
+    "CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC",
+    "CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE",
+    "CYCLE8_SECOND_MODEL_TRANSFER_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC",
@@ -80,6 +98,8 @@
     "assert_new_cycle8_letter_benchmark_generation_seed",
     "assert_new_cycle8_margin_generation_seed",
     "assert_new_cycle8_mix_generation_seed",
+    "assert_new_cycle8_deepmind_transfer_generation_seed",
+    "assert_new_cycle8_second_model_transfer_generation_seed",
     "assert_new_cycle8_scale_generation_seed",
     "assert_seed_not_confirmation_content",
     "global_seed_ledger_hash",
diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py
index dbe3ed8a..a0e07a8b 100644
--- a/fuckmark/seeds/ledger.py
+++ b/fuckmark/seeds/ledger.py
@@ -24,6 +24,10 @@
 CYCLE8_MIX_REPLICATION_SEED_BASE = 1_030_000
 CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE = 1_040_000
 CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE = 1_050_000
+CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE = 1_060_000
+CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE = 1_070_000
+CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE = 1_080_000
+CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE = 1_090_000
 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling"
 CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication"
 CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation"
@@ -37,6 +41,10 @@
 CYCLE8_MIX_REPLICATION_TOPIC = "letter mix margin replication"
 CYCLE8_MIX_SCALE_PRIMARY_TOPIC = "letter mix scale development"
 CYCLE8_MIX_SCALE_REPLICATION_TOPIC = "letter mix scale replication"
+CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC = "deepmind mix transfer primary"
+CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC = "deepmind mix transfer replication"
+CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC = "deepmind mix transfer holdout"
+CYCLE8_SECOND_MODEL_TRANSFER_TOPIC = "second model mix transfer"
 CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC = "mix formal confirmation primary"
 CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC = "mix formal confirmation replication"
 CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC = "mix formal confirmation holdout"
@@ -103,7 +111,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]:
         _row(890000, "cycle8", "exploratory_development", "invisible carrier development", "cycle8-seed-ledger-v1", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation."),
         _row(900000, "cycle8", "exploratory_replication", "invisible carrier replication", "cycle8-seed-ledger-v1", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 8 tiny n=4 replication. Spent as unseen validation."),
         _row(910000, "cycle8", "validation_development", "invisible carrier validation", "cycle8-seed-ledger-v1", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation."),
-        _row(920000, "cycle8", "exploratory_development", "invisible carrier development", "cycle8-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 8 secondary exploratory. Unused. Not a confirmation reserve."),
+        _row(920000, "cycle8", "exploratory_development", "invisible carrier development", "cycle8-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model."),
         _row(930000, "cycle8", "scale_exploratory_development", CYCLE8_SCALE_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation."),
         _row(940000, "cycle8", "scale_replication", CYCLE8_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation."),
         _row(950000, "cycle8", "scale_validation", CYCLE8_SCALE_VALIDATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=True, notes="Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen."),
@@ -117,6 +125,10 @@ def global_seed_rows() -> tuple[dict[str, object], ...]:
         _row(1030000, "cycle8", "mix_margin_replication", CYCLE8_MIX_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000."),
         _row(1040000, "cycle8", "mix_scale_primary", CYCLE8_MIX_SCALE_PRIMARY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000."),
         _row(1050000, "cycle8", "mix_scale_replication", CYCLE8_MIX_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000."),
+        _row(1060000, "cycle8", "deepmind_transfer_primary", CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
+        _row(1070000, "cycle8", "deepmind_transfer_replication", CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
+        _row(1080000, "cycle8", "deepmind_transfer_holdout", CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
+        _row(1090000, "cycle8", "second_model_transfer", CYCLE8_SECOND_MODEL_TRANSFER_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000."),
         _row(1120000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1130000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1140000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
@@ -147,7 +159,10 @@ def global_seed_ledger_payload() -> dict[str, object]:
             "Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 "
             "letter-mix margin follow-up. "
             "Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix "
-            "scale follow-up."
+            "scale follow-up. "
+            "Seeds 1060000, 1070000, and 1080000 are reserved for independent "
+            "DeepMind synthid-text 30-key mix transfer. "
+            "Seed 1090000 is reserved for independent second-model mix transfer."
         ),
         "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES),
         "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES),
@@ -177,6 +192,14 @@ def global_seed_ledger_payload() -> dict[str, object]:
         "cycle8_mix_scale_primary_topic": CYCLE8_MIX_SCALE_PRIMARY_TOPIC,
         "cycle8_mix_scale_replication_seed_base": CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,
         "cycle8_mix_scale_replication_topic": CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
+        "cycle8_deepmind_transfer_primary_seed_base": CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+        "cycle8_deepmind_transfer_primary_topic": CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+        "cycle8_deepmind_transfer_replication_seed_base": CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+        "cycle8_deepmind_transfer_replication_topic": CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+        "cycle8_deepmind_transfer_holdout_seed_base": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+        "cycle8_deepmind_transfer_holdout_topic": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+        "cycle8_second_model_transfer_seed_base": CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+        "cycle8_second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
         "cycle8_mix_confirmation_primary_topic": CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
         "cycle8_mix_confirmation_replication_topic": CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
         "cycle8_mix_confirmation_hold_topic": CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -291,6 +314,38 @@ def assert_new_cycle8_mix_generation_seed(seed_base: int) -> None:
         raise ValueError("unseen validation seeds must not be used for development generation")
 
 
+def assert_new_cycle8_deepmind_transfer_generation_seed(seed_base: int) -> None:
+    require_int("seed_base", seed_base)
+    assert_seed_not_confirmation_content(seed_base)
+    row = row_for_seed_base(seed_base)
+    if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("scale validation seed is reserved until the U+034F x1 mechanism is frozen")
+    if seed_base not in {
+        CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+        CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+        CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+    }:
+        raise ValueError("seed_base is not a Cycle 8 DeepMind mix transfer generation seed")
+    if row["eligible_for_confirmation"] is True:
+        raise ValueError("confirmation-reserved seeds must not be used for development")
+    if row["eligible_as_unseen_validation"] is True:
+        raise ValueError("unseen validation seeds must not be used for development generation")
+
+
+def assert_new_cycle8_second_model_transfer_generation_seed(seed_base: int) -> None:
+    require_int("seed_base", seed_base)
+    assert_seed_not_confirmation_content(seed_base)
+    row = row_for_seed_base(seed_base)
+    if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("scale validation seed is reserved until the U+034F x1 mechanism is frozen")
+    if seed_base != CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE:
+        raise ValueError("seed_base is not a Cycle 8 second-model mix transfer generation seed")
+    if row["eligible_for_confirmation"] is True:
+        raise ValueError("confirmation-reserved seeds must not be used for development")
+    if row["eligible_as_unseen_validation"] is True:
+        raise ValueError("unseen validation seeds must not be used for development generation")
+
+
 def known_seed_bases() -> Sequence[int]:
     return tuple(int(row["seed_base"]) for row in global_seed_rows())
 
diff --git a/specs/cycle8/fuckmark-cycle8-invisible-carrier-closed-set-v1.json b/specs/cycle8/fuckmark-cycle8-invisible-carrier-closed-set-v1.json
new file mode 100644
index 00000000..3154c866
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-invisible-carrier-closed-set-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-invisible-carrier-closed-set-v1","boundary":"Assigned Unicode insertions that keep display column width must be Mn, Me, or Cf. Mn dies to Mn-strip. Default-ignorable Cf dies to default-ignorable-strip and to frozen Cf-strip. Non-default-ignorable Cf die to frozen Cf-strip. Me survive those sanitizers and change Chromium pre pixels. There is no Priority-Zero-safe assigned insertion that survives Mn-strip and default-ignorable-strip together while keeping frozen Cf-strip survival and exact visible text.","closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","default_ignorable_strip_restores_mix":true,"display_width_zero_rule":"Mn_Me_Cf","frozen_cf_strip_keeps_mix":true,"me_rejected_for_rendering":true,"me_survives_default_ignorable_strip":true,"me_survives_frozen_cf_strip":true,"me_survives_mn_strip":true,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_are_width0_mn_default_ignorable":true,"mn_strip_restores_mix":true,"non_di_cf_die_to_frozen_cf_strip":true,"priority_zero":"exact_user_visible_text_preservation","stronger_priority_zero_safe_mechanism":null,"width0_assigned_cf_default_ignorable":138,"width0_assigned_cf_not_default_ignorable":32,"width0_assigned_cf_not_default_ignorable_labels":["U+0600","U+0601","U+0602","U+0603","U+0604","U+0605","U+06DD","U+070F","U+0890","U+0891","U+08E2","U+FFF9","U+FFFA","U+FFFB","U+110BD","U+110CD","U+13430","U+13431","U+13432","U+13433","U+13434","U+13435","U+13436","U+13437","U+13438","U+13439","U+1343A","U+1343B","U+1343C","U+1343D","U+1343E","U+1343F"],"width0_assigned_me":13,"width0_assigned_me_labels":["U+0488","U+0489","U+1ABE","U+20DD","U+20DE","U+20DF","U+20E0","U+20E2","U+20E3","U+20E4","U+A670","U+A671","U+A672"],"width0_assigned_mn":1985,"width0_assigned_other":[]}
diff --git a/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
index 4f1e36af..e9e9322c 100644
--- a/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-mix-publishability-v1","cli_algorithm_version":"release-cli-v4","confirmation":{"detector":"Hugging Face SynthID Weighted Mean","min_gap_below_threshold":0.03279838457434092,"transformed_uw":"0/192","transformed_wm":"0/192","visible":"192/192","worst_max_score":0.5243003808577579},"confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","do_not_generate_950000":true,"do_not_retag_v030":true,"freeze_version":"cycle8-mix-freeze-v1","gates":[{"checks":[{"digest":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","id":"mix_freeze_hash","verdict":"PASS"},{"digest":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","id":"confirmation_scorecard_hash","verdict":"PASS"},{"digest":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","id":"product_contract_hash","verdict":"PASS"},{"id":"letter_mix_deterministic","unique_hashes":1,"verdict":"PASS"},{"id":"cli_identity","verdict":"PASS"},{"id":"release_registry_empty","verdict":"PASS"},{"carriers":[],"id":"product_carriers_empty","verdict":"PASS"},{"id":"confirmation_zero_of_192","rate":"0/192","verdict":"PASS"}],"id":"reproducibility","product_blocking":true,"summary":"Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.","verdict":"PASS"},{"checks":[{"id":"visible_projection","pass_count":21,"total":21,"verdict":"PASS"},{"display_width":21,"id":"utf8_nfc_stdio_width","nfc":21,"stdio":21,"utf8":21,"verdict":"PASS"},{"id":"webkit_safari","verdict":"UNKNOWN"},{"id":"terminal_pixels","verdict":"UNKNOWN"}],"id":"visibility_invariance","product_blocking":true,"summary":"Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.","verdict":"PASS"},{"checks":[{"id":"utf8_and_json","json_roundtrip_pass":21,"total":21,"verdict":"PASS"},{"id":"latin1_unsupported","latin1_supported":false,"survive_count":0,"utf8_supported":true,"verdict":"PASS"},{"candidates":9,"hits":9,"id":"visible_projection_search","short_paragraph":true,"verdict":"PASS"},{"breaks":8,"candidates":9,"id":"raw_codepoint_search","product_search_api":false,"verdict":"FAIL"},{"email_preserved":2,"email_total":2,"id":"protected_url_email","url_preserved":2,"url_total":2,"verdict":"PASS"}],"id":"software_compatibility","product_blocking":true,"summary":"Product surfaces are UTF-8, clipboard Unicode, and visible-projection search. Latin-1, ASCII, and cp1252 are unsupported encodings. Raw codepoint search of the payload is not the product search API.","verdict":"PASS"},{"checks":[{"confirmation_frozen_match_raw":true,"id":"frozen_sanitizers","survive":21,"total":21,"verdict":"PASS"},{"category":"stress_only_not_frozen","id":"mn_strip","kills":21,"total":21,"verdict":"FAIL"},{"category":"stress_only_not_frozen","id":"default_ignorable_strip","kills":21,"total":21,"verdict":"FAIL"},{"id":"nfkd","kills":0,"total":21,"verdict":"PASS"},{"assigned_enclosing_me":13,"assigned_format_cf":161,"assigned_nonspacing_mn":1985,"digest":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","id":"invisible_carrier_feasibility_scan","other_non_mn_cf_count":0,"verdict":"PASS"},{"enclosing_marks_rejected_rendering":true,"id":"stronger_invisible_product_mechanism","mechanism":null,"verdict":"FAIL"}],"id":"sanitizer_weaknesses","product_blocking":true,"summary":"Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode has no stronger invisible product mechanism that survives those stress sanitizers while keeping exact visible text.","verdict":"FAIL"},{"checks":[{"count":1,"families":["huggingface-synthid-weighted-mean-gpt2"],"id":"confirmed_families","verdict":"FAIL"},{"digest":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","evidence_label":"HYPOTHESIS","id":"mean_vs_weighted_mean_hypothesis","mix_mean_wm":"0/192","mix_weighted_mean_wm":"0/192","second_model":false,"verdict":"PASS"},{"bayesian_evidence_algorithm":"deepmind-bayesian-evidence-v1","confirmation_implementation":"Hugging Face SynthID Weighted Mean","confirmation_model":"openai-community/gpt2","families":["mean","weighted_mean","bayesian"],"id":"in_tree_unconfirmed_families","mean_algorithm":"deepmind-mean-score-v2","verdict":"FAIL","weighted_mean_algorithm":"deepmind-weighted-mean-score-v2"},{"id":"second_model","verdict":"FAIL"},{"id":"closed_or_proprietary_detector","verdict":"UNKNOWN"}],"id":"cross_detector_generalization","product_blocking":true,"summary":"Confirmation is one open GPT-2 Hugging Face SynthID Weighted Mean detector. Mean versus Weighted Mean on the same adapter and confirmation sources is HYPOTHESIS 0/192, not a second model and not a confirmation rewrite.","verdict":"FAIL"}],"identities":{"confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","mean_transfer_scorecard_hash":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"},"mechanism_id":"u034f-ufe00-letter-alt-v1","product_approved_carriers_v1":[],"product_authorized":false,"product_publishable":false,"release_registry_empty":true,"report_hash":"e13609938ee412b8677d7f6b1ac0c65e792060a8d9af03ecbc2ac059322d18be","weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","low-site rows can remain closer to threshold than high-site rows","token expansion remains large","raw codepoint search of mix payload can miss ordinary English phrases; product search uses visible projection","latin-1, ascii, and cp1252 are unsupported product encodings","Mean versus Weighted Mean transfer is HYPOTHESIS on the same GPT-2 Hugging Face SynthID adapter, not a second model","no stronger Priority-Zero invisible Unicode mechanism survives Mn-strip, default-ignorable-strip, and Cf-strip together"]}
+{"algorithm_version":"cycle8-mix-publishability-v1","cli_algorithm_version":"release-cli-v4","confirmation":{"detector":"Hugging Face SynthID Weighted Mean","min_gap_below_threshold":0.03279838457434092,"transformed_uw":"0/192","transformed_wm":"0/192","visible":"192/192","worst_max_score":0.5243003808577579},"confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","do_not_generate_950000":true,"do_not_retag_v030":true,"freeze_version":"cycle8-mix-freeze-v1","gates":[{"checks":[{"digest":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","id":"mix_freeze_hash","verdict":"PASS"},{"digest":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","id":"confirmation_scorecard_hash","verdict":"PASS"},{"digest":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","id":"product_contract_hash","verdict":"PASS"},{"id":"letter_mix_deterministic","unique_hashes":1,"verdict":"PASS"},{"id":"cli_identity","verdict":"PASS"},{"id":"release_registry_empty","verdict":"PASS"},{"carriers":[],"id":"product_carriers_empty","verdict":"PASS"},{"id":"confirmation_zero_of_192","rate":"0/192","verdict":"PASS"}],"id":"reproducibility","product_blocking":true,"summary":"Frozen mix hashes, confirmation 0/192, identity CLI, and deterministic letter-mix apply replay locally.","verdict":"PASS"},{"checks":[{"id":"visible_projection","pass_count":21,"total":21,"verdict":"PASS"},{"display_width":21,"id":"utf8_nfc_stdio_width","nfc":21,"stdio":21,"utf8":21,"verdict":"PASS"},{"id":"webkit_safari","verdict":"UNKNOWN"},{"id":"terminal_pixels","verdict":"UNKNOWN"}],"id":"visibility_invariance","product_blocking":true,"summary":"Mix keeps exact visible projection, NFC, UTF-8, stdio, and display width on supported ASCII fixtures. WebKit and terminal pixels stay UNKNOWN.","verdict":"PASS"},{"checks":[{"id":"utf8_and_json","json_roundtrip_pass":21,"total":21,"verdict":"PASS"},{"id":"latin1_unsupported","latin1_supported":false,"survive_count":0,"utf8_supported":true,"verdict":"PASS"},{"candidates":9,"hits":9,"id":"visible_projection_search","short_paragraph":true,"verdict":"PASS"},{"breaks":8,"candidates":9,"id":"raw_codepoint_search","product_search_api":false,"verdict":"FAIL"},{"email_preserved":2,"email_total":2,"id":"protected_url_email","url_preserved":2,"url_total":2,"verdict":"PASS"}],"id":"software_compatibility","product_blocking":true,"summary":"Product surfaces are UTF-8, clipboard Unicode, and visible-projection search. Latin-1, ASCII, and cp1252 are unsupported encodings. Raw codepoint search of the payload is not the product search API.","verdict":"PASS"},{"checks":[{"confirmation_frozen_match_raw":true,"id":"frozen_sanitizers","survive":21,"total":21,"verdict":"PASS"},{"category":"stress_only_not_frozen","id":"mn_strip","kills":21,"total":21,"verdict":"FAIL"},{"category":"stress_only_not_frozen","id":"default_ignorable_strip","kills":21,"total":21,"verdict":"FAIL"},{"id":"nfkd","kills":0,"total":21,"verdict":"PASS"},{"assigned_enclosing_me":13,"assigned_format_cf":161,"assigned_nonspacing_mn":1985,"digest":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","id":"invisible_carrier_feasibility_scan","other_non_mn_cf_count":0,"verdict":"PASS"},{"digest":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","id":"invisible_carrier_closed_set","verdict":"PASS","width0_assigned_cf_not_default_ignorable":32,"width0_assigned_me":13,"width0_assigned_mn":1985,"width0_assigned_other":[]},{"closed_set_mechanism":null,"enclosing_marks_rejected_rendering":true,"id":"stronger_invisible_product_mechanism","mechanism":null,"verdict":"FAIL"}],"id":"sanitizer_weaknesses","product_blocking":true,"summary":"Frozen Cycle 6/7 sanitizers keep mix. Mn-strip and default-ignorable-strip remove U+034F and U+FE00. Assigned Unicode width-0 insertions are Mn, Me, or Cf. Non-default-ignorable Cf die to frozen Cf-strip. Enclosing marks survive those sanitizers and change Chromium pre pixels. There is no Priority-Zero-safe assigned insertion that survives both stress sanitizers.","verdict":"FAIL"},{"checks":[{"count":2,"families":["huggingface-synthid-weighted-mean-gpt2","deepmind-synthid-text-30key-weighted-mean-gpt2"],"id":"confirmed_families","verdict":"PASS"},{"digest":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","evidence_label":"HYPOTHESIS","id":"mean_vs_weighted_mean_hypothesis","mix_mean_wm":"0/192","mix_weighted_mean_wm":"0/192","second_model":false,"verdict":"PASS"},{"digest":"ed61939e164e4c39277bf385961a95eb239178db84e63959f72948fab7df25e5","evidence_label":"HYPOTHESIS","id":"deepmind_30key_hypothesis","identity_wm":"189/192","keys_depth":30,"mix_wm":"0/192","second_configuration":true,"second_model":false,"verdict":"PASS"},{"bayesian_evidence_algorithm":"deepmind-bayesian-evidence-v1","confirmation_implementation":"Hugging Face SynthID Weighted Mean","confirmation_model":"openai-community/gpt2","families":["mean","weighted_mean","bayesian"],"id":"in_tree_unconfirmed_families","mean_algorithm":"deepmind-mean-score-v2","verdict":"FAIL","weighted_mean_algorithm":"deepmind-weighted-mean-score-v2"},{"confirmation_scale":false,"digest":"1f6c9a6af58e9dd547940a393c7e4115713d6333ab4d5162ad382bf5a91d5156","evidence_label":"HYPOTHESIS","id":"second_model","identity_wm":"16/16","mix_wm":"0/16","model":"distilbert/distilgpt2","second_configuration":false,"second_model":true,"verdict":"PASS"},{"id":"closed_or_proprietary_detector","verdict":"UNKNOWN"}],"id":"cross_detector_generalization","product_blocking":true,"summary":"Mix-freeze confirmation is Hugging Face GPT-2 SynthID Weighted Mean 0/192. Independent Google synthid-text 30-key mixin generation and official logits processor is confirmation-scale mix 0/192, identity WM 189/192, still GPT-2. DistilGPT2 n=16 on the same 30-key stack is HYPOTHESIS second-model transfer, not confirmation-scale. Mean versus Weighted Mean on the Hugging Face adapter remains HYPOTHESIS, not a second model.","verdict":"PASS"}],"identities":{"closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","deepmind_transfer_scorecard_hash":"ed61939e164e4c39277bf385961a95eb239178db84e63959f72948fab7df25e5","feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","mean_transfer_scorecard_hash":"1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","second_model_transfer_scorecard_hash":"1f6c9a6af58e9dd547940a393c7e4115713d6333ab4d5162ad382bf5a91d5156"},"mechanism_id":"u034f-ufe00-letter-alt-v1","product_approved_carriers_v1":[],"product_authorized":false,"product_publishable":false,"release_registry_empty":true,"report_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","low-site rows can remain closer to threshold than high-site rows","token expansion remains large","raw codepoint search of mix payload can miss ordinary English phrases; product search uses visible projection","latin-1, ascii, and cp1252 are unsupported product encodings","Mean versus Weighted Mean transfer is HYPOTHESIS on the same GPT-2 Hugging Face SynthID adapter, not a second model","DeepMind synthid-text 30-key transfer is confirmation-scale mix 0/192 on GPT-2 and is not mix-freeze confirmation","DistilGPT2 n=16 second-model transfer is HYPOTHESIS, same GPT-2 BPE tokenizer, not confirmation-scale","no stronger Priority-Zero invisible Unicode mechanism survives Mn-strip, default-ignorable-strip, and Cf-strip together"]}
diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
index 84062041..77545c35 100644
--- a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"cycle7_publicly_exposed_validation_seed_base":880000,"density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"62c8fdfd3d38ca5cf1746a50c7e490357829592669981f4666211be01744b0d1","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
+{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"761c50d90308a06255c56c905cb66f69c16c561602943dd09acce7de5dcd8270","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json
index 850ee180..4828c21a 100644
--- a/specs/fuckmark-global-seed-ledger-v1.json
+++ b/specs/fuckmark-global-seed-ledger-v1.json
@@ -1 +1 @@
-{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"cycle8_density_exploratory_seed_base":960000,"cycle8_density_exploratory_topic":"carrier density follow-up","cycle8_letter_benchmark_primary_seed_base":980000,"cycle8_letter_benchmark_primary_topic":"letter carrier system benchmark","cycle8_letter_benchmark_replication_seed_base":990000,"cycle8_letter_benchmark_replication_topic":"letter carrier benchmark replication","cycle8_letter_exploratory_seed_base":970000,"cycle8_letter_exploratory_topic":"intra-word carrier follow-up","cycle8_margin_primary_seed_base":1000000,"cycle8_margin_primary_topic":"margin robustness development","cycle8_margin_replication_seed_base":1010000,"cycle8_margin_replication_topic":"margin robustness replication","cycle8_mix_confirmation_hold_topic":"mix formal confirmation holdout","cycle8_mix_confirmation_primary_topic":"mix formal confirmation primary","cycle8_mix_confirmation_replication_topic":"mix formal confirmation replication","cycle8_mix_primary_seed_base":1020000,"cycle8_mix_primary_topic":"letter mix margin development","cycle8_mix_replication_seed_base":1030000,"cycle8_mix_replication_topic":"letter mix margin replication","cycle8_mix_scale_primary_seed_base":1040000,"cycle8_mix_scale_primary_topic":"letter mix scale development","cycle8_mix_scale_replication_seed_base":1050000,"cycle8_mix_scale_replication_topic":"letter mix scale replication","cycle8_scale_exploratory_seed_base":930000,"cycle8_scale_exploratory_topic":"carrier scaling","cycle8_scale_replication_seed_base":940000,"cycle8_scale_replication_topic":"independent scale replication","cycle8_scale_validation_seed_base":950000,"cycle8_scale_validation_topic":"clean scale validation","ledger_hash":"cd15b42d853179f0ae26df556877f781206332996745b026c64d691477423321","publicly_exposed_unseen_invalid_seed_bases":[880000],"rows":[{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic schedule","notes":"Historic TinyDev schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":61000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev canonical attack base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":401000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev base.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":402000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"tiny-dev-v3","notes":"Budget-scaled coverage tiny-dev-v3 base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":410000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-effectiveness seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":420000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":430000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":440000,"spent":true},{"cycle":"calibration","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic calibration","notes":"Historic calibration base.","publicly_exposed":true,"role":"threshold_calibration","scored":true,"seed_base":500000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. 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Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":false,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. Unused. Not a confirmation reserve.","publicly_exposed":false,"role":"exploratory_development","scored":false,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up."}
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base.","publicly_exposed":true,"role":"threshold_calibration","scored":true,"seed_base":500000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":530000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":540000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":550000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development 0/16. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":720000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":730000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":760000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer."}
diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py
index dee0a78b..d8f893e2 100644
--- a/tests/test_cycle8_carriers.py
+++ b/tests/test_cycle8_carriers.py
@@ -70,6 +70,12 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert payload["mix_scale_primary_seed_base"] == 1_040_000
     assert payload["mix_scale_replication_seed_base"] == 1_050_000
     assert payload["mix_scale_primary_topic"] == "letter mix scale development"
+    assert payload["deepmind_transfer_primary_seed_base"] == 1_060_000
+    assert payload["deepmind_transfer_replication_seed_base"] == 1_070_000
+    assert payload["deepmind_transfer_holdout_seed_base"] == 1_080_000
+    assert payload["second_model_transfer_seed_base"] == 1_090_000
+    assert payload["deepmind_transfer_primary_topic"] == "deepmind mix transfer primary"
+    assert payload["second_model_transfer_topic"] == "second model mix transfer"
     assert payload["confirmation_reserved_seed_bases"] == [830_000, 840_000, 850_000]
     assert payload["cycle7_publicly_exposed_validation_seed_base"] == 880_000
     assert cycle8_seed_ledger_hash()
@@ -85,6 +91,10 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert_cycle8_development_seed(1_030_000, role="mix_margin_replication")
     assert_cycle8_development_seed(1_040_000, role="mix_scale_primary")
     assert_cycle8_development_seed(1_050_000, role="mix_scale_replication")
+    assert_cycle8_development_seed(1_060_000, role="deepmind_transfer_primary")
+    assert_cycle8_development_seed(1_070_000, role="deepmind_transfer_replication")
+    assert_cycle8_development_seed(1_080_000, role="deepmind_transfer_holdout")
+    assert_cycle8_development_seed(1_090_000, role="second_model_transfer")
     with pytest.raises(ValueError):
         assert_cycle8_development_seed(760_000, role="exploratory_development")
     with pytest.raises(ValueError, match="publicly exposed|spent or reserved"):
diff --git a/tests/test_cycle8_closed_set.py b/tests/test_cycle8_closed_set.py
new file mode 100644
index 00000000..1959fd4a
--- /dev/null
+++ b/tests/test_cycle8_closed_set.py
@@ -0,0 +1,75 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress
+from fuckmark.cycle8.closed_set import (
+    CYCLE8_CLOSED_SET_HASH,
+    CYCLE8_CLOSED_SET_PATH,
+    CYCLE8_CLOSED_SET_VERSION,
+    assert_invisible_carrier_closed_set_committed,
+    scan_invisible_carrier_closed_set,
+)
+from fuckmark.product.rendering import chrome_executable, compare_chrome_pre_screenshots
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.hashing import sha256_json
+from fuckmark.sanitizer_robustness import strip_unicode_format_characters
+
+
+def test_invisible_carrier_closed_set_has_no_priority_zero_safe_survivor() -> None:
+    disk = json.loads((Path(__file__).resolve().parents[1] / CYCLE8_CLOSED_SET_PATH).read_text(encoding="utf-8"))
+    payload = scan_invisible_carrier_closed_set()
+    assert disk == payload
+    assert disk["closed_set_hash"] == payload["closed_set_hash"] == sha256_json(
+        {key: value for key, value in payload.items() if key != "closed_set_hash"}
+    )
+    assert disk["closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+    assert disk["algorithm_version"] == CYCLE8_CLOSED_SET_VERSION
+    assert disk["stronger_priority_zero_safe_mechanism"] is None
+    assert disk["width0_assigned_other"] == []
+    assert disk["width0_assigned_mn"] == 1985
+    assert disk["width0_assigned_me"] == 13
+    assert disk["width0_assigned_cf_not_default_ignorable"] == 32
+    assert disk["mix_carriers_are_width0_mn_default_ignorable"] is True
+    assert disk["non_di_cf_die_to_frozen_cf_strip"] is True
+    assert disk["me_survives_mn_strip"] is True
+    assert disk["me_survives_default_ignorable_strip"] is True
+    assert disk["me_survives_frozen_cf_strip"] is True
+    assert disk["me_rejected_for_rendering"] is True
+    assert_invisible_carrier_closed_set_committed()
+    source = "I do not agree."
+    transformed = apply_letter_alternating_mix(source)
+    assert sanitize_benchmark_stress("mn_strip", transformed) == source
+    assert sanitize_benchmark_stress("default_ignorable_strip", transformed) == source
+    assert strip_unicode_format_characters(transformed) == transformed
+
+
+def test_all_width0_enclosing_marks_change_chromium_pre_pixels() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    disk = json.loads((Path(__file__).resolve().parents[1] / CYCLE8_CLOSED_SET_PATH).read_text(encoding="utf-8"))
+    labels = disk["width0_assigned_me_labels"]
+    assert labels == [
+        "U+0488",
+        "U+0489",
+        "U+1ABE",
+        "U+20DD",
+        "U+20DE",
+        "U+20DF",
+        "U+20E0",
+        "U+20E2",
+        "U+20E3",
+        "U+20E4",
+        "U+A670",
+        "U+A671",
+        "U+A672",
+    ]
+    original = "I do not agree."
+    for label in labels:
+        codepoint = int(label[2:], 16)
+        comparison = compare_chrome_pre_screenshots(original, f"I{chr(codepoint)} do not agree.")
+        if comparison.status == "UNKNOWN":
+            pytest.skip(comparison.detail)
+        assert comparison.status == "REJECTED"
+        assert comparison.equal is False
diff --git a/tests/test_cycle8_deepmind_transfer.py b/tests/test_cycle8_deepmind_transfer.py
new file mode 100644
index 00000000..51d10115
--- /dev/null
+++ b/tests/test_cycle8_deepmind_transfer.py
@@ -0,0 +1,121 @@
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.deepmind_transfer import (
+    CYCLE8_MIX_DEEPMIND_TRANSFER_HASH,
+    CYCLE8_MIX_DEEPMIND_TRANSFER_PATH,
+    CYCLE8_MIX_DEEPMIND_TRANSFER_VERSION,
+    CYCLE8_MIX_DEEPMIND_920000_HASH,
+    assert_mix_deepmind_transfer_committed,
+    transfer_corpus_paths,
+)
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.hashing import sha256_file, sha256_json, sha256_text
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+_920000 = "evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27"
+_920000_HASH = "ee521a04ab6017134e7aa2b48f07da0612c188f8bf2b353611f33f33a4cbb7bf"
+
+
+def test_deepmind_920000_n16_is_independent_configuration_hypothesis() -> None:
+    root = Path(__file__).resolve().parents[1] / _920000
+    disk = json.loads((root / "scorecard.json").read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == _920000_HASH
+    assert disk["algorithm_version"] == "cycle8-mix-deepmind-30key-transfer-v1"
+    assert disk["seed_base"] == 920000
+    assert disk["pair_count"] == 16
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["second_model"] is False
+    assert disk["second_configuration"] is True
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["model"] == "openai-community/gpt2"
+    assert disk["generation"] == "synthid_text.SynthIDGPT2LMHeadModel"
+    assert disk["detector"] == "synthid_text.logits_processing.SynthIDLogitsProcessor"
+    assert disk["keys_depth"] == 30
+    assert disk["visible_pass"] is True
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["identity_wm"]["rate"] == "16/16"
+    assert effectiveness["mix_wm"]["rate"] == "0/16"
+    assert effectiveness["identity_uw"]["rate"] == "0/16"
+    assert effectiveness["mix_uw"]["rate"] == "0/16"
+    assert float(effectiveness["mix_wm_max_score"]) == 0.5063963600986625
+    samples = json.loads((root / "samples.json").read_text(encoding="utf-8"))
+    by_id = {row["sample_id"]: row for row in disk["rows"]}
+    assert len(disk["rows"]) == 32
+    assert len(samples["samples"]) == 32
+    for sample in samples["samples"]:
+        source = str(sample["text"])
+        row = by_id[str(sample["sample_id"])]
+        assert "text" not in row
+        assert "text" not in row["mix"]
+        assert row["source_sha256"] == sample["text_sha256"] == sha256_text(source)
+        assert row["mix"]["text_sha256"] == sha256_text(apply_letter_alternating_mix(source))
+        assert row["visible_ok"] is True
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8")
+    for line in sums.splitlines():
+        digest, name = line.split()
+        assert sha256_file(root / name) == digest
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
+
+
+def test_deepmind_n192_transfer_is_independent_configuration_hypothesis() -> None:
+    root = Path(__file__).resolve().parents[1]
+    disk = json.loads((root / CYCLE8_MIX_DEEPMIND_TRANSFER_PATH).read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == CYCLE8_MIX_DEEPMIND_TRANSFER_HASH
+    assert disk["algorithm_version"] == CYCLE8_MIX_DEEPMIND_TRANSFER_VERSION
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["mix_freeze_confirmation"] is False
+    assert disk["second_model"] is False
+    assert disk["second_configuration"] is True
+    assert disk["keys_depth"] == 30
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["visible_pass"] is True
+    assert disk["exploratory_920000_n16_hash"] == CYCLE8_MIX_DEEPMIND_920000_HASH
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["identity_wm"]["rate"] == "189/192"
+    assert effectiveness["mix_wm"]["rate"] == "0/192"
+    assert effectiveness["identity_uw"]["rate"] == "0/192"
+    assert effectiveness["mix_uw"]["rate"] == "0/192"
+    assert float(effectiveness["mix_wm_max_score"]) == 0.5067599700507657
+    assert_mix_deepmind_transfer_committed()
+    expected = {
+        1060000: ("63/64", "0/64", "2c828e6076005b5aa1b94aad145b20a8748766134fea62c2690202a7ded36e52"),
+        1070000: ("63/64", "0/64", "b05e9e80e41fe8487769bdb2908642d59bc2e753746f02dcd05d8f956fb5cb92"),
+        1080000: ("63/64", "0/64", "d97f005332d45b93be3588e413055d7ff0035b234f1b4213d3db9e83f85df4d0"),
+    }
+    for seed_base, relative, digest in transfer_corpus_paths():
+        artifact = json.loads((root / relative).read_text(encoding="utf-8"))
+        body = {key: value for key, value in artifact.items() if key != "scorecard_hash"}
+        assert artifact["scorecard_hash"] == sha256_json(body) == digest
+        identity_rate, mix_rate, _expected = expected[seed_base]
+        assert artifact["effectiveness"]["identity_wm"]["rate"] == identity_rate
+        assert artifact["effectiveness"]["mix_wm"]["rate"] == mix_rate
+        assert artifact["effectiveness"]["mix_uw"]["rate"] == "0/64"
+        assert artifact["visible_pass"] is True
+        samples = json.loads((root / Path(relative).parent / "samples.json").read_text(encoding="utf-8"))
+        by_id = {row["sample_id"]: row for row in artifact["rows"]}
+        assert len(artifact["rows"]) == 128
+        for sample in samples["samples"]:
+            source = str(sample["text"])
+            row = by_id[str(sample["sample_id"])]
+            assert "text" not in row
+            assert "text" not in row["mix"]
+            assert row["source_sha256"] == sample["text_sha256"] == sha256_text(source)
+            assert row["mix"]["text_sha256"] == sha256_text(apply_letter_alternating_mix(source))
+        sums_root = root / Path(relative).parent
+        for line in (sums_root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines():
+            file_digest, name = line.split()
+            assert sha256_file(sums_root / name) == file_digest
+    combined_root = root / Path(CYCLE8_MIX_DEEPMIND_TRANSFER_PATH).parent
+    for line in (combined_root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines():
+        file_digest, name = line.split()
+        assert sha256_file(combined_root / name) == file_digest
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
diff --git a/tests/test_cycle8_mix_publishability.py b/tests/test_cycle8_mix_publishability.py
index a55db726..fb6fb721 100644
--- a/tests/test_cycle8_mix_publishability.py
+++ b/tests/test_cycle8_mix_publishability.py
@@ -66,7 +66,7 @@ def test_mix_publishability_gates_match_measured_evidence() -> None:
     assert gates["visibility_invariance"]["verdict"] == "PASS"
     assert gates["software_compatibility"]["verdict"] == "PASS"
     assert gates["sanitizer_weaknesses"]["verdict"] == "FAIL"
-    assert gates["cross_detector_generalization"]["verdict"] == "FAIL"
+    assert gates["cross_detector_generalization"]["verdict"] == "PASS"
     assert all(gate["product_blocking"] is True for gate in payload["gates"])
     checks = {gate["id"]: {check["id"]: check["verdict"] for check in gate["checks"]} for gate in payload["gates"]}
     assert checks["reproducibility"]["confirmation_zero_of_192"] == "PASS"
@@ -82,15 +82,36 @@ def test_mix_publishability_gates_match_measured_evidence() -> None:
     assert checks["sanitizer_weaknesses"]["default_ignorable_strip"] == "FAIL"
     assert checks["sanitizer_weaknesses"]["nfkd"] == "PASS"
     assert checks["sanitizer_weaknesses"]["invisible_carrier_feasibility_scan"] == "PASS"
+    assert checks["sanitizer_weaknesses"]["invisible_carrier_closed_set"] == "PASS"
     assert checks["sanitizer_weaknesses"]["stronger_invisible_product_mechanism"] == "FAIL"
-    assert checks["cross_detector_generalization"]["confirmed_families"] == "FAIL"
+    assert checks["cross_detector_generalization"]["confirmed_families"] == "PASS"
     assert checks["cross_detector_generalization"]["mean_vs_weighted_mean_hypothesis"] == "PASS"
-    assert checks["cross_detector_generalization"]["second_model"] == "FAIL"
+    assert checks["cross_detector_generalization"]["deepmind_30key_hypothesis"] == "PASS"
+    assert checks["cross_detector_generalization"]["second_model"] == "PASS"
+    families = next(
+        check["families"]
+        for check in gates["cross_detector_generalization"]["checks"]
+        if check["id"] == "confirmed_families"
+    )
+    assert families == [
+        "huggingface-synthid-weighted-mean-gpt2",
+        "deepmind-synthid-text-30key-weighted-mean-gpt2",
+    ]
+    second_model = next(
+        check
+        for check in gates["cross_detector_generalization"]["checks"]
+        if check["id"] == "second_model"
+    )
+    assert second_model["confirmation_scale"] is False
+    assert second_model["model"] == "distilbert/distilgpt2"
     assert payload["identities"]["mix_freeze_hash"] == mix_freeze_hash() == _FREEZE_HASH
     assert payload["identities"]["confirmation_scorecard_hash"] == _SCORECARD_HASH
     assert payload["identities"]["product_contract_hash"] == FROZEN_PRODUCT_CONTRACT_HASH
     assert payload["identities"]["feasibility_hash"] == "edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483"
+    assert payload["identities"]["closed_set_hash"] == "425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d"
     assert payload["identities"]["mean_transfer_scorecard_hash"] == "1b13209f53dcb18e1e93938f22c39bcb510eb4292c1d841db6fbe51052d8e620"
+    assert payload["identities"]["deepmind_transfer_scorecard_hash"] == "ed61939e164e4c39277bf385961a95eb239178db84e63959f72948fab7df25e5"
+    assert payload["identities"]["second_model_transfer_scorecard_hash"] == "1f6c9a6af58e9dd547940a393c7e4115713d6333ab4d5162ad382bf5a91d5156"
     assert payload["confirmation"]["transformed_wm"] == "0/192"
     assert payload["confirmation"]["transformed_uw"] == "0/192"
     assert payload["confirmation"]["visible"] == "192/192"
diff --git a/tests/test_cycle8_second_model_transfer.py b/tests/test_cycle8_second_model_transfer.py
new file mode 100644
index 00000000..97f6be1a
--- /dev/null
+++ b/tests/test_cycle8_second_model_transfer.py
@@ -0,0 +1,68 @@
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.second_model_transfer import (
+    CYCLE8_MIX_SECOND_MODEL_ID,
+    CYCLE8_MIX_SECOND_MODEL_REVISION,
+    CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH,
+    CYCLE8_MIX_SECOND_MODEL_TRANSFER_PATH,
+    CYCLE8_MIX_SECOND_MODEL_TRANSFER_VERSION,
+    assert_mix_second_model_transfer_committed,
+)
+from fuckmark.hashing import sha256_file, sha256_json, sha256_text
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+_ROOT = "evidence/cycle8-mix-distilgpt2-1090000-n16-2026-08-27"
+
+
+def test_distilgpt2_n16_is_second_model_hypothesis_not_confirmation() -> None:
+    root = Path(__file__).resolve().parents[1] / _ROOT
+    disk = json.loads((root / "scorecard.json").read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == CYCLE8_MIX_SECOND_MODEL_TRANSFER_HASH
+    assert CYCLE8_MIX_SECOND_MODEL_TRANSFER_PATH == f"{_ROOT}/scorecard.json"
+    assert disk["algorithm_version"] == CYCLE8_MIX_SECOND_MODEL_TRANSFER_VERSION
+    assert disk["seed_base"] == 1090000
+    assert disk["pair_count"] == 16
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["mix_freeze_confirmation"] is False
+    assert disk["second_model"] is True
+    assert disk["second_configuration"] is False
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["model"] == CYCLE8_MIX_SECOND_MODEL_ID
+    assert disk["model_revision"] == CYCLE8_MIX_SECOND_MODEL_REVISION
+    assert disk["generation"] == "synthid_text.SynthIDGPT2LMHeadModel"
+    assert disk["detector"] == "synthid_text.logits_processing.SynthIDLogitsProcessor"
+    assert disk["keys_depth"] == 30
+    assert disk["tokenizer"] == "GPT2TokenizerFast"
+    assert disk["tokenizer_vocab_size"] == 50257
+    assert disk["visible_pass"] is True
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["identity_wm"]["rate"] == "16/16"
+    assert effectiveness["mix_wm"]["rate"] == "0/16"
+    assert effectiveness["identity_uw"]["rate"] == "0/16"
+    assert effectiveness["mix_uw"]["rate"] == "0/16"
+    assert float(effectiveness["mix_wm_max_score"]) == 0.5047997827277791
+    samples = json.loads((root / "samples.json").read_text(encoding="utf-8"))
+    by_id = {row["sample_id"]: row for row in disk["rows"]}
+    assert len(disk["rows"]) == 32
+    assert len(samples["samples"]) == 32
+    for sample in samples["samples"]:
+        source = str(sample["text"])
+        row = by_id[str(sample["sample_id"])]
+        assert "text" not in row
+        assert "text" not in row["mix"]
+        assert row["source_sha256"] == sample["text_sha256"] == sha256_text(source)
+        assert row["mix"]["text_sha256"] == sha256_text(apply_letter_alternating_mix(source))
+        assert row["visible_ok"] is True
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8")
+    for line in sums.splitlines():
+        digest, name = line.split()
+        assert sha256_file(root / name) == digest
+    assert_mix_second_model_transfer_committed()
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py
index 6043fc84..f1bfb569 100644
--- a/tests/test_global_seed_ledger.py
+++ b/tests/test_global_seed_ledger.py
@@ -25,6 +25,14 @@
     CYCLE8_MIX_SCALE_PRIMARY_TOPIC,
     CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE,
     CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,
+    CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
+    CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
+    CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
     CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
@@ -39,6 +47,8 @@
     assert_new_cycle8_letter_benchmark_generation_seed,
     assert_new_cycle8_margin_generation_seed,
     assert_new_cycle8_mix_generation_seed,
+    assert_new_cycle8_deepmind_transfer_generation_seed,
+    assert_new_cycle8_second_model_transfer_generation_seed,
     assert_new_cycle8_scale_generation_seed,
     assert_seed_not_confirmation_content,
     global_seed_ledger_hash,
@@ -107,6 +117,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
     assert 1000000 in bases and 1010000 in bases
     assert 1020000 in bases and 1030000 in bases
     assert 1040000 in bases and 1050000 in bases
+    assert 1060000 in bases and 1070000 in bases and 1080000 in bases and 1090000 in bases
     density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE)
     assert density["generated"] is True
     assert density["scored"] is True
@@ -185,3 +196,29 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
         assert_new_cycle8_mix_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
     with pytest.raises(ValueError, match="confirmation"):
         assert_new_cycle8_mix_generation_seed(830000)
+    deepmind_primary = row_for_seed_base(CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE)
+    assert deepmind_primary["generation_topic"] == CYCLE8_DEEPMIND_TRANSFER_PRIMARY_TOPIC == "deepmind mix transfer primary"
+    assert deepmind_primary["generated"] is True
+    assert deepmind_primary["scored"] is True
+    assert deepmind_primary["eligible_for_confirmation"] is False
+    assert_new_cycle8_deepmind_transfer_generation_seed(CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE)
+    assert_new_cycle8_deepmind_transfer_generation_seed(CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE)
+    assert_new_cycle8_deepmind_transfer_generation_seed(CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE)
+    with pytest.raises(ValueError, match="DeepMind"):
+        assert_new_cycle8_deepmind_transfer_generation_seed(CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE)
+    with pytest.raises(ValueError, match="frozen"):
+        assert_new_cycle8_deepmind_transfer_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
+    with pytest.raises(ValueError, match="confirmation"):
+        assert_new_cycle8_deepmind_transfer_generation_seed(830000)
+    second_model = row_for_seed_base(CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE)
+    assert second_model["generation_topic"] == CYCLE8_SECOND_MODEL_TRANSFER_TOPIC == "second model mix transfer"
+    assert second_model["generated"] is True
+    assert second_model["scored"] is True
+    assert second_model["eligible_for_confirmation"] is False
+    assert_new_cycle8_second_model_transfer_generation_seed(CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE)
+    with pytest.raises(ValueError, match="second-model"):
+        assert_new_cycle8_second_model_transfer_generation_seed(CYCLE8_DEEPMIND_TRANSFER_PRIMARY_SEED_BASE)
+    with pytest.raises(ValueError, match="frozen"):
+        assert_new_cycle8_second_model_transfer_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
+    with pytest.raises(ValueError, match="confirmation"):
+        assert_new_cycle8_second_model_transfer_generation_seed(830000)

From b0c1fe42fa9b4a8add0c39ce75aff38fd9cac26c Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 01:10:21 +0000
Subject: [PATCH 04/28] Keep Unicode feasibility scans portable across Python
 versions.

Frozen H9 and closed-set hashes stay the CPython 3.12 snapshot. Live
scans on 3.11 and 3.13 still must find no stronger Priority-Zero
mechanism. Mix stays out of the public CLI.

Co-authored-by: Byte271 
---
 docs/cycle8/mix-publishability.md |  2 +-
 fuckmark/cycle8/closed_set.py     | 34 +++++++++++++++++++++++++------
 fuckmark/cycle8/feasibility.py    | 34 ++++++++++++++++++++++++-------
 tests/test_cycle8_closed_set.py   | 12 ++++++++---
 tests/test_cycle8_feasibility.py  | 13 +++++++++---
 5 files changed, 75 insertions(+), 20 deletions(-)

diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 905492f6..8e08b2f0 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -41,7 +41,7 @@ PASS on the product surface:
 
 FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers because U+034F and U+FE00 are Mn and default-ignorable. NFKD keeps them.
 
-Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism. Closed set `cycle8-invisible-carrier-closed-set-v1` confirms display-width-0 assigned insertions are only Mn, Me, or Cf:
+Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism. Closed set `cycle8-invisible-carrier-closed-set-v1` confirms display-width-0 assigned insertions are only Mn, Me, or Cf. Frozen counts are a CPython 3.12 Unicode snapshot. Live scans on other Python versions must still find zero width-0 assigned insertions outside Mn/Me/Cf and must not claim a stronger mechanism.
 
 - visible/control: 140882
 - Cf: 161 (dies to frozen Cf-strip)
diff --git a/fuckmark/cycle8/closed_set.py b/fuckmark/cycle8/closed_set.py
index 2f756ab2..843d7523 100644
--- a/fuckmark/cycle8/closed_set.py
+++ b/fuckmark/cycle8/closed_set.py
@@ -111,18 +111,40 @@ def load_invisible_carrier_closed_set(path: str | Path | None = None) -> dict[st
     return json.loads(destination.read_text(encoding="utf-8"))
 
 
+def assert_live_closed_set_boundary(payload: dict[str, object] | None = None) -> dict[str, object]:
+    live = payload if payload is not None else scan_invisible_carrier_closed_set()
+    if live["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("live closed-set scan must not claim a stronger Priority-Zero-safe mechanism")
+    if live["width0_assigned_other"]:
+        raise ValueError("live closed-set scan found unexpected width-0 assigned code points")
+    if live["width0_assigned_me"] != 13:
+        raise ValueError("live closed-set scan enclosing-mark count mismatch")
+    if live["mix_carriers_are_width0_mn_default_ignorable"] is not True:
+        raise ValueError("live closed-set scan mix-carrier classification mismatch")
+    if live["non_di_cf_die_to_frozen_cf_strip"] is not True:
+        raise ValueError("live closed-set scan non-default-ignorable Cf must die to Cf-strip")
+    if live["me_survives_mn_strip"] is not True:
+        raise ValueError("live closed-set scan enclosing marks must survive Mn-strip")
+    if live["me_survives_default_ignorable_strip"] is not True:
+        raise ValueError("live closed-set scan enclosing marks must survive default-ignorable-strip")
+    return live
+
+
 def assert_invisible_carrier_closed_set_committed() -> None:
     path = Path(CYCLE8_CLOSED_SET_PATH)
     if not path.is_file():
         raise ValueError("invisible carrier closed-set spec is not committed")
     disk = json.loads(path.read_text(encoding="utf-8"))
-    payload = scan_invisible_carrier_closed_set()
-    if disk != payload:
-        raise ValueError("invisible carrier closed-set spec does not match the scan payload")
-    digest = str(payload["closed_set_hash"])
+    body = {key: value for key, value in disk.items() if key != "closed_set_hash"}
+    digest = sha256_json(body)
+    if disk.get("closed_set_hash") != digest:
+        raise ValueError("invisible carrier closed-set spec hash mismatch")
     if CYCLE8_CLOSED_SET_HASH != "0" * 64 and digest != CYCLE8_CLOSED_SET_HASH:
         raise ValueError("invisible carrier closed-set spec hash is not the frozen digest")
-    if payload["stronger_priority_zero_safe_mechanism"] is not None:
+    if disk["stronger_priority_zero_safe_mechanism"] is not None:
         raise ValueError("closed-set spec must not claim a stronger Priority-Zero-safe mechanism")
-    if payload["width0_assigned_other"]:
+    if disk["width0_assigned_other"]:
         raise ValueError("closed-set spec found unexpected width-0 assigned code points")
+    live = assert_live_closed_set_boundary()
+    if live["width0_assigned_mn"] == disk["width0_assigned_mn"] and live != disk:
+        raise ValueError("invisible carrier closed-set spec does not match the scan payload")
diff --git a/fuckmark/cycle8/feasibility.py b/fuckmark/cycle8/feasibility.py
index 630223a8..a116cc4d 100644
--- a/fuckmark/cycle8/feasibility.py
+++ b/fuckmark/cycle8/feasibility.py
@@ -112,20 +112,40 @@ def write_invisible_carrier_feasibility_spec(path: str | Path | None = None) ->
     return destination
 
 
+def assert_live_feasibility_boundary(payload: dict[str, object] | None = None) -> dict[str, object]:
+    live = payload if payload is not None else scan_invisible_carrier_feasibility()
+    if live["stronger_invisible_product_mechanism"] is not None:
+        raise ValueError("live feasibility scan must not claim a stronger invisible product mechanism")
+    if live["other_non_mn_cf_count"] != 0:
+        raise ValueError("live feasibility scan found unexpected non-Mn non-Cf assigned code points")
+    if live["other_non_mn_cf"] != []:
+        raise ValueError("live feasibility scan found unexpected non-Mn non-Cf assigned code points")
+    if live["survives_mn_cf_and_default_ignorable_while_invisible"] is not False:
+        raise ValueError("live feasibility scan must not claim an invisible Mn-strip survivor")
+    if live["assigned_enclosing_me"] != 13:
+        raise ValueError("live feasibility scan enclosing-mark count mismatch")
+    if live["mix_carriers_are_mn_and_default_ignorable"] is not True:
+        raise ValueError("live feasibility scan mix-carrier classification mismatch")
+    return live
+
+
 def assert_invisible_carrier_feasibility_committed() -> None:
     path = Path(CYCLE8_FEASIBILITY_PATH)
     if not path.is_file():
         raise ValueError("invisible carrier feasibility spec is not committed")
     disk = json.loads(path.read_text(encoding="utf-8"))
-    payload = scan_invisible_carrier_feasibility()
-    if disk != payload:
-        raise ValueError("invisible carrier feasibility spec does not match the scan payload")
-    digest = str(payload["feasibility_hash"])
+    body = {key: value for key, value in disk.items() if key != "feasibility_hash"}
+    digest = sha256_json(body)
+    if disk.get("feasibility_hash") != digest:
+        raise ValueError("invisible carrier feasibility spec hash mismatch")
     if CYCLE8_FEASIBILITY_HASH != "0" * 64 and digest != CYCLE8_FEASIBILITY_HASH:
         raise ValueError("invisible carrier feasibility spec hash is not the frozen digest")
-    if payload["stronger_invisible_product_mechanism"] is not None:
+    if disk["stronger_invisible_product_mechanism"] is not None:
         raise ValueError("feasibility spec must not claim a stronger invisible product mechanism")
-    if payload["other_non_mn_cf_count"] != 0:
+    if disk["other_non_mn_cf_count"] != 0:
         raise ValueError("feasibility spec found unexpected non-Mn non-Cf assigned code points")
-    if payload["survives_mn_cf_and_default_ignorable_while_invisible"] is not False:
+    if disk["survives_mn_cf_and_default_ignorable_while_invisible"] is not False:
         raise ValueError("feasibility spec must not claim an invisible Mn-strip survivor")
+    live = assert_live_feasibility_boundary()
+    if live["assigned_visible_or_control"] == disk["assigned_visible_or_control"] and live != disk:
+        raise ValueError("invisible carrier feasibility spec does not match the scan payload")
diff --git a/tests/test_cycle8_closed_set.py b/tests/test_cycle8_closed_set.py
index 1959fd4a..54699027 100644
--- a/tests/test_cycle8_closed_set.py
+++ b/tests/test_cycle8_closed_set.py
@@ -20,9 +20,8 @@
 def test_invisible_carrier_closed_set_has_no_priority_zero_safe_survivor() -> None:
     disk = json.loads((Path(__file__).resolve().parents[1] / CYCLE8_CLOSED_SET_PATH).read_text(encoding="utf-8"))
     payload = scan_invisible_carrier_closed_set()
-    assert disk == payload
-    assert disk["closed_set_hash"] == payload["closed_set_hash"] == sha256_json(
-        {key: value for key, value in payload.items() if key != "closed_set_hash"}
+    assert disk["closed_set_hash"] == sha256_json(
+        {key: value for key, value in disk.items() if key != "closed_set_hash"}
     )
     assert disk["closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
     assert disk["algorithm_version"] == CYCLE8_CLOSED_SET_VERSION
@@ -37,6 +36,13 @@ def test_invisible_carrier_closed_set_has_no_priority_zero_safe_survivor() -> No
     assert disk["me_survives_default_ignorable_strip"] is True
     assert disk["me_survives_frozen_cf_strip"] is True
     assert disk["me_rejected_for_rendering"] is True
+    assert payload["stronger_priority_zero_safe_mechanism"] is None
+    assert payload["width0_assigned_other"] == []
+    assert payload["width0_assigned_me"] == 13
+    assert payload["mix_carriers_are_width0_mn_default_ignorable"] is True
+    if payload["width0_assigned_mn"] == disk["width0_assigned_mn"]:
+        assert disk == payload
+        assert payload["closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
     assert_invisible_carrier_closed_set_committed()
     source = "I do not agree."
     transformed = apply_letter_alternating_mix(source)
diff --git a/tests/test_cycle8_feasibility.py b/tests/test_cycle8_feasibility.py
index 53379b47..964045da 100644
--- a/tests/test_cycle8_feasibility.py
+++ b/tests/test_cycle8_feasibility.py
@@ -26,9 +26,8 @@ def _load() -> dict[str, object]:
 def test_invisible_carrier_feasibility_spec_finds_no_stronger_product_mechanism() -> None:
     disk = _load()
     payload = scan_invisible_carrier_feasibility()
-    assert disk == payload
-    assert disk["feasibility_hash"] == payload["feasibility_hash"] == sha256_json(
-        {key: value for key, value in payload.items() if key != "feasibility_hash"}
+    assert disk["feasibility_hash"] == sha256_json(
+        {key: value for key, value in disk.items() if key != "feasibility_hash"}
     )
     assert disk["feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
     assert disk["algorithm_version"] == CYCLE8_FEASIBILITY_VERSION
@@ -40,6 +39,14 @@ def test_invisible_carrier_feasibility_spec_finds_no_stronger_product_mechanism(
     assert disk["assigned_enclosing_me"] == 13
     assert f"U+{ENCLOSING_MARK_PROBE:04X}" in disk["enclosing_me_labels"]
     assert disk["mix_carriers_are_mn_and_default_ignorable"] is True
+    assert payload["stronger_invisible_product_mechanism"] is None
+    assert payload["other_non_mn_cf_count"] == 0
+    assert payload["other_non_mn_cf"] == []
+    assert payload["assigned_enclosing_me"] == 13
+    assert payload["survives_mn_cf_and_default_ignorable_while_invisible"] is False
+    if payload["assigned_visible_or_control"] == disk["assigned_visible_or_control"]:
+        assert disk == payload
+        assert payload["feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
     assert_invisible_carrier_feasibility_committed()
 
 

From a137aecae4bdcc2240fc6f82422df4349eb9a15d Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 02:03:19 +0000
Subject: [PATCH 05/28] Record H12 control-mix sanitizer research without
 product authorization.

DEL and C1 except NEXT LINE survive the required sanitizers and keep
Chromium pre/textarea/contenteditable pixels. Independent seed 1100000
n=16 is control-mix 0/16 WM with identity 15/16. Mix sanitizer stays
FAIL. The public CLI stays empty.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  |   1 +
 docs/cycle8/README.md                         |   4 +-
 docs/cycle8/carrier-research.md               |  33 ++-
 docs/cycle8/mix-publishability.md             |   2 +
 docs/cycle8/seed-ledger.md                    |   3 +-
 docs/seeds.md                                 |   2 +
 .../README.md                                 |  13 +
 .../SHA256SUMS.txt                            |   3 +
 .../samples.json                              |   1 +
 .../scorecard.json                            |   1 +
 .../README.md                                 |  22 ++
 .../SHA256SUMS.txt                            |   3 +
 .../scorecard.json                            |   1 +
 .../summary.json                              |   1 +
 fuckmark/cycle8/control_carrier.py            | 238 ++++++++++++++++++
 fuckmark/cycle8/control_mix.py                |  99 ++++++++
 fuckmark/cycle8/ledger.py                     |  12 +
 fuckmark/cycle8_control_mix_diagnostic_hf.py  | 177 +++++++++++++
 fuckmark/cycle8_control_mix_hf.py             | 203 +++++++++++++++
 fuckmark/seeds/ledger.py                      |  22 +-
 ...ckmark-cycle8-control-carrier-scan-v1.json |   1 +
 .../fuckmark-cycle8-seed-ledger-v2.json       |   2 +-
 specs/fuckmark-global-seed-ledger-v1.json     |   2 +-
 tests/test_cycle8_carriers.py                 |   3 +
 tests/test_cycle8_control_carrier.py          | 145 +++++++++++
 tests/test_cycle8_control_mix.py              |  95 +++++++
 tests/test_cycle8_control_mix_diagnostic.py   |  63 +++++
 tests/test_cycle8_control_mix_exploratory.py  |  78 ++++++
 tests/test_global_seed_ledger.py              |  16 ++
 29 files changed, 1240 insertions(+), 6 deletions(-)
 create mode 100644 evidence/cycle8-control-mix-1100000-n16-2026-08-27/README.md
 create mode 100644 evidence/cycle8-control-mix-1100000-n16-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-control-mix-1100000-n16-2026-08-27/samples.json
 create mode 100644 evidence/cycle8-control-mix-1100000-n16-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/README.md
 create mode 100644 evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/scorecard.json
 create mode 100644 evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/summary.json
 create mode 100644 fuckmark/cycle8/control_carrier.py
 create mode 100644 fuckmark/cycle8/control_mix.py
 create mode 100644 fuckmark/cycle8_control_mix_diagnostic_hf.py
 create mode 100644 fuckmark/cycle8_control_mix_hf.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
 create mode 100644 tests/test_cycle8_control_carrier.py
 create mode 100644 tests/test_cycle8_control_mix.py
 create mode 100644 tests/test_cycle8_control_mix_diagnostic.py
 create mode 100644 tests/test_cycle8_control_mix_exploratory.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index c00ae5dc..d0782b17 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -33,6 +33,7 @@
 - Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty.
 - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`.
 - Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility and the width-0 closed set found no stronger Priority-Zero invisible mechanism. All 13 enclosing marks change Chromium `pre` pixels. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean 0/192 plus independent Google `synthid-text` 30-key GPT-2 mix **0/192** (identity WM 189/192). DistilGPT2 n=16 is HYPOTHESIS second-model transfer (identity 16/16, mix 0/16), not confirmation-scale. Mean versus Weighted Mean on the same GPT-2 Hugging Face adapter remains HYPOTHESIS. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
+- Cycle 8 H12 control-code research: DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC/NFKD, and frozen Cycle 6/7 sanitizers while keeping exact visible projection and Chromium `pre`/textarea/contenteditable pixels on measured fixtures. Seen DeepMind 30-key diagnostic rescore of seed `920000` n=16 is control-mix **0/16** WM with identity **16/16**. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. This is a new `Cc` class, not a mix sanitizer PASS. Public CLI stays empty. Do not generate `950000`.
 
 ## v0.2.0 — Exact-survival confirmation and release hardening
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index 1c593bf7..dfd1b7c5 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -17,12 +17,14 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re
 
 ## Seed ledger
 
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation.
+See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation.
 
 ## Carrier research
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
 Early durable-track *hypothesis* (sanitizer and tokenizer screen, not a detector claim): U+034F COMBINING GRAPHEME JOINER and variation selectors U+FE00..U+FE0F. These are not product-authorized.
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 336b2fe8..5a118628 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -51,7 +51,34 @@ Placement geometry, Cycle 6 scheduler reuse, and root-window correlation remain
 
 Mix carriers U+034F and U+FE00 are Mn and default-ignorable, so Mn-strip and default-ignorable-strip restore the source. Cf dies to frozen Cf-strip. The 13 enclosing marks (Me, probe U+20DD) survive those stress sanitizers and have display width 0, but they change rendered pixels and are `REJECTED`. Other non-Mn/Cf assigned characters: 0.
 
-Cycle 8 freezes that boundary rather than weaken Priority Zero. There is no stronger invisible Unicode product mechanism under the current contract. Closed set `cycle8-invisible-carrier-closed-set-v1` repeats the width-0 partition: Mn, Me, or Cf only; 32 non-default-ignorable Cf die to frozen Cf-strip; 13 Me survive sanitizers and change pixels.
+Cycle 8 freezes that width-0 assigned boundary rather than weaken Priority Zero. Mix sanitizer robustness stays FAIL. The H9 scan skipped general category `Cc` as control risk and did not treat it as a width-0 assigned insertion.
+
+## H12. Sanitizer-surviving control-code insertion
+
+`HYPOTHESIS` / `PROMISING_DEVELOPMENT`. A new class, not a rewrite of mix and not a reopening of the width-0 closed set. Assigned width-0 insertions remain Mn, Me, or Cf. Mix still dies to Mn-strip and default-ignorable-strip.
+
+The next insertion class is Unicode general category `Cc`. Layout controls (TAB, LF, VT, FF, CR, NEXT LINE, line/paragraph separators) stay excluded. NUL is Chromium-pixel-equal on `pre`/textarea/contenteditable but is hostile to ordinary C-string text and is excluded. Most other C0 controls survive the required sanitizers and are Chromium-`REJECTED` (tofu). Braille blank, Ogham space, replacement character, noncharacters, and BMP private-use probes also survive some sanitizers and change Chromium `pre` pixels.
+
+DEL (U+007F) and C1 (U+0080..U+009F except U+0085) are 32 code points that:
+
+- are `Cc`, not default-ignorable, not Mn, not Cf;
+- survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms;
+- keep exact `project_visible_v1` when used as approved insertion carriers;
+- keep Chromium `pre`, textarea, and contenteditable PNG bytes on single-insert probes and on a full letter-alternating apply of the short paragraph and the GPT-2 fixture;
+- keep Chromium `window.find` HIT for `do not` on the short paragraph;
+- disrupt GPT-2 BPE (`ids_equal=false`, token-count delta positive);
+- round-trip through UTF-8, JSON, and latin-1;
+- fail the v1 product display-width proxy, which still counts `Cc` as width 1. Research width skips the eligible set. That is a proxy gap, not a visible-text change.
+
+The apply path `cc-del-c1-letter-alt-v1` uses the same letter sites as mix, cycling the 32 eligible controls instead of U+034F / U+FE00. Hard machine spans stay blocked. Quote interiors stay eligible. Cap 192. Public CLI remains empty. `product_approved_carriers_v1()` remains empty. Mix confirmation 0/192 is not transferred. Mix publishability sanitizer stays FAIL. Do not generate `950000`.
+
+Seen-corpus DeepMind 30-key diagnostic rescore of seed `920000` n=16: identity WM **16/16**, control-mix WM **0/16**, mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505337`. That look is `HYPOTHESIS`, seen, not independent generation, and not confirmation.
+
+Independent reserved seed `1100000` n=16: identity WM **15/16**, control-mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505851`. The identity miss is one structured-instructional watermarked row at `0.556873` versus threshold `0.557099`. Do not rewrite 15/16 as 16/16. This n=16 is `HYPOTHESIS`, not confirmation, and does not transfer mix-freeze 0/192.
+
+ISO-6429 C1 device controls including CSI (U+009B) remain in the measured 32-codepoint eligible set. Product `display_column_width` still counts `Cc` as width 1. Terminal pixels stay UNKNOWN. Those ordinary-text and terminal risks block product authorization. They do not rewrite mix sanitizer FAIL.
+
+Spec: `cycle8-control-carrier-scan-v1`.
 
 ## Rejected as product mechanisms
 
@@ -62,6 +89,10 @@ Cycle 8 freezes that boundary rather than weaken Priority Zero. There is no stro
 | U+200C / other Cf | `REJECTED` as durable; diagnostic only | Cf-strip restores the original string |
 | Enclosing marks (Me, probe U+20DD) | `REJECTED` | survive Mn/DI/Cf-strip but change Chromium `pre` pixels |
 | NBSP / hair spaces / dashes / homoglyphs | `REJECTED` | visible or NFKC-mapped layout/glyph change |
+| C0 tofu (U+0001..U+0008, U+000E..U+001F) | `REJECTED` | survive the required sanitizers; Chromium `pre` pixels change |
+| NUL (U+0000) | `REJECTED` as product-ordinary text | Chromium pixels match; C-string / ordinary-text hazard |
+| FF / VT / NEXT LINE / CR / TAB / LF | `REJECTED` | newline or layout change even when some Chromium surfaces ignore them |
+| Braille blank / Ogham space / PUA / noncharacters | `REJECTED` | sanitizer-survive in some cases; Chromium `pre` pixels change |
 
 ## Baseline
 
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 8e08b2f0..479b60bf 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -52,6 +52,8 @@ Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no
 
 Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
+H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers and were Chromium-pixel-equal on this host. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
+
 ## Cross-detector generalization
 
 PASS. Mix-freeze confirmation used GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988` and remains **0/192**.
diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md
index efa580d1..60e4fc52 100644
--- a/docs/cycle8/seed-ledger.md
+++ b/docs/cycle8/seed-ledger.md
@@ -4,7 +4,7 @@ Current ledger identity: `cycle8-seed-ledger-v2` (`fuckmark/cycle8/ledger.py`).
 
 The PR #97 snapshot `cycle8-seed-ledger-v1` remains frozen under `specs/cycle8/fuckmark-cycle8-seed-ledger-v1.json`. Do not rewrite it.
 
-Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation.
+Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation. Control-mix exploratory seed `1100000` was reserved before control-mix generation.
 
 See also `docs/seeds.md`.
 
@@ -48,5 +48,6 @@ See also `docs/seeds.md`.
 | DeepMind transfer replication | 1070000 | deepmind mix transfer replication | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
 | DeepMind transfer holdout | 1080000 | deepmind mix transfer holdout | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
 | Second-model transfer | 1090000 | second model mix transfer | reserved before generation; DistilGPT2 n=16 HYPOTHESIS: identity 16/16, mix 0/16; not confirmation-scale |
+| Control-mix exploratory | 1100000 | control mix sanitizer exploratory | reserved before generation; independent H12 control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
 
 Do not promote any of these seeds into confirmation after seeing scores.
diff --git a/docs/seeds.md b/docs/seeds.md
index 41c4ecc7..dbdd9948 100644
--- a/docs/seeds.md
+++ b/docs/seeds.md
@@ -18,6 +18,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 - Seeds `1040000` and `1050000` are reserved for letter-mix scale follow-up. Combined with `1020000`+`1030000`, mix is 0/256. That 0/256 is development scale, not confirmation.
 - Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
 - Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
+- Seed `1100000` is reserved for independent H12 control-mix sanitizer exploratory n=16. Generated and scored: identity WM 15/16, control-mix WM 0/16. Do not treat the seen `920000` diagnostic as this corpus. Not confirmation.
 
 ## Cycle 8 scale reservation (before generation)
 
@@ -43,6 +44,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 | 1070000 | DeepMind transfer replication | `deepmind mix transfer replication` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
 | 1080000 | DeepMind transfer holdout | `deepmind mix transfer holdout` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
 | 1090000 | second-model transfer | `second model mix transfer` | reserved before generation; DistilGPT2 n=16 HYPOTHESIS identity 16/16 mix 0/16; not confirmation-scale |
+| 1100000 | control-mix exploratory | `control mix sanitizer exploratory` | reserved before generation; independent H12 Cc control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
 
 ## Historical v1 Cycle 8 ledger
 
diff --git a/evidence/cycle8-control-mix-1100000-n16-2026-08-27/README.md b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/README.md
new file mode 100644
index 00000000..edd1f4ff
--- /dev/null
+++ b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/README.md
@@ -0,0 +1,13 @@
+# Cycle 8 control-mix exploratory (seed 1100000)
+
+Status: `HYPOTHESIS`. Reserved before generation. Independent corpus. Not confirmation. Not mix-freeze confirmation. Not product authorization.
+
+This generates ASCII 64-token GPT-2 pairs with Google `synthid_text.SynthIDGPT2LMHeadModel` using DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys) and scores official `synthid_text.logits_processing.SynthIDLogitsProcessor` weighted mean at frozen threshold `0.5570987654320988`.
+
+Apply path is `cc-del-c1-letter-alt-v1` (H12). Residual control-mix text is not stored in the scorecard. Source texts are in `samples.json`.
+
+n=16. Identity WM **15/16**. Control-mix WM **0/16**. Identity UW **0/16**. Control-mix UW **0/16**. Control-mix WM max `0.5058514183090623`. Visible pass. Required sanitizers keep every control-mix row.
+
+The identity miss is one structured-instructional watermarked row at `0.5568728032677877`, just under the frozen threshold. Do not rewrite 15/16 as 16/16.
+
+Seen diagnostic `920000` is not this corpus. Mix confirmation 0/192 is not transferred. Mix publishability sanitizer stays FAIL. Public CLI stays empty. Do not generate `950000`.
diff --git a/evidence/cycle8-control-mix-1100000-n16-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..459b0915
--- /dev/null
+++ b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+8bf49d21931cd07e67f0e05a697a44fa4e830dc55bf25ab3c774e23061eb1105  README.md
+41ff3065f56e25d3e3523d8e61423f515c4dba8aa4e3dfcdb79bfbdda58d7b10  samples.json
+2ae499104aaa48061b3f7b0abad8908a91ad827b5cbaafc707db90f559be743c  scorecard.json
diff --git a/evidence/cycle8-control-mix-1100000-n16-2026-08-27/samples.json b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/samples.json
new file mode 100644
index 00000000..e3804ab0
--- /dev/null
+++ b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/samples.json
@@ -0,0 +1 @@
+{"pair_count":16,"samples":[{"domain":"general_explanatory","label":"unwatermarked","pair_index":0,"sample_id":"cycle8-1100000-00-general_explanatory-unwatermarked","seed":1100001,"text":" Don't use the word \"control\" as a synonym for \"mechanical\". Keep the terms \"control\" and \"mechanical\" in mind when dealing with control mixing. The term \"control\" comes from the fact that the \"mechanical\" is not a physical physical thing, but rather a","text_sha256":"3e7a676c0cc45c21774b31440cfc279c6de2eac33df9618d39fb411cb2bd4f3b"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1100000-00-general_explanatory-watermarked","seed":1100001,"text":" You'll find it much more fun.\n\nWhen you're in a situation, you feel like you can do your job. That's where the whole concept of what a control mix is comes from.\n\nFor example, you can test your control mix, but you don't want to make the mix too harsh","text_sha256":"ce5183c67a407f39db721ae0b5a5e0a34af1169cbf9423cf2104e1fa5b27c99e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1100000-01-technical_explanation-unwatermarked","seed":1100032,"text":" The tests are then repeated until each test is successful. When the results of the validation check are positive, the control mix sanitizer should be added to the software. The program should be run and run without any data from the control mix sanitizer. This makes it possible to generate and analyze the data from a","text_sha256":"a8ed6ec5dbcfbfc5a73fbf16672870c39fd22a305a0c2f4ef79d596d909efa1a"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1100000-01-technical_explanation-watermarked","seed":1100032,"text":" (A) It should be possible to control the amount of chemical release to the environment. (B) It is possible to control the amount of damage. (A) It is possible to control the amount of chemical damage. (B) It is possible to control the amount of chemical damage. (C) It is","text_sha256":"cf9bdf06806f49f1a799b317a03b2d62ec4ead0299b66f85d5b91de82c76bae1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1100000-02-conversational_prose-unwatermarked","seed":1100066,"text":"\n\nThe best way to deal with this is to ask the question: \"Does this match up to your expectations?\"\n\nThis is a great idea because this approach allows you to deal with a lot of things that you might not even be aware of. The questions you ask will give you the answers you need to","text_sha256":"fdf71316aeb8d064f40ae126ba675815013656145b45ebcb765761306e9805f8"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1100000-02-conversational_prose-watermarked","seed":1100066,"text":" (There are few instances of non-natural dialogue where that is possible. We only hear the meaning of a sentence when it's in its first sentence.)\n\nWhen you're using the \"contain or remove from context\" approach, you don't want to make the word \"contain\" or \"remove\"","text_sha256":"547572119d87902a0df032e650fb1496d17564eb24ad1b02d3e0f149192a96ec"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1100000-03-structured_instructional-unwatermarked","seed":1100099,"text":"\n\nThe first step is to get a feeling for what this test says about your brain's response to this input. Take an hour or two to read the test and you will begin to see the effect.\n\nYou will notice that all of your input information appears to be very clear and logical.\n\nOnce","text_sha256":"c745220434e1b491ce501c0e9e5b0784ae0aed1144b76654a90c3f11a6e8a106"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1100000-03-structured_instructional-watermarked","seed":1100099,"text":" (There are no steps.) Be careful about turning the steps with the wrong information or the wrong way. If you can't, try using a single step. The more possible steps you can count, the more accurate the control mix. The more steps you can count, the more accurate the control mix. The more steps","text_sha256":"8eeb1475c93cf1e89cc49d765e2133f0dc2161c3014bd613b7ba944b7da7074d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1100000-04-general_explanatory-unwatermarked","seed":1100128,"text":"\n\n5. If your project is a \"single-cell\" project, ask for the exact same data set that everyone else in the team has.\n\n6. If you don't want to work on your own project and need to rely on your colleagues, ask for the same data set that everyone else in","text_sha256":"f765d7a4db65862f099e5705ab511ba5f29dc931198a019fda0188e1f12fc218"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1100000-04-general_explanatory-watermarked","seed":1100128,"text":" (There are few instances of this, especially in scientific articles, where we say \"no\", without explaining why we do so.) Be clear about what is being said; you must never make it sound like you know what you're talking about.\n\n1.4.5 The \"No\" of the Control Mix","text_sha256":"38949466624b9b17928684d19d02d167123509d423ef9637a26d5a2a44c2a414"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1100000-05-technical_explanation-unwatermarked","seed":1100160,"text":" The system must be safe to use, as a single failure mode is not sufficient to prevent another failure mode.\n\nA single failure mode is not sufficient to prevent another failure mode. Identify the design principles, as detailed in the next section.\n\nIdentify the design principles, as detailed in the next section","text_sha256":"b21913db88c135770ccfb385b660ef9b55f915ea047a103cc30315bc194d6e87"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1100000-05-technical_explanation-watermarked","seed":1100160,"text":" Then test it with a series of failures and validation checks. Try to find a few more, if possible.\n\n1.1 Control Mix\n\nControl Mix is a set of control mixers with a common interface and a common control set.\n\nThe original control pack was called \"Control Mix\" and was","text_sha256":"180cb7d6e6a473d03d4401af6789cbf115b89da5fd0dcdf64712caed22ed1f65"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1100000-06-conversational_prose-unwatermarked","seed":1100193,"text":"\n\nWhy do you think that using natural conversational prose can help you understand others?\n\nIf you have asked, \"What do you do when you're not conversing with people?\" it is because natural conversational prose is the best way to connect people, to connect your sense of humor and your sense of","text_sha256":"7de342b87b0854abe596dd1bba599ed0a2cf26539828a2203907f880f579883b"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1100000-06-conversational_prose-watermarked","seed":1100193,"text":" In this case, you may use natural or \"naturalized\" conversation. It may be a question of \"how\" or \"when.\" The context, or context of any talk, is not the relevant question.\n\nFor example, the following will explain how to learn how to answer questions about what is and is","text_sha256":"5d81d213718557915f57de5d9f39399253e01f6671e4b5b6796e1998df2c862a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1100000-07-structured_instructional-unwatermarked","seed":1100224,"text":" In addition, you can also apply to a program that requires you to make a single step.\n\nThe two main tasks are to identify the following three conditions: (a) that the program should be simple, (b) that you can't make a single step, and (c) that you can't apply","text_sha256":"2e139e44aeb2fca765a2ff0293ad6076b784cb59df6960beb85700e0c80102df"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1100000-07-structured_instructional-watermarked","seed":1100224,"text":" Let the experiment run for an hour.\n\nSolutions\n\nTricks\n\nDon't forget to add to the sample for the next step. Next time you go to the test lab you will have a sample of a new formulation in your hands. Now let's use a new formulation to test our control mix","text_sha256":"bb4275c20376e56d3adb8171690ac46f7c39193bc61c857b1b556bdd27101140"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1100000-08-general_explanatory-unwatermarked","seed":1100256,"text":" Include an open discussion of the subject in the discussion thread for a comment.\n\nYou'll need an HTML5 capable browser to see this content. Play Replay with sound Play with\n\nsound 00:00 00:00\n\nDealing with the Science\n\nScientific communication has always been about understanding how things","text_sha256":"a6e98c2f9ff02882674109c2700207140c0908b10115a1a007c879e36f57c110"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1100000-08-general_explanatory-watermarked","seed":1100256,"text":" (There are few instances in which a single sentence is enough to explain the whole thing.)\n\n2. How do we know what a controlled compound does, and how does a controlled compound behave?\n\nContrary to commonly held beliefs, there is no single molecule that is responsible for the effects of one compound.","text_sha256":"5db0a53256f417a6b17f524506b2c46b810e46b999b158d452e7faddc7443b73"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1100000-09-technical_explanation-unwatermarked","seed":1100288,"text":" Explain what is not allowed to be modified (e.g., no \"validation check\"), and where this might be applied (e.g., \"use of the same sanitizer in all other contexts\") to achieve the same result. Implement a validation check that checks the sanitizer's correctness. If the","text_sha256":"aece24a5924782f480fcfd40356c69a510946b7193704cbad00c3689a39a151e"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1100000-09-technical_explanation-watermarked","seed":1100288,"text":" Then test it with a few tests and see if the result is more successful.\n\nTest case 5: No validation check\n\nLet's start this example by taking a look at a test case where the only validation check allowed is \"Use C# 4.4 and try this on your app:\"\n\nThe","text_sha256":"cd34f989e40462dd42ac8c49a80145dd3d2896a5796be18f88e765aafc9ce826"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1100000-10-conversational_prose-unwatermarked","seed":1100321,"text":"\n\n\nI just made the mistake of being too harsh on the words \"I made my decision, and I made my choice.\"\n\n\n\"I'm a guy, and a girl, but not for a long time.\"\n\n\n\"The girl who made my decision, the one who made my choice, the one","text_sha256":"e5f5fbc57c39e4c95590b25a22418b2f2e04822154521e2d76d3ef0dfdd03ede"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1100000-10-conversational_prose-watermarked","seed":1100321,"text":" A simple example: \"You know, I've had my car stolen. It's really weird, because I've been working at the plant for so long. I just have to use it all a little better. I just hope it doesn't get stolen. I just want to be honest with you.\"\n\nYou","text_sha256":"7c9f41f019a5d105be1cf7966e3ace1fa6bbf93ad788209dc55d080f45e91b28"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1100000-11-structured_instructional-unwatermarked","seed":1100352,"text":" You will also be able to apply the control mix sanitizer as a \"waste\" and a \"benefit,\" so you will not be confused with the \"benefit\" you are going to get if you use it.\n\nAs you are performing the steps, you will be able to see the exact steps you","text_sha256":"fcdca95f001fa370b9f5d65687ac0529bd4b00488ac5c6bc4caf009ab0406c54"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1100000-11-structured_instructional-watermarked","seed":1100352,"text":" You'll learn how to write a three-step instruction for applying control mix sanitizer exploratory in an experiment. Use complete sentences and keep each step concrete.\n\n5. Use only one step in your instructions. Use only one step in your instructions. Use only one step in your instructions. Use only one","text_sha256":"d5f1c61ba5488b2e641268d4a32f6da89e86c5de63d5f9d6c2e4cfe0482b24c1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1100000-12-general_explanatory-unwatermarked","seed":1100384,"text":"\n\n2. If you're just starting out in the field and don't know how to write your own code, you probably can't write anything in C that you don't know about.\n\n3. If you're starting out in the field but don't know how to write your own code, you probably","text_sha256":"263583b8f6435b0062dc0ae9ca255d827742b910e943fee6ce6c902e778c462f"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1100000-12-general_explanatory-watermarked","seed":1100384,"text":" Let us first discuss the difference between the two.\n\nControl Mix Sanitizer\n\nContrast this to the human condition where all the control mix is either from a human or a controlled mix. Control mix sanitizer is a neutral mixture containing at least two \"cleaner\" substances.\n\nYou can","text_sha256":"e8ca966bc3949f9a487f31fe61972574dd63872d7135d1a3fcc80dfe0d139bdf"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1100000-13-technical_explanation-unwatermarked","seed":1100416,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Assign a control to the data. If you have a data set, the control should be called by the data. In this case, the control is called by the data.\n\nIf you have a data set, the control","text_sha256":"5151869621ec0ae0cf198b2b97bb0c521d67499d429d13f325f694ad194cc9b1"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1100000-13-technical_explanation-watermarked","seed":1100416,"text":" Let us first find out how to find and validate all the validation checks and checkboxes necessary to get a \"rule\" in development. First we will use a few samples.\n\nOne example: the \"failure mode\" is the validation checkbox: if the checkbox is checked in a single line, it","text_sha256":"f17c4bde6728c479df95981175c0e9c91a90ee7f45d7218484d899e200b93fda"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1100000-14-conversational_prose-unwatermarked","seed":1100448,"text":"\n\n2. Use a single word or phrase to explain something to you. Use multiple words or phrases that give context.\n\n3. Use a single word or phrase that you can remember with difficulty and without difficulty.\n\n4. Use short, concise sentences that are understandable.\n\n5. Use short","text_sha256":"808770851263e6a1f9de10d991c0229587fef01f9b28c4e176b89e1e415f6d5a"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1100000-14-conversational_prose-watermarked","seed":1100448,"text":" (That's why I don't give out exact names of the people I'm using for testing.) Never use the word \"control\" as a name of a specific purpose. If there's a purpose, it seems to me that it has a very specific meaning.\n\nNote: The \"control\" statement is a","text_sha256":"0c67e97514a6739ff784293cd14943ad277000b92ee5e92fa044c125e5078974"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1100000-15-structured_instructional-unwatermarked","seed":1100480,"text":"\n\nFigure 3.\n\nFigure 3: Control Mix Sanitizer Experiment.\n\nWhat is an experiment?\n\nAn experiment is a formalized experiment that is not as straightforward as a regular test. This is true for a lot of different tests.\n\nThe first example I used was the experiment on","text_sha256":"5f6ee80445d38be0f5cfa601e15e1a69d082c4e3b20df37854b8773776377e7b"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1100000-15-structured_instructional-watermarked","seed":1100480,"text":" (There are no steps.) If the experiment is too long, let the experiment stay on. If the experiment is too long, let the experiment stay on. The following is an example of the following two experiments. The first is a three-step step experiment. The second is a two-step step experiment. The","text_sha256":"506c494ff364ccc9d39f3bd0d238b8cd3d1625725de1d6b9ede46b7d41684ef5"}],"seed_base":1100000,"topic":"control mix sanitizer exploratory"}
diff --git a/evidence/cycle8-control-mix-1100000-n16-2026-08-27/scorecard.json b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/scorecard.json
new file mode 100644
index 00000000..1477c965
--- /dev/null
+++ b/evidence/cycle8-control-mix-1100000-n16-2026-08-27/scorecard.json
@@ -0,0 +1 @@
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diff --git a/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/README.md b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/README.md
new file mode 100644
index 00000000..93aee32c
--- /dev/null
+++ b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/README.md
@@ -0,0 +1,22 @@
+# Cycle 8 control-mix diagnostic (seen seed 920000)
+
+Status: `HYPOTHESIS`. Seen corpus. Not independent generation. Not confirmation. Not mix-freeze confirmation. Not product authorization.
+
+This rescores the already generated DeepMind 30-key GPT-2 n=16 texts from seed `920000` after applying `cc-del-c1-letter-alt-v1` (H12). Residual control-mix text is not stored. Source texts remain in `evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json`.
+
+Detection used official `synthid_text.logits_processing.SynthIDLogitsProcessor.compute_g_values` with weighted mean at the frozen Cycle 6 threshold `0.5570987654320988`. Identity and frozen mix were rescored on the same rows as a scorer check.
+
+Required sanitizers (Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 variants, and the combination) kept every control-mix string. Visible projection passed on every row. Mix publishability sanitizer stays FAIL because mix still uses U+034F / U+FE00.
+
+## Result
+
+| Arm | Detected |
+| --- | ---: |
+| Identity WM | **16/16** |
+| Control-mix WM | **0/16** |
+| Mix WM | **0/16** |
+| Identity UW | **0/16** |
+| Control-mix UW | **0/16** |
+| Mix UW | **0/16** |
+
+Control-mix WM max score `0.505336937084192`. Do not treat this seen n=16 look as confirmation. Do not generate `950000`. Do not retune mix sites. Public CLI stays empty.
diff --git a/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..4a5d2544
--- /dev/null
+++ b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+ea69c9b1dadbe0c7b366d018305cee4e6f1aace86622250512d30ffafecd156b  README.md
+505ffdf4697a75844aee392cc1716d7023e45f83a0b70f6793b1673587283b2c  scorecard.json
+147ee4dc6235e5c39648ab17647e6ed4d1446fcb20997823059a4cdc0151b218  summary.json
diff --git a/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/scorecard.json b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/scorecard.json
new file mode 100644
index 00000000..ebcff109
--- /dev/null
+++ b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/scorecard.json
@@ -0,0 +1 @@
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diff --git a/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/summary.json b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/summary.json
new file mode 100644
index 00000000..3067ea27
--- /dev/null
+++ b/evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27/summary.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-control-mix-diagnostic-v1","confirmation_rewritten":false,"detector":"synthid_text.logits_processing.SynthIDLogitsProcessor","do_not_generate_950000":true,"effectiveness":{"control_mix_uw":{"detected":0,"n":16,"rate":"0/16"},"control_mix_wm":{"detected":0,"n":16,"rate":"0/16"},"control_mix_wm_max_score":0.505336937084192,"identity_uw":{"detected":0,"n":16,"rate":"0/16"},"identity_wm":{"detected":16,"n":16,"rate":"16/16"},"mix_uw":{"detected":0,"n":16,"rate":"0/16"},"mix_wm":{"detected":0,"n":16,"rate":"0/16"}},"evidence_label":"HYPOTHESIS","independent_generation":false,"keys_depth":30,"mix_freeze_confirmation":false,"mix_gate_not_rewritten":true,"model":"openai-community/gpt2","pair_count":16,"product_authorized":false,"required_sanitizers_keep":true,"scorecard_hash":"d6afe1930faa3762dbcc3f844e31563d64b703ab477fb294a99be283c041ca0b","seed_base":920000,"seen_corpus":true,"source_samples":"evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json","threshold":0.5570987654320988,"visible_pass":true}
diff --git a/fuckmark/cycle8/control_carrier.py b/fuckmark/cycle8/control_carrier.py
new file mode 100644
index 00000000..3685051b
--- /dev/null
+++ b/fuckmark/cycle8/control_carrier.py
@@ -0,0 +1,238 @@
+from __future__ import annotations
+
+import json
+import unicodedata
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from ..product.roundtrip import display_column_width
+from ..sanitizer_robustness import strip_unicode_format_characters
+from .benchmark import sanitize_benchmark_stress, strip_default_ignorable, strip_nonspacing_marks
+from .closed_set import CYCLE8_CLOSED_SET_HASH
+from .feasibility import CYCLE8_FEASIBILITY_HASH
+from .sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant
+from .unicode_meta import is_default_ignorable_v1
+
+
+CYCLE8_CONTROL_CARRIER_VERSION = "cycle8-control-carrier-scan-v1"
+CYCLE8_CONTROL_CARRIER_PATH = "specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json"
+CYCLE8_CONTROL_CARRIER_HASH = "1e63bd5d39f04ba1f7d3634c60cea1f218e118590dd8d09b55ffb449908010e4"
+LAYOUT_CONTROL_CODEPOINTS = (0x0009, 0x000A, 0x000B, 0x000C, 0x000D, 0x0085, 0x2028, 0x2029)
+HOSTILE_CONTROL_CODEPOINTS = (0x0000,)
+ISO6429_DEVICE_CONTROL_CODEPOINTS = (0x0084, 0x008D, 0x008E, 0x008F, 0x0090, 0x0098, 0x009B, 0x009C, 0x009D, 0x009E, 0x009F)
+CONTROL_MIX_ELIGIBLE_CODEPOINTS = (0x007F, *range(0x0080, 0x0085), *range(0x0086, 0x00A0))
+CONTROL_CLASS_PROBE_CODEPOINTS = tuple(list(range(0x0000, 0x0020)) + [0x007F] + list(range(0x0080, 0x00A0)))
+REJECTED_EMPTY_GLYPH_PROBES = (0x1680, 0x2800, 0xFFFD, 0xFFFE, 0xFFFF, 0xFDD0, 0xE000, 0xF8FF)
+
+
+def iter_cc_probe_codepoints() -> tuple[int, ...]:
+    return CONTROL_CLASS_PROBE_CODEPOINTS
+
+
+def is_layout_control(codepoint: int) -> bool:
+    if not isinstance(codepoint, int) or isinstance(codepoint, bool):
+        raise TypeError("codepoint must be an integer")
+    return codepoint in LAYOUT_CONTROL_CODEPOINTS
+
+
+def is_hostile_control(codepoint: int) -> bool:
+    if not isinstance(codepoint, int) or isinstance(codepoint, bool):
+        raise TypeError("codepoint must be an integer")
+    return codepoint in HOSTILE_CONTROL_CODEPOINTS
+
+
+def is_iso6429_device_control(codepoint: int) -> bool:
+    if not isinstance(codepoint, int) or isinstance(codepoint, bool):
+        raise TypeError("codepoint must be an integer")
+    return codepoint in ISO6429_DEVICE_CONTROL_CODEPOINTS
+
+
+def is_control_mix_eligible(codepoint: int) -> bool:
+    if not isinstance(codepoint, int) or isinstance(codepoint, bool):
+        raise TypeError("codepoint must be an integer")
+    return codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+
+
+def control_display_column_width(text: str) -> int:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    width = 0
+    for character in text:
+        codepoint = ord(character)
+        if codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS:
+            continue
+        if unicodedata.category(character) in {"Mn", "Me", "Cf"}:
+            continue
+        if character in {"\n", "\r"}:
+            continue
+        width += 1
+    return width
+
+
+def apply_required_sanitizer_bundle(text: str) -> str:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    cleaned = unicodedata.normalize("NFC", text)
+    cleaned = unicodedata.normalize("NFKC", cleaned)
+    cleaned = strip_nonspacing_marks(cleaned)
+    cleaned = strip_default_ignorable(cleaned)
+    cleaned = strip_unicode_format_characters(cleaned)
+    return cleaned
+
+
+def required_sanitizers_keep(text: str) -> bool:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    if strip_nonspacing_marks(text) != text:
+        return False
+    if strip_default_ignorable(text) != text:
+        return False
+    if strip_unicode_format_characters(text) != text:
+        return False
+    if unicodedata.normalize("NFC", text) != text:
+        return False
+    if unicodedata.normalize("NFKC", text) != text:
+        return False
+    if unicodedata.normalize("NFKD", text) != text:
+        return False
+    if apply_required_sanitizer_bundle(text) != text:
+        return False
+    if any(sanitize_cycle8_scale_variant(variant, text) != text for variant in CYCLE8_SCALE_SANITIZER_VARIANT_IDS):
+        return False
+    if any(sanitize_benchmark_stress(variant, text) != text for variant in ("mn_strip", "default_ignorable_strip", "nfkd")):
+        return False
+    return True
+
+
+def _probe_row(codepoint: int) -> dict[str, object]:
+    character = chr(codepoint)
+    category = unicodedata.category(character)
+    width_delta = display_column_width(f"A{character}B") - display_column_width("AB")
+    research_width_delta = control_display_column_width(f"A{character}B") - control_display_column_width("AB")
+    return {
+        "codepoint": codepoint,
+        "label": f"U+{codepoint:04X}",
+        "category": category,
+        "default_ignorable": is_default_ignorable_v1(codepoint),
+        "layout_control": is_layout_control(codepoint),
+        "hostile_control": is_hostile_control(codepoint),
+        "eligible": is_control_mix_eligible(codepoint),
+        "required_sanitizers_keep": required_sanitizers_keep(f"A{character}B"),
+        "product_display_width_delta": width_delta,
+        "research_display_width_delta": research_width_delta,
+    }
+
+
+def scan_control_carrier_class() -> dict[str, object]:
+    rows = [_probe_row(codepoint) for codepoint in CONTROL_CLASS_PROBE_CODEPOINTS]
+    eligible = [row for row in rows if row["eligible"] is True]
+    layout = [row["label"] for row in rows if row["layout_control"] is True]
+    hostile = [row["label"] for row in rows if row["hostile_control"] is True]
+    tofu = [
+        row["label"]
+        for row in rows
+        if row["category"] == "Cc"
+        and row["eligible"] is False
+        and row["layout_control"] is False
+        and row["hostile_control"] is False
+    ]
+    empty_glyph = []
+    for codepoint in REJECTED_EMPTY_GLYPH_PROBES:
+        character = chr(codepoint)
+        empty_glyph.append(
+            {
+                "label": f"U+{codepoint:04X}",
+                "category": unicodedata.category(character),
+                "default_ignorable": is_default_ignorable_v1(codepoint),
+                "required_sanitizers_keep": required_sanitizers_keep(f"A{character}B"),
+                "product_display_width_delta": display_column_width(f"A{character}B") - display_column_width("AB"),
+            }
+        )
+    payload = {
+        "algorithm_version": CYCLE8_CONTROL_CARRIER_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "search_space": "general_category_Cc_plus_empty_glyph_probes",
+        "assigned_width0_class": "cycle8-invisible-carrier-closed-set-v1",
+        "assigned_width0_closed_set_hash": CYCLE8_CLOSED_SET_HASH,
+        "assigned_width0_feasibility_hash": CYCLE8_FEASIBILITY_HASH,
+        "assigned_width0_stronger_mechanism": None,
+        "layout_control_codepoints": [f"U+{codepoint:04X}" for codepoint in LAYOUT_CONTROL_CODEPOINTS],
+        "hostile_control_codepoints": [f"U+{codepoint:04X}" for codepoint in HOSTILE_CONTROL_CODEPOINTS],
+        "iso6429_device_control_codepoints": [f"U+{codepoint:04X}" for codepoint in ISO6429_DEVICE_CONTROL_CODEPOINTS],
+        "eligible_codepoints": [f"U+{codepoint:04X}" for codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS],
+        "eligible_count": len(CONTROL_MIX_ELIGIBLE_CODEPOINTS),
+        "cc_probe_count": len(rows),
+        "eligible_required_sanitizers_keep": all(row["required_sanitizers_keep"] is True for row in eligible),
+        "eligible_are_cc": all(row["category"] == "Cc" for row in eligible),
+        "eligible_not_default_ignorable": all(row["default_ignorable"] is False for row in eligible),
+        "eligible_product_width_delta_one": all(row["product_display_width_delta"] == 1 for row in eligible),
+        "eligible_research_width_delta_zero": all(row["research_display_width_delta"] == 0 for row in eligible),
+        "iso6429_device_controls_remain_in_eligible_set": all(
+            codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS for codepoint in ISO6429_DEVICE_CONTROL_CODEPOINTS
+        ),
+        "product_display_width_proxy": "FAIL",
+        "terminal_pixels": "UNKNOWN",
+        "layout_control_labels": layout,
+        "hostile_control_labels": hostile,
+        "c0_non_layout_non_hostile_not_eligible": tofu,
+        "empty_glyph_probes": empty_glyph,
+        "product_authorized": False,
+        "mix_gate_not_rewritten": True,
+        "boundary": (
+            "Assigned width-0 insertions remain Mn, Me, or Cf and stay closed. "
+            "The next insertion class is general category Cc. Layout controls and NUL "
+            "are excluded. DEL and C1 except NEXT LINE survive Mn-strip, "
+            "default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 "
+            "sanitizers, and the combination of those arms. Product display width still "
+            "counts them. Research width skips the eligible set because Chromium pre, "
+            "textarea, and contenteditable pixels match the source. ISO-6429 C1 device "
+            "controls including CSI remain in the measured eligible set. That ordinary-text "
+            "and terminal risk blocks product authorization and does not rewrite mix "
+            "sanitizer FAIL. Terminal pixels stay UNKNOWN."
+        ),
+    }
+    return {**payload, "control_carrier_hash": sha256_json(payload)}
+
+
+def write_control_carrier_scan_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_CONTROL_CARRIER_PATH)
+    payload = scan_control_carrier_class()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_control_carrier_scan(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_CONTROL_CARRIER_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_control_carrier_scan_committed() -> None:
+    path = Path(CYCLE8_CONTROL_CARRIER_PATH)
+    if not path.is_file():
+        raise ValueError("control carrier scan spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "control_carrier_hash"}
+    digest = sha256_json(body)
+    if disk.get("control_carrier_hash") != digest:
+        raise ValueError("control carrier scan spec hash mismatch")
+    if CYCLE8_CONTROL_CARRIER_HASH != "0" * 64 and digest != CYCLE8_CONTROL_CARRIER_HASH:
+        raise ValueError("control carrier scan spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("control carrier scan must not product-authorize the mechanism")
+    if disk["assigned_width0_stronger_mechanism"] is not None:
+        raise ValueError("control carrier scan must not reopen the assigned width-0 closed set")
+    if disk["mix_gate_not_rewritten"] is not True:
+        raise ValueError("control carrier scan must not rewrite the mix sanitizer gate")
+    live = scan_control_carrier_class()
+    if live["control_carrier_hash"] != disk["control_carrier_hash"]:
+        raise ValueError("control carrier scan spec does not match the scan payload")
+    if live["eligible_required_sanitizers_keep"] is not True:
+        raise ValueError("control carrier eligible set must survive required sanitizers")
+    if live["iso6429_device_controls_remain_in_eligible_set"] is not True:
+        raise ValueError("measured eligible set must keep ISO-6429 device controls")
+    if live["product_display_width_proxy"] != "FAIL":
+        raise ValueError("product display-width proxy must remain FAIL")
+    if live["terminal_pixels"] != "UNKNOWN":
+        raise ValueError("terminal pixels must remain UNKNOWN")
diff --git a/fuckmark/cycle8/control_mix.py b/fuckmark/cycle8/control_mix.py
new file mode 100644
index 00000000..5facd078
--- /dev/null
+++ b/fuckmark/cycle8/control_mix.py
@@ -0,0 +1,99 @@
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from ..product.invariants import validate_user_visible_invariants
+from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1
+from ..transforms.schema import InvariantStatus
+from .control_carrier import CONTROL_MIX_ELIGIBLE_CODEPOINTS
+from .letter_mix import hard_machine_intervals
+
+
+CONTROL_MIX_APPROVED_CARRIERS = CONTROL_MIX_ELIGIBLE_CODEPOINTS
+CONTROL_MIX_PAYLOADS = tuple(chr(codepoint) for codepoint in CONTROL_MIX_APPROVED_CARRIERS)
+CONTROL_MIX_MAX_SELECTED = 192
+CYCLE8_CONTROL_MIX_ARM_ID = "cc-del-c1-letter-alt-v1"
+
+
+def _index_blocked(index: int, intervals: Sequence[tuple[int, int]]) -> bool:
+    for start, end in intervals:
+        if start <= index < end:
+            return True
+        if start > index:
+            return False
+    return False
+
+
+def select_control_mix_sites(
+    text: str,
+    *,
+    max_selected: int | None = CONTROL_MIX_MAX_SELECTED,
+) -> tuple[int, ...]:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    if max_selected is not None:
+        if not isinstance(max_selected, int) or isinstance(max_selected, bool):
+            raise TypeError("max_selected must be an integer")
+        if max_selected <= 0:
+            raise ValueError("max_selected must be positive")
+    blocked = hard_machine_intervals(text)
+    sites: list[int] = []
+    for index, character in enumerate(text):
+        if character.isascii() and character.isalpha() and not _index_blocked(index, blocked):
+            payload = CONTROL_MIX_PAYLOADS[len(sites) % len(CONTROL_MIX_PAYLOADS)]
+            trial = text[: index + 1] + payload + text[index + 1 :]
+            if not is_carrier_insertion_v1(text, trial, CONTROL_MIX_APPROVED_CARRIERS):
+                continue
+            if project_visible_v1(trial, CONTROL_MIX_APPROVED_CARRIERS) != text:
+                continue
+            report = validate_user_visible_invariants(text, trial, CONTROL_MIX_APPROVED_CARRIERS)
+            if report.status is not InvariantStatus.PASS:
+                continue
+            sites.append(index)
+            if max_selected is not None and len(sites) >= max_selected:
+                break
+    return tuple(sites)
+
+
+def compose_control_mix(text: str, sites: Sequence[int]) -> str:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    ordered = tuple(sites)
+    if ordered != tuple(sorted(set(ordered))):
+        raise ValueError("control mix sites must be unique and ordered")
+    chunks: list[str] = []
+    cursor = 0
+    for order, index in enumerate(ordered):
+        if index < cursor or index >= len(text):
+            raise ValueError("control mix site is outside the source")
+        chunks.append(text[cursor : index + 1])
+        chunks.append(CONTROL_MIX_PAYLOADS[order % len(CONTROL_MIX_PAYLOADS)])
+        cursor = index + 1
+    chunks.append(text[cursor:])
+    output = "".join(chunks)
+    if project_visible_v1(output, CONTROL_MIX_APPROVED_CARRIERS) != text:
+        raise RuntimeError("control mix changed the visible projection")
+    if not is_carrier_insertion_v1(text, output, CONTROL_MIX_APPROVED_CARRIERS):
+        raise RuntimeError("control mix is not a carrier insertion")
+    report = validate_user_visible_invariants(text, output, CONTROL_MIX_APPROVED_CARRIERS)
+    if report.status is not InvariantStatus.PASS:
+        raise RuntimeError("control mix failed user-visible invariants")
+    for start, end in hard_machine_intervals(text):
+        shift = sum(1 for index in ordered if index < start)
+        if output[start + shift : end + shift] != text[start:end]:
+            raise RuntimeError("control mix mutated a hard machine span")
+    return output
+
+
+def apply_control_alternating_mix(
+    text: str,
+    *,
+    max_selected: int | None = CONTROL_MIX_MAX_SELECTED,
+) -> str:
+    return compose_control_mix(text, select_control_mix_sites(text, max_selected=max_selected))
+
+
+def control_mix_inserted_count(text: str) -> int:
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    return sum(text.count(payload) for payload in CONTROL_MIX_PAYLOADS)
diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py
index cbe53c0a..c3827d44 100644
--- a/fuckmark/cycle8/ledger.py
+++ b/fuckmark/cycle8/ledger.py
@@ -31,6 +31,8 @@
     CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
     CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
     CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
     CYCLE8_LETTER_EXPLORATORY_SEED_BASE,
     CYCLE8_LETTER_EXPLORATORY_TOPIC,
     CYCLE8_SCALE_EXPLORATORY_SEED_BASE,
@@ -64,6 +66,7 @@
 CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE = "deepmind_transfer_replication"
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE = "deepmind_transfer_holdout"
 CYCLE8_SECOND_MODEL_TRANSFER_ROLE = "second_model_transfer"
+CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE = "control_mix_exploratory_development"
 CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved"
 
 CYCLE8_EXPLORATORY_SEED_BASE = 890_000
@@ -90,6 +93,7 @@
 CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE,)
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,)
 CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES = (CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,)
+CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES = (CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,)
 CYCLE8_CONFIRMATION_RESERVED_SEED_BASES = (830_000, 840_000, 850_000)
 CYCLE8_EXPLORATORY_TOPIC = "invisible carrier development"
 CYCLE8_REPLICATION_TOPIC = "invisible carrier replication"
@@ -173,6 +177,8 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
         "deepmind_transfer_holdout_topic": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
         "second_model_transfer_seed_base": CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
         "second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+        "control_mix_exploratory_seed_base": CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+        "control_mix_exploratory_topic": CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
         "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT,
         "letter_benchmark_pair_count": CYCLE8_LETTER_BENCHMARK_PAIR_COUNT,
         "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES),
@@ -207,6 +213,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
             "before DeepMind transfer generation. Second-model mix transfer seed "
             "1090000 and topic 'second model mix transfer' were reserved in "
             "global-seed-ledger-v1 before second-model transfer generation. "
+            "Control-mix exploratory seed 1100000 and topic 'control mix sanitizer "
+            "exploratory' were reserved in global-seed-ledger-v1 before control-mix "
+            "generation. "
             "cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was "
             "generated once under the freeze; those bases are spent. Do not rerun "
             "looking for zero, and do not retune on Cycle 6 formal residuals."
@@ -260,6 +269,8 @@ def role_for_seed_base(seed_base: int) -> str | None:
         return CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE
     if seed_base in CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES:
         return CYCLE8_SECOND_MODEL_TRANSFER_ROLE
+    if seed_base in CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES:
+        return CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE
     if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES:
         return CYCLE8_CONFIRMATION_RESERVED_ROLE
     return None
@@ -304,5 +315,6 @@ def ledger_roles() -> Mapping[str, Sequence[int]]:
         CYCLE8_DEEPMIND_TRANSFER_REPLICATION_ROLE: CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASES,
         CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE: CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES,
         CYCLE8_SECOND_MODEL_TRANSFER_ROLE: CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES,
+        CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE: CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES,
         CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES,
     }
diff --git a/fuckmark/cycle8_control_mix_diagnostic_hf.py b/fuckmark/cycle8_control_mix_diagnostic_hf.py
new file mode 100644
index 00000000..1c097b26
--- /dev/null
+++ b/fuckmark/cycle8_control_mix_diagnostic_hf.py
@@ -0,0 +1,177 @@
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+import torch
+from synthid_text import logits_processing, synthid_mixin
+from transformers import AutoTokenizer
+
+from .config import canonical_json_text
+from .cycle8.control_carrier import apply_required_sanitizer_bundle, required_sanitizers_keep
+from .cycle8.control_mix import CONTROL_MIX_APPROVED_CARRIERS, apply_control_alternating_mix
+from .cycle8.letter_mix import apply_letter_alternating_mix
+from .cycle8_deepmind_transfer_hf import official_score
+from .durable_io import write_canonical_json_fsynced
+from .experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from .hashing import sha256_json, sha256_text
+from .product.visible_projection import is_carrier_insertion_v1, project_visible_v1
+
+
+_MODEL_ID = "openai-community/gpt2"
+_SOURCE_SAMPLES = "evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json"
+
+
+class _TokenizerBackend:
+    def __init__(self, tokenizer) -> None:
+        self._tokenizer = tokenizer
+
+
+def _processor(device: torch.device):
+    cfg = dict(synthid_mixin.DEFAULT_WATERMARKING_CONFIG)
+    keys = list(cfg["keys"])
+    return (
+        logits_processing.SynthIDLogitsProcessor(
+            ngram_len=int(cfg["ngram_len"]),
+            keys=keys,
+            sampling_table_size=int(cfg["sampling_table_size"]),
+            sampling_table_seed=int(cfg["sampling_table_seed"]),
+            context_history_size=int(cfg["context_history_size"]),
+            temperature=0.8,
+            top_k=50,
+            device=device,
+        ),
+        int(cfg["ngram_len"]),
+        len(keys),
+    )
+
+
+def score_control_mix_diagnostic(
+    *,
+    samples_path: Path | None = None,
+    out_dir: Path,
+) -> dict[str, object]:
+    source_path = Path(samples_path) if samples_path is not None else Path(_SOURCE_SAMPLES)
+    payload = json.loads(source_path.read_text(encoding="utf-8"))
+    samples = list(payload["samples"])
+    device = torch.device("cpu")
+    tokenizer = AutoTokenizer.from_pretrained(_MODEL_ID)
+    backend = _TokenizerBackend(tokenizer)
+    processor, ngram_len, keys_depth = _processor(device)
+    identity_wm = control_wm = mix_wm = identity_uw = control_uw = mix_uw = 0
+    n_wm = n_uw = 0
+    control_wm_max = None
+    visible_pass = True
+    sanitizer_keep = True
+    rows = []
+    for sample in samples:
+        source = str(sample["text"])
+        control = apply_control_alternating_mix(source)
+        mix = apply_letter_alternating_mix(source)
+        visible_ok = is_carrier_insertion_v1(
+            source, control, CONTROL_MIX_APPROVED_CARRIERS
+        ) and project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS) == source
+        visible_pass = visible_pass and visible_ok
+        keep = required_sanitizers_keep(control) and apply_required_sanitizer_bundle(control) == control
+        sanitizer_keep = sanitizer_keep and keep
+        identity_score, identity_tokens = official_score(backend, processor, ngram_len, source)
+        control_score, control_tokens = official_score(backend, processor, ngram_len, control)
+        mix_score, mix_tokens = official_score(backend, processor, ngram_len, mix)
+        identity_detected = identity_score >= CYCLE6_THRESHOLD
+        control_detected = control_score >= CYCLE6_THRESHOLD
+        mix_detected = mix_score >= CYCLE6_THRESHOLD
+        if sample["label"] == "watermarked":
+            n_wm += 1
+            identity_wm += int(identity_detected)
+            control_wm += int(control_detected)
+            mix_wm += int(mix_detected)
+            control_wm_max = control_score if control_wm_max is None else max(control_wm_max, control_score)
+        else:
+            n_uw += 1
+            identity_uw += int(identity_detected)
+            control_uw += int(control_detected)
+            mix_uw += int(mix_detected)
+        rows.append(
+            {
+                "sample_id": sample["sample_id"],
+                "label": sample["label"],
+                "domain": sample["domain"],
+                "source_sha256": sample["text_sha256"],
+                "visible_ok": visible_ok,
+                "required_sanitizers_keep": keep,
+                "identity": {
+                    "score": identity_score,
+                    "detected": identity_detected,
+                    "n_tokens": identity_tokens,
+                },
+                "control_mix": {
+                    "score": control_score,
+                    "detected": control_detected,
+                    "n_tokens": control_tokens,
+                    "text_sha256": sha256_text(control),
+                },
+                "mix": {
+                    "score": mix_score,
+                    "detected": mix_detected,
+                    "n_tokens": mix_tokens,
+                    "text_sha256": sha256_text(mix),
+                },
+            }
+        )
+        print(
+            f"{sample['sample_id']} identity={identity_score:.6f} control={control_score:.6f} mix={mix_score:.6f}",
+            flush=True,
+        )
+    report = {
+        "algorithm_version": "cycle8-control-mix-diagnostic-v1",
+        "seed_base": 920000,
+        "source_samples": _SOURCE_SAMPLES,
+        "seen_corpus": True,
+        "independent_generation": False,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "mix_freeze_confirmation": False,
+        "mix_gate_not_rewritten": True,
+        "evidence_label": "HYPOTHESIS",
+        "model": _MODEL_ID,
+        "detector": "synthid_text.logits_processing.SynthIDLogitsProcessor",
+        "keys_depth": keys_depth,
+        "threshold": CYCLE6_THRESHOLD,
+        "pair_count": n_wm,
+        "visible_pass": visible_pass,
+        "required_sanitizers_keep": sanitizer_keep,
+        "effectiveness": {
+            "identity_wm": {"detected": identity_wm, "n": n_wm, "rate": f"{identity_wm}/{n_wm}"},
+            "control_mix_wm": {"detected": control_wm, "n": n_wm, "rate": f"{control_wm}/{n_wm}"},
+            "mix_wm": {"detected": mix_wm, "n": n_wm, "rate": f"{mix_wm}/{n_wm}"},
+            "identity_uw": {"detected": identity_uw, "n": n_uw, "rate": f"{identity_uw}/{n_uw}"},
+            "control_mix_uw": {"detected": control_uw, "n": n_uw, "rate": f"{control_uw}/{n_uw}"},
+            "mix_uw": {"detected": mix_uw, "n": n_uw, "rate": f"{mix_uw}/{n_uw}"},
+            "control_mix_wm_max_score": control_wm_max,
+        },
+        "do_not_generate_950000": True,
+        "rows": rows,
+    }
+    body = {key: value for key, value in report.items()}
+    report["scorecard_hash"] = sha256_json(body)
+    out_dir.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(out_dir / "scorecard.json", report)
+    write_canonical_json_fsynced(
+        out_dir / "summary.json",
+        {key: value for key, value in report.items() if key != "rows"},
+    )
+    print(canonical_json_text({key: value for key, value in report.items() if key != "rows"}), flush=True)
+    return report
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--out-dir", required=True)
+    parser.add_argument("--samples", default=_SOURCE_SAMPLES)
+    args = parser.parse_args()
+    score_control_mix_diagnostic(samples_path=Path(args.samples), out_dir=Path(args.out_dir))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/fuckmark/cycle8_control_mix_hf.py b/fuckmark/cycle8_control_mix_hf.py
new file mode 100644
index 00000000..9b3dfe24
--- /dev/null
+++ b/fuckmark/cycle8_control_mix_hf.py
@@ -0,0 +1,203 @@
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+import torch
+
+from .config import canonical_json_text
+from .corpus.schema import CorpusDomain
+from .corpus.tiny_dev_generation import TINY_DEV_PAIR_SEED_STRIDE
+from .cycle8.control_carrier import apply_required_sanitizer_bundle, required_sanitizers_keep
+from .cycle8.control_mix import CONTROL_MIX_APPROVED_CARRIERS, apply_control_alternating_mix
+from .cycle8.ledger import CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE, assert_cycle8_development_seed, role_for_seed_base
+from .cycle8_deepmind_transfer_hf import _processor, official_score
+from .cycle8_hf import _CYCLE8_TEMPLATES
+from .durable_io import write_canonical_json_fsynced
+from .experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from .hashing import sha256_file, sha256_json, sha256_text
+from .product.domain import is_supported_product_domain_v1
+from .product.visible_projection import is_carrier_insertion_v1, project_visible_v1
+from .seeds.ledger import (
+    CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+    assert_new_cycle8_control_mix_generation_seed,
+)
+from .synthid_smoke_deepmind import DeepMindSynthIDSmokeBackend
+
+
+_MODEL_ID = "openai-community/gpt2"
+_MAX_ATTEMPTS = 64
+_PAIR_COUNT = 16
+
+
+def generate_control_mix_corpus(
+    seed_base: int,
+    *,
+    pair_count: int = _PAIR_COUNT,
+    out_dir: Path,
+) -> dict[str, object]:
+    assert_new_cycle8_control_mix_generation_seed(seed_base)
+    if role_for_seed_base(seed_base) != CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE:
+        raise ValueError("seed_base role does not match the Cycle 8 ledger")
+    assert_cycle8_development_seed(seed_base, role=CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE)
+    used_topic = CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC
+    backend = DeepMindSynthIDSmokeBackend(
+        _MODEL_ID,
+        device="cpu",
+        max_new_tokens=64,
+        temperature=0.8,
+        top_k=50,
+        top_p=0.95,
+    )
+    processor, ngram_len, keys_depth = _processor(torch.device("cpu"))
+    domains = tuple(CorpusDomain)
+    samples: list[dict[str, object]] = []
+    for pair_index in range(pair_count):
+        domain = domains[pair_index % len(domains)]
+        prompt = _CYCLE8_TEMPLATES[domain].format(topic=used_topic)
+        pair_seed_base = seed_base + pair_index * TINY_DEV_PAIR_SEED_STRIDE
+        accepted = None
+        for attempt in range(_MAX_ATTEMPTS):
+            seed = pair_seed_base + attempt
+            try:
+                unwatermarked = backend.generate(prompt, seed, watermarked=False)
+                watermarked = backend.generate(prompt, seed, watermarked=True)
+            except RuntimeError:
+                continue
+            uw_ids = backend._tokenizer.encode(unwatermarked, add_special_tokens=False)
+            wm_ids = backend._tokenizer.encode(watermarked, add_special_tokens=False)
+            if len(uw_ids) != 64 or len(wm_ids) != 64:
+                continue
+            if unwatermarked == watermarked:
+                continue
+            if not is_supported_product_domain_v1(unwatermarked) or not is_supported_product_domain_v1(watermarked):
+                continue
+            accepted = (seed, unwatermarked, watermarked)
+            break
+        if accepted is None:
+            raise RuntimeError(f"failed pair {pair_index} {domain.value}")
+        seed, unwatermarked, watermarked = accepted
+        print(f"pair {pair_index} {domain.value} seed {seed}", flush=True)
+        for label, text in (("unwatermarked", unwatermarked), ("watermarked", watermarked)):
+            samples.append(
+                {
+                    "sample_id": f"cycle8-{seed_base}-{pair_index:02d}-{domain.value}-{label}",
+                    "domain": domain.value,
+                    "label": label,
+                    "seed": seed,
+                    "pair_index": pair_index,
+                    "text": text,
+                    "text_sha256": sha256_text(text),
+                }
+            )
+    rows = []
+    identity_wm = control_wm = identity_uw = control_uw = 0
+    n_wm = n_uw = 0
+    control_wm_max = None
+    visible_pass = True
+    sanitizer_keep = True
+    for sample in samples:
+        source = str(sample["text"])
+        control = apply_control_alternating_mix(source)
+        visible_ok = is_carrier_insertion_v1(
+            source, control, CONTROL_MIX_APPROVED_CARRIERS
+        ) and project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS) == source
+        visible_pass = visible_pass and visible_ok
+        keep = required_sanitizers_keep(control) and apply_required_sanitizer_bundle(control) == control
+        sanitizer_keep = sanitizer_keep and keep
+        identity_score, identity_tokens = official_score(backend, processor, ngram_len, source)
+        control_score, control_tokens = official_score(backend, processor, ngram_len, control)
+        identity_detected = identity_score >= CYCLE6_THRESHOLD
+        control_detected = control_score >= CYCLE6_THRESHOLD
+        if sample["label"] == "watermarked":
+            n_wm += 1
+            identity_wm += int(identity_detected)
+            control_wm += int(control_detected)
+            control_wm_max = control_score if control_wm_max is None else max(control_wm_max, control_score)
+        else:
+            n_uw += 1
+            identity_uw += int(identity_detected)
+            control_uw += int(control_detected)
+        rows.append(
+            {
+                "sample_id": sample["sample_id"],
+                "label": sample["label"],
+                "domain": sample["domain"],
+                "source_sha256": sample["text_sha256"],
+                "visible_ok": visible_ok,
+                "required_sanitizers_keep": keep,
+                "identity": {
+                    "score": identity_score,
+                    "detected": identity_detected,
+                    "n_tokens": identity_tokens,
+                },
+                "control_mix": {
+                    "score": control_score,
+                    "detected": control_detected,
+                    "n_tokens": control_tokens,
+                    "text_sha256": sha256_text(control),
+                },
+            }
+        )
+        print(
+            f"{sample['sample_id']} identity={identity_score:.6f} control={control_score:.6f}",
+            flush=True,
+        )
+    payload = {
+        "algorithm_version": "cycle8-control-mix-exploratory-v1",
+        "seed_base": seed_base,
+        "topic": used_topic,
+        "pair_count": pair_count,
+        "seen_corpus": False,
+        "independent_generation": True,
+        "product_authorized": False,
+        "confirmation_rewritten": False,
+        "mix_freeze_confirmation": False,
+        "mix_gate_not_rewritten": True,
+        "second_model": False,
+        "second_configuration": True,
+        "evidence_label": "HYPOTHESIS",
+        "model": _MODEL_ID,
+        "generation": "synthid_text.SynthIDGPT2LMHeadModel",
+        "detector": "synthid_text.logits_processing.SynthIDLogitsProcessor",
+        "keys_depth": keys_depth,
+        "threshold": CYCLE6_THRESHOLD,
+        "visible_pass": visible_pass,
+        "required_sanitizers_keep": sanitizer_keep,
+        "effectiveness": {
+            "identity_wm": {"detected": identity_wm, "n": n_wm, "rate": f"{identity_wm}/{n_wm}"},
+            "control_mix_wm": {"detected": control_wm, "n": n_wm, "rate": f"{control_wm}/{n_wm}"},
+            "identity_uw": {"detected": identity_uw, "n": n_uw, "rate": f"{identity_uw}/{n_uw}"},
+            "control_mix_uw": {"detected": control_uw, "n": n_uw, "rate": f"{control_uw}/{n_uw}"},
+            "control_mix_wm_max_score": control_wm_max,
+        },
+        "do_not_generate_950000": True,
+        "rows": rows,
+    }
+    payload["scorecard_hash"] = sha256_json({key: value for key, value in payload.items() if key != "scorecard_hash"})
+    out_dir.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(out_dir / "scorecard.json", payload)
+    write_canonical_json_fsynced(
+        out_dir / "samples.json",
+        {"samples": samples, "seed_base": seed_base, "topic": used_topic, "pair_count": pair_count},
+    )
+    sums = [f"{sha256_file(out_dir / name)}  {name}" for name in ("scorecard.json", "samples.json")]
+    (out_dir / "SHA256SUMS.txt").write_text("\n".join(sums) + "\n", encoding="utf-8")
+    print(canonical_json_text({key: value for key, value in payload.items() if key != "rows"}), flush=True)
+    if seed_base != CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE:
+        raise ValueError("unexpected control-mix seed")
+    return payload
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--seed-base", type=int, required=True)
+    parser.add_argument("--pair-count", type=int, default=_PAIR_COUNT)
+    parser.add_argument("--out-dir", type=str, required=True)
+    args = parser.parse_args()
+    generate_control_mix_corpus(args.seed_base, pair_count=args.pair_count, out_dir=Path(args.out_dir))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py
index a0e07a8b..c35c7e06 100644
--- a/fuckmark/seeds/ledger.py
+++ b/fuckmark/seeds/ledger.py
@@ -28,6 +28,7 @@
 CYCLE8_DEEPMIND_TRANSFER_REPLICATION_SEED_BASE = 1_070_000
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE = 1_080_000
 CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE = 1_090_000
+CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE = 1_100_000
 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling"
 CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication"
 CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation"
@@ -45,6 +46,7 @@
 CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC = "deepmind mix transfer replication"
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC = "deepmind mix transfer holdout"
 CYCLE8_SECOND_MODEL_TRANSFER_TOPIC = "second model mix transfer"
+CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC = "control mix sanitizer exploratory"
 CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC = "mix formal confirmation primary"
 CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC = "mix formal confirmation replication"
 CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC = "mix formal confirmation holdout"
@@ -129,6 +131,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]:
         _row(1070000, "cycle8", "deepmind_transfer_replication", CYCLE8_DEEPMIND_TRANSFER_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
         _row(1080000, "cycle8", "deepmind_transfer_holdout", CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
         _row(1090000, "cycle8", "second_model_transfer", CYCLE8_SECOND_MODEL_TRANSFER_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000."),
+        _row(1100000, "cycle8", "control_mix_exploratory_development", CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000."),
         _row(1120000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1130000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1140000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
@@ -162,7 +165,8 @@ def global_seed_ledger_payload() -> dict[str, object]:
             "scale follow-up. "
             "Seeds 1060000, 1070000, and 1080000 are reserved for independent "
             "DeepMind synthid-text 30-key mix transfer. "
-            "Seed 1090000 is reserved for independent second-model mix transfer."
+            "Seed 1090000 is reserved for independent second-model mix transfer. "
+            "Seed 1100000 is reserved for independent control-mix sanitizer exploratory."
         ),
         "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES),
         "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES),
@@ -200,6 +204,8 @@ def global_seed_ledger_payload() -> dict[str, object]:
         "cycle8_deepmind_transfer_holdout_topic": CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
         "cycle8_second_model_transfer_seed_base": CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
         "cycle8_second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+        "cycle8_control_mix_exploratory_seed_base": CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+        "cycle8_control_mix_exploratory_topic": CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
         "cycle8_mix_confirmation_primary_topic": CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
         "cycle8_mix_confirmation_replication_topic": CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
         "cycle8_mix_confirmation_hold_topic": CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -346,6 +352,20 @@ def assert_new_cycle8_second_model_transfer_generation_seed(seed_base: int) -> N
         raise ValueError("unseen validation seeds must not be used for development generation")
 
 
+def assert_new_cycle8_control_mix_generation_seed(seed_base: int) -> None:
+    require_int("seed_base", seed_base)
+    assert_seed_not_confirmation_content(seed_base)
+    row = row_for_seed_base(seed_base)
+    if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("scale validation seed is reserved until the U+034F x1 mechanism is frozen")
+    if seed_base != CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE:
+        raise ValueError("seed_base is not a Cycle 8 control-mix generation seed")
+    if row["eligible_for_confirmation"] is True:
+        raise ValueError("confirmation-reserved seeds must not be used for development")
+    if row["eligible_as_unseen_validation"] is True:
+        raise ValueError("unseen validation seeds must not be used for development generation")
+
+
 def known_seed_bases() -> Sequence[int]:
     return tuple(int(row["seed_base"]) for row in global_seed_rows())
 
diff --git a/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json b/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
new file mode 100644
index 00000000..9cd90f86
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-control-carrier-scan-v1","assigned_width0_class":"cycle8-invisible-carrier-closed-set-v1","assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","assigned_width0_stronger_mechanism":null,"boundary":"Assigned width-0 insertions remain Mn, Me, or Cf and stay closed. The next insertion class is general category Cc. Layout controls and NUL are excluded. DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms. Product display width still counts them. Research width skips the eligible set because Chromium pre, textarea, and contenteditable pixels match the source. ISO-6429 C1 device controls including CSI remain in the measured eligible set. That ordinary-text and terminal risk blocks product authorization and does not rewrite mix sanitizer FAIL. Terminal pixels stay UNKNOWN.","c0_non_layout_non_hostile_not_eligible":["U+0001","U+0002","U+0003","U+0004","U+0005","U+0006","U+0007","U+0008","U+000E","U+000F","U+0010","U+0011","U+0012","U+0013","U+0014","U+0015","U+0016","U+0017","U+0018","U+0019","U+001A","U+001B","U+001C","U+001D","U+001E","U+001F"],"cc_probe_count":65,"control_carrier_hash":"1e63bd5d39f04ba1f7d3634c60cea1f218e118590dd8d09b55ffb449908010e4","eligible_are_cc":true,"eligible_codepoints":["U+007F","U+0080","U+0081","U+0082","U+0083","U+0084","U+0086","U+0087","U+0088","U+0089","U+008A","U+008B","U+008C","U+008D","U+008E","U+008F","U+0090","U+0091","U+0092","U+0093","U+0094","U+0095","U+0096","U+0097","U+0098","U+0099","U+009A","U+009B","U+009C","U+009D","U+009E","U+009F"],"eligible_count":32,"eligible_not_default_ignorable":true,"eligible_product_width_delta_one":true,"eligible_required_sanitizers_keep":true,"eligible_research_width_delta_zero":true,"empty_glyph_probes":[{"category":"Zs","default_ignorable":false,"label":"U+1680","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+2800","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+FFFD","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFE","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFF","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FDD0","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+E000","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+F8FF","product_display_width_delta":1,"required_sanitizers_keep":true}],"hostile_control_codepoints":["U+0000"],"hostile_control_labels":["U+0000"],"iso6429_device_control_codepoints":["U+0084","U+008D","U+008E","U+008F","U+0090","U+0098","U+009B","U+009C","U+009D","U+009E","U+009F"],"iso6429_device_controls_remain_in_eligible_set":true,"layout_control_codepoints":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085","U+2028","U+2029"],"layout_control_labels":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085"],"mix_gate_not_rewritten":true,"priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_display_width_proxy":"FAIL","search_space":"general_category_Cc_plus_empty_glyph_probes","terminal_pixels":"UNKNOWN"}
diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
index 77545c35..11820b6e 100644
--- a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"761c50d90308a06255c56c905cb66f69c16c561602943dd09acce7de5dcd8270","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
+{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"control_mix_exploratory_seed_base":1100000,"control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"97e65dbb5c0cde0481e76e36c0ee032e51c75aad0c90189003368c1370e71110","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. Control-mix exploratory seed 1100000 and topic 'control mix sanitizer exploratory' were reserved in global-seed-ledger-v1 before control-mix generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json
index 4828c21a..a65eadb8 100644
--- a/specs/fuckmark-global-seed-ledger-v1.json
+++ b/specs/fuckmark-global-seed-ledger-v1.json
@@ -1 +1 @@
-{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"cycle8_deepmind_transfer_holdout_seed_base":1080000,"cycle8_deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","cycle8_deepmind_transfer_primary_seed_base":1060000,"cycle8_deepmind_transfer_primary_topic":"deepmind mix transfer primary","cycle8_deepmind_transfer_replication_seed_base":1070000,"cycle8_deepmind_transfer_replication_topic":"deepmind mix transfer replication","cycle8_density_exploratory_seed_base":960000,"cycle8_density_exploratory_topic":"carrier density follow-up","cycle8_letter_benchmark_primary_seed_base":980000,"cycle8_letter_benchmark_primary_topic":"letter carrier system benchmark","cycle8_letter_benchmark_replication_seed_base":990000,"cycle8_letter_benchmark_replication_topic":"letter carrier benchmark replication","cycle8_letter_exploratory_seed_base":970000,"cycle8_letter_exploratory_topic":"intra-word carrier 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Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer."}
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replication","cycle8_scale_exploratory_seed_base":930000,"cycle8_scale_exploratory_topic":"carrier scaling","cycle8_scale_replication_seed_base":940000,"cycle8_scale_replication_topic":"independent scale replication","cycle8_scale_validation_seed_base":950000,"cycle8_scale_validation_topic":"clean scale validation","cycle8_second_model_transfer_seed_base":1090000,"cycle8_second_model_transfer_topic":"second model mix transfer","ledger_hash":"7adeaa6ee9604fc4890f6289eb5b467c6324f1aeb9f364b00f874f2070964c0c","publicly_exposed_unseen_invalid_seed_bases":[880000],"rows":[{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic schedule","notes":"Historic TinyDev schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":61000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev canonical attack base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":401000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev base.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":402000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"tiny-dev-v3","notes":"Budget-scaled coverage tiny-dev-v3 base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":410000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-effectiveness seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":420000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":430000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":440000,"spent":true},{"cycle":"calibration","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic calibration","notes":"Historic calibration base.","publicly_exposed":true,"role":"threshold_calibration","scored":true,"seed_base":500000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":530000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":540000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":550000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development 0/16. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":720000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":730000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":760000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"control mix sanitizer exploratory","notes":"Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"control_mix_exploratory_development","scored":true,"seed_base":1100000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer. Seed 1100000 is reserved for independent control-mix sanitizer exploratory."}
diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py
index d8f893e2..b90f8b12 100644
--- a/tests/test_cycle8_carriers.py
+++ b/tests/test_cycle8_carriers.py
@@ -74,6 +74,8 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert payload["deepmind_transfer_replication_seed_base"] == 1_070_000
     assert payload["deepmind_transfer_holdout_seed_base"] == 1_080_000
     assert payload["second_model_transfer_seed_base"] == 1_090_000
+    assert payload["control_mix_exploratory_seed_base"] == 1_100_000
+    assert payload["control_mix_exploratory_topic"] == "control mix sanitizer exploratory"
     assert payload["deepmind_transfer_primary_topic"] == "deepmind mix transfer primary"
     assert payload["second_model_transfer_topic"] == "second model mix transfer"
     assert payload["confirmation_reserved_seed_bases"] == [830_000, 840_000, 850_000]
@@ -95,6 +97,7 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert_cycle8_development_seed(1_070_000, role="deepmind_transfer_replication")
     assert_cycle8_development_seed(1_080_000, role="deepmind_transfer_holdout")
     assert_cycle8_development_seed(1_090_000, role="second_model_transfer")
+    assert_cycle8_development_seed(1_100_000, role="control_mix_exploratory_development")
     with pytest.raises(ValueError):
         assert_cycle8_development_seed(760_000, role="exploratory_development")
     with pytest.raises(ValueError, match="publicly exposed|spent or reserved"):
diff --git a/tests/test_cycle8_control_carrier.py b/tests/test_cycle8_control_carrier.py
new file mode 100644
index 00000000..6f176e89
--- /dev/null
+++ b/tests/test_cycle8_control_carrier.py
@@ -0,0 +1,145 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress
+from fuckmark.cycle8.closed_set import CYCLE8_CLOSED_SET_HASH
+from fuckmark.cycle8.control_carrier import (
+    CONTROL_MIX_ELIGIBLE_CODEPOINTS,
+    CYCLE8_CONTROL_CARRIER_HASH,
+    CYCLE8_CONTROL_CARRIER_PATH,
+    CYCLE8_CONTROL_CARRIER_VERSION,
+    HOSTILE_CONTROL_CODEPOINTS,
+    ISO6429_DEVICE_CONTROL_CODEPOINTS,
+    LAYOUT_CONTROL_CODEPOINTS,
+    apply_required_sanitizer_bundle,
+    assert_control_carrier_scan_committed,
+    control_display_column_width,
+    is_control_mix_eligible,
+    is_iso6429_device_control,
+    required_sanitizers_keep,
+    scan_control_carrier_class,
+)
+from fuckmark.cycle8.control_mix import (
+    CONTROL_MIX_APPROVED_CARRIERS,
+    apply_control_alternating_mix,
+)
+from fuckmark.cycle8.feasibility import CYCLE8_FEASIBILITY_HASH
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.hashing import sha256_json
+from fuckmark.cycle8.benchmark_render import compare_chrome_surface
+from fuckmark.product.rendering import chrome_executable, compare_chrome_pre_screenshots
+from fuckmark.product.roundtrip import display_column_width
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.sanitizer_robustness import strip_unicode_format_characters
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def _load() -> dict[str, object]:
+    return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_CONTROL_CARRIER_PATH).read_text(encoding="utf-8"))
+
+
+def test_control_carrier_scan_keeps_width0_closed_and_finds_cc_survivors() -> None:
+    disk = _load()
+    payload = scan_control_carrier_class()
+    body = {key: value for key, value in disk.items() if key != "control_carrier_hash"}
+    assert disk["control_carrier_hash"] == sha256_json(body) == CYCLE8_CONTROL_CARRIER_HASH
+    assert disk["algorithm_version"] == CYCLE8_CONTROL_CARRIER_VERSION
+    assert disk["assigned_width0_closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+    assert disk["assigned_width0_feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+    assert disk["assigned_width0_stronger_mechanism"] is None
+    assert disk["product_authorized"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["eligible_count"] == 32
+    assert disk["eligible_required_sanitizers_keep"] is True
+    assert disk["eligible_are_cc"] is True
+    assert disk["eligible_not_default_ignorable"] is True
+    assert disk["eligible_product_width_delta_one"] is True
+    assert disk["eligible_research_width_delta_zero"] is True
+    assert disk["iso6429_device_controls_remain_in_eligible_set"] is True
+    assert disk["product_display_width_proxy"] == "FAIL"
+    assert disk["terminal_pixels"] == "UNKNOWN"
+    assert "U+009B" in disk["iso6429_device_control_codepoints"]
+    assert "U+009B" in disk["eligible_codepoints"]
+    assert "U+007F" in disk["eligible_codepoints"]
+    assert "U+0080" in disk["eligible_codepoints"]
+    assert "U+0085" not in disk["eligible_codepoints"]
+    assert "U+0000" not in disk["eligible_codepoints"]
+    assert "U+000A" not in disk["eligible_codepoints"]
+    assert payload == disk
+    assert_control_carrier_scan_committed()
+    assert process_text("I do not agree.") == "I do not agree."
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+
+
+def test_eligible_controls_are_policy_filtered_and_survive_required_sanitizers() -> None:
+    assert 0x007F in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    assert 0x0080 in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    assert 0x009F in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    assert 0x0085 not in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    assert 0x0085 in LAYOUT_CONTROL_CODEPOINTS
+    assert 0x0000 in HOSTILE_CONTROL_CODEPOINTS
+    assert is_control_mix_eligible(0x0085) is False
+    assert is_control_mix_eligible(0x0000) is False
+    assert is_control_mix_eligible(0x0001) is False
+    assert is_iso6429_device_control(0x009B) is True
+    assert 0x009B in ISO6429_DEVICE_CONTROL_CODEPOINTS
+    assert 0x009B in CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    source = "I do not agree."
+    control = apply_control_alternating_mix(source)
+    mix = apply_letter_alternating_mix(source)
+    assert control != source
+    assert mix != source
+    assert required_sanitizers_keep(control) is True
+    assert apply_required_sanitizer_bundle(control) == control
+    assert sanitize_benchmark_stress("mn_strip", control) == control
+    assert sanitize_benchmark_stress("default_ignorable_strip", control) == control
+    assert strip_unicode_format_characters(control) == control
+    assert sanitize_benchmark_stress("mn_strip", mix) == source
+    assert sanitize_benchmark_stress("default_ignorable_strip", mix) == source
+    assert display_column_width(source) != display_column_width(control)
+    assert control_display_column_width(source) == control_display_column_width(control)
+    assert process_text(source) == source
+    assert product_approved_carriers_v1() == frozenset()
+
+
+def test_control_mix_carriers_match_eligible_set() -> None:
+    assert CONTROL_MIX_APPROVED_CARRIERS == CONTROL_MIX_ELIGIBLE_CODEPOINTS
+    assert len(CONTROL_MIX_APPROVED_CARRIERS) == 32
+
+
+def test_control_mix_full_apply_matches_chromium_pixels() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    source = "I do not agree."
+    control = apply_control_alternating_mix(source)
+    comparison = compare_chrome_pre_screenshots(source, control)
+    if comparison.status == "UNKNOWN":
+        pytest.skip(comparison.detail)
+    assert comparison.status == "VERIFIED"
+    assert comparison.equal is True
+    for surface in ("textarea", "contenteditable"):
+        rendered = compare_chrome_surface(source, control, surface)
+        if rendered["status"] == "UNKNOWN":
+            pytest.skip(str(rendered["detail"]))
+        assert rendered["status"] == "VERIFIED"
+        assert rendered["equal"] is True
+    tofu = compare_chrome_pre_screenshots(source, "I\u0001 do not agree.")
+    if tofu.status == "UNKNOWN":
+        pytest.skip(tofu.detail)
+    assert tofu.status == "REJECTED"
+    assert tofu.equal is False
+    blank = compare_chrome_pre_screenshots(source, "I\u2800 do not agree.")
+    if blank.status == "UNKNOWN":
+        pytest.skip(blank.detail)
+    assert blank.status == "REJECTED"
+    assert blank.equal is False
+    for codepoint in (0x007F, 0x0080, 0x009F):
+        row = compare_chrome_pre_screenshots(source, f"I{chr(codepoint)} do not agree.")
+        if row.status == "UNKNOWN":
+            pytest.skip(row.detail)
+        assert row.status == "VERIFIED"
+        assert row.equal is True
diff --git a/tests/test_cycle8_control_mix.py b/tests/test_cycle8_control_mix.py
new file mode 100644
index 00000000..b90246aa
--- /dev/null
+++ b/tests/test_cycle8_control_mix.py
@@ -0,0 +1,95 @@
+import json
+import unicodedata
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress
+from fuckmark.cycle8.control_carrier import (
+    apply_required_sanitizer_bundle,
+    control_display_column_width,
+    required_sanitizers_keep,
+)
+from fuckmark.cycle8.control_mix import (
+    CONTROL_MIX_APPROVED_CARRIERS,
+    CONTROL_MIX_MAX_SELECTED,
+    CONTROL_MIX_PAYLOADS,
+    apply_control_alternating_mix,
+    select_control_mix_sites,
+)
+from fuckmark.cycle8.letter_mix import LETTER_MIX_MAX_SELECTED, apply_letter_alternating_mix, hard_machine_intervals
+from fuckmark.cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant
+from fuckmark.cycle8.tokenizer_screen import GPT2_FIXTURE, load_gpt2_encoder, resynchronization_metrics
+from fuckmark.product.roundtrip import latin1_roundtrip_survives
+from fuckmark.product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1, project_visible_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def test_control_mix_cycles_eligible_controls_and_keeps_visible_text() -> None:
+    source = "Abcd"
+    applied = apply_control_alternating_mix(source)
+    assert applied == "A\u007fb\u0080c\u0081d\u0082"
+    assert is_carrier_insertion_v1(source, applied, CONTROL_MIX_APPROVED_CARRIERS)
+    assert project_visible_v1(applied, CONTROL_MIX_APPROVED_CARRIERS) == source
+    assert CONTROL_MIX_MAX_SELECTED == LETTER_MIX_MAX_SELECTED == 192
+    assert process_text(source) == source
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
+
+
+def test_control_mix_blocks_numbers_and_urls_and_survives_required_sanitizers() -> None:
+    source = r"Keep going \[item 7 and we never wait at https://example.com/ab."
+    mix = apply_letter_alternating_mix(source)
+    control = apply_control_alternating_mix(source)
+    sites = select_control_mix_sites(source)
+    inserted = sum(control.count(payload) for payload in CONTROL_MIX_PAYLOADS)
+    assert inserted == len(sites)
+    assert "7" in control
+    assert "https://example.com/ab" in project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS)
+    url = "https://example.com/ab"
+    url_start = source.index(url)
+    url_end = url_start + len(url)
+    for index in sites:
+        assert index < url_start or index >= url_end
+        assert source[index] != "7"
+    intervals = hard_machine_intervals(source)
+    assert any(source[start:end] == "7" for start, end in intervals)
+    assert project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS) == source
+    assert required_sanitizers_keep(control) is True
+    assert apply_required_sanitizer_bundle(control) == control
+    for variant in CYCLE8_SCALE_SANITIZER_VARIANT_IDS:
+        assert sanitize_cycle8_scale_variant(variant, control) == control
+    assert sanitize_benchmark_stress("mn_strip", mix) == source
+    assert sanitize_benchmark_stress("mn_strip", control) == control
+    assert latin1_roundtrip_survives(control) is True
+    assert json.loads(json.dumps(control, ensure_ascii=False)) == control
+    assert process_text("I do not agree.") == "I do not agree."
+
+
+def test_control_mix_inserts_inside_quotes_and_respects_cap() -> None:
+    quoted = 'He said "hello world" and left.'
+    applied = apply_control_alternating_mix(quoted)
+    interior = applied[applied.index('"') + 1 : applied.rindex('"')]
+    assert any(payload in interior for payload in CONTROL_MIX_PAYLOADS)
+    source = "abcdefghijklmnopqrstuvwxyz" * 12
+    capped = apply_control_alternating_mix(source, max_selected=16)
+    inserted = sum(capped.count(payload) for payload in CONTROL_MIX_PAYLOADS)
+    assert inserted == 16
+    assert project_visible_v1(capped, CONTROL_MIX_APPROVED_CARRIERS) == source
+    assert control_display_column_width(capped) == control_display_column_width(source)
+
+
+def test_control_mix_disrupts_gpt2_tokens_and_breaks_raw_search() -> None:
+    source = "I do not agree."
+    applied = apply_control_alternating_mix(source)
+    assert "do not" in source
+    assert "do not" not in applied
+    assert "do not" in project_visible_v1(applied, CONTROL_MIX_APPROVED_CARRIERS)
+    assert all(unicodedata.category(payload) == "Cc" for payload in CONTROL_MIX_PAYLOADS)
+    encoder = load_gpt2_encoder()
+    if encoder is None:
+        return
+    metrics = resynchronization_metrics(encoder(source), encoder(applied))
+    assert metrics["ids_equal"] is False
+    assert int(metrics["token_count_delta"]) > 0
+    long_metrics = resynchronization_metrics(encoder(GPT2_FIXTURE), encoder(apply_control_alternating_mix(GPT2_FIXTURE)))
+    assert long_metrics["ids_equal"] is False
+    assert int(long_metrics["token_count_delta"]) > 0
diff --git a/tests/test_cycle8_control_mix_diagnostic.py b/tests/test_cycle8_control_mix_diagnostic.py
new file mode 100644
index 00000000..15535a7e
--- /dev/null
+++ b/tests/test_cycle8_control_mix_diagnostic.py
@@ -0,0 +1,63 @@
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.control_carrier import apply_required_sanitizer_bundle, required_sanitizers_keep
+from fuckmark.cycle8.control_mix import CONTROL_MIX_APPROVED_CARRIERS, apply_control_alternating_mix
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.hashing import sha256_file, sha256_json, sha256_text
+from fuckmark.product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1, project_visible_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+_DIAGNOSTIC = "evidence/cycle8-control-mix-diagnostic-920000-n16-2026-08-27"
+_DIAGNOSTIC_HASH = "d6afe1930faa3762dbcc3f844e31563d64b703ab477fb294a99be283c041ca0b"
+_SAMPLES = "evidence/cycle8-mix-deepmind-30key-920000-n16-2026-08-27/samples.json"
+
+
+def test_control_mix_diagnostic_920000_is_seen_hypothesis_zero() -> None:
+    root = Path(__file__).resolve().parents[1] / _DIAGNOSTIC
+    disk = json.loads((root / "scorecard.json").read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == _DIAGNOSTIC_HASH
+    assert disk["algorithm_version"] == "cycle8-control-mix-diagnostic-v1"
+    assert disk["seed_base"] == 920000
+    assert disk["seen_corpus"] is True
+    assert disk["independent_generation"] is False
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["mix_freeze_confirmation"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["pair_count"] == 16
+    assert disk["visible_pass"] is True
+    assert disk["required_sanitizers_keep"] is True
+    assert disk["keys_depth"] == 30
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["identity_wm"]["rate"] == "16/16"
+    assert effectiveness["control_mix_wm"]["rate"] == "0/16"
+    assert effectiveness["mix_wm"]["rate"] == "0/16"
+    assert effectiveness["identity_uw"]["rate"] == "0/16"
+    assert effectiveness["control_mix_uw"]["rate"] == "0/16"
+    assert effectiveness["mix_uw"]["rate"] == "0/16"
+    assert float(effectiveness["control_mix_wm_max_score"]) == 0.505336937084192
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+    samples = json.loads((Path(__file__).resolve().parents[1] / _SAMPLES).read_text(encoding="utf-8"))["samples"]
+    by_id = {row["sample_id"]: row for row in samples}
+    for row in disk["rows"]:
+        source = by_id[row["sample_id"]]["text"]
+        assert sha256_text(source) == row["source_sha256"]
+        control = apply_control_alternating_mix(source)
+        mix = apply_letter_alternating_mix(source)
+        assert sha256_text(control) == row["control_mix"]["text_sha256"]
+        assert sha256_text(mix) == row["mix"]["text_sha256"]
+        assert is_carrier_insertion_v1(source, control, CONTROL_MIX_APPROVED_CARRIERS)
+        assert project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS) == source
+        assert required_sanitizers_keep(control) is True
+        assert apply_required_sanitizer_bundle(control) == control
+        assert row["visible_ok"] is True
+        assert row["required_sanitizers_keep"] is True
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines()
+    files = {line.split()[-1]: line.split()[0] for line in sums if line}
+    for name, digest in files.items():
+        assert sha256_file(root / name) == digest
diff --git a/tests/test_cycle8_control_mix_exploratory.py b/tests/test_cycle8_control_mix_exploratory.py
new file mode 100644
index 00000000..1010bd12
--- /dev/null
+++ b/tests/test_cycle8_control_mix_exploratory.py
@@ -0,0 +1,78 @@
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.control_carrier import apply_required_sanitizer_bundle, required_sanitizers_keep
+from fuckmark.cycle8.control_mix import CONTROL_MIX_APPROVED_CARRIERS, apply_control_alternating_mix
+from fuckmark.hashing import sha256_file, sha256_json, sha256_text
+from fuckmark.product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1, project_visible_v1
+from fuckmark.seeds.ledger import CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE, row_for_seed_base
+from fuckmark.transforms.registry import release_transform_registry
+
+
+_ROOT = "evidence/cycle8-control-mix-1100000-n16-2026-08-27"
+_SCORECARD_HASH = "8aadf220a3a69e7f88689e6b10b21011f0b4ee66d68c1dd46627f5ad214554d0"
+
+
+def test_control_mix_1100000_is_independent_hypothesis_zero() -> None:
+    root = Path(__file__).resolve().parents[1] / _ROOT
+    disk = json.loads((root / "scorecard.json").read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "scorecard_hash"}
+    assert disk["scorecard_hash"] == sha256_json(body) == _SCORECARD_HASH
+    assert disk["algorithm_version"] == "cycle8-control-mix-exploratory-v1"
+    assert disk["seed_base"] == CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE == 1100000
+    assert disk["seen_corpus"] is False
+    assert disk["independent_generation"] is True
+    assert disk["product_authorized"] is False
+    assert disk["confirmation_rewritten"] is False
+    assert disk["mix_freeze_confirmation"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["second_model"] is False
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["pair_count"] == 16
+    assert disk["visible_pass"] is True
+    assert disk["required_sanitizers_keep"] is True
+    assert disk["keys_depth"] == 30
+    assert disk["model"] == "openai-community/gpt2"
+    assert disk["do_not_generate_950000"] is True
+    effectiveness = disk["effectiveness"]
+    assert effectiveness["identity_wm"]["rate"] == "15/16"
+    assert effectiveness["control_mix_wm"]["rate"] == "0/16"
+    assert effectiveness["identity_uw"]["rate"] == "0/16"
+    assert effectiveness["control_mix_uw"]["rate"] == "0/16"
+    assert float(effectiveness["control_mix_wm_max_score"]) == 0.5058514183090623
+    ledger = row_for_seed_base(1100000)
+    assert ledger["generated"] is True
+    assert ledger["scored"] is True
+    assert ledger["eligible_for_confirmation"] is False
+    samples = json.loads((root / "samples.json").read_text(encoding="utf-8"))
+    by_id = {row["sample_id"]: row for row in samples["samples"]}
+    assert len(disk["rows"]) == 32
+    assert len(samples["samples"]) == 32
+    for row in disk["rows"]:
+        source = by_id[row["sample_id"]]["text"]
+        assert "text" not in row
+        assert "text" not in row["control_mix"]
+        assert sha256_text(source) == row["source_sha256"] == by_id[row["sample_id"]]["text_sha256"]
+        control = apply_control_alternating_mix(source)
+        assert sha256_text(control) == row["control_mix"]["text_sha256"]
+        assert is_carrier_insertion_v1(source, control, CONTROL_MIX_APPROVED_CARRIERS)
+        assert project_visible_v1(control, CONTROL_MIX_APPROVED_CARRIERS) == source
+        assert required_sanitizers_keep(control) is True
+        assert apply_required_sanitizer_bundle(control) == control
+        assert row["visible_ok"] is True
+        assert row["required_sanitizers_keep"] is True
+    identity_miss = [
+        row
+        for row in disk["rows"]
+        if row["label"] == "watermarked" and row["identity"]["detected"] is False
+    ]
+    assert len(identity_miss) == 1
+    assert identity_miss[0]["sample_id"] == "cycle8-1100000-11-structured_instructional-watermarked"
+    assert float(identity_miss[0]["identity"]["score"]) == 0.5568728032677877
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines()
+    files = {line.split()[-1]: line.split()[0] for line in sums if line}
+    assert set(files) == {"README.md", "scorecard.json", "samples.json"}
+    for name, digest in files.items():
+        assert sha256_file(root / name) == digest
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset()
diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py
index f1bfb569..d2f7b466 100644
--- a/tests/test_global_seed_ledger.py
+++ b/tests/test_global_seed_ledger.py
@@ -33,6 +33,8 @@
     CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
     CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
     CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
     CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
@@ -49,6 +51,7 @@
     assert_new_cycle8_mix_generation_seed,
     assert_new_cycle8_deepmind_transfer_generation_seed,
     assert_new_cycle8_second_model_transfer_generation_seed,
+    assert_new_cycle8_control_mix_generation_seed,
     assert_new_cycle8_scale_generation_seed,
     assert_seed_not_confirmation_content,
     global_seed_ledger_hash,
@@ -118,6 +121,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
     assert 1020000 in bases and 1030000 in bases
     assert 1040000 in bases and 1050000 in bases
     assert 1060000 in bases and 1070000 in bases and 1080000 in bases and 1090000 in bases
+    assert 1100000 in bases
     density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE)
     assert density["generated"] is True
     assert density["scored"] is True
@@ -222,3 +226,15 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
         assert_new_cycle8_second_model_transfer_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
     with pytest.raises(ValueError, match="confirmation"):
         assert_new_cycle8_second_model_transfer_generation_seed(830000)
+    control_mix = row_for_seed_base(CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE)
+    assert control_mix["generation_topic"] == CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC == "control mix sanitizer exploratory"
+    assert control_mix["generated"] is True
+    assert control_mix["scored"] is True
+    assert control_mix["eligible_for_confirmation"] is False
+    assert_new_cycle8_control_mix_generation_seed(CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE)
+    with pytest.raises(ValueError, match="control-mix"):
+        assert_new_cycle8_control_mix_generation_seed(CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE)
+    with pytest.raises(ValueError, match="frozen"):
+        assert_new_cycle8_control_mix_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
+    with pytest.raises(ValueError, match="confirmation"):
+        assert_new_cycle8_control_mix_generation_seed(830000)

From 6033a7cedd9e2afc95346a63f1f629dd63c4838b Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 02:13:20 +0000
Subject: [PATCH 06/28] Record H12 Chromium pixels as host-dependent.

GitHub Actions Chromium rejected the full control-mix apply while one
research host matched. Do not treat that as a product visibility PASS.
Mix sanitizer stays FAIL. The public CLI stays empty.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                    |  2 +-
 docs/cycle8/README.md                           |  2 +-
 docs/cycle8/carrier-research.md                 |  6 +++---
 docs/cycle8/mix-publishability.md               |  2 +-
 fuckmark/cycle8/control_carrier.py              | 17 +++++++++++------
 ...fuckmark-cycle8-control-carrier-scan-v1.json |  2 +-
 tests/test_cycle8_control_carrier.py            | 12 +++++-------
 7 files changed, 23 insertions(+), 20 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index d0782b17..d2f9d548 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -33,7 +33,7 @@
 - Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty.
 - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`.
 - Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility and the width-0 closed set found no stronger Priority-Zero invisible mechanism. All 13 enclosing marks change Chromium `pre` pixels. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean 0/192 plus independent Google `synthid-text` 30-key GPT-2 mix **0/192** (identity WM 189/192). DistilGPT2 n=16 is HYPOTHESIS second-model transfer (identity 16/16, mix 0/16), not confirmation-scale. Mean versus Weighted Mean on the same GPT-2 Hugging Face adapter remains HYPOTHESIS. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
-- Cycle 8 H12 control-code research: DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC/NFKD, and frozen Cycle 6/7 sanitizers while keeping exact visible projection and Chromium `pre`/textarea/contenteditable pixels on measured fixtures. Seen DeepMind 30-key diagnostic rescore of seed `920000` n=16 is control-mix **0/16** WM with identity **16/16**. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. This is a new `Cc` class, not a mix sanitizer PASS. Public CLI stays empty. Do not generate `950000`.
+- Cycle 8 H12 control-code research: DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC/NFKD, and frozen Cycle 6/7 sanitizers while keeping exact visible projection. Chromium `pre` pixels are host-dependent (research host matched; GitHub Actions Chromium rejected the full apply). Seen DeepMind 30-key diagnostic rescore of seed `920000` n=16 is control-mix **0/16** WM with identity **16/16**. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. This is a new `Cc` class, not a mix sanitizer PASS. Public CLI stays empty. Do not generate `950000`.
 
 ## v0.2.0 — Exact-survival confirmation and release hardening
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index dfd1b7c5..a4d19992 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -23,7 +23,7 @@ See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`,
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 5a118628..33ff64e6 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -64,8 +64,8 @@ DEL (U+007F) and C1 (U+0080..U+009F except U+0085) are 32 code points that:
 - are `Cc`, not default-ignorable, not Mn, not Cf;
 - survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms;
 - keep exact `project_visible_v1` when used as approved insertion carriers;
-- keep Chromium `pre`, textarea, and contenteditable PNG bytes on single-insert probes and on a full letter-alternating apply of the short paragraph and the GPT-2 fixture;
-- keep Chromium `window.find` HIT for `do not` on the short paragraph;
+- are Chromium-pixel **host-dependent**: one research host matched `pre`/textarea/contenteditable PNG bytes on single-insert probes and a full apply; GitHub Actions Chromium `REJECTED` the same full apply (`png_bytes_differ`);
+- keep Chromium `window.find` HIT for `do not` on the short paragraph on the research host;
 - disrupt GPT-2 BPE (`ids_equal=false`, token-count delta positive);
 - round-trip through UTF-8, JSON, and latin-1;
 - fail the v1 product display-width proxy, which still counts `Cc` as width 1. Research width skips the eligible set. That is a proxy gap, not a visible-text change.
@@ -76,7 +76,7 @@ Seen-corpus DeepMind 30-key diagnostic rescore of seed `920000` n=16: identity W
 
 Independent reserved seed `1100000` n=16: identity WM **15/16**, control-mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505851`. The identity miss is one structured-instructional watermarked row at `0.556873` versus threshold `0.557099`. Do not rewrite 15/16 as 16/16. This n=16 is `HYPOTHESIS`, not confirmation, and does not transfer mix-freeze 0/192.
 
-ISO-6429 C1 device controls including CSI (U+009B) remain in the measured 32-codepoint eligible set. Product `display_column_width` still counts `Cc` as width 1. Terminal pixels stay UNKNOWN. Those ordinary-text and terminal risks block product authorization. They do not rewrite mix sanitizer FAIL.
+ISO-6429 C1 device controls including CSI (U+009B) remain in the measured 32-codepoint eligible set. Product `display_column_width` still counts `Cc` as width 1. Terminal pixels stay UNKNOWN. Chromium `pre` pixels are host-dependent. Those ordinary-text, terminal, and cross-Chromium visibility risks block product authorization. They do not rewrite mix sanitizer FAIL.
 
 Spec: `cycle8-control-carrier-scan-v1`.
 
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 479b60bf..18ccc0c3 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -52,7 +52,7 @@ Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no
 
 Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
-H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers and were Chromium-pixel-equal on this host. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
+H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
 
 ## Cross-detector generalization
 
diff --git a/fuckmark/cycle8/control_carrier.py b/fuckmark/cycle8/control_carrier.py
index 3685051b..347631dc 100644
--- a/fuckmark/cycle8/control_carrier.py
+++ b/fuckmark/cycle8/control_carrier.py
@@ -17,7 +17,7 @@
 
 CYCLE8_CONTROL_CARRIER_VERSION = "cycle8-control-carrier-scan-v1"
 CYCLE8_CONTROL_CARRIER_PATH = "specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json"
-CYCLE8_CONTROL_CARRIER_HASH = "1e63bd5d39f04ba1f7d3634c60cea1f218e118590dd8d09b55ffb449908010e4"
+CYCLE8_CONTROL_CARRIER_HASH = "99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd"
 LAYOUT_CONTROL_CODEPOINTS = (0x0009, 0x000A, 0x000B, 0x000C, 0x000D, 0x0085, 0x2028, 0x2029)
 HOSTILE_CONTROL_CODEPOINTS = (0x0000,)
 ISO6429_DEVICE_CONTROL_CODEPOINTS = (0x0084, 0x008D, 0x008E, 0x008F, 0x0090, 0x0098, 0x009B, 0x009C, 0x009D, 0x009E, 0x009F)
@@ -172,6 +172,7 @@ def scan_control_carrier_class() -> dict[str, object]:
             codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS for codepoint in ISO6429_DEVICE_CONTROL_CODEPOINTS
         ),
         "product_display_width_proxy": "FAIL",
+        "chromium_pre_pixels": "HOST_DEPENDENT",
         "terminal_pixels": "UNKNOWN",
         "layout_control_labels": layout,
         "hostile_control_labels": hostile,
@@ -185,11 +186,13 @@ def scan_control_carrier_class() -> dict[str, object]:
             "are excluded. DEL and C1 except NEXT LINE survive Mn-strip, "
             "default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 "
             "sanitizers, and the combination of those arms. Product display width still "
-            "counts them. Research width skips the eligible set because Chromium pre, "
-            "textarea, and contenteditable pixels match the source. ISO-6429 C1 device "
-            "controls including CSI remain in the measured eligible set. That ordinary-text "
-            "and terminal risk blocks product authorization and does not rewrite mix "
-            "sanitizer FAIL. Terminal pixels stay UNKNOWN."
+            "counts them. Research width skips the eligible set. Chromium pre, "
+            "textarea, and contenteditable pixels are host-dependent for this class: "
+            "one research host matched the source, GitHub Actions Chromium rejected "
+            "the full apply. ISO-6429 C1 device "
+            "controls including CSI remain in the measured eligible set. Ordinary-text, "
+            "terminal, and cross-Chromium visibility risks block product authorization "
+            "and do not rewrite mix sanitizer FAIL. Terminal pixels stay UNKNOWN."
         ),
     }
     return {**payload, "control_carrier_hash": sha256_json(payload)}
@@ -234,5 +237,7 @@ def assert_control_carrier_scan_committed() -> None:
         raise ValueError("measured eligible set must keep ISO-6429 device controls")
     if live["product_display_width_proxy"] != "FAIL":
         raise ValueError("product display-width proxy must remain FAIL")
+    if live["chromium_pre_pixels"] != "HOST_DEPENDENT":
+        raise ValueError("control-mix Chromium pixels must remain host-dependent")
     if live["terminal_pixels"] != "UNKNOWN":
         raise ValueError("terminal pixels must remain UNKNOWN")
diff --git a/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json b/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
index 9cd90f86..cdc3e28d 100644
--- a/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-control-carrier-scan-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-control-carrier-scan-v1","assigned_width0_class":"cycle8-invisible-carrier-closed-set-v1","assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","assigned_width0_stronger_mechanism":null,"boundary":"Assigned width-0 insertions remain Mn, Me, or Cf and stay closed. The next insertion class is general category Cc. Layout controls and NUL are excluded. DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms. Product display width still counts them. Research width skips the eligible set because Chromium pre, textarea, and contenteditable pixels match the source. ISO-6429 C1 device controls including CSI remain in the measured eligible set. That ordinary-text and terminal risk blocks product authorization and does not rewrite mix sanitizer FAIL. Terminal pixels stay UNKNOWN.","c0_non_layout_non_hostile_not_eligible":["U+0001","U+0002","U+0003","U+0004","U+0005","U+0006","U+0007","U+0008","U+000E","U+000F","U+0010","U+0011","U+0012","U+0013","U+0014","U+0015","U+0016","U+0017","U+0018","U+0019","U+001A","U+001B","U+001C","U+001D","U+001E","U+001F"],"cc_probe_count":65,"control_carrier_hash":"1e63bd5d39f04ba1f7d3634c60cea1f218e118590dd8d09b55ffb449908010e4","eligible_are_cc":true,"eligible_codepoints":["U+007F","U+0080","U+0081","U+0082","U+0083","U+0084","U+0086","U+0087","U+0088","U+0089","U+008A","U+008B","U+008C","U+008D","U+008E","U+008F","U+0090","U+0091","U+0092","U+0093","U+0094","U+0095","U+0096","U+0097","U+0098","U+0099","U+009A","U+009B","U+009C","U+009D","U+009E","U+009F"],"eligible_count":32,"eligible_not_default_ignorable":true,"eligible_product_width_delta_one":true,"eligible_required_sanitizers_keep":true,"eligible_research_width_delta_zero":true,"empty_glyph_probes":[{"category":"Zs","default_ignorable":false,"label":"U+1680","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+2800","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+FFFD","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFE","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFF","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FDD0","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+E000","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+F8FF","product_display_width_delta":1,"required_sanitizers_keep":true}],"hostile_control_codepoints":["U+0000"],"hostile_control_labels":["U+0000"],"iso6429_device_control_codepoints":["U+0084","U+008D","U+008E","U+008F","U+0090","U+0098","U+009B","U+009C","U+009D","U+009E","U+009F"],"iso6429_device_controls_remain_in_eligible_set":true,"layout_control_codepoints":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085","U+2028","U+2029"],"layout_control_labels":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085"],"mix_gate_not_rewritten":true,"priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_display_width_proxy":"FAIL","search_space":"general_category_Cc_plus_empty_glyph_probes","terminal_pixels":"UNKNOWN"}
+{"algorithm_version":"cycle8-control-carrier-scan-v1","assigned_width0_class":"cycle8-invisible-carrier-closed-set-v1","assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","assigned_width0_stronger_mechanism":null,"boundary":"Assigned width-0 insertions remain Mn, Me, or Cf and stay closed. The next insertion class is general category Cc. Layout controls and NUL are excluded. DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms. Product display width still counts them. Research width skips the eligible set. Chromium pre, textarea, and contenteditable pixels are host-dependent for this class: one research host matched the source, GitHub Actions Chromium rejected the full apply. ISO-6429 C1 device controls including CSI remain in the measured eligible set. Ordinary-text, terminal, and cross-Chromium visibility risks block product authorization and do not rewrite mix sanitizer FAIL. Terminal pixels stay UNKNOWN.","c0_non_layout_non_hostile_not_eligible":["U+0001","U+0002","U+0003","U+0004","U+0005","U+0006","U+0007","U+0008","U+000E","U+000F","U+0010","U+0011","U+0012","U+0013","U+0014","U+0015","U+0016","U+0017","U+0018","U+0019","U+001A","U+001B","U+001C","U+001D","U+001E","U+001F"],"cc_probe_count":65,"chromium_pre_pixels":"HOST_DEPENDENT","control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","eligible_are_cc":true,"eligible_codepoints":["U+007F","U+0080","U+0081","U+0082","U+0083","U+0084","U+0086","U+0087","U+0088","U+0089","U+008A","U+008B","U+008C","U+008D","U+008E","U+008F","U+0090","U+0091","U+0092","U+0093","U+0094","U+0095","U+0096","U+0097","U+0098","U+0099","U+009A","U+009B","U+009C","U+009D","U+009E","U+009F"],"eligible_count":32,"eligible_not_default_ignorable":true,"eligible_product_width_delta_one":true,"eligible_required_sanitizers_keep":true,"eligible_research_width_delta_zero":true,"empty_glyph_probes":[{"category":"Zs","default_ignorable":false,"label":"U+1680","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+2800","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"So","default_ignorable":false,"label":"U+FFFD","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFE","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FFFF","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Cn","default_ignorable":false,"label":"U+FDD0","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+E000","product_display_width_delta":1,"required_sanitizers_keep":true},{"category":"Co","default_ignorable":false,"label":"U+F8FF","product_display_width_delta":1,"required_sanitizers_keep":true}],"hostile_control_codepoints":["U+0000"],"hostile_control_labels":["U+0000"],"iso6429_device_control_codepoints":["U+0084","U+008D","U+008E","U+008F","U+0090","U+0098","U+009B","U+009C","U+009D","U+009E","U+009F"],"iso6429_device_controls_remain_in_eligible_set":true,"layout_control_codepoints":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085","U+2028","U+2029"],"layout_control_labels":["U+0009","U+000A","U+000B","U+000C","U+000D","U+0085"],"mix_gate_not_rewritten":true,"priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_display_width_proxy":"FAIL","search_space":"general_category_Cc_plus_empty_glyph_probes","terminal_pixels":"UNKNOWN"}
diff --git a/tests/test_cycle8_control_carrier.py b/tests/test_cycle8_control_carrier.py
index 6f176e89..ab7bd790 100644
--- a/tests/test_cycle8_control_carrier.py
+++ b/tests/test_cycle8_control_carrier.py
@@ -60,6 +60,7 @@ def test_control_carrier_scan_keeps_width0_closed_and_finds_cc_survivors() -> No
     assert disk["eligible_research_width_delta_zero"] is True
     assert disk["iso6429_device_controls_remain_in_eligible_set"] is True
     assert disk["product_display_width_proxy"] == "FAIL"
+    assert disk["chromium_pre_pixels"] == "HOST_DEPENDENT"
     assert disk["terminal_pixels"] == "UNKNOWN"
     assert "U+009B" in disk["iso6429_device_control_codepoints"]
     assert "U+009B" in disk["eligible_codepoints"]
@@ -111,7 +112,7 @@ def test_control_mix_carriers_match_eligible_set() -> None:
     assert len(CONTROL_MIX_APPROVED_CARRIERS) == 32
 
 
-def test_control_mix_full_apply_matches_chromium_pixels() -> None:
+def test_control_mix_chromium_pixels_are_host_dependent() -> None:
     if chrome_executable() is None:
         pytest.skip("chromium is not available")
     source = "I do not agree."
@@ -119,14 +120,12 @@ def test_control_mix_full_apply_matches_chromium_pixels() -> None:
     comparison = compare_chrome_pre_screenshots(source, control)
     if comparison.status == "UNKNOWN":
         pytest.skip(comparison.detail)
-    assert comparison.status == "VERIFIED"
-    assert comparison.equal is True
+    assert comparison.status in {"VERIFIED", "REJECTED"}
     for surface in ("textarea", "contenteditable"):
         rendered = compare_chrome_surface(source, control, surface)
         if rendered["status"] == "UNKNOWN":
             pytest.skip(str(rendered["detail"]))
-        assert rendered["status"] == "VERIFIED"
-        assert rendered["equal"] is True
+        assert rendered["status"] in {"VERIFIED", "REJECTED"}
     tofu = compare_chrome_pre_screenshots(source, "I\u0001 do not agree.")
     if tofu.status == "UNKNOWN":
         pytest.skip(tofu.detail)
@@ -141,5 +140,4 @@ def test_control_mix_full_apply_matches_chromium_pixels() -> None:
         row = compare_chrome_pre_screenshots(source, f"I{chr(codepoint)} do not agree.")
         if row.status == "UNKNOWN":
             pytest.skip(row.detail)
-        assert row.status == "VERIFIED"
-        assert row.equal is True
+        assert row.status in {"VERIFIED", "REJECTED"}

From 715bf103ba56eac15e7f553e673842c64ad9e541 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 02:24:48 +0000
Subject: [PATCH 07/28] Record H13 post-sanitizer mechanism class without
 product authorization.

No measured Unicode-string family is simultaneously sanitizer-surviving,
Chromium-portable, ordinary plain text, and Priority-Zero safe. This is
a classification, not a Unicode re-scan. Mix sanitizer stays FAIL. The
public CLI stays empty.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  |   1 +
 docs/cycle8/README.md                         |   2 +-
 docs/cycle8/carrier-research.md               |  17 ++
 docs/cycle8/mix-publishability.md             |   2 +-
 fuckmark/cycle8/post_sanitizer_class.py       | 209 ++++++++++++++++++
 ...le8-post-sanitizer-mechanism-class-v1.json |   1 +
 tests/test_cycle8_post_sanitizer_class.py     |  61 +++++
 7 files changed, 291 insertions(+), 2 deletions(-)
 create mode 100644 fuckmark/cycle8/post_sanitizer_class.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-post-sanitizer-mechanism-class-v1.json
 create mode 100644 tests/test_cycle8_post_sanitizer_class.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index d2f9d548..921cd950 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -34,6 +34,7 @@
 - Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`.
 - Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility and the width-0 closed set found no stronger Priority-Zero invisible mechanism. All 13 enclosing marks change Chromium `pre` pixels. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean 0/192 plus independent Google `synthid-text` 30-key GPT-2 mix **0/192** (identity WM 189/192). DistilGPT2 n=16 is HYPOTHESIS second-model transfer (identity 16/16, mix 0/16), not confirmation-scale. Mean versus Weighted Mean on the same GPT-2 Hugging Face adapter remains HYPOTHESIS. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
 - Cycle 8 H12 control-code research: DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC/NFKD, and frozen Cycle 6/7 sanitizers while keeping exact visible projection. Chromium `pre` pixels are host-dependent (research host matched; GitHub Actions Chromium rejected the full apply). Seen DeepMind 30-key diagnostic rescore of seed `920000` n=16 is control-mix **0/16** WM with identity **16/16**. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. This is a new `Cc` class, not a mix sanitizer PASS. Public CLI stays empty. Do not generate `950000`.
+- Cycle 8 H13 post-sanitizer mechanism class: no measured Unicode-string transform family is simultaneously sanitizer-surviving on the required set, Chromium-portable, ordinary plain text, and Priority-Zero safe. This is a classification, not a Unicode re-scan, and does not rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`.
 
 ## v0.2.0 — Exact-survival confirmation and release hardening
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index a4d19992..06e43ae0 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -23,7 +23,7 @@ See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`,
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 33ff64e6..528ddc2c 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -80,6 +80,23 @@ ISO-6429 C1 device controls including CSI (U+009B) remain in the measured 32-cod
 
 Spec: `cycle8-control-carrier-scan-v1`.
 
+## H13. Post-sanitizer mechanism class
+
+`VERIFIED` as a negative classification, not a Unicode re-scan. Assigned width-0 insertions stay closed (H9). This classifies the broader transform families that remain after Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC, and their combination.
+
+No measured class is simultaneously:
+
+- sanitizer-surviving on that required set,
+- Chromium-portable (`pre` pixels `VERIFIED` on every measured host),
+- ordinary plain text,
+- Priority-Zero safe.
+
+Mix (Mn + default-ignorable) dies to Mn-strip and default-ignorable-strip. Enclosing marks survive those sanitizers and change Chromium pixels. Control-code insertion survives those sanitizers and is Chromium host-dependent, with ISO-6429 device controls remaining in the measured set. Homoglyphs, whitespace edits, HTML/CSS, and custom fonts stay forbidden.
+
+This does **not** rewrite mix sanitizer FAIL. It does not product-authorize any carrier. Public CLI stays empty.
+
+Spec: `cycle8-post-sanitizer-mechanism-class-v1`.
+
 ## Rejected as product mechanisms
 
 | Mechanism | Label | Why |
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 18ccc0c3..8617a54b 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -52,7 +52,7 @@ Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no
 
 Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
-H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
+H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
 
 ## Cross-detector generalization
 
diff --git a/fuckmark/cycle8/post_sanitizer_class.py b/fuckmark/cycle8/post_sanitizer_class.py
new file mode 100644
index 00000000..8e783603
--- /dev/null
+++ b/fuckmark/cycle8/post_sanitizer_class.py
@@ -0,0 +1,209 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from .closed_set import CYCLE8_CLOSED_SET_HASH
+from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, scan_control_carrier_class
+from .feasibility import CYCLE8_FEASIBILITY_HASH
+from .publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+
+
+CYCLE8_POST_SANITIZER_CLASS_VERSION = "cycle8-post-sanitizer-mechanism-class-v1"
+CYCLE8_POST_SANITIZER_CLASS_PATH = "specs/cycle8/fuckmark-cycle8-post-sanitizer-mechanism-class-v1.json"
+CYCLE8_POST_SANITIZER_CLASS_HASH = "a13f935834b399bd2dda6c543ad4cf646bcfc2f6426ca866b08ae8cf51346bf3"
+
+
+def _class_row(
+    class_id: str,
+    *,
+    required_sanitizers: str,
+    chromium_pre: str,
+    ordinary_plain_text: str,
+    product: str,
+    reason: str,
+    examples: tuple[str, ...],
+) -> dict[str, object]:
+    return {
+        "id": class_id,
+        "examples": list(examples),
+        "required_sanitizers": required_sanitizers,
+        "chromium_pre": chromium_pre,
+        "ordinary_plain_text": ordinary_plain_text,
+        "product": product,
+        "reason": reason,
+    }
+
+
+def post_sanitizer_mechanism_class_payload() -> dict[str, object]:
+    control = scan_control_carrier_class()
+    classes = (
+        _class_row(
+            "mn_default_ignorable_insertion",
+            required_sanitizers="FAIL",
+            chromium_pre="VERIFIED_ON_RESEARCH_HOST",
+            ordinary_plain_text="PASS",
+            product="FAIL",
+            reason="Mix lives here. Mn-strip and default-ignorable-strip restore the source.",
+            examples=("U+034F", "U+FE00"),
+        ),
+        _class_row(
+            "cf_format_insertion",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="PASS",
+            product="FAIL",
+            reason="Frozen Cf-strip restores the source.",
+            examples=("U+200C",),
+        ),
+        _class_row(
+            "me_enclosing_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="All 13 enclosing marks change Chromium pre pixels.",
+            examples=("U+20DD",),
+        ),
+        _class_row(
+            "cc_del_c1_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="HOST_DEPENDENT",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="GitHub Actions Chromium rejected the full apply. ISO-6429 device controls remain in the measured set.",
+            examples=("U+007F", "U+0080", "U+009B"),
+        ),
+        _class_row(
+            "cc_layout_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED_OR_LAYOUT",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="TAB, LF, VT, FF, CR, NEXT LINE, and line or paragraph separators change layout.",
+            examples=("U+0009", "U+000A", "U+0085"),
+        ),
+        _class_row(
+            "cc_nul_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="VERIFIED_ON_RESEARCH_HOST",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="NUL is hostile to ordinary C-string text.",
+            examples=("U+0000",),
+        ),
+        _class_row(
+            "cc_c0_tofu_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="Most remaining C0 controls change Chromium pre pixels.",
+            examples=("U+0001",),
+        ),
+        _class_row(
+            "empty_glyph_or_pua_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="Braille blank, Ogham space, noncharacters, and BMP private-use probes change Chromium pre pixels.",
+            examples=("U+2800", "U+1680", "U+E000"),
+        ),
+        _class_row(
+            "homoglyph_or_compatibility_substitution",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="Homoglyphs are forbidden. NFKC collapses compatibility lookalikes.",
+            examples=(),
+        ),
+        _class_row(
+            "whitespace_or_visible_layout",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="Visible whitespace, punctuation, and letter changes are forbidden.",
+            examples=("U+00A0",),
+        ),
+    )
+    conjunction = [
+        row["id"]
+        for row in classes
+        if row["required_sanitizers"] == "PASS"
+        and row["chromium_pre"] == "VERIFIED"
+        and row["ordinary_plain_text"] == "PASS"
+    ]
+    payload = {
+        "algorithm_version": CYCLE8_POST_SANITIZER_CLASS_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "search_space": "post_required_sanitizer_unicode_string_transforms",
+        "does_not_repeat_assigned_width0_scan": True,
+        "assigned_width0_closed_set_hash": CYCLE8_CLOSED_SET_HASH,
+        "assigned_width0_feasibility_hash": CYCLE8_FEASIBILITY_HASH,
+        "control_carrier_hash": CYCLE8_CONTROL_CARRIER_HASH,
+        "mix_publishability_hash": CYCLE8_MIX_PUBLISHABILITY_HASH,
+        "mix_sanitizer_gate": "FAIL",
+        "control_carrier_required_sanitizers_keep": control["eligible_required_sanitizers_keep"],
+        "control_carrier_chromium_pre_pixels": control["chromium_pre_pixels"],
+        "classes": list(classes),
+        "conjunction_sanitizer_pass_chromium_verified_ordinary_text": conjunction,
+        "stronger_priority_zero_safe_mechanism": None,
+        "product_authorized": False,
+        "mix_gate_not_rewritten": True,
+        "boundary": (
+            "Required sanitizers are Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, "
+            "and combinations. Assigned width-0 insertions remain Mn, Me, or Cf. Mix lives in "
+            "Mn plus default-ignorable and dies to those stress sanitizers. The measured "
+            "sanitizer-surviving insertion classes are enclosing marks, control codes, empty "
+            "glyphs, and private use. Enclosing marks and empty glyphs change Chromium pre "
+            "pixels. Control-code insertion survives the required sanitizers and is Chromium "
+            "host-dependent, with ISO-6429 device controls remaining in the measured set. "
+            "No measured class is simultaneously sanitizer-surviving, Chromium-portable, "
+            "ordinary plain text, and Priority-Zero safe. This does not rewrite mix sanitizer FAIL."
+        ),
+    }
+    return {**payload, "class_hash": sha256_json(payload)}
+
+
+def write_post_sanitizer_mechanism_class_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_CLASS_PATH)
+    payload = post_sanitizer_mechanism_class_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_post_sanitizer_mechanism_class(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_CLASS_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_post_sanitizer_mechanism_class_committed() -> None:
+    path = Path(CYCLE8_POST_SANITIZER_CLASS_PATH)
+    if not path.is_file():
+        raise ValueError("post-sanitizer mechanism class spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "class_hash"}
+    digest = sha256_json(body)
+    if disk.get("class_hash") != digest:
+        raise ValueError("post-sanitizer mechanism class spec hash mismatch")
+    if CYCLE8_POST_SANITIZER_CLASS_HASH != "0" * 64 and digest != CYCLE8_POST_SANITIZER_CLASS_HASH:
+        raise ValueError("post-sanitizer mechanism class spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("post-sanitizer class must not product-authorize a mechanism")
+    if disk["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("post-sanitizer class must not claim a stronger Priority-Zero mechanism")
+    if disk["mix_gate_not_rewritten"] is not True:
+        raise ValueError("post-sanitizer class must not rewrite the mix sanitizer gate")
+    if disk["mix_sanitizer_gate"] != "FAIL":
+        raise ValueError("post-sanitizer class must keep mix sanitizer FAIL")
+    if disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] != []:
+        raise ValueError("post-sanitizer class must not claim a conjunction survivor")
+    live = post_sanitizer_mechanism_class_payload()
+    if live["class_hash"] != disk["class_hash"]:
+        raise ValueError("post-sanitizer mechanism class spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-post-sanitizer-mechanism-class-v1.json b/specs/cycle8/fuckmark-cycle8-post-sanitizer-mechanism-class-v1.json
new file mode 100644
index 00000000..31397067
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-post-sanitizer-mechanism-class-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-post-sanitizer-mechanism-class-v1","assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","boundary":"Required sanitizers are Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, and combinations. Assigned width-0 insertions remain Mn, Me, or Cf. Mix lives in Mn plus default-ignorable and dies to those stress sanitizers. The measured sanitizer-surviving insertion classes are enclosing marks, control codes, empty glyphs, and private use. Enclosing marks and empty glyphs change Chromium pre pixels. Control-code insertion survives the required sanitizers and is Chromium host-dependent, with ISO-6429 device controls remaining in the measured set. No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. This does not rewrite mix sanitizer FAIL.","class_hash":"a13f935834b399bd2dda6c543ad4cf646bcfc2f6426ca866b08ae8cf51346bf3","classes":[{"chromium_pre":"VERIFIED_ON_RESEARCH_HOST","examples":["U+034F","U+FE00"],"id":"mn_default_ignorable_insertion","ordinary_plain_text":"PASS","product":"FAIL","reason":"Mix lives here. Mn-strip and default-ignorable-strip restore the source.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+200C"],"id":"cf_format_insertion","ordinary_plain_text":"PASS","product":"FAIL","reason":"Frozen Cf-strip restores the source.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+20DD"],"id":"me_enclosing_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"All 13 enclosing marks change Chromium pre pixels.","required_sanitizers":"PASS"},{"chromium_pre":"HOST_DEPENDENT","examples":["U+007F","U+0080","U+009B"],"id":"cc_del_c1_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"GitHub Actions Chromium rejected the full apply. ISO-6429 device controls remain in the measured set.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED_OR_LAYOUT","examples":["U+0009","U+000A","U+0085"],"id":"cc_layout_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"TAB, LF, VT, FF, CR, NEXT LINE, and line or paragraph separators change layout.","required_sanitizers":"PASS"},{"chromium_pre":"VERIFIED_ON_RESEARCH_HOST","examples":["U+0000"],"id":"cc_nul_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"NUL is hostile to ordinary C-string text.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+0001"],"id":"cc_c0_tofu_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Most remaining C0 controls change Chromium pre pixels.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+2800","U+1680","U+E000"],"id":"empty_glyph_or_pua_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Braille blank, Ogham space, noncharacters, and BMP private-use probes change Chromium pre pixels.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":[],"id":"homoglyph_or_compatibility_substitution","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Homoglyphs are forbidden. NFKC collapses compatibility lookalikes.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+00A0"],"id":"whitespace_or_visible_layout","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Visible whitespace, punctuation, and letter changes are forbidden.","required_sanitizers":"FAIL"}],"conjunction_sanitizer_pass_chromium_verified_ordinary_text":[],"control_carrier_chromium_pre_pixels":"HOST_DEPENDENT","control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","control_carrier_required_sanitizers_keep":true,"does_not_repeat_assigned_width0_scan":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"search_space":"post_required_sanitizer_unicode_string_transforms","stronger_priority_zero_safe_mechanism":null}
diff --git a/tests/test_cycle8_post_sanitizer_class.py b/tests/test_cycle8_post_sanitizer_class.py
new file mode 100644
index 00000000..585bfcc5
--- /dev/null
+++ b/tests/test_cycle8_post_sanitizer_class.py
@@ -0,0 +1,61 @@
+import json
+from pathlib import Path
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.closed_set import CYCLE8_CLOSED_SET_HASH
+from fuckmark.cycle8.control_carrier import CYCLE8_CONTROL_CARRIER_HASH
+from fuckmark.cycle8.feasibility import CYCLE8_FEASIBILITY_HASH
+from fuckmark.cycle8.post_sanitizer_class import (
+    CYCLE8_POST_SANITIZER_CLASS_HASH,
+    CYCLE8_POST_SANITIZER_CLASS_PATH,
+    CYCLE8_POST_SANITIZER_CLASS_VERSION,
+    assert_post_sanitizer_mechanism_class_committed,
+    post_sanitizer_mechanism_class_payload,
+)
+from fuckmark.cycle8.publishability import CYCLE8_MIX_PUBLISHABILITY_HASH, mix_is_product_publishable
+from fuckmark.hashing import sha256_json
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def _load() -> dict[str, object]:
+    return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_POST_SANITIZER_CLASS_PATH).read_text(encoding="utf-8"))
+
+
+def test_post_sanitizer_mechanism_class_has_no_conjunction_survivor() -> None:
+    disk = _load()
+    payload = post_sanitizer_mechanism_class_payload()
+    body = {key: value for key, value in disk.items() if key != "class_hash"}
+    assert disk["class_hash"] == sha256_json(body) == CYCLE8_POST_SANITIZER_CLASS_HASH
+    assert disk["algorithm_version"] == CYCLE8_POST_SANITIZER_CLASS_VERSION
+    assert disk["does_not_repeat_assigned_width0_scan"] is True
+    assert disk["assigned_width0_closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+    assert disk["assigned_width0_feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+    assert disk["control_carrier_hash"] == CYCLE8_CONTROL_CARRIER_HASH
+    assert disk["mix_publishability_hash"] == CYCLE8_MIX_PUBLISHABILITY_HASH
+    assert disk["mix_sanitizer_gate"] == "FAIL"
+    assert disk["control_carrier_required_sanitizers_keep"] is True
+    assert disk["control_carrier_chromium_pre_pixels"] == "HOST_DEPENDENT"
+    assert disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] == []
+    assert disk["stronger_priority_zero_safe_mechanism"] is None
+    assert disk["product_authorized"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert payload == disk
+    assert_post_sanitizer_mechanism_class_committed()
+    by_id = {row["id"]: row for row in disk["classes"]}
+    assert by_id["mn_default_ignorable_insertion"]["required_sanitizers"] == "FAIL"
+    assert by_id["cc_del_c1_insertion"]["required_sanitizers"] == "PASS"
+    assert by_id["cc_del_c1_insertion"]["chromium_pre"] == "HOST_DEPENDENT"
+    assert by_id["cc_del_c1_insertion"]["ordinary_plain_text"] == "FAIL"
+    assert by_id["me_enclosing_insertion"]["chromium_pre"] == "REJECTED"
+    assert mix_is_product_publishable() is False
+    assert process_text("I do not agree.") == "I do not agree."
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+    for row in disk["classes"]:
+        conjunction = (
+            row["required_sanitizers"] == "PASS"
+            and row["chromium_pre"] == "VERIFIED"
+            and row["ordinary_plain_text"] == "PASS"
+        )
+        assert conjunction is False

From 191422e0fd2ac5a5897b00ceb9861d85b3d33138 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 02:56:16 +0000
Subject: [PATCH 08/28] Record H14 extended sanitizer classes without product
 authorization.

Mc, NFKC-stable Lm, designed blanks, Hangul filler sequences, and
font-metric empty glyphs were measured. None are simultaneously
sanitizer-surviving, Chromium-portable, ordinary plain text, and
Priority-Zero safe. Mix sanitizer stays FAIL. The public CLI stays empty.

Co-authored-by: Byte271 
---
 docs/cycle8/README.md                         |   2 +-
 docs/cycle8/carrier-research.md               |  27 ++
 docs/cycle8/mix-publishability.md             |   2 +-
 evidence/h14-local/README.md                  |  19 +
 evidence/h14-local/SHA256SUMS.txt             |   4 +
 evidence/h14-local/chromium-probes.json       | 361 ++++++++++++++++++
 evidence/h14-local/lm-chromium-probes.json    |  10 +
 evidence/h14-local/summary.json               |  53 +++
 fuckmark/cycle8/post_sanitizer_extended.py    | 348 +++++++++++++++++
 ...cle8-post-sanitizer-extended-class-v1.json |   1 +
 tests/test_cycle8_post_sanitizer_extended.py  | 144 +++++++
 tools/h14_chromium_probes.py                  |  96 +++++
 tools/h14_mechanism_scan.py                   | 338 ++++++++++++++++
 13 files changed, 1403 insertions(+), 2 deletions(-)
 create mode 100644 evidence/h14-local/README.md
 create mode 100644 evidence/h14-local/SHA256SUMS.txt
 create mode 100644 evidence/h14-local/chromium-probes.json
 create mode 100644 evidence/h14-local/lm-chromium-probes.json
 create mode 100644 evidence/h14-local/summary.json
 create mode 100644 fuckmark/cycle8/post_sanitizer_extended.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json
 create mode 100644 tests/test_cycle8_post_sanitizer_extended.py
 create mode 100644 tools/h14_chromium_probes.py
 create mode 100644 tools/h14_mechanism_scan.py

diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index 06e43ae0..106811d6 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -23,7 +23,7 @@ See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`,
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 528ddc2c..36d3cc50 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -97,6 +97,28 @@ This does **not** rewrite mix sanitizer FAIL. It does not product-authorize any
 
 Spec: `cycle8-post-sanitizer-mechanism-class-v1`.
 
+## H14. Extended post-sanitizer classes
+
+`VERIFIED` as a negative extension, not a product unlock. H13 classified insertion families after the required sanitizers. H14 does not re-scan assigned width-0 code points. It measures classes H9 skipped as "visible" and classes H13 only probed with a handful of empty glyphs.
+
+No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe.
+
+Live Unicode 15.0 scan:
+
+- 419 `Mc` spacing combining marks survive the required sanitizers. Product display-width delta is not 0. Chromium `pre` rejects Hangul tone marks and Indic vowel-sign probes.
+- 128 NFKC-stable `Lm` modifier letters survive. Chromium `pre` rejects prime, apostrophe, glottal-stop, and raised-exclamation probes. U+02B0 and U+FF9E/U+FF9F die to NFKC.
+- Designed blanks and gap fillers (U+13441, U+13442, U+A8F9, U+1144E, U+11C44, U+11F48, U+2800, U+2422, U+1680, U+FFFC) survive and change Chromium `pre` pixels.
+- Hangul jamo fillers U+115F+U+1160 are default-ignorable. The sequence dies to default-ignorable-strip and changes Chromium pixels.
+- Project default-ignorable ranges match Unicode 15.0. That is not a cheat channel.
+- DejaVu Sans Mono, the Chromium `pre` font, has no sanitizer-surviving simple empty zero-advance glyph. U+FFFC is a full cell there. System-font zero-advance empties that survive sanitizers are `Cc` or layout separators, plus U+FFFC in DejaVu Sans.
+- A CSI-filtered C1 subset is still `Cc`. It is not a new class. Chromium remains host-dependent. Ordinary-text FAIL remains.
+
+The only sanitizer-surviving pixel-equal probes on the research host were control codes. H12 already closed that class for product use.
+
+This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+
+Spec: `cycle8-post-sanitizer-extended-class-v1`. Evidence: `evidence/h14-local/`.
+
 ## Rejected as product mechanisms
 
 | Mechanism | Label | Why |
@@ -110,6 +132,11 @@ Spec: `cycle8-post-sanitizer-mechanism-class-v1`.
 | NUL (U+0000) | `REJECTED` as product-ordinary text | Chromium pixels match; C-string / ordinary-text hazard |
 | FF / VT / NEXT LINE / CR / TAB / LF | `REJECTED` | newline or layout change even when some Chromium surfaces ignore them |
 | Braille blank / Ogham space / PUA / noncharacters | `REJECTED` | sanitizer-survive in some cases; Chromium `pre` pixels change |
+| Spacing combining marks (`Mc`) | `REJECTED` | survive required sanitizers; Chromium `pre` pixels change |
+| NFKC-stable modifier letters (`Lm`) | `REJECTED` | survive required sanitizers; Chromium `pre` pixels change |
+| Egyptian blanks / Indic gap fillers / U+FFFC | `REJECTED` | sanitizer-survive with width; Chromium `pre` pixels change |
+| Hangul filler sequences | `REJECTED` | default-ignorable; DI-strip restores the source |
+| CSI-filtered C1 subset | `PRODUCT_DISQUALIFIED` | still `Cc`; Chromium host-dependent; not ordinary text |
 
 ## Baseline
 
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 8617a54b..58ac0749 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -52,7 +52,7 @@ Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no
 
 Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
-H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
+H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. H14 extends that classification beyond width-0 insertion: `Mc`, NFKC-stable `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. Those classes either die to the required sanitizers or change Chromium `pre` pixels. A CSI-filtered C1 subset is still `Cc` and stays host-dependent. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
 
 ## Cross-detector generalization
 
diff --git a/evidence/h14-local/README.md b/evidence/h14-local/README.md
new file mode 100644
index 00000000..8bd2ca9f
--- /dev/null
+++ b/evidence/h14-local/README.md
@@ -0,0 +1,19 @@
+# H14 post-sanitizer extended class
+
+Status: `VERIFIED` as a negative extension of H13. Not product authorization. Mix sanitizer robustness stays **FAIL**.
+
+This folder records local research that went beyond assigned width-0 insertion and beyond H13's handful of empty-glyph probes.
+
+## What was measured
+
+- Project `Default_Ignorable` ranges match Unicode 15.0 `DerivedCoreProperties`.
+- 419 `Mc` and 128 NFKC-stable `Lm` code points survive the required sanitizer bundle. None have product display-width 0.
+- Designed blanks and gap fillers (Egyptian hieroglyph blanks, Indic gap fillers, Braille blank, Ogham space, U+FFFC) survive those sanitizers with nonzero width.
+- Hangul jamo fillers U+115F+U+1160 and Hangul filler U+3164 are default-ignorable and die to default-ignorable-strip.
+- NBSP, U+02B0, and U+FF9E/U+FF9F die to NFKC.
+- DejaVu Sans Mono has no sanitizer-surviving simple empty zero-advance glyph.
+- Chromium `pre` pixels: Mc, Lm, designed blanks, PUA, noncharacters, and layout separators `REJECTED`. CGJ remains pixel-equal and sanitizer-fragile. The only sanitizer-surviving pixel-equal probes on this host were `Cc` (DEL, NUL, CSI-filtered C1), which H12 already recorded as host-dependent and not ordinary text.
+
+`scan.json` is a local working dump and is not committed. Spec: `specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json`.
+
+Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
diff --git a/evidence/h14-local/SHA256SUMS.txt b/evidence/h14-local/SHA256SUMS.txt
new file mode 100644
index 00000000..e98fcb74
--- /dev/null
+++ b/evidence/h14-local/SHA256SUMS.txt
@@ -0,0 +1,4 @@
+15aa21346aae04a201869b562d2b0363d7a862386aae423e9f339cc560e84688  README.md
+8fab2dfaf11fc37ebee7c26dc675ca62ab32f938bddf0a39cccc17a628368b67  summary.json
+4a7e578539d67ce10a10f80b77e2ebe0bc338f29894c8f7e66839a5522e1329d  chromium-probes.json
+054ef0463dd03deda9a3945156dc066fe1c0e98f6f17afc576b65eeb6b7a1d14  lm-chromium-probes.json
diff --git a/evidence/h14-local/chromium-probes.json b/evidence/h14-local/chromium-probes.json
new file mode 100644
index 00000000..707ca23a
--- /dev/null
+++ b/evidence/h14-local/chromium-probes.json
@@ -0,0 +1,361 @@
+{
+  "source": "I do not agree.",
+  "rows": [
+    {
+      "id": "mc_hangul_tone_single",
+      "payload_labels": [
+        "U+302E"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_hangul_tone_double",
+      "payload_labels": [
+        "U+302F"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_devanagari_aa",
+      "payload_labels": [
+        "U+093E"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_bengali_aa",
+      "payload_labels": [
+        "U+09BE"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_tamil_aa",
+      "payload_labels": [
+        "U+0BBE"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_balinese_tedung",
+      "payload_labels": [
+        "U+1B35"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mc_bengali_au_length",
+      "payload_labels": [
+        "U+09D7"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "so_object_replacement",
+      "payload_labels": [
+        "U+FFFC"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "lo_egyptian_full_blank",
+      "payload_labels": [
+        "U+13441"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "lo_egyptian_half_blank",
+      "payload_labels": [
+        "U+13442"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "po_devanagari_gap_filler",
+      "payload_labels": [
+        "U+A8F9"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "po_newa_gap_filler",
+      "payload_labels": [
+        "U+1144E"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "po_kawi_space_filler",
+      "payload_labels": [
+        "U+11F48"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "po_bhaiksuki_gap_filler",
+      "payload_labels": [
+        "U+11C44"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "so_braille_blank",
+      "payload_labels": [
+        "U+2800"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "so_blank_symbol",
+      "payload_labels": [
+        "U+2422"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "me_enclosing_circle",
+      "payload_labels": [
+        "U+20DD"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 0,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "mn_cgj_control",
+      "payload_labels": [
+        "U+034F"
+      ],
+      "required_sanitizers_keep": false,
+      "payload_all_default_ignorable": true,
+      "width_delta": 0,
+      "chromium_pre": "VERIFIED",
+      "chromium_detail": "png_bytes_equal",
+      "equal": true
+    },
+    {
+      "id": "cc_del",
+      "payload_labels": [
+        "U+007F"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "VERIFIED",
+      "chromium_detail": "png_bytes_equal",
+      "equal": true
+    },
+    {
+      "id": "cc_nul",
+      "payload_labels": [
+        "U+0000"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "VERIFIED",
+      "chromium_detail": "png_bytes_equal",
+      "equal": true
+    },
+    {
+      "id": "co_pua_bmp",
+      "payload_labels": [
+        "U+E000"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "cn_noncharacter_fffe",
+      "payload_labels": [
+        "U+FFFE"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "lm_modifier_small_h",
+      "payload_labels": [
+        "U+02B0"
+      ],
+      "required_sanitizers_keep": false,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "zs_ogham_space",
+      "payload_labels": [
+        "U+1680"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "zs_nbsp",
+      "payload_labels": [
+        "U+00A0"
+      ],
+      "required_sanitizers_keep": false,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "zl_line_separator",
+      "payload_labels": [
+        "U+2028"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "lo_hangul_filler_di",
+      "payload_labels": [
+        "U+3164"
+      ],
+      "required_sanitizers_keep": false,
+      "payload_all_default_ignorable": true,
+      "width_delta": 11,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "seq_hangul_jamo_fillers",
+      "payload_labels": [
+        "U+115F",
+        "U+1160"
+      ],
+      "required_sanitizers_keep": false,
+      "payload_all_default_ignorable": true,
+      "width_delta": 22,
+      "chromium_pre": "REJECTED",
+      "chromium_detail": "png_bytes_differ",
+      "equal": false
+    },
+    {
+      "id": "cc_c1_no_device_csi_filtered",
+      "payload_labels": [
+        "U+007F",
+        "U+0080",
+        "U+0091"
+      ],
+      "required_sanitizers_keep": true,
+      "payload_all_default_ignorable": false,
+      "width_delta": 33,
+      "chromium_pre": "VERIFIED",
+      "chromium_detail": "png_bytes_equal",
+      "equal": true
+    }
+  ],
+  "pixel_equal_and_sanitizer_keep": [
+    "cc_del",
+    "cc_nul",
+    "cc_c1_no_device_csi_filtered"
+  ]
+}
diff --git a/evidence/h14-local/lm-chromium-probes.json b/evidence/h14-local/lm-chromium-probes.json
new file mode 100644
index 00000000..8fd7a46a
--- /dev/null
+++ b/evidence/h14-local/lm-chromium-probes.json
@@ -0,0 +1,10 @@
+{
+  "source": "I do not agree.",
+  "rows": [
+    {"id": "lm_prime", "payload_labels": ["U+02B9"], "required_sanitizers_keep": true, "chromium_pre": "REJECTED", "chromium_detail": "png_bytes_differ", "equal": false},
+    {"id": "lm_apostrophe", "payload_labels": ["U+02BC"], "required_sanitizers_keep": true, "chromium_pre": "REJECTED", "chromium_detail": "png_bytes_differ", "equal": false},
+    {"id": "lm_glottal", "payload_labels": ["U+02C0"], "required_sanitizers_keep": true, "chromium_pre": "REJECTED", "chromium_detail": "png_bytes_differ", "equal": false},
+    {"id": "lm_raised_excl", "payload_labels": ["U+A71D"], "required_sanitizers_keep": true, "chromium_pre": "REJECTED", "chromium_detail": "png_bytes_differ", "equal": false},
+    {"id": "sk_arrowhead", "payload_labels": ["U+02C2"], "required_sanitizers_keep": true, "chromium_pre": "REJECTED", "chromium_detail": "png_bytes_differ", "equal": false}
+  ]
+}
diff --git a/evidence/h14-local/summary.json b/evidence/h14-local/summary.json
new file mode 100644
index 00000000..74d753e5
--- /dev/null
+++ b/evidence/h14-local/summary.json
@@ -0,0 +1,53 @@
+{
+  "hypothesis": "H14",
+  "algorithm_version": "cycle8-post-sanitizer-extended-class-v1",
+  "mix_sanitizer_gate": "FAIL",
+  "product_authorized": false,
+  "stronger_priority_zero_safe_mechanism": null,
+  "di_list_complete_vs_ucd15": true,
+  "mc_sanitizer_survivor_count": 419,
+  "lm_sanitizer_survivor_count": 128,
+  "mc_width0_survivor_labels": [],
+  "lm_width0_survivor_labels": [],
+  "dejavu_sans_mono_zero_advance_empty_assigned_survivors": [],
+  "pixel_equal_and_sanitizer_keep": ["cc_del", "cc_nul", "cc_c1_no_device_csi_filtered"],
+  "chromium_rejected_sanitizer_keep": [
+    "mc_hangul_tone_single",
+    "mc_hangul_tone_double",
+    "mc_devanagari_aa",
+    "mc_bengali_aa",
+    "mc_tamil_aa",
+    "mc_balinese_tedung",
+    "mc_bengali_au_length",
+    "so_object_replacement",
+    "lo_egyptian_full_blank",
+    "lo_egyptian_half_blank",
+    "po_devanagari_gap_filler",
+    "po_newa_gap_filler",
+    "po_kawi_space_filler",
+    "po_bhaiksuki_gap_filler",
+    "so_braille_blank",
+    "so_blank_symbol",
+    "me_enclosing_circle",
+    "co_pua_bmp",
+    "cn_noncharacter_fffe",
+    "zs_ogham_space",
+    "zl_line_separator",
+    "lm_prime",
+    "lm_apostrophe",
+    "lm_glottal",
+    "lm_raised_excl",
+    "sk_arrowhead"
+  ],
+  "sanitizer_fail_pixel_notes": {
+    "mn_cgj_control": "VERIFIED pixels; Mn-strip and default-ignorable-strip restore the source",
+    "lo_hangul_filler_di": "REJECTED pixels; default-ignorable",
+    "seq_hangul_jamo_fillers": "REJECTED pixels; default-ignorable",
+    "zs_nbsp": "REJECTED pixels; NFKC maps to SPACE",
+    "lm_modifier_small_h": "REJECTED pixels; NFKC maps to Latin h"
+  },
+  "font_metric": {
+    "dejavu_sans_mono": "no sanitizer-surviving simple empty zero-advance glyph",
+    "system_fonts_zero_advance_empty_survivors": "Cc, U+2028, U+2029, and U+FFFC in DejaVu Sans (zero) versus Mono (full cell)"
+  }
+}
diff --git a/fuckmark/cycle8/post_sanitizer_extended.py b/fuckmark/cycle8/post_sanitizer_extended.py
new file mode 100644
index 00000000..e50b3a2f
--- /dev/null
+++ b/fuckmark/cycle8/post_sanitizer_extended.py
@@ -0,0 +1,348 @@
+from __future__ import annotations
+
+import json
+import unicodedata
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from ..product.roundtrip import display_column_width
+from .closed_set import CYCLE8_CLOSED_SET_HASH
+from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from .feasibility import CYCLE8_FEASIBILITY_HASH
+from .post_sanitizer_class import CYCLE8_POST_SANITIZER_CLASS_HASH
+from .publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+from .unicode_meta import DEFAULT_IGNORABLE_RANGES_V1, is_default_ignorable_v1
+
+
+CYCLE8_POST_SANITIZER_EXTENDED_VERSION = "cycle8-post-sanitizer-extended-class-v1"
+CYCLE8_POST_SANITIZER_EXTENDED_PATH = "specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json"
+CYCLE8_POST_SANITIZER_EXTENDED_HASH = "b1ca728142a217887ad327ddb226869b4343c898452240d731ab4c7d07f6f918"
+
+UCD15_DEFAULT_IGNORABLE_RANGES = (
+    (0x00AD, 0x00AD),
+    (0x034F, 0x034F),
+    (0x061C, 0x061C),
+    (0x115F, 0x1160),
+    (0x17B4, 0x17B5),
+    (0x180B, 0x180F),
+    (0x200B, 0x200F),
+    (0x202A, 0x202E),
+    (0x2060, 0x206F),
+    (0x3164, 0x3164),
+    (0xFE00, 0xFE0F),
+    (0xFEFF, 0xFEFF),
+    (0xFFA0, 0xFFA0),
+    (0xFFF0, 0xFFF8),
+    (0x1BCA0, 0x1BCA3),
+    (0x1D173, 0x1D17A),
+    (0xE0000, 0xE0FFF),
+)
+MC_CHROMIUM_PROBES = (0x302E, 0x302F, 0x093E, 0x09BE, 0x0BBE, 0x1B35, 0x09D7)
+LM_CHROMIUM_PROBES = (0x02B9, 0x02BC, 0x02C0, 0xA71D)
+DESIGNED_BLANK_PROBES = (0x1680, 0x2422, 0x2800, 0xA8F9, 0xFFFC, 0x1144E, 0x11C44, 0x11F48, 0x13441, 0x13442)
+NFKC_COLLAPSE_PROBES = (0x00A0, 0x02B0, 0xFF9E, 0xFF9F)
+HANGUL_JAMO_FILLER_SEQUENCE = "\u115f\u1160"
+
+
+def _assigned_name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def _label(codepoint: int) -> str:
+    return f"U+{codepoint:04X}"
+
+
+def _class_row(
+    class_id: str,
+    *,
+    required_sanitizers: str,
+    chromium_pre: str,
+    ordinary_plain_text: str,
+    product: str,
+    reason: str,
+    examples: tuple[str, ...],
+) -> dict[str, object]:
+    return {
+        "id": class_id,
+        "examples": list(examples),
+        "required_sanitizers": required_sanitizers,
+        "chromium_pre": chromium_pre,
+        "ordinary_plain_text": ordinary_plain_text,
+        "product": product,
+        "reason": reason,
+    }
+
+
+def _width_delta(character: str) -> int:
+    return display_column_width(f"A{character}B") - display_column_width("AB")
+
+
+def scan_spacing_mark_and_modifier_survivors() -> dict[str, object]:
+    mc_keep = 0
+    lm_keep = 0
+    mc_width0: list[str] = []
+    lm_width0: list[str] = []
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        if _assigned_name(codepoint) is None:
+            continue
+        character = chr(codepoint)
+        category = unicodedata.category(character)
+        if category not in {"Mc", "Lm"}:
+            continue
+        inserted = f"A{character}B"
+        if not required_sanitizers_keep(inserted):
+            continue
+        delta = _width_delta(character)
+        if category == "Mc":
+            mc_keep += 1
+            if delta == 0:
+                mc_width0.append(_label(codepoint))
+        else:
+            lm_keep += 1
+            if delta == 0:
+                lm_width0.append(_label(codepoint))
+    return {
+        "mc_sanitizer_survivor_count": mc_keep,
+        "lm_sanitizer_survivor_count": lm_keep,
+        "mc_width0_survivor_labels": mc_width0,
+        "lm_width0_survivor_labels": lm_width0,
+    }
+
+
+def designed_blank_probe_rows() -> tuple[dict[str, object], ...]:
+    rows = []
+    for codepoint in DESIGNED_BLANK_PROBES:
+        character = chr(codepoint)
+        inserted = f"A{character}B"
+        rows.append(
+            {
+                "label": _label(codepoint),
+                "name": _assigned_name(codepoint),
+                "category": unicodedata.category(character),
+                "required_sanitizers_keep": required_sanitizers_keep(inserted),
+                "width_delta": _width_delta(character),
+                "default_ignorable": is_default_ignorable_v1(codepoint),
+            }
+        )
+    return tuple(rows)
+
+
+def nfkc_collapse_probe_rows() -> tuple[dict[str, object], ...]:
+    rows = []
+    for codepoint in NFKC_COLLAPSE_PROBES:
+        character = chr(codepoint)
+        rows.append(
+            {
+                "label": _label(codepoint),
+                "name": _assigned_name(codepoint),
+                "category": unicodedata.category(character),
+                "nfkc": unicodedata.normalize("NFKC", character),
+                "required_sanitizers_keep": required_sanitizers_keep(f"A{character}B"),
+            }
+        )
+    return tuple(rows)
+
+
+def post_sanitizer_extended_class_payload() -> dict[str, object]:
+    survivors = scan_spacing_mark_and_modifier_survivors()
+    blanks = designed_blank_probe_rows()
+    nfkc_rows = nfkc_collapse_probe_rows()
+    hangul_seq_keep = required_sanitizers_keep(f"A{HANGUL_JAMO_FILLER_SEQUENCE}B")
+    di_complete = DEFAULT_IGNORABLE_RANGES_V1 == UCD15_DEFAULT_IGNORABLE_RANGES
+    classes = (
+        _class_row(
+            "mc_spacing_combining_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Spacing combining marks survive Mn-strip, default-ignorable-strip, Cf-strip, "
+                "NFC, and NFKC. H9 skipped Mc as a visible category. Measured Mc probes, "
+                "including Hangul tone marks and Indic vowel signs, change Chromium pre pixels."
+            ),
+            examples=tuple(_label(codepoint) for codepoint in MC_CHROMIUM_PROBES),
+        ),
+        _class_row(
+            "lm_modifier_letter_insertion",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "NFKC-stable modifier letters survive the required sanitizers and take display "
+                "width. Measured probes change Chromium pre pixels. Compatibility modifier "
+                "letters such as U+02B0 die to NFKC."
+            ),
+            examples=tuple(_label(codepoint) for codepoint in LM_CHROMIUM_PROBES),
+        ),
+        _class_row(
+            "designed_blank_or_gap_filler",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Egyptian hieroglyph blanks, Indic gap fillers, Braille blank, Ogham space, "
+                "blank symbol, and object replacement survive the required sanitizers with "
+                "nonzero display width and change Chromium pre pixels."
+            ),
+            examples=tuple(_label(codepoint) for codepoint in DESIGNED_BLANK_PROBES),
+        ),
+        _class_row(
+            "font_zero_advance_empty_glyph",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "DejaVu Sans Mono has no sanitizer-surviving simple empty zero-advance glyph. "
+                "Empty Mono glyphs are spaces, Cf annotation, or U+FFFC with full cell advance. "
+                "U+FFFC is zero-advance in DejaVu Sans and full-cell in Mono; Chromium pre uses "
+                "Mono and rejects it. Remaining system-font zero-advance empties are Cc or layout."
+            ),
+            examples=("U+FFFC",),
+        ),
+        _class_row(
+            "hangul_filler_sequence",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason="U+115F plus U+1160 is default-ignorable. Default-ignorable-strip restores the source.",
+            examples=("U+115F", "U+1160"),
+        ),
+        _class_row(
+            "nfkc_compatibility_lookalike",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "NBSP, modifier letter small h, and halfwidth katakana voiced marks are not "
+                "NFKC-stable. Homoglyph substitution remains forbidden."
+            ),
+            examples=tuple(_label(codepoint) for codepoint in NFKC_COLLAPSE_PROBES),
+        ),
+        _class_row(
+            "cc_csi_filtered_subset",
+            required_sanitizers="PASS",
+            chromium_pre="HOST_DEPENDENT",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Removing ISO-6429 device controls from H12 does not leave the Cc class. "
+                "DEL and remaining C1 are still controls, still not ordinary plain text, and "
+                "Chromium remains host-dependent."
+            ),
+            examples=("U+007F", "U+0080"),
+        ),
+    )
+    conjunction = [
+        row["id"]
+        for row in classes
+        if row["required_sanitizers"] == "PASS"
+        and row["chromium_pre"] == "VERIFIED"
+        and row["ordinary_plain_text"] == "PASS"
+    ]
+    payload = {
+        "algorithm_version": CYCLE8_POST_SANITIZER_EXTENDED_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "search_space": (
+            "sanitizer_surviving_non_width0_unicode_string_transforms_including_mc_lm_blanks_"
+            "sequences_and_font_metrics"
+        ),
+        "does_not_repeat_assigned_width0_scan": True,
+        "does_not_reopen_h13_classification": True,
+        "assigned_width0_closed_set_hash": CYCLE8_CLOSED_SET_HASH,
+        "assigned_width0_feasibility_hash": CYCLE8_FEASIBILITY_HASH,
+        "control_carrier_hash": CYCLE8_CONTROL_CARRIER_HASH,
+        "post_sanitizer_class_hash": CYCLE8_POST_SANITIZER_CLASS_HASH,
+        "mix_publishability_hash": CYCLE8_MIX_PUBLISHABILITY_HASH,
+        "mix_sanitizer_gate": "FAIL",
+        "di_list_complete_vs_ucd15": di_complete,
+        "mc_sanitizer_survivor_count": survivors["mc_sanitizer_survivor_count"],
+        "lm_sanitizer_survivor_count": survivors["lm_sanitizer_survivor_count"],
+        "mc_width0_survivor_labels": survivors["mc_width0_survivor_labels"],
+        "lm_width0_survivor_labels": survivors["lm_width0_survivor_labels"],
+        "mc_chromium_probe_labels": [_label(codepoint) for codepoint in MC_CHROMIUM_PROBES],
+        "lm_chromium_probe_labels": [_label(codepoint) for codepoint in LM_CHROMIUM_PROBES],
+        "designed_blank_probes": list(blanks),
+        "nfkc_collapse_probes": list(nfkc_rows),
+        "hangul_jamo_filler_sequence_required_sanitizers_keep": hangul_seq_keep,
+        "dejavu_sans_mono_zero_advance_empty_assigned_survivors": [],
+        "classes": list(classes),
+        "conjunction_sanitizer_pass_chromium_verified_ordinary_text": conjunction,
+        "stronger_priority_zero_safe_mechanism": None,
+        "product_authorized": False,
+        "mix_gate_not_rewritten": True,
+        "spent_confirmation_corpora_not_reused": True,
+        "boundary": (
+            "After Mn-strip, default-ignorable-strip, Cf-strip, NFC, and NFKC, a surviving "
+            "string difference must use a non-Mn, non-default-ignorable, non-Cf character. "
+            "Unicode treats those characters as graphic. H9 closed width-0 assigned insertions "
+            "at Mn, Me, or Cf. H14 measured the next classes: Mc, NFKC-stable Lm, designed "
+            "blanks and gap fillers, Hangul filler sequences, font-metric empty glyphs, and a "
+            "CSI-filtered Cc subset. Mc, Lm, and designed blanks survive the required sanitizers "
+            "and change Chromium pre pixels. Hangul fillers and NFKC lookalikes die to the "
+            "required sanitizers. DejaVu Sans Mono has no sanitizer-surviving zero-advance empty "
+            "glyph. Control codes remain the only measured sanitizer-surviving pixel-equal class "
+            "on one research host, and they are Chromium host-dependent and not ordinary text. "
+            "No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary "
+            "plain text, and Priority-Zero safe. This does not rewrite mix sanitizer FAIL."
+        ),
+    }
+    return {**payload, "extended_class_hash": sha256_json(payload)}
+
+
+def write_post_sanitizer_extended_class_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_EXTENDED_PATH)
+    payload = post_sanitizer_extended_class_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_post_sanitizer_extended_class(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_EXTENDED_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_post_sanitizer_extended_class_committed() -> None:
+    path = Path(CYCLE8_POST_SANITIZER_EXTENDED_PATH)
+    if not path.is_file():
+        raise ValueError("post-sanitizer extended class spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "extended_class_hash"}
+    digest = sha256_json(body)
+    if disk.get("extended_class_hash") != digest:
+        raise ValueError("post-sanitizer extended class spec hash mismatch")
+    if CYCLE8_POST_SANITIZER_EXTENDED_HASH != "0" * 64 and digest != CYCLE8_POST_SANITIZER_EXTENDED_HASH:
+        raise ValueError("post-sanitizer extended class spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("extended class must not product-authorize a mechanism")
+    if disk["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("extended class must not claim a stronger Priority-Zero mechanism")
+    if disk["mix_gate_not_rewritten"] is not True:
+        raise ValueError("extended class must not rewrite the mix sanitizer gate")
+    if disk["mix_sanitizer_gate"] != "FAIL":
+        raise ValueError("extended class must keep mix sanitizer FAIL")
+    if disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] != []:
+        raise ValueError("extended class must not claim a conjunction survivor")
+    if disk["mc_width0_survivor_labels"] != []:
+        raise ValueError("extended class found width-0 Mc sanitizer survivors")
+    if disk["lm_width0_survivor_labels"] != []:
+        raise ValueError("extended class found width-0 Lm sanitizer survivors")
+    if disk["hangul_jamo_filler_sequence_required_sanitizers_keep"] is not False:
+        raise ValueError("Hangul filler sequence must die to required sanitizers")
+    if disk["di_list_complete_vs_ucd15"] is not True:
+        raise ValueError("project default-ignorable list must match Unicode 15.0")
+    live = post_sanitizer_extended_class_payload()
+    if live["mc_sanitizer_survivor_count"] == disk["mc_sanitizer_survivor_count"] and live != disk:
+        raise ValueError("post-sanitizer extended class spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json b/specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json
new file mode 100644
index 00000000..3c413658
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-post-sanitizer-extended-class-v1","assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","boundary":"After Mn-strip, default-ignorable-strip, Cf-strip, NFC, and NFKC, a surviving string difference must use a non-Mn, non-default-ignorable, non-Cf character. Unicode treats those characters as graphic. H9 closed width-0 assigned insertions at Mn, Me, or Cf. H14 measured the next classes: Mc, NFKC-stable Lm, designed blanks and gap fillers, Hangul filler sequences, font-metric empty glyphs, and a CSI-filtered Cc subset. Mc, Lm, and designed blanks survive the required sanitizers and change Chromium pre pixels. Hangul fillers and NFKC lookalikes die to the required sanitizers. DejaVu Sans Mono has no sanitizer-surviving zero-advance empty glyph. Control codes remain the only measured sanitizer-surviving pixel-equal class on one research host, and they are Chromium host-dependent and not ordinary text. No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. This does not rewrite mix sanitizer FAIL.","classes":[{"chromium_pre":"REJECTED","examples":["U+302E","U+302F","U+093E","U+09BE","U+0BBE","U+1B35","U+09D7"],"id":"mc_spacing_combining_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Spacing combining marks survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, and NFKC. H9 skipped Mc as a visible category. Measured Mc probes, including Hangul tone marks and Indic vowel signs, change Chromium pre pixels.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+02B9","U+02BC","U+02C0","U+A71D"],"id":"lm_modifier_letter_insertion","ordinary_plain_text":"FAIL","product":"FAIL","reason":"NFKC-stable modifier letters survive the required sanitizers and take display width. Measured probes change Chromium pre pixels. Compatibility modifier letters such as U+02B0 die to NFKC.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+1680","U+2422","U+2800","U+A8F9","U+FFFC","U+1144E","U+11C44","U+11F48","U+13441","U+13442"],"id":"designed_blank_or_gap_filler","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Egyptian hieroglyph blanks, Indic gap fillers, Braille blank, Ogham space, blank symbol, and object replacement survive the required sanitizers with nonzero display width and change Chromium pre pixels.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+FFFC"],"id":"font_zero_advance_empty_glyph","ordinary_plain_text":"FAIL","product":"FAIL","reason":"DejaVu Sans Mono has no sanitizer-surviving simple empty zero-advance glyph. Empty Mono glyphs are spaces, Cf annotation, or U+FFFC with full cell advance. U+FFFC is zero-advance in DejaVu Sans and full-cell in Mono; Chromium pre uses Mono and rejects it. Remaining system-font zero-advance empties are Cc or layout.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+115F","U+1160"],"id":"hangul_filler_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"U+115F plus U+1160 is default-ignorable. Default-ignorable-strip restores the source.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+00A0","U+02B0","U+FF9E","U+FF9F"],"id":"nfkc_compatibility_lookalike","ordinary_plain_text":"FAIL","product":"FAIL","reason":"NBSP, modifier letter small h, and halfwidth katakana voiced marks are not NFKC-stable. Homoglyph substitution remains forbidden.","required_sanitizers":"FAIL"},{"chromium_pre":"HOST_DEPENDENT","examples":["U+007F","U+0080"],"id":"cc_csi_filtered_subset","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Removing ISO-6429 device controls from H12 does not leave the Cc class. DEL and remaining C1 are still controls, still not ordinary plain text, and Chromium remains host-dependent.","required_sanitizers":"PASS"}],"conjunction_sanitizer_pass_chromium_verified_ordinary_text":[],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","dejavu_sans_mono_zero_advance_empty_assigned_survivors":[],"designed_blank_probes":[{"category":"Zs","default_ignorable":false,"label":"U+1680","name":"OGHAM SPACE MARK","required_sanitizers_keep":true,"width_delta":1},{"category":"So","default_ignorable":false,"label":"U+2422","name":"BLANK SYMBOL","required_sanitizers_keep":true,"width_delta":1},{"category":"So","default_ignorable":false,"label":"U+2800","name":"BRAILLE PATTERN BLANK","required_sanitizers_keep":true,"width_delta":1},{"category":"Po","default_ignorable":false,"label":"U+A8F9","name":"DEVANAGARI GAP FILLER","required_sanitizers_keep":true,"width_delta":1},{"category":"So","default_ignorable":false,"label":"U+FFFC","name":"OBJECT REPLACEMENT CHARACTER","required_sanitizers_keep":true,"width_delta":1},{"category":"Po","default_ignorable":false,"label":"U+1144E","name":"NEWA GAP FILLER","required_sanitizers_keep":true,"width_delta":1},{"category":"Po","default_ignorable":false,"label":"U+11C44","name":"BHAIKSUKI GAP FILLER-1","required_sanitizers_keep":true,"width_delta":1},{"category":"Po","default_ignorable":false,"label":"U+11F48","name":"KAWI PUNCTUATION SPACE FILLER","required_sanitizers_keep":true,"width_delta":1},{"category":"Lo","default_ignorable":false,"label":"U+13441","name":"EGYPTIAN HIEROGLYPH FULL BLANK","required_sanitizers_keep":true,"width_delta":1},{"category":"Lo","default_ignorable":false,"label":"U+13442","name":"EGYPTIAN HIEROGLYPH HALF BLANK","required_sanitizers_keep":true,"width_delta":1}],"di_list_complete_vs_ucd15":true,"does_not_reopen_h13_classification":true,"does_not_repeat_assigned_width0_scan":true,"extended_class_hash":"b1ca728142a217887ad327ddb226869b4343c898452240d731ab4c7d07f6f918","hangul_jamo_filler_sequence_required_sanitizers_keep":false,"lm_chromium_probe_labels":["U+02B9","U+02BC","U+02C0","U+A71D"],"lm_sanitizer_survivor_count":128,"lm_width0_survivor_labels":[],"mc_chromium_probe_labels":["U+302E","U+302F","U+093E","U+09BE","U+0BBE","U+1B35","U+09D7"],"mc_sanitizer_survivor_count":419,"mc_width0_survivor_labels":[],"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","nfkc_collapse_probes":[{"category":"Zs","label":"U+00A0","name":"NO-BREAK SPACE","nfkc":" ","required_sanitizers_keep":false},{"category":"Lm","label":"U+02B0","name":"MODIFIER LETTER SMALL H","nfkc":"h","required_sanitizers_keep":false},{"category":"Lm","label":"U+FF9E","name":"HALFWIDTH KATAKANA VOICED SOUND MARK","nfkc":"゙","required_sanitizers_keep":false},{"category":"Lm","label":"U+FF9F","name":"HALFWIDTH KATAKANA SEMI-VOICED SOUND MARK","nfkc":"゚","required_sanitizers_keep":false}],"post_sanitizer_class_hash":"a13f935834b399bd2dda6c543ad4cf646bcfc2f6426ca866b08ae8cf51346bf3","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"search_space":"sanitizer_surviving_non_width0_unicode_string_transforms_including_mc_lm_blanks_sequences_and_font_metrics","spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null}
diff --git a/tests/test_cycle8_post_sanitizer_extended.py b/tests/test_cycle8_post_sanitizer_extended.py
new file mode 100644
index 00000000..17f45015
--- /dev/null
+++ b/tests/test_cycle8_post_sanitizer_extended.py
@@ -0,0 +1,144 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress
+from fuckmark.cycle8.closed_set import CYCLE8_CLOSED_SET_HASH
+from fuckmark.cycle8.control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from fuckmark.cycle8.feasibility import CYCLE8_FEASIBILITY_HASH
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.post_sanitizer_class import CYCLE8_POST_SANITIZER_CLASS_HASH
+from fuckmark.cycle8.post_sanitizer_extended import (
+    CYCLE8_POST_SANITIZER_EXTENDED_HASH,
+    CYCLE8_POST_SANITIZER_EXTENDED_PATH,
+    CYCLE8_POST_SANITIZER_EXTENDED_VERSION,
+    DESIGNED_BLANK_PROBES,
+    HANGUL_JAMO_FILLER_SEQUENCE,
+    LM_CHROMIUM_PROBES,
+    MC_CHROMIUM_PROBES,
+    NFKC_COLLAPSE_PROBES,
+    UCD15_DEFAULT_IGNORABLE_RANGES,
+    assert_post_sanitizer_extended_class_committed,
+    post_sanitizer_extended_class_payload,
+)
+from fuckmark.cycle8.publishability import CYCLE8_MIX_PUBLISHABILITY_HASH, mix_is_product_publishable
+from fuckmark.cycle8.unicode_meta import DEFAULT_IGNORABLE_RANGES_V1
+from fuckmark.hashing import sha256_file, sha256_json
+from fuckmark.product.rendering import chrome_executable, compare_chrome_pre_screenshots
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def _load() -> dict[str, object]:
+    return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_POST_SANITIZER_EXTENDED_PATH).read_text(encoding="utf-8"))
+
+
+def test_post_sanitizer_extended_class_has_no_conjunction_survivor() -> None:
+    disk = _load()
+    payload = post_sanitizer_extended_class_payload()
+    body = {key: value for key, value in disk.items() if key != "extended_class_hash"}
+    assert disk["extended_class_hash"] == sha256_json(body) == CYCLE8_POST_SANITIZER_EXTENDED_HASH
+    assert disk["algorithm_version"] == CYCLE8_POST_SANITIZER_EXTENDED_VERSION
+    assert disk["does_not_repeat_assigned_width0_scan"] is True
+    assert disk["does_not_reopen_h13_classification"] is True
+    assert disk["assigned_width0_closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+    assert disk["assigned_width0_feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+    assert disk["control_carrier_hash"] == CYCLE8_CONTROL_CARRIER_HASH
+    assert disk["post_sanitizer_class_hash"] == CYCLE8_POST_SANITIZER_CLASS_HASH
+    assert disk["mix_publishability_hash"] == CYCLE8_MIX_PUBLISHABILITY_HASH
+    assert disk["mix_sanitizer_gate"] == "FAIL"
+    assert disk["di_list_complete_vs_ucd15"] is True
+    assert DEFAULT_IGNORABLE_RANGES_V1 == UCD15_DEFAULT_IGNORABLE_RANGES
+    assert disk["mc_width0_survivor_labels"] == []
+    assert disk["lm_width0_survivor_labels"] == []
+    assert disk["mc_sanitizer_survivor_count"] >= 1
+    assert disk["lm_sanitizer_survivor_count"] >= 1
+    assert disk["hangul_jamo_filler_sequence_required_sanitizers_keep"] is False
+    assert disk["dejavu_sans_mono_zero_advance_empty_assigned_survivors"] == []
+    assert disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] == []
+    assert disk["stronger_priority_zero_safe_mechanism"] is None
+    assert disk["product_authorized"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["spent_confirmation_corpora_not_reused"] is True
+    if payload["mc_sanitizer_survivor_count"] == disk["mc_sanitizer_survivor_count"]:
+        assert payload == disk
+    assert_post_sanitizer_extended_class_committed()
+    by_id = {row["id"]: row for row in disk["classes"]}
+    assert by_id["mc_spacing_combining_insertion"]["required_sanitizers"] == "PASS"
+    assert by_id["mc_spacing_combining_insertion"]["chromium_pre"] == "REJECTED"
+    assert by_id["lm_modifier_letter_insertion"]["chromium_pre"] == "REJECTED"
+    assert by_id["designed_blank_or_gap_filler"]["chromium_pre"] == "REJECTED"
+    assert by_id["font_zero_advance_empty_glyph"]["required_sanitizers"] == "FAIL"
+    assert by_id["hangul_filler_sequence"]["required_sanitizers"] == "FAIL"
+    assert by_id["nfkc_compatibility_lookalike"]["required_sanitizers"] == "FAIL"
+    assert by_id["cc_csi_filtered_subset"]["chromium_pre"] == "HOST_DEPENDENT"
+    assert by_id["cc_csi_filtered_subset"]["ordinary_plain_text"] == "FAIL"
+    assert mix_is_product_publishable() is False
+    assert process_text("I do not agree.") == "I do not agree."
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+    for row in disk["classes"]:
+        conjunction = (
+            row["required_sanitizers"] == "PASS"
+            and row["chromium_pre"] == "VERIFIED"
+            and row["ordinary_plain_text"] == "PASS"
+        )
+        assert conjunction is False
+
+
+def test_extended_class_probes_match_required_sanitizer_contract() -> None:
+    for codepoint in (*MC_CHROMIUM_PROBES, *LM_CHROMIUM_PROBES, *DESIGNED_BLANK_PROBES):
+        assert required_sanitizers_keep(f"A{chr(codepoint)}B") is True
+    for codepoint in NFKC_COLLAPSE_PROBES:
+        assert required_sanitizers_keep(f"A{chr(codepoint)}B") is False
+    assert required_sanitizers_keep(f"A{HANGUL_JAMO_FILLER_SEQUENCE}B") is False
+    source = "I do not agree."
+    mix = apply_letter_alternating_mix(source)
+    assert sanitize_benchmark_stress("mn_strip", mix) == source
+    assert sanitize_benchmark_stress("default_ignorable_strip", mix) == source
+
+
+def test_extended_class_chromium_probes_change_pre_pixels() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    original = "I do not agree."
+    for codepoint in (*MC_CHROMIUM_PROBES, *LM_CHROMIUM_PROBES, DESIGNED_BLANK_PROBES[0], DESIGNED_BLANK_PROBES[4], 0x13441):
+        comparison = compare_chrome_pre_screenshots(original, f"I{chr(codepoint)} do not agree.")
+        if comparison.status == "UNKNOWN":
+            pytest.skip(comparison.detail)
+        assert comparison.status == "REJECTED"
+        assert comparison.equal is False
+    cgj = compare_chrome_pre_screenshots(original, "I\u034f do not agree.")
+    if cgj.status == "UNKNOWN":
+        pytest.skip(cgj.detail)
+    assert cgj.status == "VERIFIED"
+    assert cgj.equal is True
+    control = compare_chrome_pre_screenshots(original, "I\u007f do not agree.")
+    if control.status == "UNKNOWN":
+        pytest.skip(control.detail)
+    assert control.status in {"VERIFIED", "REJECTED"}
+
+
+def test_h14_local_evidence_hashes() -> None:
+    root = Path(__file__).resolve().parents[1] / "evidence" / "h14-local"
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines()
+    files = {line.split()[-1]: line.split()[0] for line in sums if line}
+    assert set(files) == {
+        "README.md",
+        "summary.json",
+        "chromium-probes.json",
+        "lm-chromium-probes.json",
+    }
+    for name, digest in files.items():
+        assert sha256_file(root / name) == digest
+    summary = json.loads((root / "summary.json").read_text(encoding="utf-8"))
+    assert summary["mix_sanitizer_gate"] == "FAIL"
+    assert summary["product_authorized"] is False
+    assert summary["stronger_priority_zero_safe_mechanism"] is None
+    assert summary["pixel_equal_and_sanitizer_keep"] == [
+        "cc_del",
+        "cc_nul",
+        "cc_c1_no_device_csi_filtered",
+    ]
diff --git a/tools/h14_chromium_probes.py b/tools/h14_chromium_probes.py
new file mode 100644
index 00000000..9f664a2a
--- /dev/null
+++ b/tools/h14_chromium_probes.py
@@ -0,0 +1,96 @@
+#!/usr/bin/env python3
+"""H14 Chromium pixel probes for sanitizer-surviving non-width0 classes."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep
+from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1
+from fuckmark.product.rendering import compare_chrome_pre_screenshots
+from fuckmark.product.roundtrip import display_column_width
+
+SOURCE = "I do not agree."
+
+PROBES: tuple[tuple[str, str], ...] = (
+    ("mc_hangul_tone_single", "\u302e"),
+    ("mc_hangul_tone_double", "\u302f"),
+    ("mc_devanagari_aa", "\u093e"),
+    ("mc_bengali_aa", "\u09be"),
+    ("mc_tamil_aa", "\u0bbe"),
+    ("mc_balinese_tedung", "\u1b35"),
+    ("mc_bengali_au_length", "\u09d7"),
+    ("so_object_replacement", "\ufffc"),
+    ("lo_egyptian_full_blank", "\U00013441"),
+    ("lo_egyptian_half_blank", "\U00013442"),
+    ("po_devanagari_gap_filler", "\ua8f9"),
+    ("po_newa_gap_filler", "\U0001144e"),
+    ("po_kawi_space_filler", "\U00011f48"),
+    ("po_bhaiksuki_gap_filler", "\U00011c44"),
+    ("so_braille_blank", "\u2800"),
+    ("so_blank_symbol", "\u2422"),
+    ("me_enclosing_circle", "\u20dd"),
+    ("mn_cgj_control", "\u034f"),
+    ("cc_del", "\u007f"),
+    ("cc_nul", "\u0000"),
+    ("co_pua_bmp", "\ue000"),
+    ("cn_noncharacter_fffe", "\ufffe"),
+    ("lm_modifier_small_h", "\u02b0"),
+    ("zs_ogham_space", "\u1680"),
+    ("zs_nbsp", "\u00a0"),
+    ("zl_line_separator", "\u2028"),
+    ("lo_hangul_filler_di", "\u3164"),
+    ("seq_hangul_jamo_fillers", "\u115f\u1160"),
+    ("cc_c1_no_device_csi_filtered", "\u007f\u0080\u0091"),
+)
+
+
+def insert_after_letters(source: str, payload: str) -> str:
+    chunks: list[str] = []
+    for character in source:
+        chunks.append(character)
+        if character.isascii() and character.isalpha():
+            chunks.append(payload)
+    return "".join(chunks)
+
+
+def main() -> None:
+    rows = []
+    for probe_id, payload in PROBES:
+        applied = insert_after_letters(SOURCE, payload)
+        keep = required_sanitizers_keep(applied)
+        di = all(is_default_ignorable_v1(ord(character)) for character in payload)
+        width_delta = display_column_width(applied) - display_column_width(SOURCE)
+        comparison = compare_chrome_pre_screenshots(SOURCE, applied)
+        row = {
+            "id": probe_id,
+            "payload_labels": [f"U+{ord(character):04X}" for character in payload],
+            "required_sanitizers_keep": keep,
+            "payload_all_default_ignorable": di,
+            "width_delta": width_delta,
+            "chromium_pre": comparison.status,
+            "chromium_detail": comparison.detail,
+            "equal": comparison.equal,
+        }
+        rows.append(row)
+        print(
+            f"{probe_id:36} keep={keep!s:5} di={di!s:5} width={width_delta:3} "
+            f"{comparison.status:10} {comparison.detail}"
+        )
+    payload = {
+        "source": SOURCE,
+        "rows": rows,
+        "pixel_equal_and_sanitizer_keep": [
+            row["id"] for row in rows if row["equal"] is True and row["required_sanitizers_keep"] is True
+        ],
+    }
+    destination = Path("evidence/h14-local/chromium-probes.json")
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print("pixel_equal_and_sanitizer_keep", payload["pixel_equal_and_sanitizer_keep"])
+    print("wrote", destination)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tools/h14_mechanism_scan.py b/tools/h14_mechanism_scan.py
new file mode 100644
index 00000000..60eea15e
--- /dev/null
+++ b/tools/h14_mechanism_scan.py
@@ -0,0 +1,338 @@
+#!/usr/bin/env python3
+"""H14 local research scan: sanitizer-surviving mechanism classes beyond width-0 Mn/Me/Cf.
+
+This is an experiment runner, not a product authorization path.
+It does not weaken sanitizer tests and does not touch spent confirmation corpora.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import unicodedata
+from collections import Counter
+from pathlib import Path
+
+from fontTools.ttLib import TTFont
+
+from fuckmark.cycle8.control_carrier import (
+    CONTROL_MIX_ELIGIBLE_CODEPOINTS,
+    HOSTILE_CONTROL_CODEPOINTS,
+    LAYOUT_CONTROL_CODEPOINTS,
+    required_sanitizers_keep,
+)
+from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1
+from fuckmark.product.roundtrip import display_column_width
+from fuckmark.sanitizer_robustness import strip_unicode_format_characters
+
+DEJAVU_MONO = Path("/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf")
+SOURCE = "I do not agree."
+OFFICIAL_DI_RANGES_UCD15 = (
+    (0x00AD, 0x00AD),
+    (0x034F, 0x034F),
+    (0x061C, 0x061C),
+    (0x115F, 0x1160),
+    (0x17B4, 0x17B5),
+    (0x180B, 0x180F),
+    (0x200B, 0x200F),
+    (0x202A, 0x202E),
+    (0x2060, 0x206F),
+    (0x3164, 0x3164),
+    (0xFE00, 0xFE0F),
+    (0xFEFF, 0xFEFF),
+    (0xFFA0, 0xFFA0),
+    (0xFFF0, 0xFFF8),
+    (0x1BCA0, 0x1BCA3),
+    (0x1D173, 0x1D17A),
+    (0xE0000, 0xE0FFF),
+)
+NAME_NEEDLES = ("FILLER", "INVISIBLE", "BLANK", "JOINER", "TAG ", " TAG", "PAD", "EMPTY", "VOID", "NULL")
+INTERESTING_SINGLETONS = (
+    0x00A0,
+    0x00AD,
+    0x034F,
+    0x115F,
+    0x1160,
+    0x1680,
+    0x180A,
+    0x180E,
+    0x200B,
+    0x2060,
+    0x2061,
+    0x2062,
+    0x2063,
+    0x2064,
+    0x2800,
+    0x302E,
+    0x302F,
+    0x3164,
+    0xFEFF,
+    0xFF9E,
+    0xFF9F,
+    0xFFA0,
+    0xFFFC,
+    0xFFFD,
+    0xFFFE,
+    0xFFFF,
+    0xE000,
+    0xF8FF,
+    0xFDD0,
+)
+
+
+def _assigned_name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def _in_ranges(codepoint: int, ranges: tuple[tuple[int, int], ...]) -> bool:
+    return any(start <= codepoint <= end for start, end in ranges)
+
+
+def official_di_ucd15(codepoint: int) -> bool:
+    return _in_ranges(codepoint, OFFICIAL_DI_RANGES_UCD15)
+
+
+def load_dejavu_metrics(path: Path) -> dict[int, dict[str, object]]:
+    font = TTFont(path)
+    cmap = font.getBestCmap() or {}
+    glyf = font["glyf"]
+    hmtx = font["hmtx"]
+    units = int(font["head"].unitsPerEm)
+    rows: dict[int, dict[str, object]] = {}
+    for codepoint, glyph_name in cmap.items():
+        glyph = glyf[glyph_name]
+        contours = int(getattr(glyph, "numberOfContours", 0))
+        advance, lsb = hmtx[glyph_name]
+        rows[int(codepoint)] = {
+            "glyph": glyph_name,
+            "contours": contours,
+            "advance": int(advance),
+            "lsb": int(lsb),
+            "empty": contours <= 0,
+            "zero_advance": int(advance) == 0,
+        }
+    font.close()
+    return {"units_per_em": units, "glyphs": rows}
+
+
+def iter_scalars():
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        yield codepoint
+
+
+def classify_row(codepoint: int, dejavu: dict[int, dict[str, object]]) -> dict[str, object]:
+    character = chr(codepoint)
+    name = _assigned_name(codepoint)
+    category = unicodedata.category(character)
+    inserted = f"A{character}B"
+    width_delta = display_column_width(inserted) - display_column_width("AB")
+    font = dejavu.get(codepoint)
+    return {
+        "codepoint": codepoint,
+        "label": f"U+{codepoint:04X}",
+        "name": name,
+        "category": category,
+        "assigned": name is not None,
+        "default_ignorable_project": is_default_ignorable_v1(codepoint),
+        "default_ignorable_ucd15": official_di_ucd15(codepoint),
+        "required_sanitizers_keep": required_sanitizers_keep(inserted),
+        "cf_strip_keeps": strip_unicode_format_characters(inserted) == inserted,
+        "nfc_stable": unicodedata.normalize("NFC", character) == character,
+        "nfkc_stable": unicodedata.normalize("NFKC", character) == character,
+        "nfkc": unicodedata.normalize("NFKC", character),
+        "width_delta": width_delta,
+        "in_dejavu": font is not None,
+        "dejavu_contours": None if font is None else font["contours"],
+        "dejavu_advance": None if font is None else font["advance"],
+        "dejavu_empty": None if font is None else font["empty"],
+        "dejavu_zero_advance": None if font is None else font["zero_advance"],
+        "layout_control": codepoint in LAYOUT_CONTROL_CODEPOINTS,
+        "hostile_control": codepoint in HOSTILE_CONTROL_CODEPOINTS,
+        "h12_eligible": codepoint in CONTROL_MIX_ELIGIBLE_CODEPOINTS,
+        "name_interesting": bool(name) and any(needle in name for needle in NAME_NEEDLES),
+    }
+
+
+def mechanism_bucket(row: dict[str, object]) -> str:
+    category = row["category"]
+    if row["h12_eligible"]:
+        return "h12_cc_del_c1"
+    if row["layout_control"]:
+        return "cc_layout"
+    if row["hostile_control"]:
+        return "cc_nul"
+    if category == "Cc":
+        return "cc_other"
+    if category == "Mn":
+        return "mn"
+    if category == "Cf":
+        return "cf"
+    if category == "Me":
+        return "me"
+    if category == "Mc":
+        return "mc_spacing_combining"
+    if category == "Lm":
+        return "lm_modifier_letter"
+    if category == "Zs":
+        return "zs_space"
+    if category in {"Zl", "Zp"}:
+        return "z_separator"
+    if category == "Co":
+        return "co_pua"
+    if category == "Cn":
+        return "cn_unassigned_or_noncharacter"
+    if row["name_interesting"]:
+        return "named_filler_or_invisible"
+    if row["dejavu_empty"] is True and row["dejavu_zero_advance"] is True:
+        return "dejavu_empty_zero_advance"
+    if row["dejavu_empty"] is True:
+        return "dejavu_empty_nonzero_advance"
+    if row["width_delta"] == 0:
+        return "width0_other"
+    return "visible_or_unclassified"
+
+
+def scan(dejavu_glyphs: dict[int, dict[str, object]]) -> dict[str, object]:
+    project_only_di = []
+    ucd_only_di = []
+    survivors = []
+    for codepoint in iter_scalars():
+        project = is_default_ignorable_v1(codepoint)
+        official = official_di_ucd15(codepoint)
+        if project != official:
+            row = classify_row(codepoint, dejavu_glyphs)
+            if project and not official:
+                project_only_di.append(row["label"])
+            else:
+                ucd_only_di.append(row["label"])
+        name = _assigned_name(codepoint)
+        category = unicodedata.category(chr(codepoint))
+        pua_probe = codepoint in {0xE000, 0xF8FF, 0xF0000, 0x10FFFD}
+        noncharacter_probe = 0xFDD0 <= codepoint <= 0xFDEF or (codepoint & 0xFFFF) in {0xFFFE, 0xFFFF}
+        interesting = (
+            codepoint in INTERESTING_SINGLETONS
+            or category in {"Cc", "Cf", "Mn", "Me", "Mc", "Lm", "Zs", "Zl", "Zp"}
+            or pua_probe
+            or noncharacter_probe
+            or (name is not None and any(needle in name for needle in NAME_NEEDLES))
+            or (codepoint in dejavu_glyphs and dejavu_glyphs[codepoint]["empty"])
+        )
+        if not interesting:
+            continue
+        row = classify_row(codepoint, dejavu_glyphs)
+        if row["required_sanitizers_keep"]:
+            row["bucket"] = mechanism_bucket(row)
+            survivors.append(row)
+
+    # Second pass: every assigned Mc/Lm/Me and every sanitizer-surviving DejaVu empty glyph.
+    seen = {row["codepoint"] for row in survivors}
+    for codepoint in iter_scalars():
+        if codepoint in seen:
+            continue
+        character = chr(codepoint)
+        category = unicodedata.category(character)
+        font = dejavu_glyphs.get(codepoint)
+        if category not in {"Mc", "Lm", "Me"} and not (font and font["empty"]):
+            continue
+        row = classify_row(codepoint, dejavu_glyphs)
+        if row["required_sanitizers_keep"]:
+            row["bucket"] = mechanism_bucket(row)
+            survivors.append(row)
+            seen.add(codepoint)
+
+    buckets = Counter(row["bucket"] for row in survivors)
+    chromium_candidates = []
+    for row in survivors:
+        if row["bucket"] in {
+            "h12_cc_del_c1",
+            "cc_layout",
+            "cc_nul",
+            "cc_other",
+            "mn",
+            "cf",
+        }:
+            continue
+        if row["bucket"] in {
+            "mc_spacing_combining",
+            "lm_modifier_letter",
+            "me",
+            "dejavu_empty_zero_advance",
+            "dejavu_empty_nonzero_advance",
+            "named_filler_or_invisible",
+            "width0_other",
+            "co_pua",
+            "cn_unassigned_or_noncharacter",
+            "zs_space",
+        }:
+            chromium_candidates.append(row)
+
+    dejavu_empty_survivors = [
+        row
+        for row in survivors
+        if row["in_dejavu"] and row["dejavu_empty"] is True
+    ]
+    mc_survivors = [row for row in survivors if row["category"] == "Mc"]
+    lm_survivors = [row for row in survivors if row["category"] == "Lm"]
+    return {
+        "source_probe": SOURCE,
+        "di_list_complete_vs_ucd15": not project_only_di and not ucd_only_di,
+        "project_only_di": project_only_di,
+        "ucd15_only_di": ucd_only_di,
+        "survivor_count": len(survivors),
+        "buckets": dict(sorted(buckets.items())),
+        "dejavu_empty_survivor_labels": [row["label"] for row in dejavu_empty_survivors],
+        "dejavu_empty_zero_advance_labels": [
+            row["label"] for row in dejavu_empty_survivors if row["dejavu_zero_advance"]
+        ],
+        "mc_survivor_count": len(mc_survivors),
+        "mc_in_dejavu": [row["label"] for row in mc_survivors if row["in_dejavu"]],
+        "mc_dejavu_empty": [
+            row["label"] for row in mc_survivors if row["dejavu_empty"]
+        ],
+        "lm_survivor_count": len(lm_survivors),
+        "lm_name_interesting": [
+            {"label": row["label"], "name": row["name"], "in_dejavu": row["in_dejavu"]}
+            for row in lm_survivors
+            if row["name_interesting"] or row["codepoint"] in {0xFF9E, 0xFF9F}
+        ],
+        "chromium_candidate_count": len(chromium_candidates),
+        "chromium_candidates": [
+            {
+                "label": row["label"],
+                "name": row["name"],
+                "category": row["category"],
+                "bucket": row["bucket"],
+                "width_delta": row["width_delta"],
+                "in_dejavu": row["in_dejavu"],
+                "dejavu_empty": row["dejavu_empty"],
+                "dejavu_advance": row["dejavu_advance"],
+            }
+            for row in sorted(chromium_candidates, key=lambda item: item["codepoint"])
+        ],
+        "ff9e_ff9f": [row for row in survivors if row["codepoint"] in {0xFF9E, 0xFF9F}],
+        "hangul_tone_mc": [row for row in survivors if row["codepoint"] in {0x302E, 0x302F}],
+    }
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--out", default="evidence/h14-local/scan.json")
+    args = parser.parse_args()
+    metrics = load_dejavu_metrics(DEJAVU_MONO)
+    payload = scan(metrics["glyphs"])
+    payload["dejavu_path"] = str(DEJAVU_MONO)
+    payload["dejavu_units_per_em"] = metrics["units_per_em"]
+    destination = Path(args.out)
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(json.dumps({key: payload[key] for key in payload if key != "chromium_candidates"}, indent=2))
+    print(f"wrote {destination} candidates={payload['chromium_candidate_count']}")
+
+
+if __name__ == "__main__":
+    main()

From 2e0e13b0dc53e8034a01f1b096105f86191db953 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 02:59:22 +0000
Subject: [PATCH 09/28] Trigger CI after retargeting H14 onto main.

Co-authored-by: Byte271 

From 74b5192c7932c2aa1ad764ebff6e683b9337550b Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 03:00:54 +0000
Subject: [PATCH 10/28] Strip comments from H14 research tools.

Repository hygiene forbids comments and docstrings in Python files.

Co-authored-by: Byte271 
---
 tools/h14_chromium_probes.py | 3 ---
 tools/h14_mechanism_scan.py  | 8 --------
 2 files changed, 11 deletions(-)

diff --git a/tools/h14_chromium_probes.py b/tools/h14_chromium_probes.py
index 9f664a2a..8b36615a 100644
--- a/tools/h14_chromium_probes.py
+++ b/tools/h14_chromium_probes.py
@@ -1,6 +1,3 @@
-#!/usr/bin/env python3
-"""H14 Chromium pixel probes for sanitizer-surviving non-width0 classes."""
-
 from __future__ import annotations
 
 import json
diff --git a/tools/h14_mechanism_scan.py b/tools/h14_mechanism_scan.py
index 60eea15e..133505c8 100644
--- a/tools/h14_mechanism_scan.py
+++ b/tools/h14_mechanism_scan.py
@@ -1,10 +1,3 @@
-#!/usr/bin/env python3
-"""H14 local research scan: sanitizer-surviving mechanism classes beyond width-0 Mn/Me/Cf.
-
-This is an experiment runner, not a product authorization path.
-It does not weaken sanitizer tests and does not touch spent confirmation corpora.
-"""
-
 from __future__ import annotations
 
 import argparse
@@ -229,7 +222,6 @@ def scan(dejavu_glyphs: dict[int, dict[str, object]]) -> dict[str, object]:
             row["bucket"] = mechanism_bucket(row)
             survivors.append(row)
 
-    # Second pass: every assigned Mc/Lm/Me and every sanitizer-surviving DejaVu empty glyph.
     seen = {row["codepoint"] for row in survivors}
     for codepoint in iter_scalars():
         if codepoint in seen:

From 670209a81795aabdc3f2766da4ca8a55420b1160 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 03:09:42 +0000
Subject: [PATCH 11/28] Classify only simple empty TrueType glyphs in the H14
 scan.

Composite glyphs have numberOfContours == -1 and must not be labeled empty. FontTools stays a research extra, not a runtime dependency.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md              |  2 +-
 docs/install.md                              |  6 +-
 evidence/h14-local/README.md                 |  8 ++-
 evidence/h14-local/SHA256SUMS.txt            |  2 +-
 fuckmark/cycle8/post_sanitizer_extended.py   |  9 +++
 pyproject.toml                               |  1 +
 tests/test_cycle8_post_sanitizer_extended.py | 60 ++++++++++++++++++++
 tools/h14_mechanism_scan.py                  | 18 ++++--
 uv.lock                                      | 59 ++++++++++++++++++-
 9 files changed, 155 insertions(+), 10 deletions(-)

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 36d3cc50..de26b9b8 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -110,7 +110,7 @@ Live Unicode 15.0 scan:
 - Designed blanks and gap fillers (U+13441, U+13442, U+A8F9, U+1144E, U+11C44, U+11F48, U+2800, U+2422, U+1680, U+FFFC) survive and change Chromium `pre` pixels.
 - Hangul jamo fillers U+115F+U+1160 are default-ignorable. The sequence dies to default-ignorable-strip and changes Chromium pixels.
 - Project default-ignorable ranges match Unicode 15.0. That is not a cheat channel.
-- DejaVu Sans Mono, the Chromium `pre` font, has no sanitizer-surviving simple empty zero-advance glyph. U+FFFC is a full cell there. System-font zero-advance empties that survive sanitizers are `Cc` or layout separators, plus U+FFFC in DejaVu Sans.
+- DejaVu Sans Mono, the Chromium `pre` font, has no sanitizer-surviving simple empty zero-advance glyph. Simple empty means TrueType `numberOfContours == 0`. Composite glyphs (`numberOfContours == -1`) are not empty. U+FFFC is a full cell there. System-font zero-advance empties that survive sanitizers are `Cc` or layout separators, plus U+FFFC in DejaVu Sans.
 - A CSI-filtered C1 subset is still `Cc`. It is not a new class. Chromium remains host-dependent. Ordinary-text FAIL remains.
 
 The only sanitizer-surviving pixel-equal probes on the research host were control codes. H12 already closed that class for product use.
diff --git a/docs/install.md b/docs/install.md
index 22ebe999..5af43283 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -69,7 +69,11 @@ For development and tests:
 python -m pip install -e ".[dev]"
 ```
 
-The core package has no runtime dependencies. Research workflows that reproduce open SynthID experiments install pinned model/runtime dependencies through `requirements-smoke.txt`.
+The core package has no runtime dependencies. Research workflows that reproduce open SynthID experiments install pinned model/runtime dependencies through `requirements-smoke.txt`. The H14 DejaVu font-metric scan uses optional extra `research` (`fonttools`), not a runtime dependency:
+
+```text
+python -m pip install -e ".[research]"
+```
 
 ## Update
 
diff --git a/evidence/h14-local/README.md b/evidence/h14-local/README.md
index 8bd2ca9f..08926e32 100644
--- a/evidence/h14-local/README.md
+++ b/evidence/h14-local/README.md
@@ -11,9 +11,15 @@ This folder records local research that went beyond assigned width-0 insertion a
 - Designed blanks and gap fillers (Egyptian hieroglyph blanks, Indic gap fillers, Braille blank, Ogham space, U+FFFC) survive those sanitizers with nonzero width.
 - Hangul jamo fillers U+115F+U+1160 and Hangul filler U+3164 are default-ignorable and die to default-ignorable-strip.
 - NBSP, U+02B0, and U+FF9E/U+FF9F die to NFKC.
-- DejaVu Sans Mono has no sanitizer-surviving simple empty zero-advance glyph.
+- DejaVu Sans Mono has no sanitizer-surviving simple empty zero-advance glyph. Simple empty means TrueType `numberOfContours == 0`. Composite glyphs (`numberOfContours == -1`) are ordinary outlines and are not classified as empty.
 - Chromium `pre` pixels: Mc, Lm, designed blanks, PUA, noncharacters, and layout separators `REJECTED`. CGJ remains pixel-equal and sanitizer-fragile. The only sanitizer-surviving pixel-equal probes on this host were `Cc` (DEL, NUL, CSI-filtered C1), which H12 already recorded as host-dependent and not ordinary text.
 
 `scan.json` is a local working dump and is not committed. Spec: `specs/cycle8/fuckmark-cycle8-post-sanitizer-extended-class-v1.json`.
 
+The scan runner is `tools/h14_mechanism_scan.py`. FontTools is not a runtime dependency. Install the research extra:
+
+```text
+python -m pip install -e ".[research]"
+```
+
 Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
diff --git a/evidence/h14-local/SHA256SUMS.txt b/evidence/h14-local/SHA256SUMS.txt
index e98fcb74..d015babf 100644
--- a/evidence/h14-local/SHA256SUMS.txt
+++ b/evidence/h14-local/SHA256SUMS.txt
@@ -1,4 +1,4 @@
-15aa21346aae04a201869b562d2b0363d7a862386aae423e9f339cc560e84688  README.md
+357d547506667a68dfdae9f2a6fad1cef264e295bc12e57a3aba4c2c377526cc  README.md
 8fab2dfaf11fc37ebee7c26dc675ca62ab32f938bddf0a39cccc17a628368b67  summary.json
 4a7e578539d67ce10a10f80b77e2ebe0bc338f29894c8f7e66839a5522e1329d  chromium-probes.json
 054ef0463dd03deda9a3945156dc066fe1c0e98f6f17afc576b65eeb6b7a1d14  lm-chromium-probes.json
diff --git a/fuckmark/cycle8/post_sanitizer_extended.py b/fuckmark/cycle8/post_sanitizer_extended.py
index e50b3a2f..fc9fe8eb 100644
--- a/fuckmark/cycle8/post_sanitizer_extended.py
+++ b/fuckmark/cycle8/post_sanitizer_extended.py
@@ -43,6 +43,15 @@
 DESIGNED_BLANK_PROBES = (0x1680, 0x2422, 0x2800, 0xA8F9, 0xFFFC, 0x1144E, 0x11C44, 0x11F48, 0x13441, 0x13442)
 NFKC_COLLAPSE_PROBES = (0x00A0, 0x02B0, 0xFF9E, 0xFF9F)
 HANGUL_JAMO_FILLER_SEQUENCE = "\u115f\u1160"
+TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT = 0
+TRUE_TYPE_COMPOSITE_CONTOUR_COUNT = -1
+H14_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
+
+
+def is_simple_empty_true_type_glyph(contour_count: object) -> bool:
+    if type(contour_count) is not int:
+        raise TypeError("contour_count")
+    return contour_count == TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT
 
 
 def _assigned_name(codepoint: int) -> str | None:
diff --git a/pyproject.toml b/pyproject.toml
index 5235b696..520306be 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,6 +37,7 @@ fuckmark = "fuckmark.cli:main"
 
 [project.optional-dependencies]
 dev = ["pytest>=8.3"]
+research = ["fonttools>=4.50"]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
diff --git a/tests/test_cycle8_post_sanitizer_extended.py b/tests/test_cycle8_post_sanitizer_extended.py
index 17f45015..a5970fd7 100644
--- a/tests/test_cycle8_post_sanitizer_extended.py
+++ b/tests/test_cycle8_post_sanitizer_extended.py
@@ -1,4 +1,6 @@
+import ast
 import json
+import tomllib
 from pathlib import Path
 
 import pytest
@@ -15,12 +17,16 @@
     CYCLE8_POST_SANITIZER_EXTENDED_PATH,
     CYCLE8_POST_SANITIZER_EXTENDED_VERSION,
     DESIGNED_BLANK_PROBES,
+    H14_RESEARCH_EXTRA_INSTALL,
     HANGUL_JAMO_FILLER_SEQUENCE,
     LM_CHROMIUM_PROBES,
     MC_CHROMIUM_PROBES,
     NFKC_COLLAPSE_PROBES,
+    TRUE_TYPE_COMPOSITE_CONTOUR_COUNT,
+    TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT,
     UCD15_DEFAULT_IGNORABLE_RANGES,
     assert_post_sanitizer_extended_class_committed,
+    is_simple_empty_true_type_glyph,
     post_sanitizer_extended_class_payload,
 )
 from fuckmark.cycle8.publishability import CYCLE8_MIX_PUBLISHABILITY_HASH, mix_is_product_publishable
@@ -142,3 +148,57 @@ def test_h14_local_evidence_hashes() -> None:
         "cc_nul",
         "cc_c1_no_device_csi_filtered",
     ]
+
+
+def test_simple_empty_true_type_glyph_excludes_composites() -> None:
+    assert TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT == 0
+    assert TRUE_TYPE_COMPOSITE_CONTOUR_COUNT == -1
+    assert is_simple_empty_true_type_glyph(TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT) is True
+    assert is_simple_empty_true_type_glyph(TRUE_TYPE_COMPOSITE_CONTOUR_COUNT) is False
+    assert is_simple_empty_true_type_glyph(1) is False
+    assert is_simple_empty_true_type_glyph(12) is False
+    with pytest.raises(TypeError, match="contour_count"):
+        is_simple_empty_true_type_glyph(False)
+    with pytest.raises(TypeError, match="contour_count"):
+        is_simple_empty_true_type_glyph(0.0)
+
+
+def test_research_extra_declares_fonttools_without_runtime_dependency() -> None:
+    root = Path(__file__).resolve().parents[1]
+    data = tomllib.loads((root / "pyproject.toml").read_text(encoding="utf-8"))
+    assert data["project"]["dependencies"] == []
+    research = data["project"]["optional-dependencies"]["research"]
+    assert any(item.lower().startswith("fonttools") for item in research)
+    assert H14_RESEARCH_EXTRA_INSTALL == 'pip install -e ".[research]"'
+
+
+def test_h14_mechanism_scan_defers_fonttools_import() -> None:
+    path = Path(__file__).resolve().parents[1] / "tools" / "h14_mechanism_scan.py"
+    tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path))
+    top_imports: list[str] = []
+    for node in tree.body:
+        if isinstance(node, ast.Import):
+            top_imports.extend(alias.name for alias in node.names)
+        elif isinstance(node, ast.ImportFrom) and node.module:
+            top_imports.append(node.module)
+    assert all(not name.startswith("fontTools") for name in top_imports)
+    assert "fuckmark.cycle8.post_sanitizer_extended" in top_imports
+
+
+def test_h14_scan_does_not_mark_composite_glyphs_empty() -> None:
+    font_path = Path("/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf")
+    if not font_path.is_file():
+        pytest.skip("DejaVu Sans Mono is not available")
+    from tools.h14_mechanism_scan import load_dejavu_metrics
+
+    try:
+        metrics = load_dejavu_metrics(font_path)["glyphs"]
+    except SystemExit:
+        pytest.skip("fonttools is not available")
+    composites = [row for row in metrics.values() if int(row["contours"]) < 0]
+    empties = [row for row in metrics.values() if row["empty"] is True]
+    assert composites
+    assert empties
+    assert all(row["empty"] is False for row in composites)
+    assert all(int(row["contours"]) == TRUE_TYPE_SIMPLE_EMPTY_CONTOUR_COUNT for row in empties)
+
diff --git a/tools/h14_mechanism_scan.py b/tools/h14_mechanism_scan.py
index 133505c8..218114c3 100644
--- a/tools/h14_mechanism_scan.py
+++ b/tools/h14_mechanism_scan.py
@@ -6,14 +6,16 @@
 from collections import Counter
 from pathlib import Path
 
-from fontTools.ttLib import TTFont
-
 from fuckmark.cycle8.control_carrier import (
     CONTROL_MIX_ELIGIBLE_CODEPOINTS,
     HOSTILE_CONTROL_CODEPOINTS,
     LAYOUT_CONTROL_CODEPOINTS,
     required_sanitizers_keep,
 )
+from fuckmark.cycle8.post_sanitizer_extended import (
+    H14_RESEARCH_EXTRA_INSTALL,
+    is_simple_empty_true_type_glyph,
+)
 from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1
 from fuckmark.product.roundtrip import display_column_width
 from fuckmark.sanitizer_robustness import strip_unicode_format_characters
@@ -88,8 +90,16 @@ def official_di_ucd15(codepoint: int) -> bool:
     return _in_ranges(codepoint, OFFICIAL_DI_RANGES_UCD15)
 
 
+def _tt_font_class():
+    try:
+        from fontTools.ttLib import TTFont
+    except ImportError as error:
+        raise SystemExit(f"fonttools is required: {H14_RESEARCH_EXTRA_INSTALL}") from error
+    return TTFont
+
+
 def load_dejavu_metrics(path: Path) -> dict[int, dict[str, object]]:
-    font = TTFont(path)
+    font = _tt_font_class()(path)
     cmap = font.getBestCmap() or {}
     glyf = font["glyf"]
     hmtx = font["hmtx"]
@@ -104,7 +114,7 @@ def load_dejavu_metrics(path: Path) -> dict[int, dict[str, object]]:
             "contours": contours,
             "advance": int(advance),
             "lsb": int(lsb),
-            "empty": contours <= 0,
+            "empty": is_simple_empty_true_type_glyph(contours),
             "zero_advance": int(advance) == 0,
         }
     font.close()
diff --git a/uv.lock b/uv.lock
index 5c31498f..55b46cdf 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,55 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
 ]
 
+[[package]]
+name = "fonttools"
+version = "4.63.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/84/69/c97f2c18e0db87d2c7b15da1974dace76ae938f1cfa22e2727a648b7ed43/fonttools-4.63.0.tar.gz", hash = "sha256:caeb583deeb5168e694b65cda8b4ee62abedfa66cf88488734466f2366b9c4e0", size = 3597189, upload-time = "2026-05-14T12:04:30.958Z" }
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+    { url = "https://files.pythonhosted.org/packages/2c/47/c99d5268f354002ce80f8d029cd9d7d872969da1de8b93d32de4dc56d6f4/fonttools-4.63.0-py3-none-any.whl", hash = "sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d", size = 1164562, upload-time = "2026-05-14T12:04:29.092Z" },
+]
+
 [[package]]
 name = "fuckmark"
 version = "0.3.0"
@@ -20,10 +69,16 @@ source = { editable = "." }
 dev = [
     { name = "pytest" },
 ]
+research = [
+    { name = "fonttools" },
+]
 
 [package.metadata]
-requires-dist = [{ name = "pytest", marker = "extra == 'dev'", specifier = ">=8.3" }]
-provides-extras = ["dev"]
+requires-dist = [
+    { name = "fonttools", marker = "extra == 'research'", specifier = ">=4.50" },
+    { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.3" },
+]
+provides-extras = ["dev", "research"]
 
 [[package]]
 name = "iniconfig"

From 5b3e3e16781d4cb677c1c00e45917f5184618d96 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 03:37:52 +0000
Subject: [PATCH 12/28] Record H15 sequence sanitizer classes without product
 authorization.

Grapheme prepend and joining connectors survive the required sanitizers and change Chromium pixels. Hangul L plus V dies to NFC or NFKD. Bidi wraps and partial remainders collapse to Cf or H12. Mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/README.md                         |   2 +-
 docs/cycle8/carrier-research.md               |  27 ++
 docs/cycle8/mix-publishability.md             |   2 +-
 evidence/h15-local/README.md                  |  22 ++
 evidence/h15-local/SHA256SUMS.txt             |   3 +
 evidence/h15-local/chromium-probes.json       |  86 +++++
 evidence/h15-local/summary.json               |  32 ++
 fuckmark/cycle8/post_sanitizer_sequences.py   | 362 ++++++++++++++++++
 ...rk-cycle8-post-sanitizer-sequences-v1.json |   1 +
 tests/test_cycle8_post_sanitizer_sequences.py | 169 ++++++++
 tools/h15_sequence_probes.py                  |  24 ++
 11 files changed, 728 insertions(+), 2 deletions(-)
 create mode 100644 evidence/h15-local/README.md
 create mode 100644 evidence/h15-local/SHA256SUMS.txt
 create mode 100644 evidence/h15-local/chromium-probes.json
 create mode 100644 evidence/h15-local/summary.json
 create mode 100644 fuckmark/cycle8/post_sanitizer_sequences.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json
 create mode 100644 tests/test_cycle8_post_sanitizer_sequences.py
 create mode 100644 tools/h15_sequence_probes.py

diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index 106811d6..e15df30a 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -23,7 +23,7 @@ See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`,
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index de26b9b8..639af8a6 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -119,6 +119,27 @@ This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not gen
 
 Spec: `cycle8-post-sanitizer-extended-class-v1`. Evidence: `evidence/h14-local/`.
 
+## H15. Sequence and representation class
+
+`VERIFIED` as a negative sequence-level extension, not a product unlock. H14 closed the next single-codepoint graphic classes. H15 does not repeat that sweep. It measures multi-codepoint sequences and representation interactions.
+
+No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe.
+
+Live sequence measurements:
+
+- Thirteen UAX #29 prepend letters survive the required sanitizers. Chromium `pre` rejects them in front of Latin `I`.
+- Joining connectors (tatweel, Nko lajanyalan, Mongolian nirugu, character tie) survive and change Chromium `pre` pixels. ZWJ/ZWNJ die to Cf-strip.
+- Hangul L plus V jamo is NFC-unstable. The composed syllable is NFKD-unstable. Either form dies to the required bundle.
+- ASCII plus sanitizer-surviving `Mc` does not NFC-compose.
+- LRI/FSI wraps around LTR English are pixel-equal on this Chromium host and die to Cf-strip. RLI/RLO wraps change pixels.
+- ISO-6429 ESC CSI sequences survive because they are `Cc` plus ASCII, but Chromium `pre` shows the ASCII parameters.
+- Mix plus DEL is pixel-equal here; Mn-strip leaves DEL. That is the H12 remainder, not a new class.
+- DejaVu Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including composites. Discretionary `fi`/`fl` ligatures map to NFKC-fragile compatibility characters and are not applied in Chromium `pre`.
+
+This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+
+Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
+
 ## Rejected as product mechanisms
 
 | Mechanism | Label | Why |
@@ -137,6 +158,12 @@ Spec: `cycle8-post-sanitizer-extended-class-v1`. Evidence: `evidence/h14-local/`
 | Egyptian blanks / Indic gap fillers / U+FFFC | `REJECTED` | sanitizer-survive with width; Chromium `pre` pixels change |
 | Hangul filler sequences | `REJECTED` | default-ignorable; DI-strip restores the source |
 | CSI-filtered C1 subset | `PRODUCT_DISQUALIFIED` | still `Cc`; Chromium host-dependent; not ordinary text |
+| Grapheme prepend plus Latin base | `REJECTED` | sanitizer-survive; Chromium `pre` pixels change |
+| Joining connectors (tatweel / nirugu) | `REJECTED` | sanitizer-survive; Chromium `pre` pixels change |
+| Hangul L plus V composition | `REJECTED` | NFC or NFKD rewrites the representation |
+| Bidi isolate wrap | `REJECTED` as durable | pixel-equal on LTR here; Cf-strip restores the source |
+| ISO-6429 escape sequences | `PRODUCT_DISQUALIFIED` | sanitizer-survive as `Cc` plus ASCII; parameters stay visible |
+| Mix plus DEL remainder | `PRODUCT_DISQUALIFIED` | leftover is still H12 `Cc` |
 
 ## Baseline
 
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 58ac0749..7b56fc49 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -52,7 +52,7 @@ Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no
 
 Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
 
-H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. H14 extends that classification beyond width-0 insertion: `Mc`, NFKC-stable `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. Those classes either die to the required sanitizers or change Chromium `pre` pixels. A CSI-filtered C1 subset is still `Cc` and stays host-dependent. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
+H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. H14 extends that classification beyond width-0 insertion: `Mc`, NFKC-stable `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. Those classes either die to the required sanitizers or change Chromium `pre` pixels. H15 measures sequence-level families: grapheme prepend, joining connectors, Hangul L plus V composition, bidi isolate wraps, ISO-6429 escapes, partial-sanitizer remainders, and DejaVu GSUB ligatures. Prepend and joining survive the required sanitizers and change Chromium pixels. Hangul composition dies to NFC or NFKD. Bidi wraps that are pixel-equal on LTR English die to Cf-strip. Escape sequences keep sanitizers as `Cc` plus ASCII and remain visible in Chromium `pre`. Partial remainders collapse to a previously classified class. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
 
 ## Cross-detector generalization
 
diff --git a/evidence/h15-local/README.md b/evidence/h15-local/README.md
new file mode 100644
index 00000000..431e1a67
--- /dev/null
+++ b/evidence/h15-local/README.md
@@ -0,0 +1,22 @@
+# H15 sequence and representation class
+
+Status: `VERIFIED` as a negative sequence-level extension of H14. Not product authorization. Mix sanitizer robustness stays **FAIL**.
+
+This folder records local research that did not repeat assigned width-0 enumeration or the H14 single-codepoint Mc/Lm/blank sweep. It measures multi-codepoint sequences, grapheme prepend, joining, Hangul composition, bidi wraps, ISO-6429 escapes, partial-sanitizer remainders, and DejaVu Sans Mono GSUB ligatures.
+
+## What was measured
+
+- Thirteen UAX #29 prepend letters survive the required sanitizer bundle. Chromium `pre` rejects Malayalam Dot Reph, Sharada jihvamuliya, Zanabazar RA, and Kawi repha in front of Latin `I`.
+- Arabic tatweel, Nko lajanyalan, Mongolian nirugu, and character tie survive those sanitizers and change Chromium `pre` pixels in Latin. ZWJ/ZWNJ die to Cf-strip.
+- Hangul L plus V jamo NFC-compose, so NFC rewrites the sequence. The composed syllable NFKD-decomposes, so NFKD rewrites that form. Neither representation survives the required bundle.
+- ASCII plus sanitizer-surviving `Mc` does not NFC-compose.
+- Matched LRI/FSI plus PDI around LTR English is pixel-equal on this Chromium host and dies to Cf-strip and default-ignorable-strip. RLI and RLO wraps change pixels.
+- 7-bit ESC CSI sequences survive the sanitizer bundle because they are `Cc` plus ASCII. Chromium `pre` does not interpret them; the parameter characters stay visible.
+- Mix plus DEL stays pixel-equal here. Mn-strip leaves DEL. That remainder is the H12 `Cc` class.
+- DejaVu Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including composites. Latin extra-component GSUB ligatures are discretionary `fi`/`fl` to compatibility characters that die to NFKC. Chromium `pre` does not apply that ligature: CGJ between `f` and `i` in `affirm` is pixel-equal.
+
+No measured sequence class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe.
+
+Spec: `specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json`.
+
+Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
diff --git a/evidence/h15-local/SHA256SUMS.txt b/evidence/h15-local/SHA256SUMS.txt
new file mode 100644
index 00000000..1c3f91fe
--- /dev/null
+++ b/evidence/h15-local/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+be4789c59963bc0e4644679bfbfe471c81e277e361d5f18ee9bcc3966ca1e0cb  README.md
+d269d1d29130247a5b78b3ea907f9aa331918bb70184de6032f141984dfdd1be  summary.json
+a91c3f599b7e88fa854082c72b72f0d122a3e30767d0ee09d9af35556b563809  chromium-probes.json
diff --git a/evidence/h15-local/chromium-probes.json b/evidence/h15-local/chromium-probes.json
new file mode 100644
index 00000000..4cc29791
--- /dev/null
+++ b/evidence/h15-local/chromium-probes.json
@@ -0,0 +1,86 @@
+[
+  {
+    "id": "prepend_malayalam_reph_before_I",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "prepend_sharada_jihvamuliya_before_I",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "tatweel_after_I",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "esc_sgr_reset_after_I",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "hangul_lv_jamo_after_I",
+    "keep": false,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "bidi_lri_wrap",
+    "keep": false,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "bidi_rli_wrap",
+    "keep": false,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "bidi_fsi_wrap",
+    "keep": false,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "mix_agree",
+    "keep": false,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "mix_plus_del",
+    "keep": false,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "del_only",
+    "keep": true,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "affirm_cgj_between_f_i",
+    "keep": false,
+    "status": "VERIFIED",
+    "equal": true
+  },
+  {
+    "id": "arabic_lam_alef_letters",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  },
+  {
+    "id": "iso6429_conceal_wrap",
+    "keep": true,
+    "status": "REJECTED",
+    "equal": false
+  }
+]
diff --git a/evidence/h15-local/summary.json b/evidence/h15-local/summary.json
new file mode 100644
index 00000000..d323c1ef
--- /dev/null
+++ b/evidence/h15-local/summary.json
@@ -0,0 +1,32 @@
+{
+  "hypothesis": "H15",
+  "algorithm_version": "cycle8-post-sanitizer-sequences-v1",
+  "mix_sanitizer_gate": "FAIL",
+  "product_authorized": false,
+  "stronger_priority_zero_safe_mechanism": null,
+  "conjunction_sanitizer_pass_chromium_verified_ordinary_text": [],
+  "prepend_sanitizer_survivor_count": 13,
+  "ascii_plus_mc_nfc_hit_count": 0,
+  "hangul_lv_sequence_required_sanitizers_keep": false,
+  "hangul_lv_composed_required_sanitizers_keep": false,
+  "lri_wrap_required_sanitizers_keep": false,
+  "mix_plus_del_mn_remainder": ["U+007F"],
+  "dejavu_sans_mono_zero_advance_keep_including_composites": [],
+  "dejavu_sans_mono_latin_extra_component_liga_count": 2,
+  "pixel_equal_sanitizer_fail": [
+    "bidi_lri_wrap",
+    "bidi_fsi_wrap",
+    "bidi_lro_wrap",
+    "zwj_in_agree",
+    "cgj_between_f_i",
+    "word_joiner_between_words",
+    "vs15_after_I"
+  ],
+  "pixel_equal_sanitizer_keep": ["cc_del"],
+  "chromium_rejected_sanitizer_keep": [
+    "grapheme_prepend_malayalam_reph",
+    "joining_tatweel",
+    "iso6429_esc_sgr_reset",
+    "arabic_lam_alef_letters"
+  ]
+}
diff --git a/fuckmark/cycle8/post_sanitizer_sequences.py b/fuckmark/cycle8/post_sanitizer_sequences.py
new file mode 100644
index 00000000..926bb462
--- /dev/null
+++ b/fuckmark/cycle8/post_sanitizer_sequences.py
@@ -0,0 +1,362 @@
+from __future__ import annotations
+
+import json
+import unicodedata
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from .benchmark import strip_nonspacing_marks
+from .closed_set import CYCLE8_CLOSED_SET_HASH
+from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from .feasibility import CYCLE8_FEASIBILITY_HASH
+from .post_sanitizer_class import CYCLE8_POST_SANITIZER_CLASS_HASH
+from .post_sanitizer_extended import CYCLE8_POST_SANITIZER_EXTENDED_HASH
+from .publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+
+
+CYCLE8_POST_SANITIZER_SEQUENCES_VERSION = "cycle8-post-sanitizer-sequences-v1"
+CYCLE8_POST_SANITIZER_SEQUENCES_PATH = "specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json"
+CYCLE8_POST_SANITIZER_SEQUENCES_HASH = "a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c"
+SEQUENCE_SOURCE = "I do not agree."
+HANGUL_L_V_SEQUENCE = "\u1100\u1161"
+HANGUL_FILLER_SEQUENCE = "\u115f\u1160"
+MIX_PLUS_DEL_SEQUENCE = "\u034f\u007f"
+LRI_PDI_WRAP = "\u2066" + SEQUENCE_SOURCE + "\u2069"
+TATWEEL = "\u0640"
+MALAYALAM_DOT_REPH = 0x0D4E
+UAX29_PREPEND_CODEPOINTS = (
+    *range(0x0600, 0x0606),
+    0x06DD,
+    0x070F,
+    0x0890,
+    0x0891,
+    0x08E2,
+    0x0D4E,
+    0x110BD,
+    0x111C2,
+    0x111C3,
+    0x1193F,
+    0x11A3A,
+    *range(0x11A84, 0x11A8A),
+    0x11D46,
+    0x11F02,
+)
+JOINING_CONNECTOR_PROBES = (0x0640, 0x07FA, 0x180A, 0x2040)
+PREPEND_CHROMIUM_PROBES = (0x0D4E, 0x111C2, 0x11A3A, 0x11F02)
+
+
+def _assigned_name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def _label(codepoint: int) -> str:
+    return f"U+{codepoint:04X}"
+
+
+def _class_row(
+    class_id: str,
+    *,
+    required_sanitizers: str,
+    chromium_pre: str,
+    ordinary_plain_text: str,
+    product: str,
+    reason: str,
+    examples: tuple[str, ...],
+) -> dict[str, object]:
+    return {
+        "id": class_id,
+        "examples": list(examples),
+        "required_sanitizers": required_sanitizers,
+        "chromium_pre": chromium_pre,
+        "ordinary_plain_text": ordinary_plain_text,
+        "product": product,
+        "reason": reason,
+    }
+
+
+def _insert(payload: str) -> str:
+    return f"I{payload} do not agree."
+
+
+def scan_prepend_survivors() -> tuple[str, ...]:
+    labels: list[str] = []
+    for codepoint in UAX29_PREPEND_CODEPOINTS:
+        if _assigned_name(codepoint) is None:
+            continue
+        character = chr(codepoint)
+        inserted = character + SEQUENCE_SOURCE
+        after = _insert(character)
+        if required_sanitizers_keep(inserted) or required_sanitizers_keep(after):
+            labels.append(_label(codepoint))
+    return tuple(labels)
+
+
+def hangul_lv_required_sanitizers_keep() -> bool:
+    return required_sanitizers_keep(_insert(HANGUL_L_V_SEQUENCE))
+
+
+def hangul_lv_composed_required_sanitizers_keep() -> bool:
+    composed = unicodedata.normalize("NFC", HANGUL_L_V_SEQUENCE)
+    return required_sanitizers_keep(_insert(composed))
+
+
+def ascii_plus_mc_nfc_hit_count() -> int:
+    hits = 0
+    marks: list[int] = []
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        character = chr(codepoint)
+        if unicodedata.category(character) != "Mc":
+            continue
+        if _assigned_name(codepoint) is None:
+            continue
+        if required_sanitizers_keep(f"A{character}B"):
+            marks.append(codepoint)
+    for base in (ord("I"), ord("a"), ord("e")):
+        for mark in marks:
+            seq = chr(base) + chr(mark)
+            if unicodedata.normalize("NFC", seq) != seq:
+                hits += 1
+    return hits
+
+
+def joining_connector_keep_labels() -> tuple[str, ...]:
+    labels: list[str] = []
+    for codepoint in JOINING_CONNECTOR_PROBES:
+        character = chr(codepoint)
+        if required_sanitizers_keep(_insert(character)):
+            labels.append(_label(codepoint))
+    return tuple(labels)
+
+
+def mix_plus_del_mn_remainder() -> str:
+    transformed = _insert(MIX_PLUS_DEL_SEQUENCE)
+    remainder = strip_nonspacing_marks(transformed)
+    extra = "".join(character for character in remainder if character not in SEQUENCE_SOURCE)
+    return extra
+
+
+def lri_wrap_required_sanitizers_keep() -> bool:
+    return required_sanitizers_keep(LRI_PDI_WRAP)
+
+
+def post_sanitizer_sequences_payload() -> dict[str, object]:
+    prepend = scan_prepend_survivors()
+    joining = joining_connector_keep_labels()
+    hangul_seq_keep = hangul_lv_required_sanitizers_keep()
+    hangul_composed_keep = hangul_lv_composed_required_sanitizers_keep()
+    nfc_hits = ascii_plus_mc_nfc_hit_count()
+    mix_del_remainder = mix_plus_del_mn_remainder()
+    filler_keep = required_sanitizers_keep(_insert(HANGUL_FILLER_SEQUENCE))
+    classes = (
+        _class_row(
+            "grapheme_prepend_plus_base",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "UAX #29 prepend letters such as Malayalam Dot Reph form a grapheme cluster "
+                "with the following base. Assigned prepend probes survive the required "
+                "sanitizers with nonzero width and change Chromium pre pixels on Latin bases."
+            ),
+            examples=tuple(prepend[:4]) if prepend else ("U+0D4E",),
+        ),
+        _class_row(
+            "joining_connector_sequence",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Arabic tatweel, Nko lajanyalan, Mongolian nirugu, and character-tie "
+                "connectors survive the required sanitizers. Inserted into Latin they change "
+                "Chromium pre pixels. ZWJ and ZWNJ joining controls are Cf and die to Cf-strip."
+            ),
+            examples=("U+0640", "U+07FA", "U+180A"),
+        ),
+        _class_row(
+            "hangul_lv_composition_sequence",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Hangul L plus V jamo NFC-compose to a syllable, so NFC sanitizer rewrites "
+                "the sequence. The composed syllable NFKD-decomposes, so NFKD sanitizer "
+                "rewrites that form. Either representation dies to the required bundle. "
+                "Filler jamo remain default-ignorable."
+            ),
+            examples=("U+1100", "U+1161"),
+        ),
+        _class_row(
+            "bidi_isolate_wrap_sequence",
+            required_sanitizers="FAIL",
+            chromium_pre="VERIFIED_ON_RESEARCH_HOST",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Matched LRI or FSI plus PDI around LTR English is pixel-equal on this "
+                "Chromium pre host. Unmatched LRI is also pixel-equal here. RLI and RLO wraps "
+                "reverse or isolate RTL and change pixels. LRI, RLI, FSI, PDI, LRO, and PDF "
+                "are Cf and default-ignorable, so Cf-strip and default-ignorable-strip restore "
+                "the source. That is not a new sanitizer-surviving class."
+            ),
+            examples=("U+2066", "U+2069"),
+        ),
+        _class_row(
+            "iso6429_escape_sequence",
+            required_sanitizers="PASS",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "7-bit ESC CSI sequences and 8-bit CSI plus ASCII parameters survive Mn-strip, "
+                "default-ignorable-strip, Cf-strip, NFC, and NFKC because ESC and C1 are Cc. "
+                "Chromium pre textContent does not interpret them as device control, so the "
+                "parameter characters remain visible. Still not ordinary plain text."
+            ),
+            examples=("U+001B", "U+009B"),
+        ),
+        _class_row(
+            "partial_sanitizer_remainder",
+            required_sanitizers="FAIL",
+            chromium_pre="HOST_DEPENDENT",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "Combining a stripped carrier with a survivor leaves the survivor after "
+                "Mn-strip or default-ignorable-strip. Mix plus DEL stays pixel-equal here and "
+                "Mn-strip leaves DEL. The remainder is the H12 Cc class, not a new mechanism. "
+                "Mix plus Mc or Me leaves those marks, which change Chromium pixels."
+            ),
+            examples=("U+034F", "U+007F"),
+        ),
+        _class_row(
+            "font_gsub_ligature_sequence",
+            required_sanitizers="FAIL",
+            chromium_pre="REJECTED",
+            ordinary_plain_text="FAIL",
+            product="FAIL",
+            reason=(
+                "DejaVu Sans Mono Latin GSUB extra-component ligatures are discretionary "
+                "f plus i and f plus l mapping to compatibility ligature characters. Those "
+                "characters die to NFKC. Chromium pre does not apply that discretionary "
+                "ligature: inserting CGJ, ZWJ, ZWNJ, or VS1 between f and i in affirm is "
+                "pixel-equal. No sanitizer-surviving extra code point is eaten by a Latin liga."
+            ),
+            examples=("U+FB01", "U+FB02"),
+        ),
+    )
+    conjunction = [
+        row["id"]
+        for row in classes
+        if row["required_sanitizers"] == "PASS"
+        and row["chromium_pre"] == "VERIFIED"
+        and row["ordinary_plain_text"] == "PASS"
+    ]
+    payload = {
+        "algorithm_version": CYCLE8_POST_SANITIZER_SEQUENCES_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "search_space": (
+            "sequence_and_representation_transforms_after_h14_including_prepend_joining_"
+            "hangul_composition_bidi_wraps_escape_sequences_partial_sanitizer_and_gsub"
+        ),
+        "does_not_repeat_assigned_width0_scan": True,
+        "does_not_repeat_h14_single_codepoint_sweep": True,
+        "assigned_width0_closed_set_hash": CYCLE8_CLOSED_SET_HASH,
+        "assigned_width0_feasibility_hash": CYCLE8_FEASIBILITY_HASH,
+        "control_carrier_hash": CYCLE8_CONTROL_CARRIER_HASH,
+        "post_sanitizer_class_hash": CYCLE8_POST_SANITIZER_CLASS_HASH,
+        "post_sanitizer_extended_hash": CYCLE8_POST_SANITIZER_EXTENDED_HASH,
+        "mix_publishability_hash": CYCLE8_MIX_PUBLISHABILITY_HASH,
+        "mix_sanitizer_gate": "FAIL",
+        "prepend_sanitizer_survivor_labels": list(prepend),
+        "prepend_sanitizer_survivor_count": len(prepend),
+        "joining_connector_keep_labels": list(joining),
+        "hangul_lv_sequence_required_sanitizers_keep": hangul_seq_keep,
+        "hangul_lv_composed_required_sanitizers_keep": hangul_composed_keep,
+        "hangul_filler_sequence_required_sanitizers_keep": filler_keep,
+        "ascii_plus_mc_nfc_hit_count": nfc_hits,
+        "lri_wrap_required_sanitizers_keep": lri_wrap_required_sanitizers_keep(),
+        "mix_plus_del_mn_remainder": [f"U+{ord(character):04X}" for character in mix_del_remainder],
+        "dejavu_sans_mono_zero_advance_keep_including_composites": [],
+        "dejavu_sans_mono_latin_extra_component_liga_count": 2,
+        "classes": list(classes),
+        "conjunction_sanitizer_pass_chromium_verified_ordinary_text": conjunction,
+        "stronger_priority_zero_safe_mechanism": None,
+        "product_authorized": False,
+        "mix_gate_not_rewritten": True,
+        "spent_confirmation_corpora_not_reused": True,
+        "boundary": (
+            "Sequence-level transforms do not escape the H13/H14 sanitizer boundary. "
+            "Grapheme prepend and joining connectors survive the required sanitizers and "
+            "change Chromium pre pixels. Hangul L plus V is NFC-unstable as jamo and "
+            "NFKD-unstable as a syllable. Bidi isolate wraps can be renderer-neutral on LTR "
+            "English and still die to Cf-strip. ISO-6429 escape sequences keep sanitizers "
+            "because they are Cc plus ASCII, but Chromium pre shows the ASCII parameters. "
+            "Partial sanitizer remainders collapse to a previously classified class. DejaVu "
+            "Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including "
+            "composites, and no Latin GSUB ligature that swallows an extra sanitizer-stable "
+            "code point. No measured sequence class is simultaneously sanitizer-surviving, "
+            "Chromium-portable, ordinary plain text, and Priority-Zero safe. This does not "
+            "rewrite mix sanitizer FAIL."
+        ),
+    }
+    return {**payload, "sequence_class_hash": sha256_json(payload)}
+
+
+def write_post_sanitizer_sequences_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_SEQUENCES_PATH)
+    payload = post_sanitizer_sequences_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_post_sanitizer_sequences(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_POST_SANITIZER_SEQUENCES_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_post_sanitizer_sequences_committed() -> None:
+    path = Path(CYCLE8_POST_SANITIZER_SEQUENCES_PATH)
+    if not path.is_file():
+        raise ValueError("post-sanitizer sequences spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "sequence_class_hash"}
+    digest = sha256_json(body)
+    if disk.get("sequence_class_hash") != digest:
+        raise ValueError("post-sanitizer sequences spec hash mismatch")
+    if CYCLE8_POST_SANITIZER_SEQUENCES_HASH != "0" * 64 and digest != CYCLE8_POST_SANITIZER_SEQUENCES_HASH:
+        raise ValueError("post-sanitizer sequences spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("sequences class must not product-authorize a mechanism")
+    if disk["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("sequences class must not claim a stronger Priority-Zero mechanism")
+    if disk["mix_gate_not_rewritten"] is not True:
+        raise ValueError("sequences class must not rewrite the mix sanitizer gate")
+    if disk["mix_sanitizer_gate"] != "FAIL":
+        raise ValueError("sequences class must keep mix sanitizer FAIL")
+    if disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] != []:
+        raise ValueError("sequences class must not claim a conjunction survivor")
+    if disk["hangul_lv_sequence_required_sanitizers_keep"] is not False:
+        raise ValueError("Hangul L plus V sequence must die to required sanitizers")
+    if disk["hangul_lv_composed_required_sanitizers_keep"] is not False:
+        raise ValueError("composed Hangul syllable must die to required sanitizers")
+    if disk["lri_wrap_required_sanitizers_keep"] is not False:
+        raise ValueError("LRI wrap must die to required sanitizers")
+    if disk["mix_plus_del_mn_remainder"] != ["U+007F"]:
+        raise ValueError("mix plus DEL remainder after Mn-strip must be DEL")
+    if disk["ascii_plus_mc_nfc_hit_count"] != 0:
+        raise ValueError("ASCII plus Mc must not NFC-compose")
+    if disk["dejavu_sans_mono_zero_advance_keep_including_composites"] != []:
+        raise ValueError("DejaVu Sans Mono must not have sanitizer-surviving zero-advance glyphs")
+    live = post_sanitizer_sequences_payload()
+    if live["prepend_sanitizer_survivor_count"] == disk["prepend_sanitizer_survivor_count"] and live != disk:
+        raise ValueError("post-sanitizer sequences spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json b/specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json
new file mode 100644
index 00000000..506431f9
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-post-sanitizer-sequences-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-post-sanitizer-sequences-v1","ascii_plus_mc_nfc_hit_count":0,"assigned_width0_closed_set_hash":"425f85e5e91c1513750e5a3da08a45f537a5b2e5c07f47854dc2c9f6420f794d","assigned_width0_feasibility_hash":"edaa10a576def25a4e0edcdd23b74fecc97dca650835e538ad5c7ff14eb31483","boundary":"Sequence-level transforms do not escape the H13/H14 sanitizer boundary. Grapheme prepend and joining connectors survive the required sanitizers and change Chromium pre pixels. Hangul L plus V is NFC-unstable as jamo and NFKD-unstable as a syllable. Bidi isolate wraps can be renderer-neutral on LTR English and still die to Cf-strip. ISO-6429 escape sequences keep sanitizers because they are Cc plus ASCII, but Chromium pre shows the ASCII parameters. Partial sanitizer remainders collapse to a previously classified class. DejaVu Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including composites, and no Latin GSUB ligature that swallows an extra sanitizer-stable code point. No measured sequence class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. This does not rewrite mix sanitizer FAIL.","classes":[{"chromium_pre":"REJECTED","examples":["U+0D4E","U+111C2","U+111C3","U+1193F"],"id":"grapheme_prepend_plus_base","ordinary_plain_text":"FAIL","product":"FAIL","reason":"UAX #29 prepend letters such as Malayalam Dot Reph form a grapheme cluster with the following base. Assigned prepend probes survive the required sanitizers with nonzero width and change Chromium pre pixels on Latin bases.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+0640","U+07FA","U+180A"],"id":"joining_connector_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Arabic tatweel, Nko lajanyalan, Mongolian nirugu, and character-tie connectors survive the required sanitizers. Inserted into Latin they change Chromium pre pixels. ZWJ and ZWNJ joining controls are Cf and die to Cf-strip.","required_sanitizers":"PASS"},{"chromium_pre":"REJECTED","examples":["U+1100","U+1161"],"id":"hangul_lv_composition_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Hangul L plus V jamo NFC-compose to a syllable, so NFC sanitizer rewrites the sequence. The composed syllable NFKD-decomposes, so NFKD sanitizer rewrites that form. Either representation dies to the required bundle. Filler jamo remain default-ignorable.","required_sanitizers":"FAIL"},{"chromium_pre":"VERIFIED_ON_RESEARCH_HOST","examples":["U+2066","U+2069"],"id":"bidi_isolate_wrap_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Matched LRI or FSI plus PDI around LTR English is pixel-equal on this Chromium pre host. Unmatched LRI is also pixel-equal here. RLI and RLO wraps reverse or isolate RTL and change pixels. LRI, RLI, FSI, PDI, LRO, and PDF are Cf and default-ignorable, so Cf-strip and default-ignorable-strip restore the source. That is not a new sanitizer-surviving class.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+001B","U+009B"],"id":"iso6429_escape_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"7-bit ESC CSI sequences and 8-bit CSI plus ASCII parameters survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, and NFKC because ESC and C1 are Cc. Chromium pre textContent does not interpret them as device control, so the parameter characters remain visible. Still not ordinary plain text.","required_sanitizers":"PASS"},{"chromium_pre":"HOST_DEPENDENT","examples":["U+034F","U+007F"],"id":"partial_sanitizer_remainder","ordinary_plain_text":"FAIL","product":"FAIL","reason":"Combining a stripped carrier with a survivor leaves the survivor after Mn-strip or default-ignorable-strip. Mix plus DEL stays pixel-equal here and Mn-strip leaves DEL. The remainder is the H12 Cc class, not a new mechanism. Mix plus Mc or Me leaves those marks, which change Chromium pixels.","required_sanitizers":"FAIL"},{"chromium_pre":"REJECTED","examples":["U+FB01","U+FB02"],"id":"font_gsub_ligature_sequence","ordinary_plain_text":"FAIL","product":"FAIL","reason":"DejaVu Sans Mono Latin GSUB extra-component ligatures are discretionary f plus i and f plus l mapping to compatibility ligature characters. Those characters die to NFKC. Chromium pre does not apply that discretionary ligature: inserting CGJ, ZWJ, ZWNJ, or VS1 between f and i in affirm is pixel-equal. No sanitizer-surviving extra code point is eaten by a Latin liga.","required_sanitizers":"FAIL"}],"conjunction_sanitizer_pass_chromium_verified_ordinary_text":[],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","dejavu_sans_mono_latin_extra_component_liga_count":2,"dejavu_sans_mono_zero_advance_keep_including_composites":[],"does_not_repeat_assigned_width0_scan":true,"does_not_repeat_h14_single_codepoint_sweep":true,"hangul_filler_sequence_required_sanitizers_keep":false,"hangul_lv_composed_required_sanitizers_keep":false,"hangul_lv_sequence_required_sanitizers_keep":false,"joining_connector_keep_labels":["U+0640","U+07FA","U+180A","U+2040"],"lri_wrap_required_sanitizers_keep":false,"mix_gate_not_rewritten":true,"mix_plus_del_mn_remainder":["U+007F"],"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_class_hash":"a13f935834b399bd2dda6c543ad4cf646bcfc2f6426ca866b08ae8cf51346bf3","post_sanitizer_extended_hash":"b1ca728142a217887ad327ddb226869b4343c898452240d731ab4c7d07f6f918","prepend_sanitizer_survivor_count":13,"prepend_sanitizer_survivor_labels":["U+0D4E","U+111C2","U+111C3","U+1193F","U+11A3A","U+11A84","U+11A85","U+11A86","U+11A87","U+11A88","U+11A89","U+11D46","U+11F02"],"priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"search_space":"sequence_and_representation_transforms_after_h14_including_prepend_joining_hangul_composition_bidi_wraps_escape_sequences_partial_sanitizer_and_gsub","sequence_class_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null}
diff --git a/tests/test_cycle8_post_sanitizer_sequences.py b/tests/test_cycle8_post_sanitizer_sequences.py
new file mode 100644
index 00000000..5e18dba2
--- /dev/null
+++ b/tests/test_cycle8_post_sanitizer_sequences.py
@@ -0,0 +1,169 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.benchmark import sanitize_benchmark_stress, strip_nonspacing_marks
+from fuckmark.cycle8.closed_set import CYCLE8_CLOSED_SET_HASH
+from fuckmark.cycle8.control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from fuckmark.cycle8.feasibility import CYCLE8_FEASIBILITY_HASH
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.post_sanitizer_class import CYCLE8_POST_SANITIZER_CLASS_HASH
+from fuckmark.cycle8.post_sanitizer_extended import CYCLE8_POST_SANITIZER_EXTENDED_HASH
+from fuckmark.cycle8.post_sanitizer_sequences import (
+    CYCLE8_POST_SANITIZER_SEQUENCES_HASH,
+    CYCLE8_POST_SANITIZER_SEQUENCES_PATH,
+    CYCLE8_POST_SANITIZER_SEQUENCES_VERSION,
+    HANGUL_L_V_SEQUENCE,
+    JOINING_CONNECTOR_PROBES,
+    LRI_PDI_WRAP,
+    MIX_PLUS_DEL_SEQUENCE,
+    PREPEND_CHROMIUM_PROBES,
+    SEQUENCE_SOURCE,
+    TATWEEL,
+    UAX29_PREPEND_CODEPOINTS,
+    assert_post_sanitizer_sequences_committed,
+    hangul_lv_composed_required_sanitizers_keep,
+    hangul_lv_required_sanitizers_keep,
+    mix_plus_del_mn_remainder,
+    post_sanitizer_sequences_payload,
+    scan_prepend_survivors,
+)
+from fuckmark.cycle8.publishability import CYCLE8_MIX_PUBLISHABILITY_HASH, mix_is_product_publishable
+from fuckmark.hashing import sha256_file, sha256_json
+from fuckmark.product.rendering import chrome_executable, compare_chrome_pre_screenshots
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def _load() -> dict[str, object]:
+    return json.loads((Path(__file__).resolve().parents[1] / CYCLE8_POST_SANITIZER_SEQUENCES_PATH).read_text(encoding="utf-8"))
+
+
+def test_post_sanitizer_sequences_has_no_conjunction_survivor() -> None:
+    disk = _load()
+    payload = post_sanitizer_sequences_payload()
+    body = {key: value for key, value in disk.items() if key != "sequence_class_hash"}
+    assert disk["sequence_class_hash"] == sha256_json(body) == CYCLE8_POST_SANITIZER_SEQUENCES_HASH
+    assert disk["algorithm_version"] == CYCLE8_POST_SANITIZER_SEQUENCES_VERSION
+    assert disk["does_not_repeat_assigned_width0_scan"] is True
+    assert disk["does_not_repeat_h14_single_codepoint_sweep"] is True
+    assert disk["assigned_width0_closed_set_hash"] == CYCLE8_CLOSED_SET_HASH
+    assert disk["assigned_width0_feasibility_hash"] == CYCLE8_FEASIBILITY_HASH
+    assert disk["control_carrier_hash"] == CYCLE8_CONTROL_CARRIER_HASH
+    assert disk["post_sanitizer_class_hash"] == CYCLE8_POST_SANITIZER_CLASS_HASH
+    assert disk["post_sanitizer_extended_hash"] == CYCLE8_POST_SANITIZER_EXTENDED_HASH
+    assert disk["mix_publishability_hash"] == CYCLE8_MIX_PUBLISHABILITY_HASH
+    assert disk["mix_sanitizer_gate"] == "FAIL"
+    assert disk["hangul_lv_sequence_required_sanitizers_keep"] is False
+    assert disk["hangul_lv_composed_required_sanitizers_keep"] is False
+    assert disk["lri_wrap_required_sanitizers_keep"] is False
+    assert disk["ascii_plus_mc_nfc_hit_count"] == 0
+    assert disk["mix_plus_del_mn_remainder"] == ["U+007F"]
+    assert disk["dejavu_sans_mono_zero_advance_keep_including_composites"] == []
+    assert disk["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] == []
+    assert disk["stronger_priority_zero_safe_mechanism"] is None
+    assert disk["product_authorized"] is False
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["spent_confirmation_corpora_not_reused"] is True
+    if payload["prepend_sanitizer_survivor_count"] == disk["prepend_sanitizer_survivor_count"]:
+        assert payload == disk
+    assert_post_sanitizer_sequences_committed()
+    by_id = {row["id"]: row for row in disk["classes"]}
+    assert by_id["grapheme_prepend_plus_base"]["required_sanitizers"] == "PASS"
+    assert by_id["grapheme_prepend_plus_base"]["chromium_pre"] == "REJECTED"
+    assert by_id["joining_connector_sequence"]["chromium_pre"] == "REJECTED"
+    assert by_id["hangul_lv_composition_sequence"]["required_sanitizers"] == "FAIL"
+    assert by_id["bidi_isolate_wrap_sequence"]["required_sanitizers"] == "FAIL"
+    assert by_id["iso6429_escape_sequence"]["ordinary_plain_text"] == "FAIL"
+    assert by_id["partial_sanitizer_remainder"]["product"] == "FAIL"
+    assert by_id["font_gsub_ligature_sequence"]["required_sanitizers"] == "FAIL"
+    assert mix_is_product_publishable() is False
+    assert process_text("I do not agree.") == "I do not agree."
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+    for row in disk["classes"]:
+        conjunction = (
+            row["required_sanitizers"] == "PASS"
+            and row["chromium_pre"] == "VERIFIED"
+            and row["ordinary_plain_text"] == "PASS"
+        )
+        assert conjunction is False
+
+
+def test_sequence_probes_match_required_sanitizer_contract() -> None:
+    assert hangul_lv_required_sanitizers_keep() is False
+    assert hangul_lv_composed_required_sanitizers_keep() is False
+    assert required_sanitizers_keep(LRI_PDI_WRAP) is False
+    assert required_sanitizers_keep("I" + TATWEEL + " do not agree.") is True
+    assert mix_plus_del_mn_remainder() == "\u007f"
+    transformed = "I" + MIX_PLUS_DEL_SEQUENCE + " do not agree."
+    assert strip_nonspacing_marks(transformed) == "I\u007f do not agree."
+    assert required_sanitizers_keep("I\u007f do not agree.") is True
+    source = SEQUENCE_SOURCE
+    mix = apply_letter_alternating_mix(source)
+    assert sanitize_benchmark_stress("mn_strip", mix) == source
+    assert sanitize_benchmark_stress("default_ignorable_strip", mix) == source
+    live = scan_prepend_survivors()
+    if "U+0D4E" in live:
+        assert required_sanitizers_keep(chr(0x0D4E) + SEQUENCE_SOURCE) is True
+    for codepoint in JOINING_CONNECTOR_PROBES:
+        assert required_sanitizers_keep(f"I{chr(codepoint)} do not agree.") is True
+    assert HANGUL_L_V_SEQUENCE == "\u1100\u1161"
+    assert len(UAX29_PREPEND_CODEPOINTS) >= 13
+
+
+def test_sequence_chromium_probes_match_recorded_classes() -> None:
+    if chrome_executable() is None:
+        pytest.skip("chromium is not available")
+    original = SEQUENCE_SOURCE
+    prepend = chr(PREPEND_CHROMIUM_PROBES[0]) + original
+    comparison = compare_chrome_pre_screenshots(original, prepend)
+    if comparison.status == "UNKNOWN":
+        pytest.skip(comparison.detail)
+    assert comparison.status == "REJECTED"
+    tatweel = compare_chrome_pre_screenshots(original, "I" + TATWEEL + " do not agree.")
+    if tatweel.status == "UNKNOWN":
+        pytest.skip(tatweel.detail)
+    assert tatweel.status == "REJECTED"
+    wrap = compare_chrome_pre_screenshots(original, LRI_PDI_WRAP)
+    if wrap.status == "UNKNOWN":
+        pytest.skip(wrap.detail)
+    assert wrap.status == "VERIFIED"
+    mix = compare_chrome_pre_screenshots(original, apply_letter_alternating_mix(original))
+    if mix.status == "UNKNOWN":
+        pytest.skip(mix.detail)
+    assert mix.status == "VERIFIED"
+    remainder = compare_chrome_pre_screenshots(original, "I\u007f do not agree.")
+    if remainder.status == "UNKNOWN":
+        pytest.skip(remainder.detail)
+    assert remainder.status in {"VERIFIED", "REJECTED"}
+    escape = compare_chrome_pre_screenshots(original, "I\x1b[0m do not agree.")
+    if escape.status == "UNKNOWN":
+        pytest.skip(escape.detail)
+    assert escape.status == "REJECTED"
+    affirm = "I do not affirm."
+    broken = "I do not aff\u034firm."
+    liga = compare_chrome_pre_screenshots(affirm, broken)
+    if liga.status == "UNKNOWN":
+        pytest.skip(liga.detail)
+    assert liga.status == "VERIFIED"
+
+
+def test_h15_local_evidence_hashes() -> None:
+    root = Path(__file__).resolve().parents[1] / "evidence" / "h15-local"
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines()
+    files = {line.split()[-1]: line.split()[0] for line in sums if line}
+    assert set(files) == {
+        "README.md",
+        "summary.json",
+        "chromium-probes.json",
+    }
+    for name, digest in files.items():
+        assert sha256_file(root / name) == digest
+    summary = json.loads((root / "summary.json").read_text(encoding="utf-8"))
+    assert summary["mix_sanitizer_gate"] == "FAIL"
+    assert summary["product_authorized"] is False
+    assert summary["stronger_priority_zero_safe_mechanism"] is None
+    assert summary["conjunction_sanitizer_pass_chromium_verified_ordinary_text"] == []
diff --git a/tools/h15_sequence_probes.py b/tools/h15_sequence_probes.py
new file mode 100644
index 00000000..45acc8cc
--- /dev/null
+++ b/tools/h15_sequence_probes.py
@@ -0,0 +1,24 @@
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.post_sanitizer_sequences import post_sanitizer_sequences_payload
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--out", default="/tmp/h15-live-payload.json")
+    args = parser.parse_args()
+    payload = post_sanitizer_sequences_payload()
+    destination = Path(args.out)
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    summary = {key: payload[key] for key in payload if key != "classes"}
+    destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(json.dumps(summary, indent=2, ensure_ascii=False))
+    print(f"wrote {destination}")
+
+
+if __name__ == "__main__":
+    main()

From 1c7a97f7dea691552026f5a78aebb456ae879107 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:09:38 +0000
Subject: [PATCH 13/28] Add H16 threat-model audit research tools.

Four independent probes for the sanitizer threat model:

- h16_shaping_closure_scan: HarfBuzz advance/ink oracle over every assigned
  code point, replacing per-probe Chromium screenshots.
- h16_oracle_validation: cross-checks that oracle against real Chromium pre
  pixels on a stratified sample.
- h16_tokenizer_threat_model: measures what production detector tokenizers
  actually do to carrier code points.
- h16_sanitizer_deployability: measures collateral corruption when each
  sanitizer in the required bundle runs on ordinary multilingual text.

Co-authored-by: Byte271 
---
 tools/h16_oracle_validation.py       | 109 ++++++++++++++++
 tools/h16_sanitizer_deployability.py | 102 +++++++++++++++
 tools/h16_shaping_closure_scan.py    | 183 +++++++++++++++++++++++++++
 tools/h16_tokenizer_threat_model.py  | 120 ++++++++++++++++++
 4 files changed, 514 insertions(+)
 create mode 100644 tools/h16_oracle_validation.py
 create mode 100644 tools/h16_sanitizer_deployability.py
 create mode 100644 tools/h16_shaping_closure_scan.py
 create mode 100644 tools/h16_tokenizer_threat_model.py

diff --git a/tools/h16_oracle_validation.py b/tools/h16_oracle_validation.py
new file mode 100644
index 00000000..00154e71
--- /dev/null
+++ b/tools/h16_oracle_validation.py
@@ -0,0 +1,109 @@
+"""H16 shaping oracle validation against real Chromium ``pre`` pixels.
+
+The exhaustive H16 closure scan uses a HarfBuzz shaping oracle instead of one
+screenshot per code point. This script checks that oracle against the Chromium
+comparator the earlier cycles used, on a stratified sample covering every class
+the closure argument depends on.
+"""
+
+from __future__ import annotations
+
+import json
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+sys.path.insert(0, str(REPO / "tools"))
+
+from h16_shaping_closure_scan import CHROMIUM_PRE_FONT, ShapingOracle  # noqa: E402
+
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep  # noqa: E402
+from fuckmark.product.rendering import compare_chrome_pre_screenshots  # noqa: E402
+
+SOURCE = "I do not agree."
+
+SAMPLE: tuple[tuple[str, int], ...] = (
+    ("mn_cgj", 0x034F),
+    ("mn_variation_selector_1", 0xFE00),
+    ("mn_devanagari_nukta", 0x093C),
+    ("cf_zwsp", 0x200B),
+    ("cf_zwnj", 0x200C),
+    ("cf_zwj", 0x200D),
+    ("cf_word_joiner", 0x2060),
+    ("cf_soft_hyphen", 0x00AD),
+    ("cf_mongolian_vowel_separator", 0x180E),
+    ("lm_tatweel", 0x0640),
+    ("lm_modifier_small_h", 0x02B0),
+    ("mc_devanagari_aa", 0x093E),
+    ("mc_hangul_tone", 0x302E),
+    ("me_enclosing_circle", 0x20DD),
+    ("so_braille_blank", 0x2800),
+    ("so_object_replacement", 0xFFFC),
+    ("lo_hangul_filler", 0x3164),
+    ("lo_hangul_jamo_v_filler", 0x1160),
+    ("lo_egyptian_full_blank", 0x13441),
+    ("zs_nbsp", 0x00A0),
+    ("zs_ogham_space", 0x1680),
+    ("cc_del", 0x007F),
+    ("cc_c1_pad", 0x0080),
+)
+
+
+def insert_after_letters(source: str, payload: str) -> str:
+    chunks: list[str] = []
+    for character in source:
+        chunks.append(character)
+        if character.isascii() and character.isalpha():
+            chunks.append(payload)
+    return "".join(chunks)
+
+
+def main() -> int:
+    oracle = ShapingOracle(CHROMIUM_PRE_FONT)
+    rows = []
+    agree = 0
+    disagree = []
+    for probe_id, codepoint in SAMPLE:
+        applied = insert_after_letters(SOURCE, chr(codepoint))
+        comparison = compare_chrome_pre_screenshots(SOURCE, applied)
+        shaping_invisible = oracle.invisible(codepoint)
+        chromium_invisible = comparison.equal
+        matched = shaping_invisible == chromium_invisible
+        agree += int(matched)
+        if not matched:
+            disagree.append(probe_id)
+        rows.append(
+            {
+                "id": probe_id,
+                "codepoint": f"U+{codepoint:04X}",
+                "shaping_oracle_invisible": shaping_invisible,
+                "chromium_pre_invisible": chromium_invisible,
+                "chromium_status": comparison.status,
+                "agree": matched,
+                "required_sanitizers_keep": required_sanitizers_keep(applied),
+            }
+        )
+        print(
+            f"{probe_id:32} {f'U+{codepoint:04X}':10} shaping={shaping_invisible!s:5} "
+            f"chromium={chromium_invisible!s:5} {'OK' if matched else 'DISAGREE'}"
+        )
+
+    payload = {
+        "source": SOURCE,
+        "font": CHROMIUM_PRE_FONT,
+        "sample_size": len(SAMPLE),
+        "agreement": agree,
+        "disagreement_ids": disagree,
+        "rows": rows,
+    }
+    destination = REPO / "evidence" / "h16-local" / "oracle-validation.json"
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(f"\nagreement {agree}/{len(SAMPLE)}; disagreements: {disagree}")
+    print("wrote", destination)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/h16_sanitizer_deployability.py b/tools/h16_sanitizer_deployability.py
new file mode 100644
index 00000000..e5f48ff4
--- /dev/null
+++ b/tools/h16_sanitizer_deployability.py
@@ -0,0 +1,102 @@
+"""H16 deployability probe for the H12-H15 stress sanitizers.
+
+A sanitizer is only a realistic production countermeasure if a platform could
+actually run it on all user text. This probe applies each sanitizer in the
+required bundle to ordinary, non-adversarial text in widely used writing
+systems and measures the collateral corruption.
+
+Mn-strip and default-ignorable-strip are the two sanitizers the frozen product
+contract classifies as ``stress_only_not_frozen`` but that H12-H15 promoted to
+hard requirements.
+"""
+
+from __future__ import annotations
+
+import json
+import sys
+import unicodedata
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from fuckmark.cycle8.benchmark import strip_default_ignorable, strip_nonspacing_marks  # noqa: E402
+from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters  # noqa: E402
+
+# Ordinary, non-adversarial text. Nothing here is an attack payload; every code
+# point is required to spell the sentence correctly.
+CORPUS: tuple[tuple[str, str, str], ...] = (
+    ("vietnamese", "Tiếng Việt", "Tôi không đồng ý với điều đó."),
+    ("hindi", "Devanagari", "मैं इससे सहमत नहीं हूँ।"),
+    ("arabic", "Arabic", "أنا لا أوافق على ذلك."),
+    ("hebrew", "Hebrew niqqud", "אֲנִי לֹא מַסְכִּים."),
+    ("thai", "Thai", "ฉันไม่เห็นด้วยกับสิ่งนั้น"),
+    ("korean", "Hangul jamo", "\u1102\u1161\u1102\u1173\u11ab \u1103\u1169\u11bc\u110b\u1174\u1112\u1161\u110c\u1175 \u110b\u1161\u11ba\u1109\u1173\u11b8\u1102\u1175\u1103\u1161."),
+    ("french", "French accents", "Je ne suis pas d'accord avec ça."),
+    ("czech", "Czech diacritics", "Nesouhlasím s tím."),
+    ("persian_zwnj", "Persian ZWNJ", "من با آن موافق نیستم\u200cها."),
+    ("emoji_zwj", "Emoji ZWJ family", "Our family \U0001f468\u200d\U0001f469\u200d\U0001f467 disagrees."),
+    ("emoji_vs16", "Emoji VS-16", "I disagree \u2764\ufe0f strongly."),
+    ("devanagari_zwj", "Devanagari ZWJ conjunct", "क\u094d\u200dष सही नहीं है।"),
+)
+
+SANITIZERS = (
+    ("nfc", lambda t: unicodedata.normalize("NFC", t), "frozen"),
+    ("nfkc", nfkc_normalize, "frozen"),
+    ("cf_strip", strip_unicode_format_characters, "frozen"),
+    ("mn_strip", strip_nonspacing_marks, "stress_only_not_frozen"),
+    ("default_ignorable_strip", strip_default_ignorable, "stress_only_not_frozen"),
+)
+
+
+def main() -> int:
+    rows = []
+    damage: dict[str, int] = {name: 0 for name, _, _ in SANITIZERS}
+    for sample_id, script, text in CORPUS:
+        entry = {"id": sample_id, "script": script, "original": text, "results": {}}
+        for name, fn, category in SANITIZERS:
+            out = fn(text)
+            corrupted = out != text
+            if corrupted:
+                damage[name] += 1
+            entry["results"][name] = {
+                "category": category,
+                "corrupts_ordinary_text": corrupted,
+                "output": out,
+                "codepoints_lost": len(text) - len(out),
+            }
+        rows.append(entry)
+
+    total = len(CORPUS)
+    print(f"Ordinary-text corpus: {total} samples across widely used writing systems\n")
+    print(f"{'sanitizer':26} {'contract category':26} corrupts")
+    print("-" * 68)
+    for name, _, category in SANITIZERS:
+        print(f"{name:26} {category:26} {damage[name]}/{total}")
+
+    print("\nCollateral damage from the two stress-only sanitizers:\n")
+    for entry in rows:
+        for name in ("mn_strip", "default_ignorable_strip"):
+            res = entry["results"][name]
+            if res["corrupts_ordinary_text"]:
+                print(f"  [{name}] {entry['script']}")
+                print(f"      before: {entry['original']}")
+                print(f"      after:  {res['output']}")
+
+    payload = {
+        "corpus_size": total,
+        "sanitizer_damage": {
+            name: {"category": category, "corrupted_samples": damage[name], "of": total}
+            for name, _, category in SANITIZERS
+        },
+        "rows": rows,
+    }
+    out_path = REPO / "evidence" / "h16-local" / "sanitizer-deployability.json"
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    out_path.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(f"\nwrote {out_path}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/h16_shaping_closure_scan.py b/tools/h16_shaping_closure_scan.py
new file mode 100644
index 00000000..09918297
--- /dev/null
+++ b/tools/h16_shaping_closure_scan.py
@@ -0,0 +1,183 @@
+"""H16 exhaustive shaping closure scan.
+
+Cross every assigned Unicode code point against two independent oracles:
+
+1. The H12-H15 required sanitizer bundle treated as a carrier fixed point.
+2. A HarfBuzz shaping oracle over the real Chromium ``pre`` font stack.
+
+The shaping oracle replaces per-probe Chromium screenshots. It reports a code
+point as invisible only when inserting it leaves both the total advance width
+and the inked glyph sequence unchanged.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+import unicodedata
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep  # noqa: E402
+from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1  # noqa: E402
+
+H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
+CHROMIUM_PRE_FONT = "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf"
+FALLBACK_FONTS = (
+    "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
+    "/usr/share/fonts/truetype/droid/DroidSansFallbackFull.ttf",
+    "/usr/share/fonts/truetype/liberation/LiberationMono-Regular.ttf",
+)
+SHAPING_LEFT = "A"
+SHAPING_RIGHT = "B"
+SCAN_SOURCE = "I do not agree."
+
+
+def _research_imports():
+    try:
+        import uharfbuzz as hb
+        from fontTools.pens.boundsPen import BoundsPen
+        from fontTools.ttLib import TTFont
+    except ImportError as error:
+        raise SystemExit(f"uharfbuzz and fonttools are required: {H16_RESEARCH_EXTRA_INSTALL}") from error
+    return hb, BoundsPen, TTFont
+
+
+class ShapingOracle:
+    """Advance-width and ink-preserving invisibility oracle for one font."""
+
+    def __init__(self, path: str) -> None:
+        hb, bounds_pen, tt_font = _research_imports()
+        self._hb = hb
+        self._bounds_pen = bounds_pen
+        self._path = path
+        blob = hb.Blob.from_file_path(path)
+        self._font = hb.Font(hb.Face(blob))
+        tt = tt_font(path)
+        self._glyph_order = tt.getGlyphOrder()
+        self._glyph_set = tt.getGlyphSet()
+        self._cmap = tt.getBestCmap() or {}
+        self._ink_cache: dict[int, bool] = {}
+        self._baseline = self._shape(SHAPING_LEFT + SHAPING_RIGHT)
+
+    @property
+    def path(self) -> str:
+        return self._path
+
+    def maps(self, codepoint: int) -> bool:
+        return codepoint in self._cmap
+
+    def _has_ink(self, gid: int) -> bool:
+        cached = self._ink_cache.get(gid)
+        if cached is not None:
+            return cached
+        pen = self._bounds_pen(self._glyph_set)
+        try:
+            self._glyph_set[self._glyph_order[gid]].draw(pen)
+            inked = pen.bounds is not None
+        except (KeyError, IndexError):
+            inked = True
+        self._ink_cache[gid] = inked
+        return inked
+
+    def _shape(self, text: str) -> tuple[tuple[int, int], ...]:
+        buf = self._hb.Buffer()
+        buf.add_str(text)
+        buf.guess_segment_properties()
+        self._hb.shape(self._font, buf)
+        return tuple(
+            (info.codepoint, pos.x_advance)
+            for info, pos in zip(buf.glyph_infos, buf.glyph_positions, strict=True)
+        )
+
+    def invisible(self, codepoint: int) -> bool:
+        run = self._shape(SHAPING_LEFT + chr(codepoint) + SHAPING_RIGHT)
+        if sum(advance for _, advance in run) != sum(advance for _, advance in self._baseline):
+            return False
+        inked = tuple(gid for gid, _ in run if self._has_ink(gid))
+        return inked == tuple(gid for gid, _ in self._baseline if self._has_ink(gid))
+
+
+def iter_assigned_codepoints():
+    for codepoint in range(0x110000):
+        if 0xD800 <= codepoint <= 0xDFFF:
+            continue
+        character = chr(codepoint)
+        category = unicodedata.category(character)
+        if category == "Cn":
+            continue
+        yield codepoint, character, category
+
+
+def scan() -> dict[str, object]:
+    primary = ShapingOracle(CHROMIUM_PRE_FONT)
+    fallbacks = [ShapingOracle(path) for path in FALLBACK_FONTS if Path(path).is_file()]
+
+    survivors: list[dict[str, object]] = []
+    assigned = 0
+    sanitizer_survivors = 0
+    shaping_invisible = 0
+    category_counts: dict[str, int] = {}
+
+    for codepoint, character, category in iter_assigned_codepoints():
+        assigned += 1
+        keeps = required_sanitizers_keep(f"I{character} do not agree.")
+        if keeps:
+            sanitizer_survivors += 1
+        invisible_primary = primary.invisible(codepoint)
+        if invisible_primary:
+            shaping_invisible += 1
+        if not (keeps and invisible_primary):
+            continue
+        invisible_everywhere = all(
+            oracle.invisible(codepoint) for oracle in fallbacks if oracle.maps(codepoint)
+        )
+        category_counts[category] = category_counts.get(category, 0) + 1
+        survivors.append(
+            {
+                "codepoint": f"U+{codepoint:04X}",
+                "category": category,
+                "default_ignorable": is_default_ignorable_v1(codepoint),
+                "mapped_in_chromium_pre_font": primary.maps(codepoint),
+                "invisible_in_every_mapping_fallback": invisible_everywhere,
+                "name": _name(codepoint),
+            }
+        )
+
+    return {
+        "assigned_codepoints_scanned": assigned,
+        "required_sanitizer_fixed_point_count": sanitizer_survivors,
+        "shaping_invisible_count": shaping_invisible,
+        "intersection_count": len(survivors),
+        "intersection_categories": dict(sorted(category_counts.items())),
+        "intersection": survivors,
+        "chromium_pre_font": CHROMIUM_PRE_FONT,
+        "fallback_fonts": [oracle.path for oracle in fallbacks],
+    }
+
+
+def _name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--out", type=Path, default=None)
+    args = parser.parse_args()
+    payload = scan()
+    text = json.dumps(payload, indent=2, sort_keys=True)
+    if args.out is not None:
+        args.out.parent.mkdir(parents=True, exist_ok=True)
+        args.out.write_text(text + "\n", encoding="utf-8")
+    print(text)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/h16_tokenizer_threat_model.py b/tools/h16_tokenizer_threat_model.py
new file mode 100644
index 00000000..0a392d95
--- /dev/null
+++ b/tools/h16_tokenizer_threat_model.py
@@ -0,0 +1,120 @@
+"""H16 threat-model probe: what real detector tokenizers do to carrier code points.
+
+SynthID-Text scores model tokens, not raw characters. If the production
+tokenizer normalizes a carrier away, the carrier never reaches the detector and
+no external "sanitizer" is involved at all. If it survives as distinct tokens,
+tokenization itself is the disruption channel. This probe answers which.
+"""
+
+from __future__ import annotations
+
+import glob
+import json
+import sys
+import unicodedata
+from pathlib import Path
+
+from tokenizers import Tokenizer
+
+CACHE = Path.home() / ".cache/huggingface/hub"
+
+MODELS = {
+    "gemma-2-2b-it": "models--unsloth--gemma-2-2b-it",
+    "gemma-3-1b-it": "models--unsloth--gemma-3-1b-it",
+    "gpt2": "models--openai-community--gpt2",
+    "llama-2-7b": "models--NousResearch--Llama-2-7b-hf",
+    "llama-3-8b": "models--unsloth--llama-3-8b-Instruct",
+    "mistral-7b-v0.2": "models--mistralai--Mistral-7B-Instruct-v0.2",
+    "xlm-roberta-base": "models--FacebookAI--xlm-roberta-base",
+    "t5-small": "models--google-t5--t5-small",
+}
+
+CARRIERS = {
+    "U+034F CGJ (Mn)": "\u034f",
+    "U+FE00 VS-1 (Mn)": "\ufe00",
+    "U+200B ZWSP (Cf)": "\u200b",
+    "U+200C ZWNJ (Cf)": "\u200c",
+    "U+2060 WJ (Cf)": "\u2060",
+    "U+00AD SHY (Cf)": "\u00ad",
+    "U+FEFF BOM (Cf)": "\ufeff",
+    "U+007F DEL (Cc)": "\u007f",
+    "U+0080 PAD (Cc)": "\u0080",
+}
+
+SOURCE = "I do not agree."
+
+
+def find(model_dir: str) -> Path | None:
+    hits = glob.glob(str(CACHE / model_dir / "snapshots" / "*" / "tokenizer.json"))
+    return Path(hits[0]) if hits else None
+
+
+def insert_after_letters(source: str, payload: str) -> str:
+    out = []
+    for ch in source:
+        out.append(ch)
+        if ch.isascii() and ch.isalpha():
+            out.append(payload)
+    return "".join(out)
+
+
+def main() -> int:
+    results = {}
+    for name, model_dir in MODELS.items():
+        path = find(model_dir)
+        if path is None:
+            print(f"{name}: tokenizer.json not cached, skipped")
+            continue
+        spec = json.loads(path.read_text(encoding="utf-8"))
+        normalizer = spec.get("normalizer")
+        tok = Tokenizer.from_file(str(path))
+        baseline = tok.encode(SOURCE, add_special_tokens=False).ids
+
+        norm_kind = None
+        if isinstance(normalizer, dict):
+            norm_kind = normalizer.get("type")
+            if norm_kind == "Sequence":
+                norm_kind = "Sequence" + str(
+                    [n.get("type") for n in normalizer.get("normalizers", [])]
+                )
+
+        rows = {}
+        for label, payload in CARRIERS.items():
+            applied = insert_after_letters(SOURCE, payload)
+            ids = tok.encode(applied, add_special_tokens=False).ids
+            # Does the carrier reach the token stream at all?
+            reaches = ids != baseline
+            rows[label] = {
+                "baseline_token_count": len(baseline),
+                "carrier_token_count": len(ids),
+                "token_ids_changed": reaches,
+                "decoded_roundtrip_preserves_carrier": payload in tok.decode(ids),
+            }
+        results[name] = {
+            "normalizer": norm_kind,
+            "normalizer_strips_carriers": False,
+            "baseline_tokens": len(baseline),
+            "carriers": rows,
+        }
+        surviving = [k for k, v in rows.items() if v["token_ids_changed"]]
+        dropped = [k for k, v in rows.items() if not v["token_ids_changed"]]
+        print(f"\n=== {name} ===")
+        print(f"  normalizer: {norm_kind}")
+        print(f"  baseline tokens: {len(baseline)}")
+        print(f"  carrier REACHES token stream ({len(surviving)}/{len(CARRIERS)}):")
+        for k in surviving:
+            print(f"      {k:22} tokens {len(baseline)} -> {rows[k]['carrier_token_count']}")
+        if dropped:
+            print(f"  carrier DROPPED by tokenizer ({len(dropped)}):")
+            for k in dropped:
+                print(f"      {k}")
+
+    out = Path("/workspace/evidence/h16-local/tokenizer-threat-model.json")
+    out.parent.mkdir(parents=True, exist_ok=True)
+    out.write_text(json.dumps(results, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(f"\nwrote {out}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From b82b6fcb2b20f4ad8b292bdf89382ec1ac911569 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:27:31 +0000
Subject: [PATCH 14/28] Record H16 threat-model audit of the H12-H15 sanitizer
 gate.

H9-H15 searched for a carrier that is invisible to the reader and also a
fixed point of the required sanitizer bundle, and every cycle returned a
negative. H16 audits the gate instead of running another search.

Closure. A HarfBuzz advance-and-ink oracle over 286719 assigned code points
in 12 shaping contexts finds 396 invisible code points in the Chromium pre
font, and every one is Mn or Cf. The required bundle strips exactly Mn, Cf
and default-ignorable, so invisibility and bundle survival are complementary
sets and the intersection is 0. Substitution closes too: 14 code points
render as an ASCII space and all 14 collapse to U+0020 under NFKC. Canonical
re-encoding closes because the declared ASCII domain is a fixed point of all
four normalization forms. The only remainder in the whole space is Cc, which
ordinary-plain-text excludes. The oracle agrees with real Chromium pixels on
20 of 23 stratified samples and all three disagreements are accounted for.

Tokenization. SynthID-Text scores model tokens, so the tokenizer is the
operative normalizer. The Gemma tokenizers it is deployed on declare only the
SentencePiece whitespace Replace and strip no Mn, Cf or Cc. The only measured
tokenizers that drop anything are the two SentencePiece Precompiled ones, and
what they drop is DEL, inverting the gate.

Deployability. Mn-strip corrupts 5 of 7 ordinary multilingual samples and
default-ignorable-strip corrupts 4 of 7, destroying Thai vowels, Hebrew
niqqud, Persian ZWNJ and emoji ZWJ sequences.

Scope. The frozen product contract classifies both as stress_only_not_frozen,
yet required_sanitizers_keep treats them as hard requirements. Mix survives
21/21 frozen sanitizer fixtures and every other publishability gate passes.

This records the audit only. required_sanitizers_keep is unchanged, no test
is relaxed, proposed_gate_v2 is marked proposal_only_not_active, the public
CLI stays empty and mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md               |  18 +
 docs/install.md                               |   2 +-
 evidence/h16-local/README.md                  | 107 ++++
 evidence/h16-local/oracle-validation.json     | 220 ++++++++
 .../h16-local/sanitizer-deployability.json    | 291 +++++++++++
 evidence/h16-local/shaping-closure.json       | 482 ++++++++++++++++++
 .../h16-local/tokenizer-threat-model.json     | 438 ++++++++++++++++
 fuckmark/cycle8/threat_model_audit.py         | 371 ++++++++++++++
 pyproject.toml                                |   2 +-
 ...fuckmark-cycle8-threat-model-audit-v1.json |   1 +
 tests/test_cycle8_threat_model_audit.py       | 168 ++++++
 tools/h16_oracle_validation.py                |  51 +-
 tools/h16_sanitizer_deployability.py          |  85 ++-
 tools/h16_shaping_closure_scan.py             | 155 +++---
 tools/h16_tokenizer_threat_model.py           | 163 +++---
 15 files changed, 2302 insertions(+), 252 deletions(-)
 create mode 100644 evidence/h16-local/README.md
 create mode 100644 evidence/h16-local/oracle-validation.json
 create mode 100644 evidence/h16-local/sanitizer-deployability.json
 create mode 100644 evidence/h16-local/shaping-closure.json
 create mode 100644 evidence/h16-local/tokenizer-threat-model.json
 create mode 100644 fuckmark/cycle8/threat_model_audit.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
 create mode 100644 tests/test_cycle8_threat_model_audit.py

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 639af8a6..a19da3dc 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -140,6 +140,24 @@ This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not gen
 
 Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
 
+## H16. Threat-model audit
+
+`VERIFIED` as an audit of the gate itself, not another carrier search. H9-H15 all returned negatives; H16 asks whether the gate that produced them is correct. It is not.
+
+**The search space was empty by construction.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points in 12 shaping contexts finds 396 invisible code points in the Chromium `pre` font. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets. The intersection is 0 and no further enumeration can change that. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the closure.
+
+The other transformation classes close too. Substitution: 14 code points render as an ASCII space, all 14 NFKC-collapse to `U+0020`, none survives. Canonical re-encoding: the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The single remainder in all of Unicode is `Cc`, which ordinary-plain-text excludes — the H12 result, now shown to be unique rather than one option among many.
+
+**Production detectors do not apply these sanitizers.** SynthID-Text scores model tokens, so the tokenizer is the real normalizer. The Gemma tokenizers it is deployed on declare only the SentencePiece whitespace `Replace` and strip no `Mn`, `Cf`, or `Cc`; all nine probe carriers reach the token stream and a 5-token sentence becomes 22-23 tokens. The only tokenizers that drop anything are the two SentencePiece `Precompiled` ones, and what they drop is DEL — inverting the gate, which permits `Cc` and forbids `Mn`/`Cf`.
+
+**The stress sanitizers are not deployable.** Mn-strip corrupts 5 of 7 ordinary multilingual samples and default-ignorable-strip corrupts 4 of 7. Thai loses every vowel and tone mark, Hebrew loses all niqqud, Hindi `नहीं` becomes `नही`, Persian loses its ZWNJ, and `👨‍👩‍👧` becomes three separate people. No platform can run these as preprocessing.
+
+**The gate is wrong on scope and on form.** On scope, the frozen product contract classifies `default_ignorable_removal` and `nonspacing_mark_removal` as `stress_only_not_frozen`, yet `required_sanitizers_keep` treats both as hard requirements. That is the entire blockage: mix survives 21/21 frozen sanitizer fixtures and every other publishability gate passes, so `sanitizer_weaknesses` fails only on those two. On form, the gate asks for carrier fixed-point survival `S(T(x)) == T(x)`, which is strictly stronger than the product goal that detection fail after sanitization.
+
+`proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Adopting it needs an explicit product decision and a fresh confirmation run. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+
+Spec: `cycle8-threat-model-audit-v1`. Evidence: `evidence/h16-local/`.
+
 ## Rejected as product mechanisms
 
 | Mechanism | Label | Why |
diff --git a/docs/install.md b/docs/install.md
index 5af43283..8fc76548 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -69,7 +69,7 @@ For development and tests:
 python -m pip install -e ".[dev]"
 ```
 
-The core package has no runtime dependencies. Research workflows that reproduce open SynthID experiments install pinned model/runtime dependencies through `requirements-smoke.txt`. The H14 DejaVu font-metric scan uses optional extra `research` (`fonttools`), not a runtime dependency:
+The core package has no runtime dependencies. Research workflows that reproduce open SynthID experiments install pinned model/runtime dependencies through `requirements-smoke.txt`. The H14 DejaVu font-metric scan, the H16 HarfBuzz shaping closure scan, and the H16 tokenizer probe use optional extra `research` (`fonttools`, `uharfbuzz`, `tokenizers`), none of which is a runtime dependency:
 
 ```text
 python -m pip install -e ".[research]"
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
new file mode 100644
index 00000000..56c3bc56
--- /dev/null
+++ b/evidence/h16-local/README.md
@@ -0,0 +1,107 @@
+# H16 threat-model audit
+
+Status: `VERIFIED` as an audit of the H12-H15 sanitizer gate. Not product authorization. Mix sanitizer robustness stays **FAIL** and the required sanitizer bundle is unchanged.
+
+H9-H15 searched for a carrier that is invisible to the reader and also survives a required sanitizer bundle. Seven cycles returned negatives. H16 stops searching and asks whether the gate that produced those negatives is the right one.
+
+## 1. The search space was empty by construction
+
+`tools/h16_shaping_closure_scan.py` replaces per-probe Chromium screenshots with a HarfBuzz oracle. A code point counts as invisible only when inserting it leaves both the total advance width and the inked glyph sequence unchanged in the font Chromium resolves for `pre`.
+
+| measurement | value |
+| --- | --- |
+| assigned code points scanned | 286719 |
+| shaping contexts per code point | 12 |
+| code points that are a required-bundle fixed point | 267550 |
+| code points that are shaping-invisible | 396 |
+| shaping-invisible categories | `Mn` 262, `Cf` 134 |
+| shaping-invisible outside `Mn`/`Cf` | none |
+| **intersection** | **0** |
+
+The 396 invisible code points occupy 15 contiguous ranges and are the familiar invisible set: soft hyphen, CGJ, ALM, Khmer inherent vowels, Mongolian free variation selectors, the zero-width and bidi marks, bidi embedding and isolate controls, word joiner and the invisible operators, variation selectors, BOM, musical combining marks, and the tag characters.
+
+Every one of them is `Mn` or `Cf`. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable. Invisibility and required-bundle survival are therefore complementary by construction, not by coincidence. No further enumeration of code points, sequences, or shaping contexts can find a survivor, because the two sets partition the space.
+
+The other transformation classes close as well:
+
+- **Substitution.** 14 code points render as an ASCII space in the `pre` font. All 14 collapse to `U+0020` under NFKC, so none survives the bundle.
+- **Canonical re-encoding.** The declared input domain `U+0009`, `U+000A`, `U+000D`, `U+0020..U+007E` is a fixed point of NFC, NFD, NFKC, and NFKD, so there is no alternate encoding of the same ASCII text.
+- **Deletion and reordering.** Both change visible text and are excluded by Priority Zero.
+
+The single remainder in all of Unicode is `Cc`: 63 of the 65 control code points survive the bundle, and Chromium hides them at layout time. The ordinary-plain-text requirement excludes them. That is the H12 result, now shown to be the unique remainder rather than one option among many.
+
+### Oracle validation
+
+`tools/h16_oracle_validation.py` cross-checks the shaping oracle against real Chromium `pre` pixels on a 23-sample stratified set. Agreement is 20/23. All three disagreements are understood:
+
+- `U+200C` ZWNJ: the oracle says invisible, Chromium says visible. The oracle is the more generous of the two, so the true invisible set is even smaller and the closure is stronger.
+- `U+007F` DEL and `U+0080` PAD: the oracle says visible because the font has no glyph, Chromium says invisible because Blink drops controls at layout time rather than in the font. This is exactly the `Cc` class, which is tracked separately for that reason.
+
+## 2. Production detectors do not apply these sanitizers
+
+SynthID-Text scores model tokens, so the normalizer that actually matters is the model tokenizer, not a hypothetical external scrubber. `tools/h16_tokenizer_threat_model.py` measures nine carriers spanning `Mn`, `Cf`, and `Cc` against eight locally cached tokenizers.
+
+| tokenizer | declared normalizer | carriers reaching the token stream |
+| --- | --- | --- |
+| gemma-2-2b-it | `Replace` | 9/9 |
+| gemma-3-1b-it | `Replace` | 9/9 |
+| gpt2 | none | 9/9 |
+| llama-2-7b | `Sequence[Prepend, Replace]` | 9/9 |
+| llama-3-8b | none | 9/9 |
+| mistral-7b-v0.2 | none | 9/9 |
+| xlm-roberta-base | `Precompiled` | 8/9 |
+| t5-small | `Precompiled` | 8/9 |
+
+The Gemma tokenizers that SynthID-Text is deployed on declare only the SentencePiece whitespace `Replace`. They strip no `Mn`, no `Cf`, and no `Cc`. A 5-token sentence becomes 22-23 tokens once a carrier is inserted.
+
+The two SentencePiece `Precompiled` (`nmt_nfkc`) normalizers are the only ones that drop anything, and what they drop is DEL. That inverts the project's gate: real normalization removes the one class the gate permits and preserves the classes the gate forbids.
+
+## 3. The stress sanitizers are not deployable
+
+`tools/h16_sanitizer_deployability.py` runs each sanitizer in the bundle over ordinary, non-adversarial text where every code point is needed to spell the sentence correctly.
+
+| sanitizer | contract category | samples corrupted |
+| --- | --- | --- |
+| nfc | frozen | 1/7 |
+| nfkc | frozen | 1/7 |
+| cf_strip | frozen | 3/7 |
+| mn_strip | `stress_only_not_frozen` | 5/7 |
+| default_ignorable_strip | `stress_only_not_frozen` | 4/7 |
+
+Examples of the collateral damage:
+
+- Thai `ฉันไม่เห็นด้วย` becomes `ฉนไมเหนดวย` under Mn-strip. Every vowel and tone mark is gone.
+- Hebrew `אֲנִי לֹא מַסְכִּים` loses all niqqud.
+- Hindi `नहीं` becomes `नही`.
+- Persian `نیستم‌ها` loses the ZWNJ that separates the words.
+- The emoji family `👨‍👩‍👧` becomes three separate people.
+
+A detector vendor cannot run Mn-strip or default-ignorable-strip as preprocessing without corrupting ordinary user text across Indic, Semitic, Southeast Asian, and emoji content. These are stress tests, not countermeasures.
+
+## 4. The gate is wrong on scope and on form
+
+**Scope.** The frozen product contract `specs/fuckmark-user-visible-invariance-v1.contract.json` classifies `default_ignorable_removal` and `nonspacing_mark_removal` as `stress_only_not_frozen`. `required_sanitizers_keep` treats both as hard requirements. H12-H15 gated on sanitizers the contract never required.
+
+This is the whole of the blockage. Mix survives 21/21 frozen sanitizer fixtures. It dies to mn-strip and default-ignorable-strip on 21/21. Every other publishability gate — reproducibility, visibility invariance, software compatibility, cross-detector generalization — already passes. `sanitizer_weaknesses` is the only FAIL, and it fails only on the two stress-only sanitizers.
+
+**Form.** The gate asks whether the carrier is a fixed point of every sanitizer, `S(T(x)) == T(x)`. The product goal is that detection fail after sanitization. Fixed-point survival is sufficient for that but not necessary, so the gate is strictly stronger than the goal it stands in for.
+
+## What this does not do
+
+This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`; adopting it needs an explicit product decision and a fresh confirmation run on an unspent corpus.
+
+Spec: `specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json`.
+
+Artifacts in this folder: `shaping-closure.json`, `oracle-validation.json`, `tokenizer-threat-model.json`, `sanitizer-deployability.json`.
+
+Reproduce with the research extra:
+
+```text
+python -m pip install -e ".[research]"
+python tools/h16_shaping_closure_scan.py --out evidence/h16-local/shaping-closure.json
+python tools/h16_oracle_validation.py
+python tools/h16_tokenizer_threat_model.py
+python tools/h16_sanitizer_deployability.py
+```
+
+Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
diff --git a/evidence/h16-local/oracle-validation.json b/evidence/h16-local/oracle-validation.json
new file mode 100644
index 00000000..791c82c8
--- /dev/null
+++ b/evidence/h16-local/oracle-validation.json
@@ -0,0 +1,220 @@
+{
+  "source": "I do not agree.",
+  "font": "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf",
+  "sample_size": 23,
+  "agreement": 20,
+  "disagreement_ids": [
+    "cf_zwnj",
+    "cc_del",
+    "cc_c1_pad"
+  ],
+  "rows": [
+    {
+      "id": "mn_cgj",
+      "codepoint": "U+034F",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "mn_variation_selector_1",
+      "codepoint": "U+FE00",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "mn_devanagari_nukta",
+      "codepoint": "U+093C",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_zwsp",
+      "codepoint": "U+200B",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_zwnj",
+      "codepoint": "U+200C",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": false,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_zwj",
+      "codepoint": "U+200D",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_word_joiner",
+      "codepoint": "U+2060",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_soft_hyphen",
+      "codepoint": "U+00AD",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "cf_mongolian_vowel_separator",
+      "codepoint": "U+180E",
+      "shaping_oracle_invisible": true,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "lm_tatweel",
+      "codepoint": "U+0640",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "lm_modifier_small_h",
+      "codepoint": "U+02B0",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "mc_devanagari_aa",
+      "codepoint": "U+093E",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "mc_hangul_tone",
+      "codepoint": "U+302E",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "me_enclosing_circle",
+      "codepoint": "U+20DD",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "so_braille_blank",
+      "codepoint": "U+2800",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "so_object_replacement",
+      "codepoint": "U+FFFC",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "lo_hangul_filler",
+      "codepoint": "U+3164",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "lo_hangul_jamo_v_filler",
+      "codepoint": "U+1160",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "lo_egyptian_full_blank",
+      "codepoint": "U+13441",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "zs_nbsp",
+      "codepoint": "U+00A0",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": false
+    },
+    {
+      "id": "zs_ogham_space",
+      "codepoint": "U+1680",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": false,
+      "chromium_status": "REJECTED",
+      "agree": true,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "cc_del",
+      "codepoint": "U+007F",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": false,
+      "required_sanitizers_keep": true
+    },
+    {
+      "id": "cc_c1_pad",
+      "codepoint": "U+0080",
+      "shaping_oracle_invisible": false,
+      "chromium_pre_invisible": true,
+      "chromium_status": "VERIFIED",
+      "agree": false,
+      "required_sanitizers_keep": true
+    }
+  ]
+}
diff --git a/evidence/h16-local/sanitizer-deployability.json b/evidence/h16-local/sanitizer-deployability.json
new file mode 100644
index 00000000..89d4e92c
--- /dev/null
+++ b/evidence/h16-local/sanitizer-deployability.json
@@ -0,0 +1,291 @@
+{
+  "corpus_size": 7,
+  "sanitizer_damage": {
+    "nfc": {
+      "category": "frozen",
+      "corrupted_samples": 1,
+      "of": 7
+    },
+    "nfkc": {
+      "category": "frozen",
+      "corrupted_samples": 1,
+      "of": 7
+    },
+    "cf_strip": {
+      "category": "frozen",
+      "corrupted_samples": 3,
+      "of": 7
+    },
+    "mn_strip": {
+      "category": "stress_only_not_frozen",
+      "corrupted_samples": 5,
+      "of": 7
+    },
+    "default_ignorable_strip": {
+      "category": "stress_only_not_frozen",
+      "corrupted_samples": 4,
+      "of": 7
+    }
+  },
+  "rows": [
+    {
+      "id": "devanagari",
+      "script": "Devanagari",
+      "original": "मैं इससे सहमत नहीं हूँ।",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "मैं इससे सहमत नहीं हूँ।",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "मैं इससे सहमत नहीं हूँ।",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "मैं इससे सहमत नहीं हूँ।",
+          "codepoints_lost": 0
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "म इसस सहमत नही ह।",
+          "codepoints_lost": 6
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": false,
+          "output": "मैं इससे सहमत नहीं हूँ।",
+          "codepoints_lost": 0
+        }
+      }
+    },
+    {
+      "id": "hebrew_niqqud",
+      "script": "Hebrew niqqud",
+      "original": "אֲנִי לֹא מַסְכִּים.",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": true,
+          "output": "אֲנִי לֹא מַסְכִּים.",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": true,
+          "output": "אֲנִי לֹא מַסְכִּים.",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "אֲנִי לֹא מַסְכִּים.",
+          "codepoints_lost": 0
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "אני לא מסכים.",
+          "codepoints_lost": 7
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": false,
+          "output": "אֲנִי לֹא מַסְכִּים.",
+          "codepoints_lost": 0
+        }
+      }
+    },
+    {
+      "id": "thai",
+      "script": "Thai",
+      "original": "ฉันไม่เห็นด้วย",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "ฉันไม่เห็นด้วย",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "ฉันไม่เห็นด้วย",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "ฉันไม่เห็นด้วย",
+          "codepoints_lost": 0
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "ฉนไมเหนดวย",
+          "codepoints_lost": 4
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": false,
+          "output": "ฉันไม่เห็นด้วย",
+          "codepoints_lost": 0
+        }
+      }
+    },
+    {
+      "id": "persian_zwnj",
+      "script": "Persian ZWNJ",
+      "original": "من موافق نیستم‌ها.",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "من موافق نیستم‌ها.",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "من موافق نیستم‌ها.",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": true,
+          "output": "من موافق نیستمها.",
+          "codepoints_lost": 1
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": false,
+          "output": "من موافق نیستم‌ها.",
+          "codepoints_lost": 0
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "من موافق نیستمها.",
+          "codepoints_lost": 1
+        }
+      }
+    },
+    {
+      "id": "emoji_zwj_family",
+      "script": "Emoji ZWJ family",
+      "original": "Our family 👨‍👩‍👧 disagrees.",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "Our family 👨‍👩‍👧 disagrees.",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "Our family 👨‍👩‍👧 disagrees.",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": true,
+          "output": "Our family 👨👩👧 disagrees.",
+          "codepoints_lost": 2
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": false,
+          "output": "Our family 👨‍👩‍👧 disagrees.",
+          "codepoints_lost": 0
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "Our family 👨👩👧 disagrees.",
+          "codepoints_lost": 2
+        }
+      }
+    },
+    {
+      "id": "emoji_vs16",
+      "script": "Emoji VS-16",
+      "original": "I disagree ❤️ strongly.",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "I disagree ❤️ strongly.",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "I disagree ❤️ strongly.",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "I disagree ❤️ strongly.",
+          "codepoints_lost": 0
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "I disagree ❤ strongly.",
+          "codepoints_lost": 1
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "I disagree ❤ strongly.",
+          "codepoints_lost": 1
+        }
+      }
+    },
+    {
+      "id": "devanagari_zwj_conjunct",
+      "script": "Devanagari ZWJ conjunct",
+      "original": "क्‍ष सही नहीं है।",
+      "results": {
+        "nfc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "क्‍ष सही नहीं है।",
+          "codepoints_lost": 0
+        },
+        "nfkc": {
+          "category": "frozen",
+          "corrupts_ordinary_text": false,
+          "output": "क्‍ष सही नहीं है।",
+          "codepoints_lost": 0
+        },
+        "cf_strip": {
+          "category": "frozen",
+          "corrupts_ordinary_text": true,
+          "output": "क्ष सही नहीं है।",
+          "codepoints_lost": 1
+        },
+        "mn_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "क‍ष सही नही ह।",
+          "codepoints_lost": 3
+        },
+        "default_ignorable_strip": {
+          "category": "stress_only_not_frozen",
+          "corrupts_ordinary_text": true,
+          "output": "क्ष सही नहीं है।",
+          "codepoints_lost": 1
+        }
+      }
+    }
+  ]
+}
diff --git a/evidence/h16-local/shaping-closure.json b/evidence/h16-local/shaping-closure.json
new file mode 100644
index 00000000..7ed4883a
--- /dev/null
+++ b/evidence/h16-local/shaping-closure.json
@@ -0,0 +1,482 @@
+{
+  "assigned_codepoints_scanned": 286719,
+  "cc_required_sanitizer_fixed_point_count": 63,
+  "cc_required_sanitizer_fixed_points": [
+    "U+0000",
+    "U+0001",
+    "U+0002",
+    "U+0003",
+    "U+0004",
+    "U+0005",
+    "U+0006",
+    "U+0007",
+    "U+0008",
+    "U+000A",
+    "U+000B",
+    "U+000C",
+    "U+000E",
+    "U+000F",
+    "U+0010",
+    "U+0011",
+    "U+0012",
+    "U+0013",
+    "U+0014",
+    "U+0015",
+    "U+0016",
+    "U+0017",
+    "U+0018",
+    "U+0019",
+    "U+001A",
+    "U+001B",
+    "U+001C",
+    "U+001D",
+    "U+001E",
+    "U+001F",
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+}
diff --git a/evidence/h16-local/tokenizer-threat-model.json b/evidence/h16-local/tokenizer-threat-model.json
new file mode 100644
index 00000000..2546cf85
--- /dev/null
+++ b/evidence/h16-local/tokenizer-threat-model.json
@@ -0,0 +1,438 @@
+{
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+      "U+007F DEL (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+0080 PAD (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      }
+    }
+  },
+  "mistral-7b-v0.2": {
+    "normalizer": null,
+    "baseline_token_count": 5,
+    "carriers_probed": 9,
+    "carriers_reaching_token_stream": 9,
+    "carriers_dropped": [],
+    "carriers": {
+      "U+034F CGJ (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 34,
+        "reaches_token_stream": true
+      },
+      "U+FE00 VS-1 (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 45,
+        "reaches_token_stream": true
+      },
+      "U+200B ZWSP (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+200C ZWNJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+2060 WJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+00AD SHY (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+FEFF BOM (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+007F DEL (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+0080 PAD (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      }
+    }
+  },
+  "xlm-roberta-base": {
+    "normalizer": "Precompiled",
+    "baseline_token_count": 5,
+    "carriers_probed": 9,
+    "carriers_reaching_token_stream": 8,
+    "carriers_dropped": [
+      "U+007F DEL (Cc)"
+    ],
+    "carriers": {
+      "U+034F CGJ (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+FE00 VS-1 (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+200B ZWSP (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 13,
+        "reaches_token_stream": true
+      },
+      "U+200C ZWNJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 13,
+        "reaches_token_stream": true
+      },
+      "U+2060 WJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+00AD SHY (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+FEFF BOM (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 13,
+        "reaches_token_stream": true
+      },
+      "U+007F DEL (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 5,
+        "reaches_token_stream": false
+      },
+      "U+0080 PAD (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      }
+    }
+  },
+  "t5-small": {
+    "normalizer": "Precompiled",
+    "baseline_token_count": 5,
+    "carriers_probed": 9,
+    "carriers_reaching_token_stream": 8,
+    "carriers_dropped": [
+      "U+007F DEL (Cc)"
+    ],
+    "carriers": {
+      "U+034F CGJ (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 26,
+        "reaches_token_stream": true
+      },
+      "U+FE00 VS-1 (Mn)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 26,
+        "reaches_token_stream": true
+      },
+      "U+200B ZWSP (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+200C ZWNJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+2060 WJ (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 26,
+        "reaches_token_stream": true
+      },
+      "U+00AD SHY (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 26,
+        "reaches_token_stream": true
+      },
+      "U+FEFF BOM (Cf)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 23,
+        "reaches_token_stream": true
+      },
+      "U+007F DEL (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 5,
+        "reaches_token_stream": false
+      },
+      "U+0080 PAD (Cc)": {
+        "baseline_token_count": 5,
+        "carrier_token_count": 26,
+        "reaches_token_stream": true
+      }
+    }
+  }
+}
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
new file mode 100644
index 00000000..99043a40
--- /dev/null
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -0,0 +1,371 @@
+from __future__ import annotations
+
+import json
+import unicodedata
+from pathlib import Path
+
+from ..config import canonical_json_text
+from ..hashing import sha256_json
+from ..product.contract import FROZEN_PRODUCT_CONTRACT_HASH, product_contract_payload
+from ..sanitizer_robustness import strip_unicode_format_characters
+from .benchmark import strip_default_ignorable, strip_nonspacing_marks
+from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from .post_sanitizer_sequences import CYCLE8_POST_SANITIZER_SEQUENCES_HASH
+from .publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+
+CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
+CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "0cab794c7fa85a5ba1f008157dd76b5279cb0a1c1413a0b3f9ca84a8317f6b34"
+
+AUDIT_SOURCE = "I do not agree."
+H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
+CHROMIUM_PRE_FONT = "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf"
+SHAPING_FALLBACK_FONTS = (
+    "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
+    "/usr/share/fonts/truetype/droid/DroidSansFallbackFull.ttf",
+    "/usr/share/fonts/truetype/liberation/LiberationMono-Regular.ttf",
+)
+SHAPING_LEFT = "A"
+SHAPING_RIGHT = "B"
+SHAPING_CONTEXTS: tuple[tuple[str, str, str], ...] = (
+    ("latin", "A", "B"),
+    ("latin_lower", "n", "o"),
+    ("digit", "4", "7"),
+    ("space_left", " ", "a"),
+    ("space_right", "a", " "),
+    ("start", "", "Ab"),
+    ("end", "Ab", ""),
+    ("arabic", "\u0645", "\u0646"),
+    ("devanagari", "\u0915", "\u0916"),
+    ("cjk", "\u4e2d", "\u6587"),
+    ("hangul", "\uac00", "\ub098"),
+    ("punct", ".", ","),
+)
+
+SHAPING_INVISIBLE_RANGES: tuple[tuple[int, int], ...] = (
+    (0x00AD, 0x00AD),
+    (0x034F, 0x034F),
+    (0x061C, 0x061C),
+    (0x17B4, 0x17B5),
+    (0x180B, 0x180E),
+    (0x200B, 0x200F),
+    (0x202A, 0x202E),
+    (0x2060, 0x2064),
+    (0x2066, 0x206F),
+    (0xFE00, 0xFE0F),
+    (0xFEFF, 0xFEFF),
+    (0x1D173, 0x1D17A),
+    (0xE0001, 0xE0001),
+    (0xE0020, 0xE007F),
+    (0xE0100, 0xE01EF),
+)
+ASSIGNED_CODEPOINTS_SCANNED = 286719
+REQUIRED_SANITIZER_FIXED_POINT_COUNT = 267550
+SHAPING_CONTEXTS_SCANNED = 12
+ORACLE_VALIDATION_SAMPLE = 23
+ORACLE_VALIDATION_AGREEMENT = 20
+ORACLE_VALIDATION_DISAGREEMENTS = ("cf_zwnj", "cc_del", "cc_c1_pad")
+
+DEPLOYABILITY_CORPUS: tuple[tuple[str, str], ...] = (
+    ("devanagari", "\u092e\u0948\u0902 \u0907\u0938\u0938\u0947 \u0938\u0939\u092e\u0924 \u0928\u0939\u0940\u0902 \u0939\u0942\u0901\u0964"),
+    ("hebrew_niqqud", "\u05d0\u05b2\u05e0\u05b4\u05d9 \u05dc\u05b9\u05d0 \u05de\u05b7\u05e1\u05b0\u05db\u05bc\u05b4\u05d9\u05dd."),
+    ("thai", "\u0e09\u0e31\u0e19\u0e44\u0e21\u0e48\u0e40\u0e2b\u0e47\u0e19\u0e14\u0e49\u0e27\u0e22"),
+    ("persian_zwnj", "\u0645\u0646 \u0645\u0648\u0627\u0641\u0642 \u0646\u06cc\u0633\u062a\u0645\u200c\u0647\u0627."),
+    ("emoji_zwj_family", "Our family \U0001f468\u200d\U0001f469\u200d\U0001f467 disagrees."),
+    ("emoji_vs16", "I disagree \u2764\ufe0f strongly."),
+    ("devanagari_zwj_conjunct", "\u0915\u094d\u200d\u0937 \u0938\u0939\u0940 \u0928\u0939\u0940\u0902 \u0939\u0948\u0964"),
+)
+
+TOKENIZER_OBSERVATIONS: tuple[dict[str, object], ...] = (
+    {"model": "gemma-2-2b-it", "normalizer": "Replace", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "gemma-3-1b-it", "normalizer": "Replace", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "gpt2", "normalizer": None, "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "llama-2-7b", "normalizer": "Sequence[Prepend,Replace]", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "llama-3-8b", "normalizer": None, "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "mistral-7b-v0.2", "normalizer": None, "carriers_reaching_token_stream": 9, "carriers_probed": 9},
+    {"model": "xlm-roberta-base", "normalizer": "Precompiled", "carriers_reaching_token_stream": 8, "carriers_probed": 9},
+    {"model": "t5-small", "normalizer": "Precompiled", "carriers_reaching_token_stream": 8, "carriers_probed": 9},
+)
+
+
+def iter_shaping_invisible_codepoints():
+    for start, end in SHAPING_INVISIBLE_RANGES:
+        yield from range(start, end + 1)
+
+
+def shaping_invisible_codepoint_count() -> int:
+    return sum(end - start + 1 for start, end in SHAPING_INVISIBLE_RANGES)
+
+
+def shaping_invisible_categories() -> dict[str, int]:
+    counts: dict[str, int] = {}
+    for codepoint in iter_shaping_invisible_codepoints():
+        category = unicodedata.category(chr(codepoint))
+        counts[category] = counts.get(category, 0) + 1
+    return dict(sorted(counts.items()))
+
+
+def shaping_invisible_all_stripped_by_required_bundle() -> bool:
+    return all(
+        not required_sanitizers_keep(f"I{chr(codepoint)} do not agree.")
+        for codepoint in iter_shaping_invisible_codepoints()
+    )
+
+
+def control_required_sanitizer_fixed_points() -> tuple[int, ...]:
+    return tuple(
+        codepoint
+        for codepoint in range(0x110000)
+        if unicodedata.category(chr(codepoint)) == "Cc"
+        and required_sanitizers_keep(f"I{chr(codepoint)} do not agree.")
+    )
+
+
+def ascii_domain_is_normalization_fixed_point() -> bool:
+    domain = "".join(chr(c) for c in [0x09, 0x0A, 0x0D, *range(0x20, 0x7F)])
+    return all(
+        unicodedata.normalize(form, domain) == domain
+        for form in ("NFC", "NFD", "NFKC", "NFKD")
+    )
+
+
+def render_identical_ascii_substitutes() -> tuple[int, ...]:
+    return (
+        0x00A0, 0x2000, 0x2001, 0x2002, 0x2003, 0x2004, 0x2005, 0x2006,
+        0x2007, 0x2008, 0x2009, 0x200A, 0x202F, 0x205F,
+    )
+
+
+def substitution_class_survivors() -> tuple[int, ...]:
+    return tuple(
+        codepoint
+        for codepoint in render_identical_ascii_substitutes()
+        if required_sanitizers_keep(f"I{chr(codepoint)} do not agree.")
+    )
+
+
+def sanitizer_deployability_damage() -> dict[str, dict[str, object]]:
+    sanitizers = (
+        ("nfc", lambda t: unicodedata.normalize("NFC", t), "frozen"),
+        ("nfkc", lambda t: unicodedata.normalize("NFKC", t), "frozen"),
+        ("cf_strip", strip_unicode_format_characters, "frozen"),
+        ("mn_strip", strip_nonspacing_marks, "stress_only_not_frozen"),
+        ("default_ignorable_strip", strip_default_ignorable, "stress_only_not_frozen"),
+    )
+    report: dict[str, dict[str, object]] = {}
+    for name, function, category in sanitizers:
+        corrupted = [
+            sample_id for sample_id, text in DEPLOYABILITY_CORPUS if function(text) != text
+        ]
+        report[name] = {
+            "contract_category": category,
+            "corrupted_sample_ids": corrupted,
+            "corrupted": len(corrupted),
+            "of": len(DEPLOYABILITY_CORPUS),
+        }
+    return report
+
+
+def contract_stress_only_sanitizers() -> tuple[str, ...]:
+    assumptions = product_contract_payload()["sanitizer_assumptions"]
+    return tuple(assumptions["stress_only_not_frozen"])
+
+
+def gate_promotes_stress_only_sanitizers() -> bool:
+    mn_only = "I\u0301 do not agree."
+    di_only = "I\u200b do not agree."
+    return (
+        strip_nonspacing_marks(mn_only) != mn_only
+        and required_sanitizers_keep(mn_only) is False
+        and strip_default_ignorable(di_only) != di_only
+        and required_sanitizers_keep(di_only) is False
+    )
+
+
+def threat_model_audit_payload() -> dict[str, object]:
+    invisible_categories = shaping_invisible_categories()
+    control_survivors = control_required_sanitizer_fixed_points()
+    damage = sanitizer_deployability_damage()
+    stress_only = contract_stress_only_sanitizers()
+
+    findings = (
+        {
+            "id": "q1_real_pipeline_normalization",
+            "question": "Which normalization do real watermark detection pipelines perform?",
+            "answer": (
+                "SynthID-Text scores model tokens, so the operative normalizer is the model "
+                "tokenizer. On locally cached tokenizers the Gemma normalizer is the "
+                "SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no "
+                "normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine "
+                "probe carriers reach the token stream on six of eight tokenizers. The two "
+                "SentencePiece Precompiled normalizers drop only DEL."
+            ),
+            "evidence": "evidence/h16-local/tokenizer-threat-model.json",
+        },
+        {
+            "id": "q2_are_stress_sanitizers_realistic",
+            "question": "Are Mn-strip and default-ignorable-strip realistic countermeasures?",
+            "answer": (
+                "No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai "
+                "and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ "
+                "sequences and Devanagari conjuncts. A platform running either would corrupt "
+                "ordinary user text in widely used writing systems, so no detector vendor can "
+                "apply them as a preprocessing step."
+            ),
+            "evidence": "evidence/h16-local/sanitizer-deployability.json",
+        },
+        {
+            "id": "q3_is_the_gate_correctly_defined",
+            "question": "Is the current sanitizer gate correctly defined for the product goal?",
+            "answer": (
+                "No, on two counts. First, scope: the frozen product contract classifies "
+                "default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, "
+                "but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated "
+                "on sanitizers the contract does not require. Second, form: the gate demands the "
+                "carrier be a fixed point of every sanitizer, which is strictly stronger than the "
+                "product goal that detection fail after sanitization."
+            ),
+            "evidence": "specs/fuckmark-user-visible-invariance-v1.contract.json",
+        },
+        {
+            "id": "q4_were_h9_h15_trapped",
+            "question": "Did H9-H15 become trapped in one mechanism family or framing?",
+            "answer": (
+                "The framing was not merely narrow, it was empty. Invisibility and required "
+                "sanitizer survival are complementary by construction: every one of the 396 "
+                "invisible code points in the Chromium pre font is Mn or Cf, and the required "
+                "bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code "
+                "points, sequences or shaping contexts could have found a survivor, so the "
+                "H9-H15 negatives measure the gate rather than Unicode."
+            ),
+            "evidence": "evidence/h16-local/shaping-closure.json",
+        },
+    )
+
+    payload = {
+        "algorithm_version": CYCLE8_THREAT_MODEL_AUDIT_VERSION,
+        "priority_zero": "exact_user_visible_text_preservation",
+        "audit_target": "the H12-H15 required sanitizer bundle, not a new carrier search",
+        "does_not_repeat_codepoint_enumeration": True,
+        "control_carrier_hash": CYCLE8_CONTROL_CARRIER_HASH,
+        "post_sanitizer_sequences_hash": CYCLE8_POST_SANITIZER_SEQUENCES_HASH,
+        "mix_publishability_hash": CYCLE8_MIX_PUBLISHABILITY_HASH,
+        "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
+        "closure": {
+            "assigned_codepoints_scanned": ASSIGNED_CODEPOINTS_SCANNED,
+            "shaping_contexts_scanned": SHAPING_CONTEXTS_SCANNED,
+            "required_sanitizer_fixed_point_count": REQUIRED_SANITIZER_FIXED_POINT_COUNT,
+            "shaping_invisible_count": shaping_invisible_codepoint_count(),
+            "shaping_invisible_categories": invisible_categories,
+            "shaping_invisible_outside_mn_cf": [
+                category for category in invisible_categories if category not in ("Mn", "Cf")
+            ],
+            "shaping_invisible_all_stripped_by_required_bundle": (
+                shaping_invisible_all_stripped_by_required_bundle()
+            ),
+            "intersection_count": 0,
+            "substitution_class_render_identical_count": len(render_identical_ascii_substitutes()),
+            "substitution_class_survivor_count": len(substitution_class_survivors()),
+            "ascii_domain_is_normalization_fixed_point": ascii_domain_is_normalization_fixed_point(),
+            "cc_required_sanitizer_fixed_point_count": len(control_survivors),
+            "oracle_validation_sample": ORACLE_VALIDATION_SAMPLE,
+            "oracle_validation_agreement": ORACLE_VALIDATION_AGREEMENT,
+            "oracle_validation_disagreements": list(ORACLE_VALIDATION_DISAGREEMENTS),
+        },
+        "tokenizer_observations": [dict(row) for row in TOKENIZER_OBSERVATIONS],
+        "sanitizer_deployability": damage,
+        "contract_stress_only_sanitizers": list(stress_only),
+        "gate_promotes_stress_only_sanitizers": gate_promotes_stress_only_sanitizers(),
+        "findings": [dict(row) for row in findings],
+        "proposed_gate_v2": {
+            "status": "proposal_only_not_active",
+            "rationale": (
+                "Gate on detection failure after sanitizers a platform can actually run, "
+                "rather than on carrier fixed-point survival under sanitizers that corrupt "
+                "ordinary text."
+            ),
+            "required_sanitizers": ["raw", "nfc", "nfkc", "cf_strip", "nfkc_cf_strip", "ws_collapse"],
+            "excluded_sanitizers": list(stress_only),
+            "exclusion_reason": "not deployable without corrupting ordinary multilingual text",
+            "condition": "detector must not detect after each required sanitizer",
+            "still_requires": [
+                "exact_user_visible_text_preservation",
+                "ordinary_plain_text",
+                "chromium_portability",
+                "fresh_unspent_confirmation_corpus",
+            ],
+            "adoption": "requires explicit product decision and a fresh confirmation run",
+        },
+        "stronger_priority_zero_safe_mechanism": None,
+        "product_authorized": False,
+        "mix_gate_not_rewritten": True,
+        "required_sanitizer_bundle_not_weakened": True,
+        "spent_confirmation_corpora_not_reused": True,
+        "mix_sanitizer_gate": "FAIL",
+        "boundary": (
+            "The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is "
+            "structural rather than empirical. Across 286719 assigned code points and 12 shaping "
+            "contexts, the Chromium pre font renders 396 code points invisibly and every one is "
+            "Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: "
+            "14 code points render as an ASCII space and none survives the bundle. Canonical "
+            "re-encoding adds nothing either, because the declared ASCII input domain is a fixed "
+            "point of all four normalization forms. Deletion and reordering change visible text. "
+            "The only remainder in the whole space is C0/C1, which the ordinary-plain-text "
+            "requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip "
+            "and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product "
+            "contract, are applied by no production detector tokenizer measured here, and corrupt "
+            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. The correct next step is a "
+            "product decision on the gate, not a further carrier search. This record does not make "
+            "that decision: the required bundle is unchanged and mix stays FAIL."
+        ),
+    }
+    return {**payload, "audit_hash": sha256_json(payload)}
+
+
+def write_threat_model_audit_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_THREAT_MODEL_AUDIT_PATH)
+    payload = threat_model_audit_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_threat_model_audit(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_THREAT_MODEL_AUDIT_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_threat_model_audit_committed() -> None:
+    path = Path(CYCLE8_THREAT_MODEL_AUDIT_PATH)
+    if not path.is_file():
+        raise ValueError("threat model audit spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "audit_hash"}
+    digest = sha256_json(body)
+    if disk.get("audit_hash") != digest:
+        raise ValueError("threat model audit spec hash mismatch")
+    if CYCLE8_THREAT_MODEL_AUDIT_HASH != "0" * 64 and digest != CYCLE8_THREAT_MODEL_AUDIT_HASH:
+        raise ValueError("threat model audit spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("threat model audit must not product-authorize a mechanism")
+    if disk["stronger_priority_zero_safe_mechanism"] is not None:
+        raise ValueError("threat model audit must not claim a stronger Priority-Zero mechanism")
+    if disk["mix_gate_not_rewritten"] is not True:
+        raise ValueError("threat model audit must not rewrite the mix sanitizer gate")
+    if disk["mix_sanitizer_gate"] != "FAIL":
+        raise ValueError("threat model audit must keep mix sanitizer FAIL")
+    if disk["required_sanitizer_bundle_not_weakened"] is not True:
+        raise ValueError("threat model audit must not weaken the required sanitizer bundle")
+    if disk["proposed_gate_v2"]["status"] != "proposal_only_not_active":
+        raise ValueError("the proposed gate must remain a proposal")
+    if disk["closure"]["intersection_count"] != 0:
+        raise ValueError("closure intersection must be empty")
+    if disk["closure"]["shaping_invisible_outside_mn_cf"] != []:
+        raise ValueError("invisible code points must all be Mn or Cf")
+    if disk["closure"]["shaping_invisible_all_stripped_by_required_bundle"] is not True:
+        raise ValueError("every invisible code point must die to the required bundle")
+    if disk["closure"]["substitution_class_survivor_count"] != 0:
+        raise ValueError("substitution class must have no sanitizer survivor")
+    live = threat_model_audit_payload()
+    if live != disk:
+        raise ValueError("threat model audit spec does not match the live payload")
diff --git a/pyproject.toml b/pyproject.toml
index 520306be..46ceb5cb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,7 +37,7 @@ fuckmark = "fuckmark.cli:main"
 
 [project.optional-dependencies]
 dev = ["pytest>=8.3"]
-research = ["fonttools>=4.50"]
+research = ["fonttools>=4.50", "uharfbuzz>=0.39", "tokenizers>=0.20"]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
new file mode 100644
index 00000000..c10430c7
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"0cab794c7fa85a5ba1f008157dd76b5279cb0a1c1413a0b3f9ca84a8317f6b34","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. The correct next step is a product decision on the gate, not a further carrier search. This record does not make that decision: the required bundle is unchanged and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts. A platform running either would corrupt ordinary user text in widely used writing systems, so no detector vendor can apply them as a preprocessing step.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_v2":{"adoption":"requires explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
new file mode 100644
index 00000000..5b457eb4
--- /dev/null
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -0,0 +1,168 @@
+from __future__ import annotations
+
+import unicodedata
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cycle8.benchmark import strip_default_ignorable, strip_nonspacing_marks
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep
+from fuckmark.cycle8.threat_model_audit import (
+    CYCLE8_THREAT_MODEL_AUDIT_HASH,
+    CYCLE8_THREAT_MODEL_AUDIT_PATH,
+    DEPLOYABILITY_CORPUS,
+    TOKENIZER_OBSERVATIONS,
+    assert_threat_model_audit_committed,
+    ascii_domain_is_normalization_fixed_point,
+    contract_stress_only_sanitizers,
+    control_required_sanitizer_fixed_points,
+    gate_promotes_stress_only_sanitizers,
+    iter_shaping_invisible_codepoints,
+    load_threat_model_audit,
+    render_identical_ascii_substitutes,
+    sanitizer_deployability_damage,
+    shaping_invisible_all_stripped_by_required_bundle,
+    shaping_invisible_categories,
+    shaping_invisible_codepoint_count,
+    substitution_class_survivors,
+    threat_model_audit_payload,
+)
+from fuckmark.cycle8.publishability import measure_mix_fixtures
+
+
+def test_threat_model_audit_spec_is_committed_and_frozen():
+    assert Path(CYCLE8_THREAT_MODEL_AUDIT_PATH).is_file()
+    assert_threat_model_audit_committed()
+    disk = load_threat_model_audit()
+    assert disk["audit_hash"] == CYCLE8_THREAT_MODEL_AUDIT_HASH
+    assert disk == threat_model_audit_payload()
+
+
+def test_audit_does_not_authorize_a_product_mechanism():
+    disk = load_threat_model_audit()
+    assert disk["product_authorized"] is False
+    assert disk["stronger_priority_zero_safe_mechanism"] is None
+    assert disk["mix_gate_not_rewritten"] is True
+    assert disk["mix_sanitizer_gate"] == "FAIL"
+    assert disk["required_sanitizer_bundle_not_weakened"] is True
+    assert disk["spent_confirmation_corpora_not_reused"] is True
+    assert disk["proposed_gate_v2"]["status"] == "proposal_only_not_active"
+
+
+def test_required_sanitizer_bundle_is_unchanged_by_this_cycle():
+    assert required_sanitizers_keep("I\u034f do not agree.") is False
+    assert required_sanitizers_keep("I\ufe00 do not agree.") is False
+    assert required_sanitizers_keep("I\u200b do not agree.") is False
+    assert required_sanitizers_keep("I do not agree.") is True
+
+
+def test_mix_still_fails_only_on_the_stress_only_sanitizers():
+    measured = measure_mix_fixtures()
+    assert measured["frozen_sanitizer_total"] > 0
+    assert measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
+    assert measured["mn_strip_kills"] == measured["stress_total"]
+    assert measured["default_ignorable_strip_kills"] == measured["stress_total"]
+    assert measured["nfkd_kills"] == 0
+
+
+def test_every_invisible_codepoint_is_mn_or_cf():
+    categories = shaping_invisible_categories()
+    assert set(categories) == {"Mn", "Cf"}
+    assert shaping_invisible_codepoint_count() == 396
+    assert sum(categories.values()) == 396
+
+
+def test_invisible_set_and_required_bundle_are_complementary():
+    assert shaping_invisible_all_stripped_by_required_bundle() is True
+    for codepoint in iter_shaping_invisible_codepoints():
+        assert required_sanitizers_keep(f"I{chr(codepoint)} do not agree.") is False
+
+
+def test_substitution_class_has_no_sanitizer_survivor():
+    substitutes = render_identical_ascii_substitutes()
+    assert len(substitutes) == 14
+    for codepoint in substitutes:
+        assert unicodedata.normalize("NFKC", chr(codepoint)) == " "
+    assert substitution_class_survivors() == ()
+
+
+def test_ascii_input_domain_has_no_reencoding_freedom():
+    assert ascii_domain_is_normalization_fixed_point() is True
+
+
+def test_only_control_characters_remain_in_the_whole_space():
+    survivors = control_required_sanitizer_fixed_points()
+    assert len(survivors) == 63
+    assert all(unicodedata.category(chr(cp)) == "Cc" for cp in survivors)
+    assert 0x007F in survivors
+    assert 0x0080 in survivors
+
+
+def test_gate_promotes_contract_stress_only_sanitizers():
+    assert contract_stress_only_sanitizers() == (
+        "default_ignorable_removal",
+        "nonspacing_mark_removal",
+    )
+    assert gate_promotes_stress_only_sanitizers() is True
+
+
+def test_stress_only_sanitizers_corrupt_ordinary_text():
+    damage = sanitizer_deployability_damage()
+    assert damage["mn_strip"]["contract_category"] == "stress_only_not_frozen"
+    assert damage["default_ignorable_strip"]["contract_category"] == "stress_only_not_frozen"
+    assert damage["mn_strip"]["corrupted"] > damage["nfkc"]["corrupted"]
+    assert "thai" in damage["mn_strip"]["corrupted_sample_ids"]
+    assert "hebrew_niqqud" in damage["mn_strip"]["corrupted_sample_ids"]
+    assert "emoji_zwj_family" in damage["default_ignorable_strip"]["corrupted_sample_ids"]
+
+
+@pytest.mark.parametrize("sample_id,text", DEPLOYABILITY_CORPUS)
+def test_deployability_corpus_is_ordinary_not_adversarial(sample_id, text):
+    assert text == unicodedata.normalize("NFC", text) or sample_id == "hebrew_niqqud"
+    assert text.strip() == text
+
+
+def test_mn_strip_destroys_thai_and_hebrew():
+    thai = "\u0e09\u0e31\u0e19\u0e44\u0e21\u0e48\u0e40\u0e2b\u0e47\u0e19"
+    hebrew = "\u05d0\u05b2\u05e0\u05b4\u05d9"
+    assert strip_nonspacing_marks(thai) != thai
+    assert strip_nonspacing_marks(hebrew) != hebrew
+
+
+def test_default_ignorable_strip_destroys_emoji_zwj_sequences():
+    family = "\U0001f468\u200d\U0001f469\u200d\U0001f467"
+    assert strip_default_ignorable(family) != family
+
+
+def test_production_tokenizers_do_not_strip_carriers():
+    by_model = {row["model"]: row for row in TOKENIZER_OBSERVATIONS}
+    for model in ("gemma-2-2b-it", "gemma-3-1b-it"):
+        row = by_model[model]
+        assert row["carriers_reaching_token_stream"] == row["carriers_probed"]
+    assert all(row["carriers_reaching_token_stream"] >= 8 for row in TOKENIZER_OBSERVATIONS)
+
+
+def test_audit_records_all_four_questions():
+    disk = load_threat_model_audit()
+    ids = [row["id"] for row in disk["findings"]]
+    assert ids == [
+        "q1_real_pipeline_normalization",
+        "q2_are_stress_sanitizers_realistic",
+        "q3_is_the_gate_correctly_defined",
+        "q4_were_h9_h15_trapped",
+    ]
+    for row in disk["findings"]:
+        assert row["answer"]
+        assert row["evidence"]
+
+
+def test_proposed_gate_excludes_only_the_stress_only_sanitizers():
+    proposal = load_threat_model_audit()["proposed_gate_v2"]
+    assert proposal["excluded_sanitizers"] == [
+        "default_ignorable_removal",
+        "nonspacing_mark_removal",
+    ]
+    assert "nfkc_cf_strip" in proposal["required_sanitizers"]
+    assert "cf_strip" in proposal["required_sanitizers"]
+    assert "exact_user_visible_text_preservation" in proposal["still_requires"]
+    assert "fresh_unspent_confirmation_corpus" in proposal["still_requires"]
diff --git a/tools/h16_oracle_validation.py b/tools/h16_oracle_validation.py
index 00154e71..99a073c4 100644
--- a/tools/h16_oracle_validation.py
+++ b/tools/h16_oracle_validation.py
@@ -1,27 +1,13 @@
-"""H16 shaping oracle validation against real Chromium ``pre`` pixels.
-
-The exhaustive H16 closure scan uses a HarfBuzz shaping oracle instead of one
-screenshot per code point. This script checks that oracle against the Chromium
-comparator the earlier cycles used, on a stratified sample covering every class
-the closure argument depends on.
-"""
-
 from __future__ import annotations
 
 import json
-import sys
 from pathlib import Path
 
-REPO = Path(__file__).resolve().parents[1]
-sys.path.insert(0, str(REPO))
-sys.path.insert(0, str(REPO / "tools"))
-
-from h16_shaping_closure_scan import CHROMIUM_PRE_FONT, ShapingOracle  # noqa: E402
-
-from fuckmark.cycle8.control_carrier import required_sanitizers_keep  # noqa: E402
-from fuckmark.product.rendering import compare_chrome_pre_screenshots  # noqa: E402
+from h16_shaping_closure_scan import ShapingOracle
 
-SOURCE = "I do not agree."
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep
+from fuckmark.cycle8.threat_model_audit import AUDIT_SOURCE, CHROMIUM_PRE_FONT
+from fuckmark.product.rendering import compare_chrome_pre_screenshots
 
 SAMPLE: tuple[tuple[str, int], ...] = (
     ("mn_cgj", 0x034F),
@@ -62,23 +48,22 @@ def insert_after_letters(source: str, payload: str) -> str:
 def main() -> int:
     oracle = ShapingOracle(CHROMIUM_PRE_FONT)
     rows = []
-    agree = 0
-    disagree = []
+    agreement = 0
+    disagreements: list[str] = []
     for probe_id, codepoint in SAMPLE:
-        applied = insert_after_letters(SOURCE, chr(codepoint))
-        comparison = compare_chrome_pre_screenshots(SOURCE, applied)
+        applied = insert_after_letters(AUDIT_SOURCE, chr(codepoint))
+        comparison = compare_chrome_pre_screenshots(AUDIT_SOURCE, applied)
         shaping_invisible = oracle.invisible(codepoint)
-        chromium_invisible = comparison.equal
-        matched = shaping_invisible == chromium_invisible
-        agree += int(matched)
+        matched = shaping_invisible == comparison.equal
+        agreement += int(matched)
         if not matched:
-            disagree.append(probe_id)
+            disagreements.append(probe_id)
         rows.append(
             {
                 "id": probe_id,
                 "codepoint": f"U+{codepoint:04X}",
                 "shaping_oracle_invisible": shaping_invisible,
-                "chromium_pre_invisible": chromium_invisible,
+                "chromium_pre_invisible": comparison.equal,
                 "chromium_status": comparison.status,
                 "agree": matched,
                 "required_sanitizers_keep": required_sanitizers_keep(applied),
@@ -86,21 +71,21 @@ def main() -> int:
         )
         print(
             f"{probe_id:32} {f'U+{codepoint:04X}':10} shaping={shaping_invisible!s:5} "
-            f"chromium={chromium_invisible!s:5} {'OK' if matched else 'DISAGREE'}"
+            f"chromium={comparison.equal!s:5} {'OK' if matched else 'DISAGREE'}"
         )
 
     payload = {
-        "source": SOURCE,
+        "source": AUDIT_SOURCE,
         "font": CHROMIUM_PRE_FONT,
         "sample_size": len(SAMPLE),
-        "agreement": agree,
-        "disagreement_ids": disagree,
+        "agreement": agreement,
+        "disagreement_ids": disagreements,
         "rows": rows,
     }
-    destination = REPO / "evidence" / "h16-local" / "oracle-validation.json"
+    destination = Path("evidence/h16-local/oracle-validation.json")
     destination.parent.mkdir(parents=True, exist_ok=True)
     destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
-    print(f"\nagreement {agree}/{len(SAMPLE)}; disagreements: {disagree}")
+    print(f"\nagreement {agreement}/{len(SAMPLE)}; disagreements: {disagreements}")
     print("wrote", destination)
     return 0
 
diff --git a/tools/h16_sanitizer_deployability.py b/tools/h16_sanitizer_deployability.py
index e5f48ff4..9b532bf5 100644
--- a/tools/h16_sanitizer_deployability.py
+++ b/tools/h16_sanitizer_deployability.py
@@ -1,47 +1,25 @@
-"""H16 deployability probe for the H12-H15 stress sanitizers.
-
-A sanitizer is only a realistic production countermeasure if a platform could
-actually run it on all user text. This probe applies each sanitizer in the
-required bundle to ordinary, non-adversarial text in widely used writing
-systems and measures the collateral corruption.
-
-Mn-strip and default-ignorable-strip are the two sanitizers the frozen product
-contract classifies as ``stress_only_not_frozen`` but that H12-H15 promoted to
-hard requirements.
-"""
-
 from __future__ import annotations
 
 import json
-import sys
 import unicodedata
 from pathlib import Path
 
-REPO = Path(__file__).resolve().parents[1]
-sys.path.insert(0, str(REPO))
+from fuckmark.cycle8.benchmark import strip_default_ignorable, strip_nonspacing_marks
+from fuckmark.cycle8.threat_model_audit import DEPLOYABILITY_CORPUS
+from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters
 
-from fuckmark.cycle8.benchmark import strip_default_ignorable, strip_nonspacing_marks  # noqa: E402
-from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters  # noqa: E402
-
-# Ordinary, non-adversarial text. Nothing here is an attack payload; every code
-# point is required to spell the sentence correctly.
-CORPUS: tuple[tuple[str, str, str], ...] = (
-    ("vietnamese", "Tiếng Việt", "Tôi không đồng ý với điều đó."),
-    ("hindi", "Devanagari", "मैं इससे सहमत नहीं हूँ।"),
-    ("arabic", "Arabic", "أنا لا أوافق على ذلك."),
-    ("hebrew", "Hebrew niqqud", "אֲנִי לֹא מַסְכִּים."),
-    ("thai", "Thai", "ฉันไม่เห็นด้วยกับสิ่งนั้น"),
-    ("korean", "Hangul jamo", "\u1102\u1161\u1102\u1173\u11ab \u1103\u1169\u11bc\u110b\u1174\u1112\u1161\u110c\u1175 \u110b\u1161\u11ba\u1109\u1173\u11b8\u1102\u1175\u1103\u1161."),
-    ("french", "French accents", "Je ne suis pas d'accord avec ça."),
-    ("czech", "Czech diacritics", "Nesouhlasím s tím."),
-    ("persian_zwnj", "Persian ZWNJ", "من با آن موافق نیستم\u200cها."),
-    ("emoji_zwj", "Emoji ZWJ family", "Our family \U0001f468\u200d\U0001f469\u200d\U0001f467 disagrees."),
-    ("emoji_vs16", "Emoji VS-16", "I disagree \u2764\ufe0f strongly."),
-    ("devanagari_zwj", "Devanagari ZWJ conjunct", "क\u094d\u200dष सही नहीं है।"),
-)
+SCRIPT_LABELS = {
+    "devanagari": "Devanagari",
+    "hebrew_niqqud": "Hebrew niqqud",
+    "thai": "Thai",
+    "persian_zwnj": "Persian ZWNJ",
+    "emoji_zwj_family": "Emoji ZWJ family",
+    "emoji_vs16": "Emoji VS-16",
+    "devanagari_zwj_conjunct": "Devanagari ZWJ conjunct",
+}
 
 SANITIZERS = (
-    ("nfc", lambda t: unicodedata.normalize("NFC", t), "frozen"),
+    ("nfc", lambda text: unicodedata.normalize("NFC", text), "frozen"),
     ("nfkc", nfkc_normalize, "frozen"),
     ("cf_strip", strip_unicode_format_characters, "frozen"),
     ("mn_strip", strip_nonspacing_marks, "stress_only_not_frozen"),
@@ -51,23 +29,28 @@
 
 def main() -> int:
     rows = []
-    damage: dict[str, int] = {name: 0 for name, _, _ in SANITIZERS}
-    for sample_id, script, text in CORPUS:
-        entry = {"id": sample_id, "script": script, "original": text, "results": {}}
-        for name, fn, category in SANITIZERS:
-            out = fn(text)
-            corrupted = out != text
+    damage = {name: 0 for name, _, _ in SANITIZERS}
+    for sample_id, text in DEPLOYABILITY_CORPUS:
+        entry: dict[str, object] = {
+            "id": sample_id,
+            "script": SCRIPT_LABELS.get(sample_id, sample_id),
+            "original": text,
+            "results": {},
+        }
+        for name, function, category in SANITIZERS:
+            output = function(text)
+            corrupted = output != text
             if corrupted:
                 damage[name] += 1
             entry["results"][name] = {
                 "category": category,
                 "corrupts_ordinary_text": corrupted,
-                "output": out,
-                "codepoints_lost": len(text) - len(out),
+                "output": output,
+                "codepoints_lost": len(text) - len(output),
             }
         rows.append(entry)
 
-    total = len(CORPUS)
+    total = len(DEPLOYABILITY_CORPUS)
     print(f"Ordinary-text corpus: {total} samples across widely used writing systems\n")
     print(f"{'sanitizer':26} {'contract category':26} corrupts")
     print("-" * 68)
@@ -77,11 +60,11 @@ def main() -> int:
     print("\nCollateral damage from the two stress-only sanitizers:\n")
     for entry in rows:
         for name in ("mn_strip", "default_ignorable_strip"):
-            res = entry["results"][name]
-            if res["corrupts_ordinary_text"]:
+            result = entry["results"][name]
+            if result["corrupts_ordinary_text"]:
                 print(f"  [{name}] {entry['script']}")
                 print(f"      before: {entry['original']}")
-                print(f"      after:  {res['output']}")
+                print(f"      after:  {result['output']}")
 
     payload = {
         "corpus_size": total,
@@ -91,10 +74,10 @@ def main() -> int:
         },
         "rows": rows,
     }
-    out_path = REPO / "evidence" / "h16-local" / "sanitizer-deployability.json"
-    out_path.parent.mkdir(parents=True, exist_ok=True)
-    out_path.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
-    print(f"\nwrote {out_path}")
+    destination = Path("evidence/h16-local/sanitizer-deployability.json")
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(f"\nwrote {destination}")
     return 0
 
 
diff --git a/tools/h16_shaping_closure_scan.py b/tools/h16_shaping_closure_scan.py
index 09918297..99b9e78f 100644
--- a/tools/h16_shaping_closure_scan.py
+++ b/tools/h16_shaping_closure_scan.py
@@ -1,65 +1,42 @@
-"""H16 exhaustive shaping closure scan.
-
-Cross every assigned Unicode code point against two independent oracles:
-
-1. The H12-H15 required sanitizer bundle treated as a carrier fixed point.
-2. A HarfBuzz shaping oracle over the real Chromium ``pre`` font stack.
-
-The shaping oracle replaces per-probe Chromium screenshots. It reports a code
-point as invisible only when inserting it leaves both the total advance width
-and the inked glyph sequence unchanged.
-"""
-
 from __future__ import annotations
 
 import argparse
 import json
-import sys
 import unicodedata
 from pathlib import Path
 
-REPO = Path(__file__).resolve().parents[1]
-sys.path.insert(0, str(REPO))
-
-from fuckmark.cycle8.control_carrier import required_sanitizers_keep  # noqa: E402
-from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1  # noqa: E402
-
-H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
-CHROMIUM_PRE_FONT = "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf"
-FALLBACK_FONTS = (
-    "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
-    "/usr/share/fonts/truetype/droid/DroidSansFallbackFull.ttf",
-    "/usr/share/fonts/truetype/liberation/LiberationMono-Regular.ttf",
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep
+from fuckmark.cycle8.threat_model_audit import (
+    CHROMIUM_PRE_FONT,
+    H16_RESEARCH_EXTRA_INSTALL,
+    SHAPING_FALLBACK_FONTS,
+    SHAPING_LEFT,
+    SHAPING_RIGHT,
 )
-SHAPING_LEFT = "A"
-SHAPING_RIGHT = "B"
-SCAN_SOURCE = "I do not agree."
+from fuckmark.cycle8.unicode_meta import is_default_ignorable_v1
 
 
 def _research_imports():
     try:
-        import uharfbuzz as hb
+        import uharfbuzz as harfbuzz
         from fontTools.pens.boundsPen import BoundsPen
         from fontTools.ttLib import TTFont
     except ImportError as error:
         raise SystemExit(f"uharfbuzz and fonttools are required: {H16_RESEARCH_EXTRA_INSTALL}") from error
-    return hb, BoundsPen, TTFont
+    return harfbuzz, BoundsPen, TTFont
 
 
 class ShapingOracle:
-    """Advance-width and ink-preserving invisibility oracle for one font."""
-
     def __init__(self, path: str) -> None:
-        hb, bounds_pen, tt_font = _research_imports()
-        self._hb = hb
+        harfbuzz, bounds_pen, tt_font = _research_imports()
+        self._hb = harfbuzz
         self._bounds_pen = bounds_pen
         self._path = path
-        blob = hb.Blob.from_file_path(path)
-        self._font = hb.Font(hb.Face(blob))
-        tt = tt_font(path)
-        self._glyph_order = tt.getGlyphOrder()
-        self._glyph_set = tt.getGlyphSet()
-        self._cmap = tt.getBestCmap() or {}
+        self._font = harfbuzz.Font(harfbuzz.Face(harfbuzz.Blob.from_file_path(path)))
+        font = tt_font(path)
+        self._glyph_order = font.getGlyphOrder()
+        self._glyph_set = font.getGlyphSet()
+        self._cmap = font.getBestCmap() or {}
         self._ink_cache: dict[int, bool] = {}
         self._baseline = self._shape(SHAPING_LEFT + SHAPING_RIGHT)
 
@@ -70,35 +47,37 @@ def path(self) -> str:
     def maps(self, codepoint: int) -> bool:
         return codepoint in self._cmap
 
-    def _has_ink(self, gid: int) -> bool:
-        cached = self._ink_cache.get(gid)
+    def _has_ink(self, glyph_id: int) -> bool:
+        cached = self._ink_cache.get(glyph_id)
         if cached is not None:
             return cached
         pen = self._bounds_pen(self._glyph_set)
         try:
-            self._glyph_set[self._glyph_order[gid]].draw(pen)
+            self._glyph_set[self._glyph_order[glyph_id]].draw(pen)
             inked = pen.bounds is not None
         except (KeyError, IndexError):
             inked = True
-        self._ink_cache[gid] = inked
+        self._ink_cache[glyph_id] = inked
         return inked
 
     def _shape(self, text: str) -> tuple[tuple[int, int], ...]:
-        buf = self._hb.Buffer()
-        buf.add_str(text)
-        buf.guess_segment_properties()
-        self._hb.shape(self._font, buf)
+        buffer = self._hb.Buffer()
+        buffer.add_str(text)
+        buffer.guess_segment_properties()
+        self._hb.shape(self._font, buffer)
         return tuple(
-            (info.codepoint, pos.x_advance)
-            for info, pos in zip(buf.glyph_infos, buf.glyph_positions, strict=True)
+            (info.codepoint, position.x_advance)
+            for info, position in zip(buffer.glyph_infos, buffer.glyph_positions, strict=True)
         )
 
-    def invisible(self, codepoint: int) -> bool:
-        run = self._shape(SHAPING_LEFT + chr(codepoint) + SHAPING_RIGHT)
-        if sum(advance for _, advance in run) != sum(advance for _, advance in self._baseline):
-            return False
-        inked = tuple(gid for gid, _ in run if self._has_ink(gid))
-        return inked == tuple(gid for gid, _ in self._baseline if self._has_ink(gid))
+    def _signature(self, run: tuple[tuple[int, int], ...]) -> tuple[int, tuple[int, ...]]:
+        advance = sum(value for _, value in run)
+        inked = tuple(glyph_id for glyph_id, _ in run if self._has_ink(glyph_id))
+        return advance, inked
+
+    def invisible(self, codepoint: int, left: str = SHAPING_LEFT, right: str = SHAPING_RIGHT) -> bool:
+        baseline = self._baseline if (left, right) == (SHAPING_LEFT, SHAPING_RIGHT) else self._shape(left + right)
+        return self._signature(self._shape(left + chr(codepoint) + right)) == self._signature(baseline)
 
 
 def iter_assigned_codepoints():
@@ -112,69 +91,81 @@ def iter_assigned_codepoints():
         yield codepoint, character, category
 
 
+def _name(codepoint: int) -> str | None:
+    try:
+        return unicodedata.name(chr(codepoint))
+    except ValueError:
+        return None
+
+
 def scan() -> dict[str, object]:
     primary = ShapingOracle(CHROMIUM_PRE_FONT)
-    fallbacks = [ShapingOracle(path) for path in FALLBACK_FONTS if Path(path).is_file()]
+    fallbacks = [ShapingOracle(path) for path in SHAPING_FALLBACK_FONTS if Path(path).is_file()]
 
     survivors: list[dict[str, object]] = []
+    invisible_codepoints: list[int] = []
+    invisible_categories: dict[str, int] = {}
     assigned = 0
     sanitizer_survivors = 0
-    shaping_invisible = 0
-    category_counts: dict[str, int] = {}
+    intersection_categories: dict[str, int] = {}
 
     for codepoint, character, category in iter_assigned_codepoints():
         assigned += 1
         keeps = required_sanitizers_keep(f"I{character} do not agree.")
         if keeps:
             sanitizer_survivors += 1
-        invisible_primary = primary.invisible(codepoint)
-        if invisible_primary:
-            shaping_invisible += 1
-        if not (keeps and invisible_primary):
+        if not primary.invisible(codepoint):
             continue
-        invisible_everywhere = all(
-            oracle.invisible(codepoint) for oracle in fallbacks if oracle.maps(codepoint)
-        )
-        category_counts[category] = category_counts.get(category, 0) + 1
+        invisible_codepoints.append(codepoint)
+        invisible_categories[category] = invisible_categories.get(category, 0) + 1
+        if not keeps:
+            continue
+        intersection_categories[category] = intersection_categories.get(category, 0) + 1
         survivors.append(
             {
                 "codepoint": f"U+{codepoint:04X}",
                 "category": category,
                 "default_ignorable": is_default_ignorable_v1(codepoint),
                 "mapped_in_chromium_pre_font": primary.maps(codepoint),
-                "invisible_in_every_mapping_fallback": invisible_everywhere,
+                "invisible_in_every_mapping_fallback": all(
+                    oracle.invisible(codepoint) for oracle in fallbacks if oracle.maps(codepoint)
+                ),
                 "name": _name(codepoint),
             }
         )
 
+    control_survivors = [
+        codepoint
+        for codepoint in range(0x110000)
+        if unicodedata.category(chr(codepoint)) == "Cc"
+        and required_sanitizers_keep(f"I{chr(codepoint)} do not agree.")
+    ]
+
     return {
         "assigned_codepoints_scanned": assigned,
         "required_sanitizer_fixed_point_count": sanitizer_survivors,
-        "shaping_invisible_count": shaping_invisible,
+        "shaping_invisible_count": len(invisible_codepoints),
+        "shaping_invisible_categories": dict(sorted(invisible_categories.items())),
+        "shaping_invisible_codepoints": [f"U+{value:04X}" for value in invisible_codepoints],
         "intersection_count": len(survivors),
-        "intersection_categories": dict(sorted(category_counts.items())),
+        "intersection_categories": dict(sorted(intersection_categories.items())),
         "intersection": survivors,
+        "cc_required_sanitizer_fixed_point_count": len(control_survivors),
+        "cc_required_sanitizer_fixed_points": [f"U+{value:04X}" for value in control_survivors],
         "chromium_pre_font": CHROMIUM_PRE_FONT,
         "fallback_fonts": [oracle.path for oracle in fallbacks],
     }
 
 
-def _name(codepoint: int) -> str | None:
-    try:
-        return unicodedata.name(chr(codepoint))
-    except ValueError:
-        return None
-
-
 def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
+    parser = argparse.ArgumentParser(description="H16 exhaustive shaping closure scan")
     parser.add_argument("--out", type=Path, default=None)
-    args = parser.parse_args()
+    arguments = parser.parse_args()
     payload = scan()
     text = json.dumps(payload, indent=2, sort_keys=True)
-    if args.out is not None:
-        args.out.parent.mkdir(parents=True, exist_ok=True)
-        args.out.write_text(text + "\n", encoding="utf-8")
+    if arguments.out is not None:
+        arguments.out.parent.mkdir(parents=True, exist_ok=True)
+        arguments.out.write_text(text + "\n", encoding="utf-8")
     print(text)
     return 0
 
diff --git a/tools/h16_tokenizer_threat_model.py b/tools/h16_tokenizer_threat_model.py
index 0a392d95..abe7d362 100644
--- a/tools/h16_tokenizer_threat_model.py
+++ b/tools/h16_tokenizer_threat_model.py
@@ -1,118 +1,113 @@
-"""H16 threat-model probe: what real detector tokenizers do to carrier code points.
-
-SynthID-Text scores model tokens, not raw characters. If the production
-tokenizer normalizes a carrier away, the carrier never reaches the detector and
-no external "sanitizer" is involved at all. If it survives as distinct tokens,
-tokenization itself is the disruption channel. This probe answers which.
-"""
-
 from __future__ import annotations
 
 import glob
 import json
-import sys
-import unicodedata
 from pathlib import Path
 
-from tokenizers import Tokenizer
+from fuckmark.cycle8.threat_model_audit import AUDIT_SOURCE, H16_RESEARCH_EXTRA_INSTALL
 
 CACHE = Path.home() / ".cache/huggingface/hub"
 
-MODELS = {
-    "gemma-2-2b-it": "models--unsloth--gemma-2-2b-it",
-    "gemma-3-1b-it": "models--unsloth--gemma-3-1b-it",
-    "gpt2": "models--openai-community--gpt2",
-    "llama-2-7b": "models--NousResearch--Llama-2-7b-hf",
-    "llama-3-8b": "models--unsloth--llama-3-8b-Instruct",
-    "mistral-7b-v0.2": "models--mistralai--Mistral-7B-Instruct-v0.2",
-    "xlm-roberta-base": "models--FacebookAI--xlm-roberta-base",
-    "t5-small": "models--google-t5--t5-small",
-}
-
-CARRIERS = {
-    "U+034F CGJ (Mn)": "\u034f",
-    "U+FE00 VS-1 (Mn)": "\ufe00",
-    "U+200B ZWSP (Cf)": "\u200b",
-    "U+200C ZWNJ (Cf)": "\u200c",
-    "U+2060 WJ (Cf)": "\u2060",
-    "U+00AD SHY (Cf)": "\u00ad",
-    "U+FEFF BOM (Cf)": "\ufeff",
-    "U+007F DEL (Cc)": "\u007f",
-    "U+0080 PAD (Cc)": "\u0080",
-}
-
-SOURCE = "I do not agree."
-
-
-def find(model_dir: str) -> Path | None:
-    hits = glob.glob(str(CACHE / model_dir / "snapshots" / "*" / "tokenizer.json"))
+MODELS: tuple[tuple[str, str], ...] = (
+    ("gemma-2-2b-it", "models--unsloth--gemma-2-2b-it"),
+    ("gemma-3-1b-it", "models--unsloth--gemma-3-1b-it"),
+    ("gpt2", "models--openai-community--gpt2"),
+    ("llama-2-7b", "models--NousResearch--Llama-2-7b-hf"),
+    ("llama-3-8b", "models--unsloth--llama-3-8b-Instruct"),
+    ("mistral-7b-v0.2", "models--mistralai--Mistral-7B-Instruct-v0.2"),
+    ("xlm-roberta-base", "models--FacebookAI--xlm-roberta-base"),
+    ("t5-small", "models--google-t5--t5-small"),
+)
+
+CARRIERS: tuple[tuple[str, str], ...] = (
+    ("U+034F CGJ (Mn)", "\u034f"),
+    ("U+FE00 VS-1 (Mn)", "\ufe00"),
+    ("U+200B ZWSP (Cf)", "\u200b"),
+    ("U+200C ZWNJ (Cf)", "\u200c"),
+    ("U+2060 WJ (Cf)", "\u2060"),
+    ("U+00AD SHY (Cf)", "\u00ad"),
+    ("U+FEFF BOM (Cf)", "\ufeff"),
+    ("U+007F DEL (Cc)", "\u007f"),
+    ("U+0080 PAD (Cc)", "\u0080"),
+)
+
+
+def _tokenizer_class():
+    try:
+        from tokenizers import Tokenizer
+    except ImportError as error:
+        raise SystemExit(f"tokenizers is required: {H16_RESEARCH_EXTRA_INSTALL}") from error
+    return Tokenizer
+
+
+def find_tokenizer(model_dir: str) -> Path | None:
+    hits = sorted(glob.glob(str(CACHE / model_dir / "snapshots" / "*" / "tokenizer.json")))
     return Path(hits[0]) if hits else None
 
 
 def insert_after_letters(source: str, payload: str) -> str:
-    out = []
-    for ch in source:
-        out.append(ch)
-        if ch.isascii() and ch.isalpha():
-            out.append(payload)
-    return "".join(out)
+    chunks: list[str] = []
+    for character in source:
+        chunks.append(character)
+        if character.isascii() and character.isalpha():
+            chunks.append(payload)
+    return "".join(chunks)
+
+
+def normalizer_label(spec: dict[str, object]) -> str | None:
+    normalizer = spec.get("normalizer")
+    if not isinstance(normalizer, dict):
+        return None
+    kind = normalizer.get("type")
+    if kind != "Sequence":
+        return kind
+    inner = [entry.get("type") for entry in normalizer.get("normalizers", [])]
+    return f"Sequence[{', '.join(str(value) for value in inner)}]"
 
 
 def main() -> int:
-    results = {}
-    for name, model_dir in MODELS.items():
-        path = find(model_dir)
+    tokenizer_class = _tokenizer_class()
+    results: dict[str, object] = {}
+    for name, model_dir in MODELS:
+        path = find_tokenizer(model_dir)
         if path is None:
             print(f"{name}: tokenizer.json not cached, skipped")
             continue
         spec = json.loads(path.read_text(encoding="utf-8"))
-        normalizer = spec.get("normalizer")
-        tok = Tokenizer.from_file(str(path))
-        baseline = tok.encode(SOURCE, add_special_tokens=False).ids
-
-        norm_kind = None
-        if isinstance(normalizer, dict):
-            norm_kind = normalizer.get("type")
-            if norm_kind == "Sequence":
-                norm_kind = "Sequence" + str(
-                    [n.get("type") for n in normalizer.get("normalizers", [])]
-                )
+        tokenizer = tokenizer_class.from_file(str(path))
+        baseline = tokenizer.encode(AUDIT_SOURCE, add_special_tokens=False).ids
 
         rows = {}
-        for label, payload in CARRIERS.items():
-            applied = insert_after_letters(SOURCE, payload)
-            ids = tok.encode(applied, add_special_tokens=False).ids
-            # Does the carrier reach the token stream at all?
-            reaches = ids != baseline
+        for label, payload in CARRIERS:
+            ids = tokenizer.encode(insert_after_letters(AUDIT_SOURCE, payload), add_special_tokens=False).ids
             rows[label] = {
                 "baseline_token_count": len(baseline),
                 "carrier_token_count": len(ids),
-                "token_ids_changed": reaches,
-                "decoded_roundtrip_preserves_carrier": payload in tok.decode(ids),
+                "reaches_token_stream": ids != baseline,
             }
+        reaching = [label for label, row in rows.items() if row["reaches_token_stream"]]
+        dropped = [label for label, row in rows.items() if not row["reaches_token_stream"]]
         results[name] = {
-            "normalizer": norm_kind,
-            "normalizer_strips_carriers": False,
-            "baseline_tokens": len(baseline),
+            "normalizer": normalizer_label(spec),
+            "baseline_token_count": len(baseline),
+            "carriers_probed": len(CARRIERS),
+            "carriers_reaching_token_stream": len(reaching),
+            "carriers_dropped": dropped,
             "carriers": rows,
         }
-        surviving = [k for k, v in rows.items() if v["token_ids_changed"]]
-        dropped = [k for k, v in rows.items() if not v["token_ids_changed"]]
         print(f"\n=== {name} ===")
-        print(f"  normalizer: {norm_kind}")
+        print(f"  normalizer: {normalizer_label(spec)}")
         print(f"  baseline tokens: {len(baseline)}")
-        print(f"  carrier REACHES token stream ({len(surviving)}/{len(CARRIERS)}):")
-        for k in surviving:
-            print(f"      {k:22} tokens {len(baseline)} -> {rows[k]['carrier_token_count']}")
-        if dropped:
-            print(f"  carrier DROPPED by tokenizer ({len(dropped)}):")
-            for k in dropped:
-                print(f"      {k}")
-
-    out = Path("/workspace/evidence/h16-local/tokenizer-threat-model.json")
-    out.parent.mkdir(parents=True, exist_ok=True)
-    out.write_text(json.dumps(results, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
-    print(f"\nwrote {out}")
+        print(f"  carriers reaching the token stream: {len(reaching)}/{len(CARRIERS)}")
+        for label in reaching:
+            print(f"      {label:22} tokens {len(baseline)} -> {rows[label]['carrier_token_count']}")
+        for label in dropped:
+            print(f"      DROPPED {label}")
+
+    destination = Path("evidence/h16-local/tokenizer-threat-model.json")
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(json.dumps(results, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    print(f"\nwrote {destination}")
     return 0
 
 

From e17f7a127f60de50442d2488803ea4fcd406ee47 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:34:26 +0000
Subject: [PATCH 15/28] Record that the corrected gate is already met by
 evidence on record.

Reading the already-recorded frozen confirmation evidence against
proposed_gate_v2, with no new corpus and no retuned seed: identity detects
185/192, the mix transform detects 0/192 watermarked and 0/192 unwatermarked,
visible text passes 192/192, every deployable sanitizer still detects 0, and
mix survives 21/21 frozen sanitizer fixtures.

The gap between the project and a shippable mechanism is therefore a decision
about which sanitizers the gate should require, not a missing carrier.

This does not make that decision. product_authorized stays False, the public
carrier set and release registry stay empty, proposed_gate_v2 stays
proposal_only_not_active, and mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md               |  2 +
 evidence/h16-local/README.md                  | 15 ++++++
 fuckmark/cycle8/threat_model_audit.py         | 54 ++++++++++++++++---
 ...fuckmark-cycle8-threat-model-audit-v1.json |  2 +-
 tests/test_cycle8_threat_model_audit.py       | 23 ++++++++
 5 files changed, 89 insertions(+), 7 deletions(-)

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index a19da3dc..67a23bc6 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -154,6 +154,8 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **The gate is wrong on scope and on form.** On scope, the frozen product contract classifies `default_ignorable_removal` and `nonspacing_mark_removal` as `stress_only_not_frozen`, yet `required_sanitizers_keep` treats both as hard requirements. That is the entire blockage: mix survives 21/21 frozen sanitizer fixtures and every other publishability gate passes, so `sanitizer_weaknesses` fails only on those two. On form, the gate asks for carrier fixed-point survival `S(T(x)) == T(x)`, which is strictly stronger than the product goal that detection fail after sanitization.
 
+**The corrected gate is already met by evidence on record.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`, with no new corpus and no retuned seed: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every deployable sanitizer still detects 0. The gap between the project and a shippable mechanism is a decision about which sanitizers the gate should require, not a missing carrier.
+
 `proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Adopting it needs an explicit product decision and a fresh confirmation run. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
 
 Spec: `cycle8-threat-model-audit-v1`. Evidence: `evidence/h16-local/`.
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index 56c3bc56..f5ce7f9b 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -86,6 +86,21 @@ This is the whole of the blockage. Mix survives 21/21 frozen sanitizer fixtures.
 
 **Form.** The gate asks whether the carrier is a fixed point of every sanitizer, `S(T(x)) == T(x)`. The product goal is that detection fail after sanitization. Fixed-point survival is sufficient for that but not necessary, so the gate is strictly stronger than the goal it stands in for.
 
+## 5. The corrected gate is already met by evidence on record
+
+Reading the already-recorded frozen confirmation evidence against `proposed_gate_v2` — without running any new corpus and without retuning any spent seed — the corrected gate is already satisfied:
+
+| measurement | value |
+| --- | --- |
+| watermarked detected at identity | 185/192 |
+| watermarked detected after the mix transform | 0/192 |
+| unwatermarked detected after the mix transform | 0/192 |
+| visible-text pass rate | 192/192 |
+| detected after `nfc` / `nfkc` / `cf_strip` / `nfkc_cf_strip` / `ws_collapse` / `ws_collapse_nfkc_cf_strip` | 0 each |
+| frozen sanitizer fixture survival | 21/21 |
+
+So the gap between the project and a shippable mechanism is not a missing carrier. It is a decision about which sanitizers the gate should require. That decision is a product call and this record does not make it.
+
 ## What this does not do
 
 This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`; adopting it needs an explicit product decision and a fresh confirmation run on an unspent corpus.
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index 99043a40..da88d79f 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -11,11 +11,15 @@
 from .benchmark import strip_default_ignorable, strip_nonspacing_marks
 from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
 from .post_sanitizer_sequences import CYCLE8_POST_SANITIZER_SEQUENCES_HASH
-from .publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+from .publishability import (
+    CYCLE8_MIX_PUBLISHABILITY_HASH,
+    build_mix_confirmation_scorecard,
+    measure_mix_fixtures,
+)
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "0cab794c7fa85a5ba1f008157dd76b5279cb0a1c1413a0b3f9ca84a8317f6b34"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "8e96a5c26b3e0ddbb403bf89333074d298115a1288a0a992ced3f7f19b567cdb"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -182,6 +186,34 @@ def gate_promotes_stress_only_sanitizers() -> bool:
     )
 
 
+def proposed_gate_status_on_existing_evidence() -> dict[str, object]:
+    scorecard = build_mix_confirmation_scorecard()
+    measured = measure_mix_fixtures()
+    durability = scorecard["durability"]
+    detected = durability["sanitizer_watermarked_detected"]
+    return {
+        "source": "already-run frozen confirmation evidence, no new corpus",
+        "identity_watermarked_detected": scorecard["effectiveness"]["identity"]["raw_watermarked_detected"],
+        "transformed_watermarked_rate": scorecard["effectiveness"]["transformed_wm"]["rate"],
+        "transformed_unwatermarked_rate": scorecard["effectiveness"]["transformed_uw"]["rate"],
+        "visible_pass_rate": scorecard["visibility"]["watermarked_pass_rate"],
+        "detected_after_each_deployable_sanitizer": dict(sorted(detected.items())),
+        "frozen_sanitizers_match_raw": durability["frozen_sanitizers_match_raw"],
+        "frozen_sanitizer_fixture_survival": [
+            measured["frozen_sanitizer_survive"],
+            measured["frozen_sanitizer_total"],
+        ],
+        "proposed_gate_v2_already_satisfied": (
+            all(value == 0 for value in detected.values())
+            and durability["frozen_sanitizers_match_raw"] is True
+            and scorecard["effectiveness"]["transformed_wm"]["rate"] == "0/192"
+            and scorecard["visibility"]["watermarked_pass_rate"] == "192/192"
+            and measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
+        ),
+        "adoption_still_blocked_on": "explicit product decision, not further carrier research",
+    }
+
+
 def threat_model_audit_payload() -> dict[str, object]:
     invisible_categories = shaping_invisible_categories()
     control_survivors = control_required_sanitizer_fixed_points()
@@ -294,8 +326,9 @@ def threat_model_audit_payload() -> dict[str, object]:
                 "chromium_portability",
                 "fresh_unspent_confirmation_corpus",
             ],
-            "adoption": "requires explicit product decision and a fresh confirmation run",
+            "adoption": "requires an explicit product decision and a fresh confirmation run",
         },
+        "proposed_gate_status_on_existing_evidence": proposed_gate_status_on_existing_evidence(),
         "stronger_priority_zero_safe_mechanism": None,
         "product_authorized": False,
         "mix_gate_not_rewritten": True,
@@ -314,9 +347,13 @@ def threat_model_audit_payload() -> dict[str, object]:
             "requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip "
             "and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product "
             "contract, are applied by no production detector tokenizer measured here, and corrupt "
-            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. The correct next step is a "
-            "product decision on the gate, not a further carrier search. This record does not make "
-            "that decision: the required bundle is unchanged and mix stays FAIL."
+            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. Read against the already "
+            "recorded frozen confirmation evidence, and without running any new corpus, the "
+            "proposed gate is already met: identity detects 185 of 192, mix detects 0 of 192, "
+            "every deployable sanitizer still detects 0, and visible text passes 192 of 192. The "
+            "correct next step is therefore a product decision on the gate, not a further carrier "
+            "search. This record does not make that decision: the required bundle is unchanged, "
+            "the proposal stays inactive, and mix stays FAIL."
         ),
     }
     return {**payload, "audit_hash": sha256_json(payload)}
@@ -366,6 +403,11 @@ def assert_threat_model_audit_committed() -> None:
         raise ValueError("every invisible code point must die to the required bundle")
     if disk["closure"]["substitution_class_survivor_count"] != 0:
         raise ValueError("substitution class must have no sanitizer survivor")
+    status = disk["proposed_gate_status_on_existing_evidence"]
+    if status["source"] != "already-run frozen confirmation evidence, no new corpus":
+        raise ValueError("the proposed gate reading must not consume a fresh corpus")
+    if status["adoption_still_blocked_on"] != "explicit product decision, not further carrier research":
+        raise ValueError("the audit must not treat the gate proposal as adopted")
     live = threat_model_audit_payload()
     if live != disk:
         raise ValueError("threat model audit spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index c10430c7..8a918355 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"0cab794c7fa85a5ba1f008157dd76b5279cb0a1c1413a0b3f9ca84a8317f6b34","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. The correct next step is a product decision on the gate, not a further carrier search. This record does not make that decision: the required bundle is unchanged and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts. A platform running either would corrupt ordinary user text in widely used writing systems, so no detector vendor can apply them as a preprocessing step.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_v2":{"adoption":"requires explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"8e96a5c26b3e0ddbb403bf89333074d298115a1288a0a992ced3f7f19b567cdb","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. Read against the already recorded frozen confirmation evidence, and without running any new corpus, the proposed gate is already met: identity detects 185 of 192, mix detects 0 of 192, every deployable sanitizer still detects 0, and visible text passes 192 of 192. The correct next step is therefore a product decision on the gate, not a further carrier search. This record does not make that decision: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts. A platform running either would corrupt ordinary user text in widely used writing systems, so no detector vendor can apply them as a preprocessing step.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision, not further carrier research","detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"proposed_gate_v2_already_satisfied":true,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192"},"proposed_gate_v2":{"adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index 5b457eb4..31484da7 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -19,6 +19,7 @@
     gate_promotes_stress_only_sanitizers,
     iter_shaping_invisible_codepoints,
     load_threat_model_audit,
+    proposed_gate_status_on_existing_evidence,
     render_identical_ascii_substitutes,
     sanitizer_deployability_damage,
     shaping_invisible_all_stripped_by_required_bundle,
@@ -28,6 +29,8 @@
     threat_model_audit_payload,
 )
 from fuckmark.cycle8.publishability import measure_mix_fixtures
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.transforms.registry import release_transform_registry
 
 
 def test_threat_model_audit_spec_is_committed_and_frozen():
@@ -156,6 +159,26 @@ def test_audit_records_all_four_questions():
         assert row["evidence"]
 
 
+def test_proposed_gate_is_already_met_by_existing_frozen_evidence():
+    status = proposed_gate_status_on_existing_evidence()
+    assert status["source"] == "already-run frozen confirmation evidence, no new corpus"
+    assert status["identity_watermarked_detected"] == 185
+    assert status["transformed_watermarked_rate"] == "0/192"
+    assert status["visible_pass_rate"] == "192/192"
+    assert all(value == 0 for value in status["detected_after_each_deployable_sanitizer"].values())
+    assert status["proposed_gate_v2_already_satisfied"] is True
+
+
+def test_gate_already_met_does_not_authorize_the_product():
+    disk = load_threat_model_audit()
+    assert disk["proposed_gate_status_on_existing_evidence"]["proposed_gate_v2_already_satisfied"] is True
+    assert disk["product_authorized"] is False
+    assert disk["mix_sanitizer_gate"] == "FAIL"
+    assert disk["proposed_gate_v2"]["status"] == "proposal_only_not_active"
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+
+
 def test_proposed_gate_excludes_only_the_stress_only_sanitizers():
     proposal = load_threat_model_audit()["proposed_gate_v2"]
     assert proposal["excluded_sanitizers"] == [

From 2f950a2afb370f94061db43be71920e609ad83bb Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:35:27 +0000
Subject: [PATCH 16/28] Refresh uv lock for the uharfbuzz and tokenizers
 research extras.

Co-authored-by: Byte271 
---
 uv.lock | 268 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 268 insertions(+)

diff --git a/uv.lock b/uv.lock
index 55b46cdf..3a7e12c5 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,37 @@ version = 1
 revision = 3
 requires-python = ">=3.11"
 
+[[package]]
+name = "anyio"
+version = "4.14.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
+]
+
+[[package]]
+name = "certifi"
+version = "2026.7.22"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a3/c2/24167ea9858356b47a87a50d39908bfdb72ceeefe0041586e704e5376b3a/certifi-2026.7.22.tar.gz", hash = "sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55", size = 138112, upload-time = "2026-07-22T03:35:12.644Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0b/a7/71ac2cff56fec219ed242bb11b8efb69fcc4bec75db06fb7bfe35de520e6/certifi-2026.7.22-py3-none-any.whl", hash = "sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775", size = 136983, upload-time = "2026-07-22T03:35:11.276Z" },
+]
+
+[[package]]
+name = "click"
+version = "8.5.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/0e/7fa0ef50764b67090eca4114772a2abf8b6148198475e54c660b97caeee6/click-8.5.0.tar.gz", hash = "sha256:ba0d2089de75ea0310e2dde03160e6ca10009947fb95a182f9b54021bb272e34", size = 382235, upload-time = "2026-08-26T13:33:14.56Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/50/6c0d534c5f134586a8e1ba4e330569e32f057e33372ae556463212fb4cd3/click-8.5.0-py3-none-any.whl", hash = "sha256:255bc9599cf7748b4b1a446ccc735421bd08a2ae529a8b88597d3de5664ee360", size = 125251, upload-time = "2026-08-26T13:33:12.928Z" },
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -11,6 +42,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
 ]
 
+[[package]]
+name = "filelock"
+version = "3.32.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6d/30/03b03951873a1a0ffc7e8ca0e10c15597b59e8d0e39260704cd2ea087bc4/filelock-3.32.4.tar.gz", hash = "sha256:2bde2e4cf732e0153406d8a7bc80620ecf5e621fe0d25e41143c4e3b4733ff30", size = 222126, upload-time = "2026-08-23T17:37:55.363Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/01/a4/9b63d595d748e3aff8812b65eacc1a2c4bd90b7c2012e08e72373b4835eb/filelock-3.32.4-py3-none-any.whl", hash = "sha256:22e58ca3b1ae3b98993b762d7338367ae64fe50252bf78d59da3bfebcdf1cedd", size = 99864, upload-time = "2026-08-23T17:37:53.913Z" },
+]
+
 [[package]]
 name = "fonttools"
 version = "4.63.0"
@@ -60,6 +100,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2c/47/c99d5268f354002ce80f8d029cd9d7d872969da1de8b93d32de4dc56d6f4/fonttools-4.63.0-py3-none-any.whl", hash = "sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d", size = 1164562, upload-time = "2026-05-14T12:04:29.092Z" },
 ]
 
+[[package]]
+name = "fsspec"
+version = "2026.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/00/78/f34251dadb8f3921264a1d9b8946f5e542014ee2614b285261b4e40e6775/fsspec-2026.7.0.tar.gz", hash = "sha256:c803c40f4cf860b49dea58ee3e1c33cb9c790520e233537e1340049f89b82a88", size = 317040, upload-time = "2026-07-28T16:34:51.052Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fd/3c/6a2bf344106328fd04963664a60b9bb6496fc25df8e962fcdc1367285fb9/fsspec-2026.7.0-py3-none-any.whl", hash = "sha256:b57ddbafedfaef7018c1ecab32aa200a9d7ca26b77965f64e48b70061249d279", size = 206583, upload-time = "2026-07-28T16:34:49.538Z" },
+]
+
 [[package]]
 name = "fuckmark"
 version = "0.3.0"
@@ -71,15 +120,109 @@ dev = [
 ]
 research = [
     { name = "fonttools" },
+    { name = "tokenizers" },
+    { name = "uharfbuzz" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "fonttools", marker = "extra == 'research'", specifier = ">=4.50" },
     { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.3" },
+    { name = "tokenizers", marker = "extra == 'research'", specifier = ">=0.20" },
+    { name = "uharfbuzz", marker = "extra == 'research'", specifier = ">=0.39" },
 ]
 provides-extras = ["dev", "research"]
 
+[[package]]
+name = "h11"
+version = "0.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
+]
+
+[[package]]
+name = "hf-xet"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1b/ab/522a2ab67f27971a9d48ca666d4fca85ef7d5282d142e31fd087e27b1bbe/hf_xet-1.6.0.tar.gz", hash = "sha256:2e58454a340b3556dfa4972d5451aff4fba8dd42a236600ba1a1d2b1514f0fef", size = 920527, upload-time = "2026-08-03T22:33:13.243Z" }
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From 0a87bfbf007299e86a4542664ce8dabcbf48b410 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:44:28 +0000
Subject: [PATCH 17/28] Fold the one real deployed sanitizer into the H16
 audit.

Literature review found that the claim 'no real sanitizer exists' is too
strong. Exactly one ships on by default in the watermarking ecosystem: the
UnicodeSanitizer in jwkirchenbauer/lm-watermarking, enabled by
WatermarkDetector(normalizers=['unicode']) and applied before tokenization.
It is not Mn-strip or default-ignorable-strip. It is NFC, then a fixed BMP
regex whose matches are replaced with a space, then a space collapse, then
Cc removal.

Measured against a faithful reproduction of it:

- It does not restore the unwatermarked source from mixed text.
- U+034F survives; U+FE00 is removed.
- 366 of the 396 invisible code points survive.
- It injects spurious visible spaces, so mixed text comes out mangled.
- It corrupts 5 of 7 ordinary samples, splitting an emoji ZWJ family into
  three people and breaking Persian ZWNJ and a Devanagari conjunct.

Because this sanitizer is real, proposed_gate_v2 now requires it, which makes
the proposal stricter rather than laxer. Detection after it is not measured
here and is recorded as UNMEASURED, so the earlier claim that the proposed
gate was already satisfied is withdrawn: the frozen conditions are met and
proposed_gate_v2_fully_satisfied is False.

product_authorized stays False, the required bundle is unchanged, the
proposal stays inactive, and mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md               |   4 +-
 evidence/h16-local/README.md                  |  26 +++-
 fuckmark/cycle8/threat_model_audit.py         | 128 +++++++++++++++---
 ...fuckmark-cycle8-threat-model-audit-v1.json |   2 +-
 tests/test_cycle8_threat_model_audit.py       |  49 ++++++-
 5 files changed, 182 insertions(+), 27 deletions(-)

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 67a23bc6..29848352 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -154,7 +154,9 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **The gate is wrong on scope and on form.** On scope, the frozen product contract classifies `default_ignorable_removal` and `nonspacing_mark_removal` as `stress_only_not_frozen`, yet `required_sanitizers_keep` treats both as hard requirements. That is the entire blockage: mix survives 21/21 frozen sanitizer fixtures and every other publishability gate passes, so `sanitizer_weaknesses` fails only on those two. On form, the gate asks for carrier fixed-point survival `S(T(x)) == T(x)`, which is strictly stronger than the product goal that detection fail after sanitization.
 
-**The corrected gate is already met by evidence on record.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`, with no new corpus and no retuned seed: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every deployable sanitizer still detects 0. The gap between the project and a shippable mechanism is a decision about which sanitizers the gate should require, not a missing carrier.
+**One sanitizer is real, and it is not either stress sanitizer.** The `UnicodeSanitizer` in `jwkirchenbauer/lm-watermarking` ships on by default and runs before tokenization. It is NFC plus a fixed BMP regex plus `Cc`-strip, and its matches are replaced with a space rather than deleted. Measured here it keeps 366 of the 396 invisible code points including `U+034F`, removes `U+FE00`, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Because it is real, `proposed_gate_v2` requires it.
+
+**Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`, with no new corpus and no retuned seed: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Detection after the real sanitizer is `UNMEASURED`, so the proposed gate is **not** claimed satisfied. The remaining work is that one measurement plus a decision about which sanitizers the gate should require — not a further carrier search, which the closure result rules out.
 
 `proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Adopting it needs an explicit product decision and a fresh confirmation run. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
 
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index f5ce7f9b..e5fba40e 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -56,6 +56,24 @@ The Gemma tokenizers that SynthID-Text is deployed on declare only the SentenceP
 
 The two SentencePiece `Precompiled` (`nmt_nfkc`) normalizers are the only ones that drop anything, and what they drop is DEL. That inverts the project's gate: real normalization removes the one class the gate permits and preserves the classes the gate forbids.
 
+### The one sanitizer that is real
+
+"No production tokenizer strips these" is not the same as "no real sanitizer exists". Exactly one ships on by default in the watermarking ecosystem: the `UnicodeSanitizer` in [`jwkirchenbauer/lm-watermarking`](https://github.com/jwkirchenbauer/lm-watermarking/blob/main/normalizers.py), which `WatermarkDetector` enables via `normalizers=["unicode"]` and applies before tokenization. It is not Mn-strip or default-ignorable-strip. It is NFC, then a fixed BMP regex whose matches are replaced with a **space**, then a space collapse, then `Cc` removal.
+
+Measured against it:
+
+| measurement | value |
+| --- | --- |
+| restores the unwatermarked source from mix | **no** |
+| mix carriers surviving | `U+034F` (`U+FE00` is removed) |
+| invisible code points surviving | 366 of 396 |
+| injects spurious visible spaces | yes |
+| ordinary samples corrupted | 5 of 7 |
+
+Because matches are replaced with a space rather than deleted, running it on mixed text turns `I do not agree with that.` into `I͏ d o͏ n o͏t a͏g r͏e e͏ w i͏t h͏ t h͏a t͏.` — the CGJ survives, `U+FE00` becomes a space, and word boundaries move. The sanitizer does not recover the original string; it produces mangled text. It is also lossy on ordinary input, splitting `👨‍👩‍👧` into three people separated by spaces and breaking the Persian ZWNJ and the Devanagari conjunct.
+
+Because this sanitizer is real, `proposed_gate_v2` **requires** it. Whether the detector fires on its output is not measured here and is recorded as `UNMEASURED`.
+
 ## 3. The stress sanitizers are not deployable
 
 `tools/h16_sanitizer_deployability.py` runs each sanitizer in the bundle over ordinary, non-adversarial text where every code point is needed to spell the sentence correctly.
@@ -86,9 +104,9 @@ This is the whole of the blockage. Mix survives 21/21 frozen sanitizer fixtures.
 
 **Form.** The gate asks whether the carrier is a fixed point of every sanitizer, `S(T(x)) == T(x)`. The product goal is that detection fail after sanitization. Fixed-point survival is sufficient for that but not necessary, so the gate is strictly stronger than the goal it stands in for.
 
-## 5. The corrected gate is already met by evidence on record
+## 5. Where the corrected gate stands on evidence already on record
 
-Reading the already-recorded frozen confirmation evidence against `proposed_gate_v2` — without running any new corpus and without retuning any spent seed — the corrected gate is already satisfied:
+Reading the already-recorded frozen confirmation evidence against `proposed_gate_v2` — without running any new corpus and without retuning any spent seed — the frozen conditions are already satisfied:
 
 | measurement | value |
 | --- | --- |
@@ -99,7 +117,9 @@ Reading the already-recorded frozen confirmation evidence against `proposed_gate
 | detected after `nfc` / `nfkc` / `cf_strip` / `nfkc_cf_strip` / `ws_collapse` / `ws_collapse_nfkc_cf_strip` | 0 each |
 | frozen sanitizer fixture survival | 21/21 |
 
-So the gap between the project and a shippable mechanism is not a missing carrier. It is a decision about which sanitizers the gate should require. That decision is a product call and this record does not make it.
+One condition is **not** satisfied and is recorded as `UNMEASURED`: detection after the lm-watermarking `UnicodeSanitizer`. That sanitizer removes `U+FE00`, keeps `U+034F`, and injects spaces, so mix reaches the detector in a materially different form than under the frozen sanitizers. Answering it needs a detector run, which this record does not perform.
+
+So `proposed_gate_v2` is **not** claimed to be satisfied. What the evidence does show is that the remaining work is one measurement plus a decision about which sanitizers the gate should require — not a further carrier search, which the closure result rules out entirely.
 
 ## What this does not do
 
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index da88d79f..e0334058 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import json
+import re
 import unicodedata
 from pathlib import Path
 
@@ -10,6 +11,7 @@
 from ..sanitizer_robustness import strip_unicode_format_characters
 from .benchmark import strip_default_ignorable, strip_nonspacing_marks
 from .control_carrier import CYCLE8_CONTROL_CARRIER_HASH, required_sanitizers_keep
+from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
 from .post_sanitizer_sequences import CYCLE8_POST_SANITIZER_SEQUENCES_HASH
 from .publishability import (
     CYCLE8_MIX_PUBLISHABILITY_HASH,
@@ -19,7 +21,7 @@
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "8e96a5c26b3e0ddbb403bf89333074d298115a1288a0a992ced3f7f19b567cdb"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "980f4ae6f17b7e6c2f86ed08236f63cab06e7fd1233612a7ee01cc3075472c06"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -31,6 +33,16 @@
 )
 SHAPING_LEFT = "A"
 SHAPING_RIGHT = "B"
+LM_WATERMARKING_UNICODE_SANITIZER_SOURCE = (
+    "jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', "
+    "the shipped default of WatermarkDetector(normalizers=['unicode'])"
+)
+LM_WATERMARKING_UNICODE_SANITIZER_PATTERN = re.compile(
+    "[\u00a0\u1680\u180e\u2000-\u200b\u200c\u200d\u200e\u200f\u2060\u2063\u202f\u205f\u3000"
+    "\ufeff\uffa0\ufff9\ufffa\ufffb\ufe00\ufe01\ufe02\ufe03\ufe04\ufe05\ufe06\ufe07\ufe08\ufe09"
+    "\ufe0a\ufe0b\ufe0c\ufe0d\ufe0e\ufe0f\u3164\u202a\u202b\u202c\u202d\u202e\u202f]"
+)
+REAL_SANITIZER_SOURCE = "I do not agree with that."
 SHAPING_CONTEXTS: tuple[tuple[str, str, str], ...] = (
     ("latin", "A", "B"),
     ("latin_lower", "n", "o"),
@@ -170,6 +182,51 @@ def sanitizer_deployability_damage() -> dict[str, dict[str, object]]:
     return report
 
 
+def lm_watermarking_unicode_sanitizer(text: str) -> str:
+    cleaned = unicodedata.normalize("NFC", text)
+    cleaned = LM_WATERMARKING_UNICODE_SANITIZER_PATTERN.sub(" ", cleaned)
+    cleaned = re.sub(" +", " ", cleaned)
+    return "".join(character for character in cleaned if unicodedata.category(character) != "Cc")
+
+
+def real_world_sanitizer_observations() -> dict[str, object]:
+    mixed = apply_letter_alternating_mix(REAL_SANITIZER_SOURCE)
+    cleaned = lm_watermarking_unicode_sanitizer(mixed)
+    carriers = sorted(LETTER_MIX_APPROVED_CARRIERS)
+    surviving = [
+        codepoint
+        for codepoint in carriers
+        if lm_watermarking_unicode_sanitizer(f"A{chr(codepoint)}B") == f"A{chr(codepoint)}B"
+    ]
+    invisible = list(iter_shaping_invisible_codepoints())
+    invisible_surviving = [
+        codepoint
+        for codepoint in invisible
+        if lm_watermarking_unicode_sanitizer(f"A{chr(codepoint)}B") == f"A{chr(codepoint)}B"
+    ]
+    corrupted = [
+        sample_id
+        for sample_id, text in DEPLOYABILITY_CORPUS
+        if lm_watermarking_unicode_sanitizer(text) != text
+    ]
+    return {
+        "source": LM_WATERMARKING_UNICODE_SANITIZER_SOURCE,
+        "shipped_on_by_default": True,
+        "steps": ["nfc", "regex_replace_with_space", "collapse_spaces", "cc_strip"],
+        "restores_the_unwatermarked_source": cleaned == REAL_SANITIZER_SOURCE,
+        "output_differs_from_source": cleaned != REAL_SANITIZER_SOURCE,
+        "injects_spurious_visible_spaces": cleaned.count(" ") > REAL_SANITIZER_SOURCE.count(" "),
+        "mix_carriers": [f"U+{codepoint:04X}" for codepoint in carriers],
+        "mix_carriers_surviving": [f"U+{codepoint:04X}" for codepoint in surviving],
+        "invisible_codepoints_surviving": len(invisible_surviving),
+        "invisible_codepoints_total": len(invisible),
+        "ordinary_text_corrupted": len(corrupted),
+        "ordinary_text_corpus_size": len(DEPLOYABILITY_CORPUS),
+        "ordinary_text_corrupted_sample_ids": corrupted,
+        "detection_after_this_sanitizer": "UNMEASURED",
+    }
+
+
 def contract_stress_only_sanitizers() -> tuple[str, ...]:
     assumptions = product_contract_payload()["sanitizer_assumptions"]
     return tuple(assumptions["stress_only_not_frozen"])
@@ -203,14 +260,20 @@ def proposed_gate_status_on_existing_evidence() -> dict[str, object]:
             measured["frozen_sanitizer_survive"],
             measured["frozen_sanitizer_total"],
         ],
-        "proposed_gate_v2_already_satisfied": (
+        "frozen_sanitizer_conditions_satisfied": (
             all(value == 0 for value in detected.values())
             and durability["frozen_sanitizers_match_raw"] is True
             and scorecard["effectiveness"]["transformed_wm"]["rate"] == "0/192"
             and scorecard["visibility"]["watermarked_pass_rate"] == "192/192"
             and measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
         ),
-        "adoption_still_blocked_on": "explicit product decision, not further carrier research",
+        "lm_watermarking_unicode_sanitizer_condition": "UNMEASURED",
+        "proposed_gate_v2_fully_satisfied": False,
+        "outstanding_measurement": (
+            "detection after the lm-watermarking UnicodeSanitizer, which removes U+FE00, keeps "
+            "U+034F, and injects spurious spaces; it does not restore the unwatermarked source"
+        ),
+        "adoption_still_blocked_on": "explicit product decision plus the outstanding measurement",
     }
 
 
@@ -238,11 +301,16 @@ def threat_model_audit_payload() -> dict[str, object]:
             "id": "q2_are_stress_sanitizers_realistic",
             "question": "Are Mn-strip and default-ignorable-strip realistic countermeasures?",
             "answer": (
-                "No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai "
-                "and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ "
-                "sequences and Devanagari conjuncts. A platform running either would corrupt "
-                "ordinary user text in widely used writing systems, so no detector vendor can "
-                "apply them as a preprocessing step."
+                "Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly "
+                "one real sanitizer ships on by default in the watermarking ecosystem: the "
+                "lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus "
+                "Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 "
+                "of the 396 invisible code points intact, including U+034F, and it corrupts 5 of "
+                "7 ordinary samples by replacing matches with spaces. Mn-strip and "
+                "default-ignorable-strip remain undeployable on their own terms: Mn-strip "
+                "corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and "
+                "default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and "
+                "Devanagari conjuncts."
             ),
             "evidence": "evidence/h16-local/sanitizer-deployability.json",
         },
@@ -306,6 +374,7 @@ def threat_model_audit_payload() -> dict[str, object]:
         },
         "tokenizer_observations": [dict(row) for row in TOKENIZER_OBSERVATIONS],
         "sanitizer_deployability": damage,
+        "real_world_sanitizer": real_world_sanitizer_observations(),
         "contract_stress_only_sanitizers": list(stress_only),
         "gate_promotes_stress_only_sanitizers": gate_promotes_stress_only_sanitizers(),
         "findings": [dict(row) for row in findings],
@@ -316,7 +385,17 @@ def threat_model_audit_payload() -> dict[str, object]:
                 "rather than on carrier fixed-point survival under sanitizers that corrupt "
                 "ordinary text."
             ),
-            "required_sanitizers": ["raw", "nfc", "nfkc", "cf_strip", "nfkc_cf_strip", "ws_collapse"],
+            "required_sanitizers": [
+                "raw",
+                "nfc",
+                "nfkc",
+                "cf_strip",
+                "nfkc_cf_strip",
+                "ws_collapse",
+                "lm_watermarking_unicode_sanitizer",
+            ],
+            "added_since_first_draft": ["lm_watermarking_unicode_sanitizer"],
+            "addition_reason": "the only sanitizer measured here that really ships on by default",
             "excluded_sanitizers": list(stress_only),
             "exclusion_reason": "not deployable without corrupting ordinary multilingual text",
             "condition": "detector must not detect after each required sanitizer",
@@ -347,13 +426,19 @@ def threat_model_audit_payload() -> dict[str, object]:
             "requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip "
             "and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product "
             "contract, are applied by no production detector tokenizer measured here, and corrupt "
-            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. Read against the already "
-            "recorded frozen confirmation evidence, and without running any new corpus, the "
-            "proposed gate is already met: identity detects 185 of 192, mix detects 0 of 192, "
-            "every deployable sanitizer still detects 0, and visible text passes 192 of 192. The "
-            "correct next step is therefore a product decision on the gate, not a further carrier "
-            "search. This record does not make that decision: the required bundle is unchanged, "
-            "the proposal stays inactive, and mix stays FAIL."
+            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no "
+            "sanitizer is real. Exactly one ships on by default, the lm-watermarking "
+            "UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 "
+            "of the 396 invisible code points including U+034F, removes U+FE00, injects spurious "
+            "spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked "
+            "source. Read against the already recorded frozen confirmation evidence, and without "
+            "running any new corpus, the frozen conditions of the proposed gate are already met: "
+            "identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still "
+            "detects 0, and visible text passes 192 of 192. Detection after the real sanitizer is "
+            "the one condition still unmeasured, so the proposed gate is not yet fully satisfied. "
+            "The correct next step is a product decision on the gate plus that single measurement, "
+            "not a further carrier search. This record makes neither: the required bundle is "
+            "unchanged, the proposal stays inactive, and mix stays FAIL."
         ),
     }
     return {**payload, "audit_hash": sha256_json(payload)}
@@ -406,8 +491,15 @@ def assert_threat_model_audit_committed() -> None:
     status = disk["proposed_gate_status_on_existing_evidence"]
     if status["source"] != "already-run frozen confirmation evidence, no new corpus":
         raise ValueError("the proposed gate reading must not consume a fresh corpus")
-    if status["adoption_still_blocked_on"] != "explicit product decision, not further carrier research":
-        raise ValueError("the audit must not treat the gate proposal as adopted")
+    if status["proposed_gate_v2_fully_satisfied"] is not False:
+        raise ValueError("the proposed gate must not be reported as fully satisfied")
+    if status["lm_watermarking_unicode_sanitizer_condition"] != "UNMEASURED":
+        raise ValueError("detection after the real sanitizer must stay honestly unmeasured")
+    real = disk["real_world_sanitizer"]
+    if real["restores_the_unwatermarked_source"] is not False:
+        raise ValueError("the real sanitizer measurement must record whether the source is restored")
+    if real["detection_after_this_sanitizer"] != "UNMEASURED":
+        raise ValueError("detection after the real sanitizer must stay honestly unmeasured")
     live = threat_model_audit_payload()
     if live != disk:
         raise ValueError("threat model audit spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index 8a918355..20fd0b90 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"8e96a5c26b3e0ddbb403bf89333074d298115a1288a0a992ced3f7f19b567cdb","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. Read against the already recorded frozen confirmation evidence, and without running any new corpus, the proposed gate is already met: identity detects 185 of 192, mix detects 0 of 192, every deployable sanitizer still detects 0, and visible text passes 192 of 192. The correct next step is therefore a product decision on the gate, not a further carrier search. This record does not make that decision: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"No. They are not deployable. Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation. Default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts. A platform running either would corrupt ordinary user text in widely used writing systems, so no detector vendor can apply them as a preprocessing step.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision, not further carrier research","detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"proposed_gate_v2_already_satisfied":true,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192"},"proposed_gate_v2":{"adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"980f4ae6f17b7e6c2f86ed08236f63cab06e7fd1233612a7ee01cc3075472c06","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Read against the already recorded frozen confirmation evidence, and without running any new corpus, the frozen conditions of the proposed gate are already met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Detection after the real sanitizer is the one condition still unmeasured, so the proposed gate is not yet fully satisfied. The correct next step is a product decision on the gate plus that single measurement, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus the outstanding measurement","detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"UNMEASURED","outstanding_measurement":"detection after the lm-watermarking UnicodeSanitizer, which removes U+FE00, keeps U+034F, and injects spurious spaces; it does not restore the unwatermarked source","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":"UNMEASURED","injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index 31484da7..d5c60e8a 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -18,8 +18,10 @@
     control_required_sanitizer_fixed_points,
     gate_promotes_stress_only_sanitizers,
     iter_shaping_invisible_codepoints,
+    lm_watermarking_unicode_sanitizer,
     load_threat_model_audit,
     proposed_gate_status_on_existing_evidence,
+    real_world_sanitizer_observations,
     render_identical_ascii_substitutes,
     sanitizer_deployability_damage,
     shaping_invisible_all_stripped_by_required_bundle,
@@ -159,19 +161,58 @@ def test_audit_records_all_four_questions():
         assert row["evidence"]
 
 
-def test_proposed_gate_is_already_met_by_existing_frozen_evidence():
+def test_frozen_gate_conditions_are_met_by_existing_evidence():
     status = proposed_gate_status_on_existing_evidence()
     assert status["source"] == "already-run frozen confirmation evidence, no new corpus"
     assert status["identity_watermarked_detected"] == 185
     assert status["transformed_watermarked_rate"] == "0/192"
     assert status["visible_pass_rate"] == "192/192"
     assert all(value == 0 for value in status["detected_after_each_deployable_sanitizer"].values())
-    assert status["proposed_gate_v2_already_satisfied"] is True
+    assert status["frozen_sanitizer_conditions_satisfied"] is True
 
 
-def test_gate_already_met_does_not_authorize_the_product():
+def test_proposed_gate_is_not_claimed_fully_satisfied():
+    status = proposed_gate_status_on_existing_evidence()
+    assert status["proposed_gate_v2_fully_satisfied"] is False
+    assert status["lm_watermarking_unicode_sanitizer_condition"] == "UNMEASURED"
+    assert "outstanding_measurement" in status
+
+
+def test_real_sanitizer_does_not_restore_the_unwatermarked_source():
+    observations = real_world_sanitizer_observations()
+    assert observations["shipped_on_by_default"] is True
+    assert observations["restores_the_unwatermarked_source"] is False
+    assert observations["output_differs_from_source"] is True
+    assert observations["injects_spurious_visible_spaces"] is True
+    assert observations["detection_after_this_sanitizer"] == "UNMEASURED"
+
+
+def test_real_sanitizer_keeps_cgj_and_most_invisible_codepoints():
+    observations = real_world_sanitizer_observations()
+    assert observations["mix_carriers"] == ["U+034F", "U+FE00"]
+    assert observations["mix_carriers_surviving"] == ["U+034F"]
+    assert observations["invisible_codepoints_surviving"] == 366
+    assert observations["invisible_codepoints_total"] == 396
+
+
+def test_real_sanitizer_also_corrupts_ordinary_text():
+    observations = real_world_sanitizer_observations()
+    assert observations["ordinary_text_corrupted"] == 5
+    assert "persian_zwnj" in observations["ordinary_text_corrupted_sample_ids"]
+    assert "emoji_zwj_family" in observations["ordinary_text_corrupted_sample_ids"]
+    family = "\U0001f468\u200d\U0001f469\u200d\U0001f467"
+    assert lm_watermarking_unicode_sanitizer(family) != family
+
+
+def test_real_sanitizer_is_required_by_the_proposal():
+    proposal = load_threat_model_audit()["proposed_gate_v2"]
+    assert "lm_watermarking_unicode_sanitizer" in proposal["required_sanitizers"]
+    assert proposal["added_since_first_draft"] == ["lm_watermarking_unicode_sanitizer"]
+
+
+def test_gate_findings_do_not_authorize_the_product():
     disk = load_threat_model_audit()
-    assert disk["proposed_gate_status_on_existing_evidence"]["proposed_gate_v2_already_satisfied"] is True
+    assert disk["proposed_gate_status_on_existing_evidence"]["frozen_sanitizer_conditions_satisfied"] is True
     assert disk["product_authorized"] is False
     assert disk["mix_sanitizer_gate"] == "FAIL"
     assert disk["proposed_gate_v2"]["status"] == "proposal_only_not_active"

From fc3d64743ffaa441973ddcbf115c36049acd734e Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 04:57:44 +0000
Subject: [PATCH 18/28] Close the outstanding H16 measurement: mix still evades
 the real sanitizer.

Ran the detector on the exploratory lane, seed 890000 with GPT-2 and 48
watermarked rows. Seed 890000 is the lane CI already runs on every PR; it is
not a confirmation corpus, and no spent seed (830000/840000/850000) or the
forbidden 950000 is touched.

  pristine, no transform                     47/48 detected
  mix, raw                                    0/48
  mix + nfkc                                  0/48
  mix + cf_strip                              0/48
  mix + lm-watermarking UnicodeSanitizer      0/48
  mix + required bundle                      47/48, restores source 96/96

Mix evades the real sanitizer exactly as well as it evades raw. The only
variant that restores detection is the required bundle, and the last column
explains why: it reconstructs the original string on every row. That is the
mechanism behind the whole H12-H15 blockage. The bundle does not defeat the
carrier, it deletes it and hands the detector back the untouched watermarked
text.

Every condition of proposed_gate_v2 now has a measurement, but this one is
exploratory rather than confirmation grade, so proposed_gate_v2_fully_satisfied
stays False and confirmation_grade is False, with tests asserting both.

product_authorized stays False, the required bundle is unchanged, the proposal
stays inactive, and mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md               |    4 +-
 evidence/h16-local/README.md                  |   29 +-
 .../h16-local/real-sanitizer-detector.json    | 3778 +++++++++++++++++
 fuckmark/cycle8/threat_model_audit.py         |   85 +-
 ...fuckmark-cycle8-threat-model-audit-v1.json |    2 +-
 tests/test_cycle8_threat_model_audit.py       |   33 +-
 tools/h16_real_sanitizer_detector.py          |  121 +
 7 files changed, 4025 insertions(+), 27 deletions(-)
 create mode 100644 evidence/h16-local/real-sanitizer-detector.json
 create mode 100644 tools/h16_real_sanitizer_detector.py

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 29848352..8284cd83 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -156,7 +156,9 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **One sanitizer is real, and it is not either stress sanitizer.** The `UnicodeSanitizer` in `jwkirchenbauer/lm-watermarking` ships on by default and runs before tokenization. It is NFC plus a fixed BMP regex plus `Cc`-strip, and its matches are replaced with a space rather than deleted. Measured here it keeps 366 of the 396 invisible code points including `U+034F`, removes `U+FE00`, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Because it is real, `proposed_gate_v2` requires it.
 
-**Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`, with no new corpus and no retuned seed: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Detection after the real sanitizer is `UNMEASURED`, so the proposed gate is **not** claimed satisfied. The remaining work is that one measurement plus a decision about which sanitizers the gate should require — not a further carrier search, which the closure result rules out.
+**Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
+
+**Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is **not** claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run — not a further carrier search, which the closure result rules out.
 
 `proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Adopting it needs an explicit product decision and a fresh confirmation run. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
 
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index e5fba40e..d8c7c3cd 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -72,7 +72,22 @@ Measured against it:
 
 Because matches are replaced with a space rather than deleted, running it on mixed text turns `I do not agree with that.` into `I͏ d o͏ n o͏t a͏g r͏e e͏ w i͏t h͏ t h͏a t͏.` — the CGJ survives, `U+FE00` becomes a space, and word boundaries move. The sanitizer does not recover the original string; it produces mangled text. It is also lossy on ordinary input, splitting `👨‍👩‍👧` into three people separated by spaces and breaking the Persian ZWNJ and the Devanagari conjunct.
 
-Because this sanitizer is real, `proposed_gate_v2` **requires** it. Whether the detector fires on its output is not measured here and is recorded as `UNMEASURED`.
+Because this sanitizer is real, `proposed_gate_v2` **requires** it.
+
+`tools/h16_real_sanitizer_detector.py` then measures whether the detector actually fires on its output, on the exploratory lane (seed 890000, GPT-2, 48 watermarked rows). Seed 890000 is the lane CI already runs on every PR; it is not a confirmation corpus, and none of the spent seeds `830000` / `840000` / `850000` or the forbidden `950000` is touched.
+
+| variant applied to mixed text | watermarked detected | rows where the source is restored |
+| --- | --- | --- |
+| pristine, no transform | 47/48 | — |
+| mix, raw | 0/48 | 0/96 |
+| mix + nfkc | 0/48 | 0/96 |
+| mix + cf_strip | 0/48 | 0/96 |
+| **mix + lm-watermarking UnicodeSanitizer** | **0/48** | 0/96 |
+| mix + required bundle | 47/48 | **96/96** |
+
+Mix evades the real sanitizer exactly as well as it evades raw. The one variant that restores detection is the required bundle, and the last column says why: it reconstructs the original string on every single row. That is the mechanism behind the whole H12-H15 blockage — the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text.
+
+This is an exploratory measurement, not a confirmation run, and it is labelled `exploratory_only_not_confirmation` with `confirmation_grade: false`.
 
 ## 3. The stress sanitizers are not deployable
 
@@ -117,9 +132,9 @@ Reading the already-recorded frozen confirmation evidence against `proposed_gate
 | detected after `nfc` / `nfkc` / `cf_strip` / `nfkc_cf_strip` / `ws_collapse` / `ws_collapse_nfkc_cf_strip` | 0 each |
 | frozen sanitizer fixture survival | 21/21 |
 
-One condition is **not** satisfied and is recorded as `UNMEASURED`: detection after the lm-watermarking `UnicodeSanitizer`. That sanitizer removes `U+FE00`, keeps `U+034F`, and injects spaces, so mix reaches the detector in a materially different form than under the frozen sanitizers. Answering it needs a detector run, which this record does not perform.
+The remaining condition, detection after the lm-watermarking `UnicodeSanitizer`, is met too: 0 of 48 on the exploratory lane, against 47 of 48 pristine.
 
-So `proposed_gate_v2` is **not** claimed to be satisfied. What the evidence does show is that the remaining work is one measurement plus a decision about which sanitizers the gate should require — not a further carrier search, which the closure result rules out entirely.
+So every condition of `proposed_gate_v2` now has a measurement behind it. It is still **not** claimed satisfied: the real-sanitizer condition rests on an exploratory run rather than a confirmation one, so `proposed_gate_v2_fully_satisfied` is `false` and `confirmation_grade` is `false`. What remains is a product decision plus a confirmation-grade run — not a further carrier search, which the closure result rules out entirely.
 
 ## What this does not do
 
@@ -139,4 +154,12 @@ python tools/h16_tokenizer_threat_model.py
 python tools/h16_sanitizer_deployability.py
 ```
 
+The detector measurement additionally needs the SynthID runtime:
+
+```text
+python -m pip install "torch==2.13.0" --index-url https://download.pytorch.org/whl/cpu
+python -m pip install -r requirements-smoke.txt
+python tools/h16_real_sanitizer_detector.py --pair-count 48
+```
+
 Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
diff --git a/evidence/h16-local/real-sanitizer-detector.json b/evidence/h16-local/real-sanitizer-detector.json
new file mode 100644
index 00000000..346326c5
--- /dev/null
+++ b/evidence/h16-local/real-sanitizer-detector.json
@@ -0,0 +1,3778 @@
+{
+  "algorithm_version": "cycle8-h16-real-sanitizer-exploratory-v1",
+  "role": "exploratory_only_not_confirmation",
+  "seed_base": 890000,
+  "pair_count": 48,
+  "threshold": 0.5570987654320988,
+  "variants": [
+    "raw",
+    "nfkc",
+    "cf_strip",
+    "lm_watermarking_unicode_sanitizer",
+    "required_bundle"
+  ],
+  "summary": {
+    "watermarked_rows": 48,
+    "unwatermarked_rows": 48,
+    "pristine_watermarked_detected": 47,
+    "pristine_unwatermarked_detected": 2,
+    "raw_watermarked_detected": 0,
+    "raw_restores_source": 0,
+    "nfkc_watermarked_detected": 0,
+    "nfkc_restores_source": 0,
+    "cf_strip_watermarked_detected": 0,
+    "cf_strip_restores_source": 0,
+    "lm_watermarking_unicode_sanitizer_watermarked_detected": 0,
+    "lm_watermarking_unicode_sanitizer_restores_source": 0,
+    "required_bundle_watermarked_detected": 47,
+    "required_bundle_restores_source": 96
+  },
+  "rows": [
+    {
+      "sample_id": "cycle8-890000-00-general_explanatory-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "general_explanatory",
+      "pristine_score": 0.5291245791245791,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.4841709780734171,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "1c5ef4728227779c3e41f19a4f03925398b8b7aaae68e5bee495c9996bedb228"
+        },
+        "nfkc": {
+          "score": 0.4841709780734171,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "1c5ef4728227779c3e41f19a4f03925398b8b7aaae68e5bee495c9996bedb228"
+        },
+        "cf_strip": {
+          "score": 0.4841709780734171,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "1c5ef4728227779c3e41f19a4f03925398b8b7aaae68e5bee495c9996bedb228"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5025424311138597,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "9a223acb049d428025a13e4c166de755fa1ca87721d8e6ea5a0caac41d510a87"
+        },
+        "required_bundle": {
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+          "detected": false,
+          "restores_source": true,
+          "text_hash": "b864dcf507146625da4b5113b24ab0eecd87ec5be11f8c89105d5781b51def0a"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-00-general_explanatory-watermarked",
+      "label": "watermarked",
+      "domain": "general_explanatory",
+      "pristine_score": 0.6411195286195286,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.4878523800092428,
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+          "restores_source": false,
+          "text_hash": "9e1ecc1935c805457fc06ea6d5266b34779a767c4dffc699cd3c9688c90e66cf"
+        },
+        "nfkc": {
+          "score": 0.4878523800092428,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "9e1ecc1935c805457fc06ea6d5266b34779a767c4dffc699cd3c9688c90e66cf"
+        },
+        "cf_strip": {
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+          "detected": false,
+          "restores_source": false,
+          "text_hash": "9e1ecc1935c805457fc06ea6d5266b34779a767c4dffc699cd3c9688c90e66cf"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5027102232516245,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "41ac61023065232786ea27fcedbbd0681ffe6665edcf83acfa8b62dd895c2e62"
+        },
+        "required_bundle": {
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+          "detected": true,
+          "restores_source": true,
+          "text_hash": "b55aa3f2449c498a8f002befdfa10682efe58f553f255042ef4e26865c920ecc"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-01-technical_explanation-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "technical_explanation",
+      "pristine_score": 0.5172558922558922,
+      "pristine_detected": false,
+      "variants": {
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+          "score": 0.49974264942417806,
+          "detected": false,
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+          "text_hash": "ab853922a4f15ea78d5595aec3a0eabb57c311ee2f1568f7ee9f20dd49b6344e"
+        },
+        "nfkc": {
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+          "detected": false,
+          "restores_source": false,
+          "text_hash": "ab853922a4f15ea78d5595aec3a0eabb57c311ee2f1568f7ee9f20dd49b6344e"
+        },
+        "cf_strip": {
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+          "detected": false,
+          "restores_source": false,
+          "text_hash": "ab853922a4f15ea78d5595aec3a0eabb57c311ee2f1568f7ee9f20dd49b6344e"
+        },
+        "lm_watermarking_unicode_sanitizer": {
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+          "detected": false,
+          "restores_source": false,
+          "text_hash": "cad71ba239bd3fe2e20367216fe5be2331f6ec3ab7c4f1f5ebde1bca3a24f810"
+        },
+        "required_bundle": {
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+          "restores_source": true,
+          "text_hash": "3e4a27852505b20846c919f091541050fad3882097e58a254d88a7892856893d"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-01-technical_explanation-watermarked",
+      "label": "watermarked",
+      "domain": "technical_explanation",
+      "pristine_score": 0.5160123966942148,
+      "pristine_detected": false,
+      "variants": {
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+        },
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+          "text_hash": "d6f8088be273e02c3ae7e74dde02b78d958a122f80f8d718c16a2ac1d86907df"
+        },
+        "cf_strip": {
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+          "text_hash": "d6f8088be273e02c3ae7e74dde02b78d958a122f80f8d718c16a2ac1d86907df"
+        },
+        "lm_watermarking_unicode_sanitizer": {
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+          "restores_source": false,
+          "text_hash": "7bb8229771c323a17ab7f300e648a62896602d72abec738bb93f2691d0930ee6"
+        },
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+          "restores_source": true,
+          "text_hash": "4d1056fa48a7be2995ccb52e93b844159adf3b622d3af4700a489f89840f2fa5"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-02-conversational_prose-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "conversational_prose",
+      "pristine_score": 0.4983585858585859,
+      "pristine_detected": false,
+      "variants": {
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+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-02-conversational_prose-watermarked",
+      "label": "watermarked",
+      "domain": "conversational_prose",
+      "pristine_score": 0.647053872053872,
+      "pristine_detected": true,
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+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-03-structured_instructional-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.5450487012987012,
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+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-03-structured_instructional-watermarked",
+      "label": "watermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.5882575757575758,
+      "pristine_detected": true,
+      "variants": {
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+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-04-general_explanatory-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "general_explanatory",
+      "pristine_score": 0.4805976430976431,
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+      "variants": {
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+          "restores_source": true,
+          "text_hash": "f36a6399461ae862a90d9cdef4bb3641b0cb96ebe8a694c47bbc292511197e19"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-43-structured_instructional-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.4922530388632083,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.49252712308267865,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "aea305f19b5847def38a1fa247b0448798dadf4069e96ef6522a11e856be797d"
+        },
+        "nfkc": {
+          "score": 0.49252712308267865,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "aea305f19b5847def38a1fa247b0448798dadf4069e96ef6522a11e856be797d"
+        },
+        "cf_strip": {
+          "score": 0.49252712308267865,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "aea305f19b5847def38a1fa247b0448798dadf4069e96ef6522a11e856be797d"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.4931083745824782,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "c71429486a18fae88c932509c278e64b446698e3e1a61b48f13227fd345c77be"
+        },
+        "required_bundle": {
+          "score": 0.4922530388632083,
+          "detected": false,
+          "restores_source": true,
+          "text_hash": "2cde25944450f15671dd315252567d0a994d46fcf3dbf22217c48ebd02e5fada"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-43-structured_instructional-watermarked",
+      "label": "watermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.6543771043771044,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.49183953630262356,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "7dcc4ff3228efbc737d96101dd5562da538815500b94da513c05b4841192c85c"
+        },
+        "nfkc": {
+          "score": 0.49183953630262356,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "7dcc4ff3228efbc737d96101dd5562da538815500b94da513c05b4841192c85c"
+        },
+        "cf_strip": {
+          "score": 0.49183953630262356,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "7dcc4ff3228efbc737d96101dd5562da538815500b94da513c05b4841192c85c"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5259920073004185,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "2509df23addb32a0d0dd105d51c67cad946a2eb04cd4fa5a92f513b54c46abe2"
+        },
+        "required_bundle": {
+          "score": 0.6543771043771044,
+          "detected": true,
+          "restores_source": true,
+          "text_hash": "35dbd8d5b023926088cae0e13b8521d6e479da82ce714a4a58cd053a555c5302"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-44-general_explanatory-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "general_explanatory",
+      "pristine_score": 0.5235840548340548,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.49263153927333025,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "2723ea5eef9ae4948ab1605ce098b41537c63cf2336b5e8bd0ae43be70842583"
+        },
+        "nfkc": {
+          "score": 0.49263153927333025,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "2723ea5eef9ae4948ab1605ce098b41537c63cf2336b5e8bd0ae43be70842583"
+        },
+        "cf_strip": {
+          "score": 0.49263153927333025,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "2723ea5eef9ae4948ab1605ce098b41537c63cf2336b5e8bd0ae43be70842583"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.4998126137702109,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "98d40bd73ceaa51dd0fc2c6fbe20c615d25bd899df00ecea5c8e04bf487853ea"
+        },
+        "required_bundle": {
+          "score": 0.5235840548340548,
+          "detected": false,
+          "restores_source": true,
+          "text_hash": "d7eb6f20165dd1633daf2898d4d66a09e347a4599c57c43d6d06ea7e00ba6a79"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-44-general_explanatory-watermarked",
+      "label": "watermarked",
+      "domain": "general_explanatory",
+      "pristine_score": 0.5750643691820162,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.49072423582227503,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "c9a85dca04d84dc31a58a3ee50963e8b0c9263d38883c5ffbaeecfc56ea8afa9"
+        },
+        "nfkc": {
+          "score": 0.49072423582227503,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "c9a85dca04d84dc31a58a3ee50963e8b0c9263d38883c5ffbaeecfc56ea8afa9"
+        },
+        "cf_strip": {
+          "score": 0.49072423582227503,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "c9a85dca04d84dc31a58a3ee50963e8b0c9263d38883c5ffbaeecfc56ea8afa9"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.524340852615613,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "6c26f2dd02a66c676679cf4e39c4e3e9840c6e6d6612de729fabb92ab9c604bc"
+        },
+        "required_bundle": {
+          "score": 0.5750643691820162,
+          "detected": true,
+          "restores_source": true,
+          "text_hash": "cc0604ba4f08d7fa2961e9d54732d29553e6f2888e2a29d9e223493d3521ff00"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-45-technical_explanation-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "technical_explanation",
+      "pristine_score": 0.5466329966329967,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.486320863356694,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "b223165b7a194535799d044b7165dcf4d8f9860c40cd72d94ff337d3a06b0208"
+        },
+        "nfkc": {
+          "score": 0.486320863356694,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "b223165b7a194535799d044b7165dcf4d8f9860c40cd72d94ff337d3a06b0208"
+        },
+        "cf_strip": {
+          "score": 0.486320863356694,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "b223165b7a194535799d044b7165dcf4d8f9860c40cd72d94ff337d3a06b0208"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.49912468240689095,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "e1d5291fbc8c658e030cd32371e9edbc84a5edeb500548fba7bb68942a6fba7d"
+        },
+        "required_bundle": {
+          "score": 0.5466329966329967,
+          "detected": false,
+          "restores_source": true,
+          "text_hash": "577cf475c50a867f5282dbe38e0279eba3af0e2dfedf1be3b89d7e52c3502dec"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-45-technical_explanation-watermarked",
+      "label": "watermarked",
+      "domain": "technical_explanation",
+      "pristine_score": 0.6153499278499278,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.506964664437974,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "cebdb5e2578a50d5316c897233b1f33d4c6ebcd548fd3e7fa05e2dd45f394ca3"
+        },
+        "nfkc": {
+          "score": 0.506964664437974,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "cebdb5e2578a50d5316c897233b1f33d4c6ebcd548fd3e7fa05e2dd45f394ca3"
+        },
+        "cf_strip": {
+          "score": 0.506964664437974,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "cebdb5e2578a50d5316c897233b1f33d4c6ebcd548fd3e7fa05e2dd45f394ca3"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.4841934705415934,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "58997bb4f86faf4a5c08309efdeec6608aeb7ec0d7b200c55cf0369eb9e26e8a"
+        },
+        "required_bundle": {
+          "score": 0.6153499278499278,
+          "detected": true,
+          "restores_source": true,
+          "text_hash": "9bfcea4cd6012a04f66354210a6e3f6b1ae1175fd1fe2f8b7ebdc0ef31e9f24d"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-46-conversational_prose-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "conversational_prose",
+      "pristine_score": 0.5103535353535353,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.5007239057239057,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "673d2120879da96168090dc686bfc24f62e20b36faec179ca6884836b19d55f0"
+        },
+        "nfkc": {
+          "score": 0.5007239057239057,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "673d2120879da96168090dc686bfc24f62e20b36faec179ca6884836b19d55f0"
+        },
+        "cf_strip": {
+          "score": 0.5007239057239057,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "673d2120879da96168090dc686bfc24f62e20b36faec179ca6884836b19d55f0"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.4818247196887973,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "56052ec1752bd9c25f07e06a70b1fd1d2af9609b8d3f05cbcd8ee37e0ba2b235"
+        },
+        "required_bundle": {
+          "score": 0.5103535353535353,
+          "detected": false,
+          "restores_source": true,
+          "text_hash": "54ce15f0f2bd350ecf815ec75a8310ef1ddedc51b21cfa7f8a155617391d132b"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-46-conversational_prose-watermarked",
+      "label": "watermarked",
+      "domain": "conversational_prose",
+      "pristine_score": 0.6028077384009588,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.47830494728304945,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "4272908e6044364e9ff6451e4c76888dbe3aff3724197b77af36a6e6b58553e3"
+        },
+        "nfkc": {
+          "score": 0.47830494728304945,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "4272908e6044364e9ff6451e4c76888dbe3aff3724197b77af36a6e6b58553e3"
+        },
+        "cf_strip": {
+          "score": 0.47830494728304945,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "4272908e6044364e9ff6451e4c76888dbe3aff3724197b77af36a6e6b58553e3"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5057289311020654,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "23eb44566bae3f82a6926e51e86f979e88d56aae6d7ab6b31c3ac6abde608d00"
+        },
+        "required_bundle": {
+          "score": 0.6028077384009588,
+          "detected": true,
+          "restores_source": true,
+          "text_hash": "1679929e1c9e71cd3ee7ee864c79c7e4b6f51295c66707adcc6d7488287bc093"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-47-structured_instructional-unwatermarked",
+      "label": "unwatermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.5558979626776237,
+      "pristine_detected": false,
+      "variants": {
+        "raw": {
+          "score": 0.4917027417027417,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "72b8a64b0a692d670864ce2167c00ce59afd15879b0d36e79fcec2dc8f4f8754"
+        },
+        "nfkc": {
+          "score": 0.4917027417027417,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "72b8a64b0a692d670864ce2167c00ce59afd15879b0d36e79fcec2dc8f4f8754"
+        },
+        "cf_strip": {
+          "score": 0.4917027417027417,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "72b8a64b0a692d670864ce2167c00ce59afd15879b0d36e79fcec2dc8f4f8754"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.4983444719094266,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "6db8072f96f06ce65fed9d4ecb69014f8fabe36a903175c7d84c63c564438d6e"
+        },
+        "required_bundle": {
+          "score": 0.5558979626776237,
+          "detected": false,
+          "restores_source": true,
+          "text_hash": "60c907ac0e67fb71fa49395d95497db26606cb217da6a10346bd7443ae692af5"
+        }
+      }
+    },
+    {
+      "sample_id": "cycle8-890000-47-structured_instructional-watermarked",
+      "label": "watermarked",
+      "domain": "structured_instructional",
+      "pristine_score": 0.6535669191919192,
+      "pristine_detected": true,
+      "variants": {
+        "raw": {
+          "score": 0.5013478839845399,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "8ea9eeed1187d2cf52f1d08f73e9115b3f2abc35800e7bf230fc63c15b6e0c93"
+        },
+        "nfkc": {
+          "score": 0.5013478839845399,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "8ea9eeed1187d2cf52f1d08f73e9115b3f2abc35800e7bf230fc63c15b6e0c93"
+        },
+        "cf_strip": {
+          "score": 0.5013478839845399,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "8ea9eeed1187d2cf52f1d08f73e9115b3f2abc35800e7bf230fc63c15b6e0c93"
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.50072271536918,
+          "detected": false,
+          "restores_source": false,
+          "text_hash": "7bde508ade07b70509edb583b1009019d209e4df9235f6919e2c12adfe7eb992"
+        },
+        "required_bundle": {
+          "score": 0.6535669191919192,
+          "detected": true,
+          "restores_source": true,
+          "text_hash": "4d3ba8d175626d61368c8310bfb4161411af4f29904d1183fb581401d3fb9db7"
+        }
+      }
+    }
+  ],
+  "product_authorized": false,
+  "spent_confirmation_corpora_not_reused": true
+}
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index e0334058..c6c41cf0 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -21,7 +21,7 @@
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "980f4ae6f17b7e6c2f86ed08236f63cab06e7fd1233612a7ee01cc3075472c06"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "9658d3df80de0f134a2fb37f8b9ba0f66288fe12f1572cd33f732d8000ad916d"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -92,6 +92,18 @@
     ("devanagari_zwj_conjunct", "\u0915\u094d\u200d\u0937 \u0938\u0939\u0940 \u0928\u0939\u0940\u0902 \u0939\u0948\u0964"),
 )
 
+REAL_SANITIZER_DETECTOR_ROLE = "exploratory_only_not_confirmation"
+REAL_SANITIZER_DETECTOR_SEED_BASE = 890000
+REAL_SANITIZER_DETECTOR_MODEL = "openai-community/gpt2"
+REAL_SANITIZER_DETECTOR_WATERMARKED_ROWS = 48
+REAL_SANITIZER_DETECTOR_PRISTINE_DETECTED = 47
+REAL_SANITIZER_DETECTOR_OBSERVATIONS: tuple[dict[str, object], ...] = (
+    {"variant": "raw", "watermarked_detected": 0, "restores_source": 0},
+    {"variant": "nfkc", "watermarked_detected": 0, "restores_source": 0},
+    {"variant": "cf_strip", "watermarked_detected": 0, "restores_source": 0},
+    {"variant": "lm_watermarking_unicode_sanitizer", "watermarked_detected": 0, "restores_source": 0},
+    {"variant": "required_bundle", "watermarked_detected": 47, "restores_source": 96},
+)
 TOKENIZER_OBSERVATIONS: tuple[dict[str, object], ...] = (
     {"model": "gemma-2-2b-it", "normalizer": "Replace", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
     {"model": "gemma-3-1b-it", "normalizer": "Replace", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
@@ -223,7 +235,31 @@ def real_world_sanitizer_observations() -> dict[str, object]:
         "ordinary_text_corrupted": len(corrupted),
         "ordinary_text_corpus_size": len(DEPLOYABILITY_CORPUS),
         "ordinary_text_corrupted_sample_ids": corrupted,
-        "detection_after_this_sanitizer": "UNMEASURED",
+        "detection_after_this_sanitizer": real_sanitizer_detector_observations(),
+    }
+
+
+def real_sanitizer_detector_observations() -> dict[str, object]:
+    by_variant = {row["variant"]: row for row in REAL_SANITIZER_DETECTOR_OBSERVATIONS}
+    real = by_variant["lm_watermarking_unicode_sanitizer"]
+    bundle = by_variant["required_bundle"]
+    rows = REAL_SANITIZER_DETECTOR_WATERMARKED_ROWS
+    return {
+        "role": REAL_SANITIZER_DETECTOR_ROLE,
+        "seed_base": REAL_SANITIZER_DETECTOR_SEED_BASE,
+        "model": REAL_SANITIZER_DETECTOR_MODEL,
+        "watermarked_rows": rows,
+        "pristine_watermarked_detected": REAL_SANITIZER_DETECTOR_PRISTINE_DETECTED,
+        "per_variant": [dict(row) for row in REAL_SANITIZER_DETECTOR_OBSERVATIONS],
+        "real_sanitizer_watermarked_detected": real["watermarked_detected"],
+        "required_bundle_watermarked_detected": bundle["watermarked_detected"],
+        "required_bundle_restores_source_rows": bundle["restores_source"],
+        "reading": (
+            "Mix evades at 0 of 48 after the real sanitizer, the same as raw. The required "
+            "bundle is the only variant that restores detection, and it does so only because "
+            "it reconstructs the original string on every row."
+        ),
+        "confirmation_grade": False,
     }
 
 
@@ -267,13 +303,15 @@ def proposed_gate_status_on_existing_evidence() -> dict[str, object]:
             and scorecard["visibility"]["watermarked_pass_rate"] == "192/192"
             and measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
         ),
-        "lm_watermarking_unicode_sanitizer_condition": "UNMEASURED",
+        "lm_watermarking_unicode_sanitizer_condition": "0/48 watermarked detected, exploratory",
+        "all_conditions_measured": True,
+        "confirmation_grade": False,
         "proposed_gate_v2_fully_satisfied": False,
-        "outstanding_measurement": (
-            "detection after the lm-watermarking UnicodeSanitizer, which removes U+FE00, keeps "
-            "U+034F, and injects spurious spaces; it does not restore the unwatermarked source"
+        "why_not_fully_satisfied": (
+            "the real-sanitizer condition is met on the exploratory lane only; a confirmation "
+            "run on an unspent corpus remains the product-authorization standard"
         ),
-        "adoption_still_blocked_on": "explicit product decision plus the outstanding measurement",
+        "adoption_still_blocked_on": "explicit product decision plus a confirmation-grade run",
     }
 
 
@@ -431,14 +469,18 @@ def threat_model_audit_payload() -> dict[str, object]:
             "UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 "
             "of the 396 invisible code points including U+034F, removes U+FE00, injects spurious "
             "spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked "
-            "source. Read against the already recorded frozen confirmation evidence, and without "
-            "running any new corpus, the frozen conditions of the proposed gate are already met: "
-            "identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still "
-            "detects 0, and visible text passes 192 of 192. Detection after the real sanitizer is "
-            "the one condition still unmeasured, so the proposed gate is not yet fully satisfied. "
-            "The correct next step is a product decision on the gate plus that single measurement, "
-            "not a further carrier search. This record makes neither: the required bundle is "
-            "unchanged, the proposal stays inactive, and mix stays FAIL."
+            "source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 "
+            "watermarked rows against 47 of 48 pristine, exactly as under raw. The one variant "
+            "that restores detection is the required bundle itself, at 47 of 48, and it does so "
+            "only because it reconstructs the original string on all 96 rows. Read against the "
+            "already recorded frozen confirmation evidence, the frozen conditions of the proposed "
+            "gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen "
+            "sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the "
+            "proposed gate now has a measurement, but the real-sanitizer one is exploratory, so "
+            "the gate is not claimed satisfied at confirmation grade. What remains is a product "
+            "decision plus a confirmation run, not a further carrier search. This record makes "
+            "neither: the required bundle is unchanged, the proposal stays inactive, and mix "
+            "stays FAIL."
         ),
     }
     return {**payload, "audit_hash": sha256_json(payload)}
@@ -493,13 +535,18 @@ def assert_threat_model_audit_committed() -> None:
         raise ValueError("the proposed gate reading must not consume a fresh corpus")
     if status["proposed_gate_v2_fully_satisfied"] is not False:
         raise ValueError("the proposed gate must not be reported as fully satisfied")
-    if status["lm_watermarking_unicode_sanitizer_condition"] != "UNMEASURED":
-        raise ValueError("detection after the real sanitizer must stay honestly unmeasured")
+    if status["confirmation_grade"] is not False:
+        raise ValueError("an exploratory measurement must not be labelled confirmation grade")
     real = disk["real_world_sanitizer"]
     if real["restores_the_unwatermarked_source"] is not False:
         raise ValueError("the real sanitizer measurement must record whether the source is restored")
-    if real["detection_after_this_sanitizer"] != "UNMEASURED":
-        raise ValueError("detection after the real sanitizer must stay honestly unmeasured")
+    detector = real["detection_after_this_sanitizer"]
+    if detector["role"] != "exploratory_only_not_confirmation":
+        raise ValueError("the detector measurement must stay exploratory")
+    if detector["seed_base"] in (830000, 840000, 850000, 950000):
+        raise ValueError("the detector measurement must not use a spent or forbidden seed")
+    if detector["confirmation_grade"] is not False:
+        raise ValueError("an exploratory detector run must not be labelled confirmation grade")
     live = threat_model_audit_payload()
     if live != disk:
         raise ValueError("threat model audit spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index 20fd0b90..c2976c35 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"980f4ae6f17b7e6c2f86ed08236f63cab06e7fd1233612a7ee01cc3075472c06","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Read against the already recorded frozen confirmation evidence, and without running any new corpus, the frozen conditions of the proposed gate are already met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Detection after the real sanitizer is the one condition still unmeasured, so the proposed gate is not yet fully satisfied. The correct next step is a product decision on the gate plus that single measurement, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus the outstanding measurement","detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"UNMEASURED","outstanding_measurement":"detection after the lm-watermarking UnicodeSanitizer, which removes U+FE00, keeps U+034F, and injects spurious spaces; it does not restore the unwatermarked source","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":"UNMEASURED","injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"9658d3df80de0f134a2fb37f8b9ba0f66288fe12f1572cd33f732d8000ad916d","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is not claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"model":"openai-community/gpt2","per_variant":[{"restores_source":0,"variant":"raw","watermarked_detected":0},{"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index d5c60e8a..ab1a23df 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -21,6 +21,7 @@
     lm_watermarking_unicode_sanitizer,
     load_threat_model_audit,
     proposed_gate_status_on_existing_evidence,
+    real_sanitizer_detector_observations,
     real_world_sanitizer_observations,
     render_identical_ascii_substitutes,
     sanitizer_deployability_damage,
@@ -174,8 +175,34 @@ def test_frozen_gate_conditions_are_met_by_existing_evidence():
 def test_proposed_gate_is_not_claimed_fully_satisfied():
     status = proposed_gate_status_on_existing_evidence()
     assert status["proposed_gate_v2_fully_satisfied"] is False
-    assert status["lm_watermarking_unicode_sanitizer_condition"] == "UNMEASURED"
-    assert "outstanding_measurement" in status
+    assert status["all_conditions_measured"] is True
+    assert status["confirmation_grade"] is False
+    assert "why_not_fully_satisfied" in status
+
+
+def test_mix_still_evades_the_real_sanitizer():
+    detector = real_sanitizer_detector_observations()
+    assert detector["watermarked_rows"] == 48
+    assert detector["pristine_watermarked_detected"] == 47
+    assert detector["real_sanitizer_watermarked_detected"] == 0
+
+
+def test_required_bundle_defeats_mix_only_by_restoring_the_source():
+    detector = real_sanitizer_detector_observations()
+    assert detector["required_bundle_watermarked_detected"] == 47
+    assert detector["required_bundle_restores_source_rows"] == 96
+    by_variant = {row["variant"]: row for row in detector["per_variant"]}
+    for variant in ("raw", "nfkc", "cf_strip", "lm_watermarking_unicode_sanitizer"):
+        assert by_variant[variant]["watermarked_detected"] == 0
+        assert by_variant[variant]["restores_source"] == 0
+
+
+def test_detector_measurement_is_exploratory_and_uses_no_spent_seed():
+    detector = real_sanitizer_detector_observations()
+    assert detector["role"] == "exploratory_only_not_confirmation"
+    assert detector["confirmation_grade"] is False
+    assert detector["seed_base"] == 890000
+    assert detector["seed_base"] not in (830000, 840000, 850000, 950000)
 
 
 def test_real_sanitizer_does_not_restore_the_unwatermarked_source():
@@ -184,7 +211,7 @@ def test_real_sanitizer_does_not_restore_the_unwatermarked_source():
     assert observations["restores_the_unwatermarked_source"] is False
     assert observations["output_differs_from_source"] is True
     assert observations["injects_spurious_visible_spaces"] is True
-    assert observations["detection_after_this_sanitizer"] == "UNMEASURED"
+    assert observations["detection_after_this_sanitizer"]["real_sanitizer_watermarked_detected"] == 0
 
 
 def test_real_sanitizer_keeps_cgj_and_most_invisible_codepoints():
diff --git a/tools/h16_real_sanitizer_detector.py b/tools/h16_real_sanitizer_detector.py
new file mode 100644
index 00000000..87db0d8d
--- /dev/null
+++ b/tools/h16_real_sanitizer_detector.py
@@ -0,0 +1,121 @@
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from fuckmark.cycle8.control_carrier import apply_required_sanitizer_bundle
+from fuckmark.cycle8.ledger import CYCLE8_EXPLORATORY_SEED_BASE
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+from fuckmark.cycle8.threat_model_audit import lm_watermarking_unicode_sanitizer
+from fuckmark.corpus.schema import WatermarkLabel
+from fuckmark.experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from fuckmark.hashing import sha256_text
+from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters
+
+H16_EXPLORATORY_VERSION = "cycle8-h16-real-sanitizer-exploratory-v1"
+
+VARIANTS = (
+    ("raw", lambda text: text),
+    ("nfkc", nfkc_normalize),
+    ("cf_strip", strip_unicode_format_characters),
+    ("lm_watermarking_unicode_sanitizer", lm_watermarking_unicode_sanitizer),
+    ("required_bundle", apply_required_sanitizer_bundle),
+)
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(prog="h16-real-sanitizer-detector")
+    parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu")
+    parser.add_argument("--seed-base", type=int, default=CYCLE8_EXPLORATORY_SEED_BASE)
+    parser.add_argument("--pair-count", type=int, default=4)
+    parser.add_argument("--max-attempts", type=int, default=64)
+    parser.add_argument("--out", type=Path, default=Path("evidence/h16-local/real-sanitizer-detector.json"))
+    arguments = parser.parse_args()
+
+    from fuckmark.cycle7_stage_a_hf import _adapter_and_tokenizer, _score_text
+    from fuckmark.cycle8_hf import _generate_cycle8_samples
+
+    backend, tokenizer, adapter, _identity_hash, eos = _adapter_and_tokenizer(arguments.device)
+    samples = _generate_cycle8_samples(
+        backend,
+        arguments.seed_base,
+        arguments.max_attempts,
+        pair_count=arguments.pair_count,
+    )
+
+    rows = []
+    for sample in samples:
+        source = str(sample["text"])
+        mixed = apply_letter_alternating_mix(source)
+        pristine = _score_text(f"{sample['sample_id']}-pristine", source, tokenizer, adapter, eos)
+        variants = {}
+        for variant_id, function in VARIANTS:
+            cleaned = function(mixed)
+            score = _score_text(
+                f"{sample['sample_id']}-mix-{variant_id}", cleaned, tokenizer, adapter, eos
+            )
+            variants[variant_id] = {
+                "score": score,
+                "detected": score >= CYCLE6_THRESHOLD,
+                "restores_source": cleaned == source,
+                "text_hash": sha256_text(cleaned),
+            }
+        rows.append(
+            {
+                "sample_id": sample["sample_id"],
+                "label": sample["label"],
+                "domain": sample["domain"],
+                "pristine_score": pristine,
+                "pristine_detected": pristine >= CYCLE6_THRESHOLD,
+                "variants": variants,
+            }
+        )
+
+    watermarked = [row for row in rows if row["label"] == WatermarkLabel.WATERMARKED.value]
+    unwatermarked = [row for row in rows if row["label"] == WatermarkLabel.UNWATERMARKED.value]
+    summary = {
+        "watermarked_rows": len(watermarked),
+        "unwatermarked_rows": len(unwatermarked),
+        "pristine_watermarked_detected": sum(bool(row["pristine_detected"]) for row in watermarked),
+        "pristine_unwatermarked_detected": sum(bool(row["pristine_detected"]) for row in unwatermarked),
+    }
+    for variant_id, _ in VARIANTS:
+        summary[f"{variant_id}_watermarked_detected"] = sum(
+            bool(row["variants"][variant_id]["detected"]) for row in watermarked
+        )
+        summary[f"{variant_id}_restores_source"] = sum(
+            bool(row["variants"][variant_id]["restores_source"]) for row in rows
+        )
+
+    payload = {
+        "algorithm_version": H16_EXPLORATORY_VERSION,
+        "role": "exploratory_only_not_confirmation",
+        "seed_base": arguments.seed_base,
+        "pair_count": arguments.pair_count,
+        "threshold": CYCLE6_THRESHOLD,
+        "variants": [variant_id for variant_id, _ in VARIANTS],
+        "summary": summary,
+        "rows": rows,
+        "product_authorized": False,
+        "spent_confirmation_corpora_not_reused": True,
+    }
+    arguments.out.parent.mkdir(parents=True, exist_ok=True)
+    arguments.out.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+
+    print(f"threshold {CYCLE6_THRESHOLD}")
+    print(f"watermarked rows {summary['watermarked_rows']}, unwatermarked rows {summary['unwatermarked_rows']}")
+    print(f"pristine watermarked detected {summary['pristine_watermarked_detected']}/{summary['watermarked_rows']}")
+    for variant_id, _ in VARIANTS:
+        detected = summary[f"{variant_id}_watermarked_detected"]
+        restores = summary[f"{variant_id}_restores_source"]
+        print(
+            f"  mix + {variant_id:36} watermarked detected "
+            f"{detected}/{summary['watermarked_rows']}  restores source {restores}/{len(rows)}"
+        )
+    print("wrote", arguments.out)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From c490d7e3b6499202ac744bfd1ebfeac222d66821 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 05:08:53 +0000
Subject: [PATCH 19/28] Add the carrier-free control that attributes the
 evasion to the carrier.

The lm-watermarking UnicodeSanitizer collapses space runs and strips Cc, so it
damages ordinary text on its own. A bare 0/48 after it was therefore ambiguous:
the sanitizer could have been suppressing detection rather than mix evading it.

Re-ran the exploratory measurement with each variant also applied to the
carrier-free watermarked source:

  variant                                 with mix   no mix   restores src
  raw                                         0/48    47/48           0/96
  nfkc                                        0/48    47/48           0/96
  cf_strip                                    0/48    47/48           0/96
  lm-watermarking UnicodeSanitizer            0/48    46/48           0/96
  required bundle                            47/48    47/48          96/96

The real sanitizer costs one row of detection power by itself, so the drop to
zero is attributable to the carrier and not to the sanitizer mangling the text.

Adds a test asserting the control holds and a payload guard rejecting the
record if the carrier-free control ever falls below half the rows, so this
confound cannot silently reappear.

Still exploratory, still not confirmation grade, still no product
authorization, and mix sanitizer stays FAIL.

Co-authored-by: Byte271 
---
 docs/cycle8/carrier-research.md               |    2 +-
 evidence/h16-local/README.md                  |   24 +-
 .../h16-local/real-sanitizer-detector.json    | 2666 ++++++++++++++++-
 fuckmark/cycle8/threat_model_audit.py         |   37 +-
 ...fuckmark-cycle8-threat-model-audit-v1.json |    2 +-
 tests/test_cycle8_threat_model_audit.py       |    9 +
 tools/h16_real_sanitizer_detector.py          |   25 +-
 7 files changed, 2709 insertions(+), 56 deletions(-)

diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 8284cd83..501a2893 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -156,7 +156,7 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **One sanitizer is real, and it is not either stress sanitizer.** The `UnicodeSanitizer` in `jwkirchenbauer/lm-watermarking` ships on by default and runs before tokenization. It is NFC plus a fixed BMP regex plus `Cc`-strip, and its matches are replaced with a space rather than deleted. Measured here it keeps 366 of the 396 invisible code points including `U+034F`, removes `U+FE00`, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Because it is real, `proposed_gate_v2` requires it.
 
-**Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
+**Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. That sanitizer collapses space runs and strips `Cc`, so it could have suppressed detection by itself; the carrier-free control rules that out, detecting 46/48. It costs one row of detection power on its own, so the drop to zero belongs to the carrier. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
 
 **Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is **not** claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run — not a further carrier search, which the closure result rules out.
 
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index d8c7c3cd..a4c233cc 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -76,16 +76,20 @@ Because this sanitizer is real, `proposed_gate_v2` **requires** it.
 
 `tools/h16_real_sanitizer_detector.py` then measures whether the detector actually fires on its output, on the exploratory lane (seed 890000, GPT-2, 48 watermarked rows). Seed 890000 is the lane CI already runs on every PR; it is not a confirmation corpus, and none of the spent seeds `830000` / `840000` / `850000` or the forbidden `950000` is touched.
 
-| variant applied to mixed text | watermarked detected | rows where the source is restored |
-| --- | --- | --- |
-| pristine, no transform | 47/48 | — |
-| mix, raw | 0/48 | 0/96 |
-| mix + nfkc | 0/48 | 0/96 |
-| mix + cf_strip | 0/48 | 0/96 |
-| **mix + lm-watermarking UnicodeSanitizer** | **0/48** | 0/96 |
-| mix + required bundle | 47/48 | **96/96** |
-
-Mix evades the real sanitizer exactly as well as it evades raw. The one variant that restores detection is the required bundle, and the last column says why: it reconstructs the original string on every single row. That is the mechanism behind the whole H12-H15 blockage — the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text.
+| variant | detected, with mix | detected, no mix | rows where the source is restored |
+| --- | --- | --- | --- |
+| pristine, no transform | 47/48 | — | — |
+| raw | 0/48 | 47/48 | 0/96 |
+| nfkc | 0/48 | 47/48 | 0/96 |
+| cf_strip | 0/48 | 47/48 | 0/96 |
+| **lm-watermarking UnicodeSanitizer** | **0/48** | 46/48 | 0/96 |
+| required bundle | 47/48 | 47/48 | **96/96** |
+
+Mix evades the real sanitizer exactly as well as it evades raw.
+
+The third column is a control, and it matters. This sanitizer collapses space runs and strips `Cc`, so it damages ordinary text on its own, and a 0/48 could have meant the sanitizer was suppressing detection rather than mix evading it. Applied to carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline. It costs one row of detection power by itself, so the drop to zero is attributable to the carrier.
+
+The fourth column explains the one variant that does restore detection. The required bundle reconstructs the original string on every single row. That is the mechanism behind the whole H12-H15 blockage — the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text.
 
 This is an exploratory measurement, not a confirmation run, and it is labelled `exploratory_only_not_confirmation` with `confirmation_grade: false`.
 
diff --git a/evidence/h16-local/real-sanitizer-detector.json b/evidence/h16-local/real-sanitizer-detector.json
index 346326c5..c6e256d1 100644
--- a/evidence/h16-local/real-sanitizer-detector.json
+++ b/evidence/h16-local/real-sanitizer-detector.json
@@ -18,14 +18,24 @@
     "pristine_unwatermarked_detected": 2,
     "raw_watermarked_detected": 0,
     "raw_restores_source": 0,
+    "raw_carrier_free_watermarked_detected": 47,
+    "raw_carrier_free_changes_source": 0,
     "nfkc_watermarked_detected": 0,
     "nfkc_restores_source": 0,
+    "nfkc_carrier_free_watermarked_detected": 47,
+    "nfkc_carrier_free_changes_source": 0,
     "cf_strip_watermarked_detected": 0,
     "cf_strip_restores_source": 0,
+    "cf_strip_carrier_free_watermarked_detected": 47,
+    "cf_strip_carrier_free_changes_source": 0,
     "lm_watermarking_unicode_sanitizer_watermarked_detected": 0,
     "lm_watermarking_unicode_sanitizer_restores_source": 0,
+    "lm_watermarking_unicode_sanitizer_carrier_free_watermarked_detected": 46,
+    "lm_watermarking_unicode_sanitizer_carrier_free_changes_source": 88,
     "required_bundle_watermarked_detected": 47,
-    "required_bundle_restores_source": 96
+    "required_bundle_restores_source": 96,
+    "required_bundle_carrier_free_watermarked_detected": 47,
+    "required_bundle_carrier_free_changes_source": 0
   },
   "rows": [
     {
@@ -65,6 +75,33 @@
           "restores_source": true,
           "text_hash": "b864dcf507146625da4b5113b24ab0eecd87ec5be11f8c89105d5781b51def0a"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5291245791245791,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5291245791245791,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5291245791245791,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5227723665223666,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5291245791245791,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -104,6 +141,33 @@
           "restores_source": true,
           "text_hash": "b55aa3f2449c498a8f002befdfa10682efe58f553f255042ef4e26865c920ecc"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.6411195286195286,
+          "detected": true,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.6411195286195286,
+          "detected": true,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.6411195286195286,
+          "detected": true,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.6197691197691197,
+          "detected": true,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.6411195286195286,
+          "detected": true,
+          "changes_source": false
+        }
       }
     },
     {
@@ -143,6 +207,33 @@
           "restores_source": true,
           "text_hash": "3e4a27852505b20846c919f091541050fad3882097e58a254d88a7892856893d"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5172558922558922,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5172558922558922,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5172558922558922,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5236415882967607,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5172558922558922,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -182,6 +273,33 @@
           "restores_source": true,
           "text_hash": "4d1056fa48a7be2995ccb52e93b844159adf3b622d3af4700a489f89840f2fa5"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5160123966942148,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5160123966942148,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5160123966942148,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.48208273208273206,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5160123966942148,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -221,6 +339,33 @@
           "restores_source": true,
           "text_hash": "9437a0e41728f7b61fd04921765110a9f46a1d30dbac79cdf7667752db606d4f"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.4983585858585859,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.4983585858585859,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.4983585858585859,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.49188311688311687,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.4983585858585859,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -260,6 +405,33 @@
           "restores_source": true,
           "text_hash": "2d76ca56feddb9aea9fb9b9d4157761fa4f1df2889aff5afe6b8a32380a3df97"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.647053872053872,
+          "detected": true,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.647053872053872,
+          "detected": true,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.647053872053872,
+          "detected": true,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.6364571642349419,
+          "detected": true,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.647053872053872,
+          "detected": true,
+          "changes_source": false
+        }
       }
     },
     {
@@ -299,6 +471,33 @@
           "restores_source": true,
           "text_hash": "944c3f4e2d4b01c115bf1d535ebf8b2cdb80ef9f6c2e5a6cf3aabed7455bff57"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5450487012987012,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5450487012987012,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5450487012987012,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5334467120181405,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5450487012987012,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
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@@ -377,6 +603,33 @@
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@@ -494,6 +801,33 @@
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-      "domain": "structured_instructional",
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+    {
+      "sample_id": "cycle8-890000-07-structured_instructional-unwatermarked",
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@@ -611,6 +999,33 @@
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@@ -1157,6 +1923,33 @@
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+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.6153499278499278,
+          "detected": true,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.6153499278499278,
+          "detected": true,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.6153499278499278,
+          "detected": true,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.6047979797979798,
+          "detected": true,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.6153499278499278,
+          "detected": true,
+          "changes_source": false
+        }
       }
     },
     {
@@ -3653,6 +6147,33 @@
           "restores_source": true,
           "text_hash": "54ce15f0f2bd350ecf815ec75a8310ef1ddedc51b21cfa7f8a155617391d132b"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5103535353535353,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5103535353535353,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5103535353535353,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5103715728715729,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5103535353535353,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -3692,6 +6213,33 @@
           "restores_source": true,
           "text_hash": "1679929e1c9e71cd3ee7ee864c79c7e4b6f51295c66707adcc6d7488287bc093"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.6028077384009588,
+          "detected": true,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.6028077384009588,
+          "detected": true,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.6028077384009588,
+          "detected": true,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.6006359895248784,
+          "detected": true,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.6028077384009588,
+          "detected": true,
+          "changes_source": false
+        }
       }
     },
     {
@@ -3731,6 +6279,33 @@
           "restores_source": true,
           "text_hash": "60c907ac0e67fb71fa49395d95497db26606cb217da6a10346bd7443ae692af5"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.5558979626776237,
+          "detected": false,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.5558979626776237,
+          "detected": false,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.5558979626776237,
+          "detected": false,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.5531655844155844,
+          "detected": false,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.5558979626776237,
+          "detected": false,
+          "changes_source": false
+        }
       }
     },
     {
@@ -3770,6 +6345,33 @@
           "restores_source": true,
           "text_hash": "4d3ba8d175626d61368c8310bfb4161411af4f29904d1183fb581401d3fb9db7"
         }
+      },
+      "carrier_free_controls": {
+        "raw": {
+          "score": 0.6535669191919192,
+          "detected": true,
+          "changes_source": false
+        },
+        "nfkc": {
+          "score": 0.6535669191919192,
+          "detected": true,
+          "changes_source": false
+        },
+        "cf_strip": {
+          "score": 0.6535669191919192,
+          "detected": true,
+          "changes_source": false
+        },
+        "lm_watermarking_unicode_sanitizer": {
+          "score": 0.632685551163812,
+          "detected": true,
+          "changes_source": true
+        },
+        "required_bundle": {
+          "score": 0.6535669191919192,
+          "detected": true,
+          "changes_source": false
+        }
       }
     }
   ],
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index c6c41cf0..a56c521b 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -21,7 +21,7 @@
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "9658d3df80de0f134a2fb37f8b9ba0f66288fe12f1572cd33f732d8000ad916d"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "702ee4613e8573823ecf45b0b74a0a112c9891e39a16a73f5d09023ddb4745d7"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -98,11 +98,16 @@
 REAL_SANITIZER_DETECTOR_WATERMARKED_ROWS = 48
 REAL_SANITIZER_DETECTOR_PRISTINE_DETECTED = 47
 REAL_SANITIZER_DETECTOR_OBSERVATIONS: tuple[dict[str, object], ...] = (
-    {"variant": "raw", "watermarked_detected": 0, "restores_source": 0},
-    {"variant": "nfkc", "watermarked_detected": 0, "restores_source": 0},
-    {"variant": "cf_strip", "watermarked_detected": 0, "restores_source": 0},
-    {"variant": "lm_watermarking_unicode_sanitizer", "watermarked_detected": 0, "restores_source": 0},
-    {"variant": "required_bundle", "watermarked_detected": 47, "restores_source": 96},
+    {"variant": "raw", "watermarked_detected": 0, "carrier_free_detected": 47, "restores_source": 0},
+    {"variant": "nfkc", "watermarked_detected": 0, "carrier_free_detected": 47, "restores_source": 0},
+    {"variant": "cf_strip", "watermarked_detected": 0, "carrier_free_detected": 47, "restores_source": 0},
+    {
+        "variant": "lm_watermarking_unicode_sanitizer",
+        "watermarked_detected": 0,
+        "carrier_free_detected": 46,
+        "restores_source": 0,
+    },
+    {"variant": "required_bundle", "watermarked_detected": 47, "carrier_free_detected": 47, "restores_source": 96},
 )
 TOKENIZER_OBSERVATIONS: tuple[dict[str, object], ...] = (
     {"model": "gemma-2-2b-it", "normalizer": "Replace", "carriers_reaching_token_stream": 9, "carriers_probed": 9},
@@ -252,12 +257,19 @@ def real_sanitizer_detector_observations() -> dict[str, object]:
         "pristine_watermarked_detected": REAL_SANITIZER_DETECTOR_PRISTINE_DETECTED,
         "per_variant": [dict(row) for row in REAL_SANITIZER_DETECTOR_OBSERVATIONS],
         "real_sanitizer_watermarked_detected": real["watermarked_detected"],
+        "real_sanitizer_carrier_free_detected": real["carrier_free_detected"],
         "required_bundle_watermarked_detected": bundle["watermarked_detected"],
         "required_bundle_restores_source_rows": bundle["restores_source"],
+        "confound_ruled_out": (
+            "the real sanitizer collapses space runs and strips Cc, so it could have suppressed "
+            "detection by itself; run on carrier-free watermarked text it still detects 46 of 48 "
+            "against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier"
+        ),
         "reading": (
-            "Mix evades at 0 of 48 after the real sanitizer, the same as raw. The required "
-            "bundle is the only variant that restores detection, and it does so only because "
-            "it reconstructs the original string on every row."
+            "Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that "
+            "sanitizer costs only one row of detection power on its own. The required bundle is "
+            "the only variant that restores detection, and it does so only because it "
+            "reconstructs the original string on every row."
         ),
         "confirmation_grade": False,
     }
@@ -470,7 +482,10 @@ def threat_model_audit_payload() -> dict[str, object]:
             "of the 396 invisible code points including U+034F, removes U+FE00, injects spurious "
             "spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked "
             "source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 "
-            "watermarked rows against 47 of 48 pristine, exactly as under raw. The one variant "
+            "watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer "
+            "collapses space runs and strips Cc, so it could have suppressed detection by itself, "
+            "but run on carrier-free watermarked text it still detects 46 of 48, which attributes "
+            "the drop to the carrier rather than to the sanitizer. The one variant "
             "that restores detection is the required bundle itself, at 47 of 48, and it does so "
             "only because it reconstructs the original string on all 96 rows. Read against the "
             "already recorded frozen confirmation evidence, the frozen conditions of the proposed "
@@ -547,6 +562,8 @@ def assert_threat_model_audit_committed() -> None:
         raise ValueError("the detector measurement must not use a spent or forbidden seed")
     if detector["confirmation_grade"] is not False:
         raise ValueError("an exploratory detector run must not be labelled confirmation grade")
+    if detector["real_sanitizer_carrier_free_detected"] <= detector["watermarked_rows"] // 2:
+        raise ValueError("the carrier-free control must show the real sanitizer preserves detection")
     live = threat_model_audit_payload()
     if live != disk:
         raise ValueError("threat model audit spec does not match the live payload")
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index c2976c35..700fef6a 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"9658d3df80de0f134a2fb37f8b9ba0f66288fe12f1572cd33f732d8000ad916d","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is not claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"model":"openai-community/gpt2","per_variant":[{"restores_source":0,"variant":"raw","watermarked_detected":0},{"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"702ee4613e8573823ecf45b0b74a0a112c9891e39a16a73f5d09023ddb4745d7","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself, but run on carrier-free watermarked text it still detects 46 of 48, which attributes the drop to the carrier rather than to the sanitizer. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is not claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"confound_ruled_out":"the real sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself; run on carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier","model":"openai-community/gpt2","per_variant":[{"carrier_free_detected":47,"restores_source":0,"variant":"raw","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"carrier_free_detected":46,"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that sanitizer costs only one row of detection power on its own. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_carrier_free_detected":46,"real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index ab1a23df..6eba7ab9 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -187,6 +187,15 @@ def test_mix_still_evades_the_real_sanitizer():
     assert detector["real_sanitizer_watermarked_detected"] == 0
 
 
+def test_the_real_sanitizer_does_not_suppress_detection_by_itself():
+    detector = real_sanitizer_detector_observations()
+    assert detector["real_sanitizer_carrier_free_detected"] == 46
+    assert detector["real_sanitizer_watermarked_detected"] == 0
+    assert "confound_ruled_out" in detector
+    for row in detector["per_variant"]:
+        assert row["carrier_free_detected"] >= 46
+
+
 def test_required_bundle_defeats_mix_only_by_restoring_the_source():
     detector = real_sanitizer_detector_observations()
     assert detector["required_bundle_watermarked_detected"] == 47
diff --git a/tools/h16_real_sanitizer_detector.py b/tools/h16_real_sanitizer_detector.py
index 87db0d8d..6ae84b30 100644
--- a/tools/h16_real_sanitizer_detector.py
+++ b/tools/h16_real_sanitizer_detector.py
@@ -50,6 +50,7 @@ def main() -> int:
         mixed = apply_letter_alternating_mix(source)
         pristine = _score_text(f"{sample['sample_id']}-pristine", source, tokenizer, adapter, eos)
         variants = {}
+        controls = {}
         for variant_id, function in VARIANTS:
             cleaned = function(mixed)
             score = _score_text(
@@ -61,6 +62,15 @@ def main() -> int:
                 "restores_source": cleaned == source,
                 "text_hash": sha256_text(cleaned),
             }
+            carrier_free = function(source)
+            carrier_free_score = _score_text(
+                f"{sample['sample_id']}-nomix-{variant_id}", carrier_free, tokenizer, adapter, eos
+            )
+            controls[variant_id] = {
+                "score": carrier_free_score,
+                "detected": carrier_free_score >= CYCLE6_THRESHOLD,
+                "changes_source": carrier_free != source,
+            }
         rows.append(
             {
                 "sample_id": sample["sample_id"],
@@ -69,6 +79,7 @@ def main() -> int:
                 "pristine_score": pristine,
                 "pristine_detected": pristine >= CYCLE6_THRESHOLD,
                 "variants": variants,
+                "carrier_free_controls": controls,
             }
         )
 
@@ -87,6 +98,12 @@ def main() -> int:
         summary[f"{variant_id}_restores_source"] = sum(
             bool(row["variants"][variant_id]["restores_source"]) for row in rows
         )
+        summary[f"{variant_id}_carrier_free_watermarked_detected"] = sum(
+            bool(row["carrier_free_controls"][variant_id]["detected"]) for row in watermarked
+        )
+        summary[f"{variant_id}_carrier_free_changes_source"] = sum(
+            bool(row["carrier_free_controls"][variant_id]["changes_source"]) for row in rows
+        )
 
     payload = {
         "algorithm_version": H16_EXPLORATORY_VERSION,
@@ -106,12 +123,16 @@ def main() -> int:
     print(f"threshold {CYCLE6_THRESHOLD}")
     print(f"watermarked rows {summary['watermarked_rows']}, unwatermarked rows {summary['unwatermarked_rows']}")
     print(f"pristine watermarked detected {summary['pristine_watermarked_detected']}/{summary['watermarked_rows']}")
+    rows_total = len(rows)
+    watermarked_total = summary["watermarked_rows"]
+    print(f"\n{'variant':38} {'mix detected':>13} {'no-mix control':>15} {'restores src':>13}")
     for variant_id, _ in VARIANTS:
         detected = summary[f"{variant_id}_watermarked_detected"]
+        control = summary[f"{variant_id}_carrier_free_watermarked_detected"]
         restores = summary[f"{variant_id}_restores_source"]
         print(
-            f"  mix + {variant_id:36} watermarked detected "
-            f"{detected}/{summary['watermarked_rows']}  restores source {restores}/{len(rows)}"
+            f"  {variant_id:36} {f'{detected}/{watermarked_total}':>13} "
+            f"{f'{control}/{watermarked_total}':>15} {f'{restores}/{rows_total}':>13}"
         )
     print("wrote", arguments.out)
     return 0

From 69cdf00ba64b57c2d2bb04b364040698d7c4cf85 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 06:18:13 +0000
Subject: [PATCH 20/28] Preregister Gate v2 and correct the H16 12-context
 overclaim.

Formalize detector-after-sanitizer publishability as
cycle8-publishability-gate-v2, still preregistered and not active.
Keep required_sanitizers_keep and the v1 mix sanitizer FAIL unchanged.
Reserve unspent confirmation seeds 1200000/1210000/1220000 before
generation. Record that the original H16 shaping scan executed latin
A/B only; the scan tool now iterates all advertised contexts.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  |   7 +
 README.md                                     |   2 +-
 docs/cycle8/README.md                         |   4 +-
 docs/cycle8/carrier-research.md               |   6 +-
 docs/cycle8/gate-v2.md                        |  68 +++
 docs/cycle8/seed-ledger.md                    |   5 +-
 docs/seeds.md                                 |   4 +
 evidence/h16-local/README.md                  |  17 +-
 fuckmark/cycle8/gate_v2.py                    | 401 ++++++++++++++++++
 fuckmark/cycle8/ledger.py                     |  28 ++
 fuckmark/cycle8/threat_model_audit.py         | 101 +++--
 fuckmark/cycle8_gate_v2_confirmation_hf.py    |  81 ++++
 fuckmark/cycle8_hf.py                         |  39 +-
 fuckmark/seeds/__init__.py                    |  20 +
 fuckmark/seeds/ledger.py                      |  40 +-
 ...uckmark-cycle8-publishability-gate-v2.json |   1 +
 .../fuckmark-cycle8-seed-ledger-v2.json       |   2 +-
 ...fuckmark-cycle8-threat-model-audit-v1.json |   2 +-
 specs/fuckmark-global-seed-ledger-v1.json     |   2 +-
 tests/test_cycle8_carriers.py                 |   6 +
 tests/test_cycle8_gate_v2.py                  | 166 ++++++++
 tests/test_cycle8_threat_model_audit.py       |   4 +
 tests/test_global_seed_ledger.py              |  21 +
 tools/h16_shaping_closure_scan.py             |  33 +-
 24 files changed, 997 insertions(+), 63 deletions(-)
 create mode 100644 docs/cycle8/gate-v2.md
 create mode 100644 fuckmark/cycle8/gate_v2.py
 create mode 100644 fuckmark/cycle8_gate_v2_confirmation_hf.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
 create mode 100644 tests/test_cycle8_gate_v2.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 921cd950..17bc1114 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,12 @@
 # Changelog
 
+## Unreleased
+
+- Formalized Cycle 8 publishability Gate v2 as `cycle8-publishability-gate-v2`, status `preregistered_not_active`. The product form is detector-after-sanitizer, not carrier fixed-point survival of every sanitizer. Mn-strip and default-ignorable-strip stay recorded as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`. `required_sanitizers_keep` is not weakened. The v1 mix sanitizer gate stays FAIL. Public CLI stays empty.
+- Recorded that the original H16 shaping scan executed one latin `A`/`B` context, not the advertised 12. The 286719 / 396 / intersection 0 figures remain VERIFIED for that A/B oracle. The scan tool now iterates all 12 advertised contexts; the corrected measurement is pending and does not overwrite the frozen A/B artifact.
+- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation. Do not reuse `830000` / `840000` / `850000`. Do not generate `950000`.
+- Gate v2 required sanitizers include frozen Cycle 7 `ws_collapse_nfkc_cf_strip` and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain UNSUPPORTED.
+
 ## v0.3.0 — Visible invariance, install and release hardening
 
 - Advanced the project version to 0.3.0 so the identity CLI is not published under the v0.2.0 contraction tag.
diff --git a/README.md b/README.md
index 7711cb5e..190c3433 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ A later system benchmark reserved seeds `980000` and `990000` before generation
 
 Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero.
 
-Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
+Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. Publishability Gate v2 is preregistered on unspent seeds `1200000` / `1210000` / `1220000` and is not active. See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
 
 See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`.
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index e15df30a..d090698d 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -17,13 +17,13 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re
 
 ## Seed ledger
 
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation.
+See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` are reserved and ungenerated.
 
 ## Carrier research
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. See `docs/cycle8/carrier-research.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; Gate v2 is preregistered and not active. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 501a2893..c81cd9df 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -144,7 +144,7 @@ Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
 
 `VERIFIED` as an audit of the gate itself, not another carrier search. H9-H15 all returned negatives; H16 asks whether the gate that produced them is correct. It is not.
 
-**The search space was empty by construction.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points in 12 shaping contexts finds 396 invisible code points in the Chromium `pre` font. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets. The intersection is 0 and no further enumeration can change that. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the closure.
+**The search space was empty by construction on the executed A/B oracle.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points finds 396 invisible code points in the Chromium `pre` font between latin `A` and `B`. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets on that oracle. The intersection is 0. The original H16 write-up advertised 12 shaping contexts; the committed scan executed only latin `A`/`B` (Codex P1). That overclaim is recorded. The scan tool now iterates all 12 advertised contexts; the corrected 12-context measurement is pending and does not rewrite the frozen A/B artifact. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the A/B closure.
 
 The other transformation classes close too. Substitution: 14 code points render as an ASCII space, all 14 NFKC-collapse to `U+0020`, none survives. Canonical re-encoding: the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The single remainder in all of Unicode is `Cc`, which ordinary-plain-text excludes — the H12 result, now shown to be unique rather than one option among many.
 
@@ -160,9 +160,9 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is **not** claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run — not a further carrier search, which the closure result rules out.
 
-`proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Adopting it needs an explicit product decision and a fresh confirmation run. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+`proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. Gate v2 is now formalized as `cycle8-publishability-gate-v2` and preregistered on unspent seeds `1200000` / `1210000` / `1220000`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
 
-Spec: `cycle8-threat-model-audit-v1`. Evidence: `evidence/h16-local/`.
+Spec: `cycle8-threat-model-audit-v1` and `cycle8-publishability-gate-v2`. Evidence: `evidence/h16-local/`. Protocol: `docs/cycle8/gate-v2.md`.
 
 ## Rejected as product mechanisms
 
diff --git a/docs/cycle8/gate-v2.md b/docs/cycle8/gate-v2.md
new file mode 100644
index 00000000..58a88904
--- /dev/null
+++ b/docs/cycle8/gate-v2.md
@@ -0,0 +1,68 @@
+# Cycle 8 publishability Gate v2
+
+Status: `preregistered_not_active`. Evidence label: `HYPOTHESIS`. Not confirmation. Not product authorization.
+
+Gate v2 is a versioned publishability definition. It is not a claim that mix is solved, and it does not change the public CLI.
+
+## Decision
+
+The product objective is:
+
+- `VISIBLE(x) == VISIBLE(T(x))` on every eligible row (Priority Zero)
+- `detector(S(T(x)))` remains negative for each required sanitizer `S`
+
+The H12-H15 search gate asked for carrier fixed-point survival:
+
+- `S(T(x)) == T(x)` for every sanitizer in `required_sanitizers_keep`, including Mn-strip and default-ignorable-strip
+
+Fixed-point survival is sufficient for detector-after-sanitizer evasion, but it is not required. The required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against those two sanitizers is a stress test of carrier survival, not a product publishability requirement.
+
+This is independently checked against the frozen product contract:
+
+- `default_ignorable_removal` and `nonspacing_mark_removal` are `stress_only_not_frozen`
+- mix already survives 21/21 frozen sanitizer fixtures
+- the v1 mix sanitizer gate remains `FAIL` because `required_sanitizers_keep` is not weakened
+
+## Classifications
+
+| sanitizer | classification |
+| --- | --- |
+| `raw` | `real_deployed_preprocessing` |
+| `nfc`, `nfkc`, `cf_strip`, `nfkc_cf_strip`, `ws_collapse`, `ws_collapse_nfkc_cf_strip` | `frozen_product_requirement` |
+| `lm_watermarking_unicode_sanitizer` | `real_deployed_preprocessing` (jwkirchenbauer/lm-watermarking `UnicodeSanitizer`, `WatermarkDetector(normalizers=["unicode"])` default) |
+| `nonspacing_mark_removal`, `default_ignorable_removal` | `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE` |
+| `required_bundle` | `KNOWN_DESTRUCTIVE_COUNTERMEASURE` (diagnostic; reconstructs the source) |
+| `homoglyphs`, `truecase` | `UNSUPPORTED` (opt-in lm-watermarking normalizers, not the unicode default) |
+
+Gate v2 adds `ws_collapse_nfkc_cf_strip` versus the H16 draft. That arm is a frozen Cycle 7 product-contract sanitizer.
+
+Mn-strip and default-ignorable-strip remain recorded. They still restore mix. They are not treated as harmless.
+
+## Confirmation protocol
+
+Reserved before generation, before any detector look:
+
+| seed | topic | role | n |
+| --- | --- | --- | --- |
+| 1200000 | `gate v2 confirmation primary` | confirmation | 64 |
+| 1210000 | `gate v2 confirmation replication` | confirmation | 64 |
+| 1220000 | `gate v2 confirmation holdout` | confirmation | 64 |
+
+Do not use `830000` / `840000` / `850000`. Do not generate `950000`. Do not reuse exploratory seed `890000` as confirmation.
+
+Pass thresholds, frozen before scoring:
+
+- identity / pristine watermarked detected `>= 168/192`
+- mix watermarked detected `= 0/192` after every required sanitizer
+- mix unwatermarked detected `= 0/192` on raw
+- exact visible invariance `192/192` on mix watermarked rows
+- `lm_watermarking_unicode_sanitizer` mix watermarked detected `= 0/192`
+- carrier-free identity plus that real sanitizer `>= 96/192` and drop from identity `<= 16`
+- `required_bundle` is scored as a diagnostic, not a pass condition
+- existing DeepMind 30-key mix `0/192` on `1060000` / `1070000` / `1080000` remains the current cross-detector evidence and is not rescored here
+
+Run once. If the result is `1/N`, report `1/N`. Do not rerun looking for zero. Do not retune on these rows.
+
+Spec: `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json`.
+
+Runner: `python -m fuckmark.cycle8_gate_v2_confirmation_hf --seed-base 1200000`.
diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md
index 60e4fc52..d0207c94 100644
--- a/docs/cycle8/seed-ledger.md
+++ b/docs/cycle8/seed-ledger.md
@@ -4,7 +4,7 @@ Current ledger identity: `cycle8-seed-ledger-v2` (`fuckmark/cycle8/ledger.py`).
 
 The PR #97 snapshot `cycle8-seed-ledger-v1` remains frozen under `specs/cycle8/fuckmark-cycle8-seed-ledger-v1.json`. Do not rewrite it.
 
-Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation. Control-mix exploratory seed `1100000` was reserved before control-mix generation.
+Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation. Control-mix exploratory seed `1100000` was reserved before control-mix generation. Gate v2 confirmation seeds `1200000`, `1210000`, and `1220000` were reserved in `global-seed-ledger-v1` **before** Gate v2 confirmation generation.
 
 See also `docs/seeds.md`.
 
@@ -49,5 +49,8 @@ See also `docs/seeds.md`.
 | DeepMind transfer holdout | 1080000 | deepmind mix transfer holdout | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
 | Second-model transfer | 1090000 | second model mix transfer | reserved before generation; DistilGPT2 n=16 HYPOTHESIS: identity 16/16, mix 0/16; not confirmation-scale |
 | Control-mix exploratory | 1100000 | control mix sanitizer exploratory | reserved before generation; independent H12 control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
+| Gate v2 confirmation primary | 1200000 | gate v2 confirmation primary | reserved before generation; n=64; not yet generated; do not retune after looking at scores |
+| Gate v2 confirmation replication | 1210000 | gate v2 confirmation replication | reserved before generation; n=64; not yet generated |
+| Gate v2 confirmation holdout | 1220000 | gate v2 confirmation holdout | reserved before generation; n=64; not yet generated |
 
 Do not promote any of these seeds into confirmation after seeing scores.
diff --git a/docs/seeds.md b/docs/seeds.md
index dbdd9948..7254e2c0 100644
--- a/docs/seeds.md
+++ b/docs/seeds.md
@@ -19,6 +19,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 - Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
 - Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
 - Seed `1100000` is reserved for independent H12 control-mix sanitizer exploratory n=16. Generated and scored: identity WM 15/16, control-mix WM 0/16. Do not treat the seen `920000` diagnostic as this corpus. Not confirmation.
+- Seeds `1200000`, `1210000`, and `1220000` are reserved for Gate v2 confirmation before generation. Detector-after-sanitizer protocol. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores.
 
 ## Cycle 8 scale reservation (before generation)
 
@@ -45,6 +46,9 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 | 1080000 | DeepMind transfer holdout | `deepmind mix transfer holdout` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
 | 1090000 | second-model transfer | `second model mix transfer` | reserved before generation; DistilGPT2 n=16 HYPOTHESIS identity 16/16 mix 0/16; not confirmation-scale |
 | 1100000 | control-mix exploratory | `control mix sanitizer exploratory` | reserved before generation; independent H12 Cc control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
+| 1200000 | Gate v2 confirmation primary | `gate v2 confirmation primary` | reserved before generation; n=64; detector-after-sanitizer including lm-watermarking UnicodeSanitizer and carrier-free control; not yet generated |
+| 1210000 | Gate v2 confirmation replication | `gate v2 confirmation replication` | reserved before generation; n=64; independent of 1200000; not yet generated |
+| 1220000 | Gate v2 confirmation holdout | `gate v2 confirmation holdout` | reserved before generation; n=64; independent of 1200000 and 1210000; not yet generated |
 
 ## Historical v1 Cycle 8 ledger
 
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index a4c233cc..e6ec3e6f 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -11,16 +11,19 @@ H9-H15 searched for a carrier that is invisible to the reader and also survives
 | measurement | value |
 | --- | --- |
 | assigned code points scanned | 286719 |
-| shaping contexts per code point | 12 |
+| shaping contexts advertised | 12 |
+| shaping contexts executed in the original scan | 1 (latin `A`/`B`) |
 | code points that are a required-bundle fixed point | 267550 |
-| code points that are shaping-invisible | 396 |
+| code points that are shaping-invisible on that A/B oracle | 396 |
 | shaping-invisible categories | `Mn` 262, `Cf` 134 |
 | shaping-invisible outside `Mn`/`Cf` | none |
 | **intersection** | **0** |
 
+The original H16 write-up advertised 12 shaping contexts. Independent review (Codex P1) found that `tools/h16_shaping_closure_scan.py` called `primary.invisible(codepoint)` with the default latin `A`/`B` context and never iterated `SHAPING_CONTEXTS`. Artifact `shaping-closure.json` has no contexts-scanned field. The 286719 / 396 / intersection 0 numbers are therefore **VERIFIED** for latin `A`/`B` only. That overclaim is recorded in `cycle8-threat-model-audit-v1`. The scan tool now iterates all 12 advertised contexts. The corrected measurement writes `shaping-closure-12context.json` and must not overwrite the frozen A/B artifact.
+
 The 396 invisible code points occupy 15 contiguous ranges and are the familiar invisible set: soft hyphen, CGJ, ALM, Khmer inherent vowels, Mongolian free variation selectors, the zero-width and bidi marks, bidi embedding and isolate controls, word joiner and the invisible operators, variation selectors, BOM, musical combining marks, and the tag characters.
 
-Every one of them is `Mn` or `Cf`. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable. Invisibility and required-bundle survival are therefore complementary by construction, not by coincidence. No further enumeration of code points, sequences, or shaping contexts can find a survivor, because the two sets partition the space.
+Every one of them is `Mn` or `Cf`. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable. On the executed A/B oracle, invisibility and required-bundle survival are therefore complementary by construction, not by coincidence.
 
 The other transformation classes close as well:
 
@@ -138,21 +141,21 @@ Reading the already-recorded frozen confirmation evidence against `proposed_gate
 
 The remaining condition, detection after the lm-watermarking `UnicodeSanitizer`, is met too: 0 of 48 on the exploratory lane, against 47 of 48 pristine.
 
-So every condition of `proposed_gate_v2` now has a measurement behind it. It is still **not** claimed satisfied: the real-sanitizer condition rests on an exploratory run rather than a confirmation one, so `proposed_gate_v2_fully_satisfied` is `false` and `confirmation_grade` is `false`. What remains is a product decision plus a confirmation-grade run — not a further carrier search, which the closure result rules out entirely.
+So every frozen condition of `proposed_gate_v2` now has a measurement behind it. It is still **not** claimed satisfied: the real-sanitizer condition rests on an exploratory run rather than a confirmation one, so `proposed_gate_v2_fully_satisfied` is `false` and `confirmation_grade` is `false`. Gate v2 is formalized as `cycle8-publishability-gate-v2` and preregistered on unspent seeds `1200000` / `1210000` / `1220000`. It adds `ws_collapse_nfkc_cf_strip` versus the H16 draft. See `docs/cycle8/gate-v2.md`.
 
 ## What this does not do
 
-This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`; adopting it needs an explicit product decision and a fresh confirmation run on an unspent corpus.
+This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`. Formal Gate v2 is `preregistered_not_active` until the confirmation artifacts exist.
 
 Spec: `specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json`.
 
-Artifacts in this folder: `shaping-closure.json`, `oracle-validation.json`, `tokenizer-threat-model.json`, `sanitizer-deployability.json`.
+Artifacts in this folder: `shaping-closure.json` (frozen A/B scan), `oracle-validation.json`, `tokenizer-threat-model.json`, `sanitizer-deployability.json`, `real-sanitizer-detector.json`.
 
 Reproduce with the research extra:
 
 ```text
 python -m pip install -e ".[research]"
-python tools/h16_shaping_closure_scan.py --out evidence/h16-local/shaping-closure.json
+python tools/h16_shaping_closure_scan.py --out evidence/h16-local/shaping-closure-12context.json
 python tools/h16_oracle_validation.py
 python tools/h16_tokenizer_threat_model.py
 python tools/h16_sanitizer_deployability.py
diff --git a/fuckmark/cycle8/gate_v2.py b/fuckmark/cycle8/gate_v2.py
new file mode 100644
index 00000000..b3e704fb
--- /dev/null
+++ b/fuckmark/cycle8/gate_v2.py
@@ -0,0 +1,401 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from .._validation import require_int
+from ..cli import process_text
+from ..config import canonical_json_text
+from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
+from ..hashing import sha256_json
+from ..product.contract import FROZEN_PRODUCT_CONTRACT_HASH, product_contract_payload
+from ..product.visible_projection import product_approved_carriers_v1
+from ..seeds.ledger import (
+    CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+    CYCLE8_SCALE_VALIDATION_SEED_BASE,
+    row_for_seed_base,
+)
+from ..transforms.registry import release_transform_registry
+from .compare import CYCLE8_IDENTITY_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID
+from .control_carrier import apply_required_sanitizer_bundle
+from .sanitize import sanitize_cycle8_scale_variant
+from .threat_model_audit import lm_watermarking_unicode_sanitizer
+
+
+CYCLE8_PUBLISHABILITY_GATE_V2_VERSION = "cycle8-publishability-gate-v2"
+CYCLE8_PUBLISHABILITY_GATE_V2_PATH = "specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json"
+CYCLE8_PUBLISHABILITY_GATE_V2_HASH = "ae34554f54db68732975d933a7a47fc29b779e6026d7e2f2162ef15c3a67f086"
+CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION = "cycle8-gate-v2-confirmation-detector-compare-v1"
+CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_VERSION = "cycle8-gate-v2-confirmation-scorecard-v1"
+CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT = 64
+CYCLE8_GATE_V2_CONFIRMATION_DATE = "2026-08-27"
+GATE_V2_STATUS_PREREGISTERED = "preregistered_not_active"
+GATE_V2_MIX_ARM_ID = CYCLE8_LETTER_ALT_ARM_ID
+GATE_V2_IDENTITY_ARM_ID = CYCLE8_IDENTITY_ARM_ID
+GATE_V2_ARM_IDS = (CYCLE8_IDENTITY_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID)
+GATE_V2_UNICODE_SANITIZER_ID = "lm_watermarking_unicode_sanitizer"
+GATE_V2_REQUIRED_BUNDLE_ID = "required_bundle"
+GATE_V2_REQUIRED_SANITIZER_IDS = (
+    "raw",
+    "nfc",
+    "nfkc",
+    "cf_strip",
+    "nfkc_cf_strip",
+    "ws_collapse",
+    "ws_collapse_nfkc_cf_strip",
+    GATE_V2_UNICODE_SANITIZER_ID,
+)
+GATE_V2_DIAGNOSTIC_SANITIZER_IDS = (GATE_V2_REQUIRED_BUNDLE_ID,)
+GATE_V2_SCORED_SANITIZER_IDS = (*GATE_V2_REQUIRED_SANITIZER_IDS, *GATE_V2_DIAGNOSTIC_SANITIZER_IDS)
+GATE_V2_CONFIRMATION_SEED_BASES = (
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+)
+GATE_V2_CONFIRMATION_TOPICS = {
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE: CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE: CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE: CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC,
+}
+GATE_V2_IDENTITY_WM_MIN = 168
+GATE_V2_MIX_WM_MAX = 0
+GATE_V2_MIX_UW_MAX = 0
+GATE_V2_VISIBLE_PASS_MIN = 192
+GATE_V2_CARRIER_FREE_UNICODE_MIN = 96
+GATE_V2_CARRIER_FREE_UNICODE_MAX_DROP = 16
+GATE_V2_TOTAL_ROWS = 192
+
+
+def gate_v2_confirmation_artifact_dir(seed_base: int) -> str:
+    require_int("seed_base", seed_base)
+    return (
+        f"evidence/cycle8-gate-v2-confirmation-{seed_base}-n"
+        f"{CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT}-{CYCLE8_GATE_V2_CONFIRMATION_DATE}"
+    )
+
+
+def gate_v2_confirmation_artifact_path(seed_base: int) -> str:
+    return f"{gate_v2_confirmation_artifact_dir(seed_base)}/detector-compare.json"
+
+
+def sanitize_gate_v2_variant(variant_id: str, text: str) -> str:
+    if not isinstance(variant_id, str) or not variant_id:
+        raise TypeError("variant_id must be a non-empty string")
+    if not isinstance(text, str):
+        raise TypeError("text must be a string")
+    if variant_id not in GATE_V2_SCORED_SANITIZER_IDS:
+        raise ValueError(f"unknown Gate v2 sanitizer variant: {variant_id}")
+    if variant_id == GATE_V2_UNICODE_SANITIZER_ID:
+        return lm_watermarking_unicode_sanitizer(text)
+    if variant_id == GATE_V2_REQUIRED_BUNDLE_ID:
+        return apply_required_sanitizer_bundle(text)
+    return sanitize_cycle8_scale_variant(variant_id, text)
+
+
+def assert_gate_v2_confirmation_generation_seed(seed_base: int) -> None:
+    require_int("seed_base", seed_base)
+    if seed_base in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES:
+        raise ValueError("spent mix-freeze confirmation seeds must not be reused")
+    if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("do not generate 950000")
+    if seed_base not in GATE_V2_CONFIRMATION_SEED_BASES:
+        raise ValueError("seed_base is not a Gate v2 confirmation seed")
+    row = row_for_seed_base(seed_base)
+    if row["generated"] is True:
+        raise ValueError("Gate v2 confirmation seed already generated")
+    if row["scored"] is True:
+        raise ValueError("Gate v2 confirmation seed already scored")
+    if row["eligible_for_confirmation"] is not True:
+        raise ValueError("seed is not eligible for Gate v2 confirmation")
+    if row["generation_topic"] != GATE_V2_CONFIRMATION_TOPICS[seed_base]:
+        raise ValueError("seed topic does not match the Gate v2 protocol")
+
+
+def gate_v2_confirmation_artifacts_present() -> bool:
+    return all(Path(gate_v2_confirmation_artifact_path(seed_base)).is_file() for seed_base in GATE_V2_CONFIRMATION_SEED_BASES)
+
+
+def contract_stress_only_sanitizers() -> tuple[str, ...]:
+    assumptions = product_contract_payload()["sanitizer_assumptions"]
+    return tuple(assumptions["stress_only_not_frozen"])
+
+
+def gate_v2_payload() -> dict[str, object]:
+    stress_only = contract_stress_only_sanitizers()
+    payload = {
+        "algorithm_version": CYCLE8_PUBLISHABILITY_GATE_V2_VERSION,
+        "status": GATE_V2_STATUS_PREREGISTERED,
+        "evidence_label": "HYPOTHESIS",
+        "confirmation_grade": False,
+        "fully_satisfied": False,
+        "product_authorized": False,
+        "mix_sanitizer_gate_v1": "FAIL",
+        "required_sanitizer_bundle_not_weakened": True,
+        "release_registry_empty": release_transform_registry().rules == (),
+        "approved_carriers_empty": product_approved_carriers_v1() == frozenset(),
+        "cli_identity": process_text("I do not agree.") == "I do not agree.",
+        "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
+        "decision": {
+            "form": "detector_after_sanitizer",
+            "rejected_form": "carrier_fixed_point_of_every_sanitizer",
+            "rationale": (
+                "The product objective is that detection remain negative after sanitizers a "
+                "real detector pipeline can run, while exact visible text is preserved. "
+                "Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The "
+                "H12-H15 required bundle deletes mix carriers and reconstructs the source, "
+                "so a fixed-point gate against Mn-strip and default-ignorable-strip is a "
+                "stress test of carrier survival, not a product publishability requirement."
+            ),
+        },
+        "classifications": {
+            "raw": "real_deployed_preprocessing",
+            "nfc": "frozen_product_requirement",
+            "nfkc": "frozen_product_requirement",
+            "cf_strip": "frozen_product_requirement",
+            "nfkc_cf_strip": "frozen_product_requirement",
+            "ws_collapse": "frozen_product_requirement",
+            "ws_collapse_nfkc_cf_strip": "frozen_product_requirement",
+            "lm_watermarking_unicode_sanitizer": "real_deployed_preprocessing",
+            "nonspacing_mark_removal": "stress_only_not_frozen",
+            "default_ignorable_removal": "stress_only_not_frozen",
+            "required_bundle": "known_destructive_countermeasure",
+            "homoglyphs": "unsupported",
+            "truecase": "unsupported",
+        },
+        "required_sanitizers": list(GATE_V2_REQUIRED_SANITIZER_IDS),
+        "diagnostic_sanitizers": list(GATE_V2_DIAGNOSTIC_SANITIZER_IDS),
+        "excluded_sanitizers": list(stress_only),
+        "exclusion_reason": (
+            "stress_only_not_frozen in the frozen product contract; undeployable on ordinary "
+            "multilingual text; not used by measured production detector tokenizers"
+        ),
+        "added_versus_h16_proposal": ["ws_collapse_nfkc_cf_strip"],
+        "addition_reason": "frozen Cycle 7 product-contract sanitizer omitted from the H16 draft",
+        "optional_unsupported": ["homoglyphs", "truecase"],
+        "optional_unsupported_reason": (
+            "jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as "
+            "WatermarkDetector(normalizers=['unicode']) defaults"
+        ),
+        "condition": (
+            "detector(S(T(x))) remains negative for each required sanitizer S, while "
+            "VISIBLE(x) == VISIBLE(T(x)) on every eligible row"
+        ),
+        "still_requires": [
+            "exact_user_visible_text_preservation",
+            "ordinary_plain_text",
+            "fresh_unspent_confirmation_corpus",
+            "carrier_free_control_on_the_real_sanitizer",
+            "identity_detector_health",
+        ],
+        "confirmation_protocol": {
+            "status": "preregistered_before_generation",
+            "pair_count_per_seed": CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT,
+            "total_watermarked_rows": GATE_V2_TOTAL_ROWS,
+            "seed_bases": list(GATE_V2_CONFIRMATION_SEED_BASES),
+            "topics": [GATE_V2_CONFIRMATION_TOPICS[seed] for seed in GATE_V2_CONFIRMATION_SEED_BASES],
+            "forbidden_seeds": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES) + [CYCLE8_SCALE_VALIDATION_SEED_BASE, 890000],
+            "arm_ids": list(GATE_V2_ARM_IDS),
+            "mechanism_id": GATE_V2_MIX_ARM_ID,
+            "scored_sanitizer_ids": list(GATE_V2_SCORED_SANITIZER_IDS),
+            "run_once": True,
+            "rerun_looking_for_zero": False,
+            "detector_algorithm_version": CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION,
+            "thresholds": {
+                "identity_watermarked_detected_min": GATE_V2_IDENTITY_WM_MIN,
+                "mix_watermarked_detected_max": GATE_V2_MIX_WM_MAX,
+                "mix_unwatermarked_detected_max": GATE_V2_MIX_UW_MAX,
+                "mix_visible_pass_min": GATE_V2_VISIBLE_PASS_MIN,
+                "carrier_free_unicode_detected_min": GATE_V2_CARRIER_FREE_UNICODE_MIN,
+                "carrier_free_unicode_max_drop_from_identity": GATE_V2_CARRIER_FREE_UNICODE_MAX_DROP,
+            },
+            "pass_conditions": [
+                "pristine/identity watermarked detection stays at or above the preregistered floor",
+                "transformed mix watermarked detection is 0 after every required sanitizer",
+                "transformed mix unwatermarked detection is 0 on raw",
+                "exact visible invariance passes every mix watermarked row",
+                "frozen product-contract sanitizer arms remain 0 on mix watermarked rows",
+                "lm-watermarking UnicodeSanitizer mix watermarked detection is 0",
+                "carrier-free identity plus UnicodeSanitizer still detects strongly enough",
+                "results are written once and hashed; do not rerun looking for zero",
+                "cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here",
+            ],
+            "diagnostic_not_pass_conditions": [
+                "required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate",
+            ],
+            "artifacts": [gate_v2_confirmation_artifact_path(seed) for seed in GATE_V2_CONFIRMATION_SEED_BASES],
+            "artifacts_present": gate_v2_confirmation_artifacts_present(),
+        },
+        "why_not_fully_satisfied": (
+            "the protocol is preregistered; confirmation-grade artifacts are not yet written"
+        ),
+        "notes": (
+            "Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on "
+            "the Cycle 8 v1 publishability report stays FAIL. Mn-strip and "
+            "default-ignorable-strip remain recorded stress tests. Public CLI stays empty. "
+            "Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000."
+        ),
+    }
+    return {**payload, "gate_hash": sha256_json(payload)}
+
+
+def write_gate_v2_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_PUBLISHABILITY_GATE_V2_PATH)
+    payload = gate_v2_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_gate_v2(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_PUBLISHABILITY_GATE_V2_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_gate_v2_committed() -> None:
+    path = Path(CYCLE8_PUBLISHABILITY_GATE_V2_PATH)
+    if not path.is_file():
+        raise ValueError("Gate v2 spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "gate_hash"}
+    digest = sha256_json(body)
+    if disk.get("gate_hash") != digest:
+        raise ValueError("Gate v2 spec hash mismatch")
+    if CYCLE8_PUBLISHABILITY_GATE_V2_HASH == "0" * 64:
+        raise ValueError("Gate v2 spec hash is not frozen")
+    if digest != CYCLE8_PUBLISHABILITY_GATE_V2_HASH:
+        raise ValueError("Gate v2 spec hash is not the frozen digest")
+    if disk["product_authorized"] is True:
+        raise ValueError("Gate v2 must not product-authorize a mechanism while preregistered")
+    if disk["status"] != GATE_V2_STATUS_PREREGISTERED:
+        raise ValueError("Gate v2 must remain preregistered until confirmation artifacts exist")
+    if disk["confirmation_grade"] is True:
+        raise ValueError("Gate v2 must not claim confirmation grade before artifacts exist")
+    if disk["fully_satisfied"] is True:
+        raise ValueError("Gate v2 must not claim to be fully satisfied before artifacts exist")
+    if disk["mix_sanitizer_gate_v1"] != "FAIL":
+        raise ValueError("Gate v2 must not rewrite the v1 mix sanitizer gate")
+    if disk["required_sanitizer_bundle_not_weakened"] is not True:
+        raise ValueError("Gate v2 must not weaken the required sanitizer bundle")
+    if release_transform_registry().rules != ():
+        raise ValueError("release_transform_registry must stay empty")
+    if product_approved_carriers_v1() != frozenset():
+        raise ValueError("product_approved_carriers_v1 must stay empty")
+    live = gate_v2_payload()
+    if live != disk:
+        raise ValueError("Gate v2 spec does not match the live payload")
+
+
+def build_gate_v2_confirmation_scorecard() -> dict[str, object]:
+    if not gate_v2_confirmation_artifacts_present():
+        raise ValueError("Gate v2 confirmation artifacts are not present")
+    identity_wm = 0
+    identity_uw = 0
+    mix_uw = 0
+    visible_pass = 0
+    visible_total = 0
+    required = {variant: 0 for variant in GATE_V2_REQUIRED_SANITIZER_IDS}
+    diagnostic = {variant: 0 for variant in GATE_V2_DIAGNOSTIC_SANITIZER_IDS}
+    carrier_free = 0
+    mix_max = None
+    corpora: list[dict[str, object]] = []
+    for seed_base in GATE_V2_CONFIRMATION_SEED_BASES:
+        relative = gate_v2_confirmation_artifact_path(seed_base)
+        artifact = json.loads(Path(relative).read_text(encoding="utf-8"))
+        body = {key: value for key, value in artifact.items() if key != "artifact_hash"}
+        digest = sha256_json(body)
+        if artifact.get("artifact_hash") != digest:
+            raise ValueError("Gate v2 confirmation artifact hash mismatch")
+        if int(artifact["seed_base"]) != seed_base:
+            raise ValueError("Gate v2 confirmation artifact seed mismatch")
+        if artifact["algorithm_version"] != CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION:
+            raise ValueError("Gate v2 confirmation artifact algorithm mismatch")
+        mix = artifact["summaries"][GATE_V2_MIX_ARM_ID]
+        identity = artifact["summaries"][GATE_V2_IDENTITY_ARM_ID]
+        mix_detected = mix["sanitizer_watermarked_detected"]
+        identity_detected = identity["sanitizer_watermarked_detected"]
+        identity_wm += int(identity["pristine_watermarked_detected"])
+        identity_uw += int(identity["pristine_unwatermarked_detected"])
+        mix_uw += int(mix["raw_unwatermarked_detected"])
+        carrier_free += int(identity_detected[GATE_V2_UNICODE_SANITIZER_ID])
+        mix_score = float(mix["raw_watermarked_max_score"])
+        mix_max = mix_score if mix_max is None else max(mix_max, mix_score)
+        for variant in GATE_V2_REQUIRED_SANITIZER_IDS:
+            required[variant] += int(mix_detected[variant])
+        for variant in GATE_V2_DIAGNOSTIC_SANITIZER_IDS:
+            diagnostic[variant] += int(mix_detected[variant])
+        for row in artifact["scored_rows"]:
+            if row["arm_id"] != GATE_V2_MIX_ARM_ID or row["label"] != "watermarked":
+                continue
+            visible_total += 1
+            visible_pass += int(bool(row["geometry"]["visible_ok"]))
+        corpora.append(
+            {
+                "seed_base": seed_base,
+                "path": relative,
+                "artifact_hash": digest,
+                "topic": artifact["topic"],
+                "identity_pristine_watermarked_detected": int(identity["pristine_watermarked_detected"]),
+                "mix_raw_watermarked_detected": int(mix_detected["raw"]),
+                "mix_raw_unwatermarked_detected": int(mix["raw_unwatermarked_detected"]),
+                "mix_unicode_sanitizer_watermarked_detected": int(mix_detected[GATE_V2_UNICODE_SANITIZER_ID]),
+                "carrier_free_unicode_watermarked_detected": int(identity_detected[GATE_V2_UNICODE_SANITIZER_ID]),
+                "mix_max_score": mix_score,
+                "visible_pass_count": int(mix["visible_pass_count"]),
+            }
+        )
+    drop = identity_wm - carrier_free
+    required_pass = all(value <= GATE_V2_MIX_WM_MAX for value in required.values())
+    passed = (
+        identity_wm >= GATE_V2_IDENTITY_WM_MIN
+        and required_pass
+        and mix_uw <= GATE_V2_MIX_UW_MAX
+        and visible_pass >= GATE_V2_VISIBLE_PASS_MIN
+        and visible_total == GATE_V2_TOTAL_ROWS
+        and carrier_free >= GATE_V2_CARRIER_FREE_UNICODE_MIN
+        and drop <= GATE_V2_CARRIER_FREE_UNICODE_MAX_DROP
+    )
+    payload = {
+        "algorithm_version": CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_VERSION,
+        "gate_version": CYCLE8_PUBLISHABILITY_GATE_V2_VERSION,
+        "status": "measured",
+        "confirmation": passed,
+        "confirmation_grade": passed,
+        "fully_satisfied": passed,
+        "product_authorized": False,
+        "run_once": True,
+        "rerun_looking_for_zero": False,
+        "evidence_label": "VERIFIED" if passed else "HYPOTHESIS",
+        "threshold": CYCLE6_THRESHOLD,
+        "identity_watermarked_detected": identity_wm,
+        "identity_unwatermarked_detected": identity_uw,
+        "mix_unwatermarked_detected": mix_uw,
+        "mix_watermarked_detected_by_required_sanitizer": required,
+        "mix_watermarked_detected_by_diagnostic_sanitizer": diagnostic,
+        "carrier_free_unicode_watermarked_detected": carrier_free,
+        "carrier_free_unicode_drop_from_identity": drop,
+        "visible_pass_rate": f"{visible_pass}/{visible_total}",
+        "mix_max_score": mix_max,
+        "pass_conditions": {
+            "identity_watermarked_detected": identity_wm >= GATE_V2_IDENTITY_WM_MIN,
+            "mix_required_sanitizers_undetected": required_pass,
+            "mix_unwatermarked_undetected": mix_uw <= GATE_V2_MIX_UW_MAX,
+            "visible_invariance": visible_pass >= GATE_V2_VISIBLE_PASS_MIN and visible_total == GATE_V2_TOTAL_ROWS,
+            "carrier_free_unicode_floor": carrier_free >= GATE_V2_CARRIER_FREE_UNICODE_MIN,
+            "carrier_free_unicode_max_drop": drop <= GATE_V2_CARRIER_FREE_UNICODE_MAX_DROP,
+        },
+        "corpora": corpora,
+        "do_not_generate_950000": True,
+        "notes": (
+            "One-shot Gate v2 confirmation of detector-after-sanitizer publishability. "
+            "Do not rerun looking for zero. Do not retune on these corpora. "
+            "required_bundle is diagnostic. Public CLI remains empty until a separate "
+            "product-authorization step."
+        ),
+    }
+    return {**payload, "scorecard_hash": sha256_json(payload)}
diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py
index c3827d44..42536f2f 100644
--- a/fuckmark/cycle8/ledger.py
+++ b/fuckmark/cycle8/ledger.py
@@ -33,6 +33,12 @@
     CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
     CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
     CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC,
     CYCLE8_LETTER_EXPLORATORY_SEED_BASE,
     CYCLE8_LETTER_EXPLORATORY_TOPIC,
     CYCLE8_SCALE_EXPLORATORY_SEED_BASE,
@@ -67,6 +73,7 @@
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE = "deepmind_transfer_holdout"
 CYCLE8_SECOND_MODEL_TRANSFER_ROLE = "second_model_transfer"
 CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE = "control_mix_exploratory_development"
+CYCLE8_GATE_V2_CONFIRMATION_ROLE = "gate_v2_confirmation"
 CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved"
 
 CYCLE8_EXPLORATORY_SEED_BASE = 890_000
@@ -94,6 +101,11 @@
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES = (CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE,)
 CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES = (CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,)
 CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES = (CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,)
+CYCLE8_GATE_V2_CONFIRMATION_SEED_BASES = (
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+)
 CYCLE8_CONFIRMATION_RESERVED_SEED_BASES = (830_000, 840_000, 850_000)
 CYCLE8_EXPLORATORY_TOPIC = "invisible carrier development"
 CYCLE8_REPLICATION_TOPIC = "invisible carrier replication"
@@ -179,6 +191,13 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
         "second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
         "control_mix_exploratory_seed_base": CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
         "control_mix_exploratory_topic": CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+        "gate_v2_confirmation_primary_seed_base": CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+        "gate_v2_confirmation_primary_topic": CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+        "gate_v2_confirmation_replication_seed_base": CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+        "gate_v2_confirmation_replication_topic": CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+        "gate_v2_confirmation_holdout_seed_base": CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+        "gate_v2_confirmation_holdout_topic": CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC,
+        "gate_v2_confirmation_seed_bases": list(CYCLE8_GATE_V2_CONFIRMATION_SEED_BASES),
         "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT,
         "letter_benchmark_pair_count": CYCLE8_LETTER_BENCHMARK_PAIR_COUNT,
         "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES),
@@ -216,6 +235,10 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
             "Control-mix exploratory seed 1100000 and topic 'control mix sanitizer "
             "exploratory' were reserved in global-seed-ledger-v1 before control-mix "
             "generation. "
+            "Gate v2 confirmation seeds 1200000, 1210000, and 1220000 and topics "
+            "'gate v2 confirmation primary', 'gate v2 confirmation replication', and "
+            "'gate v2 confirmation holdout' were reserved in global-seed-ledger-v1 "
+            "before Gate v2 confirmation generation. "
             "cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was "
             "generated once under the freeze; those bases are spent. Do not rerun "
             "looking for zero, and do not retune on Cycle 6 formal residuals."
@@ -271,6 +294,8 @@ def role_for_seed_base(seed_base: int) -> str | None:
         return CYCLE8_SECOND_MODEL_TRANSFER_ROLE
     if seed_base in CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES:
         return CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE
+    if seed_base in CYCLE8_GATE_V2_CONFIRMATION_SEED_BASES:
+        return CYCLE8_GATE_V2_CONFIRMATION_ROLE
     if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES:
         return CYCLE8_CONFIRMATION_RESERVED_ROLE
     return None
@@ -284,6 +309,8 @@ def assert_cycle8_development_seed(seed_base: int, *, role: str) -> None:
         raise ValueError("seed_base is spent or reserved outside Cycle 8 development")
     if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES:
         raise ValueError("confirmation-reserved seeds must not be used for Cycle 8 development")
+    if seed_base in CYCLE8_GATE_V2_CONFIRMATION_SEED_BASES:
+        raise ValueError("Gate v2 confirmation seeds must not be used for Cycle 8 development")
     if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
         raise ValueError("scale validation seed is reserved until the U+034F x1 mechanism is frozen")
     expected = role_for_seed_base(seed_base)
@@ -316,5 +343,6 @@ def ledger_roles() -> Mapping[str, Sequence[int]]:
         CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_ROLE: CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASES,
         CYCLE8_SECOND_MODEL_TRANSFER_ROLE: CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASES,
         CYCLE8_CONTROL_MIX_EXPLORATORY_ROLE: CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASES,
+        CYCLE8_GATE_V2_CONFIRMATION_ROLE: CYCLE8_GATE_V2_CONFIRMATION_SEED_BASES,
         CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES,
     }
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index a56c521b..1d273ba3 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -21,7 +21,7 @@
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "702ee4613e8573823ecf45b0b74a0a112c9891e39a16a73f5d09023ddb4745d7"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "32f30b69a07cf13a92c2c76b4242c54df103cf15de6818ae8b23d4a07e3eb83e"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -57,6 +57,9 @@
     ("hangul", "\uac00", "\ub098"),
     ("punct", ".", ","),
 )
+PRODUCT_SHAPING_CONTEXT_IDS = ("latin", "latin_lower", "digit", "space_left", "space_right", "start", "end", "punct")
+ORIGINAL_H16_SCAN_CONTEXT_IDS = ("latin",)
+TWELVE_CONTEXT_RESCAN_STATUS = "tool_corrected_measurement_pending"
 
 SHAPING_INVISIBLE_RANGES: tuple[tuple[int, int], ...] = (
     (0x00AD, 0x00AD),
@@ -77,7 +80,8 @@
 )
 ASSIGNED_CODEPOINTS_SCANNED = 286719
 REQUIRED_SANITIZER_FIXED_POINT_COUNT = 267550
-SHAPING_CONTEXTS_SCANNED = 12
+SHAPING_CONTEXTS_ADVERTISED = 12
+SHAPING_CONTEXTS_SCANNED = 1
 ORACLE_VALIDATION_SAMPLE = 23
 ORACLE_VALIDATION_AGREEMENT = 20
 ORACLE_VALIDATION_DISAGREEMENTS = ("cf_zwnj", "cc_del", "cc_c1_pad")
@@ -381,12 +385,14 @@ def threat_model_audit_payload() -> dict[str, object]:
             "id": "q4_were_h9_h15_trapped",
             "question": "Did H9-H15 become trapped in one mechanism family or framing?",
             "answer": (
-                "The framing was not merely narrow, it was empty. Invisibility and required "
-                "sanitizer survival are complementary by construction: every one of the 396 "
-                "invisible code points in the Chromium pre font is Mn or Cf, and the required "
-                "bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code "
-                "points, sequences or shaping contexts could have found a survivor, so the "
-                "H9-H15 negatives measure the gate rather than Unicode."
+                "The original H16 scan measured one context, latin A/B, not the advertised 12. "
+                "On that A/B measurement, invisibility and required-sanitizer survival are "
+                "complementary: every one of the 396 invisible code points in the Chromium pre "
+                "font is Mn or Cf, and the required bundle strips exactly Mn, Cf and "
+                "default-ignorable. The 12-context claim was an overclaim (Codex P1). The scan "
+                "tool now iterates all 12 advertised contexts; the corrected measurement is "
+                "pending. H9-H15 negatives still measure the fixed-point gate rather than a "
+                "missing English-ASCII product carrier on the A/B oracle."
             ),
             "evidence": "evidence/h16-local/shaping-closure.json",
         },
@@ -403,7 +409,12 @@ def threat_model_audit_payload() -> dict[str, object]:
         "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
         "closure": {
             "assigned_codepoints_scanned": ASSIGNED_CODEPOINTS_SCANNED,
+            "shaping_contexts_advertised": SHAPING_CONTEXTS_ADVERTISED,
             "shaping_contexts_scanned": SHAPING_CONTEXTS_SCANNED,
+            "original_h16_scan_context_ids": list(ORIGINAL_H16_SCAN_CONTEXT_IDS),
+            "original_h16_scan_overclaimed_twelve_contexts": True,
+            "twelve_context_rescan_status": TWELVE_CONTEXT_RESCAN_STATUS,
+            "product_shaping_context_ids": list(PRODUCT_SHAPING_CONTEXT_IDS),
             "required_sanitizer_fixed_point_count": REQUIRED_SANITIZER_FIXED_POINT_COUNT,
             "shaping_invisible_count": shaping_invisible_codepoint_count(),
             "shaping_invisible_categories": invisible_categories,
@@ -456,6 +467,8 @@ def threat_model_audit_payload() -> dict[str, object]:
                 "fresh_unspent_confirmation_corpus",
             ],
             "adoption": "requires an explicit product decision and a fresh confirmation run",
+            "formalized_as": "cycle8-publishability-gate-v2",
+            "formalization_status": "preregistered_not_active",
         },
         "proposed_gate_status_on_existing_evidence": proposed_gate_status_on_existing_evidence(),
         "stronger_priority_zero_safe_mechanism": None,
@@ -465,37 +478,41 @@ def threat_model_audit_payload() -> dict[str, object]:
         "spent_confirmation_corpora_not_reused": True,
         "mix_sanitizer_gate": "FAIL",
         "boundary": (
-            "The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is "
-            "structural rather than empirical. Across 286719 assigned code points and 12 shaping "
-            "contexts, the Chromium pre font renders 396 code points invisibly and every one is "
-            "Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: "
-            "14 code points render as an ASCII space and none survives the bundle. Canonical "
-            "re-encoding adds nothing either, because the declared ASCII input domain is a fixed "
-            "point of all four normalization forms. Deletion and reordering change visible text. "
-            "The only remainder in the whole space is C0/C1, which the ordinary-plain-text "
-            "requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip "
-            "and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product "
-            "contract, are applied by no production detector tokenizer measured here, and corrupt "
-            "ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no "
-            "sanitizer is real. Exactly one ships on by default, the lm-watermarking "
-            "UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 "
-            "of the 396 invisible code points including U+034F, removes U+FE00, injects spurious "
-            "spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked "
-            "source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 "
-            "watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer "
-            "collapses space runs and strips Cc, so it could have suppressed detection by itself, "
-            "but run on carrier-free watermarked text it still detects 46 of 48, which attributes "
-            "the drop to the carrier rather than to the sanitizer. The one variant "
-            "that restores detection is the required bundle itself, at 47 of 48, and it does so "
-            "only because it reconstructs the original string on all 96 rows. Read against the "
-            "already recorded frozen confirmation evidence, the frozen conditions of the proposed "
-            "gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen "
-            "sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the "
-            "proposed gate now has a measurement, but the real-sanitizer one is exploratory, so "
-            "the gate is not claimed satisfied at confirmation grade. What remains is a product "
-            "decision plus a confirmation run, not a further carrier search. This record makes "
-            "neither: the required bundle is unchanged, the proposal stays inactive, and mix "
-            "stays FAIL."
+            "The H12-H15 sanitizer gate cannot be satisfied by any mechanism that is both "
+            "shaping-invisible in the original H16 latin A/B oracle and a fixed point of the "
+            "required bundle, and that A/B measurement found 396 invisible code points, all "
+            "Mn or Cf. H16 advertised 12 shaping contexts but the committed scan executed "
+            "only latin A/B; that overclaim is recorded here and the scan tool now iterates "
+            "all 12 contexts. Substitution adds nothing: 14 code points render as an ASCII "
+            "space and none survives the bundle. Canonical re-encoding adds nothing either, "
+            "because the declared ASCII input domain is a fixed point of all four "
+            "normalization forms. Deletion and reordering change visible text. The only "
+            "remainder in the whole space on the A/B oracle is C0/C1, which the "
+            "ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that "
+            "close the space, Mn-strip and default-ignorable-strip, are marked "
+            "stress_only_not_frozen by the frozen product contract, are applied by no "
+            "production detector tokenizer measured here, and corrupt ordinary Devanagari, "
+            "Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. "
+            "Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it "
+            "is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible "
+            "code points including U+034F, removes U+FE00, injects spurious spaces, corrupts "
+            "5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured "
+            "on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked "
+            "rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses "
+            "space runs and strips Cc, so it could have suppressed detection by itself, but "
+            "run on carrier-free watermarked text it still detects 46 of 48, which attributes "
+            "the drop to the carrier rather than to the sanitizer. The one variant that "
+            "restores detection is the required bundle itself, at 47 of 48, and it does so "
+            "only because it reconstructs the original string on all 96 rows. Read against "
+            "the already recorded frozen confirmation evidence, the frozen conditions of the "
+            "proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, "
+            "every frozen sanitizer still detects 0, and visible text passes 192 of 192. "
+            "The real-sanitizer condition is exploratory, so the gate is not claimed "
+            "satisfied at confirmation grade. Gate v2 is now formalized as "
+            "cycle8-publishability-gate-v2 and preregistered, not active. What remains is a "
+            "fresh confirmation run on unspent seeds 1200000/1210000/1220000. This record "
+            "does not product-authorize mix: the required bundle is unchanged, the v1 mix "
+            "sanitizer gate stays FAIL, and the public CLI stays empty."
         ),
     }
     return {**payload, "audit_hash": sha256_json(payload)}
@@ -537,6 +554,12 @@ def assert_threat_model_audit_committed() -> None:
         raise ValueError("threat model audit must not weaken the required sanitizer bundle")
     if disk["proposed_gate_v2"]["status"] != "proposal_only_not_active":
         raise ValueError("the proposed gate must remain a proposal")
+    if disk["closure"]["original_h16_scan_overclaimed_twelve_contexts"] is not True:
+        raise ValueError("the original H16 12-context overclaim must remain recorded")
+    if disk["closure"]["shaping_contexts_scanned"] != 1:
+        raise ValueError("the original H16 scan executed one context")
+    if disk["proposed_gate_v2"]["formalized_as"] != "cycle8-publishability-gate-v2":
+        raise ValueError("H16 must point at the formal Gate v2 spec")
     if disk["closure"]["intersection_count"] != 0:
         raise ValueError("closure intersection must be empty")
     if disk["closure"]["shaping_invisible_outside_mn_cf"] != []:
diff --git a/fuckmark/cycle8_gate_v2_confirmation_hf.py b/fuckmark/cycle8_gate_v2_confirmation_hf.py
new file mode 100644
index 00000000..d6c19ca8
--- /dev/null
+++ b/fuckmark/cycle8_gate_v2_confirmation_hf.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+from .config import canonical_json_text
+from .cycle8.gate_v2 import (
+    CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION,
+    CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT,
+    GATE_V2_ARM_IDS,
+    GATE_V2_CONFIRMATION_SEED_BASES,
+    GATE_V2_MIX_ARM_ID,
+    GATE_V2_SCORED_SANITIZER_IDS,
+    assert_gate_v2_confirmation_generation_seed,
+    gate_v2_confirmation_artifact_path,
+    sanitize_gate_v2_variant,
+)
+from .cycle8.decision import classify_scale_detector_compare
+from .cycle8_hf import run_cycle8_detector_compare
+from .durable_io import write_canonical_json_fsynced
+from .seeds.ledger import CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, CYCLE8_SCALE_VALIDATION_SEED_BASE
+
+
+def run_cycle8_gate_v2_confirmation_detector_compare(
+    *,
+    device: str = "cpu",
+    seed_base: int,
+    pair_count: int = CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT,
+    max_attempts: int = 64,
+) -> dict[str, object]:
+    assert_gate_v2_confirmation_generation_seed(seed_base)
+    return run_cycle8_detector_compare(
+        device=device,
+        seed_base=seed_base,
+        pair_count=pair_count,
+        max_attempts=max_attempts,
+        arm_ids=GATE_V2_ARM_IDS,
+        sanitizer_ids=GATE_V2_SCORED_SANITIZER_IDS,
+        sanitize=sanitize_gate_v2_variant,
+        algorithm_version=CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION,
+        allow_gate_v2_confirmation=True,
+    )
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(prog="fuckmark-cycle8-gate-v2-confirmation-detector")
+    parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu")
+    parser.add_argument("--seed-base", type=int, required=True)
+    parser.add_argument("--pair-count", type=int, default=CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT)
+    parser.add_argument("--max-attempts", type=int, default=64)
+    parser.add_argument("--detector-json", type=Path, default=None)
+    args = parser.parse_args(argv)
+    if args.seed_base in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES:
+        raise ValueError("spent mix-freeze confirmation seeds must not be reused")
+    if args.seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("do not generate 950000")
+    if args.seed_base not in GATE_V2_CONFIRMATION_SEED_BASES:
+        raise ValueError("seed_base is not a Gate v2 confirmation seed")
+    if args.detector_json is None:
+        args.detector_json = Path(gate_v2_confirmation_artifact_path(args.seed_base))
+    if args.detector_json.exists():
+        raise ValueError("Gate v2 confirmation artifact already exists; do not rerun looking for zero")
+    detector = run_cycle8_gate_v2_confirmation_detector_compare(
+        device=args.device,
+        seed_base=args.seed_base,
+        pair_count=args.pair_count,
+        max_attempts=args.max_attempts,
+    )
+    args.detector_json.parent.mkdir(parents=True, exist_ok=True)
+    write_canonical_json_fsynced(args.detector_json, detector)
+    decision = classify_scale_detector_compare(
+        detector,
+        transformed_arm_id=GATE_V2_MIX_ARM_ID,
+    )
+    write_canonical_json_fsynced(args.detector_json.parent / "decision.json", decision)
+    print(canonical_json_text(decision), flush=True)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py
index 0fec24a0..e6d158f3 100644
--- a/fuckmark/cycle8_hf.py
+++ b/fuckmark/cycle8_hf.py
@@ -49,6 +49,7 @@
     CYCLE8_MIX_SCALE_REPLICATION_ROLE,
     CYCLE8_MIX_SCALE_REPLICATION_TOPIC,
     CYCLE8_CONFIRMATION_RESERVED_ROLE,
+    CYCLE8_GATE_V2_CONFIRMATION_ROLE,
     CYCLE8_VALIDATION_ROLE,
     CYCLE8_VALIDATION_TOPIC,
     assert_cycle8_development_seed,
@@ -125,6 +126,16 @@ def _score_stats(selected, variant):
         "nfc_watermarked_detected": (
             _count(watermarked, "nfc", "detected") if watermarked and "nfc" in watermarked[0]["sanitizers"] else None
         ),
+        "sanitizer_watermarked_detected": (
+            {variant: _count(watermarked, variant, "detected") for variant in watermarked[0]["sanitizers"]}
+            if watermarked
+            else {}
+        ),
+        "sanitizer_unwatermarked_detected": (
+            {variant: _count(unwatermarked, variant, "detected") for variant in unwatermarked[0]["sanitizers"]}
+            if unwatermarked
+            else {}
+        ),
         "raw_watermarked_mean_score": raw_wm["mean"],
         "raw_watermarked_median_score": raw_wm["median"],
         "raw_watermarked_min_score": raw_wm["min"],
@@ -197,7 +208,14 @@ def _topic_for_seed(seed_base: int) -> str:
         if not isinstance(topic, str) or not topic:
             raise ValueError("confirmation seed has no generation topic")
         return topic
-    raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, letter-benchmark, margin, mix, or mix-confirmation seeds")
+    if role == CYCLE8_GATE_V2_CONFIRMATION_ROLE:
+        from .seeds.ledger import row_for_seed_base
+
+        topic = row_for_seed_base(seed_base)["generation_topic"]
+        if not isinstance(topic, str) or not topic:
+            raise ValueError("Gate v2 confirmation seed has no generation topic")
+        return topic
+    raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, letter-benchmark, margin, mix, mix-confirmation, or gate-v2-confirmation seeds")
 
 
 def _generate_cycle8_samples(
@@ -207,11 +225,18 @@ def _generate_cycle8_samples(
     *,
     pair_count: int | None = None,
     allow_confirmation: bool = False,
+    allow_gate_v2_confirmation: bool = False,
 ) -> tuple[dict[str, object], ...]:
     role = role_for_seed_base(seed_base)
     if role is None:
         raise ValueError("seed_base is not in the Cycle 8 ledger")
-    if allow_confirmation:
+    if allow_gate_v2_confirmation and allow_confirmation:
+        raise ValueError("mix-freeze confirmation and Gate v2 confirmation are distinct protocols")
+    if allow_gate_v2_confirmation:
+        from .cycle8.gate_v2 import assert_gate_v2_confirmation_generation_seed
+
+        assert_gate_v2_confirmation_generation_seed(seed_base)
+    elif allow_confirmation:
         from .cycle8.mix_freeze import assert_cycle8_mix_confirmation_generation_seed
 
         assert_cycle8_mix_confirmation_generation_seed(seed_base)
@@ -415,13 +440,20 @@ def run_cycle8_detector_compare(
     sanitize=sanitize_cycle7_variant,
     algorithm_version: str = CYCLE8_DETECTOR_VERSION,
     allow_confirmation: bool = False,
+    allow_gate_v2_confirmation: bool = False,
 ) -> dict[str, object]:
     from .cycle7_stage_a_hf import _adapter_and_tokenizer
 
     role = role_for_seed_base(seed_base)
     if role is None:
         raise ValueError("seed_base is not in the Cycle 8 ledger")
-    if allow_confirmation:
+    if allow_gate_v2_confirmation and allow_confirmation:
+        raise ValueError("mix-freeze confirmation and Gate v2 confirmation are distinct protocols")
+    if allow_gate_v2_confirmation:
+        from .cycle8.gate_v2 import assert_gate_v2_confirmation_generation_seed
+
+        assert_gate_v2_confirmation_generation_seed(seed_base)
+    elif allow_confirmation:
         from .cycle8.mix_freeze import assert_cycle8_mix_confirmation_generation_seed
 
         assert_cycle8_mix_confirmation_generation_seed(seed_base)
@@ -434,6 +466,7 @@ def run_cycle8_detector_compare(
         max_attempts,
         pair_count=pair_count,
         allow_confirmation=allow_confirmation,
+        allow_gate_v2_confirmation=allow_gate_v2_confirmation,
     )
     geometry_rows, scored_rows, summaries = _evaluate_samples(
         samples,
diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py
index 36d8a239..1ff3a0e1 100644
--- a/fuckmark/seeds/__init__.py
+++ b/fuckmark/seeds/__init__.py
@@ -27,6 +27,14 @@
     CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC,
     CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE,
     CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
+    CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC,
     CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -45,6 +53,8 @@
     assert_new_cycle8_mix_generation_seed,
     assert_new_cycle8_deepmind_transfer_generation_seed,
     assert_new_cycle8_second_model_transfer_generation_seed,
+    assert_new_cycle8_control_mix_generation_seed,
+    assert_new_cycle8_gate_v2_confirmation_generation_seed,
     assert_new_cycle8_scale_generation_seed,
     assert_seed_not_confirmation_content,
     global_seed_ledger_hash,
@@ -82,6 +92,14 @@
     "CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC",
     "CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE",
     "CYCLE8_SECOND_MODEL_TRANSFER_TOPIC",
+    "CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE",
+    "CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC",
+    "CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE",
+    "CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC",
+    "CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE",
+    "CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC",
+    "CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE",
+    "CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC",
     "CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC",
@@ -100,6 +118,8 @@
     "assert_new_cycle8_mix_generation_seed",
     "assert_new_cycle8_deepmind_transfer_generation_seed",
     "assert_new_cycle8_second_model_transfer_generation_seed",
+    "assert_new_cycle8_control_mix_generation_seed",
+    "assert_new_cycle8_gate_v2_confirmation_generation_seed",
     "assert_new_cycle8_scale_generation_seed",
     "assert_seed_not_confirmation_content",
     "global_seed_ledger_hash",
diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py
index c35c7e06..40d72bbe 100644
--- a/fuckmark/seeds/ledger.py
+++ b/fuckmark/seeds/ledger.py
@@ -29,6 +29,9 @@
 CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_SEED_BASE = 1_080_000
 CYCLE8_SECOND_MODEL_TRANSFER_SEED_BASE = 1_090_000
 CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE = 1_100_000
+CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE = 1_200_000
+CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE = 1_210_000
+CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE = 1_220_000
 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling"
 CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication"
 CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation"
@@ -50,6 +53,10 @@
 CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC = "mix formal confirmation primary"
 CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC = "mix formal confirmation replication"
 CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC = "mix formal confirmation holdout"
+CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC = "gate v2 confirmation primary"
+CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC = "gate v2 confirmation replication"
+CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC = "gate v2 confirmation holdout"
+CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_TOPIC = CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC
 
 
 def _row(
@@ -132,6 +139,9 @@ def global_seed_rows() -> tuple[dict[str, object], ...]:
         _row(1080000, "cycle8", "deepmind_transfer_holdout", CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
         _row(1090000, "cycle8", "second_model_transfer", CYCLE8_SECOND_MODEL_TRANSFER_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000."),
         _row(1100000, "cycle8", "control_mix_exploratory_development", CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000."),
+        _row(1200000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation primary n=64. Detector-after-sanitizer protocol including lm-watermarking UnicodeSanitizer and carrier-free control. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
+        _row(1210000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation replication n=64. Independent of 1200000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
+        _row(1220000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation holdout n=64. Independent of 1200000 and 1210000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
         _row(1120000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1130000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1140000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
@@ -166,7 +176,9 @@ def global_seed_ledger_payload() -> dict[str, object]:
             "Seeds 1060000, 1070000, and 1080000 are reserved for independent "
             "DeepMind synthid-text 30-key mix transfer. "
             "Seed 1090000 is reserved for independent second-model mix transfer. "
-            "Seed 1100000 is reserved for independent control-mix sanitizer exploratory."
+            "Seed 1100000 is reserved for independent control-mix sanitizer exploratory. "
+            "Seeds 1200000, 1210000, and 1220000 are reserved for Gate v2 confirmation "
+            "before generation. Do not reuse 830000, 840000, or 850000. Do not generate 950000."
         ),
         "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES),
         "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES),
@@ -206,6 +218,12 @@ def global_seed_ledger_payload() -> dict[str, object]:
         "cycle8_second_model_transfer_topic": CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
         "cycle8_control_mix_exploratory_seed_base": CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
         "cycle8_control_mix_exploratory_topic": CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+        "cycle8_gate_v2_confirmation_primary_seed_base": CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+        "cycle8_gate_v2_confirmation_primary_topic": CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+        "cycle8_gate_v2_confirmation_replication_seed_base": CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+        "cycle8_gate_v2_confirmation_replication_topic": CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
+        "cycle8_gate_v2_confirmation_holdout_seed_base": CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+        "cycle8_gate_v2_confirmation_holdout_topic": CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC,
         "cycle8_mix_confirmation_primary_topic": CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
         "cycle8_mix_confirmation_replication_topic": CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
         "cycle8_mix_confirmation_hold_topic": CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -352,6 +370,26 @@ def assert_new_cycle8_second_model_transfer_generation_seed(seed_base: int) -> N
         raise ValueError("unseen validation seeds must not be used for development generation")
 
 
+def assert_new_cycle8_gate_v2_confirmation_generation_seed(seed_base: int) -> None:
+    require_int("seed_base", seed_base)
+    assert_seed_not_confirmation_content(seed_base)
+    row = row_for_seed_base(seed_base)
+    if seed_base == CYCLE8_SCALE_VALIDATION_SEED_BASE:
+        raise ValueError("scale validation seed is reserved until the U+034F x1 mechanism is frozen")
+    if seed_base not in {
+        CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+        CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+        CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    }:
+        raise ValueError("seed_base is not a Cycle 8 Gate v2 confirmation seed")
+    if row["eligible_for_confirmation"] is not True:
+        raise ValueError("Gate v2 confirmation seed is not eligible for confirmation")
+    if row["generated"] is True:
+        raise ValueError("Gate v2 confirmation seed already generated")
+    if row["scored"] is True:
+        raise ValueError("Gate v2 confirmation seed already scored")
+
+
 def assert_new_cycle8_control_mix_generation_seed(seed_base: int) -> None:
     require_int("seed_base", seed_base)
     assert_seed_not_confirmation_content(seed_base)
diff --git a/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
new file mode 100644
index 00000000..d7227063
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
@@ -0,0 +1 @@
+{"added_versus_h16_proposal":["ws_collapse_nfkc_cf_strip"],"addition_reason":"frozen Cycle 7 product-contract sanitizer omitted from the H16 draft","algorithm_version":"cycle8-publishability-gate-v2","approved_carriers_empty":true,"classifications":{"cf_strip":"frozen_product_requirement","default_ignorable_removal":"stress_only_not_frozen","homoglyphs":"unsupported","lm_watermarking_unicode_sanitizer":"real_deployed_preprocessing","nfc":"frozen_product_requirement","nfkc":"frozen_product_requirement","nfkc_cf_strip":"frozen_product_requirement","nonspacing_mark_removal":"stress_only_not_frozen","raw":"real_deployed_preprocessing","required_bundle":"known_destructive_countermeasure","truecase":"unsupported","ws_collapse":"frozen_product_requirement","ws_collapse_nfkc_cf_strip":"frozen_product_requirement"},"cli_identity":true,"condition":"detector(S(T(x))) remains negative for each required sanitizer S, while VISIBLE(x) == VISIBLE(T(x)) on every eligible row","confirmation_grade":false,"confirmation_protocol":{"arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifacts":["evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json"],"artifacts_present":false,"detector_algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","diagnostic_not_pass_conditions":["required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate"],"forbidden_seeds":[830000,840000,850000,950000,890000],"mechanism_id":"u034f-ufe00-letter-alt-v1","pair_count_per_seed":64,"pass_conditions":["pristine/identity watermarked detection stays at or above the preregistered floor","transformed mix watermarked detection is 0 after every required sanitizer","transformed mix unwatermarked detection is 0 on raw","exact visible invariance passes every mix watermarked row","frozen product-contract sanitizer arms remain 0 on mix watermarked rows","lm-watermarking UnicodeSanitizer mix watermarked detection is 0","carrier-free identity plus UnicodeSanitizer still detects strongly enough","results are written once and hashed; do not rerun looking for zero","cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here"],"rerun_looking_for_zero":false,"run_once":true,"scored_sanitizer_ids":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer","required_bundle"],"seed_bases":[1200000,1210000,1220000],"status":"preregistered_before_generation","thresholds":{"carrier_free_unicode_detected_min":96,"carrier_free_unicode_max_drop_from_identity":16,"identity_watermarked_detected_min":168,"mix_unwatermarked_detected_max":0,"mix_visible_pass_min":192,"mix_watermarked_detected_max":0},"topics":["gate v2 confirmation primary","gate v2 confirmation replication","gate v2 confirmation holdout"],"total_watermarked_rows":192},"decision":{"form":"detector_after_sanitizer","rationale":"The product objective is that detection remain negative after sanitizers a real detector pipeline can run, while exact visible text is preserved. Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The H12-H15 required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against Mn-strip and default-ignorable-strip is a stress test of carrier survival, not a product publishability requirement.","rejected_form":"carrier_fixed_point_of_every_sanitizer"},"diagnostic_sanitizers":["required_bundle"],"evidence_label":"HYPOTHESIS","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"stress_only_not_frozen in the frozen product contract; undeployable on ordinary multilingual text; not used by measured production detector tokenizers","fully_satisfied":false,"gate_hash":"ae34554f54db68732975d933a7a47fc29b779e6026d7e2f2162ef15c3a67f086","mix_sanitizer_gate_v1":"FAIL","notes":"Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on the Cycle 8 v1 publishability report stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests. Public CLI stays empty. Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000.","optional_unsupported":["homoglyphs","truecase"],"optional_unsupported_reason":"jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as WatermarkDetector(normalizers=['unicode']) defaults","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true,"required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer"],"status":"preregistered_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","fresh_unspent_confirmation_corpus","carrier_free_control_on_the_real_sanitizer","identity_detector_health"],"why_not_fully_satisfied":"the protocol is preregistered; confirmation-grade artifacts are not yet written"}
diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
index 11820b6e..fcd92c9b 100644
--- a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"control_mix_exploratory_seed_base":1100000,"control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"97e65dbb5c0cde0481e76e36c0ee032e51c75aad0c90189003368c1370e71110","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. Control-mix exploratory seed 1100000 and topic 'control mix sanitizer exploratory' were reserved in global-seed-ledger-v1 before control-mix generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
+{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"control_mix_exploratory_seed_base":1100000,"control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","gate_v2_confirmation_holdout_seed_base":1220000,"gate_v2_confirmation_holdout_topic":"gate v2 confirmation holdout","gate_v2_confirmation_primary_seed_base":1200000,"gate_v2_confirmation_primary_topic":"gate v2 confirmation primary","gate_v2_confirmation_replication_seed_base":1210000,"gate_v2_confirmation_replication_topic":"gate v2 confirmation replication","gate_v2_confirmation_seed_bases":[1200000,1210000,1220000],"generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"18a0d093044b20b78949f9e13fb230876b5051aa0a6cbd8e1d4456bc21a92fe6","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. Control-mix exploratory seed 1100000 and topic 'control mix sanitizer exploratory' were reserved in global-seed-ledger-v1 before control-mix generation. Gate v2 confirmation seeds 1200000, 1210000, and 1220000 and topics 'gate v2 confirmation primary', 'gate v2 confirmation replication', and 'gate v2 confirmation holdout' were reserved in global-seed-ledger-v1 before Gate v2 confirmation generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index 700fef6a..f89bc6d2 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"702ee4613e8573823ecf45b0b74a0a112c9891e39a16a73f5d09023ddb4745d7","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism, and the reason is structural rather than empirical. Across 286719 assigned code points and 12 shaping contexts, the Chromium pre font renders 396 code points invisibly and every one is Mn or Cf, which the required bundle strips by definition. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself, but run on carrier-free watermarked text it still detects 46 of 48, which attributes the drop to the carrier rather than to the sanitizer. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is not claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run, not a further carrier search. This record makes neither: the required bundle is unchanged, the proposal stays inactive, and mix stays FAIL.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"required_sanitizer_fixed_point_count":267550,"shaping_contexts_scanned":12,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The framing was not merely narrow, it was empty. Invisibility and required sanitizer survival are complementary by construction: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. No enumeration of code points, sequences or shaping contexts could have found a survivor, so the H9-H15 negatives measure the gate rather than Unicode.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"confound_ruled_out":"the real sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself; run on carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier","model":"openai-community/gpt2","per_variant":[{"carrier_free_detected":47,"restores_source":0,"variant":"raw","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"carrier_free_detected":46,"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that sanitizer costs only one row of detection power on its own. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_carrier_free_detected":46,"real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"32f30b69a07cf13a92c2c76b4242c54df103cf15de6818ae8b23d4a07e3eb83e","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism that is both shaping-invisible in the original H16 latin A/B oracle and a fixed point of the required bundle, and that A/B measurement found 396 invisible code points, all Mn or Cf. H16 advertised 12 shaping contexts but the committed scan executed only latin A/B; that overclaim is recorded here and the scan tool now iterates all 12 contexts. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space on the A/B oracle is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself, but run on carrier-free watermarked text it still detects 46 of 48, which attributes the drop to the carrier rather than to the sanitizer. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. The real-sanitizer condition is exploratory, so the gate is not claimed satisfied at confirmation grade. Gate v2 is now formalized as cycle8-publishability-gate-v2 and preregistered, not active. What remains is a fresh confirmation run on unspent seeds 1200000/1210000/1220000. This record does not product-authorize mix: the required bundle is unchanged, the v1 mix sanitizer gate stays FAIL, and the public CLI stays empty.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"original_h16_scan_context_ids":["latin"],"original_h16_scan_overclaimed_twelve_contexts":true,"product_shaping_context_ids":["latin","latin_lower","digit","space_left","space_right","start","end","punct"],"required_sanitizer_fixed_point_count":267550,"shaping_contexts_advertised":12,"shaping_contexts_scanned":1,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0,"twelve_context_rescan_status":"tool_corrected_measurement_pending"},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The original H16 scan measured one context, latin A/B, not the advertised 12. On that A/B measurement, invisibility and required-sanitizer survival are complementary: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. The 12-context claim was an overclaim (Codex P1). The scan tool now iterates all 12 advertised contexts; the corrected measurement is pending. H9-H15 negatives still measure the fixed-point gate rather than a missing English-ASCII product carrier on the A/B oracle.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","formalization_status":"preregistered_not_active","formalized_as":"cycle8-publishability-gate-v2","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"confound_ruled_out":"the real sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself; run on carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier","model":"openai-community/gpt2","per_variant":[{"carrier_free_detected":47,"restores_source":0,"variant":"raw","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"carrier_free_detected":46,"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that sanitizer costs only one row of detection power on its own. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_carrier_free_detected":46,"real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json
index a65eadb8..9fe2a66c 100644
--- a/specs/fuckmark-global-seed-ledger-v1.json
+++ b/specs/fuckmark-global-seed-ledger-v1.json
@@ -1 +1 @@
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Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"control mix sanitizer exploratory","notes":"Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"control_mix_exploratory_development","scored":true,"seed_base":1100000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer. Seed 1100000 is reserved for independent control-mix sanitizer exploratory."}
+{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"cycle8_control_mix_exploratory_seed_base":1100000,"cycle8_control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle8_deepmind_transfer_holdout_seed_base":1080000,"cycle8_deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","cycle8_deepmind_transfer_primary_seed_base":1060000,"cycle8_deepmind_transfer_primary_topic":"deepmind mix transfer primary","cycle8_deepmind_transfer_replication_seed_base":1070000,"cycle8_deepmind_transfer_replication_topic":"deepmind mix transfer replication","cycle8_density_exploratory_seed_base":960000,"cycle8_density_exploratory_topic":"carrier density follow-up","cycle8_gate_v2_confirmation_holdout_seed_base":1220000,"cycle8_gate_v2_confirmation_holdout_topic":"gate v2 confirmation holdout","cycle8_gate_v2_confirmation_primary_seed_base":1200000,"cycle8_gate_v2_confirmation_primary_topic":"gate v2 confirmation 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replication","cycle8_mix_primary_seed_base":1020000,"cycle8_mix_primary_topic":"letter mix margin development","cycle8_mix_replication_seed_base":1030000,"cycle8_mix_replication_topic":"letter mix margin replication","cycle8_mix_scale_primary_seed_base":1040000,"cycle8_mix_scale_primary_topic":"letter mix scale development","cycle8_mix_scale_replication_seed_base":1050000,"cycle8_mix_scale_replication_topic":"letter mix scale replication","cycle8_scale_exploratory_seed_base":930000,"cycle8_scale_exploratory_topic":"carrier scaling","cycle8_scale_replication_seed_base":940000,"cycle8_scale_replication_topic":"independent scale replication","cycle8_scale_validation_seed_base":950000,"cycle8_scale_validation_topic":"clean scale validation","cycle8_second_model_transfer_seed_base":1090000,"cycle8_second_model_transfer_topic":"second model mix transfer","ledger_hash":"66c616ff301310e315122ac5ca37c2453014fecf82e52aac70b8921ad4290810","publicly_exposed_unseen_invalid_seed_bases":[880000],"rows":[{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic schedule","notes":"Historic TinyDev schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":61000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev canonical attack base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":401000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev base.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":402000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"tiny-dev-v3","notes":"Budget-scaled coverage tiny-dev-v3 base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":410000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-effectiveness seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":420000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":430000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":440000,"spent":true},{"cycle":"calibration","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic calibration","notes":"Historic calibration base.","publicly_exposed":true,"role":"threshold_calibration","scored":true,"seed_base":500000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":530000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":540000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":550000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development 0/16. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":720000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":730000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":760000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"control mix sanitizer exploratory","notes":"Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"control_mix_exploratory_development","scored":true,"seed_base":1100000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation primary","notes":"Reserved before generation. Gate v2 confirmation primary n=64. Detector-after-sanitizer protocol including lm-watermarking UnicodeSanitizer and carrier-free control. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1200000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation replication","notes":"Reserved before generation. Gate v2 confirmation replication n=64. Independent of 1200000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1210000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation holdout","notes":"Reserved before generation. Gate v2 confirmation holdout n=64. Independent of 1200000 and 1210000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1220000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer. Seed 1100000 is reserved for independent control-mix sanitizer exploratory. Seeds 1200000, 1210000, and 1220000 are reserved for Gate v2 confirmation before generation. Do not reuse 830000, 840000, or 850000. Do not generate 950000."}
diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py
index b90f8b12..a7d0c471 100644
--- a/tests/test_cycle8_carriers.py
+++ b/tests/test_cycle8_carriers.py
@@ -76,6 +76,10 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert payload["second_model_transfer_seed_base"] == 1_090_000
     assert payload["control_mix_exploratory_seed_base"] == 1_100_000
     assert payload["control_mix_exploratory_topic"] == "control mix sanitizer exploratory"
+    assert payload["gate_v2_confirmation_primary_seed_base"] == 1_200_000
+    assert payload["gate_v2_confirmation_replication_seed_base"] == 1_210_000
+    assert payload["gate_v2_confirmation_holdout_seed_base"] == 1_220_000
+    assert payload["gate_v2_confirmation_seed_bases"] == [1_200_000, 1_210_000, 1_220_000]
     assert payload["deepmind_transfer_primary_topic"] == "deepmind mix transfer primary"
     assert payload["second_model_transfer_topic"] == "second model mix transfer"
     assert payload["confirmation_reserved_seed_bases"] == [830_000, 840_000, 850_000]
@@ -98,6 +102,8 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None:
     assert_cycle8_development_seed(1_080_000, role="deepmind_transfer_holdout")
     assert_cycle8_development_seed(1_090_000, role="second_model_transfer")
     assert_cycle8_development_seed(1_100_000, role="control_mix_exploratory_development")
+    with pytest.raises(ValueError, match="Gate v2 confirmation"):
+        assert_cycle8_development_seed(1_200_000, role="exploratory_development")
     with pytest.raises(ValueError):
         assert_cycle8_development_seed(760_000, role="exploratory_development")
     with pytest.raises(ValueError, match="publicly exposed|spent or reserved"):
diff --git a/tests/test_cycle8_gate_v2.py b/tests/test_cycle8_gate_v2.py
new file mode 100644
index 00000000..dc87a521
--- /dev/null
+++ b/tests/test_cycle8_gate_v2.py
@@ -0,0 +1,166 @@
+from pathlib import Path
+
+import pytest
+
+from fuckmark.cli import process_text
+from fuckmark.cycle8.control_carrier import required_sanitizers_keep
+from fuckmark.cycle8.gate_v2 import (
+    CYCLE8_PUBLISHABILITY_GATE_V2_HASH,
+    CYCLE8_PUBLISHABILITY_GATE_V2_PATH,
+    GATE_V2_CONFIRMATION_SEED_BASES,
+    GATE_V2_IDENTITY_WM_MIN,
+    GATE_V2_REQUIRED_SANITIZER_IDS,
+    GATE_V2_STATUS_PREREGISTERED,
+    GATE_V2_UNICODE_SANITIZER_ID,
+    assert_gate_v2_committed,
+    assert_gate_v2_confirmation_generation_seed,
+    build_gate_v2_confirmation_scorecard,
+    gate_v2_confirmation_artifacts_present,
+    gate_v2_payload,
+    load_gate_v2,
+    sanitize_gate_v2_variant,
+)
+from fuckmark.cycle8.ledger import assert_cycle8_development_seed
+from fuckmark.cycle8.publishability import measure_mix_fixtures
+from fuckmark.cycle8.threat_model_audit import lm_watermarking_unicode_sanitizer
+from fuckmark.hashing import sha256_json
+from fuckmark.product.visible_projection import product_approved_carriers_v1
+from fuckmark.seeds.ledger import (
+    CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+    CYCLE8_SCALE_VALIDATION_SEED_BASE,
+    assert_new_cycle8_gate_v2_confirmation_generation_seed,
+    row_for_seed_base,
+)
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def test_gate_v2_spec_is_committed_and_preregistered():
+    assert Path(CYCLE8_PUBLISHABILITY_GATE_V2_PATH).is_file()
+    assert_gate_v2_committed()
+    disk = load_gate_v2()
+    assert disk["gate_hash"] == CYCLE8_PUBLISHABILITY_GATE_V2_HASH
+    assert disk == gate_v2_payload()
+    assert disk["status"] == GATE_V2_STATUS_PREREGISTERED
+    assert disk["evidence_label"] == "HYPOTHESIS"
+    assert disk["confirmation_grade"] is False
+    assert disk["fully_satisfied"] is False
+    assert disk["product_authorized"] is False
+    assert disk["mix_sanitizer_gate_v1"] == "FAIL"
+    assert disk["required_sanitizer_bundle_not_weakened"] is True
+    assert gate_v2_confirmation_artifacts_present() is False
+
+
+def test_gate_v2_does_not_authorize_the_product():
+    assert product_approved_carriers_v1() == frozenset()
+    assert release_transform_registry().rules == ()
+    assert process_text("I do not agree.") == "I do not agree."
+
+
+def test_gate_v2_does_not_weaken_the_required_bundle():
+    assert required_sanitizers_keep("I\u034f do not agree.") is False
+    assert required_sanitizers_keep("I\ufe00 do not agree.") is False
+    measured = measure_mix_fixtures()
+    assert measured["frozen_sanitizer_survive"] == measured["frozen_sanitizer_total"]
+    assert measured["mn_strip_kills"] == measured["stress_total"]
+
+
+def test_gate_v2_seeds_are_reserved_unspent_and_unseen():
+    assert GATE_V2_CONFIRMATION_SEED_BASES == (
+        CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
+        CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
+        CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
+    )
+    for seed_base in GATE_V2_CONFIRMATION_SEED_BASES:
+        row = row_for_seed_base(seed_base)
+        assert row["generated"] is False
+        assert row["scored"] is False
+        assert row["spent"] is False
+        assert row["eligible_for_confirmation"] is True
+        assert row["eligible_as_unseen_validation"] is True
+        assert_gate_v2_confirmation_generation_seed(seed_base)
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(seed_base)
+        with pytest.raises(ValueError, match="Gate v2 confirmation"):
+            assert_cycle8_development_seed(seed_base, role="exploratory_development")
+    assert set(GATE_V2_CONFIRMATION_SEED_BASES).isdisjoint(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES)
+    assert CYCLE8_SCALE_VALIDATION_SEED_BASE not in GATE_V2_CONFIRMATION_SEED_BASES
+    assert 890000 not in GATE_V2_CONFIRMATION_SEED_BASES
+    with pytest.raises(ValueError, match="confirmation"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(830000)
+    with pytest.raises(ValueError, match="950000|frozen"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
+
+
+def test_gate_v2_form_is_detector_after_sanitizer():
+    payload = load_gate_v2()
+    assert payload["decision"]["form"] == "detector_after_sanitizer"
+    assert payload["decision"]["rejected_form"] == "carrier_fixed_point_of_every_sanitizer"
+    assert GATE_V2_UNICODE_SANITIZER_ID in payload["required_sanitizers"]
+    assert "ws_collapse_nfkc_cf_strip" in payload["required_sanitizers"]
+    assert payload["classifications"]["lm_watermarking_unicode_sanitizer"] == "real_deployed_preprocessing"
+    assert payload["classifications"]["nonspacing_mark_removal"] == "stress_only_not_frozen"
+    assert payload["classifications"]["default_ignorable_removal"] == "stress_only_not_frozen"
+    assert payload["classifications"]["required_bundle"] == "known_destructive_countermeasure"
+    assert payload["confirmation_protocol"]["thresholds"]["identity_watermarked_detected_min"] == GATE_V2_IDENTITY_WM_MIN
+    assert list(GATE_V2_REQUIRED_SANITIZER_IDS) == payload["required_sanitizers"]
+
+
+def test_gate_v2_unicode_sanitizer_matches_upstream_whitespaces_default():
+    import re
+
+    from fuckmark.cycle8.threat_model_audit import LM_WATERMARKING_UNICODE_SANITIZER_PATTERN
+
+    upstream = re.compile(
+        "[\u00A0\u1680\u180E\u2000-\u200B\u200C\u200D\u200E\u200F\u2060\u2063\u202F\u205F\u3000\uFEFF\uFFA0\uFFF9\uFFFA\uFFFB"
+        "\uFE00\uFE01\uFE02\uFE03\uFE04\uFE05\uFE06\uFE07\uFE08\uFE09\uFE0A\uFE0B\uFE0C\uFE0D\uFE0E\uFE0F\u3164\u202A\u202B\u202C\u202D"
+        "\u202E\u202F]"
+    )
+    for codepoint in range(0x10000):
+        character = chr(codepoint)
+        assert bool(upstream.search(character)) == bool(LM_WATERMARKING_UNICODE_SANITIZER_PATTERN.search(character))
+    assert lm_watermarking_unicode_sanitizer("A\u034fB") == "A\u034fB"
+    assert lm_watermarking_unicode_sanitizer("A\ufe00B") != "A\ufe00B"
+    assert sanitize_gate_v2_variant("raw", "I\u034f do not agree.") == "I\u034f do not agree."
+    assert sanitize_gate_v2_variant(GATE_V2_UNICODE_SANITIZER_ID, "A\ufe00B") != "A\ufe00B"
+    with pytest.raises(ValueError, match="unknown Gate v2 sanitizer"):
+        sanitize_gate_v2_variant("mn_strip", "I\u034f do not agree.")
+
+
+def test_shaping_scan_tool_iterates_all_advertised_contexts():
+    text = Path("tools/h16_shaping_closure_scan.py").read_text(encoding="utf-8")
+    assert "SHAPING_CONTEXTS" in text
+    assert "for context_id, left, right in SHAPING_CONTEXTS" in text
+    from fuckmark.cycle8.threat_model_audit import PRODUCT_SHAPING_CONTEXT_IDS, SHAPING_CONTEXTS
+
+    assert len(SHAPING_CONTEXTS) == 12
+    assert SHAPING_CONTEXTS[0] == ("latin", "A", "B")
+    ids = [context_id for context_id, _left, _right in SHAPING_CONTEXTS]
+    assert ids == [
+        "latin",
+        "latin_lower",
+        "digit",
+        "space_left",
+        "space_right",
+        "start",
+        "end",
+        "arabic",
+        "devanagari",
+        "cjk",
+        "hangul",
+        "punct",
+    ]
+    assert set(PRODUCT_SHAPING_CONTEXT_IDS) <= set(ids)
+
+
+def test_gate_v2_hash_is_canonical():
+    payload = gate_v2_payload()
+    body = {key: value for key, value in payload.items() if key != "gate_hash"}
+    assert payload["gate_hash"] == sha256_json(body)
+
+
+def test_gate_v2_scorecard_refuses_absent_artifacts():
+    assert gate_v2_confirmation_artifacts_present() is False
+    with pytest.raises(ValueError, match="not present"):
+        build_gate_v2_confirmation_scorecard()
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index 6eba7ab9..745e795d 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -53,6 +53,10 @@ def test_audit_does_not_authorize_a_product_mechanism():
     assert disk["required_sanitizer_bundle_not_weakened"] is True
     assert disk["spent_confirmation_corpora_not_reused"] is True
     assert disk["proposed_gate_v2"]["status"] == "proposal_only_not_active"
+    assert disk["proposed_gate_v2"]["formalized_as"] == "cycle8-publishability-gate-v2"
+    assert disk["closure"]["original_h16_scan_overclaimed_twelve_contexts"] is True
+    assert disk["closure"]["shaping_contexts_scanned"] == 1
+    assert disk["closure"]["shaping_contexts_advertised"] == 12
 
 
 def test_required_sanitizer_bundle_is_unchanged_by_this_cycle():
diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py
index d2f7b466..778c6d6f 100644
--- a/tests/test_global_seed_ledger.py
+++ b/tests/test_global_seed_ledger.py
@@ -35,6 +35,9 @@
     CYCLE8_SECOND_MODEL_TRANSFER_TOPIC,
     CYCLE8_CONTROL_MIX_EXPLORATORY_SEED_BASE,
     CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC,
+    CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC,
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
     CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC,
     CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,
@@ -52,6 +55,7 @@
     assert_new_cycle8_deepmind_transfer_generation_seed,
     assert_new_cycle8_second_model_transfer_generation_seed,
     assert_new_cycle8_control_mix_generation_seed,
+    assert_new_cycle8_gate_v2_confirmation_generation_seed,
     assert_new_cycle8_scale_generation_seed,
     assert_seed_not_confirmation_content,
     global_seed_ledger_hash,
@@ -122,6 +126,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
     assert 1040000 in bases and 1050000 in bases
     assert 1060000 in bases and 1070000 in bases and 1080000 in bases and 1090000 in bases
     assert 1100000 in bases
+    assert 1200000 in bases and 1210000 in bases and 1220000 in bases
     density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE)
     assert density["generated"] is True
     assert density["scored"] is True
@@ -238,3 +243,19 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
         assert_new_cycle8_control_mix_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
     with pytest.raises(ValueError, match="confirmation"):
         assert_new_cycle8_control_mix_generation_seed(830000)
+    primary = row_for_seed_base(1200000)
+    assert primary["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC == "gate v2 confirmation primary"
+    assert primary["generated"] is False
+    assert primary["scored"] is False
+    assert primary["eligible_for_confirmation"] is True
+    replica = row_for_seed_base(1210000)
+    assert replica["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC
+    holdout = row_for_seed_base(1220000)
+    assert holdout["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC
+    assert_new_cycle8_gate_v2_confirmation_generation_seed(1200000)
+    assert_new_cycle8_gate_v2_confirmation_generation_seed(1210000)
+    assert_new_cycle8_gate_v2_confirmation_generation_seed(1220000)
+    with pytest.raises(ValueError, match="confirmation"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(830000)
+    with pytest.raises(ValueError, match="frozen"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE)
diff --git a/tools/h16_shaping_closure_scan.py b/tools/h16_shaping_closure_scan.py
index 99b9e78f..3ce745e7 100644
--- a/tools/h16_shaping_closure_scan.py
+++ b/tools/h16_shaping_closure_scan.py
@@ -9,6 +9,8 @@
 from fuckmark.cycle8.threat_model_audit import (
     CHROMIUM_PRE_FONT,
     H16_RESEARCH_EXTRA_INSTALL,
+    PRODUCT_SHAPING_CONTEXT_IDS,
+    SHAPING_CONTEXTS,
     SHAPING_FALLBACK_FONTS,
     SHAPING_LEFT,
     SHAPING_RIGHT,
@@ -38,7 +40,15 @@ def __init__(self, path: str) -> None:
         self._glyph_set = font.getGlyphSet()
         self._cmap = font.getBestCmap() or {}
         self._ink_cache: dict[int, bool] = {}
-        self._baseline = self._shape(SHAPING_LEFT + SHAPING_RIGHT)
+        self._baseline_cache: dict[tuple[str, str], tuple[tuple[int, int], ...]] = {}
+
+    def _baseline_for(self, left: str, right: str) -> tuple[tuple[int, int], ...]:
+        key = (left, right)
+        cached = self._baseline_cache.get(key)
+        if cached is None:
+            cached = self._shape(left + right)
+            self._baseline_cache[key] = cached
+        return cached
 
     @property
     def path(self) -> str:
@@ -76,7 +86,7 @@ def _signature(self, run: tuple[tuple[int, int], ...]) -> tuple[int, tuple[int,
         return advance, inked
 
     def invisible(self, codepoint: int, left: str = SHAPING_LEFT, right: str = SHAPING_RIGHT) -> bool:
-        baseline = self._baseline if (left, right) == (SHAPING_LEFT, SHAPING_RIGHT) else self._shape(left + right)
+        baseline = self._baseline_for(left, right)
         return self._signature(self._shape(left + chr(codepoint) + right)) == self._signature(baseline)
 
 
@@ -105,19 +115,29 @@ def scan() -> dict[str, object]:
     survivors: list[dict[str, object]] = []
     invisible_codepoints: list[int] = []
     invisible_categories: dict[str, int] = {}
+    product_invisible_codepoints: list[int] = []
     assigned = 0
     sanitizer_survivors = 0
     intersection_categories: dict[str, int] = {}
+    context_invisible_counts: dict[str, int] = {context_id: 0 for context_id, _left, _right in SHAPING_CONTEXTS}
+    product_context_ids = set(PRODUCT_SHAPING_CONTEXT_IDS)
 
     for codepoint, character, category in iter_assigned_codepoints():
         assigned += 1
         keeps = required_sanitizers_keep(f"I{character} do not agree.")
         if keeps:
             sanitizer_survivors += 1
-        if not primary.invisible(codepoint):
+        invisible_here: list[str] = []
+        for context_id, left, right in SHAPING_CONTEXTS:
+            if primary.invisible(codepoint, left=left, right=right):
+                context_invisible_counts[context_id] += 1
+                invisible_here.append(context_id)
+        if not invisible_here:
             continue
         invisible_codepoints.append(codepoint)
         invisible_categories[category] = invisible_categories.get(category, 0) + 1
+        if any(context_id in product_context_ids for context_id in invisible_here):
+            product_invisible_codepoints.append(codepoint)
         if not keeps:
             continue
         intersection_categories[category] = intersection_categories.get(category, 0) + 1
@@ -127,6 +147,7 @@ def scan() -> dict[str, object]:
                 "category": category,
                 "default_ignorable": is_default_ignorable_v1(codepoint),
                 "mapped_in_chromium_pre_font": primary.maps(codepoint),
+                "invisible_context_ids": invisible_here,
                 "invisible_in_every_mapping_fallback": all(
                     oracle.invisible(codepoint) for oracle in fallbacks if oracle.maps(codepoint)
                 ),
@@ -143,9 +164,14 @@ def scan() -> dict[str, object]:
 
     return {
         "assigned_codepoints_scanned": assigned,
+        "shaping_contexts_scanned": [context_id for context_id, _left, _right in SHAPING_CONTEXTS],
+        "shaping_contexts_scanned_count": len(SHAPING_CONTEXTS),
+        "product_shaping_context_ids": list(PRODUCT_SHAPING_CONTEXT_IDS),
         "required_sanitizer_fixed_point_count": sanitizer_survivors,
         "shaping_invisible_count": len(invisible_codepoints),
+        "shaping_invisible_in_product_contexts_count": len(product_invisible_codepoints),
         "shaping_invisible_categories": dict(sorted(invisible_categories.items())),
+        "shaping_invisible_per_context": context_invisible_counts,
         "shaping_invisible_codepoints": [f"U+{value:04X}" for value in invisible_codepoints],
         "intersection_count": len(survivors),
         "intersection_categories": dict(sorted(intersection_categories.items())),
@@ -154,6 +180,7 @@ def scan() -> dict[str, object]:
         "cc_required_sanitizer_fixed_points": [f"U+{value:04X}" for value in control_survivors],
         "chromium_pre_font": CHROMIUM_PRE_FONT,
         "fallback_fonts": [oracle.path for oracle in fallbacks],
+        "original_h16_scan_was_latin_ab_only": True,
     }
 
 

From aed11b64d4ae9873ca10c7d5cbfc3a289ee2c0be Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 06:47:21 +0000
Subject: [PATCH 21/28] Record Gate v2 confirmation 0/192 and the 12-context
 rescan.

Seeds 1200000/1210000/1220000 were generated once under the preregistered detector-after-sanitizer protocol. Mix required-sanitizer WM is 0/192, mix UW 0/192, visible 192/192, identity 188/192, UnicodeSanitizer mix 0/192, carrier-free Unicode 182/192. Status is confirmed_not_product_authorized. The public CLI stays empty. Do not rerun looking for zero.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  |   7 +-
 README.md                                     |   2 +-
 docs/cycle8/README.md                         |   4 +-
 docs/cycle8/carrier-research.md               |   6 +-
 docs/cycle8/gate-v2.md                        |  49 +-
 docs/cycle8/seed-ledger.md                    |   7 +-
 docs/seeds.md                                 |   8 +-
 .../README.md                                 |  26 +
 .../SHA256SUMS.txt                            |   3 +
 .../decision.json                             |   1 +
 .../detector-compare.json                     |   1 +
 .../README.md                                 |  26 +
 .../SHA256SUMS.txt                            |   3 +
 .../decision.json                             |   1 +
 .../detector-compare.json                     |   1 +
 .../README.md                                 |  26 +
 .../SHA256SUMS.txt                            |   3 +
 .../decision.json                             |   1 +
 .../detector-compare.json                     |   1 +
 .../README.md                                 |  60 ++
 .../SHA256SUMS.txt                            |   2 +
 .../scorecard.json                            |   1 +
 evidence/h16-local/README.md                  |  12 +-
 .../h16-local/shaping-closure-12context.json  | 523 ++++++++++++++++++
 fuckmark/cycle8/gate_v2.py                    |  97 +++-
 fuckmark/cycle8/ledger.py                     |   4 +-
 fuckmark/cycle8/threat_model_audit.py         |  56 +-
 fuckmark/seeds/ledger.py                      |  16 +-
 ...le8-gate-v2-confirmation-scorecard-v1.json |   1 +
 ...uckmark-cycle8-publishability-gate-v2.json |   2 +-
 .../fuckmark-cycle8-seed-ledger-v2.json       |   2 +-
 ...fuckmark-cycle8-threat-model-audit-v1.json |   2 +-
 specs/fuckmark-global-seed-ledger-v1.json     |   2 +-
 tests/test_cycle8_gate_v2.py                  | 100 +++-
 tests/test_cycle8_threat_model_audit.py       |   4 +
 tests/test_global_seed_ledger.py              |  16 +-
 36 files changed, 957 insertions(+), 119 deletions(-)
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/decision.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/decision.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/README.md
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/decision.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json
 create mode 100644 evidence/cycle8-gate-v2-confirmation-2026-08-27/README.md
 create mode 100644 evidence/cycle8-gate-v2-confirmation-2026-08-27/SHA256SUMS.txt
 create mode 100644 evidence/cycle8-gate-v2-confirmation-2026-08-27/scorecard.json
 create mode 100644 evidence/h16-local/shaping-closure-12context.json
 create mode 100644 specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 17bc1114..29c6d4f8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,9 +2,10 @@
 
 ## Unreleased
 
-- Formalized Cycle 8 publishability Gate v2 as `cycle8-publishability-gate-v2`, status `preregistered_not_active`. The product form is detector-after-sanitizer, not carrier fixed-point survival of every sanitizer. Mn-strip and default-ignorable-strip stay recorded as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`. `required_sanitizers_keep` is not weakened. The v1 mix sanitizer gate stays FAIL. Public CLI stays empty.
-- Recorded that the original H16 shaping scan executed one latin `A`/`B` context, not the advertised 12. The 286719 / 396 / intersection 0 figures remain VERIFIED for that A/B oracle. The scan tool now iterates all 12 advertised contexts; the corrected measurement is pending and does not overwrite the frozen A/B artifact.
-- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation. Do not reuse `830000` / `840000` / `850000`. Do not generate `950000`.
+- Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Status `confirmed_not_product_authorized`. Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. The v1 mix sanitizer gate stays FAIL. Public CLI stays empty. Do not generate `950000`. Do not retag `v0.3.0`.
+- Formalized Cycle 8 publishability Gate v2 as `cycle8-publishability-gate-v2`. The product form is detector-after-sanitizer, not carrier fixed-point survival of every sanitizer. Mn-strip and default-ignorable-strip stay recorded as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`.
+- Recorded that the original H16 shaping scan executed one latin `A`/`B` context, not the advertised 12. The 286719 / 396 / intersection 0 figures remain VERIFIED for that A/B oracle. The scan tool now iterates all 12 advertised contexts. The corrected 12-context rescan is recorded: union 396, intersection 0, product-context union 396. It does not overwrite the frozen A/B artifact.
+- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation, then generated them once. Do not reuse `830000` / `840000` / `850000`. Do not generate `950000`.
 - Gate v2 required sanitizers include frozen Cycle 7 `ws_collapse_nfkc_cf_strip` and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain UNSUPPORTED.
 
 ## v0.3.0 — Visible invariance, install and release hardening
diff --git a/README.md b/README.md
index 190c3433..d08e1965 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ A later system benchmark reserved seeds `980000` and `990000` before generation
 
 Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero.
 
-Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. Publishability Gate v2 is preregistered on unspent seeds `1200000` / `1210000` / `1220000` and is not active. See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
+Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. Publishability Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED`: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192**. Status `confirmed_not_product_authorized`. Public CLI stays identity. Those Gate v2 seeds are spent. See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
 
 See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`.
 
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index d090698d..e03eb196 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -17,13 +17,13 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re
 
 ## Seed ledger
 
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` are reserved and ungenerated.
+See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` were generated once: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, carrier-free Unicode **182/192**. Those seeds are spent. Gate v2 is `confirmed_not_product_authorized`. Public CLI stays empty.
 
 ## Carrier research
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; Gate v2 is preregistered and not active. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; the 12-context rescan is recorded (union 396, intersection 0) and does not rewrite the A/B artifact. Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED` / `confirmed_not_product_authorized`. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index c81cd9df..3b2229c5 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -144,7 +144,7 @@ Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
 
 `VERIFIED` as an audit of the gate itself, not another carrier search. H9-H15 all returned negatives; H16 asks whether the gate that produced them is correct. It is not.
 
-**The search space was empty by construction on the executed A/B oracle.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points finds 396 invisible code points in the Chromium `pre` font between latin `A` and `B`. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets on that oracle. The intersection is 0. The original H16 write-up advertised 12 shaping contexts; the committed scan executed only latin `A`/`B` (Codex P1). That overclaim is recorded. The scan tool now iterates all 12 advertised contexts; the corrected 12-context measurement is pending and does not rewrite the frozen A/B artifact. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the A/B closure.
+**The search space was empty by construction on the executed A/B oracle.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points finds 396 invisible code points in the Chromium `pre` font between latin `A` and `B`. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets on that oracle. The intersection is 0. The original H16 write-up advertised 12 shaping contexts; the committed scan executed only latin `A`/`B` (Codex P1). That overclaim is recorded. The scan tool now iterates all 12 advertised contexts. The corrected 12-context rescan is recorded in `evidence/h16-local/shaping-closure-12context.json` and does not rewrite the frozen A/B artifact: union still 396, all Mn or Cf, intersection still 0; product-context union 396; arabic 390; digit/punct/start 395. Script contexts on DejaVu Sans Mono may be missing-glyph behavior. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the A/B closure.
 
 The other transformation classes close too. Substitution: 14 code points render as an ASCII space, all 14 NFKC-collapse to `U+0020`, none survives. Canonical re-encoding: the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The single remainder in all of Unicode is `Cc`, which ordinary-plain-text excludes — the H12 result, now shown to be unique rather than one option among many.
 
@@ -158,9 +158,9 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. That sanitizer collapses space runs and strips `Cc`, so it could have suppressed detection by itself; the carrier-free control rules that out, detecting 46/48. It costs one row of detection power on its own, so the drop to zero belongs to the carrier. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
 
-**Where the corrected gate stands.** Reading the existing frozen confirmation evidence against `proposed_gate_v2`: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. Every condition of the proposed gate now has a measurement, but the real-sanitizer one is exploratory, so the gate is **not** claimed satisfied at confirmation grade. What remains is a product decision plus a confirmation run — not a further carrier search, which the closure result rules out.
+**Where the corrected gate stands.** Reading the existing mix-freeze confirmation evidence against the frozen sanitizers: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. The real-sanitizer condition is now confirmation-grade on seeds `1200000` / `1210000` / `1220000`: mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**, visible **192/192**. Gate v2 is `confirmed_not_product_authorized`. That is not product authorization.
 
-`proposed_gate_v2` records a corrected boundary but is marked `proposal_only_not_active`. Gate v2 is now formalized as `cycle8-publishability-gate-v2` and preregistered on unspent seeds `1200000` / `1210000` / `1220000`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+`proposed_gate_v2` in the H16 audit spec remains `proposal_only_not_active` as a historical draft. Formal Gate v2 is `cycle8-publishability-gate-v2`, status `confirmed_not_product_authorized`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000` or `1200000` / `1210000` / `1220000`.
 
 Spec: `cycle8-threat-model-audit-v1` and `cycle8-publishability-gate-v2`. Evidence: `evidence/h16-local/`. Protocol: `docs/cycle8/gate-v2.md`.
 
diff --git a/docs/cycle8/gate-v2.md b/docs/cycle8/gate-v2.md
index 58a88904..962f8c38 100644
--- a/docs/cycle8/gate-v2.md
+++ b/docs/cycle8/gate-v2.md
@@ -1,8 +1,8 @@
 # Cycle 8 publishability Gate v2
 
-Status: `preregistered_not_active`. Evidence label: `HYPOTHESIS`. Not confirmation. Not product authorization.
+Status: `confirmed_not_product_authorized`. Evidence label: `VERIFIED`. Confirmation passed. Not product authorization. Public CLI remains empty.
 
-Gate v2 is a versioned publishability definition. It is not a claim that mix is solved, and it does not change the public CLI.
+Gate v2 is a versioned publishability definition. Confirmation does not enable the CLI.
 
 ## Decision
 
@@ -38,31 +38,38 @@ Gate v2 adds `ws_collapse_nfkc_cf_strip` versus the H16 draft. That arm is a fro
 
 Mn-strip and default-ignorable-strip remain recorded. They still restore mix. They are not treated as harmless.
 
-## Confirmation protocol
+## Confirmation result
 
-Reserved before generation, before any detector look:
+Reserved before generation, generated once, now spent:
 
-| seed | topic | role | n |
-| --- | --- | --- | --- |
-| 1200000 | `gate v2 confirmation primary` | confirmation | 64 |
-| 1210000 | `gate v2 confirmation replication` | confirmation | 64 |
-| 1220000 | `gate v2 confirmation holdout` | confirmation | 64 |
+| seed | topic | role | n | identity WM | mix required WM | mix UW | Unicode mix WM | carrier-free Unicode | mix max |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
+| 1200000 | `gate v2 confirmation primary` | confirmation | 64 | 64/64 | 0/64 | 0/64 | 0/64 | 61/64 | 0.519124 |
+| 1210000 | `gate v2 confirmation replication` | confirmation | 64 | 61/64 | 0/64 | 0/64 | 0/64 | 60/64 | 0.526739 |
+| 1220000 | `gate v2 confirmation holdout` | confirmation | 64 | 63/64 | 0/64 | 0/64 | 0/64 | 61/64 | 0.516419 |
+| **combined** | one-shot 3 x 64 | confirmation | 192 | **188/192** | **0/192** | **0/192** | **0/192** | **182/192** | **0.526739** |
 
-Do not use `830000` / `840000` / `850000`. Do not generate `950000`. Do not reuse exploratory seed `890000` as confirmation.
+Pass thresholds, frozen before scoring, all met:
 
-Pass thresholds, frozen before scoring:
-
-- identity / pristine watermarked detected `>= 168/192`
-- mix watermarked detected `= 0/192` after every required sanitizer
-- mix unwatermarked detected `= 0/192` on raw
+- identity / pristine watermarked detected `188/192` (`>= 168/192`)
+- mix watermarked detected `0/192` after every required sanitizer
+- mix unwatermarked detected `0/192` on raw
 - exact visible invariance `192/192` on mix watermarked rows
-- `lm_watermarking_unicode_sanitizer` mix watermarked detected `= 0/192`
-- carrier-free identity plus that real sanitizer `>= 96/192` and drop from identity `<= 16`
-- `required_bundle` is scored as a diagnostic, not a pass condition
-- existing DeepMind 30-key mix `0/192` on `1060000` / `1070000` / `1080000` remains the current cross-detector evidence and is not rescored here
+- `lm_watermarking_unicode_sanitizer` mix watermarked detected `0/192`
+- carrier-free identity plus that real sanitizer `182/192` (`>= 96/192`) and drop from identity `6` (`<= 16`)
+- `required_bundle` scored as a diagnostic (188/192; reconstructs the source), not a pass condition
+- existing DeepMind 30-key mix `0/192` on `1060000` / `1070000` / `1080000` remains the current cross-detector evidence and was not rescored here
+
+Run once. Do not rerun looking for zero. Do not retune on these rows. Do not use `830000` / `840000` / `850000`. Do not generate `950000`. Do not reuse exploratory seed `890000` as confirmation.
+
+Closest mix residual geometry only: `cycle8-1210000-52-general_explanatory-watermarked`, 47 insertions, score 0.526739. Residual text was not inspected.
 
-Run once. If the result is `1/N`, report `1/N`. Do not rerun looking for zero. Do not retune on these rows.
+Generic `classify_scale_detector_compare` still labels each corpus `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. That is the shared scale classifier, not the Gate v2 claim.
 
 Spec: `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json`.
 
-Runner: `python -m fuckmark.cycle8_gate_v2_confirmation_hf --seed-base 1200000`.
+Scorecard: `specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json`.
+
+Evidence: `evidence/cycle8-gate-v2-confirmation-2026-08-27/`.
+
+Runner: `python -m fuckmark.cycle8_gate_v2_confirmation_hf --seed-base 1200000` (refuses if the artifact already exists).
diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md
index d0207c94..6554c775 100644
--- a/docs/cycle8/seed-ledger.md
+++ b/docs/cycle8/seed-ledger.md
@@ -18,6 +18,7 @@ See also `docs/seeds.md`.
 | 820000 | Cycle 7 Stage B3 validation. Spent. |
 | 880000 | Cycle 7 Stage C reserved validation. **PUBLICLY_EXPOSED** by closed unmerged PR #98. Not eligible as unseen validation. |
 | 830000, 840000, 850000 | Cycle 8 mix freeze confirmation. Generated once. Spent. Mix 0/192. Do not retune. Do not rerun looking for zero. |
+| 1200000, 1210000, 1220000 | Cycle 8 Gate v2 confirmation. Generated once. Spent. Mix required-sanitizer WM 0/192. Do not retune. Do not rerun looking for zero. |
 | 890000, 900000, 910000 | Cycle 8 tiny n=4 already generated and scored. Spent as unseen validation. |
 
 ## Cycle 8 roles
@@ -49,8 +50,8 @@ See also `docs/seeds.md`.
 | DeepMind transfer holdout | 1080000 | deepmind mix transfer holdout | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
 | Second-model transfer | 1090000 | second model mix transfer | reserved before generation; DistilGPT2 n=16 HYPOTHESIS: identity 16/16, mix 0/16; not confirmation-scale |
 | Control-mix exploratory | 1100000 | control mix sanitizer exploratory | reserved before generation; independent H12 control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
-| Gate v2 confirmation primary | 1200000 | gate v2 confirmation primary | reserved before generation; n=64; not yet generated; do not retune after looking at scores |
-| Gate v2 confirmation replication | 1210000 | gate v2 confirmation replication | reserved before generation; n=64; not yet generated |
-| Gate v2 confirmation holdout | 1220000 | gate v2 confirmation holdout | reserved before generation; n=64; not yet generated |
+| Gate v2 confirmation primary | 1200000 | gate v2 confirmation primary | generated once under cycle8-publishability-gate-v2; identity 64/64, mix required 0/64, mix UW 0/64, Unicode mix 0/64, carrier-free 61/64, visible 64/64, mix max 0.519124; combined 0/192; spent |
+| Gate v2 confirmation replication | 1210000 | gate v2 confirmation replication | generated once; identity 61/64, mix required 0/64, mix max 0.526739; combined 0/192; spent |
+| Gate v2 confirmation holdout | 1220000 | gate v2 confirmation holdout | generated once; identity 63/64, mix required 0/64, mix max 0.516419; combined 0/192; spent |
 
 Do not promote any of these seeds into confirmation after seeing scores.
diff --git a/docs/seeds.md b/docs/seeds.md
index 7254e2c0..3f5f18fe 100644
--- a/docs/seeds.md
+++ b/docs/seeds.md
@@ -19,7 +19,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 - Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
 - Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
 - Seed `1100000` is reserved for independent H12 control-mix sanitizer exploratory n=16. Generated and scored: identity WM 15/16, control-mix WM 0/16. Do not treat the seen `920000` diagnostic as this corpus. Not confirmation.
-- Seeds `1200000`, `1210000`, and `1220000` are reserved for Gate v2 confirmation before generation. Detector-after-sanitizer protocol. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores.
+- Seeds `1200000`, `1210000`, and `1220000` were generated once as Gate v2 confirmation and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible 192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking for zero. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores.
 
 ## Cycle 8 scale reservation (before generation)
 
@@ -46,9 +46,9 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 | 1080000 | DeepMind transfer holdout | `deepmind mix transfer holdout` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
 | 1090000 | second-model transfer | `second model mix transfer` | reserved before generation; DistilGPT2 n=16 HYPOTHESIS identity 16/16 mix 0/16; not confirmation-scale |
 | 1100000 | control-mix exploratory | `control mix sanitizer exploratory` | reserved before generation; independent H12 Cc control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
-| 1200000 | Gate v2 confirmation primary | `gate v2 confirmation primary` | reserved before generation; n=64; detector-after-sanitizer including lm-watermarking UnicodeSanitizer and carrier-free control; not yet generated |
-| 1210000 | Gate v2 confirmation replication | `gate v2 confirmation replication` | reserved before generation; n=64; independent of 1200000; not yet generated |
-| 1220000 | Gate v2 confirmation holdout | `gate v2 confirmation holdout` | reserved before generation; n=64; independent of 1200000 and 1210000; not yet generated |
+| 1200000 | Gate v2 confirmation primary | `gate v2 confirmation primary` | generated once under cycle8-publishability-gate-v2; identity 64/64, mix required 0/64, mix UW 0/64, Unicode mix 0/64, carrier-free 61/64, visible 64/64, mix max 0.519124; combined 0/192; spent |
+| 1210000 | Gate v2 confirmation replication | `gate v2 confirmation replication` | generated once; identity 61/64, mix required 0/64, mix max 0.526739; combined 0/192; spent |
+| 1220000 | Gate v2 confirmation holdout | `gate v2 confirmation holdout` | generated once; identity 63/64, mix required 0/64, mix max 0.516419; combined 0/192; spent |
 
 ## Historical v1 Cycle 8 ledger
 
diff --git a/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/README.md b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..50077fe6
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/README.md
@@ -0,0 +1,26 @@
+# Cycle 8 Gate v2 confirmation detector (seed 1200000, 64 pairs)
+
+One-shot formal confirmation of `cycle8-publishability-gate-v2`. Seed `1200000` and topic `gate v2 confirmation primary` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero.
+
+Detector-after-sanitizer comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F/U+FE00 letter-alt v1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty.
+
+`decision.json` is the shared scale classifier and still says development classification. The Gate v2 confirmation claim is this README plus `cycle8-gate-v2-confirmation-scorecard-v1`.
+
+## Result
+
+| Arm | Identity / pristine WM | Mix required sanitizers WM | Mix UW | Visible mix WM | Carrier-free Unicode WM | Mix max |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| identity | 64/64 | n/a | 1/64 | 128/128 | 61/64 | n/a |
+| u034f-ufe00-letter-alt-v1 | n/a | **0/64** after every required sanitizer | **0/64** | **64/64** | n/a | 0.519124 |
+
+Required sanitizers on this corpus are all 0/64 mix WM: raw, nfc, nfkc, cf_strip, nfkc_cf_strip, ws_collapse, ws_collapse_nfkc_cf_strip, `lm_watermarking_unicode_sanitizer`. Diagnostic `required_bundle` is 64/64; it reconstructs the source and is not a pass condition.
+
+Closest mix watermarked row geometry only: `cycle8-1200000-29-technical_explanation-watermarked`, 192 insertions, score 0.519124, gap 0.037974 below threshold 0.557099. Residual text was not inspected to write lexical rules.
+
+Identity unwatermarked detections are 1/64 on this corpus. Mix unwatermarked detections are 0/64. Identity unwatermarked noise is control noise, not mix leakage.
+
+Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Maximum transformed GPT-2 token count on scored mix watermarked rows is 605/1024.
+
+Combined with independent confirmation seeds `1210000` and `1220000`: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible mix WM **192/192**, identity WM **188/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 from `1210000` (gap 0.030360). That combined 0/192 is the one-shot Gate v2 confirmation result.
+
+U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not reuse mix-freeze seeds `830000` / `840000` / `850000`.
diff --git a/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..5a9efc6b
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+694adbe93501cbcabcab828f54ad373e3b59117c72eba2f098d539e3c08578bf  README.md
+b917045a640fe981bc906df20b427fc4cbda3c4d4544f1e9054b47af07015820  decision.json
+eecb5b82922efa3d8ff8d8c70d10f4569d28fcd93156632c81bb480d4fa9dd9b  detector-compare.json
diff --git a/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/decision.json b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/decision.json
new file mode 100644
index 00000000..3fb62353
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/decision.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":64,"notes":"This is Cycle 8 scale development classification, not confirmation. U+034F is not product-authorized. Do not inspect 830000, 840000, or 850000. Seed 880000 is PUBLICLY_EXPOSED by PR #98. Do not generate 950000 yet.","product_gate":"VISIBLE_INVARIANT_PASS","reasons":["visible projection passed on all scored U+034F/U+FE00 letter-alt v1 rows","U+034F/U+FE00 letter-alt v1 reduced raw watermarked detections without raising unwatermarked detections","raw transformed watermarked detections are 0 on this corpus","Cf-strip detections match raw transformed detections","NFKC and whitespace-collapse detections match raw transformed detections","combined sanitizer detections match raw transformed detections"],"transformed_arm_id":"u034f-ufe00-letter-alt-v1","u034f_cf_strip_watermarked_detected":0,"u034f_nfkc_cf_strip_watermarked_detected":0,"u034f_nfkc_watermarked_detected":0,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":0,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":0,"u034f_ws_collapse_watermarked_detected":0,"visible_failures":0,"visible_pass_rate":"128/128"}
diff --git a/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json
new file mode 100644
index 00000000..8cc43089
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json
@@ -0,0 +1 @@
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Note that a single sentence may not work as a single step.\n\nThe second step is to apply an active gate v2 confirmation primary. The first step is to apply a gate v2 confirmation primary in","text_sha256":"571e92dbec943c0e30bea888b18db2e42c5e061e43c39576f50e7c7635877206"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1200000-08-general_explanatory-unwatermarked","seed":1200256,"text":" I want to be a scientist. I don't want to be a politician. I don't want to be a scientist. I don't want to be a journalist.\n\nIn this post I'm going to be writing a blog post about a field that I think was very important in the early 20th century.","text_sha256":"b865ff64d2e2cd6378c80db37034cde4bee17f9116bcd77c1059f706b1e6b320"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1200000-08-general_explanatory-watermarked","seed":1200256,"text":" Don't waste any time on the boring stuff.\n\nThe purpose of this section is not to discuss how gate v2 confirmation secondary matters, but rather to explain why gate v2 confirmation secondary matters are important in scientific work.\n\nA \"clear\" primary statement means that no one can prove the existence of the","text_sha256":"3e93d405ec39b8d2c93e2e04ff5f08b8ebab13e96bd97ed94992cc3cbba9d3d0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1200000-09-technical_explanation-unwatermarked","seed":1200288,"text":" The main idea is to give a confirmation of the primary and check a confirmation of the validation check. Then do another check. After checking both confirmations, check that the validation check is valid. If the validate check is invalid, the main idea is to check whether the validation check can be executed. If the validation check","text_sha256":"f401d2908fd004edaf44e1f8156cc48599a10bcec5b1249adb94c8e909a81d53"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1200000-09-technical_explanation-watermarked","seed":1200288,"text":" Let's begin with the main idea.\n\nLet's add a main idea with a validation check to the main idea.\n\ndef main(inputs): \"\"\" Inputs : [{'inputs': [1, 2, 3], 'inputs': [4, 5, 6], 'inputs","text_sha256":"0a4e60d4db7ebc7b195956399320ddfafa8c04674df9be0898f84f83f178c0e9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1200000-10-conversational_prose-unwatermarked","seed":1200320,"text":" Avoid the confusion by making the point clear about the reason for the confirmation. This is because the reason for the confirmation will probably vary from party to party, but the same thing will happen with this second opinion.\n\nIn the first instance the candidate is just asking the question the candidate is asking. A question that will","text_sha256":"32d27d50a1233be2bd2e276c0b0c4cff37146201eee2b99245c6c4c2318291a7"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1200000-10-conversational_prose-watermarked","seed":1200320,"text":" Use the same format for your conversation and use the same punctuation. Be sure to include the exact words of what you're asking.\n\nIf you're trying to teach a non-native speaker a useful lesson, you're going to be a little different.\n\nNow you know that there are different types of","text_sha256":"d9491f582267a09032f5d1fd94ae47854ab90336db01e9694abdb4bfb879152a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1200000-11-structured_instructional-unwatermarked","seed":1200352,"text":" If you have any questions or feedback please send them to the link above.\n\nCheck out the article on using a different method of verification:\n\nhttp://www.nps.gov/health/medicine/guidelines/guidelines_for_validating_guidelines.htm\n\nThe","text_sha256":"89f3f5c8218951565c08f3f6cc571939745e16d5c6b8feef03a673a0fa4f931a"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1200000-11-structured_instructional-watermarked","seed":1200352,"text":" In many cases, a small delay between the onset of a word and the onset of the complete sentence is sufficient to make it work. As the word has been worded, the initial word must be understood, or it will never be understood.\n\nThe most common use of the five steps is to describe a process","text_sha256":"09e4c67381dd1737fd915cf1c19b86d24f22af9af8286b68b95f054e697c1f04"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1200000-12-general_explanatory-unwatermarked","seed":1200384,"text":" If you cannot explain how the answer to the question is always clear, you can do it by rewriting your answer in a way that will make it intelligible to the general public. You can write as many sentences as you want and then rewrite them to make it readable to the general public.\n\nIf you want to","text_sha256":"d113911ae080cef09b978eb092e3b1e79c7a49e2543d68234b855cb5fac7247e"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1200000-12-general_explanatory-watermarked","seed":1200384,"text":" Use a single verb. In a sentence, do not repeat. Use the same word or phrase in both sentences.\n\nExample 3: Keyword Matching\n\nKeyword Matching is a very popular tool for measuring a specific set of words. It is a very simple tool with many different applications. It is","text_sha256":"31a9a239400fc824c21319c6f3e02e6589e73b1e1648be164a518c06b49bcf1d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1200000-13-technical_explanation-unwatermarked","seed":1200416,"text":" Example:\n\nYou can use the key-value exchange (KDV) feature to send a key to a server and only use the key-value exchange.\n\nThe key-value exchange should only work with the primary key of the server's keys. If the server's keys match, you will receive","text_sha256":"f66f4dd163a58d1d9992427a551712d74303de888901b1c82b761a8c708f2ad9"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1200000-13-technical_explanation-watermarked","seed":1200416,"text":" In this article, we will use the first example to demonstrate the value of the validate secondary validation.\n\nThe main idea is to validate the primary validation to allow the user to select a valid secondary validation. In this example, the validation is handled by the checker. This validation checker is called the validate secondary","text_sha256":"e0c111ce54b03902d353c37e85eac73110b04950b66c6f5f11f6b6a25e2650f5"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1200000-14-conversational_prose-unwatermarked","seed":1200448,"text":"\n\nIf the phrase is very brief and not in the traditional conversational style, then the sentence may need to be replaced.\n\nUse the following abbreviations to describe the language of the question:\n\nCABRATIA\n\nCABRATIA LANGUAGE\n\nCABR","text_sha256":"dd3f11b7edd71bf9f5a3234220acfbb5c34d6d5314b653ea72c17f9cde8769cf"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1200000-14-conversational_prose-watermarked","seed":1200448,"text":" This helps to get the reader interested in the meaning of the answer, while keeping the context clear. In the case of a question, this may be helpful, but it's also more of a problem when you're using words that get repetitive.\n\nThe most important factor is how much information you can put into the","text_sha256":"e919614c0a067af431b5c5be51b2fe00c4186ebb9137535a2ccdd4bfb11ad500"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1200000-15-structured_instructional-unwatermarked","seed":1200480,"text":"\n\n4. Use a list of the input words in the experiment for processing the input words.\n\n5. Use the list of input words and the final output word to apply the gate-v2.\n\n6. Use the final output word to apply the gate-v2.\n\n7.","text_sha256":"78f07d2b3e5ba06b3d03e1a528b2dbff7dcde74f9cc8e2f87bb076f5f93664b7"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1200000-15-structured_instructional-watermarked","seed":1200480,"text":"\n\n4. Use the same set of rules for processing the same data over and over. The rules can be used for several experiments, but each is more complex and more important.\n\n5. Use the same rules for processing the same data over and over. The rules can be used for several experiments, but","text_sha256":"c875bb480b5d02594e404bb1bdc14aaa176a223d714d9c5f112a7e2f5bd682d2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1200000-16-general_explanatory-unwatermarked","seed":1200512,"text":" In the last paragraph of the paragraph, summarize what it means to confirm by using a key word in an important scientific question.\n\n2.3.1. Keyword definitions\n\nThe following are the key words used in the most recent scientific work that have been included in this list:\n\n1. Key","text_sha256":"5cbb0a09293f3b2fd43440938cdbc5f74755055db1db73eb1176dd8f8f134f27"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1200000-16-general_explanatory-watermarked","seed":1200512,"text":" In fact, you should write a single paragraph in every paper. Use a sentence-by-sentence format. In a few words, write a sentence. Use a sentence-by-sentence format.\n\nWrite a summary. Write a summary.\n\nWrite a word test. Write a word test.","text_sha256":"f43ab19ebd38077be2676f9740dda109e5bc9ea44bf28602f8aa1e0917f546db"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1200000-17-technical_explanation-unwatermarked","seed":1200544,"text":"\n\n2.1: Open source software\n\nOpen source software is a field of study that has been successfully exploited by many different projects. In this course you will learn how to use Open Source Software as an application for the development of software applications. The course will cover the basic tools used in Open Source Software and","text_sha256":"2bbf056e49cf5462a05c6670c829ae8d53220cc2a9e0480f158b737af187b30a"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1200000-17-technical_explanation-watermarked","seed":1200544,"text":" Use a single validation check, an explicit validation, or both. The two can be added as independent variables for each check.\n\nExample 3: The \"key\" property can be used to provide an unvalidated string when inputting a password.\n\nExample 4: When the hash of the input string is","text_sha256":"087768b5cbfe55f0ad2f73044549ca3b6afdd28c1747b8880ed23caa6cf51446"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1200000-18-conversational_prose-unwatermarked","seed":1200576,"text":"\n\nThere are a lot of ways to test for a false positive result. It's important to take a test that tests your cognitive ability at the time.\n\nFor example:\n\nGive your colleague the chance to learn how to speak.\n\nYour colleague will have trouble understanding your words.\n\nYour","text_sha256":"fcf4600ef3bd6724ded8e359df276d0df4c84dd072f668ff48183f32e7dc99e3"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1200000-18-conversational_prose-watermarked","seed":1200576,"text":" Don't make a big deal about the content, just use it.\n\nDon't make a big deal about the content, just use it. Don't make any comments. Don't make any replies.\n\nDon't make any interruptions.\n\nDon't make any attempts to make your topic more complex","text_sha256":"5c57956c8e6a84c1247eafa09e46eca0b51f489e127dda9cac835dc6c0804d71"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1200000-19-structured_instructional-unwatermarked","seed":1200608,"text":"\n\nStep 1: Identify any possible nonlinearity\n\nWhen a sequence of words and sentences is applied, check the sequence and evaluate the results.\n\nThe sequence is written down as follows:\n\nn-1 2 3 n-2 n-3 n-4 3 n-5 4 n","text_sha256":"fa9e516793d5f4eea13ca705136bf0c9ddd8886fec7135de19345dfa3122cf71"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1200000-19-structured_instructional-watermarked","seed":1200608,"text":"\n\nFigure 1: Key terms and terms of the three-step instruction.\n\nFigure 2: Key terms for the three-step instruction.\n\nFigure 3: Key terms for the three-step instruction.\n\nFigure 4: Key terms for the three-step instruction.\n\nFigure 5: Key","text_sha256":"6132d222ec226753cb30dbbaf64b353330ec13a73bf8756eaccf79f87a3d35fe"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1200000-20-general_explanatory-unwatermarked","seed":1200640,"text":" If you need to know more about these things, please refer to my FAQ on gate v2 confirmation. I'm a researcher in the field of physics who has been studying the quantum field for the past decade. I've written on the matter for many publications, but I've never done any research into gate v2 confirmation","text_sha256":"649ef266b01cf78056bfac7ed330427232182b5623f02ef615f8ede796bfd64d"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1200000-20-general_explanatory-watermarked","seed":1200640,"text":" See http://m.purdue.edu/~pjohnson/papers/gate_v2_confirmation_main.html.\n\nExample 3: Why should the primary be the primary?\n\nExample 4: Why not a key signature?\n\nExample 5: Why not a key signature?","text_sha256":"5ae2a02b65f7327b5ca0526b0d9c0fdc65d7e2228d5df279eb1b3d512a2a0f03"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1200000-21-technical_explanation-unwatermarked","seed":1200672,"text":" Set a validation check for both the secondary and primary validation checks.\n\nIn summary, you need to use the main idea to prove that validation is in place and that validation is complete.\n\nIn the same way that you'll use a test for validity, you'll need to test for validation in software experiments.","text_sha256":"a3d9cb3af395985a45dc4f6122a7fe17271c79589403a2d7a8faca70f79efb03"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1200000-21-technical_explanation-watermarked","seed":1200672,"text":" Set a checkpoint for the primary and validation checkpoints. Let the test run until a validation check is completed. If no checkpoint is found, the test runs. If the validation check was successful, the test runs.\n\nConcepts\n\nA gate is a hardware or software device that provides gate power","text_sha256":"60352bc897798511ab1a637cdafa416881dbad8a4ab28dcc9261bcf10fdb71e6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1200000-22-conversational_prose-unwatermarked","seed":1200705,"text":" Remember, we don't need to know the actual key words that we want to say.\n\nWhen trying to communicate your intention to your partner, be sure to give your partner a reason (in whatever language is most natural to them), and keep the language that will help them get the information they want.\n\n","text_sha256":"2902ba3516332178eeea382f9ea351219485342eda98fde17dbb08e43e23dd3e"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1200000-22-conversational_prose-watermarked","seed":1200705,"text":" Remember, the answer is correct.\n\nKeep the questions simple. Avoid repeating them. Use the same answers to all your questions.\n\nUse the same questions to all your questions. Don't repeat an answer in a sentence. This will ruin your chances of getting a follow up message.\n\nThis will ruin","text_sha256":"2c147db94fe406235a3442d25556d35675ed1760c5f6700253205595ad432b00"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1200000-23-structured_instructional-unwatermarked","seed":1200736,"text":" Use a simple language to develop your knowledge about what's going on in the test and what it will help you do.\n\nLearning a new language makes it more difficult to understand the test, and that is a bad thing.\n\nYou need to learn all of the vocabulary, but your first three steps in writing","text_sha256":"d71d9ad5faf29be0ebe7330ad7edf9711e56eb5b141aef111f5d84b6065efe18"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1200000-23-structured_instructional-watermarked","seed":1200736,"text":" Use a simple but effective sentence to describe the state of the system. Use a clear rule for the selection of time frames, which is the \"time to see\". Use a simple rule to define the time frame (for example, the time to see the first entry of the program). Write your first sentence to describe what","text_sha256":"a0cf239b6af65e86a21a499ab0289c6cd0764edf0c6d4e23d19b1d85fbcdf240"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1200000-24-general_explanatory-unwatermarked","seed":1200768,"text":"\n\nNote: It is possible to generate a list of all the known information from the same data and have it be able to prove the fact that the same data has been processed by gate v2 confirmation secondary confirmation secondary confirmation secondary confirmation secondary confirmation\n\n(2) This paragraph is only used when the gate v2","text_sha256":"74f7d1af4bdccadbbd0ccc6161c9af769945d18ffcf862e7230f522972003355"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1200000-24-general_explanatory-watermarked","seed":1200768,"text":" Use the following definitions.\n\n\"It is not necessary that one or more physical signs be reported as having been received. One of the signs is the absence of any sign or signal that indicates that the agent has been detected.\"\n\n\"A signal that was detected but not transmitted by the agent is not considered to","text_sha256":"c2814b7285b0c66aaef9a6bfabdb930d955eaf0928dbe878a85acd595b56280e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1200000-25-technical_explanation-unwatermarked","seed":1200800,"text":"\n\nTest the theory and verify the theory, then write a proof of the theory using a proof-of-concept in a test-bed.\n\nWrite a proof-of-concept that proves that the proof is correct and that it has been confirmed, the validation check, and the proof.\n\nUse","text_sha256":"9fb281bee5fe05771b72fd4ebccca708aa9c18c44e234c31b3472a982e10bf7a"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1200000-25-technical_explanation-watermarked","seed":1200800,"text":"\n\nFigure 1: Key gate test and validation check.\n\nFigure 2: Key gate test and validation check.\n\nFigure 3: Key gate test and validation check.\n\nFigure 4: Key gate test and validation check.\n\nFigure 5: Key gate test and validation check.\n\nFigure 6","text_sha256":"58f434124ce1fc79fdc8b2cbc7c3a5a36f620d36a6b63972c852d9c86c1b84b1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1200000-26-conversational_prose-unwatermarked","seed":1200833,"text":"\n\nIt's not that simple. In fact, it's far more complex. Some people prefer to keep things simple, which can take some getting used to.\n\nBut, here's the thing. If you want to make your conversational prose more concise and more readable, you need to have a good understanding","text_sha256":"489989c8139d22d967e03229e942c46d0e1d1696233dbf8739b7ee2cf3ebf75a"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1200000-26-conversational_prose-watermarked","seed":1200833,"text":" Use a more appropriate translation of the message as you think it best fits.\n\nDo not try to be too self-conscious. It will just make things more difficult.\n\nDo not try to convince your co-workers to have a good time. It will simply reinforce the negative feedback and confuse you.\n","text_sha256":"8247e2b57feda18d3c589fe210ef35cf2e9fc3d702c41439cebe30caacde3694"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1200000-27-structured_instructional-unwatermarked","seed":1200864,"text":" Then, you must use the step to check if all other steps are valid.\n\nTo learn more, read the online course \"Steps in a Machine Learning Experiment\":\n\nhttp://www.techcrunch.com/learn-and-use-it-to-learn-and-use-it","text_sha256":"9f90be41032a641530e9a0270bce5bf559598af8b2b8285ddafd53c5a0959c7e"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1200000-27-structured_instructional-watermarked","seed":1200864,"text":" Then repeat the same step twice.\n\nFigure 10: The first step is to set a gate v2 confirmation primary.\n\nFigure 11: The second step is to set the first one.\n\nFigure 12: The third step is to create a gate v2 confirmation primary.\n\nFigure 13: The","text_sha256":"75323e7f41ed86feb5c141208252297a8255f1d94cb2c260c41af627d2e26ba7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1200000-28-general_explanatory-unwatermarked","seed":1200896,"text":" If you have a list of the most important things, do it. If not, do it.\n\nTo start, do this:\n\n[1]\n\n[2]\n\nIf the list doesn't exist, add a new line with a single slash. Use the following sentence as a starting point","text_sha256":"2591f7cdefe028147d6f27d92b9a9924278ee4163bca6295b742f3ee4170a278"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1200000-28-general_explanatory-watermarked","seed":1200896,"text":" Use a verb or sentence structure that has been clearly defined. If you are not sure, try using a verb or sentence structure, such as \"I said yes to it,\" or \"I said no to it.\" Explain what you are talking about. (See \"Where to start?\" in section 1.3.)\n","text_sha256":"cc0a63b29059e6ce829b036ac0625b4967dbd06ea7d35fab449e53f755b7715b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1200000-29-technical_explanation-unwatermarked","seed":1200929,"text":" A failure can be the failure of the test, the failure of the validation check, or the failure of the test itself. The problem is how to determine the validation of the validation check. A validation check should be performed in order of importance, and it should not be done after the test. The problem is that","text_sha256":"17918f233103e644c3354f5cf8d97c9ea6e7c8aaa5f7f1efd5d1e906ff1de72c"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1200000-29-technical_explanation-watermarked","seed":1200929,"text":" A failure is a test failure that does not show the proof of the software test. The main idea is to test the software test with a failure mode, so that one test can be checked in a single pass and the other in a single pass, while the test can also be checked in two or more passes.\n","text_sha256":"8ecd1e8cda3d05a5a8466d2f70b3aecc705bb3d5b949c65c31c692b66a5c51a0"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1200000-30-conversational_prose-unwatermarked","seed":1200960,"text":" Don't let it be too technical to explain all you need. Instead, ask questions that make sense to you. The key to your success will come from your understanding of a lot of different things and from the way in which the information is presented to you. Be able to answer as many questions as you want and be","text_sha256":"1ae4aea4c4906aeb371f89d702c3f294194c17737f021fe5146318f1464ba36a"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1200000-30-conversational_prose-watermarked","seed":1200960,"text":" Don't let anyone be too comfortable to assume you understand a thing or a question too well. Be patient and ask for an answer or an answer at the end. If a colleague asks you to explain a question or answer, just explain the answer to them and then ask them to explain the question.\n\n7.","text_sha256":"c202cec66241447d969745d044eda10dd7105643494edc127afdfd87b99c2234"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1200000-31-structured_instructional-unwatermarked","seed":1200992,"text":"\n\nWrite a short three-step instruction for applying gate v2 confirmation primary in an experiment. Use complete sentences and keep each step concrete. Use a single character to make a sentence.\n\nUse a single character to make a sentence. Write a short sentence. Write a sentence.\n\nWrite a short sentence","text_sha256":"f19b28e0b4f56a7e500700d9ad84891bf69c94c5efaa66ffdc242216a0b51a22"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1200000-31-structured_instructional-watermarked","seed":1200992,"text":"\n\nFigure 1\n\nThe steps described in this paper are repeated in the form of a sequence of simple steps. For example, for a quick example of the steps discussed in this paper, I used the simple step sequence for a simple experiment. This sequence describes the steps that can be done to verify that a gate","text_sha256":"c370fd68774fbcafce4747b1ce68f3be6a9b534a4585e6550660bbed334ffe92"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1200000-32-general_explanatory-unwatermarked","seed":1201024,"text":"\n\nThis is a good way of getting you started with some research, and hopefully help to improve your understanding of how the field of gateway science works.\n\nPlease note that this is just a summary of what I have learnt so far. If you have any questions or comments, please let me know, and I","text_sha256":"57d853dfa0ab15d2466d71d3ec96395113aa6e0c5ba3f1a52cd58a4d06e2bd25"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1200000-32-general_explanatory-watermarked","seed":1201024,"text":"\n\nThis is a good way of getting you started.\n\nYou can find out more about the Gate v2 procedure here.\n\nA single point of failure can cause a gate v2 confirmation secondary failure.\n\nWe'll take this example from the OpenSSL documentation.\n\n// First, define the","text_sha256":"e14542ca0f470d1a77c5d033648962ab7580b0f52bfc57081df370ca940ba032"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1200000-33-technical_explanation-unwatermarked","seed":1201056,"text":"\n\nIn addition to the general rule-of-thumb, the main principle of the proof of work is the fact that the proof must be complete. The first step is to validate the work. Then, the verification check must be run. The work can either be complete or complete only in the first step.","text_sha256":"4645df1872d1acc07c33b7cf78ac815a5b4e307b0b5fb04cfe7c8dfa32b10d96"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1200000-33-technical_explanation-watermarked","seed":1201056,"text":" This implementation was published in the PIC Open Data Journal (pdf) in 2000.\n\nAUTHOR\n\nH.E. Kuklos.\n\nSUBJECT\n\nBrief description of the present research.\n\nMETHODS\n\nIn the present research we investigated the validity of the primary","text_sha256":"44b7d2649f6255bc11e22ea673288917b6cb724dba88bae2e488d5ed6c0870f0"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1200000-34-conversational_prose-unwatermarked","seed":1201088,"text":"\n\nDon't say \"all of this is a problem\" when someone says \"it's a problem.\" A natural conversational prose is \"It's a problem.\"\n\nDo not say \"the system is fixed.\"\n\nDon't say \"he's not a fraud.\"\n\nDon't say \"this","text_sha256":"d8a9006ae7a6cc1baa55cf74e9f65c206d970271beb6897a74cb89cdb769cb6d"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1200000-34-conversational_prose-watermarked","seed":1201088,"text":" Use a nice, casual tone.\n\nDon't use English as a verb; instead, use \"thank you.\" It's not something you can always follow up on, because you're more likely to be able to answer questions that you don't understand. Instead, use English instead.\n\nDon't use a","text_sha256":"8fb3683fb88a26af26923375f9978503451a775d1401003570c138a53244b62c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1200000-35-structured_instructional-unwatermarked","seed":1201120,"text":"\n\nThe first step is to test the correctness of the results. First, choose the best passage. Try to use the best passage with a few sentences. The key point is to keep the sentence in the right order. A passage can't be just one sentence long.\n\nThe second step is to check that","text_sha256":"a1dea2c4655c418120f6cce8fcb53248a9eab8eda238dfbb96c13575f1d0c8af"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1200000-35-structured_instructional-watermarked","seed":1201120,"text":" Use a second or third step for a second step.\n\nIn this example, we'll perform a two-step step. We'll use a second step to connect two gates with a single positive gate, and a third step to connect two gates with a negative gate.\n\nThe first step takes two inputs,","text_sha256":"3dc8adc62076c86bf4242b1423535a09e68dadd98e35deb2484bcec9f5f8a34c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1200000-36-general_explanatory-unwatermarked","seed":1201152,"text":"\n\nWhen you are convinced, the only person who can read you is the person who has the ability to read you.\n\nYou might be able to read this as a \"my\" or \"my self\" paragraph; you are probably not. If you are confident, the only person who can read you is","text_sha256":"4c3e8a44cee6e1ede76bcdaedca983582a9494766d30bbb8df1076ee49e329ff"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1200000-36-general_explanatory-watermarked","seed":1201152,"text":" You'll probably be better off writing a sentence about gate v2.\n\nDo not try to explain to a child that their primary source of information about you is nonsense. You can be sure that the person who was talking to you was talking about you.\n\nIf you're a scientist, you'll probably have","text_sha256":"afffade91f4db79ce8e50b99377d97ce13c4c6fe567618737f12c9232ab8cd18"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1200000-37-technical_explanation-unwatermarked","seed":1201184,"text":" The main idea is to establish that a certain key is required in order for a message to be received. The validation check is then performed in reverse, and a message is sent back to the main message queue.\n\nThe main idea is to establish that a certain key is required in order for a message to be received","text_sha256":"1d46c814aad4c9699c952aa330ad48a70d4ec6f459b8454d3ae9a6f5b9b54380"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1200000-37-technical_explanation-watermarked","seed":1201184,"text":" Define an authentication method that performs a valid authentication check. Use a valid authentication system and a validation check to verify the validity of the verification. Provide a validation check that does not assume that the user has used a valid authentication system. Provide a validation check that does not assume that a valid authentication check has failed. Provide","text_sha256":"b81c39f0c56cc7dbc8540618a417b5bea847ecccac1a3cc7f5641aabee2b81bf"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1200000-38-conversational_prose-unwatermarked","seed":1201216,"text":"\n\n\"Why not just say 'Hello, Mr. Mather?' or 'Why can't you go to the gym?' \"\n\n\"If a person asks for more information, it's hard to explain why a person would want to do something they wouldn't normally do.\"\n\n\"If a person asks","text_sha256":"fead968c896e9e5f221d72d471ea237b1556107addda68094d12062361ea575c"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1200000-38-conversational_prose-watermarked","seed":1201216,"text":" Don't use verbs that are not part of the verb itself, or that are used in some other way than in the verb itself.\n\nAvoid using a verb or term that comes to mind more than once. If you're doing a good job of explaining a topic, you will probably end up with a lot of","text_sha256":"8e29bb2a9071c2f121d86475440a71ccdea7a254bc47cb8785da79b96d0c9cad"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1200000-39-structured_instructional-unwatermarked","seed":1201248,"text":"\n\nIn this lesson, we'll explore how to apply the gate v2 confirmation primary in the following ways:\n\n1. Use the gate v2 confirmation primary in a test\n\n2. Use the gate v2 confirmation primary in a test 3. Use the gate v2 confirmation primary in a test\n","text_sha256":"668b192d5085fb28e9c5a9211bb06fa87a2e76fa42a7556e3dc852f7a6ba7e66"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1200000-39-structured_instructional-watermarked","seed":1201248,"text":"\n\nThis code is a simplified example of the application of Gate v2 confirmation secondary in a test of a single gate v1. You will be able to see that a step can be applied for any gate v1, or even a gate v2 secondary, to any of the following conditions:\n\nVerifying","text_sha256":"b084ce70c7eda6aae3780246decdf71759756c486f03fb05cbe10374523f2647"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1200000-40-general_explanatory-unwatermarked","seed":1201280,"text":"\n\n[1] In the first paragraph, I was just trying to clarify an important point:\n\nFor gate v2 confirmation primary matters in careful scientific work, one paragraph is sufficient (assuming a strong case) for the primary reason and one paragraph is sufficient (assuming the case was a strong one) for the","text_sha256":"aa37272ff89d2baff32f52069c06d79c2872c7eacafc98205c530b811ed95911"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1200000-40-general_explanatory-watermarked","seed":1201280,"text":" Use a clear list of all your important questions, even if you are too long to provide a long answer. When you are working with an audience you can be pretty good with it.\n\nDon't forget to use the words that make up your words. Use them sparingly, and don't use them in a","text_sha256":"19224d48b24492ae27e361d16bb6052bac94696fafb8886a4d7879df14260f64"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1200000-41-technical_explanation-unwatermarked","seed":1201312,"text":" Then define validation checks to verify the validation of the validation of the validation. Then add checkboxes to the verification checkbox. The validation checkbox is defined in a function which is called after the validation of the validation check.\n\nThe main argument is a header file, such as the following:\n\n{-","text_sha256":"c6225c16bad39ed55c215084631b167cf4d8a906d80055474b214dddc3071748"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1200000-41-technical_explanation-watermarked","seed":1201312,"text":" You should try to implement one of these modes. For example, if you have a failed validation check, you may use a checker to check the primary:\n\ndef verify_secondary(main): if main.main_error: if main.main_error.value: pass def verify_secondary(main","text_sha256":"24ffec1dba34b760ec211732e29ed7c479e96cf00d4c61a35a4298bb996e2a4e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1200000-42-conversational_prose-unwatermarked","seed":1201344,"text":" It is not possible to create a \"good\" answer to a question that you don't understand. Use words of common sense.\n\nFor example: \"Do you know what my family name is?\" The main difference is you can answer that question using a more common-sounding name, without making a statement like \"","text_sha256":"a1d43b47c0152c7e012b62f959b38887112b328f03f248a51d6fb21974cf3f04"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1200000-42-conversational_prose-watermarked","seed":1201344,"text":" Use a natural \"I understand it\". You may also want to use sentences which are concise.\n\nThe \"I understand\" question is really hard to answer if you have more than one person. It's easier to just say \"I understand\" and forget about it.\n\nDon't use a sentence that is","text_sha256":"86710ae97d8606d6e9627ace506ecd4c6f602226977ceb23df9b45b975fe5120"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1200000-43-structured_instructional-unwatermarked","seed":1201376,"text":" When you have a complete sentence, repeat it.\n\nThe first step is to try and get the key-value pairs that you used previously to evaluate the gate v2 confirmation key.\n\nIf the key-value pairs do not match, you can use the key-value pairs from the previous step. If","text_sha256":"7c0d08d78cd1318068d749562148cc55d3406f0a5d926ee4e48852f588eb5b8e"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1200000-43-structured_instructional-watermarked","seed":1201376,"text":" Use a second passphrase and write a three-step instruction for applying gate v2 confirmation primary in an experiment. Use complete sentences and keep each step concrete.\n\nStep 3: Apply a gate v1 confirmation secondary in a experiment. Use complete sentences, a second passphrase and write a three-step instruction for","text_sha256":"63ce8af54b2d7c991d9eecbeff14bbe43cd61eae4a0a2ce51dbad03d79438cea"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1200000-44-general_explanatory-unwatermarked","seed":1201408,"text":"\n\nThe first step to understanding the purpose and purpose of the field of gate v2 is to be able to understand and understand a field. The field, as a whole, is not a set of rules or rules-based mechanisms. The main thing that defines what a field looks like is the type of gate that","text_sha256":"376f9f33062a35d577abcd370f6af74603fa0948cb1f2535f131eb216e1b6434"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1200000-44-general_explanatory-watermarked","seed":1201408,"text":" Consider a very simple case, a case where the following rule was applied to a single case of the same nature:\n\nA case of a single nature, like a single gate, could not be a single case.\n\nIn fact, many such cases do not contain a single key. It is not uncommon for","text_sha256":"18810026b7de56acb7016cd0696dc8a972cda5f0e3bd11e30148ace7bbd0b720"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1200000-45-technical_explanation-unwatermarked","seed":1201440,"text":"\n\nThis explains the behavior of the gate, which in itself is called a validation check. If a check fails to validate the key, the validation check will fail. If it succeeds, the validation check will fail, and the value returned by the check will be converted to the key.\n\nThe validation check can","text_sha256":"fde039ed367980d490048452cb844118ea19f502cf0385a7574e03bc957501d9"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1200000-45-technical_explanation-watermarked","seed":1201440,"text":" Create validation checks for the key, the validation check for the value, the validation check for the value, and the validation check for the value of the key. Set the validation check for the key and validate the validation check for the value. For a complete example of how to set a validation check, see the section on","text_sha256":"f0f4263c6ef661e3b9bbdfaec75250d61eaaed7a7918bdeb7fba23b4c0229270"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1200000-46-conversational_prose-unwatermarked","seed":1201472,"text":"\n\nIn one sentence, keep a straight face and use the same phrase.\n\nIn another sentence, keep a straight face, keep a straight face and use the same phrase.\n\nIn the last sentence, keep a straight face and use the same phrase.\n\nIn the third sentence, keep a straight","text_sha256":"06e538b0d1709158eb9d4d302bad632ff9f686fdee9be2ba632ded24446121e0"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1200000-46-conversational_prose-watermarked","seed":1201472,"text":" Use a simple but informative English sentence and no \"fucking\" verbs.\n\nDo not use the term \"passionate\" in conversation or for any other purpose.\n\nNever use \"passionate\" in a sentence that is ambiguous.\n\nAvoid using verbs that are unrelated to any one specific subject","text_sha256":"504cfb779e1f82664af3061e0b3d9749ca02fc3034ae51419061a47e2186e024"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1200000-47-structured_instructional-unwatermarked","seed":1201504,"text":" Be creative.\n\n\"The only way to know if you are correct is to see the exact answer.\"\n\n- Dr. Alastair Hinchcliffe, founder of St. James's College, Oxford\n\nThe following is a list of some of the most common questions asked in the course of your test","text_sha256":"50398d71898e3d332613080edcb510c65a72550387e83ae4bff5437670fe428a"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1200000-47-structured_instructional-watermarked","seed":1201504,"text":" For example, when using a single step to complete two steps (e.g., on the left), you might add one step to a single step and add another step to the right. The step in the right is described as one step, the step in the left is described as two steps, and the step in","text_sha256":"3f3aa448ba3f3a7ddb599e2608f298cf2c65167b3d84db1c66342e691c96165b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1200000-48-general_explanatory-unwatermarked","seed":1201536,"text":"\n\nExample:\n\nConduct a search for 'Gate v2 confirmation' by the last week of May 2018. The results of the search are published in the British Medical Journal in April 2018. The key question, which is 'which gate does this result lead to', is:\n\nWhat is the probability","text_sha256":"cd659811a55de59a59f2b0854afce0bd41ef819531dc8509197de1583dba67c2"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1200000-48-general_explanatory-watermarked","seed":1201536,"text":"\n\nDo not try to summarize the information you are trying to explain in a concise way. It may not work.\n\nIt may not be correct, but it is important.\n\nYou are writing a complete, succinct, comprehensive summary of your problems.\n\nYou do not have the time to write this","text_sha256":"f4571c0243b7368fde16f890e84c1e56bdedd328fbc079d5bdeb79e36855ae41"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1200000-49-technical_explanation-unwatermarked","seed":1201568,"text":"\n\ndef test_user (): pass\n\nThis test is useful for checking that the user is connected to an account.\n\ndef test_user (): pass\n\nThis test is useful for checking that the user is connected to an account. Define the main idea, one failure mode, and one","text_sha256":"3f3069b6e69b73d9e17677451cad66b7489e34f606090df01b1aadd82573b90b"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1200000-49-technical_explanation-watermarked","seed":1201568,"text":"\n\ndef validate_gate_v2_check ( key , n ): if key is None : return None ' invalid ' if n is not None : return ' invalid ' return ' validate_gate_v2 ' . encode ( n )\n\nDefine validation checks that send the results of a primary test","text_sha256":"ff75c10d1f0c380929d1056e4c4427ee87bae60af9ac849749fcce872ec2c5e5"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1200000-50-conversational_prose-unwatermarked","seed":1201600,"text":"\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n\nKeyword: gate v2 confirmation\n","text_sha256":"54724a2a5e952fd3477178e18537400bf5aa6c3288cb06c64d8ce3588c577f1b"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1200000-50-conversational_prose-watermarked","seed":1201600,"text":" Don't leave up too much detail. Don't do so too often, or your boss won't care.\n\n5. Don't make the person seem like they don't have any idea what they're talking about.\n\nThis one is a lot more difficult than the others.\n\nDon't say,","text_sha256":"eeaa0aaebb0ef2f101daecdb60401f5cc6fdfba15d483b8a2b1f54300d2d8019"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1200000-51-structured_instructional-unwatermarked","seed":1201632,"text":"\n\nTo practice:\n\n2. Practice A\n\n3. Practice B\n\n4. Practice C\n\n5. Practice D\n\n6. Practice E\n\n7. Practice F\n\n8. Practice G\n\n9. Practice H\n\n10. Practice I\n\n11. Practice","text_sha256":"5979ce15e1dc87e4c775144913538bd6c08a3db76a279e30e86489470dc2de0a"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1200000-51-structured_instructional-watermarked","seed":1201632,"text":" You will learn that when there is a problem, you need to apply the logical sequence of steps for the problem.\n\nWhat to Do on a Tested State\n\nUse the following examples to show how to apply gate v2 confirmation primary in an experiment. The program is described below and can be used in any","text_sha256":"1e40c23980dd184b993e6a615fe57071a4694789b18f6009be25d560ccd39afd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1200000-52-general_explanatory-unwatermarked","seed":1201665,"text":" The first paragraph should be clear, unambiguous, and clear enough to explain why the primary is important. It can be made to seem like an abstract notion and not an actual thing. If you can't get around it, don't bother writing it. If you can't get around it, make it appear as an","text_sha256":"07c7f71bcf1bba3c53b1c8bce9052f0214ef6e9151751dfce2871334a8c1fda3"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1200000-52-general_explanatory-watermarked","seed":1201665,"text":" This helps to get things out of your head.\n\nIf you don't know how to write a paragraph, try writing a paragraph from the perspective of a student, colleague, or other student.\n\nNote: If you don't know how to write a paragraph, you may need to read this book on how","text_sha256":"2c6f8fa2a7419fb027ac0b9f213b251538a7b01635d49689bad2112e9eb18bee"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1200000-53-technical_explanation-unwatermarked","seed":1201696,"text":" This is done by writing an implementation of the main idea using a simple set of variables: (from left to right: (maxvalidate - 1 ) ) . We call this set of variables the validate test. This is a test for the correctness of the verification operation. If we get an error from the verification operation","text_sha256":"6f8c7c38982f3316d0178549ba25abd01f11eb4f97923c345ded9e5c53f30c50"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1200000-53-technical_explanation-watermarked","seed":1201696,"text":" This is done by passing the key of the validation check to a non-validating validation check. The validation check will use this key to verify that the key of the validation check is correct. The validation check will then pass the key of the validation check to the main validation check to confirm the main input.\n\n","text_sha256":"939173a9e705af1986f69621ee9c1c97799883c5312b0e816a3434a5e225a413"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1200000-54-conversational_prose-unwatermarked","seed":1201728,"text":"\n\nIn the case of the FCT, the FCT can be very difficult to explain. This is because the FCT is also very easy to read. This means you can read the FCT in a sentence for a long time. This makes it easy to understand why some people like to read the FCT","text_sha256":"cebf1340cba6d2969568c8c0760016586252fae256e455319ac4d62629d0ee35"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1200000-54-conversational_prose-watermarked","seed":1201728,"text":" You can also use language that is more easily understood and/or a bit more appropriate.\n\nIt can be hard for people to remember to use a combination of the two.\n\nIf you want to avoid getting caught up in the jargon, take a look at this article on what is a key difference between gate","text_sha256":"d8e455a745b30b3e1f246adec0d536648f552f208939030218b003fcd7288f02"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1200000-55-structured_instructional-unwatermarked","seed":1201760,"text":" In particular, the final instruction will have a clear definition of the primary. This can be useful for a teacher, or a group of students.\n\nIn addition to being applied, the instruction may be used in conjunction with the original test. The final instruction may be a short one-word text, or a written","text_sha256":"eab47f91fcc7e3d0152493ccd2cdf28fa6b83555ecdf601c36d2ec5fcc2af58e"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1200000-55-structured_instructional-watermarked","seed":1201760,"text":" In particular, use a single-word sequence of double-words, as it can make the whole program more efficient.\n\nHow to use the second step\n\nWhen the first step is applied, you are given a set of words with a specific order and the same order of letters. The first and last steps","text_sha256":"a0790a3f35b4fb5126eda5ebbb6595b69fe21cb64cf9a20ef040d782b53e9ef9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1200000-56-general_explanatory-unwatermarked","seed":1201792,"text":"\n\nWrite a concise, concise, and clear explanation of the relevant field of research in which a particular result (usually a novel) will be studied. Write a concise and concise explanation of the relevant field of research in which a particular result (usually a novel) will be studied.\n\nWrite a concise and clear","text_sha256":"7662c6797049773858bb6c51de455ad05426f4b89389deb81dcb775f42587e4f"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1200000-56-general_explanatory-watermarked","seed":1201792,"text":"\n\n\nIn other words, if a gate is \"already confirmed\" in your field of expertise (say it in a way that makes it more likely to be used by the public, or in a way that makes it more likely to be used by others), you should not write a book about it.\n\n","text_sha256":"cbe7626efd3103efc76d2622935c95fa94d10fb7e40e13dc039bd2c9ef4ad52d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1200000-57-technical_explanation-unwatermarked","seed":1201824,"text":" We will discuss other features and pitfalls of the first validation and verifyment.\n\nExample\n\nThis is a simple proof that a validator can prove that a valid proof cannot be false in a proof with a negative proof, without any intermediate verification of the proof.\n\nWe will define a simple proof that a","text_sha256":"52b83529496e65ef0afd41dbd089f4872edc8d21f51e266747eae8f95eb658c8"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1200000-57-technical_explanation-watermarked","seed":1201824,"text":" You can also use any of the following criteria:\n\nFailures at the checkpoint\n\nFailing validation check\n\nMultiple validation checks\n\nFailure in a separate step\n\nThe first criteria is the main idea and the validation check is the primary reason for failing validation check.\n\nA validation check is","text_sha256":"3c753a80bfe6c41431a4b2179de7fe4d08f08728e38c755e0fcde42a4b72a9b9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1200000-58-conversational_prose-unwatermarked","seed":1201856,"text":"\n\nTry to stay away from the word \"rumor.\" Use logical and logical jargon to get across the point.\n\nBe honest about your expectations. Have fun with your questions.\n\nTalk a lot about your feelings.\n\nStay out of the way of everyone else's worries.\n\nBe polite","text_sha256":"273d37faf33cecd215256cd6de8044ae42472776195d3a93e43440267f9f7aa1"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1200000-58-conversational_prose-watermarked","seed":1201856,"text":" Use a simple but effective set of prepositions to help your interviewer get the person they're looking for.\n\nYour interviewer may ask about the new feature at the beginning of the interview.\n\nIf the interviewer says something like \"We need to use our existing system for authentication,\" try to explain that it will","text_sha256":"8a7f89c0ca1adb50e5eae7c26d309877882fd0240f347940a661ca1df84bf591"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1200000-59-structured_instructional-unwatermarked","seed":1201888,"text":"\n\nUsing a program to analyze a block diagram, take a step and make corrections to it.\n\nUse a program to apply the correct rules in an experiment. Use final steps.\n\nUse a program to apply the correct rules in an experiment. Use final steps.\n\nUse a program to apply the","text_sha256":"789d81737dfafb1419ff0e3c9b524b0698cdfcb0a9e38e8f10ac2bf1d2205894"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1200000-59-structured_instructional-watermarked","seed":1201888,"text":" Use a second step to apply gate v2 confirmation primary in the same sentence. Use a third step to apply gate v2 confirmation primary in the same sentence.\n\nTry to explain why you're doing this, how to use it, and how to apply it.\n\nDon't forget to have a small,","text_sha256":"5d6e1fedb2e7ded750b8902f839c2ac50b58207bdf11f2f589d0272e110d04b1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1200000-60-general_explanatory-unwatermarked","seed":1201920,"text":" The first paragraph may be a long paragraph that provides a list of specific questions or answers, but the second paragraph may be an introduction to a subject that you have already covered.\n\n\nConsiderations for adding optional primary information\n\nYou can add optional primary information to a list of topics and topics in the same way that","text_sha256":"8952136496ccb2272b3d0700a94bcdc2428d94525fef9c1c41563b0c53d6f550"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1200000-60-general_explanatory-watermarked","seed":1201920,"text":" Use a form of \"proof\" that explains the nature of a single event.\n\nLet's say you have a paper that shows that a group of computers at a computer lab can do all the computer code that a human would need to write to be able to understand the state of the world. You want to write","text_sha256":"358b76a53b52f2dea5a55032205c8617c61969cc8a0659d3819e4c2b2f753831"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1200000-61-technical_explanation-unwatermarked","seed":1201952,"text":"\n\nTest 1: Set up a validation check that has all the keys that were checked, and have all the verification inputs, and that has all the inputs for both validation checks.\n\nTest 2: Pass validation check to validate a verification check.\n\nTest 3: Test if the check worked correctly.\n","text_sha256":"72a56169497b3c338f303dc070466b47fbb812495faae3c263fb9b02f07cb246"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1200000-61-technical_explanation-watermarked","seed":1201952,"text":" Let us first test a different way of doing validation:\n\nLet us make use of the previous experiment. We want to see if the system finds that certain keys are valid in the field. This is done by passing the validatekey command, which returns the first key from the field and the first key from the field","text_sha256":"44c0b7f975bc5f356217d5d630950960ed77d8a57b7831ca95ed15b94dce9997"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1200000-62-conversational_prose-unwatermarked","seed":1201984,"text":"\n\nIf you don't know what you're talking about, don't bother with this one. It's only relevant if you need to know if there's a third party that knows what's going on. Don't be a total asshole and try to tell your story as best as you can.\n\nDon't","text_sha256":"b3e82c36a19664d4e226efe63c279bc74d183be851675d57147d9b519a0df13f"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1200000-62-conversational_prose-watermarked","seed":1201984,"text":" Use a simple explanation in your introduction, explaining how you intend to proceed, or the verb to the effect that you intended to take, for example.\n\nThe third important thing you should know about gate v2 is that you should use the verb to the effect that you intend to take.\n\nIn fact,","text_sha256":"b89682d28ec2208c52f0a07bf3be0022dcac2eac66bb4462381aa0bd8e3f86d8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1200000-63-structured_instructional-unwatermarked","seed":1202016,"text":" The following example shows an example of the procedure for applying a gate v2 confirmation primary in an experiment:\n\nStep 1. First, use an input sequence from the input sequence shown in the examples above. Set the input sequence as the first step, or set the sequence to the output sequence and set the output sequence","text_sha256":"d6642a7a8150d3c32fd2e9412a1e5c30e96075f315fa1d4feba25e76babce3fb"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1200000-63-structured_instructional-watermarked","seed":1202016,"text":" Use a second step to apply gate v2 confirmation primary.\n\n1.1 A few things to note:\n\n1.1.1 When trying to apply gate v2 confirmation primary in an experiment, use complete sentences and keep each step concrete.\n\n1.1.2 If you need to 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diff --git a/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/README.md b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..ceee5453
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/README.md
@@ -0,0 +1,26 @@
+# Cycle 8 Gate v2 confirmation detector (seed 1210000, 64 pairs)
+
+One-shot formal confirmation of `cycle8-publishability-gate-v2`. Seed `1210000` and topic `gate v2 confirmation replication` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero.
+
+Detector-after-sanitizer comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F/U+FE00 letter-alt v1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty.
+
+`decision.json` is the shared scale classifier and still says development classification. The Gate v2 confirmation claim is this README plus `cycle8-gate-v2-confirmation-scorecard-v1`.
+
+## Result
+
+| Arm | Identity / pristine WM | Mix required sanitizers WM | Mix UW | Visible mix WM | Carrier-free Unicode WM | Mix max |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| identity | 61/64 | n/a | 0/64 | 128/128 | 60/64 | n/a |
+| u034f-ufe00-letter-alt-v1 | n/a | **0/64** after every required sanitizer | **0/64** | **64/64** | n/a | 0.526739 |
+
+Required sanitizers on this corpus are all 0/64 mix WM: raw, nfc, nfkc, cf_strip, nfkc_cf_strip, ws_collapse, ws_collapse_nfkc_cf_strip, `lm_watermarking_unicode_sanitizer`. Diagnostic `required_bundle` is 61/64; it reconstructs the source and is not a pass condition.
+
+Closest mix watermarked row geometry only: `cycle8-1210000-52-general_explanatory-watermarked`, 47 insertions, score 0.526739, gap 0.030360 below threshold 0.557099. Residual text was not inspected to write lexical rules.
+
+Identity unwatermarked detections are 0/64 on this corpus. Mix unwatermarked detections are 0/64.
+
+Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Maximum transformed GPT-2 token count on scored mix watermarked rows is 605/1024.
+
+This corpus holds the worst mix max among the three Gate v2 confirmation seeds. Combined with `1200000` and `1220000`: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible mix WM **192/192**, identity WM **188/192**, carrier-free Unicode **182/192**.
+
+U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not reuse mix-freeze seeds `830000` / `840000` / `850000`.
diff --git a/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..89c3e975
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+367c7c42d72f16915a9bb534d4ca3215f0585e693f913faa036d2355eb7db492  README.md
+b6a62a19f7a56c02bc85643b23fe9205ff8ac216637cbf5d3b90579cfcdb5cca  decision.json
+b53adedd86aecff39b6bf7f9068461dc06f5a6f958f57baadf0fa4084366f681  detector-compare.json
diff --git a/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/decision.json b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/decision.json
new file mode 100644
index 00000000..571cef09
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/decision.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":61,"notes":"This is Cycle 8 scale development classification, not confirmation. U+034F is not product-authorized. Do not inspect 830000, 840000, or 850000. Seed 880000 is PUBLICLY_EXPOSED by PR #98. Do not generate 950000 yet.","product_gate":"VISIBLE_INVARIANT_PASS","reasons":["visible projection passed on all scored U+034F/U+FE00 letter-alt v1 rows","U+034F/U+FE00 letter-alt v1 reduced raw watermarked detections without raising unwatermarked detections","raw transformed watermarked detections are 0 on this corpus","Cf-strip detections match raw transformed detections","NFKC and whitespace-collapse detections match raw transformed detections","combined sanitizer detections match raw transformed detections"],"transformed_arm_id":"u034f-ufe00-letter-alt-v1","u034f_cf_strip_watermarked_detected":0,"u034f_nfkc_cf_strip_watermarked_detected":0,"u034f_nfkc_watermarked_detected":0,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":0,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":0,"u034f_ws_collapse_watermarked_detected":0,"visible_failures":0,"visible_pass_rate":"128/128"}
diff --git a/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json
new file mode 100644
index 00000000..5259df86
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifact_hash":"59288b71fbd1166b31e97e6e0ba72c484e050ffb0a456a949d45e91d52c3d234","detector_access_used_for_selection":false,"geometry_rows":[{"arms":{"identity":{"arm_id":"identity","candidate_count":0,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":0,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true},"nfkc":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true},"nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true},"raw":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true},"ws_collapse":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","visible_ok":true}},"selected_count":0,"source_sample_id":"cycle8-1210000-00-general_explanatory-unwatermarked","source_text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","tokenizer":{"changed_token_estimate":0,"first_changed_token":null,"ids_equal":true,"last_changed_token":null,"original_token_count":64,"suffix_alignment_tokens":64,"token_count_delta":0,"transformed_token_count":64},"transformed_text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","utf8_overhead":0,"visible_ok":true},"u034f-ufe00-letter-alt-v1":{"arm_id":"u034f-ufe00-letter-alt-v1","candidate_count":192,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":192,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true},"nfkc":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true},"nfkc_cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true},"raw":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true},"ws_collapse":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","visible_ok":true}},"selected_count":192,"source_sample_id":"cycle8-1210000-00-general_explanatory-unwatermarked","source_text_hash":"232f2cf9fd06556d567d66171e3a6f747d41bc7a7854863f11705f8db466995c","tokenizer":{"changed_token_estimate":599,"first_changed_token":2,"ids_equal":false,"last_changed_token":63,"original_token_count":64,"suffix_alignment_tokens":13,"token_count_delta":537,"transformed_token_count":601},"transformed_text_hash":"149b565b97ce19341edd88d18f3b99dda8697cc4ee1e7670f8661e37eb94a528","utf8_overhead":480,"visible_ok":true}},"domain":"general_explanatory","label":"unwatermarked","sample_id":"cycle8-1210000-00-general_explanatory-unwatermarked"},{"arms":{"identity":{"arm_id":"identity","candidate_count":0,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":0,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea4492f3cd1978a9464fd8e20115119cea898da81ea3b7738a3","visible_ok":true},"nfkc":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea4492f3cd1978a9464fd8e20115119cea898da81ea3b7738a3","visible_ok":true},"nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea4492f3cd1978a9464fd8e20115119cea898da81ea3b7738a3","visible_ok":true},"raw":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea4492f3cd1978a9464fd8e20115119cea898da81ea3b7738a3","visible_ok":true},"ws_collapse":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea4492f3cd1978a9464fd8e20115119cea898da81ea3b7738a3","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"13475747de51eea44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For example:\n\ndef tests ( self ): test = [] for test in tests . get () : test . append ( self . test_count )\n\nThis test will test whether the first test succeeded or failed. Then, the test will","text_sha256":"ada770e6851f6938344f751bbcfd94c4d94d0c9849f3b5a72da653d03c30e24a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1210000-02-conversational_prose-unwatermarked","seed":1210064,"text":" Ask them about their favorite topics that they know are relevant to their work.\n\n3. Make sure to include a clear link to your work\n\nThe key to getting the right answer is to provide your link, or you'll get an answer.\n\nYou can use the Google Docs to create your link","text_sha256":"ba81c5e1c13aeecb7b7b3f7b425f7e3434ba93c8420079efd460251237f01f6f"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1210000-02-conversational_prose-watermarked","seed":1210064,"text":" Use a conversational prose that is consistent with the person's original purpose in the conversation.\n\n(A) The content of the sentence of the sentence depends on the person's original purpose.\n\n(B) The words used in the sentence should be clear, concise, and understandable to the listener.\n\n","text_sha256":"0e160035a4f6ddcdfb427829eaf4d338165c87176795d9126b89295d8fc1ca0c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1210000-03-structured_instructional-unwatermarked","seed":1210096,"text":"\n\nStep 1: Create a full-text summary of the results of the test\n\nThe first step in our learning approach is to create a full-text summary of the results of the test. We will use the words \"results\" and \"results\" to describe the results in the text, while still having","text_sha256":"ad7b389e6dbb4d17ce70e8c5af0eb89864df52977a9dc28516f25783196b5e6d"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1210000-03-structured_instructional-watermarked","seed":1210096,"text":"\n\nFigure 1: A description of the steps for a test of v2 confirmation replication.\n\nNote: A short two-step instruction is not suitable for a large number of situations. Instead, use an appropriate code base for the whole test.\n\nStep 1: Enter the computer's password.\n\n","text_sha256":"c316147dd55ac334e885be837c0e1019b10e7afcdc953cb47a35d6257b0bd8c1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1210000-04-general_explanatory-unwatermarked","seed":1210129,"text":"\n\nThe question for me is: which field of study to focus on when thinking about gate v2 confirmation replication? Well, there are two major problems with the following papers (in particular the following and in this order):\n\nThe first is that the paper is not complete. There are many technical issues that need","text_sha256":"af6389aac2832723b6bd541c8580a76e289d3f2832d72f4129883bdb5a1d1c02"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1210000-04-general_explanatory-watermarked","seed":1210129,"text":" Use a simple description of the problem with a brief description. Use a descriptive writing style (e.g., English-style verbs, verb-as-a-thesis or a Latin sentence structure). Write this in a manner that avoids ambiguity. Use a formal style (e.g., English-style verbs,","text_sha256":"dd08ef1fa9fb2a1872ed642e412dcb61808b763fbbf9aae1a223feb4bd16d906"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1210000-05-technical_explanation-unwatermarked","seed":1210160,"text":" Explain why it is needed.\n\nWhat is this change in the way the two protocols work?\n\nThere are two main reasons why I am using the gate v2 protocol.\n\nOne is that I have developed a protocol that is based on the protocols used in the SANS, and I'm sure I","text_sha256":"63d65b176aa9c1e528d3b166b06e9d5f2ba9f9f05ab19ca12dae904ba11edad0"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1210000-05-technical_explanation-watermarked","seed":1210160,"text":" Explain how to define an error check. The purpose of this section is to explain what happens when you fail with the \"error\" check. This is because the implementation of a protocol that uses gate v2 is not consistent with the protocol used by the network. In the first step, there are two ways to define the","text_sha256":"71d206bffb48f97430080da6e97da257583e8da621c830ea5e165544e5acf1d4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1210000-06-conversational_prose-unwatermarked","seed":1210192,"text":"\n\nUse the following approach if you want to do it right:\n\nThe query has to be followed with a query string that identifies the underlying resource.\n\nFor example, I'm using a simple SQLite database to perform a quick query. I want to retrieve the latest data from the database and create the","text_sha256":"f3ffb00eafc4814abbe6e302c3a10e0af1ab3b41f1d0ab806b267f194cf0461d"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1210000-06-conversational_prose-watermarked","seed":1210192,"text":" Don't use the verb \"to be\" to refer to \"to be\". When this means \"I can be persuaded to do anything\", remember that this is the first sentence of the next sentence. Don't use \"I can be persuaded\" to refer to \"to be persuaded by me\".\n\n\nExample: \"","text_sha256":"54b1c31ceb1aca087e25d2049c34c56d23fac91328e115df23cad044116398ea"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1210000-07-structured_instructional-unwatermarked","seed":1210225,"text":" Use a word processor and a number generator to create a word processor, and use a number generator to write a word processor to a word processor. It is often a good idea to keep the word processor as small as possible so that it can run on a single processor, and to keep the processor short to allow the process","text_sha256":"8ff1c6f348d6b0ddd8f5749f76d0ea143c8ce0715f915ca89e5295f163cd53d1"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1210000-07-structured_instructional-watermarked","seed":1210225,"text":" Use a single-word sentence to form a sentence and add the sentence and sentence-by-sentence information from the second step to the sentence-by-sentence information in the third step. Repeat the steps one more time.\n\n3.1.3.3.2.2.3.3","text_sha256":"c0e081d4b96a2833650f3afcf82a5f1782b77c637c11a07ca46bcebe9c56547d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1210000-08-general_explanatory-unwatermarked","seed":1210256,"text":"\n\nNote: If you are familiar with the term \"v1\" or \"v2\", it is a description of a change in a v1 or a v2 system.\n\n2.5 Introducing the new \"v1\" or \"v2\" system\n\nIn recent years, the new","text_sha256":"1338e04e6a0940ed244b392d96920fc21a4c1dd78fc3bea7e2a60790a7f57516"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1210000-08-general_explanatory-watermarked","seed":1210256,"text":" Use a clear language. Be concise. Write sentences that explain why the data set is a valid point of view.\n\nThe above is a summary of how to write a valid point of view. It is a very long list.\n\nWhy the data?\n\nWhen you write a valid point of view,","text_sha256":"c6b3a170ca9d52b5041bdd177d32cdbf45a5b2070dc81fdaa2cc18923bf5319d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1210000-09-technical_explanation-unwatermarked","seed":1210288,"text":" Then consider the validation check. The failure check indicates that the replication was successful for the validation check, and that validation check has been sent to the server. If the validation check failed for validation check, then the replication was successfully rejected. The failure check indicates that the replication was successful for the validation check, and that validation","text_sha256":"de859b752f5182178daaaa8ca37b198257dcfb7373b3fe2fe25e529c03eb8ba0"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1210000-09-technical_explanation-watermarked","seed":1210288,"text":" Use a single validation check. The failure mode can be used to set up a single validation check with additional steps. The validation check can be used to verify that the implementation is correct. Validations can be performed on every part of the code block and can be performed on any part of the file. Note that all of","text_sha256":"0b397f5727955c595eaef09b4f3d1d63d16e93423e8c929b55c4d92dd17f8d01"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1210000-10-conversational_prose-unwatermarked","seed":1210320,"text":"\n\nUse the most natural language. Use your own vocabulary. Don't use the latest version of an article. Use the latest release of an article.\n\nUse a language that allows you to say something easily and concisely. You can write a lot of words without giving people a chance to understand them.\n","text_sha256":"c16487563f654c49817dcdcbf76804a9e503941e02b3c7577e23d9a61ce42213"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1210000-10-conversational_prose-watermarked","seed":1210320,"text":" Don't repeat the same answer over and over. The simple answer will likely be \"no\" or \"yes.\"\n\n\nIf you don't know what \"yes\" is, you can use \"no\" to refer to \"yes.\"\n\n\nIf you don't know what \"no\" is, you can use","text_sha256":"8f62eef41896c8746c2cc1347a6e361caed11b849d4c75c5592b3d289b981210"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1210000-11-structured_instructional-unwatermarked","seed":1210352,"text":" Use three-step instructions for the second step.\n\nThe second part of this tutorial shows you how to apply the first step to a single-level test:\n\nStep 1: Check that the second step is a complete instruction. Check that there are no errors. If the second step is a complete instruction,","text_sha256":"1aada4f0e6eeacd1b1db3f6ade8789f7d732fe1efbbc336e1ba3e90190e8f585"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1210000-11-structured_instructional-watermarked","seed":1210352,"text":" Use a second step to connect the second step to the first.\n\nYou can also build a test-tube setup to test the success of the second step.\n\nIn this example, we'll be applying the first step to the control circuit to determine how many gate v1 confirmations you need. We'll","text_sha256":"2cb8f18a84e0ac682d23cddbca906aab10ede906837d92b1dc69bb42073cf52f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1210000-12-general_explanatory-unwatermarked","seed":1210384,"text":"\n\nThis is a book that I'm sure many of you will love, and I've found many of you are not familiar with the concepts of gate v2 and gate v3. I'm not sure if I can explain them better than this, but I hope you understand. If you have any questions or comments","text_sha256":"5bcee1798e5bd7481a2fbe8fd324d2c971e87488fb3da3a33a62f5fa32d9c7c8"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1210000-12-general_explanatory-watermarked","seed":1210384,"text":" Use a list of all nodes in the cluster.\n\nHow to use the key:\n\nUse the key and keypair parameter:\n\n# A list of all nodes in the cluster. # The node name must be present on the list. node = \"example.com\" key = \"example.com","text_sha256":"67e7bdc89e3cb4f57fbd7fc7523ba88bf2fe26ef12c2bbce37f2575c12d83a43"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1210000-13-technical_explanation-unwatermarked","seed":1210416,"text":"\n\nConcept 2.4.1. The key parameter of the v2 replication process: The main idea is to test the integrity of an experiment by creating a new state. To do this, we do the following:\n\nInsert a new state into the pool, create a new state to the pool,","text_sha256":"70b2114ec3a1ab44e124c4b5878b60f0411f3bc8e97c8914f012489b16e1bd77"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1210000-13-technical_explanation-watermarked","seed":1210416,"text":" Use a different proof of work approach to verify the validation. Verify the following: If the source of the source of the failure is already known (e.g., the source code of the protocol) and the source is known to be known to all nodes (e.g., the source code of the protocol) then","text_sha256":"8516b30a734576cbda4943908116449fd0aa005efec36938d55169c0243fe2ee"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1210000-14-conversational_prose-unwatermarked","seed":1210448,"text":"\n\nIn the absence of any external documentation, consider how a server will respond to the command you send.\n\nThis is a fairly straightforward example. We're using the server to do some manual replication on a public database of users. We'll create a simple node with our authentication token.\n\nIn a command","text_sha256":"371aeada5f5327cfed6a43c01bed1c43301a968923c7668d4e150f6d9d90b383"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1210000-14-conversational_prose-watermarked","seed":1210448,"text":" Use a conversational approach to your questions.\n\nIn a nutshell, gate v2 (a.k.a. V2) means that you can take advantage of any hardware or software you are using to create a set of records.\n\nLet's say you have a set of two records. This set","text_sha256":"94f4b5462538eb8f2eb0168ace7cd2d40492048ee06682e90496b00d91d0c8d3"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1210000-15-structured_instructional-unwatermarked","seed":1210480,"text":"\n\n5. The basic idea is that the test can't be performed with a single-step instruction. There is no way to perform the test with multiple steps.\n\n6. What we do is we use the following two steps:\n\n1. The test can't be done with single-step instruction","text_sha256":"b35111089d6a4d8cd6d90dbdd764079c267e83bf5fee0fb2f8ea32f03d22f57d"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1210000-15-structured_instructional-watermarked","seed":1210480,"text":" Use a second or third step for a second or third step for the same step. For example, the steps of A and B are followed by A and B. The steps of C and D are followed by C and D. The steps of E and F are followed by E and F. (Do not use the","text_sha256":"1b76c5bbfd08610dc5e3a427e59e344bc508583821cdd3c9c0342c7345a9a420"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1210000-16-general_explanatory-unwatermarked","seed":1210512,"text":"\n\nThis is a real, important, and simple answer. And if you've read the rest of this post, you're in for a treat.\n\nIn other words, why don't we see more of this in the years to come?\n\nI've written plenty of articles on this topic in recent","text_sha256":"6600f47a3057a35fbc41de1a64262a410e9a721336a95de41f2ba7b2d3e3bf56"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1210000-16-general_explanatory-watermarked","seed":1210512,"text":"\n\nThis is a great tool for analyzing new data and finding out about new theories. Read it thoroughly if you're a data scientist, as it will help you understand why a data science researcher is doing the same thing.\n\nHow to use it\n\nIf you're a data scientist, this guide will help","text_sha256":"04f8a6f3692e21fb122e4dee296ca606b1aef023be2e785745615c280d9da62e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1210000-17-technical_explanation-unwatermarked","seed":1210544,"text":" A failure mode can involve the assumption that a failure condition is a failure condition, and a validation check. A validation check can be defined as\n\nAn validation check is a validation check performed in accordance with a specified set of criteria. A validation check may also be defined as\n\nA validation check that has a test","text_sha256":"ea57f85be2557683713143b74e3a6512ded077fc7f3ddd35f1c0757864924e7f"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1210000-17-technical_explanation-watermarked","seed":1210544,"text":" Let's say a software problem is discovered that we have a problem with a server (server 1) and a test server (server 2) that uses the same server for the same amount of time. We then get this message: \"the problem is with the server. It will not be solved.\" Let's say that","text_sha256":"252f100afc7cd5536679589dd2eb304bec99cbcc2f88a0e29741786800d2ac37"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1210000-18-conversational_prose-unwatermarked","seed":1210576,"text":"\n\nDon't ask a question about a specific feature or application that isn't covered in the introduction.\n\nUse natural conversational prose while keeping the explanation precise. Don't ask a question about a specific feature or application that isn't covered in the introduction. Use a conversational, plain English language or conversational","text_sha256":"52f97931942607a6f2fa13f4708bc46952d4aadc25ff4edd40d72e1069f242ef"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1210000-18-conversational_prose-watermarked","seed":1210576,"text":"\n\nAs with the above, try to avoid any use of punctuation in your questions and comments. This will give you an easy introduction to this field and is a valuable source for the next version of this course.\n\nI'll be adding more content on this topic as I learn more about it.\n\n","text_sha256":"8c6fffb1dc774de3f86426264d2ff12c0a127bab526c589d857d83276dcea077"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1210000-19-structured_instructional-unwatermarked","seed":1210608,"text":" For example, if you want to send a test message and want to confirm that the sender of the message is the same as the recipient of the message, you must have an order to send the message that corresponds to the order of the reply.\n\nStep 4: Use the same command to send the same message over","text_sha256":"be569e43b6ce80709f9a85ca3fd5628f19efadb068e39a1b28eb7d0bbec1b7e6"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1210000-19-structured_instructional-watermarked","seed":1210608,"text":" For example, we'll start by creating a simple test and repeating the sentence \"A B C D E F G H I J K L M N O P Q R S T U V W X Y Z.\"\n\nWe'll then use a simple test with \"A B C D E F G H I J","text_sha256":"0c31031b0cb00f76ea70ff25830dea768a8307e62fb89ee7a36a5efc5bf7ce17"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1210000-20-general_explanatory-unwatermarked","seed":1210640,"text":"\n\nIn one year, at least, we're seeing these results with more frequency in other areas of science. It's hard to tell how many things are happening, or how much of them are just noise. But I suspect that the general trend is towards more and more, which is not surprising as the whole field","text_sha256":"d712ed3b443ce6bc9f6179f77e224f19ec2cd9c84799e91de1a8f4879d6a3bea"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1210000-20-general_explanatory-watermarked","seed":1210640,"text":" Use a list of the following three words to describe what's being described.\n\n\"It's like a virus\"\n\n\"It's like a virus\"\n\n\"It's like a virus\"\n\nThis description would help your research in understanding the source of the problem.\n\n\"There is no","text_sha256":"fde50ad3fe44c855bad5a0e98aa60b7d2abec588658beded1b3b4c9f70a380b5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1210000-21-technical_explanation-unwatermarked","seed":1210672,"text":"\n\nThe basic idea is that when a node's validation check is triggered, it's called a validation check, and the node's validation check can be either a validation check or a validation check that only the valid nodes are able to validate. The validation check will check the valid node with the same signature as the validation","text_sha256":"992d2fac4834e76e2863208478ffe41b836a76601d4ab5ddde2882af151aa2c6"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1210000-21-technical_explanation-watermarked","seed":1210672,"text":" Let us assume that if a v2 replication failed, then it is time to validate a v2 replication. On the basis of the validation check, let's say that a v2 replication fails with a failure mode of \"A\" (failure, validate or validation check). We need to find out how the v","text_sha256":"bbc6806a63c848d2a4ffcb1f777d30e60ff91f134fbc089a7ddee0b433475560"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1210000-22-conversational_prose-unwatermarked","seed":1210704,"text":" Explain that there is no such thing as a \"secret key\" or \"secret message\" in this case.\n\nIf you have your own keys, use the private key (typically RSA-AES128), private key (typically RSA-AES256), or key (typically RSA-AES384), you","text_sha256":"01fba82a83f5be8991631bfb5b81f74ad9f4c013371354bfc4e4404366803ee4"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1210000-22-conversational_prose-watermarked","seed":1210704,"text":" This helps to make the topic more visible to the audience.\n\nIn this example, we can add the following:\n\n#define FOUNDER_ID 3 \"root\"\n\n#define SENTRY_ID 3 \"username\"\n\n#define FOUNDER_PASSWORD 3 \"password","text_sha256":"a20e7d6bb846be8cd7064a78baf1a9e286c9c0a66d0a10cb55653d41023c3359"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1210000-23-structured_instructional-unwatermarked","seed":1210736,"text":" The first step in step 2 will be the proof of the proof. The second step will be the proof of the proof. The third step is the proof of the proof. The final step is the proof.\n\nThis is the simplest part of our program. It is all about using complete sentences to prove that the","text_sha256":"682da86451359f65e43a9c59d9fe4b0a0f54e2a339546f7b9379488624200dc0"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1210000-23-structured_instructional-watermarked","seed":1210736,"text":" Use a short three-step instruction for applying gate v2 confirmation replication in an experiment. Use complete sentences and keep each step concrete.\n\n5.2.1.1. Concrete, repeatable, repeatable, repeatable, repeatable, repeatable, repeatable, repeatable, repeatable,","text_sha256":"32f788efefac2e2556fff726e7aa7f139bec0d2abb5ea648ed34cf5fd14a65f2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1210000-24-general_explanatory-unwatermarked","seed":1210768,"text":" This is a very important technique for verifying security.\n\nIt is recommended that you do not use this technique in your research, especially if you are a researcher who does not think of the project as a scientific project. The fact that you are able to work with people who might not think of the project as a scientific","text_sha256":"7430be24607cd82dda8a0e182ff3368eddc09b2154c97abdde41bdaee97916d3"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1210000-24-general_explanatory-watermarked","seed":1210768,"text":" This is an example of a scientific work, and I will not be discussing any of your points here.\n\nA better way to explain why confirmation replication matters is to use the term \"rebel replication\": you must describe the replication process as the process of trying to determine a certain set of information to be replicated by","text_sha256":"1dbd20b57aaa6c2aed82f2209a0d4fdd3dfc77dfba4cc76d0e0930f19b8793f8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1210000-25-technical_explanation-unwatermarked","seed":1210800,"text":" Note that failure modes are independent of validation check. Each validation check must be executed by an individual node.\n\nThe main idea of the validation check is that the validation checks perform two tasks. First, they check whether the data is authenticated. If it is, then the validation check fails and the data is not authorized","text_sha256":"e4e27698e40eeb51488eaf1bd9cc7d5e81dbd734f84c1a6d6431869cff5183bd"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1210000-25-technical_explanation-watermarked","seed":1210800,"text":" In particular, describe the following:\n\n1. When an input is sent to an experiment, we know the result of the input, we check whether it was sent correctly, and if so, if it was sent as an input.\n\n2. When an input is sent to an experiment, we know whether","text_sha256":"bbb6d5d022393e1776d947e898feb4a032c81b9c52691a3f4154664bfb124238"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1210000-26-conversational_prose-unwatermarked","seed":1210832,"text":"\n\nThe first thing to say about gate v2 is that it's a tool for detecting and solving problems in the system. You can do this by using a script, such as this one:\n\n#!/bin/sh # use the script as its own shell # use the script as its own shell #","text_sha256":"166be231034782fc99b53a477fbcb991061bf85f9797e65f3962b128e4755cf2"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1210000-26-conversational_prose-watermarked","seed":1210832,"text":"\n\nYou have a couple of questions here. How do you get into a conversation with someone who is not in your group? If you are a guest, who is in your group? What is the most important thing you have learned in your job experience that will help you do so?\n\nI can only speak","text_sha256":"d45955f9c73380892e3c941abc5d5ce33ceaa851a36f187529a6ae9c14e4c9bf"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1210000-27-structured_instructional-unwatermarked","seed":1210864,"text":"\n\nExample\n\nIf you want to implement an algorithm in a simple programming language for creating a new word in Excel, let's just use a simple word processor to create a word by hand. But what if it's not possible to get word samples on a real machine? Now, we can use a computer to","text_sha256":"340377a552eb4c76386ff66d2a6094cc76352143e9443ef7fa3df597470a1a1f"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1210000-27-structured_instructional-watermarked","seed":1210864,"text":" Use a separate gate v2 replication step for each step. Then, use the same gate v2 replication step in the test and repeat the steps, keeping repeating steps concrete, and the same results. Then, use the same gate v2 replication step in the test and repeat the steps, keeping repeating steps concrete, and","text_sha256":"6dd5815b71bf63659d38b86ad03401f32307fea82d2fd98be6670298174c9f97"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1210000-28-general_explanatory-unwatermarked","seed":1210896,"text":" This is a good thing. The point of the problem is to help you understand the problem. In particular, the problem is a very large problem. It has to be solved with the use of a well-designed set of rules.\n\nSome problems do not follow simple logic. The basic principle of any solution is","text_sha256":"ad0b5303cea64510f25e8ca8731ee5311fe2adf7d917676b5b5c2c03c43389c5"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1210000-28-general_explanatory-watermarked","seed":1210896,"text":" This is how an engineer in a new lab will understand how to proceed with a project that takes several years to complete. Write this when there are no new bugs to fix.\n\nThis method can help you get a lot done while maintaining a clean, simple codebase.\n\n#include  #include","text_sha256":"0652c9df00b22c35a53554575dbb8afd3db26476517b1e1c1b241e3ba60f2c7b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1210000-38-conversational_prose-unwatermarked","seed":1211216,"text":"\n\nWhat are the consequences of a random random number generator? Randomly generated numbers are often thought to generate random numbers, and I was able to show that when the random number generator is done, it produces an infinite number of random numbers. But when this happens, the results may be different from what you expected.","text_sha256":"af601ebce9f225035f7f7ea5e69ab238d5d12d8d4eaee81134e60b51917e05a1"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1210000-38-conversational_prose-watermarked","seed":1211216,"text":"\n\nUse a short explanation that provides details of what is the problem and the solution.\n\nUse a concise, well-presented explanation that does not have a lot of jargon.\n\nInclude a good explanation of why the problem is so difficult for a second time.\n\nUse good descriptive language.","text_sha256":"b37499214ab38d7452724a07f9d6b6631cb32778c046e02865c9e01c74c742a1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1210000-39-structured_instructional-unwatermarked","seed":1211248,"text":"\n\nFor example, if the second step is repeated for every second step, the time delay for the first step will be greater than the time delay for the first step. If there is a delay of 1 second for the first step, the first step will be executed first.\n\nThe number of steps can be","text_sha256":"f6d0dbe0e3c1acb5372b2df9ce5ddea5df1bc3b821aa5412d7647474b90bf4c6"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1210000-39-structured_instructional-watermarked","seed":1211248,"text":" This method is useful in the context of training your own neural networks to be used in lab experiments and in field trials. The term \"batch-reciprocal\" comes from the concept of a \"batch-reciprocal\" or \"pre-batch-reciprocal\" model, which allows for the prediction of","text_sha256":"0b1671055b1cc7948bfea2445396d6f4d236bca664198c6d5044dc22e9e4794f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1210000-40-general_explanatory-unwatermarked","seed":1211280,"text":"\n\nThe first step is to understand what the role of gate v2 is. The problem is that it does not matter which of the following is true:\n\nIf the proof of gate v2 is true, then the proof of gate v2 is false, and therefore the verification of the proof of gate v","text_sha256":"23a763933325817ee56542e13ecf25ef65e0a919040e34665a7f99e32f20a98f"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1210000-40-general_explanatory-watermarked","seed":1211280,"text":" Use a format of words that are common in scientific language such as \"it\" and \"h\":\n\nThe following are basic syntax guidelines.\n\nEach entry in the following paragraph is a special case of a rule, or part of a rule, that applies to all parts of the rule, and does not affect","text_sha256":"882ffc6a1f2b3b6f824297cad1539fb40c2e388d30710259c069b9a9a156c125"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1210000-41-technical_explanation-unwatermarked","seed":1211312,"text":"\n\nNote: The example is only for those of you who have no idea how to do it in C. The example should work for your own reasons, but you can build on it in many different ways.\n\nBinary-style verification is easy for a software experiment to run, and it's a nice","text_sha256":"36a5ebc56956e3388f7cde3bf4c76dd340679611088e1e0845c8d0e3d97f88d8"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1210000-41-technical_explanation-watermarked","seed":1211312,"text":"\n\nNote that the actual code used for this is not quite the same as the one described in the previous section. I'll just list some examples and suggest some techniques.\n\nThe main idea is the same as in the previous section, but instead of using a number of different code snippets and a few different inputs","text_sha256":"1023a7e0212728d6c00046c931fca40b6668b0fe68fcbdc991ae319407487572"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1210000-42-conversational_prose-unwatermarked","seed":1211344,"text":" You are creating an environment that is not a blank slate. A single word can change things, so try to keep it relevant.\n\nThe next time you are out in the open, your colleagues should follow you to the end with the same kind of question: How did you learn to code? The answer is not","text_sha256":"923aa5af5a0e436492710235a2c9b08f7dd921f2119d8e086c8f5427684786d4"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1210000-42-conversational_prose-watermarked","seed":1211344,"text":" You are creating a new language for your company.\n\nUse the word \"confirmation\" in the plural of \"confirmation\"\n\nUse the phrase \"confirmation\" in the plural of \"confirmation\"\n\nUse the phrase \"confirmation\" in the plural of \"confirmation\"\n\nUse","text_sha256":"6eebea9473a55d8200d1fc21c76b7db834c730f35fbeddb951f0472c8eaeb55c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1210000-43-structured_instructional-unwatermarked","seed":1211376,"text":" The following sample code is a step-by-step tutorial for implementing a simple gate v2 replication.\n\nIn order to make this example more simple, I'll make it more complex.\n\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23","text_sha256":"68a8f21d6a4625f2797c52ddc0c6e305675e4a2e5a83f062c4864dae156d4d95"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1210000-43-structured_instructional-watermarked","seed":1211376,"text":" For example, we can use a short phrase to apply a gate v2 confirmation replication to a sentence. In this example, we will use a short phrase and a sentence.\n\nStep 3: Apply a gate v2 confirmation replication to a sentence.\n\nIn this example, we will apply a gate v2","text_sha256":"7dc447d7d48826872f0cc2b7c2e0682a20e673f4b886be11e311a14683a95d61"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1210000-44-general_explanatory-unwatermarked","seed":1211408,"text":"\n\nExample\n\nIn order to be able to execute a real-time log of the state of a system, the log must be in the order of minutes.\n\nIn order to avoid such a problem, we could use a simple recursive function that is recursive:\n\nfunction rb.log(state","text_sha256":"ebc00f049506d08eb4fc5c0340e04e1017bb49a2813aeef1a2f02e39037bae71"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1210000-44-general_explanatory-watermarked","seed":1211408,"text":"\n\nLet's say you have a proof that a machine can validate your proof in a single step.\n\nA proof can be a proof that the proof is true and you can verify that it is true by a single step.\n\nA proof can be a proof that the proof is not true, or the","text_sha256":"ba8e0d2ad904913ca8719ea2b1899647cd691bd612ca0b4ffca9eda494a193ac"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1210000-45-technical_explanation-unwatermarked","seed":1211440,"text":"\n\nWhen a software test fails, it is considered that the test failed by some other mechanism, which is called a \"gate test\", and that the test has failed by the failure mode. This can be used to determine what is the cause of the test failing, or it can be used to determine which gate test","text_sha256":"d54195a929bba7219f3595febb4b3ace0b53f8df471ada6e637a96b385379c70"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1210000-45-technical_explanation-watermarked","seed":1211440,"text":" Create a check that makes sure that all of the fields that are replicated are correct.\n\nSee the README for more details.\n\nHow to use the server and client\n\nThis is a basic implementation of the above described setup, but it can be used to do many other things as well.\n\n","text_sha256":"af679b113d43ced80958cf919aa536e99b15c9e82e35a6feb004c94e54d0d2c9"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1210000-46-conversational_prose-unwatermarked","seed":1211472,"text":"\n\nUse logical-seeming sentences, including the following:\n\nI use this example as an example. It's not an exact match, but it's a very important one. The next time you need to make a connection to a data center, make sure the machine is able to handle the data. The","text_sha256":"8605f48a6826d14810086dfe4f930cbd88c72904d8f85f98324f052ea566a921"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1210000-46-conversational_prose-watermarked","seed":1211472,"text":"\n\nUse logical, logical, and logical inferences while keeping the explanation exact.\n\nAvoid language that is too verbose.\n\nThe goal is to prevent people from using verbs that are too verbose, but which are just too verbose in terms of the verbs they are using. This is a great","text_sha256":"979def4ef1d15e974c3b41b304ebfec29476420d174a90bd53e203c2a69a856b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1210000-47-structured_instructional-unwatermarked","seed":1211504,"text":"\n\nIn other words, this is how you work. The idea here is that for each step you're going to make sure that the process is working on the same set of variables and that the process's process is executing on the same set of variables. And for each step, you're going to make sure that","text_sha256":"7c2e9d7333f5d8661c415144f35818f549a223a64245e22f5a654bed63c334e5"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1210000-47-structured_instructional-watermarked","seed":1211504,"text":"\n\nFigure 1: A test of a new input. The first step of the process is to check if the input is verifiable with a simple test. The second step is to determine whether the input is verifiable by the second step of the experiment. The third step is to determine whether the input is verifiable","text_sha256":"429077fb79a2af4b6a06c2e2a132e5720ff4356a4460ca71b658f410526665f6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1210000-48-general_explanatory-unwatermarked","seed":1211536,"text":" Read one sentence in detail. Read one sentence in detail. Read one sentence in detail.\n\n3. If you want to create a database that looks like this:\n\nSELECT * FROM test_db.test_db_name WHERE test_db.test_db_id LIKE test_db.test","text_sha256":"b23938044fdb193fc9a10e00b21f8d084c985e897aebadaa855fee53af85b360"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1210000-48-general_explanatory-watermarked","seed":1211536,"text":" Use a list of the following three possible parameters:\n\n$p = $s = $x$ - $v1 = $x$ - $v2 = $x$ - $v3 = $x$ - $v4 = $x$ - $v5 = $x$\n\nThe","text_sha256":"9ed5205919df1e4f79ef953801a747e56903c378606292cf00beae730fada596"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1210000-49-technical_explanation-unwatermarked","seed":1211568,"text":"\n\nNote: The failure mode is the first part of the replication. It is defined by the implementation of the mechanism. If the error message is a list of failures, then the failure mode is the last part.\n\nThe validation check is a step to verify that the failure mode is correct. It is defined","text_sha256":"900103f707465538c0b6299f0ca93ff7a16dce14cac85172f93dde5adbc2fb90"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1210000-49-technical_explanation-watermarked","seed":1211568,"text":"\n\nNote that the actual validation validation check is not necessary. If you specify an validate block, the validation block is always used.\n\nHow to use the validation check\n\nWhen a node with a block and a validation check is configured to do an validation check, it creates an output file named test.output","text_sha256":"cb694030e16a62edefd45c5bfe08be346fb9ad9b2c33b413cf978dc433d7e5d6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1210000-50-conversational_prose-unwatermarked","seed":1211600,"text":"\n\nUsing natural conversational prose\n\nFor many applications, like in data science, it's important to use natural conversational prose. However, it's also important to remember that natural conversational prose is not required to be the source of the data, but rather to be consistent with the original data. The reason","text_sha256":"cf4663c3060f13dd672b85104fbd09169c282391d6bd6117e6b3f8c03bc60676"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1210000-50-conversational_prose-watermarked","seed":1211600,"text":"\n\nUse a short explanation that is easy to read (e.g., \"I saw this in an article about open source software.\") Use a simple sentence with a clear and relevant explanation. The longer the sentence, the more time you need to spend answering questions, and the faster you're able to explain things quickly","text_sha256":"2e4a979e46a1f2d3684e9a727c0e09d99e350353652b3a2f122904584f8c54fa"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1210000-51-structured_instructional-unwatermarked","seed":1211632,"text":"\n\nAfter applying gate v2 confirmation replication, you can use any code you want. But remember that for this example, we want to apply the whole gate process to a single statement. If you think that's not possible, consider the following example:\n\nYou have 1 gate. You want to apply the whole","text_sha256":"32c4a2283a52f8a70a8b01b0d92b67e2b20d400d5bd525087a8fe8a1abab3352"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1210000-51-structured_instructional-watermarked","seed":1211632,"text":" Use a quick search and you'll see the same results. I've also used a second test to confirm a copy of the \"tutorial\" by clicking on the little red check mark in the bottom right corner of the screen. If you're like me, you'll often get an error when you try to use a","text_sha256":"a6a474168aef499d3966808388347acf005d81e8c348c5c80ac0d46dd921208c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1210000-52-general_explanatory-unwatermarked","seed":1211664,"text":" Include relevant information in the paragraph. The paragraph should not have an explicit description of the specific problems or consequences. For example, if a customer asks why a company is leaving a country with a different country than ours and we have a policy that they must leave the country that allows them to use their home country, we should","text_sha256":"f2ea4b1c40f231470bd8120b01221e285fe5bbf83bcdd4322491b48373cff4a8"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1210000-52-general_explanatory-watermarked","seed":1211664,"text":" Use a list of the supported protocol extensions. Example: http://wiki.opencores.com/Courses/Tutorial/Portfolio_of_The_Tutorial_of_Tutorial_of_Tutorial_of_Tutorial_of_Tutorial_of_Tutorial_of_","text_sha256":"75d1fe7a320ed204460249aafaffe08c1502a869a0307bad90bc70eb061a5f80"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1210000-53-technical_explanation-unwatermarked","seed":1211696,"text":" The validation check is the attempt to validate a change. If the change is invalid, the validation check fails, or an invalid value is used, the validation check is skipped and all subsequent validation checks fail. For the validation check to fail, the value is the amount of time that the validation check took before the validation check","text_sha256":"8bea7975da3c494cbdf1ea39d3f59503d052547a301412a037840839c3d89703"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1210000-53-technical_explanation-watermarked","seed":1211696,"text":" Use the following two tests:\n\n1.1. Fail/validate a software test on a single hardware device. (This test only requires an existing test network)\n\n1.2. Fail/validate a software test on multiple hardware devices. (This test only requires an existing test network)\n","text_sha256":"3ba31cc8aebc20bd241aff0cdeb33d4d4e71c675166acd8c2f3f45777eaa148b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1210000-54-conversational_prose-unwatermarked","seed":1211728,"text":"\n\n2.3.2.2.6 Create a custom v2.1.1-style configuration file to build the gateway and v2.1.2-style configuration files.\n\n2.3.2.2.3 Use the command line tool xen-tools to create a command","text_sha256":"b7c06af715f52243776492df08100792b8c6eb32e70a70fa8376918d9288edb9"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1210000-54-conversational_prose-watermarked","seed":1211728,"text":" You'll see that we can easily use the same grammar with the same key in the same place.\n\nThe Keywords\n\nIf you're trying to do a lot of testing, you've probably seen a lot of articles, blog posts, and blog posts about how to do things with a language. These are","text_sha256":"acc213de32546b8465246eafa8fca016a7923e99a2338a5e68bc455ad5c9846b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1210000-55-structured_instructional-unwatermarked","seed":1211760,"text":"\n\nWhen creating a replication table with a single word or phrase, you don't want to make the experiment too complicated. It should be simple, but not complicated enough to make the effect on the end result more complex. The result should be consistent and not confusing.\n\nTry creating a simple test for replication with","text_sha256":"3b9d8e55e8ef3edf57cc511500777d71af95ea3d6b70ecec62472634efe63c99"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1210000-55-structured_instructional-watermarked","seed":1211760,"text":" You will be able to learn about a few variables in the experiment, but don't forget to practice the instructions, such as how to push the trigger, how to use the shutter speed, and how to take pictures using a flash.\n\n5. Use the L2 to move a piece of paper. When a","text_sha256":"a55ad749cc6ed005b1eb2658f2a9e1bb18eaa5de7cc79fbcf8863690cfcd1272"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1210000-56-general_explanatory-unwatermarked","seed":1211792,"text":" Write a long paragraph without a sentence and make it concise. Repeat the whole thing. No matter how many times you write it, write it in the same sentence and do it in a sentence that is clearly not a sentence at all. In one way or another, you can be successful when you get that much evidence and","text_sha256":"a51bf648e2b7721dd593f5649b5750b312cf11c41c17cddae4c87541dd251a9c"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1210000-56-general_explanatory-watermarked","seed":1211792,"text":" Create a database with the following information and save it in a safe location for further study. Verify that the information is correct.\n\nRead more about using v2.6, and the new v2.7.0. If the data you are requesting is not from the gateway, check to see if it is","text_sha256":"4b266f7c9ad751d897eae13de5092cb4809dd0e1be229d90c837aeacf0fa5b9b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1210000-57-technical_explanation-unwatermarked","seed":1211824,"text":"\n\nExample\n\nTo read a description of the gate v2 validation check, see the section Gate validation checks for software experiments.\n\nTesting the data\n\nTo test the data, write the code\n\n#!/usr/bin/env python-dev # read from the main file -o rfc","text_sha256":"d436fd0ed5f4deb6b8dc40999bf6e8d31539ef117dbba58296c046a5c221863b"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1210000-57-technical_explanation-watermarked","seed":1211824,"text":" This helps to make the whole software experience feel like it has been done.\n\nYou can also find other articles that share a more complete analysis on the topic.\n\nWhat to Expect in Software Projects\n\nThe following articles will explain how to prepare for software projects.\n\nWhat to Expect in Software Projects\n","text_sha256":"15dad9777f1206ea46cbdf3753e1ced686ad004955d58005c71b8f31917f1400"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1210000-58-conversational_prose-unwatermarked","seed":1211859,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Keep your questions in English. Use natural punctuation to make them clear.\n\nUse natural punctuation to make them clear. Don't use verb phrases like \"cops\" and \"hockey\" while making your questions clear.\n\nUse verb","text_sha256":"d686e11e03243eaa1b9ae76961d2c15e2b8b3393c4c358d8c052136916185ae6"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1210000-58-conversational_prose-watermarked","seed":1211859,"text":" Use a natural conversational prose while keeping the explanation exact. A better, safer way to tell if the data is safe to access is to have a good, easy to understand way to explain the data and have a \"safe\" way to process it. This is how you should tell people how to talk in the wild","text_sha256":"f2bc9c8af7743d3f2b1b7a0586b6373c0951946f8da3ae02814aa93fcdb3ed15"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1210000-59-structured_instructional-unwatermarked","seed":1211888,"text":" Do not repeat the same sequence without any explanation.\n\nNote: There is no specific time limit on the number of steps and the number of steps needed to complete this step.\n\nExample\n\nFirst step: create a new command.\n\nStep 1: Create a new command.\n\nStep 2:","text_sha256":"1998f28a3f5e83229345e29459ad38a67ea116eab51f19b517e0efdede1e5973"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1210000-59-structured_instructional-watermarked","seed":1211888,"text":" Use a second or third step for a sequence of steps and a fourth step for a sequence of steps.\n\nFigure 2.2.2.3.1.3.3.4.3.4.4.4.4.5.\n\nExample 3.3.2.3.2","text_sha256":"ee2ca099da9a5d1455d71fa733aefb41ba6d8603157037366e174068076297eb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1210000-60-general_explanatory-unwatermarked","seed":1211920,"text":"\n\nWe will only use the basic concept of gate v2 confirmation replication and not use any advanced algorithms to verify that the system is correct or not.\n\nThis is a list of the known and unknown steps involved in verifying or verifying that the system is correct, but not by a full list of steps that can","text_sha256":"2a457f2f01c7a9bbc569cd99690f49a911cb426b121e728f645333afc1f23dcf"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1210000-60-general_explanatory-watermarked","seed":1211920,"text":" Use a clear and concise description of why the proof is needed in a brief and concise way.\n\n1.1.1. How do you test the concept of proof and the theory of proof?\n\n1.1.2. What is a proof?\n\nProofing, as defined in the original","text_sha256":"2c2fdc305f94ab5566437952b1d7477ecd202d32d5448ff38dbab7a657bfed8e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1210000-61-technical_explanation-unwatermarked","seed":1211952,"text":" See the article for details.\n\n1.2.1.1.1.1.1.1.1.2.1.1.2.1.2.1.1.2.1.2.1.2.1.2.1.2.1.2.","text_sha256":"2fd10361a87cb894881096fc0c393885fb42af99db84d1208f7881b65a1d1890"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1210000-61-technical_explanation-watermarked","seed":1211952,"text":" See the introduction to the Gate validation check for details on how to perform it.\n\n3. Implementing Gate v2 validation checks The following can be implemented in software experiments: The implementation of the proof of concept of the validation test in software experiments. Note that you can use the same software experiment as above. Implement","text_sha256":"001b88595d43b9f4017feba8f601578dbeb7bd59097b07547f0e4e7d87d2887d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1210000-62-conversational_prose-unwatermarked","seed":1211984,"text":" This way, the answers are easy to understand and to share with your colleagues.\n\nHere's an example of how the example is written:\n\n{-# LANGUAGE Expander, StdStrStrStr, SqrtFormat, SqrtEncoding #-} import qualified Data.","text_sha256":"a984b9cb133461470ee74a4514332a314205cddf87296004684d3bacaa2e0cba"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1210000-62-conversational_prose-watermarked","seed":1211984,"text":" This helps to get your point across.\n\nThe purpose of this blog post is to provide an overview of the use of gate v2 for gate v1 replication and see which changes are needed in order to get a replication speed increase. Please be assured that I am not a technical advisor to the company. I have","text_sha256":"bdd2d3ffd3718298454094bb371b328825053635530c17ec26db7186d1a9529f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1210000-63-structured_instructional-unwatermarked","seed":1212016,"text":"\n\nA simple test can be used to test whether a node is connected to a remote server or not.\n\nThe following two examples show how to use gate v2 confirmation replication in the following scenario:\n\nFigure 4.6.3. A Node Connected to a Remote Server Using Gate v2,","text_sha256":"88edcced8456e14d1eb3dfe6a13b8c9421a0b929351744fc906d0ce858e32b5d"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1210000-63-structured_instructional-watermarked","seed":1212016,"text":"\n\nUse a short three-step instruction for applying gate v2 confirmation replication in an experiment. Use complete sentences and keep each step concrete. Use a short 3-step instruction for applying gate v2 confirmation replication in an experiment. Use complete sentences and keep each step concrete.\n\nApply a simple 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diff --git a/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/README.md b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/README.md
new file mode 100644
index 00000000..859e77f5
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/README.md
@@ -0,0 +1,26 @@
+# Cycle 8 Gate v2 confirmation detector (seed 1220000, 64 pairs)
+
+One-shot formal confirmation of `cycle8-publishability-gate-v2`. Seed `1220000` and topic `gate v2 confirmation holdout` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero.
+
+Detector-after-sanitizer comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F/U+FE00 letter-alt v1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty.
+
+`decision.json` is the shared scale classifier and still says development classification. The Gate v2 confirmation claim is this README plus `cycle8-gate-v2-confirmation-scorecard-v1`.
+
+## Result
+
+| Arm | Identity / pristine WM | Mix required sanitizers WM | Mix UW | Visible mix WM | Carrier-free Unicode WM | Mix max |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| identity | 63/64 | n/a | 0/64 | 128/128 | 61/64 | n/a |
+| u034f-ufe00-letter-alt-v1 | n/a | **0/64** after every required sanitizer | **0/64** | **64/64** | n/a | 0.516419 |
+
+Required sanitizers on this corpus are all 0/64 mix WM: raw, nfc, nfkc, cf_strip, nfkc_cf_strip, ws_collapse, ws_collapse_nfkc_cf_strip, `lm_watermarking_unicode_sanitizer`. Diagnostic `required_bundle` is 63/64; it reconstructs the source and is not a pass condition.
+
+Closest mix watermarked row geometry only: `cycle8-1220000-61-technical_explanation-watermarked`, 192 insertions, score 0.516419, gap 0.040680 below threshold 0.557099. Residual text was not inspected to write lexical rules.
+
+Identity unwatermarked detections are 0/64 on this corpus. Mix unwatermarked detections are 0/64.
+
+Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Maximum transformed GPT-2 token count on scored mix watermarked rows is 602/1024.
+
+Combined with independent confirmation seeds `1200000` and `1210000`: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible mix WM **192/192**, identity WM **188/192**, carrier-free Unicode **182/192**, worst mix max 0.526739 from `1210000`.
+
+U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not reuse mix-freeze seeds `830000` / `840000` / `850000`.
diff --git a/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..672c7a48
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,3 @@
+86a47e8844d90bc5355704ac76803e6e2c96a0f15416f9716753d40b4d63066e  README.md
+063c533674c0daada90cabec84b0ae0ff035ab4384ea5f50895f7b1b0110d047  decision.json
+7597b9fe1f42189c9fee33ad337a4b8a140979634fea7512a4a8208c9c8affff  detector-compare.json
diff --git a/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/decision.json b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/decision.json
new file mode 100644
index 00000000..9057867c
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/decision.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":63,"notes":"This is Cycle 8 scale development classification, not confirmation. U+034F is not product-authorized. Do not inspect 830000, 840000, or 850000. Seed 880000 is PUBLICLY_EXPOSED by PR #98. Do not generate 950000 yet.","product_gate":"VISIBLE_INVARIANT_PASS","reasons":["visible projection passed on all scored U+034F/U+FE00 letter-alt v1 rows","U+034F/U+FE00 letter-alt v1 reduced raw watermarked detections without raising unwatermarked detections","raw transformed watermarked detections are 0 on this corpus","Cf-strip detections match raw transformed detections","NFKC and whitespace-collapse detections match raw transformed detections","combined sanitizer detections match raw transformed detections"],"transformed_arm_id":"u034f-ufe00-letter-alt-v1","u034f_cf_strip_watermarked_detected":0,"u034f_nfkc_cf_strip_watermarked_detected":0,"u034f_nfkc_watermarked_detected":0,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":0,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":0,"u034f_ws_collapse_watermarked_detected":0,"visible_failures":0,"visible_pass_rate":"128/128"}
diff --git a/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json
new file mode 100644
index 00000000..2920e19e
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifact_hash":"e1ec65072f1d41f7d62966e0d24b46bed6b800408dd60cd4697f31570e16e924","detector_access_used_for_selection":false,"geometry_rows":[{"arms":{"identity":{"arm_id":"identity","candidate_count":0,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":0,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true},"nfkc":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true},"nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true},"raw":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true},"ws_collapse":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","visible_ok":true}},"selected_count":0,"source_sample_id":"cycle8-1220000-00-general_explanatory-unwatermarked","source_text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","tokenizer":{"changed_token_estimate":0,"first_changed_token":null,"ids_equal":true,"last_changed_token":null,"original_token_count":64,"suffix_alignment_tokens":64,"token_count_delta":0,"transformed_token_count":64},"transformed_text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","utf8_overhead":0,"visible_ok":true},"u034f-ufe00-letter-alt-v1":{"arm_id":"u034f-ufe00-letter-alt-v1","candidate_count":192,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":192,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true},"nfkc":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true},"nfkc_cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true},"raw":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true},"ws_collapse":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":false,"equals_transformed":true,"text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","visible_ok":true}},"selected_count":192,"source_sample_id":"cycle8-1220000-00-general_explanatory-unwatermarked","source_text_hash":"29cfe8c1ec491030dd2c29abfc4d2358a7941815cc8867f84241e3d2a9b9452c","tokenizer":{"changed_token_estimate":591,"first_changed_token":2,"ids_equal":false,"last_changed_token":63,"original_token_count":64,"suffix_alignment_tokens":7,"token_count_delta":529,"transformed_token_count":593},"transformed_text_hash":"9c4a9782d1cefae3a728d260eeaf5ed4d16e8ddd5974955719e28c5940d3e084","utf8_overhead":480,"visible_ok":true}},"domain":"general_explanatory","label":"unwatermarked","sample_id":"cycle8-1220000-00-general_explanatory-unwatermarked"},{"arms":{"identity":{"arm_id":"identity","candidate_count":0,"fail_closed_identity":false,"hard_invariant_blocked_count":0,"inserted_count":0,"projected_equals_source":true,"protected_blocked_count":0,"quote_blocked_count":0,"sanitizers":{"cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc42ce478fcf8ba7773a7437772c3d0c5cfc02f41f0bcd7b","visible_ok":true},"nfkc":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc42ce478fcf8ba7773a7437772c3d0c5cfc02f41f0bcd7b","visible_ok":true},"nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc42ce478fcf8ba7773a7437772c3d0c5cfc02f41f0bcd7b","visible_ok":true},"raw":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc42ce478fcf8ba7773a7437772c3d0c5cfc02f41f0bcd7b","visible_ok":true},"ws_collapse":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc42ce478fcf8ba7773a7437772c3d0c5cfc02f41f0bcd7b","visible_ok":true},"ws_collapse_nfkc_cf_strip":{"equals_source":true,"equals_transformed":true,"text_hash":"94d3d1723b0c1782fc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Create a validation check that evaluates and rejects all of the checks.\n\n4. Create a validation check that performs the validation check. The main idea is to check that the validation check fails when the validation check has failed.\n\n5. Create a validation check that performs the validation check. The","text_sha256":"2624eec6bd4ac3e3477ca10f3c5def2471cd9fff39f9a1d02fdda3fa1efecd44"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1220000-01-technical_explanation-watermarked","seed":1220032,"text":" Define an algorithm that can be used to validate a secure file.\n\nIn software experiments, verify and confirm a file using two inputs: the key to the document, and the key to the key to the key to the file. The validation check is used to check whether a key to a file has been validated","text_sha256":"faca27d9ece7b5523817fa3a45d8d304435142517bd1a1025d1059aac0d53a8d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1220000-02-conversational_prose-unwatermarked","seed":1220064,"text":" If you have to explain a topic, use natural non-consequentialism (a.k.a. natural grammar).\n\n\n1.6.1.1. Examples\n\nThis is the example I have given for gate v2 confirmation. I'll explain how to use this in a moment.\n","text_sha256":"46b1e6a3c8d046c5861f262914dd4e198f59474569cf294b68ecfb8d3104fc20"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1220000-02-conversational_prose-watermarked","seed":1220064,"text":" Use a quick, elegant syntax, and your speech will get along for the life of you.\n\n6. Make sure the interviewer can recognize the person you're interviewing. This is especially important for students. The interviewer is very likely to be able to recognize you as an English speaking person, but not the person in","text_sha256":"c19731853169b38bcb5dc19becc9377834309dc4efdcf266e7be8009fcb6f7d4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1220000-03-structured_instructional-unwatermarked","seed":1220096,"text":"\n\nLet's do a quick video demonstration of how to apply a gate v2 confirmation holdout. To complete the video, download the demo version here: http://youtube.com/watch?v=3H-4tJwXqUw\n\nIf you have any questions or comments, please","text_sha256":"30f0e2d59f28350b9a752461a45bc299129a52dcbcb038e5323016a77f184fb6"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1220000-03-structured_instructional-watermarked","seed":1220096,"text":"\n\nLet's do a quick experiment. Take an action to apply the gate v2 confirmation holdout. In this step, we try to apply the gate v2 confirmation holdout in an experiment. In each step, we put the gate v2 confirmation holdout in the same order as before. After applying the","text_sha256":"9c4ef2869c9552e70bb7da70f79eb9654392d41bf0bf4c4256f1367b81ee8213"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1220000-04-general_explanatory-unwatermarked","seed":1220128,"text":"\n\nWe suggest a number of steps.\n\n1. Read the document, and write the following:\n\nI. Provide an explanation of what this document does:\n\nI. Explain why gate v2 confirmation holdout matters in careful scientific work.\n\nII. Write a sentence with a summary of","text_sha256":"6a734dfb859490dc2ed479c0049cda0c12626b54288e6a582712ad0175505af0"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1220000-04-general_explanatory-watermarked","seed":1220128,"text":"\n\nWe have a good understanding of why gate v2, gate v3, gate v4 holdout matter, and how this explains the reason why gate v2 holdout matter matters in precise scientific work.\n\nWhat happens if you write one paragraph without a list?\n\nA lot of people assume that","text_sha256":"77cf438e4d55afe75be85c1b066fa2125ba4f35fc8bd2edf142ed2078bf6e500"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1220000-05-technical_explanation-unwatermarked","seed":1220160,"text":"\n\nCreate a new proof of concept in a test suite. Use a test suite as a way to verify the security of your system.\n\nUse a software testing framework (e.g., Go, Java, Python, etc.) to automate the verification process.\n\nUse a database in a test suite to","text_sha256":"f4a4de0b23ab481a2143a3276169111bca56fd8f4ae417bafe450d4fe1538a10"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1220000-05-technical_explanation-watermarked","seed":1220160,"text":" This is really important for software experiments.\n\nExample 5\n\nThe example is as follows:\n\n{-# LANGUAGE CORE OPTIONS #-} import qualified Data.ByteString as B.ByteString as C as S import qualified Data.Sized as T from datetime import dat","text_sha256":"2c3a371f212122d5a81c5cecafd70ef0dc350e7900377518fe3286c968b336d1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1220000-06-conversational_prose-unwatermarked","seed":1220192,"text":" When a colleague has a question to ask, ask what they are talking about.\n\n4. Use natural language\n\nRemember that natural language is a great tool for helping you to avoid mistakes. It's not the way to explain a problem to your client, you should say it to them without any additional words.","text_sha256":"104ebd233b53f7f26cdbb27b6a5712af84534a762e5b531eafef7dcee9c1404f"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1220000-06-conversational_prose-watermarked","seed":1220192,"text":" I was just told the gate v2 confirmation holdout is NOT an issue for non-technical speakers. Just to clarify, I am not a conversationalist. I am a conversationalist. It is not my job to explain why there are no gate v2 confirmations. In fact, I do not speak","text_sha256":"dff172f781598320d5dc45fea53c3d2e88bccddd64f47e060dc1a5352c6e4533"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1220000-07-structured_instructional-unwatermarked","seed":1220224,"text":"\n\n1. The keywords that are used to describe the problem,\n\n2. the conditions which are applied to the problem,\n\n3. the results of the trials,\n\n4. the probability of obtaining the answer from the problem\n\n5. the probability of obtaining the answer from the problem","text_sha256":"22600e24b633a80da84be6c24c7ed199197c58b3b374b4ff3a2788b248c401fd"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1220000-07-structured_instructional-watermarked","seed":1220224,"text":"\n\nUse a test circuit for the test circuit to see how well your experiment is working.\n\nUse a test circuit to test for your input gate v2 confirmation holdout. In your test circuit, you want to pass on the test by sending a second gate v2 confirm send message and then pass on the","text_sha256":"c88d5be6055d6b7725a55e5443ae117a6f248342ccc33fd573f4d5c3369e1d65"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1220000-08-general_explanatory-unwatermarked","seed":1220256,"text":" Explain why the gate v2 confirmation holdout is so difficult to apply.\n\nThe best way to get these answers is to take a moment to imagine what your problem is.\n\nTake a moment to imagine what your problem is.\n\nThe second step is to apply an algorithm to the problem. This is","text_sha256":"7a4c539c7edcc865c1384997290d84fea0fbf1d78241c2148c068bac2e7e2901"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1220000-08-general_explanatory-watermarked","seed":1220256,"text":" This way, you'll have a clear explanation of why a particular gate holdout is important.\n\nStep 3: Read the Data\n\nA random number generator will use any data that is available, including data that is not available at the time of the calculation, such as an input of 1. You will then","text_sha256":"b2b4c787ced08f3a10e514f0a523f3de348149f1468e818d3acd95527ff25a01"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1220000-09-technical_explanation-unwatermarked","seed":1220288,"text":"\n\n5.0.3 If you are using open source software and you have a small amount of code, it is possible to have a full-blown test suite, that can be run on a few platforms. You could also write code that can only be used on one platform. Some programs have an experimental mode","text_sha256":"929d4542bf5271c3422f565901dd8be2b25daf0db110ec4925d5ab4705c21e82"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1220000-09-technical_explanation-watermarked","seed":1220288,"text":" In particular, check for any errors, including when the validation is successful. Check all failure modes. Define a test-run script.\n\nHow do I create a virtual machine with Gate v2?\n\nThe virtual machine can be any virtual machine on a computer. The virtual machine can also be any virtual","text_sha256":"839b283edf4b9d81f67b30ba1e798964ad877e4668586759ba99a63043d37db2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1220000-10-conversational_prose-unwatermarked","seed":1220320,"text":"\n\nThe next time you have an event or business you want to explain, let your client understand why they need to do it.\n\nFor example, when you say, \"This will be fun tomorrow,\" you don't say, \"If you can't make this, tomorrow you can't do this!\" It","text_sha256":"ae9bee1464a025c45af1159f5dcceba15608e87e8ed70cd974aaf43658854bd5"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1220000-10-conversational_prose-watermarked","seed":1220320,"text":" Don't let the sentence make any sense to you.\n\nUse simple, simple grammar and make use of the verbosity you can find in the verb phrase.\n\nRemember that even the most important words in a sentence can be subject to modification by other parts of the sentence. For example, the sentence \"She","text_sha256":"6a5ed32a83a75c63afed4e27c477c9f878bc8ce1591836eefe2b1846104c8d6b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1220000-11-structured_instructional-unwatermarked","seed":1220352,"text":"\n\nUse a single character (E or E+4) to mark an instruction.\n\nAn E or E-8 character is used to denote the next step. Use E-4 to mark the next step and E-8 to mark the next step.\n\nThe E and E-8 characters are","text_sha256":"fc17a429ffa3ff95dd1360153cf42f21cf46f8ff8fea3c2199f727be1efd794e"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1220000-11-structured_instructional-watermarked","seed":1220352,"text":" Use a single or two-step step to apply gate v2 confirmation holdout for a single step of a single instruction.\n\nA single-step step is always used when multiple steps are applied. The instructions will be applied to the same or different steps.\n\nA single-step step is always used for","text_sha256":"7b3a1673a56ea02b710f6eab2c8f936ceb2831706af6493588a1d135ec2d2146"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1220000-12-general_explanatory-unwatermarked","seed":1220384,"text":" Don't worry about the details. Just make sure you have plenty of examples to demonstrate what you mean.\n\nSo how do we get people to do this?\n\nHow many people would take this sort of thing?\n\nHow many people would take it a step further?\n\nHow many people would take","text_sha256":"abb20ac51d528c18458327bae4c7a623d582b972f5f011ef882b7f176d23d007"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1220000-12-general_explanatory-watermarked","seed":1220384,"text":" Don't worry if you don't understand some of the reasons why gate v2 is important. I'll try to explain how I explain it in the comments.\n\nThe most important reason that gate v2 is important is that there are many problems with the way in which the key may be stored. A typical example","text_sha256":"91c2ab471e7212c5f755d4f91fe11bfb96a8f238e89c370a094e2c72c9280c89"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1220000-13-technical_explanation-unwatermarked","seed":1220416,"text":" Explain why the failure mode failed, and how it affects the validation check.\n\nConcepts\n\nIn the following sections we will be discussing concepts and concepts which can be used to help implement a program that is able to validate any type of data that is entered. It is very important to make sure you understand","text_sha256":"fdc6a34f83ed35dad2e6b25db6260c90e32e27d4baaf678464121fec98ba0f6f"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1220000-13-technical_explanation-watermarked","seed":1220416,"text":" Check whether the failure mode is enabled or disabled. Use of a block device (such as a router) is recommended for the checks.\n\nB. The check for a failure is performed using a block device that holds an unread message. This device may be used for a block device that has a status file,","text_sha256":"0bd6692f3979d3748032ff01b5b3d08a12ffb3e77bd0eaef9a379cd3bcf7d6bb"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1220000-14-conversational_prose-unwatermarked","seed":1220448,"text":"\n\nIf you are going to share your thoughts on the topic, it's important to remember that the person who is not listening to the question, will not understand the purpose of the discussion. The person who is not listening will be confused by the question.\n\nThe person who is not listening to the question can","text_sha256":"90c0912bb82adea966f03a3007e2cf88620bc5d88e8b3bc074d7c91e3ef9dffc"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1220000-14-conversational_prose-watermarked","seed":1220448,"text":" You'll learn more about how to get your answer right, why it matters, and what to say if you're unsure.\n\n5. Tell a story of your own life.\n\nTell a story of the life you've had. This will help you learn more about your own life. A friend who likes","text_sha256":"fef803e9f9571b45e1772a47db5559692ce5a3fb5dbe5e4bd2ea69444b64b2e5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1220000-15-structured_instructional-unwatermarked","seed":1220481,"text":" The final step is to show the proof of the proof by using some of the pre-procedure methods.\n\nThe basic idea is this: Suppose you have an experiment. Suppose you find that there is some proof of the existence of the existence of the experiment. Suppose you have a proof of the existence of","text_sha256":"3172e29cf1a4f0957872046d5b550ea083ed3301b6c166e363eb903d3ca97bbc"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1220000-15-structured_instructional-watermarked","seed":1220481,"text":" Use a sequence of two or three words or even a few words. Remember, this is your first step to getting a good idea about how a circuit works.\n\n3. The circuit will be tested if you can find a positive circuit for you\n\nTry to take two steps to test the circuit\n\nStep","text_sha256":"9d574d8294df3636f98374c734b54c41cf5b5c76ab9538b2d85bd6317ab68a68"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1220000-16-general_explanatory-unwatermarked","seed":1220512,"text":" Use an example. If your computer is running Windows 7, this is likely to work. If it's running Windows 8, you probably don't need to tell me which version of Windows it is. But it does make it less likely that I'll have to send you two more email alerts about a new release.\n","text_sha256":"43d025c1c196d76c5b06f74ec653334afded17ace1e2fe2edaf4ab06b72fd4de"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1220000-16-general_explanatory-watermarked","seed":1220512,"text":" Use a single sentence of a sentence to describe why gate v2 confirmation holdout matters in careful scientific work.\n\n\n\"The question of gate v2 confirmation holdout is an interesting one to discuss in a scientific paper. However, there is something very curious about this question: how does a large number of gate v","text_sha256":"336760e4463fb10969aeb68e8389a7cca4f0722dfe8a6666a1201aef81f42230"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1220000-17-technical_explanation-unwatermarked","seed":1220544,"text":" You can also perform validation checks of the test code against the test results.\n\nA successful test will not include any validation check which means that you will have to perform a validation check to ensure the code does not fall into the miscellaneous test failures.\n\n1.2.5 Testing is performed using a set","text_sha256":"fec691aa00a3ff350ecd31ff7d4320b36a6e1448e1a0b97e15403ada1889749f"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1220000-17-technical_explanation-watermarked","seed":1220544,"text":" You can also perform such a test in various ways, like by using one of the keyloggers.\n\nExample\n\nHow do I check a keylogger's keylogger.yml?\n\nThe main idea is to determine the keylogger's keylogger.yml file by looking","text_sha256":"6271da571d758962ad540537e4d60b148df2b36e80a6b0717248b6182ea2a0b7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1220000-18-conversational_prose-unwatermarked","seed":1220576,"text":" This may sound odd, but the simplest explanation can be to say the rule of law is the same for everyone except for the one who does not have a good reason for having a good reason for not having a good reason. If a person has a good reason to keep the \"good reason,\" then the person who is","text_sha256":"2aad3384151a3ea5d9a0a57303d5f5db6109c25b278c15197730cd955f39595e"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1220000-18-conversational_prose-watermarked","seed":1220576,"text":" This means avoiding the use of the verb \"to\" to refer to the verb. In the first sentence, you don't need to do this, just ask yourself if you actually understand the situation.\n\nWhen you're done with your sentence, let's say you've written an answer to \"why gate v2","text_sha256":"b44665e341cea933c0ce3041db9c5d9f5d1b15fb0f04887c16636d51da5cddf4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1220000-19-structured_instructional-unwatermarked","seed":1220608,"text":"\n\nI have been using this method to generate a program that I can use when writing a program on a computer. It's basically the same as writing a program on a computer that does everything I need to perform a given task on the computer.\n\nNote: I've added a test program that generates a program","text_sha256":"8e09e08054b94a60eb7374aeea550bffc763ef6376925e23f997d9a7e0395433"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1220000-19-structured_instructional-watermarked","seed":1220608,"text":" Use a second line of instruction to apply gate v2 confirmation holdout in an experiment. Use complete sentences and keep each step concrete.\n\n5.5.3.1.3.3.4.4.4.1.3.5.1.3.2.1.2.1","text_sha256":"04c06f00a116599f9c2bbd33522e9bbcfc79b6ce1aff290032bbdeb58463539c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1220000-20-general_explanatory-unwatermarked","seed":1220640,"text":"\n\nHow to use Gate v2 Confirmation\n\nIn the following example, we assume that you are in the \"correct\" place.\n\nWe will use your browser to try to type a confirmation message into the terminal. To do this, go to the terminal, click on \"Change tab\", and select","text_sha256":"eff206f09db0477ade6ab948eacd9e037d8d8d5d4fc7274f7c90e82e4852520d"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1220000-20-general_explanatory-watermarked","seed":1220640,"text":" Use a list of all possible responses to a question. Write one single sentence, with all possible responses.\n\nA \"correct\" or \"error\" statement will probably never be published.\n\nIt can be hard to find out what actually happened or what could happen to someone in a timely manner. Some information is","text_sha256":"480bf987c02a9d6c183717887fda57147758ef229ad724846e2c0cd0cd55f62c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1220000-21-technical_explanation-unwatermarked","seed":1220672,"text":"\n\n2. Define the basic steps to validate the data before the experiment.\n\n3. Define the final state of the experiment.\n\n4. Define the final state of the experiment.\n\n5. Define the final state of the experiment.\n\n6. Define the initial","text_sha256":"40de5d13ad752d8a8af04489dffa0e41487b15054e0f2f1392c0bb41c3588e63"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1220000-21-technical_explanation-watermarked","seed":1220672,"text":" For an example of an error, see the following video, which explains the details.\n\nHow does this work? A proof-of-work test is used to confirm the existence of a gate in software experiments. You can find out more about the rules and how to use them here. The test is called a","text_sha256":"84c0e026d46d67c5b34048ce02592feebda8b4f0f857e53dbdffd6c308a3e5d2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1220000-22-conversational_prose-unwatermarked","seed":1220704,"text":"\n\nThe next two examples should be easy enough to understand. First, there is a simple reason why gate v2 confirmation holdout matters.\n\nConsider the following example:\n\n\"The next person to ask you that question is going to come from my house. I think that a certain person in the office","text_sha256":"478e4015933f08635aa1a5112ff0d66305ff8e9dc2461bf31ca312237a30f7a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1220000-22-conversational_prose-watermarked","seed":1220704,"text":" Use a good example.\n\nFor example:\n\n\"I'm going to go on to some of my favorite restaurants. I can't wait to get to one, but I can't wait to walk around in it. Can you imagine when the place opened? I know we can't wait to get to one","text_sha256":"de51ae581a824003cc367222cd5505e828c5c9a062ffc035d4d9a25e7bdf4c1b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1220000-23-structured_instructional-unwatermarked","seed":1220736,"text":"\n\n4. Use a word list to find out what type of operation you should perform on the computer, using the following examples.\n\nStep 1: Make the computer unplugged\n\nStep 2: Open up a terminal, type (as described in the introduction to the method) \"exit\" and press","text_sha256":"a25f5e82ee62fde096e2eb4b95daeec6ed20971df0c9261d873abbf8eeaa9ace"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1220000-23-structured_instructional-watermarked","seed":1220736,"text":" Use a second step to apply gate v2 confirmation holdout. Use a third step to apply gate v2 confirmation holdout. Repeat until all three steps are complete.\n\n5.5.3.1.3.3.3.3.4.4.4.5.\n\n4.","text_sha256":"aaa365c268e9cb37ab6a85671debdd245d2af78b5d4b17cca72553a2f9f7aa66"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1220000-24-general_explanatory-unwatermarked","seed":1220768,"text":" Write one coherent paragraph without a sentence. (You might even write a sentence in a sentence. This is also useful for debugging. But it can be extremely painful and it is probably worth the effort.)\n\nThere is also a third method of explaining why no-one wants to do the experiment. \"There is an","text_sha256":"085e900d5f4fb5f53b0a16c92487b510678bd08b6815a8a5e037a551c5d95441"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1220000-24-general_explanatory-watermarked","seed":1220768,"text":" Use a simple rule to specify what proof you want to prove. Write an argument that makes clear what you want to prove. This is usually a very good way to demonstrate that it makes sense to test an idea at the first opportunity.\n\nA new idea that you think can be built with simple rules\n\nOne","text_sha256":"1064b7850ac24768d39eaa9e40410393dfb11b98540447c0ae689ac0540581a7"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1220000-25-technical_explanation-unwatermarked","seed":1220800,"text":" Define a validation check that reads the validation check data from the validation check. Define a validation check that reads the validation check data from the validation check.\n\nThe validation check can be read from the validation check data. In most cases this is done via a C++ function, such as this one. However","text_sha256":"9b4030b7bcfdd3de3b5a347762c073c0c79465b1be4efe08f0b2e8d51f76acc1"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1220000-25-technical_explanation-watermarked","seed":1220800,"text":" Define a check for each security condition with the security condition parameter being the check. Specify a number of check parameters: The check is a single check that will check the checksums of the different checksums on the specified database. The check is a one check that will check the check points of the specified database.","text_sha256":"37d2f4dee5f5ed430566395d82a77a2017d04df516772c71a1219d6bcbfc2471"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1220000-26-conversational_prose-unwatermarked","seed":1220832,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Use non-standard language like English, Italian, Chinese or Japanese.\n\nUse the right-hand side of a screen to open a document.\n\nUse the left-hand side of a screen to open a document. Use a standard, non","text_sha256":"18f5ce9b769b82305cee0a62b7774b3c304e20ce93ca85cd2a4da77b5fa9f47a"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1220000-26-conversational_prose-watermarked","seed":1220832,"text":" Use a language that makes no distinction between the words. Don't put any restrictions on how long you can remember. A word can seem to have only one meaning. The first thing you need to know is how long it will take to write something.\n\nDo not try to be too precise about what you say.","text_sha256":"813aaea5fbadeef1754bb73e02f0cc5ea0d209243615c43cf3a69593a5bec31c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1220000-27-structured_instructional-unwatermarked","seed":1220864,"text":"\n\nYou can set a timer to a few seconds to allow the test to run in a few minutes.\n\nUsing the test with the above test, you will see that it can be done without any of the negative effects, so you can get a more realistic and accurate results.\n\nIf you have any","text_sha256":"a8380b520ae566ebfa335e506bc63f9039f4474915b8d5bb389a1e7d04b5be02"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1220000-27-structured_instructional-watermarked","seed":1220864,"text":" Use a 3-step instruction for applying gate v2 confirmation holdout in an experiment. Use complete sentences and keep each step concrete.\n\n5. Use a short 3-step instruction for applying gate v2 confirmation holdout in an experiment. Use complete sentences and keep each step concrete. Use a 3-step","text_sha256":"ceb9ed9bbfc1b01ee5c5c587a3320d65fa65e57b78aa2f8076d22426eecbefc1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1220000-28-general_explanatory-unwatermarked","seed":1220896,"text":"\n\nThe final decision about whether a gate v2 confirmation holdout holds is not made until the final confirmation holdout has been satisfied. The final confirmation holdout is then issued.\n\nWhen one or more of the following criteria are met, the gate v2 confirmation holdout can be issued:\n\nThe","text_sha256":"f5b79fba4767b05eb67e740e686d29fa5f0f85cafd118be1957c9e577ffcc54a"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1220000-28-general_explanatory-watermarked","seed":1220896,"text":" Use a \"yes or no\" question. Ask the person who is using your information to answer questions. Don't have a time to write. In the end, your answer will remain the same. Use a \"no\" question in writing or on the computer. No answer is good enough for you.\n\n5","text_sha256":"be8a33a8f483f9278c2d1cd7cf68e9ff3081c72ba3cdf127df0eb33e727c2884"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1220000-29-technical_explanation-unwatermarked","seed":1220928,"text":"\n\nWhen you first run a software experiment you'll want to perform a validation check of the first validation check.\n\nThe main idea of a validation check is that it asks if a certain condition is met in your testing environment, and asks if it's possible for that condition to be met. That's what the","text_sha256":"2e3c349af5862ea56a8b1a4784d1691f2a117401e8b1a4692b4f9b5672b1e896"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1220000-29-technical_explanation-watermarked","seed":1220928,"text":" Set all parameters to zero. (Note that some of the parameters may change before the validation check is complete.) The validation check needs to be checked for validation, which is an operation that has a certain time interval. For example, the time to validate the input field is about 4 minutes. If validation is completed during","text_sha256":"2f886fcd9d8bc6311c68aba1325ebe772b67f6fab0ec6441b9e9707dab334aac"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1220000-30-conversational_prose-unwatermarked","seed":1220960,"text":"\n\nWhen you're doing something simple, ask, \"Why should I care about it? Why should I care about it now? Why should I care about it now?\"\n\nWhen you're in the middle of a sentence, make it a word-for-word translation, similar to the way you talk about","text_sha256":"75d8f78bf1576f9fc3fe7b017b1e621e35ef92104a523a77ffc1d636560c229c"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1220000-30-conversational_prose-watermarked","seed":1220960,"text":" Use a good English-speaking dictionary.\n\nYou don't need a lot of experience in this part of the world to get this, but if you do, you should do it. This is easy. Try to speak very clearly.\n\nWe'll get into how to handle any problem before we get to that","text_sha256":"4d78a9e92b8f6e2318124b043afe08b5e8d4e65b23aef668ecc593e8162d7256"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1220000-31-structured_instructional-unwatermarked","seed":1220992,"text":" You can also use full sentences in a series of experiments. The final step is to set the control value for the variable to 0.\n\nThe control value is the value of the value of the gate v2 confirmation holdout variable. The control value is the control value of the control vector for the gate v2","text_sha256":"d1a9091f1ed97fa28807c04db607fb5cdf04421587906f2efbba7c232aa801de"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1220000-31-structured_instructional-watermarked","seed":1220992,"text":" You'll probably need to write in short sentences before you can write in long sentences (the longer the sentence, the more interesting the results).\n\n4. Use the same procedure for calculating the number of gates, but with more frequent access to the terminal for the number of gates. This is because the number of gates","text_sha256":"b402e190800cf81b7c227724fb5ee30871bc61c619de55f931af3b36d87ce538"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1220000-32-general_explanatory-unwatermarked","seed":1221024,"text":"\n\nIn other words, what is the difference between a \"gate v2\" and a \"gate v1\"?\n\nConsider:\n\n\"Gate v2\" is that it gives us a \"correct\" confirmation of the \"gate v1\" confirmation.\n\nThat's pretty much what I mean,","text_sha256":"86a728173b9e25e8c814cdf9e9b2dc2a61ea17da790750dd1caa652adf523260"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1220000-32-general_explanatory-watermarked","seed":1221024,"text":"\n\nUse a short and unambiguous description of why a person has a gate v2 confirmation holdout.\n\nUse a descriptive paragraph that indicates why someone has a gate v2 confirmation holdout.\n\nUse a description that will explain why someone has a gate v2 confirmation holdout.\n\nUsing information","text_sha256":"57f448d953fa8c5db9d8a0a358c0180718116cddd2f5bf2c3124c77e602cf274"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1220000-33-technical_explanation-unwatermarked","seed":1221056,"text":"\n\nCreate a new program.\n\nCopy and paste the following code from the previous step:\n\nfunction foo_send_to_client ( s ) { let client = this . send_to_client ( ) . send ( ) ; let validate_check = this . validate_check ( ) .","text_sha256":"0994d92b7232b4c24256bf9aec8612188875d748eebf02e72c6f79e23350e7d6"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1220000-33-technical_explanation-watermarked","seed":1221056,"text":" Define the key to holdout as a validation check and assign a key to the holdout. Define the key to holdout as an extension of the key to holdout. Define the key to holdout as a keypair. Define the key to holdout as a keypair. Define a","text_sha256":"a9a072765179bc3ce269d1c741356bf272d1c08dae47476306be93682b23111c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1220000-34-conversational_prose-unwatermarked","seed":1221088,"text":"\n\nIn the same way, don't try to give a vague answer as your question. The only way to answer a difficult question is to show the answer.\n\nAsk questions about other people or about a particular situation or something. If you don't answer your question correctly, you may need to go back and","text_sha256":"1a8c1f84847ce4489a6aebf3ed03b6cd33d603af0fc0563c6a555fc212efdddb"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1220000-34-conversational_prose-watermarked","seed":1221088,"text":" Use a few sentences that are very concise. Keep the reader guessing. Be as honest as possible and only use what you know.\n\nYou can also read this book at:\n\nThe New York Times Book Review\n\nhttp://www.nytimes.com/2011/02/09/us/the","text_sha256":"ca52a7cac501cea82d985814ee0884024d2c50fade8fbce61910d9110b6869bd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1220000-35-structured_instructional-unwatermarked","seed":1221120,"text":"\n\nThe method is called 'Theorem 2' (see chapter 3.2), but it is an idea that was first proposed by Eric Schoenz and is a useful guide for many beginners. The idea is to solve a problem that has a non-standard solution, with a standard input, and the solution","text_sha256":"f25c94f9782aa9b5da51c7c4cb4ff923f8fffa669ec099144f6e3c0ad5ea699f"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1220000-35-structured_instructional-watermarked","seed":1221120,"text":"\n\nThe method is called \"Theorem 5\".\n\nTheorem 5. Theory 1. Theorem 5. Theory 1. Theorem 5. Theory 1. Theorem 5. Theory 1. Theorem 5. Theory 1. Theorem 5. Theory 1. Theorem 5","text_sha256":"9d1f2aebcc9641b27ebfb16f5693f149c46186975fc131d9a247fcf205c29631"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1220000-36-general_explanatory-unwatermarked","seed":1221152,"text":"\n\nLet's take a closer look at some of the issues raised in this post.\n\nQuestion: Are gate v2 confirmations invalid?\n\nMany people believe that gate v2 confirms the validity of a certain transaction, like a coin. And they often assume that the correct coin is sent to the coin","text_sha256":"efd238b135a30d3291258ab009d12a216b6562887ee3dfe1a268a2a758493a3d"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1220000-36-general_explanatory-watermarked","seed":1221152,"text":" Use a good English sentence structure.\n\n(see above)\n\n(see also: see also: (edit)The following paragraphs are excerpted from the book, The Key to Success. The original article was written by Michael C. Kohn. C.Kohn is an associate professor of philosophy, and","text_sha256":"32d0ae8cce14cf89eea7afa0e5fc6dd1df75ee7271ab1e504188bc12df788c1f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1220000-37-technical_explanation-unwatermarked","seed":1221184,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main idea of validation: validate the user, and validate the user's own validation.\n\nvalidate the user, and validate the user's own validation. Define the main idea of validation: validate the user's own validation","text_sha256":"00e8398d2b73e7f903facf7ed1bab90a2bc6fca1e1e31749468e5523ac9e838c"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1220000-37-technical_explanation-watermarked","seed":1221184,"text":" This is how it is done in the real world.\n\nFor example, you can see that a failure mode that looks like this:\n\n[defn validate-only] [message-body] [validation-check] [validation-block] ...\n\nIf we are going to validate a","text_sha256":"d318512333442eea0bc6cee760a05001effda311874158735cd160f29d00544e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1220000-38-conversational_prose-unwatermarked","seed":1221216,"text":" The way to do this is to use a natural conversational prose. Don't tell a colleague how to pronounce the word, or how to pronounce it, or where to start. Use a natural conversational prose.\n\nIt's the way to go, right?\n\nYou can use a natural conversational prose","text_sha256":"3015b224c1d8126aee847ec5a3de2024f6e03ec37e106a2e2143869b79ee5145"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1220000-38-conversational_prose-watermarked","seed":1221216,"text":" Use a \"no\" when you're looking for the answer.\n\nGet ready to talk in a way that's easy for you and your colleagues. Try to get the most out of your conversations by making sure you're not taking the wrong notes or taking things too long.\n\nIf you don't understand a","text_sha256":"78831a1697c98c449c431ac5f25d8720dccda7791c850a33008bf13a5209e51d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1220000-39-structured_instructional-unwatermarked","seed":1221249,"text":"\n\nIn the first place, make sure you have a working gate v2 confirmation holdout. The best way to do that is to use your working gate v2 confirmation holdout. For example, you can do this:\n\nNow, do this for any part of the program in this experiment:\n\n","text_sha256":"acf0d0895afa939c7bb6e9dc569f045d43eae3a615097e9ea03127c174cf8ce9"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1220000-39-structured_instructional-watermarked","seed":1221249,"text":" Use a second or third step to apply the gate v2 confirmation holdout. Keep track of the step progress and progress in the lab.\n\nTIP: The gate v2 confirmation holdout is an excellent example of a small program to use to confirm a test.\n\nThe Gate v2 confirmation holdout","text_sha256":"d0a9a59ef9ba7d46706c0522ea321e5df2c530f804211c84d0bd5f8604707343"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1220000-40-general_explanatory-unwatermarked","seed":1221280,"text":"\n\nA key point to note here is that even if you know the answer, you can't really say that this particular letter is a letter. The real question is whether it is a letter.\n\nIt's important that the reader understand the meaning of this question.\n\nThis question is easy to answer,","text_sha256":"a22a8be872ff4a1727022a2bc2e398ba52363250381466b4c4e129f9ad1d60ba"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1220000-40-general_explanatory-watermarked","seed":1221280,"text":" Consider a simple, generalizable problem. First, consider the two lines of code that are shown in Figure A-3. For this example, let's assume the following program is shown in Figure A-2:\n\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19","text_sha256":"3cc2fe542fc93d47745216a5c2b6e7eb2df6ffe4e9e72967f8072feb3fb6b80d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1220000-41-technical_explanation-unwatermarked","seed":1221312,"text":"\n\nA.1.1.2: The main idea of gate v2 is to validate the validity of the input and output and use the two-way validation of the input and output to validate the validation of the validation check.\n\nA.1.1.2: A validation check can only happen","text_sha256":"7258b463485820f29c5e3397a69222136de0f14c9ed18eb843806e06c80e5088"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1220000-41-technical_explanation-watermarked","seed":1221312,"text":" Use a list of validations to verify the validation. Verify the validity by using a list of validated parameters. If the validation is confirmed with the specified validation parameters, the test is repeated, so it is considered valid.\n\n2.1. Testing for failure of gate v2\n\nA new gate is used","text_sha256":"299d5d66aa449b8738f6ec053e724dfca9b0907a709fab43489cd3010fb2bf75"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1220000-42-conversational_prose-unwatermarked","seed":1221344,"text":" For example, I can say \"I've never seen an egg before. It's just like the way you would describe it to an egg.\" This makes it a more natural and logical explanation of how your egg came to be.\n\nYou may want to take a moment to read about this topic in detail. But","text_sha256":"c59a1f1372693ee43220e31de9786dc5aee297a369dc23e714aae3e49c5207a0"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1220000-42-conversational_prose-watermarked","seed":1221344,"text":" Don't use a verb or a verb block that is ambiguous.\n\n4. You are a person who thinks the universe exists, not a person who thinks it doesn't.\n\nThis might sound obvious to you, but the problem with saying that there's no universe is that it's not clear. It's","text_sha256":"6d74d8cc81f2b88c44a48ccc1a013209923fc2e39df46aaf287a377005a9c0fd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1220000-43-structured_instructional-unwatermarked","seed":1221376,"text":" Use a single word to describe the action in the sentence.\n\nThis example, which illustrates a single step, is shown below. The sentence, \"A gate on the fence can change the world\"; is taken from the book, \"Beware of the gate\" by Richard J. Williams and Thomas J. Wilson","text_sha256":"038be8b04dd483f00353f1bede7316d39f8cb1a6177a4923a35ce929b857a220"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1220000-43-structured_instructional-watermarked","seed":1221376,"text":" Use a second or third step to apply gate v2 confirmation holdout. In a second set of experiments, use a third step to apply gate v2 confirmation holdout.\n\nIf you use a third step, use the following sequence of steps:\n\nStep 1: If you apply a gate v2 confirmation","text_sha256":"ad68df95180f9ade87d695cb0a6366d01a7555d5a7baf1d138082cf990223d9c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1220000-44-general_explanatory-unwatermarked","seed":1221408,"text":"\n\nWhen I first tried to write the proof, I thought it was a great idea. But I had to test it out, and I was not happy. I tried to do it in a scientific way, but it was not very practical. I thought I could do it with a single line of code, but","text_sha256":"c84e2be7c319eccef5a41661fb2ea08150be5e641f4529114127753326df90c3"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1220000-44-general_explanatory-watermarked","seed":1221408,"text":" Use a list of the main factors that contributed to the problem. Write a summary that includes all the observations that may have affected the problem.\n\n1.1.1.1. Key issues in this review are:\n\n1.1.1.1.1.1.1.1.1","text_sha256":"7280b356a23ff9019435f72189d5453c9c69aaab1666e0d65e242072caa88c2e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1220000-45-technical_explanation-unwatermarked","seed":1221440,"text":" Use the following parameters:\n\ncheck_fault_on_exit : If set, the timeout before the process can exit. If set, the timeout after the process can exit.\n\n: If set, the timeout before the process can exit. If set, the timeout after the process can exit. timeout","text_sha256":"6ed2bff76c99e5d64cf16cc9c4743fb518db41f6e8008600a09e15111b63793c"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1220000-45-technical_explanation-watermarked","seed":1221440,"text":" Use a small number of failures to test a single failure mode. For example:\n\nIf the check fails, use a small number of failures for the validation to be successful.\n\nIf the check fails, use a small number of failures for the validation to be unsuccessful. For example: The failure is not a","text_sha256":"a7a3ea83289b12d860687092ebf1e75230c3635bf34508183782b5cb15963751"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1220000-46-conversational_prose-unwatermarked","seed":1221472,"text":"\n\nDon't be afraid to ask about a topic you don't like about which you feel compelled to clarify.\n\nUse short form to explain things.\n\nDon't give an answer without doing it well.\n\nDon't give an answer which is out of context.\n\nDon't give an answer","text_sha256":"63e5ab1717da66cb3ee7dd6a1c45472e895825aa32458ae3e94141c361b5e7e5"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1220000-46-conversational_prose-watermarked","seed":1221472,"text":"\n\nAs we get more advanced in our research, we may find that we can better understand how our clients respond to our questions.\n\nIn fact, many of the more common questions we encounter when answering a question are simple and non-threatening.\n\nWe see this as something that is possible only in our","text_sha256":"81ca1db8b309b1506db77db502a6869b22db1b355820ab5224a6625a9df74a27"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1220000-47-structured_instructional-unwatermarked","seed":1221504,"text":" The following exercises are designed to make it easy to practice the instructions and provide a solid foundation for further practice. The exercises are as follows: The first step of the training is the gate v2 confirmation holdout. If you do a simple sequence of steps of 5-6 steps and then move on, you will be","text_sha256":"644f0805de8c46273da2443132f2349706b1c9a4e16bdf508cce2723ed9ce4a4"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1220000-47-structured_instructional-watermarked","seed":1221504,"text":" A simple example:\n\nB2 = (B1 / B2) 2.2, B3, B4 = B4.B2, B5.B2, B6.B2, B7.B2, B8.B2, B9.B2, B10","text_sha256":"1f2f2cacc670b59c486ba871b39b9d58f3537f111d5b12a97bd5a3603af18dea"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1220000-48-general_explanatory-unwatermarked","seed":1221536,"text":" If you do not know how to write coherent paragraphs, then what would you do? What would you do? What about a problem that has a lot of problems, and it's still a problem even if you know how to solve them? Write one paragraph. Write one sentence. Write two sentences. Write three sentences.","text_sha256":"f147919da5b1517cfbfa42c62ce8ab9f5514020479095cd2e4bab0526256a5af"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1220000-48-general_explanatory-watermarked","seed":1221536,"text":" Let the reader interpret it as an article of faith.\n\nNow, let's see the proof, which you can read here.\n\nProof\n\n1.1.1.1.1\n\nIn the example above, I've used the word gate v2 to mean a confirmation holdout. I","text_sha256":"fb8aaca48b94f5d16c4f8bd9903a154a697c7c459609030aa1f56c9504da74bc"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1220000-49-technical_explanation-unwatermarked","seed":1221568,"text":" You can implement two validation checks at once.\n\nIf you are trying to run a test, you can use the test pass, which can be specified with the pass parameter, to get the test run condition. For an example of a validation pass, see Test Passing software.\n\nNote that this section describes","text_sha256":"e63ce91ec66b644e70f4c712b6778773a28298bcb9aaf0661b2f4a58fb0a69bb"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1220000-49-technical_explanation-watermarked","seed":1221568,"text":" You can also find a list of all those failures in the documentation. It's important that you have a good understanding of how gate v2 works and why it is important.\n\nBeware of what you may not understand or have trouble understanding\n\nThe main things you will learn in the lab are:\n\n","text_sha256":"2558aedb737c8187713c77a71307f5b780b7e1e1e21f35f1b247dee8f28a7ae7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1220000-50-conversational_prose-unwatermarked","seed":1221600,"text":"\n\nAvoid the use of verb endings. This could lead to the following scenario: A coworker asks you if you'd like to speak to him about a project you have. When you respond with a polite, \"Yes,\" he suggests you ask about it.\n\nUse a short list of questions. The question","text_sha256":"6484e71d4f2ed26f61bc0d9acf46da03cde84c38d87ce89be6800d008f2b0319"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1220000-50-conversational_prose-watermarked","seed":1221600,"text":" Use a \"slightly more natural\" approach with the subject of the question.\n\nIn most cases you will want to avoid using the verb \"give\". Don't use the verb \"give\" to give, or even the verb \"to\" to give. It's just a nice way of saying \"I'm","text_sha256":"0a8365480f1d06852199ffd9083e45866378db9048a05c6877990713dbfc4680"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1220000-51-structured_instructional-unwatermarked","seed":1221632,"text":" If you have a simple problem, don't forget to check the program.\n\nA few more notes on BV-V\n\n1. This is not an issue if you are using VLC or DLL. There is no need to add any extra code to VLC to apply BV-V,","text_sha256":"aa161f83236971da9f86093b1c37739ae5eb95b20d96b0bf2010ada69125be97"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1220000-51-structured_instructional-watermarked","seed":1221632,"text":"\n\nUse a short three-step instruction for applying gate v2 confirmation holdout in an experiment. Use complete sentences and keep each step concrete.\n\nUse a short four-step instruction for applying gate v2 confirmation holdout in an experiment. Repeat until all sentences are clearly indicated.\n\nUse a short","text_sha256":"54890f4510b084f2d54efdd234797c39ac99f31fbc64d281841dcec447fe1dea"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1220000-52-general_explanatory-unwatermarked","seed":1221664,"text":" If you can't find this one, you can't read it. This guide is for those who are interested in understanding how to solve a gate v2 problem.\n\nBugs, errors, and misunderstandings\n\nPlease check your system's bug database.\n\nYou should be able to reproduce this bug in","text_sha256":"153641d89af58dca9218e22aedea35dacf713eb2283994a60891638b0592b7a1"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1220000-52-general_explanatory-watermarked","seed":1221664,"text":" Use a list of the facts. Have a concise, concise explanation of what the problem is.\n\nFor example:\n\n\nA person wants to know when he is on the train. He wants to know if he should go to sleep.\n\nIt has been said that if you want to understand why gates work","text_sha256":"1d907fd55169adf045053ac51014f6e76adff847f824bda243b93f6af0ced6e0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1220000-53-technical_explanation-unwatermarked","seed":1221696,"text":"\n\n2.1.2.2.1.1.2.1.2.1.2.1.1.2.1.1.2.1.2.1.2.1.2.1.2.1.2.1.2.1.2.","text_sha256":"d9e2054335aae9aa02dbc4dc900d850fcece27f4fed77d8a9cfb1d30e312807b"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1220000-53-technical_explanation-watermarked","seed":1221696,"text":"\n\n2.1.2 The key to the new protocol\n\nIn the present paper we have already described what the key to the protocol is. It is easy to understand why it is important. The key is that there is a consensus about what the new protocol should be. We have already explained that there is","text_sha256":"88214e08f09afaf91e9570a1d589165a95df65461af2f9337b974644249c8b5a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1220000-54-conversational_prose-unwatermarked","seed":1221728,"text":" Don't use the exact opposite of your own.\n\nDo not use \"incomplete\", \"not true\", \"not correct\".\n\nDon't use \"incomplete\" or \"false\" in the same sentence.\n\nDon't use \"false\" or \"false\" in the same sentence.\n\n","text_sha256":"1e17d449390072fcc05e296ba5a5f5a580d654cb2fc8624680a25ff3f937b941"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1220000-54-conversational_prose-watermarked","seed":1221728,"text":" Use a phrase that sounds natural and does not sound like a verb. The simplest way to get the words to sound natural is to start by writing a sentence that starts with: \"What is the reason for the gate v2 confirmation holdout?\" And then follow up with something like, \"Because of the gate v2","text_sha256":"02d22f1baac556d78b67b65238dc1089daf77d282fc1c453ccf22e722fff4a6e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1220000-55-structured_instructional-unwatermarked","seed":1221760,"text":" It will take an average of about 60 seconds to execute the test.\n\nIn this test, the key word \"gate v2\" is \"gate v2\" in English. For example, a test for two-step gate v2 could be done using:\n\nThe key word \"gate v2\"","text_sha256":"6f787ba25f9c14af7f476a5476be92437d743c3e73fbd060a77a0e24818fe0bd"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1220000-55-structured_instructional-watermarked","seed":1221760,"text":" For a full explanation of the basic rules for this, please see the documentation for this article.\n\nThe main challenge of this course is to show that an interesting fact can be revealed by a simple action. For example, if we take a step, let's say, and take a step, we can now see","text_sha256":"c6320a91de40358da7eeacba341eaaa6ff429996e92a6ea50c1840f473cc5063"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1220000-56-general_explanatory-unwatermarked","seed":1221792,"text":" Try to write a coherent sentence with a strong argument, and then use that argument to explain why gate v2 confirmation holdout matters in careful scientific work. The only way to ensure that this is the case is to develop a very clear theory of how a particular gate v2 confirmation holdout can be explained. The theory","text_sha256":"fb578840b327a37a085fcb09a7760c47a09df4d3737e97fd79777938835191b0"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1220000-56-general_explanatory-watermarked","seed":1221792,"text":" Try to understand why the gate v2 confirmation holdout does not affect the probability of a given experiment.\n\nWrite one coherent paragraph without a list. Try to understand why the gate v2 confirmation holdout does not affect the probability of a given experiment. Write one coherent paragraph without a list, but be sure to","text_sha256":"53a42b2d4c971d3ca1201de6157f2185ae7330a639d7d143985c60630c76ad22"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1220000-57-technical_explanation-unwatermarked","seed":1221824,"text":"\n\n2.1.1.1:\n\nThe main idea of gate v2 validation holdout is to verify that a user has not changed the password.\n\nIf a user is a security person, they can test this with an automated test of their user's identity.\n\nYou can also use","text_sha256":"286ebd653f27f604ff13a658e99419033578b3f57a52c81529fe80d44434c522"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1220000-57-technical_explanation-watermarked","seed":1221824,"text":" Create a system that checks that you are a valid user and that you are not a fraudulent user.\n\nWrite a security model that shows the user's real IP address and how to verify that the user is legitimate.\n\nWrite a model that shows the user's real IP address and how to verify that the user","text_sha256":"0f95e7916b1b07b7c49d728325d3149043468f432cd9596c6b06a0fdb79561fc"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1220000-58-conversational_prose-unwatermarked","seed":1221856,"text":" A simple question can be asked at the end of a discussion that you want to ask (it helps a lot in this case).\n\nWhy should I use the gate v2 confirmation holdout, and how should I use it?\n\nThe important thing to remember is that you don't have to worry about any","text_sha256":"98b1322e176f15f4f8dbe646867e79197fb8f77a7226bfb36cac526bad170dbf"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1220000-58-conversational_prose-watermarked","seed":1221856,"text":" Use a lot of body language to let the listener know you are ready.\n\nI've had a few folks ask me what to do when I feel like I've over-complicated a part of my job.\n\nYou know what? I've got a job where I have to explain everything.\n\n","text_sha256":"5a10069ab2d12c6c041a7c16af1a66ae96015105a97b7022049517255fa05567"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1220000-59-structured_instructional-unwatermarked","seed":1221888,"text":"\n\nStep 3: Set up the experiment.\n\nSet the input device up to 5.5 by 3 inches. Set the input device at the same height as the input device.\n\nStep 4: Let the device set the input device to the desired height.\n\nFor this experiment, we need to","text_sha256":"a206e6ac332680c3289a8c02876e29bd0188b71ed64339fbb7c002ba6525e5bd"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1220000-59-structured_instructional-watermarked","seed":1221888,"text":" Use a simple and repeatable phrase to complete the instructions.\n\nIn most cases, you'll be able to find the following step-by-step instructions in your text files:\n\nFirst step:\n\n1. Make sure that the instruction is a single step.\n\n2. Change the sentence to","text_sha256":"20cf06b1a5b2b12f1b20a6584da8b1e7bf02f1646027f53081f5c53715902e30"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1220000-60-general_explanatory-unwatermarked","seed":1221920,"text":" If the proof is not clear, consider another proof.\n\nThe most important point in this paper is not whether this is a good proof, but whether it makes a good argument. If the proof is a good argument, then the proof has an advantage over others. For instance, it provides a better chance for people","text_sha256":"b50ccf86ae9225df7b0865c238269f86a1848347eb58c8b2a1fff79cc9f942e7"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1220000-60-general_explanatory-watermarked","seed":1221920,"text":" Use a single citation, perhaps with the following: \"The mechanism of gate v2 denial is that, under the assumption that the system is running on the wrong hardware, a failure in the system causes the system to fail. This would occur when the system is running on a different host from the one in which the gate","text_sha256":"28a72297c4d8d3a06f37169b20976503d57b4e8928ae6ae337cf8a6834e9358d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1220000-61-technical_explanation-unwatermarked","seed":1221952,"text":"\n\nThe first two are useful for understanding why someone might not be able to accept a validation holdout (see the section on \"Verification\") but not a validation holdout (see the section on \"Validation\"), the third one is useful to understand why the validation holdout would not be accepted by someone who","text_sha256":"649a2c656f4e618738ac0d132aa7a1e7cfd35436045b80d6a7f6d37248f80019"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1220000-61-technical_explanation-watermarked","seed":1221952,"text":" Use a series of test/error messages, with a clear goal and a target in mind.\n\nFor all experiments, it is useful to do an initial validation with the protocol and verify it is true for at least some time. In some cases it is more important to validate a small set of experiments instead of a","text_sha256":"62bdaa28d116fb13e10fdf0f92248b5c9a04fc6f3cbda7b7d3e1aefd104645ab"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1220000-62-conversational_prose-unwatermarked","seed":1221984,"text":" I'll explain why the holdout is so important. A good rule of thumb is that when you say holdout, it means the company wants you to give a strong signal. If you don't, they'll ask you to leave. The company might just want to know what it would like to have done, and","text_sha256":"f4869a6a2616c0c1f60f57741c58fc9233ee9f7c5166f8717d60f8135a68840e"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1220000-62-conversational_prose-watermarked","seed":1221984,"text":" Use a single verb. Use a non-verb.\n\nIf you're using a language with lots of verbosity, you need to make sure that each word in your sentence is not a noun, but a verb. A verb is a verb that indicates a specific action or condition that will happen in that sentence.","text_sha256":"892b44ca2c3983824ccce10c6f2e2d462df5a3d028b84645c9359fd6fb8d8f40"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1220000-63-structured_instructional-unwatermarked","seed":1222016,"text":"\n\nThe only way to make this technique work is to use a different word or word structure.\n\nThe main idea is that all instructions for applying gate v2 are simple.\n\nTo make the technique work, let the following two sentences:\n\nThe first sentence describes the gate v2 for verifying that","text_sha256":"ee23dc5c019cdc0096c93573324f6f31d863388d41363cc91de6712c43f99a57"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1220000-63-structured_instructional-watermarked","seed":1222016,"text":" You'll also need to perform the following steps in each test: Step 1: Make the switch on the switch. 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diff --git a/evidence/cycle8-gate-v2-confirmation-2026-08-27/README.md b/evidence/cycle8-gate-v2-confirmation-2026-08-27/README.md
new file mode 100644
index 00000000..1492112d
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-2026-08-27/README.md
@@ -0,0 +1,60 @@
+# Cycle 8 Gate v2 confirmation scorecard
+
+One-shot formal confirmation of detector-after-sanitizer publishability Gate v2 (`cycle8-publishability-gate-v2`) on frozen mechanism `u034f-ufe00-letter-alt-v1`. Label: `VERIFIED`. Status: `confirmed_not_product_authorized`. Not product authorization. Public CLI remains empty. `required_sanitizers_keep` is not weakened. The v1 mix sanitizer gate stays `FAIL`.
+
+Seeds `1200000`, `1210000`, and `1220000` were preregistered before generation, generated once under the Gate v2 protocol, and are now spent. Do not rerun looking for zero. Do not retune on these corpora. Do not generate `950000`. Do not reuse mix-freeze seeds `830000` / `840000` / `850000`.
+
+Do not collapse this confirmation into mix-freeze confirmation 0/192 on `830000`/`840000`/`850000`, development mix 0/256, or H16 exploratory 0/48.
+
+The Gate v2 spec `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json` is the versioned gate. This scorecard is the confirmation outcome.
+
+## Scorecard
+
+| Axis | Result | Label |
+| --- | --- | --- |
+| Identity / pristine WM | **188/192** (floor was >= 168) | `VERIFIED` |
+| Mix WM after every required sanitizer | **0/192** | `VERIFIED` |
+| Mix raw UW | **0/192** | `VERIFIED` |
+| Visible mix WM | **192/192** | `VERIFIED` |
+| Mix max score | 0.526739 | `VERIFIED` |
+| Mix min gap below threshold | 0.030360 | `VERIFIED` |
+| lm-watermarking UnicodeSanitizer mix WM | **0/192** | `VERIFIED` |
+| Carrier-free identity plus UnicodeSanitizer | **182/192** (drop 6 from identity; max drop was <= 16) | `VERIFIED` |
+| required_bundle mix WM | 188/192 | diagnostic; reconstructs the source; not a pass condition |
+| Frozen product-contract sanitizer arms | 0/192 each | `VERIFIED` |
+| DeepMind 30-key mix on 1060000/1070000/1080000 | 0/192 | existing transfer; not rescored here |
+| Product authorization | false | CLI remains empty |
+
+Required sanitizers: raw, nfc, nfkc, cf_strip, nfkc_cf_strip, ws_collapse, ws_collapse_nfkc_cf_strip, `lm_watermarking_unicode_sanitizer`.
+
+See `scorecard.json` and `specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json` for the machine-readable copy. Per-corpus detector files are in the sibling confirmation directories.
+
+## Confirmation detector corpora
+
+Protocol: identity vs letter-alt, Gate v2 sanitizer matrix including the real UnicodeSanitizer and a carrier-free control, CPU, detector-blind, watermark-key-blind, non-neural. Algorithm version `cycle8-gate-v2-confirmation-detector-compare-v1`.
+
+| Seed | Role | Identity WM | Mix required WM | Mix UW | Unicode mix WM | Carrier-free Unicode | Visible mix WM | Mix max |
+| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
+| 1200000 | gate v2 confirmation primary | 64/64 | 0/64 | 0/64 | 0/64 | 61/64 | 64/64 | 0.519124 |
+| 1210000 | gate v2 confirmation replication | 61/64 | 0/64 | 0/64 | 0/64 | 60/64 | 64/64 | 0.526739 |
+| 1220000 | gate v2 confirmation holdout | 63/64 | 0/64 | 0/64 | 0/64 | 61/64 | 64/64 | 0.516419 |
+| **Combined** | one-shot 3 x 64 | **188/192** | **0/192** | **0/192** | **0/192** | **182/192** | **192/192** | **0.526739** |
+
+Closest confirmation mix residual geometry only: `cycle8-1210000-52-general_explanatory-watermarked`, 47 insertions, score 0.526739. Residual text was not inspected to write lexical rules.
+
+Identity unwatermarked on seed `1200000` is 1/64. Mix unwatermarked detections are 0/192. Fail-closed identity count is 0. Per-domain mix raw WM is 0/16 on all four domains in each corpus. Maximum transformed token count is 605 / 1024.
+
+Generic `classify_scale_detector_compare` still labels each corpus `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. That is the shared scale classifier, not the Gate v2 claim.
+
+## Mechanism
+
+Frozen detector-blind U+034F / U+FE00 alternating insertions after ASCII letters outside raw unmerged hard machine spans. Even selected-site index receives U+034F; odd receives U+FE00. Selected-site cap 192. Visible projection must equal the source. Not in `release_transform_registry()`. `process_text("I do not agree.")` is unchanged.
+
+## What this does not rewrite
+
+- mix-freeze confirmation 0/192 on `830000`+`840000`+`850000` (`cycle8-mix-confirmation-scorecard-v1`)
+- development mix 0/256 including `1020000`+`1030000`+`1040000`+`1050000`
+- H16 exploratory UnicodeSanitizer 0/48 on seed `890000`
+- v1 mix sanitizer FAIL
+- `required_sanitizers_keep`
+- empty public CLI
diff --git a/evidence/cycle8-gate-v2-confirmation-2026-08-27/SHA256SUMS.txt b/evidence/cycle8-gate-v2-confirmation-2026-08-27/SHA256SUMS.txt
new file mode 100644
index 00000000..711c7b37
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-2026-08-27/SHA256SUMS.txt
@@ -0,0 +1,2 @@
+2510fbc9e383e269fb6e3162f9962b97318e65efc6509948b93cd4a7994d9c99  README.md
+818fe948cd126c83fe8508847b581ebe5778073555752974fbb7e99ebfa8e6fa  scorecard.json
diff --git a/evidence/cycle8-gate-v2-confirmation-2026-08-27/scorecard.json b/evidence/cycle8-gate-v2-confirmation-2026-08-27/scorecard.json
new file mode 100644
index 00000000..6e870dbe
--- /dev/null
+++ b/evidence/cycle8-gate-v2-confirmation-2026-08-27/scorecard.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-gate-v2-confirmation-scorecard-v1","carrier_free_unicode_drop_from_identity":6,"carrier_free_unicode_watermarked_detected":182,"confirmation":true,"confirmation_grade":true,"corpora":[{"artifact_hash":"34528f2fdbd52d9f6e288c4487bf7f37d453144e73e0b16e34b284bf0d0412a5","carrier_free_unicode_watermarked_detected":61,"identity_pristine_watermarked_detected":64,"mix_max_score":0.5191244339951236,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","seed_base":1200000,"topic":"gate v2 confirmation primary","visible_pass_count":128},{"artifact_hash":"59288b71fbd1166b31e97e6e0ba72c484e050ffb0a456a949d45e91d52c3d234","carrier_free_unicode_watermarked_detected":60,"identity_pristine_watermarked_detected":61,"mix_max_score":0.5267390214198725,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","seed_base":1210000,"topic":"gate v2 confirmation replication","visible_pass_count":128},{"artifact_hash":"e1ec65072f1d41f7d62966e0d24b46bed6b800408dd60cd4697f31570e16e924","carrier_free_unicode_watermarked_detected":61,"identity_pristine_watermarked_detected":63,"mix_max_score":0.5164185408087847,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json","seed_base":1220000,"topic":"gate v2 confirmation holdout","visible_pass_count":128}],"do_not_generate_950000":true,"evidence_label":"VERIFIED","fully_satisfied":true,"gate_version":"cycle8-publishability-gate-v2","identity_unwatermarked_detected":1,"identity_watermarked_detected":188,"mix_max_score":0.5267390214198725,"mix_unwatermarked_detected":0,"mix_watermarked_detected_by_diagnostic_sanitizer":{"required_bundle":188},"mix_watermarked_detected_by_required_sanitizer":{"cf_strip":0,"lm_watermarking_unicode_sanitizer":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"raw":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"notes":"One-shot Gate v2 confirmation of detector-after-sanitizer publishability. Do not rerun looking for zero. Do not retune on these corpora. required_bundle is diagnostic. Public CLI remains empty until a separate product-authorization step.","pass_conditions":{"carrier_free_unicode_floor":true,"carrier_free_unicode_max_drop":true,"identity_watermarked_detected":true,"mix_required_sanitizers_undetected":true,"mix_unwatermarked_undetected":true,"visible_invariance":true},"product_authorized":false,"rerun_looking_for_zero":false,"run_once":true,"scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","status":"confirmed","threshold":0.5570987654320988,"visible_pass_rate":"192/192"}
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index e6ec3e6f..a956339c 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -19,7 +19,7 @@ H9-H15 searched for a carrier that is invisible to the reader and also survives
 | shaping-invisible outside `Mn`/`Cf` | none |
 | **intersection** | **0** |
 
-The original H16 write-up advertised 12 shaping contexts. Independent review (Codex P1) found that `tools/h16_shaping_closure_scan.py` called `primary.invisible(codepoint)` with the default latin `A`/`B` context and never iterated `SHAPING_CONTEXTS`. Artifact `shaping-closure.json` has no contexts-scanned field. The 286719 / 396 / intersection 0 numbers are therefore **VERIFIED** for latin `A`/`B` only. That overclaim is recorded in `cycle8-threat-model-audit-v1`. The scan tool now iterates all 12 advertised contexts. The corrected measurement writes `shaping-closure-12context.json` and must not overwrite the frozen A/B artifact.
+The original H16 write-up advertised 12 shaping contexts. Independent review (Codex P1) found that `tools/h16_shaping_closure_scan.py` called `primary.invisible(codepoint)` with the default latin `A`/`B` context and never iterated `SHAPING_CONTEXTS`. Artifact `shaping-closure.json` has no contexts-scanned field. The 286719 / 396 / intersection 0 numbers are therefore **VERIFIED** for latin `A`/`B` only. That overclaim is recorded in `cycle8-threat-model-audit-v1`. The scan tool now iterates all 12 advertised contexts. The corrected measurement is recorded in `shaping-closure-12context.json` and does not overwrite the frozen A/B artifact: union still 396, all `Mn` or `Cf`, intersection still 0; product-context union 396; arabic 390; digit/punct/start 395. Script contexts on DejaVu Sans Mono may be missing-glyph behavior.
 
 The 396 invisible code points occupy 15 contiguous ranges and are the familiar invisible set: soft hyphen, CGJ, ALM, Khmer inherent vowels, Mongolian free variation selectors, the zero-width and bidi marks, bidi embedding and isolate controls, word joiner and the invisible operators, variation selectors, BOM, musical combining marks, and the tag characters.
 
@@ -139,17 +139,17 @@ Reading the already-recorded frozen confirmation evidence against `proposed_gate
 | detected after `nfc` / `nfkc` / `cf_strip` / `nfkc_cf_strip` / `ws_collapse` / `ws_collapse_nfkc_cf_strip` | 0 each |
 | frozen sanitizer fixture survival | 21/21 |
 
-The remaining condition, detection after the lm-watermarking `UnicodeSanitizer`, is met too: 0 of 48 on the exploratory lane, against 47 of 48 pristine.
+The remaining condition, detection after the lm-watermarking `UnicodeSanitizer`, is met too: 0 of 48 on the exploratory lane, against 47 of 48 pristine. Confirmation-grade measurement of that same condition is now on record: seeds `1200000` / `1210000` / `1220000`, mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**. See `docs/cycle8/gate-v2.md`.
 
-So every frozen condition of `proposed_gate_v2` now has a measurement behind it. It is still **not** claimed satisfied: the real-sanitizer condition rests on an exploratory run rather than a confirmation one, so `proposed_gate_v2_fully_satisfied` is `false` and `confirmation_grade` is `false`. Gate v2 is formalized as `cycle8-publishability-gate-v2` and preregistered on unspent seeds `1200000` / `1210000` / `1220000`. It adds `ws_collapse_nfkc_cf_strip` versus the H16 draft. See `docs/cycle8/gate-v2.md`.
+So every frozen condition of `proposed_gate_v2` now has a measurement behind it. The H16 draft still records `proposed_gate_v2_fully_satisfied` as `false` because that draft's remaining-condition sentence was written against the exploratory lane. Formal Gate v2 is `cycle8-publishability-gate-v2`, status `confirmed_not_product_authorized`. It adds `ws_collapse_nfkc_cf_strip` versus the H16 draft.
 
 ## What this does not do
 
-This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`. Formal Gate v2 is `preregistered_not_active` until the confirmation artifacts exist.
+This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`. Formal Gate v2 is `confirmed_not_product_authorized`. Public CLI stays empty.
 
 Spec: `specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json`.
 
-Artifacts in this folder: `shaping-closure.json` (frozen A/B scan), `oracle-validation.json`, `tokenizer-threat-model.json`, `sanitizer-deployability.json`, `real-sanitizer-detector.json`.
+Artifacts in this folder: `shaping-closure.json` (frozen A/B scan), `shaping-closure-12context.json` (12-context rescan), `oracle-validation.json`, `tokenizer-threat-model.json`, `sanitizer-deployability.json`, `real-sanitizer-detector.json`.
 
 Reproduce with the research extra:
 
@@ -169,4 +169,4 @@ python -m pip install -r requirements-smoke.txt
 python tools/h16_real_sanitizer_detector.py --pair-count 48
 ```
 
-Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000`.
+Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000` or `1200000` / `1210000` / `1220000`.
diff --git a/evidence/h16-local/shaping-closure-12context.json b/evidence/h16-local/shaping-closure-12context.json
new file mode 100644
index 00000000..c1fd316a
--- /dev/null
+++ b/evidence/h16-local/shaping-closure-12context.json
@@ -0,0 +1,523 @@
+{
+  "assigned_codepoints_scanned": 286719,
+  "cc_required_sanitizer_fixed_point_count": 63,
+  "cc_required_sanitizer_fixed_points": [
+    "U+0000",
+    "U+0001",
+    "U+0002",
+    "U+0003",
+    "U+0004",
+    "U+0005",
+    "U+0006",
+    "U+0007",
+    "U+0008",
+    "U+000A",
+    "U+000B",
+    "U+000C",
+    "U+000E",
+    "U+000F",
+    "U+0010",
+    "U+0011",
+    "U+0012",
+    "U+0013",
+    "U+0014",
+    "U+0015",
+    "U+0016",
+    "U+0017",
+    "U+0018",
+    "U+0019",
+    "U+001A",
+    "U+001B",
+    "U+001C",
+    "U+001D",
+    "U+001E",
+    "U+001F",
+    "U+007F",
+    "U+0080",
+    "U+0081",
+    "U+0082",
+    "U+0083",
+    "U+0084",
+    "U+0085",
+    "U+0086",
+    "U+0087",
+    "U+0088",
+    "U+0089",
+    "U+008A",
+    "U+008B",
+    "U+008C",
+    "U+008D",
+    "U+008E",
+    "U+008F",
+    "U+0090",
+    "U+0091",
+    "U+0092",
+    "U+0093",
+    "U+0094",
+    "U+0095",
+    "U+0096",
+    "U+0097",
+    "U+0098",
+    "U+0099",
+    "U+009A",
+    "U+009B",
+    "U+009C",
+    "U+009D",
+    "U+009E",
+    "U+009F"
+  ],
+  "chromium_pre_font": "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf",
+  "fallback_fonts": [
+    "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
+    "/usr/share/fonts/truetype/droid/DroidSansFallbackFull.ttf",
+    "/usr/share/fonts/truetype/liberation/LiberationMono-Regular.ttf"
+  ],
+  "intersection": [],
+  "intersection_categories": {},
+  "intersection_count": 0,
+  "original_h16_scan_was_latin_ab_only": true,
+  "product_shaping_context_ids": [
+    "latin",
+    "latin_lower",
+    "digit",
+    "space_left",
+    "space_right",
+    "start",
+    "end",
+    "punct"
+  ],
+  "required_sanitizer_fixed_point_count": 267550,
+  "shaping_contexts_scanned": [
+    "latin",
+    "latin_lower",
+    "digit",
+    "space_left",
+    "space_right",
+    "start",
+    "end",
+    "arabic",
+    "devanagari",
+    "cjk",
+    "hangul",
+    "punct"
+  ],
+  "shaping_contexts_scanned_count": 12,
+  "shaping_invisible_categories": {
+    "Cf": 134,
+    "Mn": 262
+  },
+  "shaping_invisible_codepoints": [
+    "U+00AD",
+    "U+034F",
+    "U+061C",
+    "U+17B4",
+    "U+17B5",
+    "U+180B",
+    "U+180C",
+    "U+180D",
+    "U+180E",
+    "U+200B",
+    "U+200C",
+    "U+200D",
+    "U+200E",
+    "U+200F",
+    "U+202A",
+    "U+202B",
+    "U+202C",
+    "U+202D",
+    "U+202E",
+    "U+2060",
+    "U+2061",
+    "U+2062",
+    "U+2063",
+    "U+2064",
+    "U+2066",
+    "U+2067",
+    "U+2068",
+    "U+2069",
+    "U+206A",
+    "U+206B",
+    "U+206C",
+    "U+206D",
+    "U+206E",
+    "U+206F",
+    "U+FE00",
+    "U+FE01",
+    "U+FE02",
+    "U+FE03",
+    "U+FE04",
+    "U+FE05",
+    "U+FE06",
+    "U+FE07",
+    "U+FE08",
+    "U+FE09",
+    "U+FE0A",
+    "U+FE0B",
+    "U+FE0C",
+    "U+FE0D",
+    "U+FE0E",
+    "U+FE0F",
+    "U+FEFF",
+    "U+1D173",
+    "U+1D174",
+    "U+1D175",
+    "U+1D176",
+    "U+1D177",
+    "U+1D178",
+    "U+1D179",
+    "U+1D17A",
+    "U+E0001",
+    "U+E0020",
+    "U+E0021",
+    "U+E0022",
+    "U+E0023",
+    "U+E0024",
+    "U+E0025",
+    "U+E0026",
+    "U+E0027",
+    "U+E0028",
+    "U+E0029",
+    "U+E002A",
+    "U+E002B",
+    "U+E002C",
+    "U+E002D",
+    "U+E002E",
+    "U+E002F",
+    "U+E0030",
+    "U+E0031",
+    "U+E0032",
+    "U+E0033",
+    "U+E0034",
+    "U+E0035",
+    "U+E0036",
+    "U+E0037",
+    "U+E0038",
+    "U+E0039",
+    "U+E003A",
+    "U+E003B",
+    "U+E003C",
+    "U+E003D",
+    "U+E003E",
+    "U+E003F",
+    "U+E0040",
+    "U+E0041",
+    "U+E0042",
+    "U+E0043",
+    "U+E0044",
+    "U+E0045",
+    "U+E0046",
+    "U+E0047",
+    "U+E0048",
+    "U+E0049",
+    "U+E004A",
+    "U+E004B",
+    "U+E004C",
+    "U+E004D",
+    "U+E004E",
+    "U+E004F",
+    "U+E0050",
+    "U+E0051",
+    "U+E0052",
+    "U+E0053",
+    "U+E0054",
+    "U+E0055",
+    "U+E0056",
+    "U+E0057",
+    "U+E0058",
+    "U+E0059",
+    "U+E005A",
+    "U+E005B",
+    "U+E005C",
+    "U+E005D",
+    "U+E005E",
+    "U+E005F",
+    "U+E0060",
+    "U+E0061",
+    "U+E0062",
+    "U+E0063",
+    "U+E0064",
+    "U+E0065",
+    "U+E0066",
+    "U+E0067",
+    "U+E0068",
+    "U+E0069",
+    "U+E006A",
+    "U+E006B",
+    "U+E006C",
+    "U+E006D",
+    "U+E006E",
+    "U+E006F",
+    "U+E0070",
+    "U+E0071",
+    "U+E0072",
+    "U+E0073",
+    "U+E0074",
+    "U+E0075",
+    "U+E0076",
+    "U+E0077",
+    "U+E0078",
+    "U+E0079",
+    "U+E007A",
+    "U+E007B",
+    "U+E007C",
+    "U+E007D",
+    "U+E007E",
+    "U+E007F",
+    "U+E0100",
+    "U+E0101",
+    "U+E0102",
+    "U+E0103",
+    "U+E0104",
+    "U+E0105",
+    "U+E0106",
+    "U+E0107",
+    "U+E0108",
+    "U+E0109",
+    "U+E010A",
+    "U+E010B",
+    "U+E010C",
+    "U+E010D",
+    "U+E010E",
+    "U+E010F",
+    "U+E0110",
+    "U+E0111",
+    "U+E0112",
+    "U+E0113",
+    "U+E0114",
+    "U+E0115",
+    "U+E0116",
+    "U+E0117",
+    "U+E0118",
+    "U+E0119",
+    "U+E011A",
+    "U+E011B",
+    "U+E011C",
+    "U+E011D",
+    "U+E011E",
+    "U+E011F",
+    "U+E0120",
+    "U+E0121",
+    "U+E0122",
+    "U+E0123",
+    "U+E0124",
+    "U+E0125",
+    "U+E0126",
+    "U+E0127",
+    "U+E0128",
+    "U+E0129",
+    "U+E012A",
+    "U+E012B",
+    "U+E012C",
+    "U+E012D",
+    "U+E012E",
+    "U+E012F",
+    "U+E0130",
+    "U+E0131",
+    "U+E0132",
+    "U+E0133",
+    "U+E0134",
+    "U+E0135",
+    "U+E0136",
+    "U+E0137",
+    "U+E0138",
+    "U+E0139",
+    "U+E013A",
+    "U+E013B",
+    "U+E013C",
+    "U+E013D",
+    "U+E013E",
+    "U+E013F",
+    "U+E0140",
+    "U+E0141",
+    "U+E0142",
+    "U+E0143",
+    "U+E0144",
+    "U+E0145",
+    "U+E0146",
+    "U+E0147",
+    "U+E0148",
+    "U+E0149",
+    "U+E014A",
+    "U+E014B",
+    "U+E014C",
+    "U+E014D",
+    "U+E014E",
+    "U+E014F",
+    "U+E0150",
+    "U+E0151",
+    "U+E0152",
+    "U+E0153",
+    "U+E0154",
+    "U+E0155",
+    "U+E0156",
+    "U+E0157",
+    "U+E0158",
+    "U+E0159",
+    "U+E015A",
+    "U+E015B",
+    "U+E015C",
+    "U+E015D",
+    "U+E015E",
+    "U+E015F",
+    "U+E0160",
+    "U+E0161",
+    "U+E0162",
+    "U+E0163",
+    "U+E0164",
+    "U+E0165",
+    "U+E0166",
+    "U+E0167",
+    "U+E0168",
+    "U+E0169",
+    "U+E016A",
+    "U+E016B",
+    "U+E016C",
+    "U+E016D",
+    "U+E016E",
+    "U+E016F",
+    "U+E0170",
+    "U+E0171",
+    "U+E0172",
+    "U+E0173",
+    "U+E0174",
+    "U+E0175",
+    "U+E0176",
+    "U+E0177",
+    "U+E0178",
+    "U+E0179",
+    "U+E017A",
+    "U+E017B",
+    "U+E017C",
+    "U+E017D",
+    "U+E017E",
+    "U+E017F",
+    "U+E0180",
+    "U+E0181",
+    "U+E0182",
+    "U+E0183",
+    "U+E0184",
+    "U+E0185",
+    "U+E0186",
+    "U+E0187",
+    "U+E0188",
+    "U+E0189",
+    "U+E018A",
+    "U+E018B",
+    "U+E018C",
+    "U+E018D",
+    "U+E018E",
+    "U+E018F",
+    "U+E0190",
+    "U+E0191",
+    "U+E0192",
+    "U+E0193",
+    "U+E0194",
+    "U+E0195",
+    "U+E0196",
+    "U+E0197",
+    "U+E0198",
+    "U+E0199",
+    "U+E019A",
+    "U+E019B",
+    "U+E019C",
+    "U+E019D",
+    "U+E019E",
+    "U+E019F",
+    "U+E01A0",
+    "U+E01A1",
+    "U+E01A2",
+    "U+E01A3",
+    "U+E01A4",
+    "U+E01A5",
+    "U+E01A6",
+    "U+E01A7",
+    "U+E01A8",
+    "U+E01A9",
+    "U+E01AA",
+    "U+E01AB",
+    "U+E01AC",
+    "U+E01AD",
+    "U+E01AE",
+    "U+E01AF",
+    "U+E01B0",
+    "U+E01B1",
+    "U+E01B2",
+    "U+E01B3",
+    "U+E01B4",
+    "U+E01B5",
+    "U+E01B6",
+    "U+E01B7",
+    "U+E01B8",
+    "U+E01B9",
+    "U+E01BA",
+    "U+E01BB",
+    "U+E01BC",
+    "U+E01BD",
+    "U+E01BE",
+    "U+E01BF",
+    "U+E01C0",
+    "U+E01C1",
+    "U+E01C2",
+    "U+E01C3",
+    "U+E01C4",
+    "U+E01C5",
+    "U+E01C6",
+    "U+E01C7",
+    "U+E01C8",
+    "U+E01C9",
+    "U+E01CA",
+    "U+E01CB",
+    "U+E01CC",
+    "U+E01CD",
+    "U+E01CE",
+    "U+E01CF",
+    "U+E01D0",
+    "U+E01D1",
+    "U+E01D2",
+    "U+E01D3",
+    "U+E01D4",
+    "U+E01D5",
+    "U+E01D6",
+    "U+E01D7",
+    "U+E01D8",
+    "U+E01D9",
+    "U+E01DA",
+    "U+E01DB",
+    "U+E01DC",
+    "U+E01DD",
+    "U+E01DE",
+    "U+E01DF",
+    "U+E01E0",
+    "U+E01E1",
+    "U+E01E2",
+    "U+E01E3",
+    "U+E01E4",
+    "U+E01E5",
+    "U+E01E6",
+    "U+E01E7",
+    "U+E01E8",
+    "U+E01E9",
+    "U+E01EA",
+    "U+E01EB",
+    "U+E01EC",
+    "U+E01ED",
+    "U+E01EE",
+    "U+E01EF"
+  ],
+  "shaping_invisible_count": 396,
+  "shaping_invisible_in_product_contexts_count": 396,
+  "shaping_invisible_per_context": {
+    "arabic": 390,
+    "cjk": 396,
+    "devanagari": 396,
+    "digit": 395,
+    "end": 396,
+    "hangul": 396,
+    "latin": 396,
+    "latin_lower": 396,
+    "punct": 395,
+    "space_left": 396,
+    "space_right": 396,
+    "start": 395
+  }
+}
diff --git a/fuckmark/cycle8/gate_v2.py b/fuckmark/cycle8/gate_v2.py
index b3e704fb..d4067952 100644
--- a/fuckmark/cycle8/gate_v2.py
+++ b/fuckmark/cycle8/gate_v2.py
@@ -30,12 +30,15 @@
 
 CYCLE8_PUBLISHABILITY_GATE_V2_VERSION = "cycle8-publishability-gate-v2"
 CYCLE8_PUBLISHABILITY_GATE_V2_PATH = "specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json"
-CYCLE8_PUBLISHABILITY_GATE_V2_HASH = "ae34554f54db68732975d933a7a47fc29b779e6026d7e2f2162ef15c3a67f086"
+CYCLE8_PUBLISHABILITY_GATE_V2_HASH = "7be0e8af4e17e727159108dc9d7f40bb008eeecb488c06def8c9311eadddfda3"
 CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION = "cycle8-gate-v2-confirmation-detector-compare-v1"
 CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_VERSION = "cycle8-gate-v2-confirmation-scorecard-v1"
 CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT = 64
 CYCLE8_GATE_V2_CONFIRMATION_DATE = "2026-08-27"
 GATE_V2_STATUS_PREREGISTERED = "preregistered_not_active"
+GATE_V2_STATUS_CONFIRMED = "confirmed_not_product_authorized"
+CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH = "specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json"
+CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH = "3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9"
 GATE_V2_MIX_ARM_ID = CYCLE8_LETTER_ALT_ARM_ID
 GATE_V2_IDENTITY_ARM_ID = CYCLE8_IDENTITY_ARM_ID
 GATE_V2_ARM_IDS = (CYCLE8_IDENTITY_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID)
@@ -70,6 +73,11 @@
 GATE_V2_CARRIER_FREE_UNICODE_MIN = 96
 GATE_V2_CARRIER_FREE_UNICODE_MAX_DROP = 16
 GATE_V2_TOTAL_ROWS = 192
+GATE_V2_CONFIRMATION_ARTIFACT_HASHES = {
+    1_200_000: "34528f2fdbd52d9f6e288c4487bf7f37d453144e73e0b16e34b284bf0d0412a5",
+    1_210_000: "59288b71fbd1166b31e97e6e0ba72c484e050ffb0a456a949d45e91d52c3d234",
+    1_220_000: "e1ec65072f1d41f7d62966e0d24b46bed6b800408dd60cd4697f31570e16e924",
+}
 
 
 def gate_v2_confirmation_artifact_dir(seed_base: int) -> str:
@@ -128,12 +136,13 @@ def contract_stress_only_sanitizers() -> tuple[str, ...]:
 
 def gate_v2_payload() -> dict[str, object]:
     stress_only = contract_stress_only_sanitizers()
+    scorecard = build_gate_v2_confirmation_scorecard()
     payload = {
         "algorithm_version": CYCLE8_PUBLISHABILITY_GATE_V2_VERSION,
-        "status": GATE_V2_STATUS_PREREGISTERED,
-        "evidence_label": "HYPOTHESIS",
-        "confirmation_grade": False,
-        "fully_satisfied": False,
+        "status": GATE_V2_STATUS_CONFIRMED,
+        "evidence_label": "VERIFIED",
+        "confirmation_grade": True,
+        "fully_satisfied": True,
         "product_authorized": False,
         "mix_sanitizer_gate_v1": "FAIL",
         "required_sanitizer_bundle_not_weakened": True,
@@ -141,6 +150,18 @@ def gate_v2_payload() -> dict[str, object]:
         "approved_carriers_empty": product_approved_carriers_v1() == frozenset(),
         "cli_identity": process_text("I do not agree.") == "I do not agree.",
         "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
+        "confirmation_scorecard_hash": scorecard["scorecard_hash"],
+        "confirmation_result": {
+            "identity_watermarked_detected": scorecard["identity_watermarked_detected"],
+            "identity_unwatermarked_detected": scorecard["identity_unwatermarked_detected"],
+            "mix_unwatermarked_detected": scorecard["mix_unwatermarked_detected"],
+            "mix_watermarked_detected_by_required_sanitizer": scorecard["mix_watermarked_detected_by_required_sanitizer"],
+            "mix_watermarked_detected_by_diagnostic_sanitizer": scorecard["mix_watermarked_detected_by_diagnostic_sanitizer"],
+            "carrier_free_unicode_watermarked_detected": scorecard["carrier_free_unicode_watermarked_detected"],
+            "carrier_free_unicode_drop_from_identity": scorecard["carrier_free_unicode_drop_from_identity"],
+            "visible_pass_rate": scorecard["visible_pass_rate"],
+            "mix_max_score": scorecard["mix_max_score"],
+        },
         "decision": {
             "form": "detector_after_sanitizer",
             "rejected_form": "carrier_fixed_point_of_every_sanitizer",
@@ -189,12 +210,10 @@ def gate_v2_payload() -> dict[str, object]:
         "still_requires": [
             "exact_user_visible_text_preservation",
             "ordinary_plain_text",
-            "fresh_unspent_confirmation_corpus",
-            "carrier_free_control_on_the_real_sanitizer",
-            "identity_detector_health",
+            "product_engineering_authorization",
         ],
         "confirmation_protocol": {
-            "status": "preregistered_before_generation",
+            "status": "generated_and_scored_once",
             "pair_count_per_seed": CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT,
             "total_watermarked_rows": GATE_V2_TOTAL_ROWS,
             "seed_bases": list(GATE_V2_CONFIRMATION_SEED_BASES),
@@ -229,16 +248,21 @@ def gate_v2_payload() -> dict[str, object]:
                 "required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate",
             ],
             "artifacts": [gate_v2_confirmation_artifact_path(seed) for seed in GATE_V2_CONFIRMATION_SEED_BASES],
-            "artifacts_present": gate_v2_confirmation_artifacts_present(),
+            "artifacts_present": True,
         },
-        "why_not_fully_satisfied": (
-            "the protocol is preregistered; confirmation-grade artifacts are not yet written"
+        "why_not_fully_satisfied": None,
+        "authorization_status": "not_authorized",
+        "authorization_blocked_on": (
+            "product engineering, fail-closed coverage, package E2E of the authorized "
+            "transform, and a new release; confirmation does not enable the CLI"
         ),
         "notes": (
+            "Gate v2 confirmation passed on seeds 1200000/1210000/1220000. "
             "Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on "
             "the Cycle 8 v1 publishability report stays FAIL. Mn-strip and "
             "default-ignorable-strip remain recorded stress tests. Public CLI stays empty. "
-            "Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000."
+            "Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000 "
+            "or 1200000/1210000/1220000."
         ),
     }
     return {**payload, "gate_hash": sha256_json(payload)}
@@ -271,21 +295,32 @@ def assert_gate_v2_committed() -> None:
     if digest != CYCLE8_PUBLISHABILITY_GATE_V2_HASH:
         raise ValueError("Gate v2 spec hash is not the frozen digest")
     if disk["product_authorized"] is True:
-        raise ValueError("Gate v2 must not product-authorize a mechanism while preregistered")
-    if disk["status"] != GATE_V2_STATUS_PREREGISTERED:
-        raise ValueError("Gate v2 must remain preregistered until confirmation artifacts exist")
-    if disk["confirmation_grade"] is True:
-        raise ValueError("Gate v2 must not claim confirmation grade before artifacts exist")
-    if disk["fully_satisfied"] is True:
-        raise ValueError("Gate v2 must not claim to be fully satisfied before artifacts exist")
+        raise ValueError("Gate v2 confirmation must not by itself product-authorize a mechanism")
+    if disk["status"] != GATE_V2_STATUS_CONFIRMED:
+        raise ValueError("Gate v2 must be confirmed_not_product_authorized after confirmation artifacts exist")
+    if disk["confirmation_grade"] is not True:
+        raise ValueError("Gate v2 confirmation grade must be recorded")
+    if disk["fully_satisfied"] is not True:
+        raise ValueError("Gate v2 must record that confirmation conditions are met")
     if disk["mix_sanitizer_gate_v1"] != "FAIL":
         raise ValueError("Gate v2 must not rewrite the v1 mix sanitizer gate")
     if disk["required_sanitizer_bundle_not_weakened"] is not True:
         raise ValueError("Gate v2 must not weaken the required sanitizer bundle")
+    if disk["evidence_label"] != "VERIFIED":
+        raise ValueError("Gate v2 confirmation must remain labelled VERIFIED")
     if release_transform_registry().rules != ():
-        raise ValueError("release_transform_registry must stay empty")
+        raise ValueError("release_transform_registry must stay empty until product authorization")
     if product_approved_carriers_v1() != frozenset():
-        raise ValueError("product_approved_carriers_v1 must stay empty")
+        raise ValueError("product_approved_carriers_v1 must stay empty until product authorization")
+    scorecard = build_gate_v2_confirmation_scorecard()
+    if scorecard["confirmation"] is not True:
+        raise ValueError("Gate v2 confirmation scorecard must pass")
+    if scorecard["product_authorized"] is True:
+        raise ValueError("the confirmation scorecard must not product-authorize")
+    if CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH == "0" * 64:
+        raise ValueError("Gate v2 confirmation scorecard hash is not frozen")
+    if scorecard["scorecard_hash"] != CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH:
+        raise ValueError("Gate v2 confirmation scorecard hash is not the frozen digest")
     live = gate_v2_payload()
     if live != disk:
         raise ValueError("Gate v2 spec does not match the live payload")
@@ -309,7 +344,8 @@ def build_gate_v2_confirmation_scorecard() -> dict[str, object]:
         artifact = json.loads(Path(relative).read_text(encoding="utf-8"))
         body = {key: value for key, value in artifact.items() if key != "artifact_hash"}
         digest = sha256_json(body)
-        if artifact.get("artifact_hash") != digest:
+        expected = GATE_V2_CONFIRMATION_ARTIFACT_HASHES[seed_base]
+        if artifact.get("artifact_hash") != digest or digest != expected:
             raise ValueError("Gate v2 confirmation artifact hash mismatch")
         if int(artifact["seed_base"]) != seed_base:
             raise ValueError("Gate v2 confirmation artifact seed mismatch")
@@ -363,7 +399,7 @@ def build_gate_v2_confirmation_scorecard() -> dict[str, object]:
     payload = {
         "algorithm_version": CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_VERSION,
         "gate_version": CYCLE8_PUBLISHABILITY_GATE_V2_VERSION,
-        "status": "measured",
+        "status": "confirmed",
         "confirmation": passed,
         "confirmation_grade": passed,
         "fully_satisfied": passed,
@@ -399,3 +435,16 @@ def build_gate_v2_confirmation_scorecard() -> dict[str, object]:
         ),
     }
     return {**payload, "scorecard_hash": sha256_json(payload)}
+
+
+def write_gate_v2_confirmation_scorecard(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH)
+    payload = build_gate_v2_confirmation_scorecard()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_gate_v2_confirmation_scorecard(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py
index 42536f2f..efef46fa 100644
--- a/fuckmark/cycle8/ledger.py
+++ b/fuckmark/cycle8/ledger.py
@@ -238,7 +238,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]:
             "Gate v2 confirmation seeds 1200000, 1210000, and 1220000 and topics "
             "'gate v2 confirmation primary', 'gate v2 confirmation replication', and "
             "'gate v2 confirmation holdout' were reserved in global-seed-ledger-v1 "
-            "before Gate v2 confirmation generation. "
+            "before Gate v2 confirmation generation and were generated once. Combined "
+            "mix required-sanitizer WM 0/192. Those bases are spent. Do not rerun looking "
+            "for zero. "
             "cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was "
             "generated once under the freeze; those bases are spent. Do not rerun "
             "looking for zero, and do not retune on Cycle 6 formal residuals."
diff --git a/fuckmark/cycle8/threat_model_audit.py b/fuckmark/cycle8/threat_model_audit.py
index 1d273ba3..f48371ce 100644
--- a/fuckmark/cycle8/threat_model_audit.py
+++ b/fuckmark/cycle8/threat_model_audit.py
@@ -21,7 +21,7 @@
 
 CYCLE8_THREAT_MODEL_AUDIT_VERSION = "cycle8-threat-model-audit-v1"
 CYCLE8_THREAT_MODEL_AUDIT_PATH = "specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json"
-CYCLE8_THREAT_MODEL_AUDIT_HASH = "32f30b69a07cf13a92c2c76b4242c54df103cf15de6818ae8b23d4a07e3eb83e"
+CYCLE8_THREAT_MODEL_AUDIT_HASH = "bcd3026a514e1dc80338f57345d65aa1ec51a816e0135ab14843d850ed9aa680"
 
 AUDIT_SOURCE = "I do not agree."
 H16_RESEARCH_EXTRA_INSTALL = 'pip install -e ".[research]"'
@@ -59,7 +59,25 @@
 )
 PRODUCT_SHAPING_CONTEXT_IDS = ("latin", "latin_lower", "digit", "space_left", "space_right", "start", "end", "punct")
 ORIGINAL_H16_SCAN_CONTEXT_IDS = ("latin",)
-TWELVE_CONTEXT_RESCAN_STATUS = "tool_corrected_measurement_pending"
+TWELVE_CONTEXT_RESCAN_STATUS = "recorded"
+TWELVE_CONTEXT_INVISIBLE_COUNT = 396
+TWELVE_CONTEXT_PRODUCT_INVISIBLE_COUNT = 396
+TWELVE_CONTEXT_INTERSECTION_COUNT = 0
+TWELVE_CONTEXT_PER_CONTEXT = {
+    "arabic": 390,
+    "cjk": 396,
+    "devanagari": 396,
+    "digit": 395,
+    "end": 396,
+    "hangul": 396,
+    "latin": 396,
+    "latin_lower": 396,
+    "punct": 395,
+    "space_left": 396,
+    "space_right": 396,
+    "start": 395,
+}
+TWELVE_CONTEXT_ARTIFACT = "evidence/h16-local/shaping-closure-12context.json"
 
 SHAPING_INVISIBLE_RANGES: tuple[tuple[int, int], ...] = (
     (0x00AD, 0x00AD),
@@ -389,10 +407,12 @@ def threat_model_audit_payload() -> dict[str, object]:
                 "On that A/B measurement, invisibility and required-sanitizer survival are "
                 "complementary: every one of the 396 invisible code points in the Chromium pre "
                 "font is Mn or Cf, and the required bundle strips exactly Mn, Cf and "
-                "default-ignorable. The 12-context claim was an overclaim (Codex P1). The scan "
-                "tool now iterates all 12 advertised contexts; the corrected measurement is "
-                "pending. H9-H15 negatives still measure the fixed-point gate rather than a "
-                "missing English-ASCII product carrier on the A/B oracle."
+                "default-ignorable. The 12-context claim was an overclaim (Codex P1). The "
+                "corrected 12-context rescan is recorded: union still 396, all Mn or Cf, "
+                "intersection still 0. Arabic context 390, digit/punct/start 395; script "
+                "contexts on DejaVu Sans Mono may be missing-glyph behavior. H9-H15 negatives "
+                "still measure the fixed-point gate rather than a missing English-ASCII "
+                "product carrier."
             ),
             "evidence": "evidence/h16-local/shaping-closure.json",
         },
@@ -414,6 +434,13 @@ def threat_model_audit_payload() -> dict[str, object]:
             "original_h16_scan_context_ids": list(ORIGINAL_H16_SCAN_CONTEXT_IDS),
             "original_h16_scan_overclaimed_twelve_contexts": True,
             "twelve_context_rescan_status": TWELVE_CONTEXT_RESCAN_STATUS,
+            "twelve_context_artifact": TWELVE_CONTEXT_ARTIFACT,
+            "twelve_context_invisible_count": TWELVE_CONTEXT_INVISIBLE_COUNT,
+            "twelve_context_invisible_in_product_contexts_count": TWELVE_CONTEXT_PRODUCT_INVISIBLE_COUNT,
+            "twelve_context_intersection_count": TWELVE_CONTEXT_INTERSECTION_COUNT,
+            "twelve_context_invisible_categories": {"Cf": 134, "Mn": 262},
+            "twelve_context_per_context": dict(TWELVE_CONTEXT_PER_CONTEXT),
+            "twelve_context_script_contexts_may_be_missing_glyph": True,
             "product_shaping_context_ids": list(PRODUCT_SHAPING_CONTEXT_IDS),
             "required_sanitizer_fixed_point_count": REQUIRED_SANITIZER_FIXED_POINT_COUNT,
             "shaping_invisible_count": shaping_invisible_codepoint_count(),
@@ -468,7 +495,7 @@ def threat_model_audit_payload() -> dict[str, object]:
             ],
             "adoption": "requires an explicit product decision and a fresh confirmation run",
             "formalized_as": "cycle8-publishability-gate-v2",
-            "formalization_status": "preregistered_not_active",
+            "formalization_status": "confirmed_not_product_authorized",
         },
         "proposed_gate_status_on_existing_evidence": proposed_gate_status_on_existing_evidence(),
         "stronger_priority_zero_safe_mechanism": None,
@@ -507,11 +534,10 @@ def threat_model_audit_payload() -> dict[str, object]:
             "the already recorded frozen confirmation evidence, the frozen conditions of the "
             "proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, "
             "every frozen sanitizer still detects 0, and visible text passes 192 of 192. "
-            "The real-sanitizer condition is exploratory, so the gate is not claimed "
-            "satisfied at confirmation grade. Gate v2 is now formalized as "
-            "cycle8-publishability-gate-v2 and preregistered, not active. What remains is a "
-            "fresh confirmation run on unspent seeds 1200000/1210000/1220000. This record "
-            "does not product-authorize mix: the required bundle is unchanged, the v1 mix "
+            "The real-sanitizer condition is now confirmation-grade on seeds "
+            "1200000/1210000/1220000: mix 0/192 after the UnicodeSanitizer, carrier-free "
+            "182/192, drop 6 from identity 188/192. Gate v2 is confirmed_not_product_authorized. "
+            "This record does not product-authorize mix: the required bundle is unchanged, the v1 mix "
             "sanitizer gate stays FAIL, and the public CLI stays empty."
         ),
     }
@@ -558,6 +584,12 @@ def assert_threat_model_audit_committed() -> None:
         raise ValueError("the original H16 12-context overclaim must remain recorded")
     if disk["closure"]["shaping_contexts_scanned"] != 1:
         raise ValueError("the original H16 scan executed one context")
+    if disk["closure"]["twelve_context_rescan_status"] != "recorded":
+        raise ValueError("the 12-context rescan must remain recorded")
+    if disk["closure"]["twelve_context_intersection_count"] != 0:
+        raise ValueError("the 12-context intersection must be empty")
+    if disk["closure"]["twelve_context_invisible_count"] != 396:
+        raise ValueError("the 12-context union must not rewrite the 396 count")
     if disk["proposed_gate_v2"]["formalized_as"] != "cycle8-publishability-gate-v2":
         raise ValueError("H16 must point at the formal Gate v2 spec")
     if disk["closure"]["intersection_count"] != 0:
diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py
index 40d72bbe..a7fd80a3 100644
--- a/fuckmark/seeds/ledger.py
+++ b/fuckmark/seeds/ledger.py
@@ -139,9 +139,9 @@ def global_seed_rows() -> tuple[dict[str, object], ...]:
         _row(1080000, "cycle8", "deepmind_transfer_holdout", CYCLE8_DEEPMIND_TRANSFER_HOLDOUT_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000."),
         _row(1090000, "cycle8", "second_model_transfer", CYCLE8_SECOND_MODEL_TRANSFER_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000."),
         _row(1100000, "cycle8", "control_mix_exploratory_development", CYCLE8_CONTROL_MIX_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000."),
-        _row(1200000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation primary n=64. Detector-after-sanitizer protocol including lm-watermarking UnicodeSanitizer and carrier-free control. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
-        _row(1210000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation replication n=64. Independent of 1200000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
-        _row(1220000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=True, notes="Reserved before generation. Gate v2 confirmation holdout n=64. Independent of 1200000 and 1210000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores."),
+        _row(1200000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Generated once under cycle8-publishability-gate-v2. n=64: identity WM 64/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 61/64, visible mix WM 64/64, mix max 0.519124. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000."),
+        _row(1210000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Generated once under cycle8-publishability-gate-v2. n=64: identity WM 61/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 60/64, visible mix WM 64/64, mix max 0.526739. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000."),
+        _row(1220000, "cycle8", "gate_v2_confirmation", CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC, "global-seed-ledger-v1", generated=True, scored=True, publicly_exposed=False, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Generated once under cycle8-publishability-gate-v2. n=64: identity WM 63/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 61/64, visible mix WM 64/64, mix max 0.516419. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000."),
         _row(1120000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1130000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
         _row(1140000, "effectiveness", "schedule", "effectiveness profile", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Frozen effectiveness-profile schedule base."),
@@ -177,8 +177,10 @@ def global_seed_ledger_payload() -> dict[str, object]:
             "DeepMind synthid-text 30-key mix transfer. "
             "Seed 1090000 is reserved for independent second-model mix transfer. "
             "Seed 1100000 is reserved for independent control-mix sanitizer exploratory. "
-            "Seeds 1200000, 1210000, and 1220000 are reserved for Gate v2 confirmation "
-            "before generation. Do not reuse 830000, 840000, or 850000. Do not generate 950000."
+            "Seeds 1200000, 1210000, and 1220000 were generated once as Gate v2 confirmation "
+            "and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible "
+            "192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking "
+            "for zero. Do not reuse 830000, 840000, or 850000. Do not generate 950000."
         ),
         "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES),
         "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES),
@@ -382,12 +384,12 @@ def assert_new_cycle8_gate_v2_confirmation_generation_seed(seed_base: int) -> No
         CYCLE8_GATE_V2_CONFIRMATION_HOLDOUT_SEED_BASE,
     }:
         raise ValueError("seed_base is not a Cycle 8 Gate v2 confirmation seed")
-    if row["eligible_for_confirmation"] is not True:
-        raise ValueError("Gate v2 confirmation seed is not eligible for confirmation")
     if row["generated"] is True:
         raise ValueError("Gate v2 confirmation seed already generated")
     if row["scored"] is True:
         raise ValueError("Gate v2 confirmation seed already scored")
+    if row["eligible_for_confirmation"] is not True:
+        raise ValueError("Gate v2 confirmation seed is not eligible for confirmation")
 
 
 def assert_new_cycle8_control_mix_generation_seed(seed_base: int) -> None:
diff --git a/specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json b/specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json
new file mode 100644
index 00000000..6e870dbe
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-gate-v2-confirmation-scorecard-v1","carrier_free_unicode_drop_from_identity":6,"carrier_free_unicode_watermarked_detected":182,"confirmation":true,"confirmation_grade":true,"corpora":[{"artifact_hash":"34528f2fdbd52d9f6e288c4487bf7f37d453144e73e0b16e34b284bf0d0412a5","carrier_free_unicode_watermarked_detected":61,"identity_pristine_watermarked_detected":64,"mix_max_score":0.5191244339951236,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","seed_base":1200000,"topic":"gate v2 confirmation primary","visible_pass_count":128},{"artifact_hash":"59288b71fbd1166b31e97e6e0ba72c484e050ffb0a456a949d45e91d52c3d234","carrier_free_unicode_watermarked_detected":60,"identity_pristine_watermarked_detected":61,"mix_max_score":0.5267390214198725,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","seed_base":1210000,"topic":"gate v2 confirmation replication","visible_pass_count":128},{"artifact_hash":"e1ec65072f1d41f7d62966e0d24b46bed6b800408dd60cd4697f31570e16e924","carrier_free_unicode_watermarked_detected":61,"identity_pristine_watermarked_detected":63,"mix_max_score":0.5164185408087847,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"mix_unicode_sanitizer_watermarked_detected":0,"path":"evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json","seed_base":1220000,"topic":"gate v2 confirmation holdout","visible_pass_count":128}],"do_not_generate_950000":true,"evidence_label":"VERIFIED","fully_satisfied":true,"gate_version":"cycle8-publishability-gate-v2","identity_unwatermarked_detected":1,"identity_watermarked_detected":188,"mix_max_score":0.5267390214198725,"mix_unwatermarked_detected":0,"mix_watermarked_detected_by_diagnostic_sanitizer":{"required_bundle":188},"mix_watermarked_detected_by_required_sanitizer":{"cf_strip":0,"lm_watermarking_unicode_sanitizer":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"raw":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"notes":"One-shot Gate v2 confirmation of detector-after-sanitizer publishability. Do not rerun looking for zero. Do not retune on these corpora. required_bundle is diagnostic. Public CLI remains empty until a separate product-authorization step.","pass_conditions":{"carrier_free_unicode_floor":true,"carrier_free_unicode_max_drop":true,"identity_watermarked_detected":true,"mix_required_sanitizers_undetected":true,"mix_unwatermarked_undetected":true,"visible_invariance":true},"product_authorized":false,"rerun_looking_for_zero":false,"run_once":true,"scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","status":"confirmed","threshold":0.5570987654320988,"visible_pass_rate":"192/192"}
diff --git a/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
index d7227063..9ad46d58 100644
--- a/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
@@ -1 +1 @@
-{"added_versus_h16_proposal":["ws_collapse_nfkc_cf_strip"],"addition_reason":"frozen Cycle 7 product-contract sanitizer omitted from the H16 draft","algorithm_version":"cycle8-publishability-gate-v2","approved_carriers_empty":true,"classifications":{"cf_strip":"frozen_product_requirement","default_ignorable_removal":"stress_only_not_frozen","homoglyphs":"unsupported","lm_watermarking_unicode_sanitizer":"real_deployed_preprocessing","nfc":"frozen_product_requirement","nfkc":"frozen_product_requirement","nfkc_cf_strip":"frozen_product_requirement","nonspacing_mark_removal":"stress_only_not_frozen","raw":"real_deployed_preprocessing","required_bundle":"known_destructive_countermeasure","truecase":"unsupported","ws_collapse":"frozen_product_requirement","ws_collapse_nfkc_cf_strip":"frozen_product_requirement"},"cli_identity":true,"condition":"detector(S(T(x))) remains negative for each required sanitizer S, while VISIBLE(x) == VISIBLE(T(x)) on every eligible row","confirmation_grade":false,"confirmation_protocol":{"arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifacts":["evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json"],"artifacts_present":false,"detector_algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","diagnostic_not_pass_conditions":["required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate"],"forbidden_seeds":[830000,840000,850000,950000,890000],"mechanism_id":"u034f-ufe00-letter-alt-v1","pair_count_per_seed":64,"pass_conditions":["pristine/identity watermarked detection stays at or above the preregistered floor","transformed mix watermarked detection is 0 after every required sanitizer","transformed mix unwatermarked detection is 0 on raw","exact visible invariance passes every mix watermarked row","frozen product-contract sanitizer arms remain 0 on mix watermarked rows","lm-watermarking UnicodeSanitizer mix watermarked detection is 0","carrier-free identity plus UnicodeSanitizer still detects strongly enough","results are written once and hashed; do not rerun looking for zero","cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here"],"rerun_looking_for_zero":false,"run_once":true,"scored_sanitizer_ids":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer","required_bundle"],"seed_bases":[1200000,1210000,1220000],"status":"preregistered_before_generation","thresholds":{"carrier_free_unicode_detected_min":96,"carrier_free_unicode_max_drop_from_identity":16,"identity_watermarked_detected_min":168,"mix_unwatermarked_detected_max":0,"mix_visible_pass_min":192,"mix_watermarked_detected_max":0},"topics":["gate v2 confirmation primary","gate v2 confirmation replication","gate v2 confirmation holdout"],"total_watermarked_rows":192},"decision":{"form":"detector_after_sanitizer","rationale":"The product objective is that detection remain negative after sanitizers a real detector pipeline can run, while exact visible text is preserved. Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The H12-H15 required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against Mn-strip and default-ignorable-strip is a stress test of carrier survival, not a product publishability requirement.","rejected_form":"carrier_fixed_point_of_every_sanitizer"},"diagnostic_sanitizers":["required_bundle"],"evidence_label":"HYPOTHESIS","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"stress_only_not_frozen in the frozen product contract; undeployable on ordinary multilingual text; not used by measured production detector tokenizers","fully_satisfied":false,"gate_hash":"ae34554f54db68732975d933a7a47fc29b779e6026d7e2f2162ef15c3a67f086","mix_sanitizer_gate_v1":"FAIL","notes":"Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on the Cycle 8 v1 publishability report stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests. Public CLI stays empty. Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000.","optional_unsupported":["homoglyphs","truecase"],"optional_unsupported_reason":"jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as WatermarkDetector(normalizers=['unicode']) defaults","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true,"required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer"],"status":"preregistered_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","fresh_unspent_confirmation_corpus","carrier_free_control_on_the_real_sanitizer","identity_detector_health"],"why_not_fully_satisfied":"the protocol is preregistered; confirmation-grade artifacts are not yet written"}
+{"added_versus_h16_proposal":["ws_collapse_nfkc_cf_strip"],"addition_reason":"frozen Cycle 7 product-contract sanitizer omitted from the H16 draft","algorithm_version":"cycle8-publishability-gate-v2","approved_carriers_empty":true,"authorization_blocked_on":"product engineering, fail-closed coverage, package E2E of the authorized transform, and a new release; confirmation does not enable the CLI","authorization_status":"not_authorized","classifications":{"cf_strip":"frozen_product_requirement","default_ignorable_removal":"stress_only_not_frozen","homoglyphs":"unsupported","lm_watermarking_unicode_sanitizer":"real_deployed_preprocessing","nfc":"frozen_product_requirement","nfkc":"frozen_product_requirement","nfkc_cf_strip":"frozen_product_requirement","nonspacing_mark_removal":"stress_only_not_frozen","raw":"real_deployed_preprocessing","required_bundle":"known_destructive_countermeasure","truecase":"unsupported","ws_collapse":"frozen_product_requirement","ws_collapse_nfkc_cf_strip":"frozen_product_requirement"},"cli_identity":true,"condition":"detector(S(T(x))) remains negative for each required sanitizer S, while VISIBLE(x) == VISIBLE(T(x)) on every eligible row","confirmation_grade":true,"confirmation_protocol":{"arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifacts":["evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json"],"artifacts_present":true,"detector_algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","diagnostic_not_pass_conditions":["required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate"],"forbidden_seeds":[830000,840000,850000,950000,890000],"mechanism_id":"u034f-ufe00-letter-alt-v1","pair_count_per_seed":64,"pass_conditions":["pristine/identity watermarked detection stays at or above the preregistered floor","transformed mix watermarked detection is 0 after every required sanitizer","transformed mix unwatermarked detection is 0 on raw","exact visible invariance passes every mix watermarked row","frozen product-contract sanitizer arms remain 0 on mix watermarked rows","lm-watermarking UnicodeSanitizer mix watermarked detection is 0","carrier-free identity plus UnicodeSanitizer still detects strongly enough","results are written once and hashed; do not rerun looking for zero","cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here"],"rerun_looking_for_zero":false,"run_once":true,"scored_sanitizer_ids":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer","required_bundle"],"seed_bases":[1200000,1210000,1220000],"status":"generated_and_scored_once","thresholds":{"carrier_free_unicode_detected_min":96,"carrier_free_unicode_max_drop_from_identity":16,"identity_watermarked_detected_min":168,"mix_unwatermarked_detected_max":0,"mix_visible_pass_min":192,"mix_watermarked_detected_max":0},"topics":["gate v2 confirmation primary","gate v2 confirmation replication","gate v2 confirmation holdout"],"total_watermarked_rows":192},"confirmation_result":{"carrier_free_unicode_drop_from_identity":6,"carrier_free_unicode_watermarked_detected":182,"identity_unwatermarked_detected":1,"identity_watermarked_detected":188,"mix_max_score":0.5267390214198725,"mix_unwatermarked_detected":0,"mix_watermarked_detected_by_diagnostic_sanitizer":{"required_bundle":188},"mix_watermarked_detected_by_required_sanitizer":{"cf_strip":0,"lm_watermarking_unicode_sanitizer":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"raw":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"visible_pass_rate":"192/192"},"confirmation_scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","decision":{"form":"detector_after_sanitizer","rationale":"The product objective is that detection remain negative after sanitizers a real detector pipeline can run, while exact visible text is preserved. Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The H12-H15 required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against Mn-strip and default-ignorable-strip is a stress test of carrier survival, not a product publishability requirement.","rejected_form":"carrier_fixed_point_of_every_sanitizer"},"diagnostic_sanitizers":["required_bundle"],"evidence_label":"VERIFIED","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"stress_only_not_frozen in the frozen product contract; undeployable on ordinary multilingual text; not used by measured production detector tokenizers","fully_satisfied":true,"gate_hash":"7be0e8af4e17e727159108dc9d7f40bb008eeecb488c06def8c9311eadddfda3","mix_sanitizer_gate_v1":"FAIL","notes":"Gate v2 confirmation passed on seeds 1200000/1210000/1220000. Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on the Cycle 8 v1 publishability report stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests. Public CLI stays empty. Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000 or 1200000/1210000/1220000.","optional_unsupported":["homoglyphs","truecase"],"optional_unsupported_reason":"jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as WatermarkDetector(normalizers=['unicode']) defaults","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true,"required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer"],"status":"confirmed_not_product_authorized","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","product_engineering_authorization"],"why_not_fully_satisfied":null}
diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
index fcd92c9b..1b200175 100644
--- a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"control_mix_exploratory_seed_base":1100000,"control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","gate_v2_confirmation_holdout_seed_base":1220000,"gate_v2_confirmation_holdout_topic":"gate v2 confirmation holdout","gate_v2_confirmation_primary_seed_base":1200000,"gate_v2_confirmation_primary_topic":"gate v2 confirmation primary","gate_v2_confirmation_replication_seed_base":1210000,"gate_v2_confirmation_replication_topic":"gate v2 confirmation replication","gate_v2_confirmation_seed_bases":[1200000,1210000,1220000],"generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"18a0d093044b20b78949f9e13fb230876b5051aa0a6cbd8e1d4456bc21a92fe6","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. Control-mix exploratory seed 1100000 and topic 'control mix sanitizer exploratory' were reserved in global-seed-ledger-v1 before control-mix generation. Gate v2 confirmation seeds 1200000, 1210000, and 1220000 and topics 'gate v2 confirmation primary', 'gate v2 confirmation replication', and 'gate v2 confirmation holdout' were reserved in global-seed-ledger-v1 before Gate v2 confirmation generation. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
+{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"control_mix_exploratory_seed_base":1100000,"control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle7_publicly_exposed_validation_seed_base":880000,"deepmind_transfer_holdout_seed_base":1080000,"deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","deepmind_transfer_primary_seed_base":1060000,"deepmind_transfer_primary_topic":"deepmind mix transfer primary","deepmind_transfer_replication_seed_base":1070000,"deepmind_transfer_replication_topic":"deepmind mix transfer replication","density_exploratory_seed_base":960000,"density_exploratory_topic":"carrier density follow-up","exploratory_development_seed_base":890000,"exploratory_development_seed_bases":[890000,920000],"exploratory_replication_seed_base":900000,"exploratory_replication_topic":"invisible carrier replication","exploratory_topic":"invisible carrier development","gate_v2_confirmation_holdout_seed_base":1220000,"gate_v2_confirmation_holdout_topic":"gate v2 confirmation holdout","gate_v2_confirmation_primary_seed_base":1200000,"gate_v2_confirmation_primary_topic":"gate v2 confirmation primary","gate_v2_confirmation_replication_seed_base":1210000,"gate_v2_confirmation_replication_topic":"gate v2 confirmation replication","gate_v2_confirmation_seed_bases":[1200000,1210000,1220000],"generation":"cycle8_exact_visible_projection","historical_ledger_version":"cycle8-seed-ledger-v1","inherited_spent_seed_bases":[760000,770000,780000,720000,730000,401000,402000,500000,61000,1120000,1130000,1140000,1150000,1160000,810000,820000,860000,870000],"ledger_hash":"55f106bc745f43ebdcf6d831ac0d1fcde8580e0fc27bda1a4674a1b35dbb4cdd","letter_benchmark_pair_count":64,"letter_benchmark_primary_seed_base":980000,"letter_benchmark_primary_topic":"letter carrier system benchmark","letter_benchmark_replication_seed_base":990000,"letter_benchmark_replication_topic":"letter carrier benchmark replication","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","margin_primary_seed_base":1000000,"margin_primary_topic":"margin robustness development","margin_replication_seed_base":1010000,"margin_replication_topic":"margin robustness replication","mix_primary_seed_base":1020000,"mix_primary_topic":"letter mix margin development","mix_replication_seed_base":1030000,"mix_replication_topic":"letter mix margin replication","mix_scale_primary_seed_base":1040000,"mix_scale_primary_topic":"letter mix scale development","mix_scale_replication_seed_base":1050000,"mix_scale_replication_topic":"letter mix scale replication","scale_exploratory_seed_base":930000,"scale_exploratory_topic":"carrier scaling","scale_pair_count":16,"scale_replication_seed_base":940000,"scale_replication_topic":"independent scale replication","scale_validation_seed_base":950000,"scale_validation_topic":"clean scale validation","second_model_transfer_seed_base":1090000,"second_model_transfer_topic":"second model mix transfer","secondary_exploratory_seed_base":920000,"selection_rule":"Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before any Cycle 8 text generation or detector look. Scale seeds 930000, 940000, and 950000 and topics 'carrier scaling', 'independent scale replication', and 'clean scale validation' were reserved in global-seed-ledger-v1 before any scale generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once as cycle8-mix-freeze-v1 confirmation and are spent. Do not inspect residual text to write rules. Do not generate 950000 until the U+034F x1 mechanism is frozen. Density seed 960000 and topic 'carrier density follow-up' were reserved in global-seed-ledger-v1 before density generation. Letter seed 970000 and topic 'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 before letter generation. Benchmark seeds 980000 and 990000 and topics 'letter carrier system benchmark' and 'letter carrier benchmark replication' were reserved in global-seed-ledger-v1 before benchmark generation. Margin seeds 1000000 and 1010000 and topics 'margin robustness development' and 'margin robustness replication' were reserved in global-seed-ledger-v1 before margin generation. Mix seeds 1020000 and 1030000 and topics 'letter mix margin development' and 'letter mix margin replication' were reserved in global-seed-ledger-v1 before mix generation. Mix scale seeds 1040000 and 1050000 and topics 'letter mix scale development' and 'letter mix scale replication' were reserved in global-seed-ledger-v1 before mix scale generation. DeepMind mix transfer seeds 1060000, 1070000, and 1080000 and topics 'deepmind mix transfer primary', 'deepmind mix transfer replication', and 'deepmind mix transfer holdout' were reserved in global-seed-ledger-v1 before DeepMind transfer generation. Second-model mix transfer seed 1090000 and topic 'second model mix transfer' were reserved in global-seed-ledger-v1 before second-model transfer generation. Control-mix exploratory seed 1100000 and topic 'control mix sanitizer exploratory' were reserved in global-seed-ledger-v1 before control-mix generation. Gate v2 confirmation seeds 1200000, 1210000, and 1220000 and topics 'gate v2 confirmation primary', 'gate v2 confirmation replication', and 'gate v2 confirmation holdout' were reserved in global-seed-ledger-v1 before Gate v2 confirmation generation and were generated once. Combined mix required-sanitizer WM 0/192. Those bases are spent. Do not rerun looking for zero. cycle8-mix-freeze-v1 confirmation of 830000, 840000, and 850000 was generated once under the freeze; those bases are spent. Do not rerun looking for zero, and do not retune on Cycle 6 formal residuals.","tiny_scored_seed_bases":[890000,900000,910000],"validation_development_seed_base":910000,"validation_topic":"invisible carrier validation"}
diff --git a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
index f89bc6d2..38695d46 100644
--- a/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
+++ b/specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json
@@ -1 +1 @@
-{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"32f30b69a07cf13a92c2c76b4242c54df103cf15de6818ae8b23d4a07e3eb83e","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism that is both shaping-invisible in the original H16 latin A/B oracle and a fixed point of the required bundle, and that A/B measurement found 396 invisible code points, all Mn or Cf. H16 advertised 12 shaping contexts but the committed scan executed only latin A/B; that overclaim is recorded here and the scan tool now iterates all 12 contexts. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space on the A/B oracle is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself, but run on carrier-free watermarked text it still detects 46 of 48, which attributes the drop to the carrier rather than to the sanitizer. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. The real-sanitizer condition is exploratory, so the gate is not claimed satisfied at confirmation grade. Gate v2 is now formalized as cycle8-publishability-gate-v2 and preregistered, not active. What remains is a fresh confirmation run on unspent seeds 1200000/1210000/1220000. This record does not product-authorize mix: the required bundle is unchanged, the v1 mix sanitizer gate stays FAIL, and the public CLI stays empty.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"original_h16_scan_context_ids":["latin"],"original_h16_scan_overclaimed_twelve_contexts":true,"product_shaping_context_ids":["latin","latin_lower","digit","space_left","space_right","start","end","punct"],"required_sanitizer_fixed_point_count":267550,"shaping_contexts_advertised":12,"shaping_contexts_scanned":1,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0,"twelve_context_rescan_status":"tool_corrected_measurement_pending"},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The original H16 scan measured one context, latin A/B, not the advertised 12. On that A/B measurement, invisibility and required-sanitizer survival are complementary: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. The 12-context claim was an overclaim (Codex P1). The scan tool now iterates all 12 advertised contexts; the corrected measurement is pending. H9-H15 negatives still measure the fixed-point gate rather than a missing English-ASCII product carrier on the A/B oracle.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","formalization_status":"preregistered_not_active","formalized_as":"cycle8-publishability-gate-v2","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"confound_ruled_out":"the real sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself; run on carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier","model":"openai-community/gpt2","per_variant":[{"carrier_free_detected":47,"restores_source":0,"variant":"raw","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"carrier_free_detected":46,"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that sanitizer costs only one row of detection power on its own. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_carrier_free_detected":46,"real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
+{"algorithm_version":"cycle8-threat-model-audit-v1","audit_hash":"bcd3026a514e1dc80338f57345d65aa1ec51a816e0135ab14843d850ed9aa680","audit_target":"the H12-H15 required sanitizer bundle, not a new carrier search","boundary":"The H12-H15 sanitizer gate cannot be satisfied by any mechanism that is both shaping-invisible in the original H16 latin A/B oracle and a fixed point of the required bundle, and that A/B measurement found 396 invisible code points, all Mn or Cf. H16 advertised 12 shaping contexts but the committed scan executed only latin A/B; that overclaim is recorded here and the scan tool now iterates all 12 contexts. Substitution adds nothing: 14 code points render as an ASCII space and none survives the bundle. Canonical re-encoding adds nothing either, because the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The only remainder in the whole space on the A/B oracle is C0/C1, which the ordinary-plain-text requirement excludes. Meanwhile the two sanitizers that close the space, Mn-strip and default-ignorable-strip, are marked stress_only_not_frozen by the frozen product contract, are applied by no production detector tokenizer measured here, and corrupt ordinary Devanagari, Hebrew, Thai, Persian and emoji text. That does not mean no sanitizer is real. Exactly one ships on by default, the lm-watermarking UnicodeSanitizer, and it is NFC plus a fixed BMP regex plus Cc-strip: it keeps 366 of the 396 invisible code points including U+034F, removes U+FE00, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Measured on the exploratory lane, seed 890000, mix still evades it at 0 of 48 watermarked rows against 47 of 48 pristine, exactly as under raw. That sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself, but run on carrier-free watermarked text it still detects 46 of 48, which attributes the drop to the carrier rather than to the sanitizer. The one variant that restores detection is the required bundle itself, at 47 of 48, and it does so only because it reconstructs the original string on all 96 rows. Read against the already recorded frozen confirmation evidence, the frozen conditions of the proposed gate are also met: identity detects 185 of 192, mix detects 0 of 192, every frozen sanitizer still detects 0, and visible text passes 192 of 192. The real-sanitizer condition is now confirmation-grade on seeds 1200000/1210000/1220000: mix 0/192 after the UnicodeSanitizer, carrier-free 182/192, drop 6 from identity 188/192. Gate v2 is confirmed_not_product_authorized. This record does not product-authorize mix: the required bundle is unchanged, the v1 mix sanitizer gate stays FAIL, and the public CLI stays empty.","closure":{"ascii_domain_is_normalization_fixed_point":true,"assigned_codepoints_scanned":286719,"cc_required_sanitizer_fixed_point_count":63,"intersection_count":0,"oracle_validation_agreement":20,"oracle_validation_disagreements":["cf_zwnj","cc_del","cc_c1_pad"],"oracle_validation_sample":23,"original_h16_scan_context_ids":["latin"],"original_h16_scan_overclaimed_twelve_contexts":true,"product_shaping_context_ids":["latin","latin_lower","digit","space_left","space_right","start","end","punct"],"required_sanitizer_fixed_point_count":267550,"shaping_contexts_advertised":12,"shaping_contexts_scanned":1,"shaping_invisible_all_stripped_by_required_bundle":true,"shaping_invisible_categories":{"Cf":134,"Mn":262},"shaping_invisible_count":396,"shaping_invisible_outside_mn_cf":[],"substitution_class_render_identical_count":14,"substitution_class_survivor_count":0,"twelve_context_artifact":"evidence/h16-local/shaping-closure-12context.json","twelve_context_intersection_count":0,"twelve_context_invisible_categories":{"Cf":134,"Mn":262},"twelve_context_invisible_count":396,"twelve_context_invisible_in_product_contexts_count":396,"twelve_context_per_context":{"arabic":390,"cjk":396,"devanagari":396,"digit":395,"end":396,"hangul":396,"latin":396,"latin_lower":396,"punct":395,"space_left":396,"space_right":396,"start":395},"twelve_context_rescan_status":"recorded","twelve_context_script_contexts_may_be_missing_glyph":true},"contract_stress_only_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"control_carrier_hash":"99785e6bbe4b32b1cb91a1616fd0c1620cb78e73270299dcb7d7f9b0ac5aaffd","does_not_repeat_codepoint_enumeration":true,"findings":[{"answer":"SynthID-Text scores model tokens, so the operative normalizer is the model tokenizer. On locally cached tokenizers the Gemma normalizer is the SentencePiece whitespace Replace, and GPT-2, Llama-3 and Mistral declare no normalizer at all. None of them strips Mn, Cf or default-ignorable. All nine probe carriers reach the token stream on six of eight tokenizers. The two SentencePiece Precompiled normalizers drop only DEL.","evidence":"evidence/h16-local/tokenizer-threat-model.json","id":"q1_real_pipeline_normalization","question":"Which normalization do real watermark detection pipelines perform?"},{"answer":"Neither is realistic, but the alternative is not 'no sanitizer exists'. Exactly one real sanitizer ships on by default in the watermarking ecosystem: the lm-watermarking UnicodeSanitizer, which is NFC plus a fixed BMP regex plus Cc-strip, not Mn-strip or default-ignorable-strip. Measured here it leaves 366 of the 396 invisible code points intact, including U+034F, and it corrupts 5 of 7 ordinary samples by replacing matches with spaces. Mn-strip and default-ignorable-strip remain undeployable on their own terms: Mn-strip corrupts Devanagari, Hebrew niqqud, Thai and emoji presentation, and default-ignorable-strip corrupts Persian ZWNJ, emoji ZWJ sequences and Devanagari conjuncts.","evidence":"evidence/h16-local/sanitizer-deployability.json","id":"q2_are_stress_sanitizers_realistic","question":"Are Mn-strip and default-ignorable-strip realistic countermeasures?"},{"answer":"No, on two counts. First, scope: the frozen product contract classifies default_ignorable_removal and nonspacing_mark_removal as stress_only_not_frozen, but required_sanitizers_keep treats both as hard requirements, so H12-H15 gated on sanitizers the contract does not require. Second, form: the gate demands the carrier be a fixed point of every sanitizer, which is strictly stronger than the product goal that detection fail after sanitization.","evidence":"specs/fuckmark-user-visible-invariance-v1.contract.json","id":"q3_is_the_gate_correctly_defined","question":"Is the current sanitizer gate correctly defined for the product goal?"},{"answer":"The original H16 scan measured one context, latin A/B, not the advertised 12. On that A/B measurement, invisibility and required-sanitizer survival are complementary: every one of the 396 invisible code points in the Chromium pre font is Mn or Cf, and the required bundle strips exactly Mn, Cf and default-ignorable. The 12-context claim was an overclaim (Codex P1). The corrected 12-context rescan is recorded: union still 396, all Mn or Cf, intersection still 0. Arabic context 390, digit/punct/start 395; script contexts on DejaVu Sans Mono may be missing-glyph behavior. H9-H15 negatives still measure the fixed-point gate rather than a missing English-ASCII product carrier.","evidence":"evidence/h16-local/shaping-closure.json","id":"q4_were_h9_h15_trapped","question":"Did H9-H15 become trapped in one mechanism family or framing?"}],"gate_promotes_stress_only_sanitizers":true,"mix_gate_not_rewritten":true,"mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","mix_sanitizer_gate":"FAIL","post_sanitizer_sequences_hash":"a0fcdd2dfd7a05575592a2dec095c54513869deeb9bfdfbca4d7301ef478906c","priority_zero":"exact_user_visible_text_preservation","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","proposed_gate_status_on_existing_evidence":{"adoption_still_blocked_on":"explicit product decision plus a confirmation-grade run","all_conditions_measured":true,"confirmation_grade":false,"detected_after_each_deployable_sanitizer":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"frozen_sanitizer_conditions_satisfied":true,"frozen_sanitizer_fixture_survival":[21,21],"frozen_sanitizers_match_raw":true,"identity_watermarked_detected":185,"lm_watermarking_unicode_sanitizer_condition":"0/48 watermarked detected, exploratory","proposed_gate_v2_fully_satisfied":false,"source":"already-run frozen confirmation evidence, no new corpus","transformed_unwatermarked_rate":"0/192","transformed_watermarked_rate":"0/192","visible_pass_rate":"192/192","why_not_fully_satisfied":"the real-sanitizer condition is met on the exploratory lane only; a confirmation run on an unspent corpus remains the product-authorization standard"},"proposed_gate_v2":{"added_since_first_draft":["lm_watermarking_unicode_sanitizer"],"addition_reason":"the only sanitizer measured here that really ships on by default","adoption":"requires an explicit product decision and a fresh confirmation run","condition":"detector must not detect after each required sanitizer","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"not deployable without corrupting ordinary multilingual text","formalization_status":"confirmed_not_product_authorized","formalized_as":"cycle8-publishability-gate-v2","rationale":"Gate on detection failure after sanitizers a platform can actually run, rather than on carrier fixed-point survival under sanitizers that corrupt ordinary text.","required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","lm_watermarking_unicode_sanitizer"],"status":"proposal_only_not_active","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","chromium_portability","fresh_unspent_confirmation_corpus"]},"real_world_sanitizer":{"detection_after_this_sanitizer":{"confirmation_grade":false,"confound_ruled_out":"the real sanitizer collapses space runs and strips Cc, so it could have suppressed detection by itself; run on carrier-free watermarked text it still detects 46 of 48 against a 47 of 48 baseline, so the drop to 0 is attributable to the carrier","model":"openai-community/gpt2","per_variant":[{"carrier_free_detected":47,"restores_source":0,"variant":"raw","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"nfkc","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":0,"variant":"cf_strip","watermarked_detected":0},{"carrier_free_detected":46,"restores_source":0,"variant":"lm_watermarking_unicode_sanitizer","watermarked_detected":0},{"carrier_free_detected":47,"restores_source":96,"variant":"required_bundle","watermarked_detected":47}],"pristine_watermarked_detected":47,"reading":"Mix evades at 0 of 48 after the real sanitizer, the same as raw, while that sanitizer costs only one row of detection power on its own. The required bundle is the only variant that restores detection, and it does so only because it reconstructs the original string on every row.","real_sanitizer_carrier_free_detected":46,"real_sanitizer_watermarked_detected":0,"required_bundle_restores_source_rows":96,"required_bundle_watermarked_detected":47,"role":"exploratory_only_not_confirmation","seed_base":890000,"watermarked_rows":48},"injects_spurious_visible_spaces":true,"invisible_codepoints_surviving":366,"invisible_codepoints_total":396,"mix_carriers":["U+034F","U+FE00"],"mix_carriers_surviving":["U+034F"],"ordinary_text_corpus_size":7,"ordinary_text_corrupted":5,"ordinary_text_corrupted_sample_ids":["hebrew_niqqud","persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"output_differs_from_source":true,"restores_the_unwatermarked_source":false,"shipped_on_by_default":true,"source":"jwkirchenbauer/lm-watermarking normalizers.py UnicodeSanitizer, ruleset='whitespaces', the shipped default of WatermarkDetector(normalizers=['unicode'])","steps":["nfc","regex_replace_with_space","collapse_spaces","cc_strip"]},"required_sanitizer_bundle_not_weakened":true,"sanitizer_deployability":{"cf_strip":{"contract_category":"frozen","corrupted":3,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","devanagari_zwj_conjunct"],"of":7},"default_ignorable_strip":{"contract_category":"stress_only_not_frozen","corrupted":4,"corrupted_sample_ids":["persian_zwnj","emoji_zwj_family","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"mn_strip":{"contract_category":"stress_only_not_frozen","corrupted":5,"corrupted_sample_ids":["devanagari","hebrew_niqqud","thai","emoji_vs16","devanagari_zwj_conjunct"],"of":7},"nfc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7},"nfkc":{"contract_category":"frozen","corrupted":1,"corrupted_sample_ids":["hebrew_niqqud"],"of":7}},"spent_confirmation_corpora_not_reused":true,"stronger_priority_zero_safe_mechanism":null,"tokenizer_observations":[{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-2-2b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gemma-3-1b-it","normalizer":"Replace"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"gpt2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-2-7b","normalizer":"Sequence[Prepend,Replace]"},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"llama-3-8b","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":9,"model":"mistral-7b-v0.2","normalizer":null},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"xlm-roberta-base","normalizer":"Precompiled"},{"carriers_probed":9,"carriers_reaching_token_stream":8,"model":"t5-small","normalizer":"Precompiled"}]}
diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json
index 9fe2a66c..a0f464db 100644
--- a/specs/fuckmark-global-seed-ledger-v1.json
+++ b/specs/fuckmark-global-seed-ledger-v1.json
@@ -1 +1 @@
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Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"control mix sanitizer exploratory","notes":"Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"control_mix_exploratory_development","scored":true,"seed_base":1100000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation primary","notes":"Reserved before generation. Gate v2 confirmation primary n=64. Detector-after-sanitizer protocol including lm-watermarking UnicodeSanitizer and carrier-free control. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1200000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation replication","notes":"Reserved before generation. Gate v2 confirmation replication n=64. Independent of 1200000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1210000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":true,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"gate v2 confirmation holdout","notes":"Reserved before generation. Gate v2 confirmation holdout n=64. Independent of 1200000 and 1210000. Do not inspect 830000/840000/850000. Do not generate 950000. Do not retune after looking at detector scores.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":false,"seed_base":1220000,"spent":false},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer. Seed 1100000 is reserved for independent control-mix sanitizer exploratory. Seeds 1200000, 1210000, and 1220000 are reserved for Gate v2 confirmation before generation. Do not reuse 830000, 840000, or 850000. Do not generate 950000."}
+{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"cycle8_control_mix_exploratory_seed_base":1100000,"cycle8_control_mix_exploratory_topic":"control mix sanitizer exploratory","cycle8_deepmind_transfer_holdout_seed_base":1080000,"cycle8_deepmind_transfer_holdout_topic":"deepmind mix transfer holdout","cycle8_deepmind_transfer_primary_seed_base":1060000,"cycle8_deepmind_transfer_primary_topic":"deepmind mix transfer primary","cycle8_deepmind_transfer_replication_seed_base":1070000,"cycle8_deepmind_transfer_replication_topic":"deepmind mix transfer replication","cycle8_density_exploratory_seed_base":960000,"cycle8_density_exploratory_topic":"carrier density follow-up","cycle8_gate_v2_confirmation_holdout_seed_base":1220000,"cycle8_gate_v2_confirmation_holdout_topic":"gate v2 confirmation holdout","cycle8_gate_v2_confirmation_primary_seed_base":1200000,"cycle8_gate_v2_confirmation_primary_topic":"gate v2 confirmation 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replication","cycle8_mix_primary_seed_base":1020000,"cycle8_mix_primary_topic":"letter mix margin development","cycle8_mix_replication_seed_base":1030000,"cycle8_mix_replication_topic":"letter mix margin replication","cycle8_mix_scale_primary_seed_base":1040000,"cycle8_mix_scale_primary_topic":"letter mix scale development","cycle8_mix_scale_replication_seed_base":1050000,"cycle8_mix_scale_replication_topic":"letter mix scale replication","cycle8_scale_exploratory_seed_base":930000,"cycle8_scale_exploratory_topic":"carrier scaling","cycle8_scale_replication_seed_base":940000,"cycle8_scale_replication_topic":"independent scale replication","cycle8_scale_validation_seed_base":950000,"cycle8_scale_validation_topic":"clean scale validation","cycle8_second_model_transfer_seed_base":1090000,"cycle8_second_model_transfer_topic":"second model mix transfer","ledger_hash":"f86672b58549d2e6f256f659594289b431f3eff08a1e608560f7c5d83afc82db","publicly_exposed_unseen_invalid_seed_bases":[880000],"rows":[{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic schedule","notes":"Historic TinyDev schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":61000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev canonical attack base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":401000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic tiny-dev","notes":"Historic TinyDev base.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":402000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"tiny-dev-v3","notes":"Budget-scaled coverage tiny-dev-v3 base.","publicly_exposed":true,"role":"attack_development","scored":true,"seed_base":410000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-effectiveness seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":420000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":430000,"spent":true},{"cycle":"tiny_dev","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"coverage","notes":"Coverage-completion seed.","publicly_exposed":true,"role":"historic","scored":true,"seed_base":440000,"spent":true},{"cycle":"calibration","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"historic calibration","notes":"Historic calibration base.","publicly_exposed":true,"role":"threshold_calibration","scored":true,"seed_base":500000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":530000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":540000,"spent":true},{"cycle":"cycle4","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle4","generated":true,"generation_topic":"exact survival","notes":"Cycle 4 confirmation corpus. Spent.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":550000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development 0/16. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":720000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 development","notes":"Cycle 6 development. Spent.","publicly_exposed":true,"role":"development","scored":true,"seed_base":730000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":760000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":770000,"spent":true},{"cycle":"cycle6","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle6","generated":true,"generation_topic":"cycle6 formal","notes":"Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals.","publicly_exposed":true,"role":"confirmation","scored":true,"seed_base":780000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"reproducibility","notes":"Cycle 7 Stage A. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":810000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"held-out evaluation","notes":"Cycle 7 Stage B3 validation. Spent. Do not retune.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":820000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation primary","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51960. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":830000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation replication","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.52430. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":840000,"spent":true},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"mix formal confirmation holdout","notes":"cycle8-mix-freeze-v1 one-shot confirmation n=64: mix 0/64 raw WM, mix UW 0/64, visible 128/128, mix max 0.51695. Combined 0/192. Spent. Do not retune on residuals. Do not rerun looking for zero.","publicly_exposed":true,"role":"confirmation_reserved","scored":true,"seed_base":850000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent replication","notes":"Cycle 7 Stage B1. Do not keep expanding rules against it.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":860000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"measurement protocol","notes":"Cycle 7 Stage C1. Spent for new rule construction.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":870000,"spent":true},{"cycle":"cycle7","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle7-seed-ledger-v3","generated":true,"generation_topic":"independent check","notes":"PUBLICLY_EXPOSED by closed unmerged PR #98 Stage D validation artifacts. No longer eligible as unseen validation. Do not inspect residual rows for product tuning. Do not copy Stage D newline edits onto the product path.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":880000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 tiny n=4 on main. Identifier was also used on unmerged PR #98 Cycle 7 Stage D. Do not treat as unseen validation.","publicly_exposed":true,"role":"exploratory_development","scored":true,"seed_base":890000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier replication","notes":"Cycle 8 tiny n=4 replication. Spent as unseen validation.","publicly_exposed":true,"role":"exploratory_replication","scored":true,"seed_base":900000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier validation","notes":"Cycle 8 tiny n=4 validation. Spent. Do not reuse as future clean validation.","publicly_exposed":true,"role":"validation_development","scored":true,"seed_base":910000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"cycle8-seed-ledger-v1","generated":true,"generation_topic":"invisible carrier development","notes":"Cycle 8 secondary exploratory. DeepMind synthid-text 30-key GPT-2 mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass. Not confirmation. Not a second model.","publicly_exposed":false,"role":"exploratory_development","scored":true,"seed_base":920000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier scaling","notes":"Reserved before generation. U+034F space x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Do not rewrite space 1/64 as zero. Not confirmation.","publicly_exposed":false,"role":"scale_exploratory_development","scored":true,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent U+034F space x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Letter-x1 diagnostic rescore of this seen corpus is 0/64. Does not erase space-x1 930000 1/64. Not confirmation.","publicly_exposed":false,"role":"scale_replication","scored":true,"seed_base":940000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":true,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"clean scale validation","notes":"Reserved before generation. Clean unseen validation after mechanism freeze. Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"carrier density follow-up","notes":"Reserved before generation. Detector-blind U+034F space plus word-final letter n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row. Density did not beat space-x1. Letter-x1 diagnostic rescore of this seen corpus is 0/16. Do not rewrite space 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation.","publicly_exposed":false,"role":"density_exploratory_development","scored":true,"seed_base":960000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"intra-word carrier follow-up","notes":"Reserved before generation. Independent U+034F letter-x1: n=16 0/16 then n=64 0/64 raw transformed WM, 0 UW, visible 128/128. Experimental letter-x1 0/192 = seen diagnostic 930000 n=64 0/64 plus 940000 n=64 0/64 plus independent 970000 n=64 0/64 (128/192 seen, 64/192 independent). Do not rewrite space-x1 1/64 or 1/16 as zero. Do not generate 950000. Not confirmation.","publicly_exposed":false,"role":"letter_exploratory_development","scored":true,"seed_base":970000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier system benchmark","notes":"Reserved before generation. Letter-x1 system benchmark primary n=64: letter-x1 0/64 raw WM, space-x1 0/64, identity 62/64, visible 128/128. Letter max score 0.55407 vs threshold 0.55710. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_primary","scored":true,"seed_base":980000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter carrier benchmark replication","notes":"Reserved before generation. Letter-x1 system benchmark independent replication n=64: letter-x1 0/64 raw WM, space-x1 1/64, identity 64/64, visible 128/128. Letter max score 0.52727. Combined with 980000: letter 0/128, space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"letter_benchmark_replication","scored":true,"seed_base":990000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness development","notes":"Reserved before generation. Letter-space n=64: letter-x1 0/64, letter-space 0/64, identity 63/64, visible 128/128. Letter-space max 0.52477. Not confirmation. Spent as unseen for letter-space. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_primary","scored":true,"seed_base":1000000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"margin robustness replication","notes":"Reserved before generation. Independent letter-space n=64: letter-x1 1/64, letter-space 1/64 on the same residual row, identity 64/64, UW letter-space 0/64. Combined letter-space 1/128. Residual text not inspected. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"margin_robustness_replication","scored":true,"seed_base":1010000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin development","notes":"Reserved before generation. U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, visible 128/128. Mix max 0.51369 versus threshold 0.55710 (gap 0.04341). Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_primary","scored":true,"seed_base":1020000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix margin replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 64/64, mix UW 0/64. Mix max 0.51307. Combined with 1020000: mix 0/128, worst max 0.51369, gap 0.04341. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_margin_replication","scored":true,"seed_base":1030000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 62/64, visible 128/128. Mix max 0.51952 versus threshold 0.55710 (gap 0.03758). Closest row had 31 insertions. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_primary","scored":true,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Independent U+034F/U+FE00 letter-alt n=64: mix 0/64 raw WM, letter-x1 0/64, identity 60/64, mix UW 0/64. Mix max 0.51051. Combined with 1020000+1030000+1040000: mix 0/256, worst max 0.51952, gap 0.03758. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"mix_scale_replication","scored":true,"seed_base":1050000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer primary","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.505630. Combined with 1070000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_primary","scored":true,"seed_base":1060000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer replication","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.502999. Combined with 1060000+1080000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_replication","scored":true,"seed_base":1070000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"deepmind mix transfer holdout","notes":"Reserved before generation. Independent DeepMind synthid-text 30-key GPT-2 mix transfer n=64: identity WM 63/64, mix WM 0/64, mix UW 0/64, visible pass, mix max 0.506760. Combined with 1060000+1070000: mix 0/192. Not mix-freeze confirmation. Do not generate 950000.","publicly_exposed":false,"role":"deepmind_transfer_holdout","scored":true,"seed_base":1080000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"second model mix transfer","notes":"Reserved before generation. Independent DistilGPT2 DeepMind 30-key mix transfer n=16 HYPOTHESIS: identity WM 16/16, mix WM 0/16, mix UW 0/16, visible pass, mix max 0.504800. Different weights from openai-community/gpt2, same GPT-2 BPE tokenizer (vocab 50257). Not mix-freeze confirmation. Not confirmation-scale. Do not generate 950000.","publicly_exposed":false,"role":"second_model_transfer","scored":true,"seed_base":1090000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"control mix sanitizer exploratory","notes":"Reserved before generation. Independent DeepMind 30-key GPT-2 control-mix exploratory n=16: identity WM 15/16, control-mix WM 0/16, UW 0/16, visible pass, required sanitizers keep, control-mix max 0.505851. Seen diagnostic on 920000 is not this corpus. Not confirmation. Do not generate 950000.","publicly_exposed":false,"role":"control_mix_exploratory_development","scored":true,"seed_base":1100000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"gate v2 confirmation primary","notes":"Generated once under cycle8-publishability-gate-v2. n=64: identity WM 64/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 61/64, visible mix WM 64/64, mix max 0.519124. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":true,"seed_base":1200000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"gate v2 confirmation replication","notes":"Generated once under cycle8-publishability-gate-v2. n=64: identity WM 61/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 60/64, visible mix WM 64/64, mix max 0.526739. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":true,"seed_base":1210000,"spent":true},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":true,"generation_topic":"gate v2 confirmation holdout","notes":"Generated once under cycle8-publishability-gate-v2. n=64: identity WM 63/64, mix required sanitizers 0/64, mix UW 0/64, UnicodeSanitizer mix 0/64, carrier-free Unicode 61/64, visible mix WM 64/64, mix max 0.516419. Combined 0/192. Spent. Do not retune. Do not rerun looking for zero. Do not generate 950000.","publicly_exposed":false,"role":"gate_v2_confirmation","scored":true,"seed_base":1220000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1120000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1130000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1140000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1150000,"spent":true},{"cycle":"effectiveness","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"historic","generated":true,"generation_topic":"effectiveness profile","notes":"Frozen effectiveness-profile schedule base.","publicly_exposed":true,"role":"schedule","scored":true,"seed_base":1160000,"spent":true}],"selection_rule":"Every new development, validation, or confirmation seed must be reserved in this ledger before generation. Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1 and are spent. Do not rerun looking for zero. Do not generate 950000. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up. Seeds 980000 and 990000 are reserved for the letter-x1 system benchmark. Seeds 1000000 and 1010000 are reserved for detector-blind letter-plus-space margin robustness follow-up. Seeds 1020000 and 1030000 are reserved for detector-blind U+034F/U+FE00 letter-mix margin follow-up. Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix scale follow-up. Seeds 1060000, 1070000, and 1080000 are reserved for independent DeepMind synthid-text 30-key mix transfer. Seed 1090000 is reserved for independent second-model mix transfer. Seed 1100000 is reserved for independent control-mix sanitizer exploratory. Seeds 1200000, 1210000, and 1220000 were generated once as Gate v2 confirmation and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible 192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking for zero. Do not reuse 830000, 840000, or 850000. Do not generate 950000."}
diff --git a/tests/test_cycle8_gate_v2.py b/tests/test_cycle8_gate_v2.py
index dc87a521..7f2715f5 100644
--- a/tests/test_cycle8_gate_v2.py
+++ b/tests/test_cycle8_gate_v2.py
@@ -5,25 +5,30 @@
 from fuckmark.cli import process_text
 from fuckmark.cycle8.control_carrier import required_sanitizers_keep
 from fuckmark.cycle8.gate_v2 import (
+    CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH,
+    CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH,
     CYCLE8_PUBLISHABILITY_GATE_V2_HASH,
     CYCLE8_PUBLISHABILITY_GATE_V2_PATH,
+    GATE_V2_CONFIRMATION_ARTIFACT_HASHES,
     GATE_V2_CONFIRMATION_SEED_BASES,
     GATE_V2_IDENTITY_WM_MIN,
     GATE_V2_REQUIRED_SANITIZER_IDS,
-    GATE_V2_STATUS_PREREGISTERED,
+    GATE_V2_STATUS_CONFIRMED,
     GATE_V2_UNICODE_SANITIZER_ID,
     assert_gate_v2_committed,
     assert_gate_v2_confirmation_generation_seed,
     build_gate_v2_confirmation_scorecard,
+    gate_v2_confirmation_artifact_dir,
     gate_v2_confirmation_artifacts_present,
     gate_v2_payload,
     load_gate_v2,
+    load_gate_v2_confirmation_scorecard,
     sanitize_gate_v2_variant,
 )
 from fuckmark.cycle8.ledger import assert_cycle8_development_seed
 from fuckmark.cycle8.publishability import measure_mix_fixtures
 from fuckmark.cycle8.threat_model_audit import lm_watermarking_unicode_sanitizer
-from fuckmark.hashing import sha256_json
+from fuckmark.hashing import sha256_file, sha256_json
 from fuckmark.product.visible_projection import product_approved_carriers_v1
 from fuckmark.seeds.ledger import (
     CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES,
@@ -37,20 +42,20 @@
 from fuckmark.transforms.registry import release_transform_registry
 
 
-def test_gate_v2_spec_is_committed_and_preregistered():
+def test_gate_v2_spec_is_committed_and_confirmed():
     assert Path(CYCLE8_PUBLISHABILITY_GATE_V2_PATH).is_file()
     assert_gate_v2_committed()
     disk = load_gate_v2()
     assert disk["gate_hash"] == CYCLE8_PUBLISHABILITY_GATE_V2_HASH
     assert disk == gate_v2_payload()
-    assert disk["status"] == GATE_V2_STATUS_PREREGISTERED
-    assert disk["evidence_label"] == "HYPOTHESIS"
-    assert disk["confirmation_grade"] is False
-    assert disk["fully_satisfied"] is False
+    assert disk["status"] == GATE_V2_STATUS_CONFIRMED
+    assert disk["evidence_label"] == "VERIFIED"
+    assert disk["confirmation_grade"] is True
+    assert disk["fully_satisfied"] is True
     assert disk["product_authorized"] is False
     assert disk["mix_sanitizer_gate_v1"] == "FAIL"
     assert disk["required_sanitizer_bundle_not_weakened"] is True
-    assert gate_v2_confirmation_artifacts_present() is False
+    assert gate_v2_confirmation_artifacts_present() is True
 
 
 def test_gate_v2_does_not_authorize_the_product():
@@ -67,7 +72,7 @@ def test_gate_v2_does_not_weaken_the_required_bundle():
     assert measured["mn_strip_kills"] == measured["stress_total"]
 
 
-def test_gate_v2_seeds_are_reserved_unspent_and_unseen():
+def test_gate_v2_seeds_are_spent_after_one_shot_confirmation():
     assert GATE_V2_CONFIRMATION_SEED_BASES == (
         CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_SEED_BASE,
         CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_SEED_BASE,
@@ -75,13 +80,15 @@ def test_gate_v2_seeds_are_reserved_unspent_and_unseen():
     )
     for seed_base in GATE_V2_CONFIRMATION_SEED_BASES:
         row = row_for_seed_base(seed_base)
-        assert row["generated"] is False
-        assert row["scored"] is False
-        assert row["spent"] is False
-        assert row["eligible_for_confirmation"] is True
-        assert row["eligible_as_unseen_validation"] is True
-        assert_gate_v2_confirmation_generation_seed(seed_base)
-        assert_new_cycle8_gate_v2_confirmation_generation_seed(seed_base)
+        assert row["generated"] is True
+        assert row["scored"] is True
+        assert row["spent"] is True
+        assert row["eligible_for_confirmation"] is False
+        assert row["eligible_as_unseen_validation"] is False
+        with pytest.raises(ValueError, match="already generated"):
+            assert_gate_v2_confirmation_generation_seed(seed_base)
+        with pytest.raises(ValueError, match="already generated"):
+            assert_new_cycle8_gate_v2_confirmation_generation_seed(seed_base)
         with pytest.raises(ValueError, match="Gate v2 confirmation"):
             assert_cycle8_development_seed(seed_base, role="exploratory_development")
     assert set(GATE_V2_CONFIRMATION_SEED_BASES).isdisjoint(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES)
@@ -104,9 +111,49 @@ def test_gate_v2_form_is_detector_after_sanitizer():
     assert payload["classifications"]["default_ignorable_removal"] == "stress_only_not_frozen"
     assert payload["classifications"]["required_bundle"] == "known_destructive_countermeasure"
     assert payload["confirmation_protocol"]["thresholds"]["identity_watermarked_detected_min"] == GATE_V2_IDENTITY_WM_MIN
+    assert payload["confirmation_protocol"]["status"] == "generated_and_scored_once"
     assert list(GATE_V2_REQUIRED_SANITIZER_IDS) == payload["required_sanitizers"]
 
 
+def test_gate_v2_confirmation_scorecard_passes_preregistered_thresholds():
+    assert Path(CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH).is_file()
+    disk = load_gate_v2_confirmation_scorecard()
+    live = build_gate_v2_confirmation_scorecard()
+    assert disk == live
+    assert disk["scorecard_hash"] == CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH
+    assert disk["confirmation"] is True
+    assert disk["confirmation_grade"] is True
+    assert disk["product_authorized"] is False
+    assert disk["evidence_label"] == "VERIFIED"
+    assert disk["identity_watermarked_detected"] == 188
+    assert disk["mix_unwatermarked_detected"] == 0
+    assert disk["visible_pass_rate"] == "192/192"
+    assert disk["carrier_free_unicode_watermarked_detected"] == 182
+    assert disk["carrier_free_unicode_drop_from_identity"] == 6
+    assert all(value == 0 for value in disk["mix_watermarked_detected_by_required_sanitizer"].values())
+    assert disk["mix_watermarked_detected_by_diagnostic_sanitizer"]["required_bundle"] == 188
+    assert disk["rerun_looking_for_zero"] is False
+    assert disk["mix_max_score"] == 0.5267390214198725
+    for row in disk["corpora"]:
+        assert row["artifact_hash"] == GATE_V2_CONFIRMATION_ARTIFACT_HASHES[row["seed_base"]]
+
+
+def _assert_sha256sums(relative: str) -> None:
+    root = Path(relative)
+    sums = (root / "SHA256SUMS.txt").read_text(encoding="utf-8")
+    for line in sums.splitlines():
+        digest, name = line.split()
+        assert sha256_file(root / name) == digest
+
+
+def test_gate_v2_confirmation_artifact_checksums_match():
+    for seed_base in GATE_V2_CONFIRMATION_SEED_BASES:
+        _assert_sha256sums(gate_v2_confirmation_artifact_dir(seed_base))
+    combined = Path("evidence/cycle8-gate-v2-confirmation-2026-08-27")
+    _assert_sha256sums(str(combined))
+    assert (combined / "scorecard.json").read_text(encoding="utf-8") == Path(CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH).read_text(encoding="utf-8")
+
+
 def test_gate_v2_unicode_sanitizer_matches_upstream_whitespaces_default():
     import re
 
@@ -154,13 +201,22 @@ def test_shaping_scan_tool_iterates_all_advertised_contexts():
     assert set(PRODUCT_SHAPING_CONTEXT_IDS) <= set(ids)
 
 
+def test_twelve_context_rescan_is_recorded_and_does_not_rewrite_ab():
+    disk = Path("evidence/h16-local/shaping-closure-12context.json").read_text(encoding="utf-8")
+    import json
+
+    payload = json.loads(disk)
+    assert payload["shaping_contexts_scanned_count"] == 12
+    assert payload["shaping_invisible_count"] == 396
+    assert payload["shaping_invisible_in_product_contexts_count"] == 396
+    assert payload["intersection_count"] == 0
+    assert payload["shaping_invisible_categories"] == {"Cf": 134, "Mn": 262}
+    assert payload["original_h16_scan_was_latin_ab_only"] is True
+    assert payload["shaping_invisible_per_context"]["latin"] == 396
+    assert payload["shaping_invisible_per_context"]["arabic"] == 390
+
+
 def test_gate_v2_hash_is_canonical():
     payload = gate_v2_payload()
     body = {key: value for key, value in payload.items() if key != "gate_hash"}
     assert payload["gate_hash"] == sha256_json(body)
-
-
-def test_gate_v2_scorecard_refuses_absent_artifacts():
-    assert gate_v2_confirmation_artifacts_present() is False
-    with pytest.raises(ValueError, match="not present"):
-        build_gate_v2_confirmation_scorecard()
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index 745e795d..92dc7715 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -57,6 +57,10 @@ def test_audit_does_not_authorize_a_product_mechanism():
     assert disk["closure"]["original_h16_scan_overclaimed_twelve_contexts"] is True
     assert disk["closure"]["shaping_contexts_scanned"] == 1
     assert disk["closure"]["shaping_contexts_advertised"] == 12
+    assert disk["closure"]["twelve_context_rescan_status"] == "recorded"
+    assert disk["closure"]["twelve_context_invisible_count"] == 396
+    assert disk["closure"]["twelve_context_intersection_count"] == 0
+    assert disk["proposed_gate_v2"]["formalization_status"] == "confirmed_not_product_authorized"
 
 
 def test_required_sanitizer_bundle_is_unchanged_by_this_cycle():
diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py
index 778c6d6f..fd4a9f50 100644
--- a/tests/test_global_seed_ledger.py
+++ b/tests/test_global_seed_ledger.py
@@ -245,16 +245,20 @@ def test_scale_seeds_are_reserved_before_generation() -> None:
         assert_new_cycle8_control_mix_generation_seed(830000)
     primary = row_for_seed_base(1200000)
     assert primary["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_PRIMARY_TOPIC == "gate v2 confirmation primary"
-    assert primary["generated"] is False
-    assert primary["scored"] is False
-    assert primary["eligible_for_confirmation"] is True
+    assert primary["generated"] is True
+    assert primary["scored"] is True
+    assert primary["spent"] is True
+    assert primary["eligible_for_confirmation"] is False
     replica = row_for_seed_base(1210000)
     assert replica["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_REPLICATION_TOPIC
     holdout = row_for_seed_base(1220000)
     assert holdout["generation_topic"] == CYCLE8_GATE_V2_CONFIRMATION_HOLD_TOPIC
-    assert_new_cycle8_gate_v2_confirmation_generation_seed(1200000)
-    assert_new_cycle8_gate_v2_confirmation_generation_seed(1210000)
-    assert_new_cycle8_gate_v2_confirmation_generation_seed(1220000)
+    with pytest.raises(ValueError, match="already generated"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(1200000)
+    with pytest.raises(ValueError, match="already generated"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(1210000)
+    with pytest.raises(ValueError, match="already generated"):
+        assert_new_cycle8_gate_v2_confirmation_generation_seed(1220000)
     with pytest.raises(ValueError, match="confirmation"):
         assert_new_cycle8_gate_v2_confirmation_generation_seed(830000)
     with pytest.raises(ValueError, match="frozen"):

From 24c53a4bf6fc56f7207ab5818d6103bddfc2ccf9 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 07:33:47 +0000
Subject: [PATCH 22/28] Authorize frozen letter-mix on the public CLI as 0.4.0.

Gate v2 confirmation 0/192 is already recorded. This step wires frozen
u034f-ufe00-letter-alt-v1 into process_text as release-cli-v5, fail-closed
outside the product domain. release_transform_registry stays empty. The v1
mix sanitizer gate stays FAIL. Historical freeze and confirmation hashes
are snapshotted. Do not retag v0.3.0. Do not generate 950000.

Co-authored-by: Byte271 
---
 .github/workflows/ci.yml                      |   9 +-
 CHANGELOG.md                                  |   9 +-
 README.md                                     | 172 +++++-------------
 docs/cli.md                                   |  31 +++-
 docs/cycle8/README.md                         |   8 +-
 docs/cycle8/carrier-research.md               |  10 +-
 docs/cycle8/gate-v2.md                        |  18 +-
 docs/cycle8/mix-freeze.md                     |   2 +-
 docs/cycle8/mix-publishability.md             |   8 +-
 docs/install.md                               |  30 +--
 docs/product-contract.md                      |  27 +--
 docs/release.md                               |  41 ++---
 docs/seeds.md                                 |   2 +-
 evidence/h16-local/README.md                  |   4 +-
 fuckmark/__init__.py                          |   2 +-
 fuckmark/cli.py                               |  39 ++--
 fuckmark/cycle8/gate_v2.py                    |  44 +++--
 fuckmark/cycle8/mix_confirmation.py           |   3 +-
 fuckmark/cycle8/mix_freeze.py                 |   5 +-
 fuckmark/cycle8/publishability.py             |  21 ++-
 fuckmark/product/authorization.py             | 129 +++++++++++++
 fuckmark/product/visible_projection.py        |   2 +-
 pyproject.toml                                |   2 +-
 ...kmark-cycle8-product-authorization-v1.json |   1 +
 ...uckmark-cycle8-publishability-gate-v2.json |   2 +-
 tests/test_cli.py                             |  90 ++++++---
 tests/test_cycle8_benchmark.py                |   5 +-
 tests/test_cycle8_control_carrier.py          |   8 +-
 tests/test_cycle8_control_mix.py              |   6 +-
 tests/test_cycle8_control_mix_diagnostic.py   |   2 +-
 tests/test_cycle8_control_mix_exploratory.py  |   2 +-
 tests/test_cycle8_deepmind_transfer.py        |   4 +-
 tests/test_cycle8_detector_transfer.py        |   2 +-
 tests/test_cycle8_fixture_compare.py          |   8 +-
 tests/test_cycle8_gate_v2.py                  |  17 +-
 tests/test_cycle8_letter.py                   |  11 +-
 tests/test_cycle8_letter_mix.py               |   4 +-
 tests/test_cycle8_mix_confirmation.py         |   5 +-
 tests/test_cycle8_mix_freeze.py               |   3 +-
 tests/test_cycle8_mix_publishability.py       |   7 +-
 tests/test_cycle8_post_sanitizer_class.py     |   5 +-
 tests/test_cycle8_post_sanitizer_extended.py  |   4 +-
 tests/test_cycle8_post_sanitizer_sequences.py |   4 +-
 tests/test_cycle8_second_model_transfer.py    |   2 +-
 tests/test_cycle8_threat_model_audit.py       |   2 +-
 tests/test_install_release_hardening.py       |   9 +-
 tests/test_product_authorization.py           |  53 ++++++
 tests/test_product_encodings.py               |   2 +-
 tests/test_product_search.py                  |   7 +-
 tests/test_product_visible_invariance.py      |   4 +-
 tests/test_project_identity.py                |   6 +-
 tests/test_synthid_smoke.py                   |  15 +-
 tools/install/unix.sh                         |   2 +-
 tools/install/windows.ps1                     |   2 +-
 tools/verify_release_install.py               |   6 +-
 uv.lock                                       |   2 +-
 56 files changed, 550 insertions(+), 370 deletions(-)
 create mode 100644 fuckmark/product/authorization.py
 create mode 100644 specs/cycle8/fuckmark-cycle8-product-authorization-v1.json
 create mode 100644 tests/test_product_authorization.py

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 0bb24c63..ea4447f2 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -49,16 +49,19 @@ jobs:
           SH
           chmod +x "$test_bin/wl-copy"
           export PATH="$test_bin:$PATH"
+          expected_long="$(printf 'I do not agree and I cannot stay.\n' | python -c "from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix; import sys; sys.stdout.write(apply_letter_alternating_mix(sys.stdin.read()))")"
+          expected_short="$(printf 'I do not agree.\n' | python -c "from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix; import sys; sys.stdout.write(apply_letter_alternating_mix(sys.stdin.read()))")"
           for command in FuckMark Fuckmark fuckmark; do
             command -v "$command"
             capture="$RUNNER_TEMP/${command}.clipboard"
             export FUCKMARK_CLIPBOARD_CAPTURE="$capture"
             output="$(printf 'I do not agree and I cannot stay.\n' | "$command" --stdin --copy)"
             printf '%s\n' "$output"
-            test "$output" = "I do not agree and I cannot stay."
-            test "$(cat "$capture")" = "I do not agree and I cannot stay."
+            test "$output" = "$expected_long"
+            test "$(cat "$capture")" = "$expected_long"
           done
-          test "$(printf 'I do not agree.\n' | FuckMark)" = "I do not agree."
+          test "$(printf 'I do not agree.\n' | FuckMark)" = "$expected_short"
+          test "$(printf 'I do not agree.\n' | FuckMark --stdin --visible)" = "I do not agree."
 
   calibration-readiness:
     name: Frozen calibration readiness
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 29c6d4f8..085ed1e0 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,11 +1,14 @@
 # Changelog
 
-## Unreleased
+## v0.4.0 — Gate v2 product authorization
 
-- Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Status `confirmed_not_product_authorized`. Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. The v1 mix sanitizer gate stays FAIL. Public CLI stays empty. Do not generate `950000`. Do not retag `v0.3.0`.
+- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection.
+- Advanced the project version to 0.4.0. Do not retag `v0.3.0`. The historical identity CLI remains at that tag.
+- Recorded product authorization spec `cycle8-product-authorization-v1`. Gate v2 status is `confirmed_and_product_authorized`. The Cycle 8 v1 mix publishability report stays `product_publishable: false` with sanitizer FAIL. Mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots. The v1 visible-invariance contract is not rewritten.
+- Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
 - Formalized Cycle 8 publishability Gate v2 as `cycle8-publishability-gate-v2`. The product form is detector-after-sanitizer, not carrier fixed-point survival of every sanitizer. Mn-strip and default-ignorable-strip stay recorded as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`.
 - Recorded that the original H16 shaping scan executed one latin `A`/`B` context, not the advertised 12. The 286719 / 396 / intersection 0 figures remain VERIFIED for that A/B oracle. The scan tool now iterates all 12 advertised contexts. The corrected 12-context rescan is recorded: union 396, intersection 0, product-context union 396. It does not overwrite the frozen A/B artifact.
-- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation, then generated them once. Do not reuse `830000` / `840000` / `850000`. Do not generate `950000`.
+- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation, then generated them once. Do not reuse `830000` / `840000` / `850000`.
 - Gate v2 required sanitizers include frozen Cycle 7 `ws_collapse_nfkc_cf_strip` and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain UNSUPPORTED.
 
 ## v0.3.0 — Visible invariance, install and release hardening
diff --git a/README.md b/README.md
index d08e1965..2ddf8211 100644
--- a/README.md
+++ b/README.md
@@ -9,185 +9,105 @@
 
 # FuckMark
 
-FuckMark is a deterministic, detector-blind research harness and CLI for disrupting statistical text watermarks.
+FuckMark is a UTF-8 CLI that inserts a frozen invisible Unicode payload into ordinary English ASCII text without changing what the user sees.
 
-**Product contract (Priority Zero):** the user-visible text must not change. Product-safe transforms may modify only rigorously validated non-rendering Unicode representation while preserving exact visible projection. Semantic equivalence, "minor" punctuation edits, and extra visible spaces are not product success.
+**Product contract (Priority Zero):** `VISIBLE(original) == VISIBLE(transformed)`. The only allowed difference is insertion of the approved carriers U+034F and U+FE00. Semantic edits, contractions, homoglyphs, extra spaces, and renderer tricks are forbidden.
 
-The public CLI currently fail-closes: no product-authorized invisible carrier has been promoted yet, so `FuckMark` returns the original text unchanged rather than applying contractions or other visible edits. That is intentional. Historical visible-edit research remains replayable through explicitly named historical registries.
+The public CLI (`release-cli-v5`) applies frozen mechanism `u034f-ufe00-letter-alt-v1`: even selected ASCII-letter sites receive U+034F, odd sites receive U+FE00, outside hard machine spans, cap 192. `release_transform_registry()` stays empty. Mix is not a greedy contraction catalog.
 
-Cycle 8 U+034F space-carrier x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Tiny 4-pair corpora are 0/12 transformed WM. Scale exploratory seed `930000` is 0/16, 0/32, then **1/64** raw transformed WM. Independent replication seed `940000` is **0/64**. Combined large-N on those two 64-pair corpora is **1/128**. Density seed `960000` n=16 compared space x1 with space plus word-final letter x1: both **1/16** on the same residual row. Do not rewrite those space-x1 residuals as zero.
+This does **not** remove every AI watermark. It is not a claim against unknown, proprietary, or future detectors. Mn-strip and default-ignorable-strip still restore the source (`STRESS_ONLY` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`). The Cycle 8 v1 mix sanitizer gate stays **FAIL**. `required_sanitizers_keep` is not weakened.
 
-Cycle 8 U+034F letter-x1 (after ASCII letters, visible-word invariants, quote-interior carriers, detector-blind cap 192) is a stronger `PROMISING_DEVELOPMENT` / `HYPOTHESIS` on the same visible contract. Diagnostic rescore of seen corpora: `930000` n=64 **0/64**, `940000` n=64 **0/64**, `960000` n=16 **0/16**. Independent reserved seed `970000` is **0/16** then **0/64**. Experimental letter-x1 **0/192** = those two seen 64-pair diagnostics plus independent `970000` n=64 (**128/192 seen**, **64/192 independent**).
-
-A later system benchmark reserved seeds `980000` and `990000` before generation and scored letter-x1 versus space-x1 on two new independent 64-pair corpora: letter-x1 **0/128** raw transformed WM (max 0.554066, gap 0.003032 below threshold 0.557099) and space-x1 **1/128** on the same corpora. Visible projection passed on every scored letter row and on 21/21 local fixtures.
-
-Letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128**; do not rewrite that as zero.
-
-Letter-mix margin seeds `1020000` and `1030000` were reserved before generation. Detector-blind U+034F/U+FE00 letter-alt is fresh **0/128** raw transformed WM (max 0.513691, gap 0.043407) with mix UW **0/128**. Independent scale seeds `1040000` and `1050000` were reserved before generation; combined mix is **0/256** (worst max 0.519522, gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. Letter-x1 on those same corpora is also 0/256 (worst max 0.543903). Chromium mix fixtures were pixel-equal on the measured surfaces. The mix mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL (Mn-strip and default-ignorable-strip still restore mix; assigned-Unicode closed set found no Priority-Zero-safe survivor); cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. Mix is still not product-authorized. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. Publishability Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED`: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192**. Status `confirmed_not_product_authorized`. Public CLI stays identity. Those Gate v2 seeds are spent. See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/cycle8/mix-publishability.md`](docs/cycle8/mix-publishability.md), [`docs/cycle8/mix-freeze.md`](docs/cycle8/mix-freeze.md), [`docs/cycle8/mix-deepmind-transfer.md`](docs/cycle8/mix-deepmind-transfer.md), [`docs/cycle8/mix-second-model-transfer.md`](docs/cycle8/mix-second-model-transfer.md), [`docs/cycle8/letter-mix-margin.md`](docs/cycle8/letter-mix-margin.md), [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md), and [`docs/seeds.md`](docs/seeds.md).
-
-See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`.
-
-**Current release: v0.3.0**  
+**Current release: v0.4.0**  
 Website: [mark.q1z.org](https://mark.q1z.org)  
 License: MIT
 
-## What changed in v0.3.0
-
-v0.3.0 is the visible-invariance product release. The public CLI is `release-cli-v4` and returns input text unchanged. Official install uses a tagged GitHub Release wheel plus `SHA256SUMS.txt`. Release Engineering no longer auto-tags, auto-publishes, or deletes merged branches.
-
-The historical `v0.2.0` tag still applies contractions. Do not treat that tag as the current product contract.
-
-## What changed in v0.2.0
-
-v0.2.0 promotes the Cycle 4 research infrastructure and the first confirmatory improvement from exact post-retokenization observation scheduling.
-
-On the frozen open Hugging Face SynthID confirmation protocol, the Cycle-3 proxy scheduler left **8 of 192** transformed watermarked samples detected. The exact-survival scheduler left **5 of 192** detected under the same inherited threshold and corpus protocol. That changes the measured evasion rate from **95.83% to 97.40%** on this specific confirmation setup. Matched unwatermarked detections remained **2 of 192 in both arms**.
-
-All three independent 64-sample confirmation corpora moved in the same direction:
-
-| Confirmation seed | Cycle-3 proxy | Exact-survival |
-| --- | ---: | ---: |
-| 530000 | 3/64 detected | 2/64 detected |
-| 540000 | 3/64 detected | 2/64 detected |
-| 550000 | 2/64 detected | 1/64 detected |
-| **Aggregate** | **8/192** | **5/192** |
+## What was verified
 
-The preregistered aggregate outcome is `CONFIRMATORY_IMPROVEMENT`.
+Gate v2 (`cycle8-publishability-gate-v2`) is `VERIFIED` / `confirmed_and_product_authorized` on one-shot confirmation seeds `1200000` / `1210000` / `1220000` (spent):
 
-The expanded `content-region-destruction-v1` pool and pairwise-completion scheduler v2 reached 0/12 detected in the fresh development run, but that 12-source result is not a formal large-corpus confirmation. v0.2.0 therefore does **not** claim that v2 is proven stronger than exact-survival v1.
+| Check | Result |
+| --- | --- |
+| Identity / pristine watermarked | **188/192** (floor 168) |
+| Mix watermarked after every required sanitizer | **0/192** |
+| Mix unwatermarked raw | **0/192** |
+| Exact visible invariance | **192/192** |
+| `lm-watermarking` UnicodeSanitizer mix | **0/192** |
+| Carrier-free identity plus that sanitizer | **182/192** (drop 6; max drop 16) |
+| Worst mix max score | 0.526739 vs threshold 0.557099 |
 
-## Claim boundary
+Required sanitizers: raw, NFC, NFKC, Cf-strip, NFKC+Cf-strip, whitespace collapse, the Cycle 7 combination, and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain `UNSUPPORTED`.
 
-The 97.40% Cycle 4 result is narrow research evidence, not a universal watermark-removal guarantee, and it is not a product-contract success: those schedulers selected visible-edit candidates.
+Existing cross-detector transfer (not rescored here): Google synthid-text 30-key GPT-2 mix **0/192** on seeds `1060000` / `1070000` / `1080000`. DistilGPT2 n=16 remains `HYPOTHESIS`. Mean versus Weighted Mean on the same Hugging Face GPT-2 adapter remains `HYPOTHESIS`.
 
-It applies to the repository's frozen open GPT-2 / Hugging Face SynthID Weighted Mean confirmation configuration, fixed threshold, exact source protocol, and measured corpus. It does not establish proprietary-detector transfer, arbitrary-model transfer, unknown future watermark transfer, or perfect removal.
+Earlier mix-freeze confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM and is spent. Do not rerun looking for zero. Do not generate `950000`. Do not retag `v0.3.0`.
 
-The public CLI uses only `release_transform_registry()`, which is now the product-visible-invariance registry. That registry currently contains zero authorized carriers. Development schedulers, detector code, experimental search, historical contraction/lexical/syntax rules, Cycle 6 spacing, Cycle 7 durable visible edits, and the quarantined U+200C diagnostic registry are not automatically selected by the command-line product path.
+See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/product-contract.md`](docs/product-contract.md), and `specs/cycle8/fuckmark-cycle8-product-authorization-v1.json`.
 
 ## Install
 
-Python 3.11 or newer is required. Install a **tagged GitHub Release wheel** and check `SHA256SUMS.txt`. Do not pipe `https://d.q1z.org/mark` into a shell.
+Python 3.11 or newer is required. Install a **tagged GitHub Release wheel** and check `SHA256SUMS.txt` from that same release. Do not pipe `https://d.q1z.org/mark` into a shell.
 
 ```text
 python3 -m venv .venv
-.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.3.0/fuckmark-0.3.0-py3-none-any.whl
+.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.4.0/fuckmark-0.4.0-py3-none-any.whl
 ```
 
-v0.3.0 wheel SHA-256: `cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325`
-
-The installed CLI currently returns input text unchanged. See [`docs/install.md`](docs/install.md) for checksum verification, the in-repo installer, and Windows notes.
-
-## CLI
-
-The same entry point is installed as `FuckMark`, `Fuckmark`, and `fuckmark`.
-
-Interactive mode:
+Verify `SHA256SUMS.txt` from the same release before trusting the environment:
 
 ```text
-FuckMark
+https://github.com/byte271/FuckMark/releases/download/v0.4.0/SHA256SUMS.txt
 ```
 
-Paste text and finish with `:done` on its own line. The legacy `ok` terminator remains accepted.
-
-Stream mode:
+The historical v0.3.0 identity-CLI wheel SHA-256 remains `cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325`. That tag is not retagged.
 
-```sh
-printf 'I do not agree.\n' | FuckMark
-```
+See [`docs/install.md`](docs/install.md) for checksum verification, the in-repo installer, and Windows notes.
 
-The current product CLI prints the same visible text. It does not emit `I don't agree.`
+## CLI
 
-File mode:
+The same entry point is installed as `FuckMark`, `Fuckmark`, and `fuckmark`.
 
 ```text
+FuckMark
+printf 'I do not agree.\n' | FuckMark
 FuckMark input.txt --output output.txt
 FuckMark input.txt --copy
+FuckMark --stdin --visible < input.txt
 ```
 
-Useful options:
-
-- `--version` prints the project and release algorithm identities.
-- `--stdin` / `--non-interactive` forces stream mode.
-- `-o FILE` / `--output FILE` writes UTF-8 output atomically.
-- `--copy` also copies the transformed text to the platform clipboard.
-- `-q` / `--quiet` hides interactive status messages.
-- `--no-color` disables ANSI color.
-
-The CLI has no network path and no runtime model dependency. See [`docs/cli.md`](docs/cli.md) for the full contract.
-
-## Cycle 4 research
-
-Cycle 4 separates planning from scoring and keeps transform selection detector-blind and watermark-key-blind.
+Piped input writes the raw mix payload. `--visible` writes the user-visible projection (the original text when the transform succeeded). `--copy` copies whatever is written. The CLI does not emit contractions such as `I don't agree.`
 
-The main additions are:
+Outside ordinary English ASCII (tab / LF / CR / U+0020..U+007E), or when there are no eligible letter sites, or when approved carriers are already present, the CLI fail-closes and returns the input unchanged.
 
-- exact post-retokenization root-observation destruction scheduling;
-- deterministic replay and content-addressed plan identities;
-- a larger visible candidate pool for development experiments;
-- pairwise completion after single-candidate saturation in scheduler v2;
-- raw, NFKC, Cf-strip, and combined sanitizer robustness reporting;
-- explicit quarantine of U+200C as diagnostic-only evidence.
+Useful options: `--version`, `--stdin`, `-o FILE`, `--copy`, `--visible`, `--encoding utf-8` (latin-1 / ascii / cp1252 are rejected), `-q`, `--no-color`.
 
-The formal exact-survival confirmation freezes three independent corpora, validates cross-corpus disjointness, scores the paired plans under the inherited detector threshold, and aggregates only after the scoring artifacts are sealed.
+See [`docs/cli.md`](docs/cli.md).
 
-The U+200C mechanism is not promoted into release behavior. It can strongly perturb raw tokenization, but stripping Unicode format characters can restore the evaluated detector behavior. It remains useful as a diagnostic upper bound rather than a durable product mechanism.
+## Threat model
 
-## Cycle 6 development status
+- Output is ordinary Unicode plain text. No HTML, CSS, custom fonts, canvas, or hidden metadata.
+- Protected spans stay intact: fenced/inline code, markdown destinations, URLs, emails, IPs, dates, currency, percents, numbers, POSIX/Windows paths, CLI flags. Quote interiors are eligible. Math and citation spans are not hard.
+- Frozen product-contract sanitizers keep the mix. Mn-strip and default-ignorable-strip remove it and reconstruct the source. Those two are recorded stress tests, not required product sanitizers.
+- UTF-8 only. Latin-1 cannot roundtrip U+034F or U+FE00.
+- Raw codepoint search of the payload can miss ordinary English phrases. Product search uses the visible projection.
+- Clipboard is the Unicode string itself (macOS `pbcopy`, Windows `clip`, Linux `wl-copy` / `xclip` / `xsel` / `clip.exe`). Clipboard failure exits 2 after still writing the text.
 
-Cycle 6 reached **0 of 16 detected** on the frozen seed-720000 development corpus with the unchanged `0.5570987654320988` threshold and the raw, NFKC, Cf-strip, and combined sanitizer arms. Formal confirmation froze **NONZERO_RESIDUAL 7/192** transformed-WM detections (2/64 + 2/64 + 3/64) with 0/192 matched transformed-UW detections.
+## Historical research
 
-This is detector-endpoint scientific evidence, **PRODUCT_DISQUALIFIED**. The Cycle 6 workhorse inserted repeated ordinary ASCII U+0020 spaces, which are visible spacing changes. Do not treat 7/192, 0/16, or the older 96%+ Cycle 4 figure as proof that FuckMark currently meets the product goal.
+v0.3.0 was the identity CLI (`release-cli-v4`) after the visible-invariance correction. The historical `v0.2.0` tag still applies contractions. Cycle 4 exact-survival confirmation (`CONFIRMATORY_IMPROVEMENT`, 8/192 to 5/192) and Cycle 6 / Cycle 7 visible-edit work remain scientific records and are **PRODUCT_DISQUALIFIED** for the public CLI.
 
-## Cycle 7 status
-
-Cycle 7 Stage A/B/C researched collapse-resistant *visible* edits (contractions, hyphenation, punctuation, newlines). Those results remain historically valid as **INSUFFICIENT_EVIDENCE** and are **PRODUCT_DISQUALIFIED**. They must not enter `release_transform_registry()`.
-
-## Cycle 8 status
-
-Cycle 8 is the exact-visible-projection generation. See [`docs/cycle8/README.md`](docs/cycle8/README.md). U+200C remains a diagnostic baseline (stripped by Cf). Combining grapheme joiner U+034F letter-x1 remains a strong visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000` with a thin 0.003 gap, plus a separate experimental **0/192** (128 seen + 64 independent). The later U+034F/U+FE00 letter-mix arm is currently stronger on fresh independent corpora: **0/128** on seeds `1020000`+`1030000` with worst score 0.513691 (gap 0.043407), plus independent scale **0/256** including `1040000`+`1050000` with worst score 0.519522 (gap 0.037577). Mix is frozen as `cycle8-mix-freeze-v1` and is not a release mechanism. One-shot confirmation is **0/192**. Publishability still fail-closes: sanitizer weaknesses and cross-detector generalization remain FAIL. Public CLI remains empty.
+Cycle 8 chronology, seed ledger, H9-H16 carrier search, and mix-freeze evidence live under [`docs/cycle8/`](docs/cycle8/README.md) and [`docs/seeds.md`](docs/seeds.md). Frozen contracts under `specs/` are immutable.
 
 ## Reproduce the research environment
 
-Install the development package and pinned smoke dependencies:
-
 ```text
 python -m pip install -e ".[dev]"
 python -m pip install -r requirements-smoke.txt
-```
-
-Run the ordinary test suite:
-
-```text
 python -m pytest
 ```
 
-The repository's GitHub Actions additionally run package installation checks, frozen research gates, TinyDev/MidDev evidence workflows, the Cycle 4 exact-survival confirmation workflow, and the fidelity-gated Cycle 6 sealed-confirmation harness.
-
 ## Release engineering
 
-v0.3.0 builds one wheel and one source distribution and verifies both on Linux, macOS, and Windows before publication. The release workflow also runs `twine check`, verifies the installed console commands, generates SHA-256 checksums for the built artifacts, and refuses to publish unless an existing `v*` tag already matches the package version and commit.
-
-GitHub Release publication happens only from an immutable `v*` tag after the package matrix succeeds.
-
-See [`docs/release.md`](docs/release.md) for the release sequence.
-
-## Historical evidence
-
-Frozen contracts, evidence, and historical release-readiness artifacts under `specs/` are intentionally immutable. A new release does not rewrite earlier experiment contracts or reinterpret old measurements.
-
-The v0.1.0 release-readiness baseline remains at:
-
-`specs/fuckmark-v0.1.0-release-readiness-baseline.json`
-
-Cycle 4 confirmation contracts and research notes remain separately versioned under `specs/` so old results can be replayed without depending on the current README.
-
-## Project layout
-
-- `fuckmark/` — library, adapters, transforms, schedulers, evidence and experiment tooling.
-- `tests/` — regression, invariant, replay, packaging, detector, and workflow-support tests.
-- `specs/` — frozen research contracts and evidence records.
-- `docs/` — current CLI, installation, and release documentation.
-- `.github/workflows/` — CI, release engineering, and research evidence workflows.
+v0.4.0 builds one wheel and one source distribution and verifies both on Linux, macOS, and Windows before publication. GitHub Release publication happens only from an immutable `v*` tag after the package matrix succeeds. See [`docs/release.md`](docs/release.md).
 
 ## Links
 
diff --git a/docs/cli.md b/docs/cli.md
index f3d8e531..86492472 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -1,10 +1,10 @@
 # FuckMark CLI
 
-FuckMark v0.3.0 exposes the same command under `FuckMark`, `Fuckmark`, and `fuckmark`. The public CLI uses `release-cli-v4` and the product visible-invariance registry.
+FuckMark v0.4.0 exposes the same command under `FuckMark`, `Fuckmark`, and `fuckmark`. The public CLI uses `release-cli-v5` and applies frozen letter-mix `u034f-ufe00-letter-alt-v1`.
 
-The public CLI is intentionally smaller than the research harness. It does not load detector code, watermark keys, model weights, network services, Cycle 4/6/7 visible-edit schedulers, or quarantined U+200C diagnostics. It also does not apply contractions.
+The public CLI is intentionally smaller than the research harness. It does not load detector code, watermark keys, model weights, network services, Cycle 4/6/7 visible-edit schedulers, or quarantined U+200C diagnostics. It also does not apply contractions. `release_transform_registry()` stays empty; mix is not selected from a greedy rule catalog.
 
-**Priority Zero:** the CLI must not change user-visible text. Until a product-authorized invisible carrier exists, the CLI fail-closes and returns the input unchanged.
+**Priority Zero:** the CLI must not change user-visible text. The authorized transform only inserts U+034F and U+FE00 after eligible ASCII letters. `--visible` writes that projection.
 
 Install instructions for Windows, macOS, and Linux are in [`install.md`](install.md). The official website is [mark.q1z.org](https://mark.q1z.org). The product contract is [`product-contract.md`](product-contract.md).
 
@@ -18,7 +18,7 @@ FuckMark
 
 Paste the source text and finish with `:done` on its own line. The legacy `ok` terminator remains accepted.
 
-Interactive mode reports the exact project version, processes the text deterministically, prints the result, and reports whether any product-authorized invisible transform was applied. It does not copy to the clipboard unless `--copy` is passed. Color is emitted only when standard output is an interactive terminal. `--no-color` and the `NO_COLOR` environment variable disable ANSI output.
+Interactive mode reports the exact project version, processes the text deterministically, prints the raw mix payload, and reports how many product-authorized invisible insertions were applied. It does not copy to the clipboard unless `--copy` is passed. Color is emitted only when standard output is an interactive terminal. `--no-color` and the `NO_COLOR` environment variable disable ANSI output.
 
 ## Stream use
 
@@ -28,9 +28,9 @@ Piped input automatically selects stream mode:
 printf 'I do not agree.\n' | FuckMark
 ```
 
-Current product output is the same visible line, not `I don't agree.`
+Standard output is the raw mix payload, not `I don't agree.` Use `--visible` when you want the original visible line.
 
-Use `--stdin` or `--non-interactive` to request the same mode explicitly. Standard output contains only transformed text. Clipboard access is disabled unless `--copy` is provided.
+Use `--stdin` or `--non-interactive` to request the same mode explicitly. Clipboard access is disabled unless `--copy` is provided.
 
 ## File use
 
@@ -52,12 +52,23 @@ Without `--output`, file-mode output is written to standard output. `--output -`
 | `--version` | Print project, CLI, and release-registry identities. |
 | `--stdin`, `--non-interactive` | Read all standard input in explicit stream mode. |
 | `-o FILE`, `--output FILE` | Atomically write transformed UTF-8 text to a file. |
-| `--copy` | Also copy transformed text to the platform clipboard. |
-| `--visible` | Write the user-visible projection of the product-authorized payload. With zero approved carriers this is identity. |
+| `--copy` | Also copy the written text to the platform clipboard. |
+| `--visible` | Write the user-visible projection of the product-authorized payload. |
 | `--encoding NAME` | Output encoding. Only `utf-8` is supported. `latin-1`, `ascii`, and `cp1252` are rejected. |
 | `-q`, `--quiet` | Hide interactive processing and completion messages. |
 | `--no-color` | Disable ANSI terminal color. |
 
+## Fail-closed identity
+
+The CLI returns the original text unchanged when:
+
+- the input is outside ordinary English ASCII v1 (tab / LF / CR / U+0020..U+007E);
+- no eligible ASCII letter sites remain after hard machine spans;
+- the source already contains U+034F or U+FE00;
+- apply, carrier-insertion, or visible-projection checks fail.
+
+Hard machine spans: fenced/inline code, markdown destinations, URLs, emails, IPs, dates, currency, percents, numbers, POSIX/Windows paths, CLI flags. Quote interiors are eligible. Selected-site cap 192.
+
 ## Exit status
 
 | Status | Meaning |
@@ -74,6 +85,8 @@ Errors are written to standard error. Empty input is rejected. Clipboard command
 - Windows: `clip`
 - Linux: `wl-copy`, then `xclip`, then `xsel`, then `clip.exe`
 
+`--copy` copies the same bytes that are written (raw mix unless `--visible`).
+
 ## Release boundary
 
-The CLI uses only `release_transform_registry()`, which means the exact visible-projection product contract, not "semantically conservative English edits." Historical contraction, Cycle 6 spacing, Cycle 7 durable visible edits, detector scoring, experimental search, and the U+200C diagnostic registry remain outside automatic release behavior.
+Historical contraction, Cycle 6 spacing, Cycle 7 durable visible edits, detector scoring, experimental search, H12 control-mix, and the U+200C diagnostic registry remain outside automatic release behavior. The v1 mix sanitizer gate stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests.
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index e03eb196..138db104 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -17,16 +17,14 @@ Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode re
 
 ## Seed ledger
 
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` were generated once: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, carrier-free Unicode **182/192**. Those seeds are spent. Gate v2 is `confirmed_not_product_authorized`. Public CLI stays empty.
+See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` were generated once: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, carrier-free Unicode **182/192**. Those seeds are spent. Gate v2 is `confirmed_and_product_authorized`. Public CLI applies frozen letter-mix. The v1 mix sanitizer gate stays FAIL.
 
 ## Carrier research
 
 See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
 
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; the 12-context rescan is recorded (union 396, intersection 0) and does not rewrite the A/B artifact. Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED` / `confirmed_not_product_authorized`. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
+Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; the 12-context rescan is recorded (union 396, intersection 0) and does not rewrite the A/B artifact. Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED`. Live Gate v2 status is `confirmed_and_product_authorized`. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
 
 U+200C is the diagnostic baseline. It is not durable under Cf-strip.
 
-Early durable-track *hypothesis* (sanitizer and tokenizer screen, not a detector claim): U+034F COMBINING GRAPHEME JOINER and variation selectors U+FE00..U+FE0F. These are not product-authorized.
-
-Fixture compare `specs/cycle8/fixture-compare-v1.json` reports visible-projection pass `20/20` across identity, U+200C, U+034F x1, U+034F x8, and U+FE00 arms. Quote interiors remain protected spans. Seed `890000` exploratory detector scoring is development-only (`PROMISING_DEVELOPMENT`, not confirmation). U+034F is not product-authorized.
+Early durable-track *hypothesis* (sanitizer and tokenizer screen, not a detector claim): U+034F COMBINING GRAPHEME JOINER and variation selectors U+FE00..U+FE0F. The frozen mix of those two carriers is now product-authorized. U+034F letter-x1 alone is not.
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index 3b2229c5..d119739d 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -93,7 +93,7 @@ No measured class is simultaneously:
 
 Mix (Mn + default-ignorable) dies to Mn-strip and default-ignorable-strip. Enclosing marks survive those sanitizers and change Chromium pixels. Control-code insertion survives those sanitizers and is Chromium host-dependent, with ISO-6429 device controls remaining in the measured set. Homoglyphs, whitespace edits, HTML/CSS, and custom fonts stay forbidden.
 
-This does **not** rewrite mix sanitizer FAIL. It does not product-authorize any carrier. Public CLI stays empty.
+This does **not** rewrite mix sanitizer FAIL. H12 did not product-authorize any carrier. Live mix authorization is Gate v2.
 
 Spec: `cycle8-post-sanitizer-mechanism-class-v1`.
 
@@ -115,7 +115,7 @@ Live Unicode 15.0 scan:
 
 The only sanitizer-surviving pixel-equal probes on the research host were control codes. H12 already closed that class for product use.
 
-This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+This does **not** rewrite mix sanitizer FAIL. H13/H14/H15 did not authorize a carrier. Live mix authorization is Gate v2. Do not generate `950000`. Do not retune spent confirmation seeds.
 
 Spec: `cycle8-post-sanitizer-extended-class-v1`. Evidence: `evidence/h14-local/`.
 
@@ -136,7 +136,7 @@ Live sequence measurements:
 - Mix plus DEL is pixel-equal here; Mn-strip leaves DEL. That is the H12 remainder, not a new class.
 - DejaVu Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including composites. Discretionary `fi`/`fl` ligatures map to NFKC-fragile compatibility characters and are not applied in Chromium `pre`.
 
-This does **not** rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds.
+This does **not** rewrite mix sanitizer FAIL. H13/H14/H15 did not authorize a carrier. Live mix authorization is Gate v2. Do not generate `950000`. Do not retune spent confirmation seeds.
 
 Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
 
@@ -158,9 +158,9 @@ The other transformation classes close too. Substitution: 14 code points render
 
 **Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. That sanitizer collapses space runs and strips `Cc`, so it could have suppressed detection by itself; the carrier-free control rules that out, detecting 46/48. It costs one row of detection power on its own, so the drop to zero belongs to the carrier. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
 
-**Where the corrected gate stands.** Reading the existing mix-freeze confirmation evidence against the frozen sanitizers: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. The real-sanitizer condition is now confirmation-grade on seeds `1200000` / `1210000` / `1220000`: mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**, visible **192/192**. Gate v2 is `confirmed_not_product_authorized`. That is not product authorization.
+**Where the corrected gate stands.** Reading the existing mix-freeze confirmation evidence against the frozen sanitizers: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. The real-sanitizer condition is now confirmation-grade on seeds `1200000` / `1210000` / `1220000`: mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**, visible **192/192**. The H16 audit recorded Gate v2 as `confirmed_not_product_authorized`. Live Gate v2 is now `confirmed_and_product_authorized` after a separate engineering step. The audit file itself is not rewritten.
 
-`proposed_gate_v2` in the H16 audit spec remains `proposal_only_not_active` as a historical draft. Formal Gate v2 is `cycle8-publishability-gate-v2`, status `confirmed_not_product_authorized`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL, does not relax `required_sanitizers_keep`, and does not authorize a product mechanism. Public CLI stays empty. Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000` or `1200000` / `1210000` / `1220000`.
+`proposed_gate_v2` in the H16 audit spec remains `proposal_only_not_active` as a historical draft. Formal Gate v2 is `cycle8-publishability-gate-v2`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL and does not relax `required_sanitizers_keep`. Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000` or `1200000` / `1210000` / `1220000`.
 
 Spec: `cycle8-threat-model-audit-v1` and `cycle8-publishability-gate-v2`. Evidence: `evidence/h16-local/`. Protocol: `docs/cycle8/gate-v2.md`.
 
diff --git a/docs/cycle8/gate-v2.md b/docs/cycle8/gate-v2.md
index 962f8c38..5dec9ad8 100644
--- a/docs/cycle8/gate-v2.md
+++ b/docs/cycle8/gate-v2.md
@@ -1,8 +1,8 @@
 # Cycle 8 publishability Gate v2
 
-Status: `confirmed_not_product_authorized`. Evidence label: `VERIFIED`. Confirmation passed. Not product authorization. Public CLI remains empty.
+Status: `confirmed_and_product_authorized`. Evidence label: `VERIFIED`. Confirmation passed. Public CLI applies frozen `u034f-ufe00-letter-alt-v1` as `release-cli-v5`.
 
-Gate v2 is a versioned publishability definition. Confirmation does not enable the CLI.
+Gate v2 is a versioned publishability definition. Confirmation did not by itself enable the CLI. Product authorization is a separate engineering step recorded here and in `cycle8-product-authorization-v1`.
 
 ## Decision
 
@@ -66,10 +66,24 @@ Closest mix residual geometry only: `cycle8-1210000-52-general_explanatory-water
 
 Generic `classify_scale_detector_compare` still labels each corpus `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. That is the shared scale classifier, not the Gate v2 claim.
 
+## Product authorization
+
+After confirmation, the public CLI was authorized to apply the frozen mix. Status is now `confirmed_and_product_authorized`.
+
+- `process_text` equals `apply_letter_alternating_mix` on ordinary English ASCII
+- `product_approved_carriers_v1()` is `{U+034F, U+FE00}`
+- `release_transform_registry()` stays empty
+- CLI identity is `release-cli-v5`
+- v1 mix publishability sanitizer stays FAIL
+- mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots
+- the threat-model audit keeps `product_authorized: false` as an audit, not the authorization instrument
+
 Spec: `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json`.
 
 Scorecard: `specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json`.
 
+Authorization: `specs/cycle8/fuckmark-cycle8-product-authorization-v1.json`.
+
 Evidence: `evidence/cycle8-gate-v2-confirmation-2026-08-27/`.
 
 Runner: `python -m fuckmark.cycle8_gate_v2_confirmation_hf --seed-base 1200000` (refuses if the artifact already exists).
diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md
index e2193488..b175372c 100644
--- a/docs/cycle8/mix-freeze.md
+++ b/docs/cycle8/mix-freeze.md
@@ -4,7 +4,7 @@ Status: frozen development mechanism. One-shot confirmation **VERIFIED 0/192**.
 
 Freeze identity: `cycle8-mix-freeze-v1` (`specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json`). Freeze-time fields stay `confirmation: false` and `confirmation_generated: false`. The confirmation outcome is `cycle8-mix-confirmation-scorecard-v1`.
 
-The frozen mechanism is `u034f-ufe00-letter-alt-v1`. It is not in `release_transform_registry()`. `process_text("I do not agree.")` remains unchanged.
+The frozen mechanism is `u034f-ufe00-letter-alt-v1`. It is not in `release_transform_registry()`. Freeze-time `cli_identity` and `release_registry_empty` are snapshotted as true. Live product authorization is Gate v2 / `release-cli-v5`.
 
 ## Frozen contract
 
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
index 7b56fc49..24a5ebe9 100644
--- a/docs/cycle8/mix-publishability.md
+++ b/docs/cycle8/mix-publishability.md
@@ -1,8 +1,8 @@
 # Cycle 8 mix publishability gates
 
-Status: **not product-publishable**. Mix freeze confirmation remains `VERIFIED` **0/192**. The public CLI stays empty.
+Status: **not product-publishable on the v1 report**. Mix freeze confirmation remains `VERIFIED` **0/192**. Live product authorization is Gate v2, not a rewrite of this v1 report.
 
-Report identity: `cycle8-mix-publishability-v1` (`specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json`). This report does not rewrite `cycle8-mix-freeze-v1` or `cycle8-mix-confirmation-scorecard-v1`. Tag `v0.3.0` is not retagged.
+Report identity: `cycle8-mix-publishability-v1` (`specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json`). This report does not rewrite `cycle8-mix-freeze-v1` or `cycle8-mix-confirmation-scorecard-v1`. Tag `v0.3.0` is not retagged. Historical fields on this report snapshot identity CLI `release-cli-v4` and empty approved carriers. Live CLI is `release-cli-v5`.
 
 The five gates are the bar for calling mix a publishable FuckMark product. Passing a research confirmation is not enough.
 
@@ -16,7 +16,7 @@ The five gates are the bar for calling mix a publishable FuckMark product. Passi
 | Known sanitizer weaknesses | FAIL | yes |
 | Cross-detector generalization | PASS | yes |
 
-`product_publishable` is false. `product_authorized` is false. `product_approved_carriers_v1()` is empty. `process_text("I do not agree.")` is unchanged.
+`product_publishable` is false. `product_authorized` is false on this v1 report. Those fields are historical snapshots. Live `product_approved_carriers_v1()` is the frozen mix pair. `process_text("I do not agree.")` equals `apply_letter_alternating_mix`.
 
 ## Reproducibility
 
@@ -35,7 +35,7 @@ PASS on the product surface:
 - Product search is visible-projection search (`visible_contains`). After letter-mix, `do not` is found on the visible projection and missed by raw codepoint `in`.
 - Raw codepoint search is **not** the product search API. Many editors that search UTF-16 code units will miss intra-letter carriers. That is a payload limitation, not a claimed editor Ctrl+F guarantee.
 - Chromium `window.find` HIT for `do not` on mix text was measured on a host with Chrome. That measurement is host-dependent and is **not** hashed into this spec. CI without Chrome reports UNKNOWN.
-- Protected URL and email spans stay intact. Clipboard copies Unicode text. `--visible` writes the product-authorized visible projection (currently identity, because no carrier is authorized).
+- Protected URL and email spans stay intact. Clipboard copies Unicode text. `--visible` writes the product-authorized visible projection.
 
 ## Sanitizer weaknesses
 
diff --git a/docs/install.md b/docs/install.md
index 8fc76548..3c21b38e 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -1,20 +1,16 @@
 # Installation
 
-Python 3.11 or newer is required. The public CLI currently returns input text unchanged: v0.3.0 has no product-authorized invisible carrier.
+Python 3.11 or newer is required. The public CLI applies frozen letter-mix `u034f-ufe00-letter-alt-v1` (`release-cli-v5`).
 
 Install only a GitHub Release wheel and check `SHA256SUMS.txt` from that same release. Do not pipe `https://d.q1z.org/mark` into a shell. That endpoint still installs live `main` without a checksum.
 
 ## Tagged wheel (recommended)
 
-v0.3.0 wheel SHA-256:
-
-```text
-cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325  fuckmark-0.3.0-py3-none-any.whl
-```
+After tag `v0.4.0` is published, install:
 
 ```text
 python3 -m venv .venv
-.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.3.0/fuckmark-0.3.0-py3-none-any.whl
+.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.4.0/fuckmark-0.4.0-py3-none-any.whl
 ```
 
 On Windows, create the venv with `py -3.12 -m venv .venv` and use `.venv\Scripts\python.exe`.
@@ -22,12 +18,20 @@ On Windows, create the venv with `py -3.12 -m venv .venv` and use `.venv\Scripts
 Download `SHA256SUMS.txt` from the same release and confirm the installed wheel digest before trusting the environment:
 
 ```text
-https://github.com/byte271/FuckMark/releases/download/v0.3.0/SHA256SUMS.txt
+https://github.com/byte271/FuckMark/releases/download/v0.4.0/SHA256SUMS.txt
+```
+
+The historical v0.3.0 identity-CLI wheel SHA-256 is:
+
+```text
+cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325  fuckmark-0.3.0-py3-none-any.whl
 ```
 
+That tag is not retagged.
+
 ## In-repo installer (tagged wheel + checksum)
 
-These scripts download the GitHub Release wheel, verify `SHA256SUMS.txt`, install into a user virtualenv, and print `fuckmark --help`. They do not start the CLI, do not use sudo, and do not install Python. They default to `v0.3.0`.
+These scripts download the GitHub Release wheel, verify `SHA256SUMS.txt`, install into a user virtualenv, and print `fuckmark --help`. They do not start the CLI, do not use sudo, and do not install Python. They default to `v0.4.0`.
 
 Linux / macOS, from a clone:
 
@@ -41,7 +45,7 @@ Windows PowerShell, from a clone:
 powershell -ExecutionPolicy Bypass -File tools/install/windows.ps1
 ```
 
-Optional override: `FUCKMARK_RELEASE_TAG=v0.3.0`.
+Optional override: `FUCKMARK_RELEASE_TAG=v0.4.0`.
 
 ## Verify
 
@@ -49,13 +53,13 @@ Optional override: `FUCKMARK_RELEASE_TAG=v0.3.0`.
 fuckmark --version
 ```
 
-For v0.3.0 the command must begin with:
+For v0.4.0 the command must begin with:
 
 ```text
-FuckMark 0.3.0
+FuckMark 0.4.0
 ```
 
-It also reports `release-cli-v4`. Transforming text currently prints the same visible input.
+It also reports `release-cli-v5`. Transforming ordinary English ASCII inserts U+034F / U+FE00. `--visible` prints the original visible text.
 
 ## Install from a local clone
 
diff --git a/docs/product-contract.md b/docs/product-contract.md
index 8846f8b5..1a78d9a0 100644
--- a/docs/product-contract.md
+++ b/docs/product-contract.md
@@ -3,7 +3,7 @@
 Contract identity: `fuckmark-user-visible-invariance-v1`  
 Machine-readable file: `specs/fuckmark-user-visible-invariance-v1.contract.json`
 
-This contract is Priority Zero. Detector score cannot override it.
+This contract is Priority Zero. Detector score cannot override it. The v1 JSON is immutable. Live approved carriers are filled by product authorization without rewriting that file.
 
 ## Rule
 
@@ -36,28 +36,15 @@ These are not product success:
 
 ## Current product path
 
-`release_transform_registry()` is the product registry. It currently authorizes **zero** carriers.
+`release_transform_registry()` stays empty. The public CLI (`release-cli-v5`) applies frozen `apply_letter_alternating_mix` directly: U+034F on even selected ASCII-letter sites, U+FE00 on odd sites, cap 192, outside hard machine spans.
 
-The public CLI (`release-cli-v4`) therefore returns the original text unchanged. That fail-closed behavior is required until a carrier has:
+Live `product_approved_carriers_v1()` is `{U+034F, U+FE00}`. The v1 contract's empty `product_authorized_carriers_v1` list is a historical snapshot of that file.
 
-1. exact visible-projection pass;
-2. English-ASCII v1 domain evidence;
-3. sanitizer evidence (whitespace collapse, and preferably NFKC + Cf-strip);
-4. GPT-2 tokenizer disruption evidence;
-5. protected machine-span safety;
-6. later, replicated detector reduction.
+Authorization is recorded in `cycle8-publishability-gate-v2` (`confirmed_and_product_authorized`) and `cycle8-product-authorization-v1`. Confirmation does not by itself enable the CLI; the engineering step did.
 
-Cycle 8 mix freeze confirmation is not enough. A carrier is product-publishable only after these additional gates all PASS:
+The Cycle 8 v1 mix publishability report (`cycle8-mix-publishability-v1`) stays `product_publishable: false` because sanitizer weaknesses FAIL: Mn-strip and default-ignorable-strip remove the mix carriers. Gate v2 treats those two as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE` and does not weaken `required_sanitizers_keep`. See `docs/cycle8/mix-publishability.md` and `docs/cycle8/gate-v2.md`.
 
-1. reproducibility of frozen hashes and deterministic apply;
-2. cross-environment visibility invariance on Unicode-capable surfaces;
-3. real-world software compatibility on the product surface (UTF-8 only; visible-projection search; Latin-1/ASCII/cp1252 unsupported rather than pretended);
-4. known sanitizer weaknesses no longer kill the carriers, or an explicit product decision to accept those sanitizers as out of scope;
-5. cross-detector generalization beyond one open GPT-2 SynthID Weighted Mean detector.
-
-`cycle8-mix-publishability-v1` currently fail-closes. Software compatibility now PASSes on that product surface. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2. Sanitizer weaknesses still FAIL: Mn-strip and default-ignorable-strip remove the mix carriers, and the assigned-Unicode closed set found no Priority-Zero-safe survivor. See `docs/cycle8/mix-publishability.md`.
-
-U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping.
+U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping. H12 control-mix is not authorized.
 
 ## Historical research
 
@@ -76,4 +63,4 @@ Output is ordinary Unicode plain text. HTML overlays, custom fonts, canvas, clip
 
 ## Failure behavior
 
-If a candidate would change visible projection, if the input is outside ordinary English ASCII v1, if carrier safety is uncertain, or if a protected machine span would be broken, the product path leaves that region unchanged. It never falls back to a visible edit. Product carrier enumeration also skip-closes any insertion whose trial output would fail the frozen hard-invariant validator.
+If a candidate would change visible projection, if the input is outside ordinary English ASCII v1, if carrier safety is uncertain, or if a protected machine span would be broken, the product path leaves that region unchanged. It never falls back to a visible edit.
diff --git a/docs/release.md b/docs/release.md
index 2f16753b..0c8f7962 100644
--- a/docs/release.md
+++ b/docs/release.md
@@ -1,25 +1,24 @@
-# v0.3.0 Release Process
+# v0.4.0 Release Process
 
-FuckMark v0.3.0 is the visible-invariance product release. The public CLI algorithm identity is `release-cli-v4` and the release registry is the empty product-visible-invariance registry. The historical `v0.2.0` tag still exists and still applies contractions; do not treat that tag as the current product contract.
-
-The public CLI is restricted to product-authorized invisible transforms. None are authorized yet, so the CLI fail-closes to unchanged text. Cycle 4 exact-survival machinery remains in the research path.
+FuckMark v0.4.0 is the Gate v2 product-authorization release. The public CLI algorithm identity is `release-cli-v5`. It applies frozen `u034f-ufe00-letter-alt-v1` while keeping `release_transform_registry()` empty. The historical `v0.3.0` tag is the identity CLI (`release-cli-v4`). The historical `v0.2.0` tag still applies contractions. Do not retag `v0.3.0`.
 
 ## Release invariants
 
-1. `pyproject.toml`, `fuckmark.__version__`, `uv.lock`, installed CLI output, and the Git tag must agree on `0.3.0` / `v0.3.0`.
-2. The release registry is not broadened merely because a development experiment succeeds. Product authorization additionally requires exact visible-projection equality.
+1. `pyproject.toml`, `fuckmark.__version__`, `uv.lock`, installed CLI output, and the Git tag must agree on `0.4.0` / `v0.4.0`.
+2. The release registry is not broadened merely because a development experiment succeeds. Product authorization additionally requires exact visible-projection equality and the frozen mix apply path.
 3. U+200C remains diagnostic-only and is never promoted into automatic CLI behavior.
 4. Visible-edit historical catalogs (contractions, Cycle 6 spacing, Cycle 7 durable families) remain replayable and must not silently become release defaults.
-5. Frozen historical contracts and evidence under `specs/` remain byte-stable unless their own protocol explicitly defines a successor artifact.
+5. Frozen historical contracts and evidence under `specs/` remain byte-stable unless their own protocol explicitly defines a successor artifact. Mix-freeze, mix-confirmation, and v1 mix publishability stay historical snapshots (`product_authorized: false` on those records). Gate v2 is the live authorization instrument.
 6. The release must build and clean-install on Linux, macOS, and Windows.
 7. Every published GitHub Release must be backed by an immutable `v*` tag.
+8. The v1 mix sanitizer gate stays FAIL. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
 
 ## Required release sequence
 
-1. Merge this v0.3.0 branch to green `main`.
+1. Merge this v0.4.0 branch to green `main`.
 2. On the resulting `main` push, rerun the cross-platform package matrix. That push must **not** create tags, publish a GitHub Release, or delete branches.
-3. Create and push the immutable `v0.3.0` tag on that merge commit yourself. The workflow never runs `git tag`. Do not tag a pull-request SHA if `main` will be a squash merge.
-4. Publish with `workflow_dispatch` and `publish_github_release=true` on that same commit. The job refuses to run unless `v0.3.0` already exists and points at the dispatch SHA. If the GitHub Release is missing, it uploads the verified wheel and sdist. It does not delete merged branches.
+3. Create and push the immutable `v0.4.0` tag on that merge commit yourself. The workflow never runs `git tag`. Do not tag a pull-request SHA if `main` will be a squash merge.
+4. Publish with `workflow_dispatch` and `publish_github_release=true` on that same commit. The job refuses to run unless `v0.4.0` already exists and points at the dispatch SHA. If the GitHub Release is missing, it uploads the verified wheel and sdist. It does not delete merged branches.
 
 ## Publication workflow
 
@@ -29,28 +28,16 @@ The Linux job uploads the verified release distributions. Publication is **manua
 
 Direct tag pushes do not trigger the workflow. There is no hard-coded release tag and no commit-message release trigger.
 
-## v0.2.0 scientific result
-
-The preregistered Cycle 4 exact-survival confirmation reports `CONFIRMATORY_IMPROVEMENT` on the frozen open Hugging Face SynthID evaluation:
-
-- Cycle-3 proxy scheduling: 8/192 transformed watermarked samples remained detected.
-- Exact-survival scheduling: 5/192 remained detected.
-- Measured evasion rate: 95.83% -> 97.40%.
-- Matched unwatermarked detections: 2/192 -> 2/192.
-- Each of the three independent 64-source confirmation corpora improved by one residual detection.
+## Claim boundary
 
-This evidence supports the exact post-retokenization objective on the frozen open-detector setup. It does not prove perfect watermark removal, proprietary-detector transfer, arbitrary-model transfer, or the superiority of the development-only scheduler v2.
-
-The expanded pool plus scheduler v2 achieved 0/12 detected in its fresh development run, but that result has not yet received the same large-corpus confirmatory treatment and is documented as development evidence only.
+Gate v2 confirmation is GPT-2 / Hugging Face SynthID Weighted Mean plus the real UnicodeSanitizer, with existing DeepMind 30-key GPT-2 transfer. It is not a universal watermark-removal guarantee. Mn-strip and default-ignorable-strip still restore mix. DistilGPT2 n=16 and mean-versus-weighted-mean remain `HYPOTHESIS`.
 
 ## Historical boundary
 
-`specs/fuckmark-v0.1.0-release-readiness-baseline.json` remains an immutable historical artifact. v0.3.0 does not rewrite the old baseline's gate statuses or reinterpret the repository state it captured.
-
-Likewise, rejected experiments remain rejected records. The U+200C visible-projection mechanism stays quarantined because Unicode format-character stripping restores the evaluated detection behavior. Cycle 6 `NONZERO_RESIDUAL` 7/192 remains the frozen formal detector result and is product-disqualified because it used visible ASCII spaces.
+`specs/fuckmark-v0.1.0-release-readiness-baseline.json` remains an immutable historical artifact. v0.4.0 does not rewrite the old baseline's gate statuses or reinterpret the repository state it captured.
 
-The `v0.2.0` GitHub Release remains the historical contraction CLI. Current product behavior is v0.3.0 identity.
+The `v0.3.0` GitHub Release remains the historical identity CLI. The `v0.2.0` GitHub Release remains the historical contraction CLI. Current product behavior is v0.4.0 letter-mix.
 
 ## Distribution scope
 
-The GitHub Release is the authoritative v0.3.0 publication produced by this repository workflow. Publishing to another package index is a separate action and must not be implied unless that publication actually occurs and its credentials/workflow are configured.
+The GitHub Release is the authoritative v0.4.0 publication produced by this repository workflow. Publishing to another package index is a separate action and must not be implied unless that publication actually occurs and its credentials/workflow are configured.
diff --git a/docs/seeds.md b/docs/seeds.md
index 3f5f18fe..4844b26a 100644
--- a/docs/seeds.md
+++ b/docs/seeds.md
@@ -19,7 +19,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re
 - Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
 - Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
 - Seed `1100000` is reserved for independent H12 control-mix sanitizer exploratory n=16. Generated and scored: identity WM 15/16, control-mix WM 0/16. Do not treat the seen `920000` diagnostic as this corpus. Not confirmation.
-- Seeds `1200000`, `1210000`, and `1220000` were generated once as Gate v2 confirmation and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible 192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking for zero. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores.
+- Seeds `1200000`, `1210000`, and `1220000` were generated once as Gate v2 confirmation and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible 192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking for zero. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores. Live product authorization of the frozen mix is a later engineering step and does not reuse these seeds.
 
 ## Cycle 8 scale reservation (before generation)
 
diff --git a/evidence/h16-local/README.md b/evidence/h16-local/README.md
index a956339c..1daa8d8b 100644
--- a/evidence/h16-local/README.md
+++ b/evidence/h16-local/README.md
@@ -141,11 +141,11 @@ Reading the already-recorded frozen confirmation evidence against `proposed_gate
 
 The remaining condition, detection after the lm-watermarking `UnicodeSanitizer`, is met too: 0 of 48 on the exploratory lane, against 47 of 48 pristine. Confirmation-grade measurement of that same condition is now on record: seeds `1200000` / `1210000` / `1220000`, mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**. See `docs/cycle8/gate-v2.md`.
 
-So every frozen condition of `proposed_gate_v2` now has a measurement behind it. The H16 draft still records `proposed_gate_v2_fully_satisfied` as `false` because that draft's remaining-condition sentence was written against the exploratory lane. Formal Gate v2 is `cycle8-publishability-gate-v2`, status `confirmed_not_product_authorized`. It adds `ws_collapse_nfkc_cf_strip` versus the H16 draft.
+So every frozen condition of `proposed_gate_v2` now has a measurement behind it. The H16 draft still records `proposed_gate_v2_fully_satisfied` as `false` because that draft's remaining-condition sentence was written against the exploratory lane. Formal Gate v2 is `cycle8-publishability-gate-v2`. At audit time its status was `confirmed_not_product_authorized`. Live status is `confirmed_and_product_authorized`. It adds `ws_collapse_nfkc_cf_strip` versus the H16 draft.
 
 ## What this does not do
 
-This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`. Formal Gate v2 is `confirmed_not_product_authorized`. Public CLI stays empty.
+This record is an audit. It does not authorize a mechanism, does not relax `required_sanitizers_keep`, and does not rewrite the mix verdict. `proposed_gate_v2` in the spec is marked `proposal_only_not_active`. Live product authorization is recorded in Gate v2 and `cycle8-product-authorization-v1`, not in this audit file.
 
 Spec: `specs/cycle8/fuckmark-cycle8-threat-model-audit-v1.json`.
 
diff --git a/fuckmark/__init__.py b/fuckmark/__init__.py
index ba06becc..e82f808d 100644
--- a/fuckmark/__init__.py
+++ b/fuckmark/__init__.py
@@ -1,5 +1,5 @@
 __project_name__ = "FuckMark"
-__version__ = "0.3.0"
+__version__ = "0.4.0"
 
 from .adapters import (
     DEEPMIND_REFERENCE_ADAPTER_ID,
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index 8e98392c..536c04b2 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -12,18 +12,19 @@
 from typing import TextIO
 
 from . import __project_name__, __version__
+from .cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from .product.domain import is_supported_product_domain_v1
 from .product.encodings import require_supported_product_encoding
 from .product.visible_projection import (
     is_carrier_insertion_v1,
     product_approved_carriers_v1,
     project_visible_v1,
 )
-from .transforms import TRANSFORM_REGISTRY_ALGORITHM_VERSION, release_transform_registry
+from .transforms import TRANSFORM_REGISTRY_ALGORITHM_VERSION
 
 
 CLI_TERMINATORS = frozenset({":done", "ok"})
-CLI_SELECTION_SEED = 0
-RELEASE_CLI_ALGORITHM_VERSION = "release-cli-v4"
+RELEASE_CLI_ALGORITHM_VERSION = "release-cli-v5"
 _ANSI_BLUE = "\033[38;5;39m"
 _ANSI_GREEN = "\033[38;5;40m"
 _ANSI_YELLOW = "\033[38;5;214m"
@@ -48,24 +49,24 @@ def changed(self) -> bool:
 def transform_text(text: str) -> ProcessResult:
     if not isinstance(text, str):
         raise TypeError("text must be a string")
-    registry = release_transform_registry()
-    enumeration = registry.enumerate(text)
-    selected: list[str] = []
-    occupied_until = 0
-    for candidate in enumeration.candidates:
-        if candidate.start < occupied_until:
-            continue
-        selected.append(candidate.candidate_id)
-        occupied_until = candidate.end
-    if not selected:
-        return ProcessResult(text, 0)
     try:
-        result = registry.apply(enumeration, tuple(selected), seed=CLI_SELECTION_SEED)
-    except (KeyError, TypeError, ValueError):
-        return ProcessResult(text, 0)
-    if not is_carrier_insertion_v1(text, result.output_text, product_approved_carriers_v1()):
+        approved = product_approved_carriers_v1()
+        if approved != frozenset(LETTER_MIX_APPROVED_CARRIERS):
+            return ProcessResult(text, 0)
+        if not is_supported_product_domain_v1(text):
+            return ProcessResult(text, 0)
+        if any(ord(character) in approved for character in text):
+            return ProcessResult(text, 0)
+        applied = apply_letter_alternating_mix(text)
+        if applied == text:
+            return ProcessResult(text, 0)
+        if not is_carrier_insertion_v1(text, applied, approved):
+            return ProcessResult(text, 0)
+        if project_visible_v1(applied, approved) != text:
+            return ProcessResult(text, 0)
+        return ProcessResult(applied, len(applied) - len(text))
+    except (KeyError, TypeError, ValueError, RuntimeError):
         return ProcessResult(text, 0)
-    return ProcessResult(result.output_text, len(result.trace.operations))
 
 
 def process_text(text: str) -> str:
diff --git a/fuckmark/cycle8/gate_v2.py b/fuckmark/cycle8/gate_v2.py
index d4067952..fdffa2db 100644
--- a/fuckmark/cycle8/gate_v2.py
+++ b/fuckmark/cycle8/gate_v2.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 
 from .._validation import require_int
-from ..cli import process_text
+from ..cli import RELEASE_CLI_ALGORITHM_VERSION, process_text
 from ..config import canonical_json_text
 from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
 from ..hashing import sha256_json
@@ -24,19 +24,21 @@
 from ..transforms.registry import release_transform_registry
 from .compare import CYCLE8_IDENTITY_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID
 from .control_carrier import apply_required_sanitizer_bundle
+from .letter_mix import LETTER_MIX_APPROVED_CARRIERS
 from .sanitize import sanitize_cycle8_scale_variant
 from .threat_model_audit import lm_watermarking_unicode_sanitizer
 
 
 CYCLE8_PUBLISHABILITY_GATE_V2_VERSION = "cycle8-publishability-gate-v2"
 CYCLE8_PUBLISHABILITY_GATE_V2_PATH = "specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json"
-CYCLE8_PUBLISHABILITY_GATE_V2_HASH = "7be0e8af4e17e727159108dc9d7f40bb008eeecb488c06def8c9311eadddfda3"
+CYCLE8_PUBLISHABILITY_GATE_V2_HASH = "66da1101bc6621023a0bb2b98d40f37ada0384f19a750d4c8b0c48de1c2cae68"
 CYCLE8_GATE_V2_CONFIRMATION_DETECTOR_VERSION = "cycle8-gate-v2-confirmation-detector-compare-v1"
 CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_VERSION = "cycle8-gate-v2-confirmation-scorecard-v1"
 CYCLE8_GATE_V2_CONFIRMATION_PAIR_COUNT = 64
 CYCLE8_GATE_V2_CONFIRMATION_DATE = "2026-08-27"
 GATE_V2_STATUS_PREREGISTERED = "preregistered_not_active"
 GATE_V2_STATUS_CONFIRMED = "confirmed_not_product_authorized"
+GATE_V2_STATUS_AUTHORIZED = "confirmed_and_product_authorized"
 CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_PATH = "specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json"
 CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH = "3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9"
 GATE_V2_MIX_ARM_ID = CYCLE8_LETTER_ALT_ARM_ID
@@ -139,11 +141,11 @@ def gate_v2_payload() -> dict[str, object]:
     scorecard = build_gate_v2_confirmation_scorecard()
     payload = {
         "algorithm_version": CYCLE8_PUBLISHABILITY_GATE_V2_VERSION,
-        "status": GATE_V2_STATUS_CONFIRMED,
+        "status": GATE_V2_STATUS_AUTHORIZED,
         "evidence_label": "VERIFIED",
         "confirmation_grade": True,
         "fully_satisfied": True,
-        "product_authorized": False,
+        "product_authorized": True,
         "mix_sanitizer_gate_v1": "FAIL",
         "required_sanitizer_bundle_not_weakened": True,
         "release_registry_empty": release_transform_registry().rules == (),
@@ -210,7 +212,6 @@ def gate_v2_payload() -> dict[str, object]:
         "still_requires": [
             "exact_user_visible_text_preservation",
             "ordinary_plain_text",
-            "product_engineering_authorization",
         ],
         "confirmation_protocol": {
             "status": "generated_and_scored_once",
@@ -251,18 +252,17 @@ def gate_v2_payload() -> dict[str, object]:
             "artifacts_present": True,
         },
         "why_not_fully_satisfied": None,
-        "authorization_status": "not_authorized",
-        "authorization_blocked_on": (
-            "product engineering, fail-closed coverage, package E2E of the authorized "
-            "transform, and a new release; confirmation does not enable the CLI"
-        ),
+        "authorization_status": "authorized",
+        "authorization_blocked_on": None,
         "notes": (
             "Gate v2 confirmation passed on seeds 1200000/1210000/1220000. "
+            "Public CLI applies frozen u034f-ufe00-letter-alt-v1 as release-cli-v5. "
+            "release_transform_registry stays empty; mix is not a greedy rule catalog. "
             "Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on "
             "the Cycle 8 v1 publishability report stays FAIL. Mn-strip and "
-            "default-ignorable-strip remain recorded stress tests. Public CLI stays empty. "
+            "default-ignorable-strip remain recorded stress tests. "
             "Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000 "
-            "or 1200000/1210000/1220000."
+            "or 1200000/1210000/1220000. Do not retag v0.3.0."
         ),
     }
     return {**payload, "gate_hash": sha256_json(payload)}
@@ -294,10 +294,10 @@ def assert_gate_v2_committed() -> None:
         raise ValueError("Gate v2 spec hash is not frozen")
     if digest != CYCLE8_PUBLISHABILITY_GATE_V2_HASH:
         raise ValueError("Gate v2 spec hash is not the frozen digest")
-    if disk["product_authorized"] is True:
-        raise ValueError("Gate v2 confirmation must not by itself product-authorize a mechanism")
-    if disk["status"] != GATE_V2_STATUS_CONFIRMED:
-        raise ValueError("Gate v2 must be confirmed_not_product_authorized after confirmation artifacts exist")
+    if disk["product_authorized"] is not True:
+        raise ValueError("Gate v2 must product-authorize after confirmation and engineering")
+    if disk["status"] != GATE_V2_STATUS_AUTHORIZED:
+        raise ValueError("Gate v2 must be confirmed_and_product_authorized after product authorization")
     if disk["confirmation_grade"] is not True:
         raise ValueError("Gate v2 confirmation grade must be recorded")
     if disk["fully_satisfied"] is not True:
@@ -308,10 +308,16 @@ def assert_gate_v2_committed() -> None:
         raise ValueError("Gate v2 must not weaken the required sanitizer bundle")
     if disk["evidence_label"] != "VERIFIED":
         raise ValueError("Gate v2 confirmation must remain labelled VERIFIED")
+    if disk["authorization_status"] != "authorized":
+        raise ValueError("Gate v2 authorization_status must be authorized")
     if release_transform_registry().rules != ():
-        raise ValueError("release_transform_registry must stay empty until product authorization")
-    if product_approved_carriers_v1() != frozenset():
-        raise ValueError("product_approved_carriers_v1 must stay empty until product authorization")
+        raise ValueError("release_transform_registry must stay empty")
+    if product_approved_carriers_v1() != frozenset(LETTER_MIX_APPROVED_CARRIERS):
+        raise ValueError("product_approved_carriers_v1 must be the frozen mix carriers")
+    if process_text("I do not agree.") == "I do not agree.":
+        raise ValueError("authorized CLI must apply the frozen letter mix")
+    if RELEASE_CLI_ALGORITHM_VERSION != "release-cli-v5":
+        raise ValueError("authorized CLI must report release-cli-v5")
     scorecard = build_gate_v2_confirmation_scorecard()
     if scorecard["confirmation"] is not True:
         raise ValueError("Gate v2 confirmation scorecard must pass")
diff --git a/fuckmark/cycle8/mix_confirmation.py b/fuckmark/cycle8/mix_confirmation.py
index 78e1f869..0a022a60 100644
--- a/fuckmark/cycle8/mix_confirmation.py
+++ b/fuckmark/cycle8/mix_confirmation.py
@@ -5,7 +5,6 @@
 
 from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
 from ..hashing import sha256_json
-from ..transforms.registry import release_transform_registry
 from .compare import CYCLE8_IDENTITY_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_U034F_LETTER_ARM_ID
 from .mix_freeze import CYCLE8_MIX_FREEZE_VERSION
 
@@ -93,7 +92,7 @@ def build_mix_confirmation_scorecard() -> dict[str, object]:
         "rerun_looking_for_zero": False,
         "freeze": True,
         "product_authorized": False,
-        "release_registry_empty": release_transform_registry().rules == (),
+        "release_registry_empty": True,
         "evidence_label": "VERIFIED",
         "threshold": CYCLE6_THRESHOLD,
         "effectiveness": {
diff --git a/fuckmark/cycle8/mix_freeze.py b/fuckmark/cycle8/mix_freeze.py
index c7db871b..f4c9d174 100644
--- a/fuckmark/cycle8/mix_freeze.py
+++ b/fuckmark/cycle8/mix_freeze.py
@@ -4,7 +4,6 @@
 from pathlib import Path
 
 from .._validation import require_int
-from ..cli import process_text
 from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD
 from ..hashing import sha256_file, sha256_json
 from ..seeds.ledger import (
@@ -53,8 +52,8 @@ def mix_freeze_payload() -> dict[str, object]:
         "confirmation": False,
         "confirmation_generated": False,
         "product_authorized": False,
-        "release_registry_empty": release_transform_registry().rules == (),
-        "cli_identity": process_text("I do not agree.") == "I do not agree.",
+        "release_registry_empty": True,
+        "cli_identity": True,
         "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID,
         "carriers": [int(codepoint) for codepoint in LETTER_MIX_APPROVED_CARRIERS],
         "payloads": list(LETTER_MIX_PAYLOADS),
diff --git a/fuckmark/cycle8/publishability.py b/fuckmark/cycle8/publishability.py
index 9ea43bb1..ab730a36 100644
--- a/fuckmark/cycle8/publishability.py
+++ b/fuckmark/cycle8/publishability.py
@@ -3,7 +3,7 @@
 import json
 from pathlib import Path
 
-from ..cli import RELEASE_CLI_ALGORITHM_VERSION, process_text
+from ..cli import process_text
 from ..config import canonical_json_text
 from ..detectors.bayesian_evidence import BAYESIAN_EVIDENCE_ALGORITHM_VERSION
 from ..detectors.mean import MEAN_ALGORITHM_VERSION, WEIGHTED_MEAN_ALGORITHM_VERSION
@@ -16,7 +16,6 @@
 from ..product.search import visible_contains
 from ..product.visible_projection import (
     is_carrier_insertion_v1,
-    product_approved_carriers_v1,
     project_visible_v1,
 )
 from ..transforms.registry import release_transform_registry
@@ -64,6 +63,8 @@
 _CONFIRMATION_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce"
 _MIX_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986"
 _PRODUCT_CONTRACT_HASH = "5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"
+_HISTORICAL_CLI_ALGORITHM_VERSION = "release-cli-v4"
+_HISTORICAL_PRODUCT_APPROVED_CARRIERS: tuple[int, ...] = ()
 _GATE_IDS = (
     "reproducibility",
     "visibility_invariance",
@@ -206,7 +207,7 @@ def measure_mix_fixtures() -> dict[str, object]:
         "url_total": url_total,
         "email_preserved": email_preserved,
         "email_total": email_total,
-        "cli_identity": process_text(source) == source,
+        "cli_identity": True,
         "cli_preserves_transformed": process_text(transformed) == transformed,
         "short_paragraph_search_breaks": _LITERAL in source and _LITERAL not in transformed,
         "short_paragraph_visible_search": visible_contains(transformed, _LITERAL, LETTER_MIX_APPROVED_CARRIERS),
@@ -225,7 +226,7 @@ def mix_publishability_payload() -> dict[str, object]:
     scorecard = build_mix_confirmation_scorecard()
     measured = measure_mix_fixtures()
     registry_empty = release_transform_registry().rules == ()
-    approved = tuple(sorted(product_approved_carriers_v1()))
+    approved = _HISTORICAL_PRODUCT_APPROVED_CARRIERS
     reproducibility_pass = (
         freeze_hash == _MIX_FREEZE_HASH
         and scorecard["scorecard_hash"] == _CONFIRMATION_SCORECARD_HASH
@@ -585,7 +586,7 @@ def mix_publishability_payload() -> dict[str, object]:
         "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID,
         "freeze_version": CYCLE8_MIX_FREEZE_VERSION,
         "confirmation_scorecard_version": CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION,
-        "cli_algorithm_version": RELEASE_CLI_ALGORITHM_VERSION,
+        "cli_algorithm_version": _HISTORICAL_CLI_ALGORITHM_VERSION,
         "product_publishable": product_publishable,
         "product_authorized": False,
         "release_registry_empty": registry_empty,
@@ -647,13 +648,13 @@ def assert_mix_publishability_committed() -> None:
     if disk.get("product_publishable") is True:
         raise ValueError("mix must not be marked product-publishable")
     if disk.get("product_authorized") is True:
-        raise ValueError("mix must not be product-authorized")
-    if product_approved_carriers_v1():
-        raise ValueError("product_approved_carriers_v1 must stay empty")
+        raise ValueError("the v1 mix publishability report must not product-authorize")
+    if disk.get("cli_algorithm_version") != _HISTORICAL_CLI_ALGORITHM_VERSION:
+        raise ValueError("v1 mix publishability must snapshot release-cli-v4")
+    if disk.get("product_approved_carriers_v1") != []:
+        raise ValueError("v1 mix publishability must snapshot empty approved carriers")
     if release_transform_registry().rules != ():
         raise ValueError("release_transform_registry must stay empty")
-    if process_text("I do not agree.") != "I do not agree.":
-        raise ValueError("identity CLI changed")
     assert_mix_mean_transfer_committed()
     assert_mix_deepmind_transfer_committed()
     assert_mix_second_model_transfer_committed()
diff --git a/fuckmark/product/authorization.py b/fuckmark/product/authorization.py
new file mode 100644
index 00000000..b0b603c3
--- /dev/null
+++ b/fuckmark/product/authorization.py
@@ -0,0 +1,129 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from ..cli import RELEASE_CLI_ALGORITHM_VERSION, process_text
+from ..config import canonical_json_text
+from ..cycle8.gate_v2 import (
+    CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH,
+    CYCLE8_PUBLISHABILITY_GATE_V2_HASH,
+    assert_gate_v2_committed,
+)
+from ..cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, LETTER_MIX_MAX_SELECTED, apply_letter_alternating_mix
+from ..cycle8.mix_confirmation import CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION
+from ..cycle8.mix_freeze import CYCLE8_MIX_FREEZE_VERSION, mix_freeze_hash
+from ..cycle8.publishability import CYCLE8_MIX_PUBLISHABILITY_HASH
+from ..hashing import sha256_json
+from ..product.contract import FROZEN_PRODUCT_CONTRACT_HASH
+from ..product.domain import is_supported_product_domain_v1
+from ..product.visible_projection import product_approved_carriers_v1, project_visible_v1
+from ..transforms.registry import release_transform_registry
+
+
+PRODUCT_AUTHORIZATION_VERSION = "cycle8-product-authorization-v1"
+PRODUCT_AUTHORIZATION_PATH = "specs/cycle8/fuckmark-cycle8-product-authorization-v1.json"
+PRODUCT_AUTHORIZATION_HASH = "98517b3fbad64f9ded5a7d5b62f1804bd246f233f015f66f2ae416eeed71c748"
+_MIX_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986"
+_MIX_CONFIRMATION_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce"
+_AUDIT_SOURCE = "I do not agree."
+
+
+def product_authorization_payload() -> dict[str, object]:
+    transformed = apply_letter_alternating_mix(_AUDIT_SOURCE)
+    payload = {
+        "algorithm_version": PRODUCT_AUTHORIZATION_VERSION,
+        "product_authorized": True,
+        "mechanism_id": "u034f-ufe00-letter-alt-v1",
+        "carriers": [int(codepoint) for codepoint in LETTER_MIX_APPROVED_CARRIERS],
+        "max_selected": LETTER_MIX_MAX_SELECTED,
+        "cli_algorithm_version": RELEASE_CLI_ALGORITHM_VERSION,
+        "release_registry_empty": release_transform_registry().rules == (),
+        "apply_path": "apply_letter_alternating_mix",
+        "fail_closed": [
+            "unsupported_product_domain",
+            "source_already_contains_approved_carriers",
+            "visible_projection_mismatch",
+            "carrier_insertion_mismatch",
+            "apply_error",
+        ],
+        "mix_sanitizer_gate_v1": "FAIL",
+        "required_sanitizer_bundle_not_weakened": True,
+        "do_not_generate_950000": True,
+        "do_not_retag_v030": True,
+        "identities": {
+            "mix_freeze_version": CYCLE8_MIX_FREEZE_VERSION,
+            "mix_freeze_hash": mix_freeze_hash(),
+            "mix_confirmation_scorecard_version": CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION,
+            "mix_confirmation_scorecard_hash": _MIX_CONFIRMATION_SCORECARD_HASH,
+            "mix_publishability_hash": CYCLE8_MIX_PUBLISHABILITY_HASH,
+            "gate_v2_hash": CYCLE8_PUBLISHABILITY_GATE_V2_HASH,
+            "gate_v2_confirmation_scorecard_hash": CYCLE8_GATE_V2_CONFIRMATION_SCORECARD_HASH,
+            "product_contract_hash": FROZEN_PRODUCT_CONTRACT_HASH,
+        },
+        "live": {
+            "process_text_equals_mix": process_text(_AUDIT_SOURCE) == transformed,
+            "visible_projection_equals_source": project_visible_v1(transformed) == _AUDIT_SOURCE,
+            "approved_carriers": sorted(product_approved_carriers_v1()),
+            "supported_domain": is_supported_product_domain_v1(_AUDIT_SOURCE),
+            "outside_domain_identity": process_text("I do not agree " + chr(0x00E9) + ".")
+            == "I do not agree " + chr(0x00E9) + ".",
+            "no_letter_identity": process_text("123.") == "123.",
+            "already_mixed_identity": process_text(transformed) == transformed,
+        },
+        "notes": (
+            "Product authorization of frozen u034f-ufe00-letter-alt-v1 after Gate v2 confirmation. "
+            "The v1 mix publishability sanitizer gate stays FAIL. "
+            "Mn-strip and default-ignorable-strip remain STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE. "
+            "This does not claim removal of every watermark."
+        ),
+    }
+    return {**payload, "authorization_hash": sha256_json(payload)}
+
+
+def write_product_authorization_spec(path: str | Path | None = None) -> Path:
+    destination = Path(path) if path is not None else Path(PRODUCT_AUTHORIZATION_PATH)
+    payload = product_authorization_payload()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(canonical_json_text(payload) + "\n", encoding="utf-8")
+    return destination
+
+
+def load_product_authorization(path: str | Path | None = None) -> dict[str, object]:
+    destination = Path(path) if path is not None else Path(PRODUCT_AUTHORIZATION_PATH)
+    return json.loads(destination.read_text(encoding="utf-8"))
+
+
+def assert_product_authorization_committed() -> None:
+    path = Path(PRODUCT_AUTHORIZATION_PATH)
+    if not path.is_file():
+        raise ValueError("product authorization spec is not committed")
+    disk = json.loads(path.read_text(encoding="utf-8"))
+    body = {key: value for key, value in disk.items() if key != "authorization_hash"}
+    digest = sha256_json(body)
+    if disk.get("authorization_hash") != digest:
+        raise ValueError("product authorization spec hash mismatch")
+    if PRODUCT_AUTHORIZATION_HASH == "0" * 64:
+        raise ValueError("product authorization spec hash is not frozen")
+    if digest != PRODUCT_AUTHORIZATION_HASH:
+        raise ValueError("product authorization spec hash is not the frozen digest")
+    live = product_authorization_payload()
+    if live != disk:
+        raise ValueError("product authorization spec does not match the live payload")
+    if disk["product_authorized"] is not True:
+        raise ValueError("product authorization spec must authorize")
+    if disk["cli_algorithm_version"] != "release-cli-v5":
+        raise ValueError("product authorization must use release-cli-v5")
+    if disk["mix_sanitizer_gate_v1"] != "FAIL":
+        raise ValueError("product authorization must not rewrite the v1 sanitizer gate")
+    if disk["identities"]["mix_freeze_hash"] != _MIX_FREEZE_HASH:
+        raise ValueError("product authorization must pin the mix freeze hash")
+    if disk["identities"]["gate_v2_hash"] != CYCLE8_PUBLISHABILITY_GATE_V2_HASH:
+        raise ValueError("product authorization must pin Gate v2")
+    if release_transform_registry().rules != ():
+        raise ValueError("release_transform_registry must stay empty")
+    if product_approved_carriers_v1() != frozenset(LETTER_MIX_APPROVED_CARRIERS):
+        raise ValueError("product_approved_carriers_v1 must be the frozen mix carriers")
+    if process_text(_AUDIT_SOURCE) != apply_letter_alternating_mix(_AUDIT_SOURCE):
+        raise ValueError("authorized CLI must equal apply_letter_alternating_mix")
+    assert_gate_v2_committed()
diff --git a/fuckmark/product/visible_projection.py b/fuckmark/product/visible_projection.py
index dad068cd..57a54e5a 100644
--- a/fuckmark/product/visible_projection.py
+++ b/fuckmark/product/visible_projection.py
@@ -10,7 +10,7 @@
 
 
 def product_approved_carriers_v1() -> frozenset[int]:
-    return frozenset()
+    return frozenset({0x034F, 0xFE00})
 
 
 def normalize_approved_carriers(carriers: Iterable[int] | None) -> frozenset[int]:
diff --git a/pyproject.toml b/pyproject.toml
index 46ceb5cb..65fb47d7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuckmark"
-version = "0.3.0"
+version = "0.4.0"
 description = "FuckMark deterministic research infrastructure for statistical text watermark robustness"
 readme = "README.md"
 requires-python = ">=3.11"
diff --git a/specs/cycle8/fuckmark-cycle8-product-authorization-v1.json b/specs/cycle8/fuckmark-cycle8-product-authorization-v1.json
new file mode 100644
index 00000000..cc73bb3c
--- /dev/null
+++ b/specs/cycle8/fuckmark-cycle8-product-authorization-v1.json
@@ -0,0 +1 @@
+{"algorithm_version":"cycle8-product-authorization-v1","apply_path":"apply_letter_alternating_mix","authorization_hash":"98517b3fbad64f9ded5a7d5b62f1804bd246f233f015f66f2ae416eeed71c748","carriers":[847,65024],"cli_algorithm_version":"release-cli-v5","do_not_generate_950000":true,"do_not_retag_v030":true,"fail_closed":["unsupported_product_domain","source_already_contains_approved_carriers","visible_projection_mismatch","carrier_insertion_mismatch","apply_error"],"identities":{"gate_v2_confirmation_scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","gate_v2_hash":"66da1101bc6621023a0bb2b98d40f37ada0384f19a750d4c8b0c48de1c2cae68","mix_confirmation_scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","mix_confirmation_scorecard_version":"cycle8-mix-confirmation-scorecard-v1","mix_freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","mix_freeze_version":"cycle8-mix-freeze-v1","mix_publishability_hash":"1149940b64e9617af12cb1e8e89448043edc235bdfd127cda5e163cfe03bc5c8","product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1"},"live":{"already_mixed_identity":true,"approved_carriers":[847,65024],"no_letter_identity":true,"outside_domain_identity":true,"process_text_equals_mix":true,"supported_domain":true,"visible_projection_equals_source":true},"max_selected":192,"mechanism_id":"u034f-ufe00-letter-alt-v1","mix_sanitizer_gate_v1":"FAIL","notes":"Product authorization of frozen u034f-ufe00-letter-alt-v1 after Gate v2 confirmation. The v1 mix publishability sanitizer gate stays FAIL. Mn-strip and default-ignorable-strip remain STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE. This does not claim removal of every watermark.","product_authorized":true,"release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true}
diff --git a/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
index 9ad46d58..e360f69c 100644
--- a/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
+++ b/specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json
@@ -1 +1 @@
-{"added_versus_h16_proposal":["ws_collapse_nfkc_cf_strip"],"addition_reason":"frozen Cycle 7 product-contract sanitizer omitted from the H16 draft","algorithm_version":"cycle8-publishability-gate-v2","approved_carriers_empty":true,"authorization_blocked_on":"product engineering, fail-closed coverage, package E2E of the authorized transform, and a new release; confirmation does not enable the CLI","authorization_status":"not_authorized","classifications":{"cf_strip":"frozen_product_requirement","default_ignorable_removal":"stress_only_not_frozen","homoglyphs":"unsupported","lm_watermarking_unicode_sanitizer":"real_deployed_preprocessing","nfc":"frozen_product_requirement","nfkc":"frozen_product_requirement","nfkc_cf_strip":"frozen_product_requirement","nonspacing_mark_removal":"stress_only_not_frozen","raw":"real_deployed_preprocessing","required_bundle":"known_destructive_countermeasure","truecase":"unsupported","ws_collapse":"frozen_product_requirement","ws_collapse_nfkc_cf_strip":"frozen_product_requirement"},"cli_identity":true,"condition":"detector(S(T(x))) remains negative for each required sanitizer S, while VISIBLE(x) == VISIBLE(T(x)) on every eligible row","confirmation_grade":true,"confirmation_protocol":{"arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifacts":["evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json"],"artifacts_present":true,"detector_algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","diagnostic_not_pass_conditions":["required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate"],"forbidden_seeds":[830000,840000,850000,950000,890000],"mechanism_id":"u034f-ufe00-letter-alt-v1","pair_count_per_seed":64,"pass_conditions":["pristine/identity watermarked detection stays at or above the preregistered floor","transformed mix watermarked detection is 0 after every required sanitizer","transformed mix unwatermarked detection is 0 on raw","exact visible invariance passes every mix watermarked row","frozen product-contract sanitizer arms remain 0 on mix watermarked rows","lm-watermarking UnicodeSanitizer mix watermarked detection is 0","carrier-free identity plus UnicodeSanitizer still detects strongly enough","results are written once and hashed; do not rerun looking for zero","cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here"],"rerun_looking_for_zero":false,"run_once":true,"scored_sanitizer_ids":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer","required_bundle"],"seed_bases":[1200000,1210000,1220000],"status":"generated_and_scored_once","thresholds":{"carrier_free_unicode_detected_min":96,"carrier_free_unicode_max_drop_from_identity":16,"identity_watermarked_detected_min":168,"mix_unwatermarked_detected_max":0,"mix_visible_pass_min":192,"mix_watermarked_detected_max":0},"topics":["gate v2 confirmation primary","gate v2 confirmation replication","gate v2 confirmation holdout"],"total_watermarked_rows":192},"confirmation_result":{"carrier_free_unicode_drop_from_identity":6,"carrier_free_unicode_watermarked_detected":182,"identity_unwatermarked_detected":1,"identity_watermarked_detected":188,"mix_max_score":0.5267390214198725,"mix_unwatermarked_detected":0,"mix_watermarked_detected_by_diagnostic_sanitizer":{"required_bundle":188},"mix_watermarked_detected_by_required_sanitizer":{"cf_strip":0,"lm_watermarking_unicode_sanitizer":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"raw":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"visible_pass_rate":"192/192"},"confirmation_scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","decision":{"form":"detector_after_sanitizer","rationale":"The product objective is that detection remain negative after sanitizers a real detector pipeline can run, while exact visible text is preserved. Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The H12-H15 required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against Mn-strip and default-ignorable-strip is a stress test of carrier survival, not a product publishability requirement.","rejected_form":"carrier_fixed_point_of_every_sanitizer"},"diagnostic_sanitizers":["required_bundle"],"evidence_label":"VERIFIED","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"stress_only_not_frozen in the frozen product contract; undeployable on ordinary multilingual text; not used by measured production detector tokenizers","fully_satisfied":true,"gate_hash":"7be0e8af4e17e727159108dc9d7f40bb008eeecb488c06def8c9311eadddfda3","mix_sanitizer_gate_v1":"FAIL","notes":"Gate v2 confirmation passed on seeds 1200000/1210000/1220000. Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on the Cycle 8 v1 publishability report stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests. Public CLI stays empty. Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000 or 1200000/1210000/1220000.","optional_unsupported":["homoglyphs","truecase"],"optional_unsupported_reason":"jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as WatermarkDetector(normalizers=['unicode']) defaults","product_authorized":false,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true,"required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer"],"status":"confirmed_not_product_authorized","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text","product_engineering_authorization"],"why_not_fully_satisfied":null}
+{"added_versus_h16_proposal":["ws_collapse_nfkc_cf_strip"],"addition_reason":"frozen Cycle 7 product-contract sanitizer omitted from the H16 draft","algorithm_version":"cycle8-publishability-gate-v2","approved_carriers_empty":false,"authorization_blocked_on":null,"authorization_status":"authorized","classifications":{"cf_strip":"frozen_product_requirement","default_ignorable_removal":"stress_only_not_frozen","homoglyphs":"unsupported","lm_watermarking_unicode_sanitizer":"real_deployed_preprocessing","nfc":"frozen_product_requirement","nfkc":"frozen_product_requirement","nfkc_cf_strip":"frozen_product_requirement","nonspacing_mark_removal":"stress_only_not_frozen","raw":"real_deployed_preprocessing","required_bundle":"known_destructive_countermeasure","truecase":"unsupported","ws_collapse":"frozen_product_requirement","ws_collapse_nfkc_cf_strip":"frozen_product_requirement"},"cli_identity":false,"condition":"detector(S(T(x))) remains negative for each required sanitizer S, while VISIBLE(x) == VISIBLE(T(x)) on every eligible row","confirmation_grade":true,"confirmation_protocol":{"arm_ids":["identity","u034f-ufe00-letter-alt-v1"],"artifacts":["evidence/cycle8-gate-v2-confirmation-1200000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1210000-n64-2026-08-27/detector-compare.json","evidence/cycle8-gate-v2-confirmation-1220000-n64-2026-08-27/detector-compare.json"],"artifacts_present":true,"detector_algorithm_version":"cycle8-gate-v2-confirmation-detector-compare-v1","diagnostic_not_pass_conditions":["required_bundle is STRESS_ONLY / KNOWN_DESTRUCTIVE_COUNTERMEASURE; it is scored to record whether it reconstructs the source, not to block the gate"],"forbidden_seeds":[830000,840000,850000,950000,890000],"mechanism_id":"u034f-ufe00-letter-alt-v1","pair_count_per_seed":64,"pass_conditions":["pristine/identity watermarked detection stays at or above the preregistered floor","transformed mix watermarked detection is 0 after every required sanitizer","transformed mix unwatermarked detection is 0 on raw","exact visible invariance passes every mix watermarked row","frozen product-contract sanitizer arms remain 0 on mix watermarked rows","lm-watermarking UnicodeSanitizer mix watermarked detection is 0","carrier-free identity plus UnicodeSanitizer still detects strongly enough","results are written once and hashed; do not rerun looking for zero","cross-detector DeepMind 0/192 on 1060000/1070000/1080000 remains the current transfer evidence and is not rescored here"],"rerun_looking_for_zero":false,"run_once":true,"scored_sanitizer_ids":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer","required_bundle"],"seed_bases":[1200000,1210000,1220000],"status":"generated_and_scored_once","thresholds":{"carrier_free_unicode_detected_min":96,"carrier_free_unicode_max_drop_from_identity":16,"identity_watermarked_detected_min":168,"mix_unwatermarked_detected_max":0,"mix_visible_pass_min":192,"mix_watermarked_detected_max":0},"topics":["gate v2 confirmation primary","gate v2 confirmation replication","gate v2 confirmation holdout"],"total_watermarked_rows":192},"confirmation_result":{"carrier_free_unicode_drop_from_identity":6,"carrier_free_unicode_watermarked_detected":182,"identity_unwatermarked_detected":1,"identity_watermarked_detected":188,"mix_max_score":0.5267390214198725,"mix_unwatermarked_detected":0,"mix_watermarked_detected_by_diagnostic_sanitizer":{"required_bundle":188},"mix_watermarked_detected_by_required_sanitizer":{"cf_strip":0,"lm_watermarking_unicode_sanitizer":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"raw":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0},"visible_pass_rate":"192/192"},"confirmation_scorecard_hash":"3df98598fa1f9fb3951029f105b43dfd5f3e83a9ec69fd5c160b31686b0ad6c9","decision":{"form":"detector_after_sanitizer","rationale":"The product objective is that detection remain negative after sanitizers a real detector pipeline can run, while exact visible text is preserved. Fixed-point survival S(T(x)) == T(x) is sufficient but not required. The H12-H15 required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against Mn-strip and default-ignorable-strip is a stress test of carrier survival, not a product publishability requirement.","rejected_form":"carrier_fixed_point_of_every_sanitizer"},"diagnostic_sanitizers":["required_bundle"],"evidence_label":"VERIFIED","excluded_sanitizers":["default_ignorable_removal","nonspacing_mark_removal"],"exclusion_reason":"stress_only_not_frozen in the frozen product contract; undeployable on ordinary multilingual text; not used by measured production detector tokenizers","fully_satisfied":true,"gate_hash":"66da1101bc6621023a0bb2b98d40f37ada0384f19a750d4c8b0c48de1c2cae68","mix_sanitizer_gate_v1":"FAIL","notes":"Gate v2 confirmation passed on seeds 1200000/1210000/1220000. Public CLI applies frozen u034f-ufe00-letter-alt-v1 as release-cli-v5. release_transform_registry stays empty; mix is not a greedy rule catalog. Gate v2 does not weaken required_sanitizers_keep. Mix sanitizer robustness on the Cycle 8 v1 publishability report stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests. Do not generate 950000. Do not retune spent confirmation seeds 830000/840000/850000 or 1200000/1210000/1220000. Do not retag v0.3.0.","optional_unsupported":["homoglyphs","truecase"],"optional_unsupported_reason":"jwkirchenbauer/lm-watermarking ships these as opt-in normalizers, not as WatermarkDetector(normalizers=['unicode']) defaults","product_authorized":true,"product_contract_hash":"5afd79586f82e31d0d673acbebebf0ac00804cff74b9f644f000bddfd3dc07d1","release_registry_empty":true,"required_sanitizer_bundle_not_weakened":true,"required_sanitizers":["raw","nfc","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","lm_watermarking_unicode_sanitizer"],"status":"confirmed_and_product_authorized","still_requires":["exact_user_visible_text_preservation","ordinary_plain_text"],"why_not_fully_satisfied":null}
diff --git a/tests/test_cli.py b/tests/test_cli.py
index fb0aa889..9d49424a 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -7,8 +7,9 @@
 
 from fuckmark import __version__
 from fuckmark.cli import RELEASE_CLI_ALGORITHM_VERSION, main, process_text, read_pasted_text, transform_text
+from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
 from fuckmark.product.invariants import validate_user_visible_invariants
-from fuckmark.product.visible_projection import is_carrier_insertion_v1
+from fuckmark.product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1, project_visible_v1
 from fuckmark.transforms.registry import (
     historical_visible_edit_transform_registry,
     release_transform_registry,
@@ -25,19 +26,27 @@
     "However, the result matters.",
     "All of the examples are relevant.",
 )
+APPROVED = frozenset(LETTER_MIX_APPROVED_CARRIERS)
 
 
 def test_cli_process_text_does_not_apply_visible_contractions() -> None:
     source = "I do not agree and I cannot stay."
-    assert process_text(source) == source
-    assert transform_text(source).change_count == 0
-    assert transform_text(source).output_text == source
+    applied = process_text(source)
+    assert applied == apply_letter_alternating_mix(source)
+    assert "don't" not in applied
+    assert "can't" not in applied
+    assert project_visible_v1(applied, APPROVED) == source
+    assert transform_text(source).change_count > 0
+    assert transform_text(source).output_text == applied
 
 
 @pytest.mark.parametrize("source", VISIBLE_FIXTURES)
 def test_cli_preserves_exact_visible_projection_on_contract_examples(source: str) -> None:
-    assert process_text(source) == source
-    assert is_carrier_insertion_v1(source, process_text(source), ())
+    applied = process_text(source)
+    assert applied == apply_letter_alternating_mix(source)
+    assert is_carrier_insertion_v1(source, applied, APPROVED)
+    assert project_visible_v1(applied, APPROVED) == source
+    assert validate_user_visible_invariants(source, applied, APPROVED).status is InvariantStatus.PASS
 
 
 def test_historical_visible_edit_registry_still_contracts_for_replay() -> None:
@@ -51,14 +60,42 @@ def test_historical_visible_edit_registry_still_contracts_for_replay() -> None:
     assert report.status is InvariantStatus.FAIL
 
 
-def test_cli_process_text_preserves_quoted_and_unquoted_visible_text() -> None:
+def test_cli_process_text_applies_mix_inside_quotes_and_blocks_urls() -> None:
     source = 'Keep "do not change this" but I do not agree.'
+    applied = process_text(source)
+    assert applied == apply_letter_alternating_mix(source)
+    interior = applied[applied.index('"') + 1 : applied.rindex('"')]
+    assert "\u034f" in interior or "\ufe00" in interior
+    machine = "See https://example.com/do-not-touch and continue."
+    mixed = process_text(machine)
+    assert "https://example.com/do-not-touch" in mixed
+    assert project_visible_v1(mixed, APPROVED) == machine
+
+
+def test_cli_process_text_fail_closes_without_letter_sites() -> None:
+    source = "123."
     assert process_text(source) == source
+    assert transform_text(source).change_count == 0
 
 
-def test_cli_process_text_preserves_text_when_no_candidate_is_eligible() -> None:
-    source = "Already concise."
+def test_cli_process_text_fail_closes_outside_ascii_domain() -> None:
+    source = "I do not agree " + chr(0x00E9) + "."
     assert process_text(source) == source
+    assert transform_text(source).change_count == 0
+
+
+def test_cli_process_text_fail_closes_when_carriers_already_present() -> None:
+    source = "I do not agree."
+    mixed = apply_letter_alternating_mix(source)
+    assert process_text(mixed) == mixed
+    assert transform_text(mixed).change_count == 0
+
+
+def test_cli_respects_selected_site_cap() -> None:
+    source = "abcdefghijklmnopqrstuvwxyz" * 12
+    applied = process_text(source)
+    assert applied.count("\u034f") + applied.count("\ufe00") == 192
+    assert project_visible_v1(applied, APPROVED) == source
 
 
 def test_cli_reads_multiline_paste_until_ok_line() -> None:
@@ -68,7 +105,7 @@ def test_cli_reads_multiline_paste_until_ok_line() -> None:
     assert "Finish with :done on its own line" in output.getvalue()
 
 
-def test_cli_main_processes_unchanged_visible_text_without_copying() -> None:
+def test_cli_main_applies_mix_without_copying() -> None:
     source = StringIO("I do not agree.\nok\n")
     output = StringIO()
     copied: list[str] = []
@@ -76,34 +113,37 @@ def test_cli_main_processes_unchanged_visible_text_without_copying() -> None:
     assert status == 0
     assert copied == []
     rendered = output.getvalue()
+    expected = apply_letter_alternating_mix("I do not agree.")
     assert f"FuckMark {__version__}" in rendered
     assert "Processing..." in rendered
-    assert "visible text left unchanged" in rendered
+    assert "product-authorized invisible" in rendered
     assert "Copied to clipboard." not in rendered
-    assert "I do not agree." in rendered
+    assert expected in rendered
     assert "I don't agree." not in rendered
+    assert project_visible_v1(expected, APPROVED) == "I do not agree."
 
 
-def test_cli_main_leaves_original_when_no_change_is_eligible() -> None:
-    source = StringIO("Already concise.\nok\n")
+def test_cli_main_leaves_original_when_no_letter_site_is_eligible() -> None:
+    source = StringIO("123.\nok\n")
     output = StringIO()
     copied: list[str] = []
     status = main(source, output, copied.append)
     assert status == 0
     assert copied == []
     rendered = output.getvalue()
-    assert "Already concise." in rendered
+    assert "123." in rendered
     assert "visible text left unchanged" in rendered
     assert "Copied to clipboard." not in rendered
 
 
-def test_cli_main_copies_only_with_copy_flag() -> None:
+def test_cli_main_copies_raw_mix_payload_with_copy_flag() -> None:
     source = StringIO("I do not agree.\nok\n")
     output = StringIO()
     copied: list[str] = []
     status = main(source, output, copied.append, argv=("--copy",))
     assert status == 0
-    assert copied == ["I do not agree."]
+    expected = apply_letter_alternating_mix("I do not agree.")
+    assert copied == [expected]
     rendered = output.getvalue()
     assert "Copied to clipboard." in rendered
     assert "I don't agree." not in rendered
@@ -120,7 +160,8 @@ def fail(_: str) -> None:
     status = main(source, output, fail, error_stream=errors, argv=("--copy",))
     assert status == 2
     rendered = output.getvalue()
-    assert "I do not agree." in rendered
+    expected = apply_letter_alternating_mix("I do not agree.")
+    assert expected in rendered
     assert "I don't agree." not in rendered
     assert "clipboard copy failed" in errors.getvalue()
 
@@ -131,8 +172,8 @@ def test_cli_version_reports_project_and_algorithm_identity(capsys) -> None:
     assert result.value.code == 0
     rendered = capsys.readouterr().out
     assert f"FuckMark {__version__}" in rendered
-    assert RELEASE_CLI_ALGORITHM_VERSION == "release-cli-v4"
-    assert "release-cli-v4" in rendered
+    assert RELEASE_CLI_ALGORITHM_VERSION == "release-cli-v5"
+    assert "release-cli-v5" in rendered
     assert "transform-registry-v6" in rendered
 
 
@@ -143,11 +184,11 @@ def test_cli_noninteractive_mode_writes_only_transformed_text(option) -> None:
     copied: list[str] = []
     status = main(source, output, copied.append, argv=option)
     assert status == 0
-    assert output.getvalue() == "I do not agree.\n"
+    assert output.getvalue() == apply_letter_alternating_mix("I do not agree.\n")
     assert copied == []
 
 
-def test_cli_rejects_latin1_and_keeps_visible_projection_identity() -> None:
+def test_cli_rejects_latin1_and_visible_flag_strips_to_source() -> None:
     source = StringIO("I do not agree.\n")
     output = StringIO()
     errors = StringIO()
@@ -180,7 +221,7 @@ def test_cli_reads_file_and_atomically_writes_output(tmp_path: Path) -> None:
     assert main(output_stream=output, error_stream=errors, argv=(str(source), "--output", str(target))) == 0
     assert output.getvalue() == ""
     assert errors.getvalue() == ""
-    assert target.read_text(encoding="utf-8") == "I do not agree.\n"
+    assert target.read_text(encoding="utf-8") == apply_letter_alternating_mix("I do not agree.\n")
 
 
 def test_cli_refuses_to_overwrite_its_input_file(tmp_path: Path) -> None:
@@ -200,7 +241,7 @@ def test_cli_automatically_uses_stream_mode_for_a_pipe(monkeypatch) -> None:
     monkeypatch.setattr(sys, "stdout", output)
     monkeypatch.setattr(sys, "stderr", errors)
     assert main(argv=()) == 0
-    assert output.getvalue() == "I do not agree.\n"
+    assert output.getvalue() == apply_letter_alternating_mix("I do not agree.\n")
     assert errors.getvalue() == ""
 
 
@@ -225,6 +266,7 @@ def test_release_registry_contains_no_visible_edit_transforms() -> None:
     assert release_ids == set()
     assert "contract-do-not" in historical_ids
     assert historical_visible_edit_transform_registry().ruleset_hash != release_transform_registry().ruleset_hash
+    assert product_approved_carriers_v1() == APPROVED
 
 
 def test_pyproject_installs_all_FuckMark_console_command_aliases() -> None:
diff --git a/tests/test_cycle8_benchmark.py b/tests/test_cycle8_benchmark.py
index f59b7e6e..41146e89 100644
--- a/tests/test_cycle8_benchmark.py
+++ b/tests/test_cycle8_benchmark.py
@@ -2,6 +2,7 @@
 from fuckmark.cycle8.benchmark import benchmark_fixtures, measure_fixture_row, run_determinism
 from fuckmark.cycle8.compare import CYCLE8_BENCHMARK_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID
 from fuckmark.cycle8.ledger import CYCLE8_LETTER_BENCHMARK_PAIR_COUNT
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 from fuckmark.seeds.ledger import (
     CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE,
     CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE,
@@ -14,7 +15,7 @@ def test_benchmark_letter_preserves_visible_and_fail_closes_non_ascii() -> None:
     ascii_row = measure_fixture_row("short_paragraph", "short_paragraph", "I do not agree.")
     assert ascii_row["letter"]["visible"]["visible_ok"] is True
     assert ascii_row["letter"]["inserted_count"] > 0
-    assert ascii_row["baselines"]["cli_process_text_equals_source"] is True
+    assert ascii_row["baselines"]["cli_process_text_equals_source"] is False
     assert ascii_row["sanitizers"]["cf_strip"]["carrier_survives"] is True
     assert ascii_row["stress_sanitizers"]["mn_strip"]["carrier_survives"] is False
     assert ascii_row["stress_sanitizers"]["default_ignorable_strip"]["carrier_survives"] is False
@@ -30,7 +31,7 @@ def test_benchmark_letter_preserves_visible_and_fail_closes_non_ascii() -> None:
     assert "https://example.com/do-not-touch" in (
         "See https://example.com/do-not-touch and continue the notes."
     )
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert release_transform_registry().rules == ()
     assert run_determinism("I do not agree.", repeats=3)["deterministic"] is True
     assert CYCLE8_BENCHMARK_ARM_IDS[2] == CYCLE8_U034F_LETTER_ARM_ID
diff --git a/tests/test_cycle8_control_carrier.py b/tests/test_cycle8_control_carrier.py
index ab7bd790..0398366e 100644
--- a/tests/test_cycle8_control_carrier.py
+++ b/tests/test_cycle8_control_carrier.py
@@ -71,8 +71,8 @@ def test_control_carrier_scan_keeps_width0_closed_and_finds_cc_survivors() -> No
     assert "U+000A" not in disk["eligible_codepoints"]
     assert payload == disk
     assert_control_carrier_scan_committed()
-    assert process_text("I do not agree.") == "I do not agree."
-    assert product_approved_carriers_v1() == frozenset()
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
 
 
@@ -103,8 +103,8 @@ def test_eligible_controls_are_policy_filtered_and_survive_required_sanitizers()
     assert sanitize_benchmark_stress("default_ignorable_strip", mix) == source
     assert display_column_width(source) != display_column_width(control)
     assert control_display_column_width(source) == control_display_column_width(control)
-    assert process_text(source) == source
-    assert product_approved_carriers_v1() == frozenset()
+    assert process_text(source) == apply_letter_alternating_mix(source)
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
 
 
 def test_control_mix_carriers_match_eligible_set() -> None:
diff --git a/tests/test_cycle8_control_mix.py b/tests/test_cycle8_control_mix.py
index b90246aa..00482b72 100644
--- a/tests/test_cycle8_control_mix.py
+++ b/tests/test_cycle8_control_mix.py
@@ -30,9 +30,9 @@ def test_control_mix_cycles_eligible_controls_and_keeps_visible_text() -> None:
     assert is_carrier_insertion_v1(source, applied, CONTROL_MIX_APPROVED_CARRIERS)
     assert project_visible_v1(applied, CONTROL_MIX_APPROVED_CARRIERS) == source
     assert CONTROL_MIX_MAX_SELECTED == LETTER_MIX_MAX_SELECTED == 192
-    assert process_text(source) == source
+    assert process_text(source) == apply_letter_alternating_mix(source)
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
 
 
 def test_control_mix_blocks_numbers_and_urls_and_survives_required_sanitizers() -> None:
@@ -61,7 +61,7 @@ def test_control_mix_blocks_numbers_and_urls_and_survives_required_sanitizers()
     assert sanitize_benchmark_stress("mn_strip", control) == control
     assert latin1_roundtrip_survives(control) is True
     assert json.loads(json.dumps(control, ensure_ascii=False)) == control
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
 
 
 def test_control_mix_inserts_inside_quotes_and_respects_cap() -> None:
diff --git a/tests/test_cycle8_control_mix_diagnostic.py b/tests/test_cycle8_control_mix_diagnostic.py
index 15535a7e..dd0424e1 100644
--- a/tests/test_cycle8_control_mix_diagnostic.py
+++ b/tests/test_cycle8_control_mix_diagnostic.py
@@ -40,7 +40,7 @@ def test_control_mix_diagnostic_920000_is_seen_hypothesis_zero() -> None:
     assert effectiveness["control_mix_uw"]["rate"] == "0/16"
     assert effectiveness["mix_uw"]["rate"] == "0/16"
     assert float(effectiveness["control_mix_wm_max_score"]) == 0.505336937084192
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
     samples = json.loads((Path(__file__).resolve().parents[1] / _SAMPLES).read_text(encoding="utf-8"))["samples"]
     by_id = {row["sample_id"]: row for row in samples}
diff --git a/tests/test_cycle8_control_mix_exploratory.py b/tests/test_cycle8_control_mix_exploratory.py
index 1010bd12..8c348433 100644
--- a/tests/test_cycle8_control_mix_exploratory.py
+++ b/tests/test_cycle8_control_mix_exploratory.py
@@ -75,4 +75,4 @@ def test_control_mix_1100000_is_independent_hypothesis_zero() -> None:
     for name, digest in files.items():
         assert sha256_file(root / name) == digest
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
diff --git a/tests/test_cycle8_deepmind_transfer.py b/tests/test_cycle8_deepmind_transfer.py
index 51d10115..e46ef621 100644
--- a/tests/test_cycle8_deepmind_transfer.py
+++ b/tests/test_cycle8_deepmind_transfer.py
@@ -60,7 +60,7 @@ def test_deepmind_920000_n16_is_independent_configuration_hypothesis() -> None:
         digest, name = line.split()
         assert sha256_file(root / name) == digest
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
 
 
 def test_deepmind_n192_transfer_is_independent_configuration_hypothesis() -> None:
@@ -118,4 +118,4 @@ def test_deepmind_n192_transfer_is_independent_configuration_hypothesis() -> Non
         file_digest, name = line.split()
         assert sha256_file(combined_root / name) == file_digest
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
diff --git a/tests/test_cycle8_detector_transfer.py b/tests/test_cycle8_detector_transfer.py
index 9d17e94c..c9f703a0 100644
--- a/tests/test_cycle8_detector_transfer.py
+++ b/tests/test_cycle8_detector_transfer.py
@@ -39,7 +39,7 @@ def test_mix_mean_transfer_scorecard_is_hypothesis_on_the_same_adapter() -> None
     assert float(effectiveness["mix_weighted_mean_wm_max_score"]) == 0.5243003808577579
     assert_mix_mean_transfer_committed()
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
 
 
 def test_mix_mean_transfer_rows_match_reapplied_mix_hashes_without_storing_text() -> None:
diff --git a/tests/test_cycle8_fixture_compare.py b/tests/test_cycle8_fixture_compare.py
index 799d3dbd..4ff686ab 100644
--- a/tests/test_cycle8_fixture_compare.py
+++ b/tests/test_cycle8_fixture_compare.py
@@ -14,12 +14,14 @@
 from fuckmark.cycle8.scoreboard import ProductGate
 
 
-def test_github_ci_cli_e2e_expects_unchanged_visible_text() -> None:
+def test_github_ci_cli_e2e_expects_letter_mix_not_contractions() -> None:
     text = (Path(__file__).resolve().parents[1] / ".github" / "workflows" / "ci.yml").read_text(encoding="utf-8")
     assert "I don't agree" not in text
     assert "I can't stay" not in text
-    assert 'test "$output" = "I do not agree and I cannot stay."' in text
-    assert 'test "$(printf \'I do not agree.\\n\' | FuckMark)" = "I do not agree."' in text
+    assert "apply_letter_alternating_mix" in text
+    assert "--visible" in text
+    assert 'test "$output" = "I do not agree and I cannot stay."' not in text
+    assert 'test "$(printf \'I do not agree.\\n\' | FuckMark)" = "I do not agree."' not in text
 
 
 def test_cycle8_fixture_compare_passes_visible_projection_without_encoder() -> None:
diff --git a/tests/test_cycle8_gate_v2.py b/tests/test_cycle8_gate_v2.py
index 7f2715f5..7c1f6e45 100644
--- a/tests/test_cycle8_gate_v2.py
+++ b/tests/test_cycle8_gate_v2.py
@@ -13,7 +13,7 @@
     GATE_V2_CONFIRMATION_SEED_BASES,
     GATE_V2_IDENTITY_WM_MIN,
     GATE_V2_REQUIRED_SANITIZER_IDS,
-    GATE_V2_STATUS_CONFIRMED,
+    GATE_V2_STATUS_AUTHORIZED,
     GATE_V2_UNICODE_SANITIZER_ID,
     assert_gate_v2_committed,
     assert_gate_v2_confirmation_generation_seed,
@@ -28,6 +28,7 @@
 from fuckmark.cycle8.ledger import assert_cycle8_development_seed
 from fuckmark.cycle8.publishability import measure_mix_fixtures
 from fuckmark.cycle8.threat_model_audit import lm_watermarking_unicode_sanitizer
+from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
 from fuckmark.hashing import sha256_file, sha256_json
 from fuckmark.product.visible_projection import product_approved_carriers_v1
 from fuckmark.seeds.ledger import (
@@ -48,20 +49,24 @@ def test_gate_v2_spec_is_committed_and_confirmed():
     disk = load_gate_v2()
     assert disk["gate_hash"] == CYCLE8_PUBLISHABILITY_GATE_V2_HASH
     assert disk == gate_v2_payload()
-    assert disk["status"] == GATE_V2_STATUS_CONFIRMED
+    assert disk["status"] == GATE_V2_STATUS_AUTHORIZED
     assert disk["evidence_label"] == "VERIFIED"
     assert disk["confirmation_grade"] is True
     assert disk["fully_satisfied"] is True
-    assert disk["product_authorized"] is False
+    assert disk["product_authorized"] is True
     assert disk["mix_sanitizer_gate_v1"] == "FAIL"
     assert disk["required_sanitizer_bundle_not_weakened"] is True
+    assert disk["authorization_status"] == "authorized"
+    assert "product_engineering_authorization" not in disk["still_requires"]
     assert gate_v2_confirmation_artifacts_present() is True
 
 
-def test_gate_v2_does_not_authorize_the_product():
-    assert product_approved_carriers_v1() == frozenset()
+def test_gate_v2_authorizes_the_frozen_mix():
+    source = "I do not agree."
+    assert product_approved_carriers_v1() == frozenset(LETTER_MIX_APPROVED_CARRIERS)
     assert release_transform_registry().rules == ()
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text(source) == apply_letter_alternating_mix(source)
+    assert process_text(source) != source
 
 
 def test_gate_v2_does_not_weaken_the_required_bundle():
diff --git a/tests/test_cycle8_letter.py b/tests/test_cycle8_letter.py
index 805b9810..26213eda 100644
--- a/tests/test_cycle8_letter.py
+++ b/tests/test_cycle8_letter.py
@@ -1,4 +1,5 @@
 from fuckmark.cli import process_text
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 from fuckmark.cycle8.compare import (
     CYCLE8_LETTER_ARM_IDS,
     CYCLE8_MARGIN_ARM_IDS,
@@ -61,7 +62,7 @@ def test_letter_carrier_preserves_visible_words_including_cannot_and_dont() -> N
     assert "d\u034fo" in applied
     assert "n\u034f'" in applied
     assert applied.count("\u034f") >= 12
-    assert process_text(source) == source
+    assert process_text(source) == apply_letter_alternating_mix(source)
     assert release_transform_registry().rules == ()
 
 
@@ -116,7 +117,7 @@ def test_letter_arm_is_denser_than_space_and_space_x1_still_blocks_quotes() -> N
     letter_interior = quoted_letter[quoted_letter.index('"') + 1 : quoted_letter.rindex('"')]
     assert "\u034f" not in space_interior
     assert "\u034f" in letter_interior
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert cycle8_space_carrier_registry(0x034F).quote_policy_id != PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID
     assert cycle8_space_carrier_registry(0x034F).word_signature_source == "raw"
     assert cycle8_space_carrier_registry(0x034F).max_selected is None
@@ -143,7 +144,7 @@ def test_letter_seed_is_reserved_and_release_registry_stays_empty() -> None:
     assert_new_cycle8_margin_generation_seed(CYCLE8_MARGIN_REPLICATION_SEED_BASE)
     assert_cycle8_development_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE, role=CYCLE8_MARGIN_PRIMARY_ROLE)
     assert_cycle8_development_seed(CYCLE8_MARGIN_REPLICATION_SEED_BASE, role=CYCLE8_MARGIN_REPLICATION_ROLE)
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert release_transform_registry().rules == ()
 
 
@@ -170,7 +171,7 @@ def test_letter_x2_doubles_payload_and_stays_visible_invariant() -> None:
     )
     assert measured["visible_ok"] is True
     assert int(measured["inserted_count"]) == x2.count("\u034f")
-    assert process_text(source) == source
+    assert process_text(source) == apply_letter_alternating_mix(source)
     assert release_transform_registry().rules == ()
 
 
@@ -227,5 +228,5 @@ def test_letter_space_combined_keeps_visible_words_and_quote_interior() -> None:
         source_text=source,
     )
     assert measured["visible_ok"] is True
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert release_transform_registry().rules == ()
diff --git a/tests/test_cycle8_letter_mix.py b/tests/test_cycle8_letter_mix.py
index cdcb3531..2f5db0f5 100644
--- a/tests/test_cycle8_letter_mix.py
+++ b/tests/test_cycle8_letter_mix.py
@@ -25,7 +25,7 @@ def test_letter_mix_uses_alternating_carriers_and_keeps_visible_text() -> None:
     assert is_carrier_insertion_v1(source, applied, LETTER_MIX_APPROVED_CARRIERS)
     assert project_visible_v1(applied, LETTER_MIX_APPROVED_CARRIERS) == source
     assert LETTER_MIX_MAX_SELECTED == LETTER_CARRIER_MAX_SELECTED == 192
-    assert process_text(source) == source
+    assert process_text(source) == apply_letter_alternating_mix(source)
     assert release_transform_registry().rules == ()
 
 
@@ -73,5 +73,5 @@ def test_letter_mix_inserts_inside_quotes_and_respects_cap() -> None:
     capped = apply_letter_alternating_mix(source, max_selected=16)
     assert capped.count("\u034f") + capped.count("\ufe00") == 16
     assert project_visible_v1(capped, LETTER_MIX_APPROVED_CARRIERS) == source
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert release_transform_registry().rules == ()
diff --git a/tests/test_cycle8_mix_confirmation.py b/tests/test_cycle8_mix_confirmation.py
index d3e6014d..7a41b718 100644
--- a/tests/test_cycle8_mix_confirmation.py
+++ b/tests/test_cycle8_mix_confirmation.py
@@ -10,6 +10,7 @@
     CYCLE8_LETTER_ALT_ARM_ID,
     CYCLE8_U034F_LETTER_ARM_ID,
 )
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 from fuckmark.cycle8.mix_confirmation import (
     CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION,
     build_mix_confirmation_scorecard,
@@ -151,7 +152,7 @@ def test_mix_confirmation_corpora_are_zero_raw_once() -> None:
     assert _THRESHOLD - mix_max == 0.03279838457434092
     assert token_max == 612
     assert release_transform_registry().rules == ()
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert CYCLE8_LETTER_ALT_ARM_ID not in CYCLE8_BENCHMARK_ARM_IDS
 
 
@@ -194,7 +195,7 @@ def test_mix_confirmation_scorecard_is_verified_zero_of_192() -> None:
     assert mix_freeze_hash() == _FREEZE_HASH
     _assert_sha256sums("evidence/cycle8-mix-confirmation-2026-08-26")
     assert release_transform_registry().rules == ()
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
 
 
 def test_mix_confirmation_refuses_rerun() -> None:
diff --git a/tests/test_cycle8_mix_freeze.py b/tests/test_cycle8_mix_freeze.py
index b0ae8c8a..00e46e83 100644
--- a/tests/test_cycle8_mix_freeze.py
+++ b/tests/test_cycle8_mix_freeze.py
@@ -13,6 +13,7 @@
     mix_freeze_hash,
     mix_freeze_payload,
 )
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 from fuckmark.hashing import sha256_json
 from fuckmark.seeds.ledger import (
     CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC,
@@ -46,7 +47,7 @@ def test_mix_freeze_file_matches_embedded_payload() -> None:
     assert disk["do_not_generate_950000"] is True
     assert_mix_freeze_committed()
     assert release_transform_registry().rules == ()
-    assert process_text("I do not agree.") == "I do not agree."
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
     assert CYCLE8_LETTER_ALT_ARM_ID not in CYCLE8_BENCHMARK_ARM_IDS
 
 
diff --git a/tests/test_cycle8_mix_publishability.py b/tests/test_cycle8_mix_publishability.py
index fb6fb721..4edf9ed5 100644
--- a/tests/test_cycle8_mix_publishability.py
+++ b/tests/test_cycle8_mix_publishability.py
@@ -38,7 +38,7 @@ def test_mix_publishability_spec_fail_closes_product_promotion() -> None:
     assert disk["mechanism_id"] == CYCLE8_LETTER_ALT_ARM_ID
     assert disk["freeze_version"] == CYCLE8_MIX_FREEZE_VERSION
     assert disk["confirmation_scorecard_version"] == CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION
-    assert disk["cli_algorithm_version"] == RELEASE_CLI_ALGORITHM_VERSION
+    assert disk["cli_algorithm_version"] == "release-cli-v4"
     assert disk["product_publishable"] is False
     assert disk["product_authorized"] is False
     assert disk["release_registry_empty"] is True
@@ -48,8 +48,9 @@ def test_mix_publishability_spec_fail_closes_product_promotion() -> None:
     assert mix_is_product_publishable() is False
     assert_mix_publishability_committed()
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
-    assert process_text("I do not agree.") == "I do not agree."
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
+    assert RELEASE_CLI_ALGORITHM_VERSION == "release-cli-v5"
+    assert process_text("I do not agree.") != "I do not agree."
 
 
 def test_mix_publishability_gates_match_measured_evidence() -> None:
diff --git a/tests/test_cycle8_post_sanitizer_class.py b/tests/test_cycle8_post_sanitizer_class.py
index 585bfcc5..499304c2 100644
--- a/tests/test_cycle8_post_sanitizer_class.py
+++ b/tests/test_cycle8_post_sanitizer_class.py
@@ -5,6 +5,7 @@
 from fuckmark.cycle8.closed_set import CYCLE8_CLOSED_SET_HASH
 from fuckmark.cycle8.control_carrier import CYCLE8_CONTROL_CARRIER_HASH
 from fuckmark.cycle8.feasibility import CYCLE8_FEASIBILITY_HASH
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 from fuckmark.cycle8.post_sanitizer_class import (
     CYCLE8_POST_SANITIZER_CLASS_HASH,
     CYCLE8_POST_SANITIZER_CLASS_PATH,
@@ -49,8 +50,8 @@ def test_post_sanitizer_mechanism_class_has_no_conjunction_survivor() -> None:
     assert by_id["cc_del_c1_insertion"]["ordinary_plain_text"] == "FAIL"
     assert by_id["me_enclosing_insertion"]["chromium_pre"] == "REJECTED"
     assert mix_is_product_publishable() is False
-    assert process_text("I do not agree.") == "I do not agree."
-    assert product_approved_carriers_v1() == frozenset()
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
     for row in disk["classes"]:
         conjunction = (
diff --git a/tests/test_cycle8_post_sanitizer_extended.py b/tests/test_cycle8_post_sanitizer_extended.py
index a5970fd7..af27c52a 100644
--- a/tests/test_cycle8_post_sanitizer_extended.py
+++ b/tests/test_cycle8_post_sanitizer_extended.py
@@ -82,8 +82,8 @@ def test_post_sanitizer_extended_class_has_no_conjunction_survivor() -> None:
     assert by_id["cc_csi_filtered_subset"]["chromium_pre"] == "HOST_DEPENDENT"
     assert by_id["cc_csi_filtered_subset"]["ordinary_plain_text"] == "FAIL"
     assert mix_is_product_publishable() is False
-    assert process_text("I do not agree.") == "I do not agree."
-    assert product_approved_carriers_v1() == frozenset()
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
     for row in disk["classes"]:
         conjunction = (
diff --git a/tests/test_cycle8_post_sanitizer_sequences.py b/tests/test_cycle8_post_sanitizer_sequences.py
index 5e18dba2..eeacf451 100644
--- a/tests/test_cycle8_post_sanitizer_sequences.py
+++ b/tests/test_cycle8_post_sanitizer_sequences.py
@@ -80,8 +80,8 @@ def test_post_sanitizer_sequences_has_no_conjunction_survivor() -> None:
     assert by_id["partial_sanitizer_remainder"]["product"] == "FAIL"
     assert by_id["font_gsub_ligature_sequence"]["required_sanitizers"] == "FAIL"
     assert mix_is_product_publishable() is False
-    assert process_text("I do not agree.") == "I do not agree."
-    assert product_approved_carriers_v1() == frozenset()
+    assert process_text("I do not agree.") == apply_letter_alternating_mix("I do not agree.")
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
     for row in disk["classes"]:
         conjunction = (
diff --git a/tests/test_cycle8_second_model_transfer.py b/tests/test_cycle8_second_model_transfer.py
index 97f6be1a..f0188f8e 100644
--- a/tests/test_cycle8_second_model_transfer.py
+++ b/tests/test_cycle8_second_model_transfer.py
@@ -65,4 +65,4 @@ def test_distilgpt2_n16_is_second_model_hypothesis_not_confirmation() -> None:
         assert sha256_file(root / name) == digest
     assert_mix_second_model_transfer_committed()
     assert release_transform_registry().rules == ()
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
diff --git a/tests/test_cycle8_threat_model_audit.py b/tests/test_cycle8_threat_model_audit.py
index 92dc7715..8e6d8a8c 100644
--- a/tests/test_cycle8_threat_model_audit.py
+++ b/tests/test_cycle8_threat_model_audit.py
@@ -260,7 +260,7 @@ def test_gate_findings_do_not_authorize_the_product():
     assert disk["product_authorized"] is False
     assert disk["mix_sanitizer_gate"] == "FAIL"
     assert disk["proposed_gate_v2"]["status"] == "proposal_only_not_active"
-    assert product_approved_carriers_v1() == frozenset()
+    assert product_approved_carriers_v1() == frozenset({0x034F, 0xFE00})
     assert release_transform_registry().rules == ()
 
 
diff --git a/tests/test_install_release_hardening.py b/tests/test_install_release_hardening.py
index 22761e07..c6b67227 100644
--- a/tests/test_install_release_hardening.py
+++ b/tests/test_install_release_hardening.py
@@ -68,7 +68,7 @@ def test_unix_installer_uses_tagged_release_checksum_and_does_not_start_cli() ->
     assert UNIX_INSTALLER.stat().st_mode & 0o111
     assert "releases/download" in text
     assert "SHA256SUMS" in text
-    assert "v0.3.0" in text
+    assert "v0.4.0" in text
     assert "main.zip" not in text
     assert "force-reinstall" not in text
     assert not any(line.strip().startswith("sudo") for line in text.splitlines())
@@ -82,7 +82,7 @@ def test_windows_installer_uses_tagged_release_checksum_and_does_not_start_cli()
     text = WINDOWS_INSTALLER.read_text(encoding="utf-8")
     assert "releases/download" in text
     assert "SHA256SUMS" in text
-    assert "v0.3.0" in text
+    assert "v0.4.0" in text
     assert "main.zip" not in text
     assert "force-reinstall" not in text
     assert "winget install" not in text
@@ -99,7 +99,6 @@ def test_install_docs_do_not_recommend_live_main_or_pipe_installers() -> None:
         assert "|sh" not in text
         assert "| iex" not in text
         assert "irm https" not in text
-        assert "releases/download/v0.3.0" in text
-        assert "fuckmark-0.3.0-py3-none-any.whl" in text
+        assert "releases/download/v0.4.0" in text
+        assert "fuckmark-0.4.0-py3-none-any.whl" in text
         assert "SHA256SUMS" in text
-        assert "cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325" in text
diff --git a/tests/test_product_authorization.py b/tests/test_product_authorization.py
new file mode 100644
index 00000000..f615b9d1
--- /dev/null
+++ b/tests/test_product_authorization.py
@@ -0,0 +1,53 @@
+from pathlib import Path
+
+from fuckmark.cli import RELEASE_CLI_ALGORITHM_VERSION, process_text
+from fuckmark.cycle8.gate_v2 import (
+    CYCLE8_PUBLISHABILITY_GATE_V2_HASH,
+    GATE_V2_STATUS_AUTHORIZED,
+    assert_gate_v2_committed,
+    load_gate_v2,
+)
+from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
+from fuckmark.hashing import sha256_json
+from fuckmark.product.authorization import (
+    PRODUCT_AUTHORIZATION_HASH,
+    PRODUCT_AUTHORIZATION_PATH,
+    PRODUCT_AUTHORIZATION_VERSION,
+    assert_product_authorization_committed,
+    load_product_authorization,
+    product_authorization_payload,
+)
+from fuckmark.product.visible_projection import product_approved_carriers_v1, project_visible_v1
+from fuckmark.transforms.registry import release_transform_registry
+
+
+def test_product_authorization_spec_is_committed_and_live() -> None:
+    assert Path(PRODUCT_AUTHORIZATION_PATH).is_file()
+    assert_product_authorization_committed()
+    disk = load_product_authorization()
+    live = product_authorization_payload()
+    assert disk == live
+    body = {key: value for key, value in disk.items() if key != "authorization_hash"}
+    assert disk["authorization_hash"] == sha256_json(body) == PRODUCT_AUTHORIZATION_HASH
+    assert disk["algorithm_version"] == PRODUCT_AUTHORIZATION_VERSION
+    assert disk["product_authorized"] is True
+    assert disk["mechanism_id"] == "u034f-ufe00-letter-alt-v1"
+    assert disk["cli_algorithm_version"] == RELEASE_CLI_ALGORITHM_VERSION == "release-cli-v5"
+    assert disk["mix_sanitizer_gate_v1"] == "FAIL"
+    assert disk["required_sanitizer_bundle_not_weakened"] is True
+    assert disk["release_registry_empty"] is True
+    assert disk["identities"]["gate_v2_hash"] == CYCLE8_PUBLISHABILITY_GATE_V2_HASH
+    assert disk["live"]["process_text_equals_mix"] is True
+    assert_gate_v2_committed()
+    gate = load_gate_v2()
+    assert gate["status"] == GATE_V2_STATUS_AUTHORIZED
+    assert gate["product_authorized"] is True
+    assert release_transform_registry().rules == ()
+    assert product_approved_carriers_v1() == frozenset(LETTER_MIX_APPROVED_CARRIERS)
+    source = "I do not agree."
+    applied = process_text(source)
+    assert applied == apply_letter_alternating_mix(source)
+    assert project_visible_v1(applied) == source
+    assert process_text("123.") == "123."
+    assert process_text("I do not agree " + chr(0x00E9) + ".") == "I do not agree " + chr(0x00E9) + "."
+    assert process_text(applied) == applied
diff --git a/tests/test_product_encodings.py b/tests/test_product_encodings.py
index 102e610f..2a46f2e7 100644
--- a/tests/test_product_encodings.py
+++ b/tests/test_product_encodings.py
@@ -34,6 +34,6 @@ def test_mix_payload_roundtrips_utf8_and_is_unsupported_on_latin1() -> None:
     assert encoding_roundtrip_survives(transformed, "ascii") is False
     assert encoding_roundtrip_survives(transformed, "cp1252") is False
     assert encoding_roundtrip_survives(source, "latin-1") is True
-    assert process_text(source) == source
+    assert process_text(source) == apply_letter_alternating_mix(source)
     assert transformed != source
     assert all(chr(codepoint) in transformed for codepoint in LETTER_MIX_APPROVED_CARRIERS)
diff --git a/tests/test_product_search.py b/tests/test_product_search.py
index 299fe1ec..ac025a14 100644
--- a/tests/test_product_search.py
+++ b/tests/test_product_search.py
@@ -13,9 +13,10 @@ def test_visible_search_finds_do_not_after_letter_mix() -> None:
     assert project_visible_v1(transformed, LETTER_MIX_APPROVED_CARRIERS) == source
 
 
-def test_product_authorized_search_does_not_strip_unauthorized_mix_carriers() -> None:
+def test_product_authorized_search_strips_mix_carriers_by_default() -> None:
     source = "I do not agree."
     transformed = apply_letter_alternating_mix(source)
-    assert product_approved_carriers_v1() == frozenset()
-    assert visible_contains(transformed, "do not") is False
+    assert product_approved_carriers_v1() == frozenset(LETTER_MIX_APPROVED_CARRIERS)
+    assert visible_contains(transformed, "do not") is True
     assert visible_contains(source, "do not") is True
+    assert raw_codepoint_contains(transformed, "do not") is False
diff --git a/tests/test_product_visible_invariance.py b/tests/test_product_visible_invariance.py
index c6b4abe8..72823d01 100644
--- a/tests/test_product_visible_invariance.py
+++ b/tests/test_product_visible_invariance.py
@@ -84,7 +84,9 @@ def test_visible_projection_accepts_approved_carrier_insertions_only() -> None:
     assert is_carrier_insertion_v1(original, transformed, (0x034F,))
     assert project_visible_v1(transformed, (0x034F,)) == original
     assert validate_user_visible_invariants(original, transformed, (0x034F,)).status is InvariantStatus.PASS
-    assert validate_user_visible_invariants(original, transformed).status is InvariantStatus.FAIL
+    assert validate_user_visible_invariants(original, transformed).status is InvariantStatus.PASS
+    unauthorized = "I do \u200cnot agree."
+    assert validate_user_visible_invariants(original, unauthorized).status is InvariantStatus.FAIL
 
 
 def test_product_registry_refuses_visible_edit_rules() -> None:
diff --git a/tests/test_project_identity.py b/tests/test_project_identity.py
index 01404753..f851c18d 100644
--- a/tests/test_project_identity.py
+++ b/tests/test_project_identity.py
@@ -4,13 +4,13 @@
 import fuckmark
 
 
-def test_project_identity_is_fuckmark_v030() -> None:
+def test_project_identity_is_fuckmark_v040() -> None:
     root = Path(__file__).resolve().parents[1]
     project = tomllib.loads((root / "pyproject.toml").read_text(encoding="utf-8"))["project"]
     assert project["name"] == "fuckmark"
-    assert project["version"] == "0.3.0"
+    assert project["version"] == "0.4.0"
     assert fuckmark.__project_name__ == "FuckMark"
-    assert fuckmark.__version__ == "0.3.0"
+    assert fuckmark.__version__ == "0.4.0"
 
 
 def test_legacy_project_identity_is_absent_outside_immutable_spec() -> None:
diff --git a/tests/test_synthid_smoke.py b/tests/test_synthid_smoke.py
index 8d9ced1b..72220675 100644
--- a/tests/test_synthid_smoke.py
+++ b/tests/test_synthid_smoke.py
@@ -9,6 +9,7 @@
     run_synthid_smoke,
 )
 from fuckmark.hashing import sha256_text
+from fuckmark.product.visible_projection import project_visible_v1
 from fuckmark.transforms.registry import historical_visible_edit_transform_registry
 
 
@@ -44,8 +45,9 @@ def generate(self, prompt: str, seed: int, *, watermarked: bool) -> str:
     def score(self, text: str) -> float:
         if self.score_guard is not None:
             self.score_guard()
-        transformed = "don't" in text and "can't" in text
-        if text.startswith("WATERMARKED"):
+        visible = project_visible_v1(text)
+        transformed = "don't" in visible and "can't" in visible
+        if visible.startswith("WATERMARKED"):
             return 0.15 if transformed else 0.90
         return 0.18 if transformed else 0.20
 
@@ -71,10 +73,11 @@ def test_synthid_smoke_measures_paired_watermark_degradation_and_control_shift()
     assert report.summary.mean_watermark_score_drop == pytest.approx(0.0)
     assert report.summary.median_watermark_score_drop == pytest.approx(0.0)
     assert report.summary.mean_control_score_shift == pytest.approx(0.0)
-    assert report.summary.control_transform_rate == 0.0
-    assert report.summary.watermark_transform_rate == 0.0
-    assert not any(value.watermark_changed for value in report.results)
-    assert not any(value.control_changed for value in report.results)
+    assert report.summary.control_transform_rate == 1.0
+    assert report.summary.watermark_transform_rate == 1.0
+    assert all(value.watermark_changed for value in report.results)
+    assert all(value.control_changed for value in report.results)
+    assert not any("don't" in project_visible_v1(value.watermark_transformed_text) for value in report.results)
 
 
 def test_historical_visible_edit_smoke_still_contracts_when_requested_explicitly() -> None:
diff --git a/tools/install/unix.sh b/tools/install/unix.sh
index 246dae65..6a4b19ab 100755
--- a/tools/install/unix.sh
+++ b/tools/install/unix.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 set -eu
 
-RELEASE_TAG="${FUCKMARK_RELEASE_TAG:-v0.3.0}"
+RELEASE_TAG="${FUCKMARK_RELEASE_TAG:-v0.4.0}"
 PACKAGE_VERSION="${RELEASE_TAG#v}"
 WHEEL_NAME="fuckmark-${PACKAGE_VERSION}-py3-none-any.whl"
 RELEASE_BASE="https://github.com/byte271/FuckMark/releases/download/${RELEASE_TAG}"
diff --git a/tools/install/windows.ps1 b/tools/install/windows.ps1
index 6bc9c0cc..52709bbe 100644
--- a/tools/install/windows.ps1
+++ b/tools/install/windows.ps1
@@ -2,7 +2,7 @@ $ErrorActionPreference = "Stop"
 $ProgressPreference = "SilentlyContinue"
 [Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
 
-$ReleaseTag = if ($env:FUCKMARK_RELEASE_TAG) { $env:FUCKMARK_RELEASE_TAG } else { "v0.3.0" }
+$ReleaseTag = if ($env:FUCKMARK_RELEASE_TAG) { $env:FUCKMARK_RELEASE_TAG } else { "v0.4.0" }
 $PackageVersion = $ReleaseTag.TrimStart("v")
 $WheelName = "fuckmark-$PackageVersion-py3-none-any.whl"
 $ReleaseBase = "https://github.com/byte271/FuckMark/releases/download/$ReleaseTag"
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index 971110be..f6a9c440 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -9,9 +9,11 @@
 import venv
 from pathlib import Path
 
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+
 
 EXPECTED_INPUT = "I do not agree and I cannot stay.\n"
-EXPECTED_OUTPUT = "I do not agree and I cannot stay.\n"
+EXPECTED_OUTPUT = apply_letter_alternating_mix(EXPECTED_INPUT)
 PROJECT_ROOT = Path(__file__).resolve().parents[1]
 PROJECT_VERSION = tomllib.loads((PROJECT_ROOT / "pyproject.toml").read_text(encoding="utf-8"))["project"]["version"]
 
@@ -60,7 +62,7 @@ def _verify_artifact(artifact: Path) -> None:
             if not command.is_file():
                 raise RuntimeError(f"missing installed console command: {command.name}")
             version = _run([str(command), "--version"], capture_output=True).stdout
-            if f"FuckMark {PROJECT_VERSION}" not in version or "release-cli-v4" not in version:
+            if f"FuckMark {PROJECT_VERSION}" not in version or "release-cli-v5" not in version:
                 raise RuntimeError(f"unexpected version output from {command.name}: {version!r}")
             transformed = _run(
                 [str(command), "--stdin"],
diff --git a/uv.lock b/uv.lock
index 3a7e12c5..ef33c724 100644
--- a/uv.lock
+++ b/uv.lock
@@ -111,7 +111,7 @@ wheels = [
 
 [[package]]
 name = "fuckmark"
-version = "0.3.0"
+version = "0.4.0"
 source = { editable = "." }
 
 [package.optional-dependencies]

From 057fb190018955b2b3aebfd8e4e2660edaee202b Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 07:41:39 +0000
Subject: [PATCH 23/28] Load mix from the source tree in the release-install
 verifier.

Package E2E and the readiness baseline run tools/verify_release_install.py
before installing fuckmark. Insert the repository root on sys.path so the
expected payload comes from apply_letter_alternating_mix instead of failing
with ModuleNotFoundError.

Co-authored-by: Byte271 
---
 tests/test_install_release_hardening.py | 24 ++++++++++++++++++++++++
 tools/verify_release_install.py         |  6 ++++--
 2 files changed, 28 insertions(+), 2 deletions(-)

diff --git a/tests/test_install_release_hardening.py b/tests/test_install_release_hardening.py
index c6b67227..a1f72146 100644
--- a/tests/test_install_release_hardening.py
+++ b/tests/test_install_release_hardening.py
@@ -1,7 +1,11 @@
+import os
+import subprocess
+import sys
 from pathlib import Path
 
 
 ROOT = Path(__file__).resolve().parents[1]
+VERIFY_RELEASE_INSTALL = ROOT / "tools" / "verify_release_install.py"
 WORKFLOWS = ROOT / ".github" / "workflows"
 RELEASE_WORKFLOW = WORKFLOWS / "release-engineering.yml"
 UNIX_INSTALLER = ROOT / "tools" / "install" / "unix.sh"
@@ -91,6 +95,26 @@ def test_windows_installer_uses_tagged_release_checksum_and_does_not_start_cli()
     assert "Command: fuckmark --help" in text
 
 
+def test_verify_release_install_loads_mix_from_repository_root() -> None:
+    text = VERIFY_RELEASE_INSTALL.read_text(encoding="utf-8")
+    assert "sys.path.insert(0, str(PROJECT_ROOT))" in text
+    assert text.index("PROJECT_ROOT = Path") < text.index("from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix")
+
+
+def test_verify_release_install_imports_under_isolated_interpreter() -> None:
+    completed = subprocess.run(
+        [sys.executable, "-I", str(VERIFY_RELEASE_INSTALL)],
+        cwd=ROOT,
+        env={**os.environ, "PYTHONPATH": ""},
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+    assert completed.returncode != 0
+    assert "ModuleNotFoundError" not in completed.stderr
+    assert "usage: verify_release_install.py DIST_DIRECTORY" in completed.stderr
+
+
 def test_install_docs_do_not_recommend_live_main_or_pipe_installers() -> None:
     for relative in ("README.md", "docs/install.md"):
         text = (ROOT / relative).read_text(encoding="utf-8")
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index f6a9c440..4ad27e1b 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -9,12 +9,14 @@
 import venv
 from pathlib import Path
 
-from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 
+PROJECT_ROOT = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(PROJECT_ROOT))
+
+from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
 
 EXPECTED_INPUT = "I do not agree and I cannot stay.\n"
 EXPECTED_OUTPUT = apply_letter_alternating_mix(EXPECTED_INPUT)
-PROJECT_ROOT = Path(__file__).resolve().parents[1]
 PROJECT_VERSION = tomllib.loads((PROJECT_ROOT / "pyproject.toml").read_text(encoding="utf-8"))["project"]["version"]
 
 

From f05a7b85fffabbfad732395eb1c05d7ff7f7c3cf Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 07:53:20 +0000
Subject: [PATCH 24/28] Emit UTF-8 mix on Windows stdio instead of failing on
 cp1252.

Package E2E / windows-latest exited 1 from fuckmark.exe --stdin after
authorization because U+034F and U+FE00 cannot encode to the default
console codec. Reconfigure stdio to UTF-8, fall back to writing UTF-8
bytes, and decode the release-install verifier as UTF-8.

Co-authored-by: Byte271 
---
 CHANGELOG.md                            |  2 +-
 fuckmark/cli.py                         | 37 +++++++++++++++++++++++--
 tests/test_cli.py                       | 14 +++++++++-
 tests/test_install_release_hardening.py |  3 ++
 tools/verify_release_install.py         | 30 ++++++++++++++------
 5 files changed, 74 insertions(+), 12 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 085ed1e0..157b79ae 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 ## v0.4.0 — Gate v2 product authorization
 
-- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection.
+- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection. Standard input and output are forced to UTF-8 so Windows Package E2E can emit mix (U+034F / U+FE00) instead of failing on cp1252 stdout.
 - Advanced the project version to 0.4.0. Do not retag `v0.3.0`. The historical identity CLI remains at that tag.
 - Recorded product authorization spec `cycle8-product-authorization-v1`. Gate v2 status is `confirmed_and_product_authorized`. The Cycle 8 v1 mix publishability report stays `product_publishable: false` with sanitizer FAIL. Mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots. The v1 visible-invariance contract is not rewritten.
 - Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index 536c04b2..b11c6cfe 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -213,6 +213,37 @@ def _same_path(left: str, right: str) -> bool:
     return Path(left).expanduser().resolve(strict=False) == Path(right).expanduser().resolve(strict=False)
 
 
+def _ensure_utf8(stream: TextIO) -> None:
+    reconfigure = getattr(stream, "reconfigure", None)
+    if reconfigure is None:
+        return
+    encoding = getattr(stream, "encoding", None)
+    if isinstance(encoding, str) and encoding.replace("-", "").casefold() == "utf8":
+        return
+    try:
+        reconfigure(encoding="utf-8", errors="strict")
+    except (OSError, ValueError, AttributeError):
+        return
+
+
+def _write_stdout_utf8(output_stream: TextIO, text: str) -> None:
+    try:
+        output_stream.write(text)
+        output_stream.flush()
+        return
+    except UnicodeError:
+        pass
+    buffer = getattr(output_stream, "buffer", None)
+    if buffer is None:
+        raise ValueError("standard output cannot encode UTF-8 product payload")
+    try:
+        output_stream.flush()
+    except UnicodeError:
+        pass
+    buffer.write(text.encode("utf-8"))
+    buffer.flush()
+
+
 def _write_file_atomic(path_value: str, text: str) -> None:
     target = Path(path_value).expanduser()
     parent = target.parent
@@ -242,8 +273,7 @@ def _write_file_atomic(path_value: str, text: str) -> None:
 
 def _write_result(text: str, output_path: str | None, output_stream: TextIO) -> None:
     if output_path is None or output_path == "-":
-        output_stream.write(text)
-        output_stream.flush()
+        _write_stdout_utf8(output_stream, text)
         return
     _write_file_atomic(output_path, text)
 
@@ -269,6 +299,9 @@ def main(
     source = sys.stdin if input_stream is None else input_stream
     output = sys.stdout if output_stream is None else output_stream
     errors = sys.stderr if error_stream is None else error_stream
+    _ensure_utf8(source)
+    _ensure_utf8(output)
+    _ensure_utf8(errors)
 
     try:
         require_supported_product_encoding(arguments.encoding)
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 9d49424a..003660cb 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -1,4 +1,4 @@
-from io import StringIO
+from io import BytesIO, StringIO, TextIOWrapper
 from pathlib import Path
 import sys
 import tomllib
@@ -233,6 +233,18 @@ def test_cli_refuses_to_overwrite_its_input_file(tmp_path: Path) -> None:
     assert source.read_text(encoding="utf-8") == "I do not agree.\n"
 
 
+def test_cli_writes_mix_when_stdio_starts_as_cp1252() -> None:
+    raw_out = BytesIO()
+    source = TextIOWrapper(BytesIO(b"I do not agree.\n"), encoding="cp1252", newline="")
+    output = TextIOWrapper(raw_out, encoding="cp1252", newline="")
+    errors = StringIO()
+    status = main(source, output, argv=("--stdin",), error_stream=errors)
+    assert status == 0
+    assert errors.getvalue() == ""
+    output.flush()
+    assert raw_out.getvalue() == apply_letter_alternating_mix("I do not agree.\n").encode("utf-8")
+
+
 def test_cli_automatically_uses_stream_mode_for_a_pipe(monkeypatch) -> None:
     source = StringIO("I do not agree.\n")
     output = StringIO()
diff --git a/tests/test_install_release_hardening.py b/tests/test_install_release_hardening.py
index a1f72146..3a21618a 100644
--- a/tests/test_install_release_hardening.py
+++ b/tests/test_install_release_hardening.py
@@ -99,6 +99,9 @@ def test_verify_release_install_loads_mix_from_repository_root() -> None:
     text = VERIFY_RELEASE_INSTALL.read_text(encoding="utf-8")
     assert "sys.path.insert(0, str(PROJECT_ROOT))" in text
     assert text.index("PROJECT_ROOT = Path") < text.index("from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix")
+    assert 'kwargs.setdefault("encoding", "utf-8")' in text
+    assert '"PYTHONIOENCODING": "utf-8"' in text
+    assert '"PYTHONUTF8": "1"' in text
 
 
 def test_verify_release_install_imports_under_isolated_interpreter() -> None:
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index 4ad27e1b..bc4446d8 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -21,6 +21,7 @@
 
 
 def _run(command: list[str], **kwargs) -> subprocess.CompletedProcess[str]:
+    kwargs.setdefault("encoding", "utf-8")
     return subprocess.run(command, text=True, check=True, **kwargs)
 
 
@@ -55,7 +56,12 @@ def _verify_artifact(artifact: Path) -> None:
         root = Path(value)
         venv.EnvBuilder(with_pip=True).create(root)
         python = _venv_python(root)
-        environment = {**os.environ, "PIP_CACHE_DIR": str(root / "pip-cache")}
+        environment = {
+            **os.environ,
+            "PIP_CACHE_DIR": str(root / "pip-cache"),
+            "PYTHONUTF8": "1",
+            "PYTHONIOENCODING": "utf-8",
+        }
         _run(
             [str(python), "-m", "pip", "install", "--disable-pip-version-check", str(artifact)],
             env=environment,
@@ -63,16 +69,24 @@ def _verify_artifact(artifact: Path) -> None:
         for command in _venv_commands(root):
             if not command.is_file():
                 raise RuntimeError(f"missing installed console command: {command.name}")
-            version = _run([str(command), "--version"], capture_output=True).stdout
+            version = _run([str(command), "--version"], capture_output=True, env=environment).stdout
             if f"FuckMark {PROJECT_VERSION}" not in version or "release-cli-v5" not in version:
                 raise RuntimeError(f"unexpected version output from {command.name}: {version!r}")
-            transformed = _run(
-                [str(command), "--stdin"],
-                input=EXPECTED_INPUT,
-                capture_output=True,
-            )
+            try:
+                transformed = _run(
+                    [str(command), "--stdin"],
+                    input=EXPECTED_INPUT,
+                    capture_output=True,
+                    env=environment,
+                )
+            except subprocess.CalledProcessError as error:
+                raise RuntimeError(
+                    f"installed CLI failed for {command.name}: stdout={error.stdout!r} stderr={error.stderr!r}"
+                ) from error
             if transformed.stdout != EXPECTED_OUTPUT or transformed.stderr:
-                raise RuntimeError(f"installed CLI failed for {command.name}")
+                raise RuntimeError(
+                    f"installed CLI failed for {command.name}: stdout={transformed.stdout!r} stderr={transformed.stderr!r}"
+                )
 
 
 def main() -> int:

From b1407ac25da8fcef622f55100c5f95fda1e5fa75 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 08:15:35 +0000
Subject: [PATCH 25/28] Send mix to Windows clip as UTF-16 instead of locale
 text.

Windows --copy was still invoking clip with text=True, so U+034F and
U+FE00 raised UnicodeEncodeError on cp1252 and fell into exit 2.
clip and clip.exe now receive UTF-16; other clipboard tools receive UTF-8.

Co-authored-by: Byte271 
---
 CHANGELOG.md      |  2 +-
 docs/cli.md       |  2 +-
 fuckmark/cli.py   | 35 ++++++++++++++++++++++---------
 tests/test_cli.py | 52 ++++++++++++++++++++++++++++++++++++++++++++++-
 4 files changed, 78 insertions(+), 13 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 157b79ae..d9bedbf8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 ## v0.4.0 — Gate v2 product authorization
 
-- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection. Standard input and output are forced to UTF-8 so Windows Package E2E can emit mix (U+034F / U+FE00) instead of failing on cp1252 stdout.
+- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection. Standard input and output are forced to UTF-8 so Windows Package E2E can emit mix (U+034F / U+FE00) instead of failing on cp1252 stdout. Windows `--copy` sends UTF-16 to `clip` / `clip.exe`; other clipboard tools receive UTF-8.
 - Advanced the project version to 0.4.0. Do not retag `v0.3.0`. The historical identity CLI remains at that tag.
 - Recorded product authorization spec `cycle8-product-authorization-v1`. Gate v2 status is `confirmed_and_product_authorized`. The Cycle 8 v1 mix publishability report stays `product_publishable: false` with sanitizer FAIL. Mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots. The v1 visible-invariance contract is not rewritten.
 - Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
diff --git a/docs/cli.md b/docs/cli.md
index 86492472..2c2a5045 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -85,7 +85,7 @@ Errors are written to standard error. Empty input is rejected. Clipboard command
 - Windows: `clip`
 - Linux: `wl-copy`, then `xclip`, then `xsel`, then `clip.exe`
 
-`--copy` copies the same bytes that are written (raw mix unless `--visible`).
+`--copy` copies the same bytes that are written (raw mix unless `--visible`). Windows `clip` / `clip.exe` receive UTF-16 so U+034F and U+FE00 survive cp1252 locales. Other clipboard tools receive UTF-8.
 
 ## Release boundary
 
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index b11c6cfe..752e2c1a 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -168,6 +168,10 @@ def _clipboard_commands() -> tuple[tuple[str, ...], ...]:
     )
 
 
+def _clipboard_uses_utf16(command: tuple[str, ...]) -> bool:
+    return Path(command[0]).name.casefold() in {"clip", "clip.exe"}
+
+
 def copy_to_clipboard(text: str) -> None:
     if not isinstance(text, str):
         raise TypeError("text must be a string")
@@ -177,17 +181,28 @@ def copy_to_clipboard(text: str) -> None:
         if shutil.which(executable) is None:
             continue
         try:
-            subprocess.run(
-                command,
-                input=text,
-                text=True,
-                check=True,
-                stdout=subprocess.DEVNULL,
-                stderr=subprocess.PIPE,
-                timeout=10,
-            )
+            if _clipboard_uses_utf16(command):
+                subprocess.run(
+                    command,
+                    input=text.encode("utf-16"),
+                    check=True,
+                    stdout=subprocess.DEVNULL,
+                    stderr=subprocess.PIPE,
+                    timeout=10,
+                )
+            else:
+                subprocess.run(
+                    command,
+                    input=text,
+                    text=True,
+                    encoding="utf-8",
+                    check=True,
+                    stdout=subprocess.DEVNULL,
+                    stderr=subprocess.PIPE,
+                    timeout=10,
+                )
             return
-        except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired) as error:
+        except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired, UnicodeError) as error:
             failures.append(f"{executable}:{type(error).__name__}")
     detail = ", ".join(failures) if failures else "no supported clipboard command found"
     raise ClipboardUnavailableError(detail)
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 003660cb..b85dc2ed 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -1,12 +1,20 @@
 from io import BytesIO, StringIO, TextIOWrapper
 from pathlib import Path
+import subprocess
 import sys
 import tomllib
 
 import pytest
 
 from fuckmark import __version__
-from fuckmark.cli import RELEASE_CLI_ALGORITHM_VERSION, main, process_text, read_pasted_text, transform_text
+from fuckmark.cli import (
+    RELEASE_CLI_ALGORITHM_VERSION,
+    copy_to_clipboard,
+    main,
+    process_text,
+    read_pasted_text,
+    transform_text,
+)
 from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
 from fuckmark.product.invariants import validate_user_visible_invariants
 from fuckmark.product.visible_projection import is_carrier_insertion_v1, product_approved_carriers_v1, project_visible_v1
@@ -105,6 +113,48 @@ def test_cli_reads_multiline_paste_until_ok_line() -> None:
     assert "Finish with :done on its own line" in output.getvalue()
 
 
+def test_copy_to_clipboard_sends_utf16_to_windows_clip(monkeypatch) -> None:
+    seen: dict[str, object] = {}
+    payload = apply_letter_alternating_mix("I do not agree.")
+
+    def fake_run(command, **kwargs):
+        seen["command"] = command
+        seen["kwargs"] = kwargs
+        return subprocess.CompletedProcess(command, 0)
+
+    monkeypatch.setattr("fuckmark.cli._clipboard_commands", lambda: (("clip",),))
+    monkeypatch.setattr("fuckmark.cli.shutil.which", lambda name: "C:\\Windows\\System32\\clip.exe")
+    monkeypatch.setattr("fuckmark.cli.subprocess.run", fake_run)
+    copy_to_clipboard(payload)
+    assert seen["command"] == ("clip",)
+    kwargs = seen["kwargs"]
+    assert isinstance(kwargs, dict)
+    assert kwargs["input"] == payload.encode("utf-16")
+    assert "text" not in kwargs
+    assert "encoding" not in kwargs
+
+
+def test_copy_to_clipboard_sends_utf8_to_unix_tools(monkeypatch) -> None:
+    seen: dict[str, object] = {}
+    payload = apply_letter_alternating_mix("I do not agree.")
+
+    def fake_run(command, **kwargs):
+        seen["command"] = command
+        seen["kwargs"] = kwargs
+        return subprocess.CompletedProcess(command, 0)
+
+    monkeypatch.setattr("fuckmark.cli._clipboard_commands", lambda: (("wl-copy",),))
+    monkeypatch.setattr("fuckmark.cli.shutil.which", lambda name: "/usr/bin/wl-copy")
+    monkeypatch.setattr("fuckmark.cli.subprocess.run", fake_run)
+    copy_to_clipboard(payload)
+    assert seen["command"] == ("wl-copy",)
+    kwargs = seen["kwargs"]
+    assert isinstance(kwargs, dict)
+    assert kwargs["input"] == payload
+    assert kwargs["text"] is True
+    assert kwargs["encoding"] == "utf-8"
+
+
 def test_cli_main_applies_mix_without_copying() -> None:
     source = StringIO("I do not agree.\nok\n")
     output = StringIO()

From 6116312c27a48296b40ddc073c9c7ecea387c5f8 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 14:29:07 +0000
Subject: [PATCH 26/28] Polish the public CLI and product docs for the 0.4.0
 release candidate.

Co-authored-by: Byte271 
---
 .github/workflows/ci.yml                |   3 +
 CHANGELOG.md                            |  16 +--
 README.md                               | 117 ++++++---------
 docs/cli.md                             |  97 +++++--------
 docs/cycle8/README.md                   |   2 +
 docs/cycle8/carrier-research.md         |  12 +-
 docs/cycle8/mix-freeze.md               |   2 +-
 docs/install.md                         |  59 ++++----
 docs/release.md                         |   2 +-
 fuckmark/cli.py                         | 181 ++++++++++++++++--------
 pyproject.toml                          |   5 +-
 tests/test_cli.py                       | 146 +++++++++++++++----
 tests/test_install_release_hardening.py |  14 +-
 tools/verify_release_install.py         |  23 +++
 14 files changed, 407 insertions(+), 272 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index ea4447f2..4a34974c 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -62,6 +62,9 @@ jobs:
           done
           test "$(printf 'I do not agree.\n' | FuckMark)" = "$expected_short"
           test "$(printf 'I do not agree.\n' | FuckMark --stdin --visible)" = "I do not agree."
+          expected_arg="$(python -c "from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix; import sys; sys.stdout.write(apply_letter_alternating_mix('I do not agree.'))")"
+          test "$(FuckMark 'I do not agree.')" = "$expected_arg"
+          FuckMark --help >/dev/null
 
   calibration-readiness:
     name: Frozen calibration readiness
diff --git a/CHANGELOG.md b/CHANGELOG.md
index d9bedbf8..08725ac6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,15 +1,11 @@
 # Changelog
 
-## v0.4.0 — Gate v2 product authorization
-
-- Authorized frozen mechanism `u034f-ufe00-letter-alt-v1` on the public CLI as `release-cli-v5`. `process_text` equals `apply_letter_alternating_mix` on the ordinary English ASCII domain. `release_transform_registry()` stays empty. Approved carriers are U+034F and U+FE00. Fail-closed identity remains for unsupported domain, no letter sites, already-present carriers, and apply errors. `--visible` writes the user-visible projection. Standard input and output are forced to UTF-8 so Windows Package E2E can emit mix (U+034F / U+FE00) instead of failing on cp1252 stdout. Windows `--copy` sends UTF-16 to `clip` / `clip.exe`; other clipboard tools receive UTF-8.
-- Advanced the project version to 0.4.0. Do not retag `v0.3.0`. The historical identity CLI remains at that tag.
-- Recorded product authorization spec `cycle8-product-authorization-v1`. Gate v2 status is `confirmed_and_product_authorized`. The Cycle 8 v1 mix publishability report stays `product_publishable: false` with sanitizer FAIL. Mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots. The v1 visible-invariance contract is not rewritten.
-- Recorded one-shot Gate v2 confirmation on preregistered seeds `1200000` / `1210000` / `1220000`: identity WM **188/192**, mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, UnicodeSanitizer mix **0/192**, carrier-free Unicode **182/192** (drop 6), worst mix max 0.526739 (gap 0.030360). Those seeds are spent. Do not rerun looking for zero. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
-- Formalized Cycle 8 publishability Gate v2 as `cycle8-publishability-gate-v2`. The product form is detector-after-sanitizer, not carrier fixed-point survival of every sanitizer. Mn-strip and default-ignorable-strip stay recorded as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`.
-- Recorded that the original H16 shaping scan executed one latin `A`/`B` context, not the advertised 12. The 286719 / 396 / intersection 0 figures remain VERIFIED for that A/B oracle. The scan tool now iterates all 12 advertised contexts. The corrected 12-context rescan is recorded: union 396, intersection 0, product-context union 396. It does not overwrite the frozen A/B artifact.
-- Reserved unspent Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` before generation, then generated them once. Do not reuse `830000` / `840000` / `850000`.
-- Gate v2 required sanitizers include frozen Cycle 7 `ws_collapse_nfkc_cf_strip` and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain UNSUPPORTED.
+## v0.4.0 — Product-authorized CLI
+
+- The public command now transforms ordinary English ASCII text. Visible words stay exactly the same. `fuckmark "text"`, pipes, files, and `--stdin` write the payload to stdout. Status and errors go to stderr. `--help` is enough to start. `--visible` prints the original visible text. `--copy` copies that output (UTF-16 on Windows `clip`, UTF-8 elsewhere). Unsupported Unicode is returned unchanged. Invalid UTF-8 and empty input fail closed with an actionable error.
+- Install from a clone with `python -m pip install .`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. Do not retag `v0.3.0`.
+- Verified Gate v2 confirmation (spent seeds `1200000` / `1210000` / `1220000`): mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, UnicodeSanitizer mix **0/192**. Google synthid-text 30-key GPT-2 mix remains **0/192**. This does not remove every watermark. Mn-strip and default-ignorable-strip still restore the source. English ASCII only.
+- `release_transform_registry()` stays empty. The frozen apply path is `u034f-ufe00-letter-alt-v1`. The v1 mix sanitizer gate stays FAIL. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
 
 ## v0.3.0 — Visible invariance, install and release hardening
 
diff --git a/README.md b/README.md
index 2ddf8211..955846aa 100644
--- a/README.md
+++ b/README.md
@@ -9,111 +9,88 @@
 
 # FuckMark
 
-FuckMark is a UTF-8 CLI that inserts a frozen invisible Unicode payload into ordinary English ASCII text without changing what the user sees.
+FuckMark is a UTF-8 command that inserts hidden Unicode into ordinary English ASCII text **without changing what you see**.
 
-**Product contract (Priority Zero):** `VISIBLE(original) == VISIBLE(transformed)`. The only allowed difference is insertion of the approved carriers U+034F and U+FE00. Semantic edits, contractions, homoglyphs, extra spaces, and renderer tricks are forbidden.
+On confirmation-scale GPT-2 / SynthID tests, transformed text was not flagged, visible words stayed identical, and output was deterministic.
 
-The public CLI (`release-cli-v5`) applies frozen mechanism `u034f-ufe00-letter-alt-v1`: even selected ASCII-letter sites receive U+034F, odd sites receive U+FE00, outside hard machine spans, cap 192. `release_transform_registry()` stays empty. Mix is not a greedy contraction catalog.
+Website: [mark.q1z.org](https://mark.q1z.org) · License: MIT
 
-This does **not** remove every AI watermark. It is not a claim against unknown, proprietary, or future detectors. Mn-strip and default-ignorable-strip still restore the source (`STRESS_ONLY` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE`). The Cycle 8 v1 mix sanitizer gate stays **FAIL**. `required_sanitizers_keep` is not weakened.
-
-**Current release: v0.4.0**  
-Website: [mark.q1z.org](https://mark.q1z.org)  
-License: MIT
-
-## What was verified
-
-Gate v2 (`cycle8-publishability-gate-v2`) is `VERIFIED` / `confirmed_and_product_authorized` on one-shot confirmation seeds `1200000` / `1210000` / `1220000` (spent):
-
-| Check | Result |
-| --- | --- |
-| Identity / pristine watermarked | **188/192** (floor 168) |
-| Mix watermarked after every required sanitizer | **0/192** |
-| Mix unwatermarked raw | **0/192** |
-| Exact visible invariance | **192/192** |
-| `lm-watermarking` UnicodeSanitizer mix | **0/192** |
-| Carrier-free identity plus that sanitizer | **182/192** (drop 6; max drop 16) |
-| Worst mix max score | 0.526739 vs threshold 0.557099 |
-
-Required sanitizers: raw, NFC, NFKC, Cf-strip, NFKC+Cf-strip, whitespace collapse, the Cycle 7 combination, and the real `jwkirchenbauer/lm-watermarking` UnicodeSanitizer default. Homoglyphs and truecase remain `UNSUPPORTED`.
-
-Existing cross-detector transfer (not rescored here): Google synthid-text 30-key GPT-2 mix **0/192** on seeds `1060000` / `1070000` / `1080000`. DistilGPT2 n=16 remains `HYPOTHESIS`. Mean versus Weighted Mean on the same Hugging Face GPT-2 adapter remains `HYPOTHESIS`.
+## Install
 
-Earlier mix-freeze confirmation on seeds `830000` / `840000` / `850000` is **0/192** raw transformed WM and is spent. Do not rerun looking for zero. Do not generate `950000`. Do not retag `v0.3.0`.
+Python 3.11 or newer. From this repository:
 
-See [`docs/cycle8/gate-v2.md`](docs/cycle8/gate-v2.md), [`docs/product-contract.md`](docs/product-contract.md), and `specs/cycle8/fuckmark-cycle8-product-authorization-v1.json`.
+```text
+python3 -m venv .venv
+.venv/bin/python -m pip install .
+.venv/bin/fuckmark --version
+```
 
-## Install
+That prints `FuckMark 0.4.0`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. See [`docs/install.md`](docs/install.md). Do not pipe `https://d.q1z.org/mark` into a shell. Do not retag `v0.3.0`.
 
-Python 3.11 or newer is required. Install a **tagged GitHub Release wheel** and check `SHA256SUMS.txt` from that same release. Do not pipe `https://d.q1z.org/mark` into a shell.
+## Use
 
 ```text
-python3 -m venv .venv
-.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.4.0/fuckmark-0.4.0-py3-none-any.whl
+printf 'I do not agree.\n' | fuckmark
+fuckmark "I do not agree."
+fuckmark notes.txt -o notes.fm.txt
+printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-Verify `SHA256SUMS.txt` from the same release before trusting the environment:
+You still read **I do not agree.** The bytes changed. The visible words did not.
 
 ```text
-https://github.com/byte271/FuckMark/releases/download/v0.4.0/SHA256SUMS.txt
+printf 'I do not agree.\n' | fuckmark | python3 -c "import sys; t=sys.stdin.read(); print(len(t.encode()), 'bytes')"
 ```
 
-The historical v0.3.0 identity-CLI wheel SHA-256 remains `cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325`. That tag is not retagged.
+`--copy` also puts that output on the clipboard. `fuckmark --help` is enough to start.
 
-See [`docs/install.md`](docs/install.md) for checksum verification, the in-repo installer, and Windows notes.
+## What it guarantees
 
-## CLI
+`VISIBLE(original) == VISIBLE(transformed)`. FuckMark only inserts U+034F and U+FE00 after eligible ASCII letters. It does not contract, paraphrase, homoglyph, or add spaces.
 
-The same entry point is installed as `FuckMark`, `Fuckmark`, and `fuckmark`.
+Supported input: tab, newline, carriage return, and ASCII space through tilde. Other Unicode is returned unchanged. Only UTF-8. URLs, code spans, paths, and similar machine text are left intact.
 
-```text
-FuckMark
-printf 'I do not agree.\n' | FuckMark
-FuckMark input.txt --output output.txt
-FuckMark input.txt --copy
-FuckMark --stdin --visible < input.txt
-```
+## Verified results
+
+Gate v2 confirmation (seeds `1200000` / `1210000` / `1220000`, spent):
+
+| Check | Result |
+| --- | --- |
+| Unmodified watermarked text still detected | **188/192** |
+| Transformed text after required sanitizers | **0/192** |
+| Transformed unwatermarked text | **0/192** |
+| Exact visible text | **192/192** |
+| Transformed text after `lm-watermarking` UnicodeSanitizer | **0/192** |
+| Carrier-free control after that sanitizer | **182/192** |
+
+Cross-detector transfer (not rescored here): Google synthid-text 30-key GPT-2 transformed text **0/192**. DistilGPT2 n=16 and mean-versus-weighted-mean remain `HYPOTHESIS`.
 
-Piped input writes the raw mix payload. `--visible` writes the user-visible projection (the original text when the transform succeeded). `--copy` copies whatever is written. The CLI does not emit contractions such as `I don't agree.`
+## Limitations
 
-Outside ordinary English ASCII (tab / LF / CR / U+0020..U+007E), or when there are no eligible letter sites, or when approved carriers are already present, the CLI fail-closes and returns the input unchanged.
+This does not remove every AI watermark. It is not a claim against unknown, proprietary, or future detectors.
 
-Useful options: `--version`, `--stdin`, `-o FILE`, `--copy`, `--visible`, `--encoding utf-8` (latin-1 / ascii / cp1252 are rejected), `-q`, `--no-color`.
+Stripping combining marks or default-ignorable characters restores the source. Those are recorded stress tests, not required product sanitizers. The older v1 mix sanitizer gate stays FAIL.
 
-See [`docs/cli.md`](docs/cli.md).
+English ASCII only. Cap 192 insertion sites.
 
-## Threat model
+## How it works
 
-- Output is ordinary Unicode plain text. No HTML, CSS, custom fonts, canvas, or hidden metadata.
-- Protected spans stay intact: fenced/inline code, markdown destinations, URLs, emails, IPs, dates, currency, percents, numbers, POSIX/Windows paths, CLI flags. Quote interiors are eligible. Math and citation spans are not hard.
-- Frozen product-contract sanitizers keep the mix. Mn-strip and default-ignorable-strip remove it and reconstruct the source. Those two are recorded stress tests, not required product sanitizers.
-- UTF-8 only. Latin-1 cannot roundtrip U+034F or U+FE00.
-- Raw codepoint search of the payload can miss ordinary English phrases. Product search uses the visible projection.
-- Clipboard is the Unicode string itself (macOS `pbcopy`, Windows `clip`, Linux `wl-copy` / `xclip` / `xsel` / `clip.exe`). Clipboard failure exits 2 after still writing the text.
+Eligible ASCII letters receive an alternating pair of invisible characters (U+034F, then U+FE00). The public command is `fuckmark` / `FuckMark` / `Fuckmark`. The transform is frozen. Older visible-edit catalogs stay out of the release path.
 
-## Historical research
+## Research / reproducibility
 
-v0.3.0 was the identity CLI (`release-cli-v4`) after the visible-invariance correction. The historical `v0.2.0` tag still applies contractions. Cycle 4 exact-survival confirmation (`CONFIRMATORY_IMPROVEMENT`, 8/192 to 5/192) and Cycle 6 / Cycle 7 visible-edit work remain scientific records and are **PRODUCT_DISQUALIFIED** for the public CLI.
+Detailed protocols, hashes, seed ledgers, and H9-H16 negatives live under [`docs/cycle8/`](docs/cycle8/README.md). Product contract: [`docs/product-contract.md`](docs/product-contract.md). CLI: [`docs/cli.md`](docs/cli.md). Release process: [`docs/release.md`](docs/release.md).
 
-Cycle 8 chronology, seed ledger, H9-H16 carrier search, and mix-freeze evidence live under [`docs/cycle8/`](docs/cycle8/README.md) and [`docs/seeds.md`](docs/seeds.md). Frozen contracts under `specs/` are immutable.
+Do not rerun spent confirmation seeds looking for zero. Do not generate `950000`.
 
-## Reproduce the research environment
+## Development
 
 ```text
 python -m pip install -e ".[dev]"
-python -m pip install -r requirements-smoke.txt
 python -m pytest
 ```
 
-## Release engineering
-
-v0.4.0 builds one wheel and one source distribution and verifies both on Linux, macOS, and Windows before publication. GitHub Release publication happens only from an immutable `v*` tag after the package matrix succeeds. See [`docs/release.md`](docs/release.md).
-
-## Links
-
-- Website: [mark.q1z.org](https://mark.q1z.org)
-- Repository: [github.com/byte271/FuckMark](https://github.com/byte271/FuckMark)
-- Issues: [github.com/byte271/FuckMark/issues](https://github.com/byte271/FuckMark/issues)
+Open SynthID research extras: `requirements-smoke.txt` and `python -m pip install -e ".[research]"`.
 
 ## License
 
diff --git a/docs/cli.md b/docs/cli.md
index 2c2a5045..1add8854 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -1,92 +1,67 @@
 # FuckMark CLI
 
-FuckMark v0.4.0 exposes the same command under `FuckMark`, `Fuckmark`, and `fuckmark`. The public CLI uses `release-cli-v5` and applies frozen letter-mix `u034f-ufe00-letter-alt-v1`.
+The same command is installed as `fuckmark`, `FuckMark`, and `Fuckmark`.
 
-The public CLI is intentionally smaller than the research harness. It does not load detector code, watermark keys, model weights, network services, Cycle 4/6/7 visible-edit schedulers, or quarantined U+200C diagnostics. It also does not apply contractions. `release_transform_registry()` stays empty; mix is not selected from a greedy rule catalog.
-
-**Priority Zero:** the CLI must not change user-visible text. The authorized transform only inserts U+034F and U+FE00 after eligible ASCII letters. `--visible` writes that projection.
-
-Install instructions for Windows, macOS, and Linux are in [`install.md`](install.md). The official website is [mark.q1z.org](https://mark.q1z.org). The product contract is [`product-contract.md`](product-contract.md).
-
-## Interactive use
-
-Run:
+It inserts hidden Unicode into ordinary English ASCII text. The words on screen do not change. Standard output is the transformed text so pipes stay script-friendly. Status and errors go to stderr.
 
 ```text
-FuckMark
-```
-
-Paste the source text and finish with `:done` on its own line. The legacy `ok` terminator remains accepted.
-
-Interactive mode reports the exact project version, processes the text deterministically, prints the raw mix payload, and reports how many product-authorized invisible insertions were applied. It does not copy to the clipboard unless `--copy` is passed. Color is emitted only when standard output is an interactive terminal. `--no-color` and the `NO_COLOR` environment variable disable ANSI output.
-
-## Stream use
-
-Piped input automatically selects stream mode:
-
-```sh
-printf 'I do not agree.\n' | FuckMark
+fuckmark --help
 ```
 
-Standard output is the raw mix payload, not `I don't agree.` Use `--visible` when you want the original visible line.
-
-Use `--stdin` or `--non-interactive` to request the same mode explicitly. Clipboard access is disabled unless `--copy` is provided.
-
-## File use
-
-The positional input path is decoded strictly as UTF-8. Latin-1, ASCII, and Windows-1252 are unsupported product encodings:
+## Examples
 
 ```text
-FuckMark input.txt
-FuckMark input.txt --output output.txt
-FuckMark input.txt --copy
-FuckMark --stdin --encoding latin-1   # rejected
+printf 'I do not agree.\n' | fuckmark
+fuckmark "I do not agree."
+fuckmark notes.txt
+fuckmark notes.txt -o notes.fm.txt
+printf 'I do not agree.\n' | fuckmark --copy
+printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-Without `--output`, file-mode output is written to standard output. `--output -` also selects standard output. Named output files are written through an fsynced temporary file and atomically replaced. Input and output paths must differ.
+Piped or quoted input writes the hidden payload. `--visible` writes the original visible text. `--copy` also places whatever was written on the clipboard.
+
+Interactive mode (a TTY with no file, quoted text, or pipe): paste text, then a line with only `:done`. The payload still goes to stdout. The `ok` terminator still works.
 
 ## Options
 
 | Option | Behavior |
 | --- | --- |
-| `--version` | Print project, CLI, and release-registry identities. |
-| `--stdin`, `--non-interactive` | Read all standard input in explicit stream mode. |
-| `-o FILE`, `--output FILE` | Atomically write transformed UTF-8 text to a file. |
-| `--copy` | Also copy the written text to the platform clipboard. |
-| `--visible` | Write the user-visible projection of the product-authorized payload. |
-| `--encoding NAME` | Output encoding. Only `utf-8` is supported. `latin-1`, `ascii`, and `cp1252` are rejected. |
-| `-q`, `--quiet` | Hide interactive processing and completion messages. |
-| `--no-color` | Disable ANSI terminal color. |
+| `--version` | Print `FuckMark 0.4.0` plus internal algorithm ids. |
+| `--stdin` | Read all of standard input. |
+| `-o FILE`, `--output FILE` | Write UTF-8 output to FILE. |
+| `--copy` | Also copy the output to the clipboard. |
+| `--visible` | Print the visible text (no hidden characters). |
+| `--encoding NAME` | Only `utf-8`. `latin-1`, `ascii`, and `cp1252` are rejected. |
+| `-q`, `--quiet` | Hide stderr status in interactive mode. |
+| `--no-color` | Disable color on stderr. `NO_COLOR` does the same. |
 
-## Fail-closed identity
+`--non-interactive` is an alias of `--stdin`.
 
-The CLI returns the original text unchanged when:
+Quoted text that is not an existing file is transformed as a string. Existing files are read as UTF-8. A path-like argument that is missing (for example `notes.txt`) is an error, not a string. Invalid UTF-8 input is rejected.
 
-- the input is outside ordinary English ASCII v1 (tab / LF / CR / U+0020..U+007E);
-- no eligible ASCII letter sites remain after hard machine spans;
-- the source already contains U+034F or U+FE00;
-- apply, carrier-insertion, or visible-projection checks fail.
+## Supported input
 
-Hard machine spans: fenced/inline code, markdown destinations, URLs, emails, IPs, dates, currency, percents, numbers, POSIX/Windows paths, CLI flags. Quote interiors are eligible. Selected-site cap 192.
+Tab, newline, carriage return, and ASCII space through tilde. Other Unicode is returned unchanged (exit 0). Only UTF-8 files.
+
+Machine spans stay intact: fenced/inline code, markdown destinations, URLs, emails, IPs, dates, currency, percents, numbers, POSIX/Windows paths, CLI flags. Quote interiors are eligible. Cap 192 insertion sites.
+
+If the text is already transformed, or has no eligible letters, the CLI returns it unchanged.
 
 ## Exit status
 
 | Status | Meaning |
 | ---: | ---: |
-| 0 | Transformation and requested outputs succeeded. |
-| 1 | Input, transformation, or output validation failed. |
-| 2 | Transformation succeeded, but clipboard transfer failed. The transformed text is still written to the requested non-clipboard destination or printed as fallback output. |
+| 0 | Output was written. Unsupported input is returned unchanged. |
+| 1 | No input, bad file, unsupported encoding, or output could not be written. |
+| 2 | Transform succeeded, but clipboard copy failed. The text was still written. |
 
-Errors are written to standard error. Empty input is rejected. Clipboard commands are resolved locally and time out after ten seconds.
-
-## Platform clipboard commands
+## Clipboard
 
 - macOS: `pbcopy`
-- Windows: `clip`
+- Windows: `clip` (UTF-16)
 - Linux: `wl-copy`, then `xclip`, then `xsel`, then `clip.exe`
 
-`--copy` copies the same bytes that are written (raw mix unless `--visible`). Windows `clip` / `clip.exe` receive UTF-16 so U+034F and U+FE00 survive cp1252 locales. Other clipboard tools receive UTF-8.
-
-## Release boundary
+## Install
 
-Historical contraction, Cycle 6 spacing, Cycle 7 durable visible edits, detector scoring, experimental search, H12 control-mix, and the U+200C diagnostic registry remain outside automatic release behavior. The v1 mix sanitizer gate stays FAIL. Mn-strip and default-ignorable-strip remain recorded stress tests.
+See [`install.md`](install.md). Product contract: [`product-contract.md`](product-contract.md).
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
index 138db104..d8402d32 100644
--- a/docs/cycle8/README.md
+++ b/docs/cycle8/README.md
@@ -1,5 +1,7 @@
 # Cycle 8 — exact visible projection
 
+Product documentation is the repository README. This directory is research provenance: protocols, hashes, seed ledgers, and historical cycles.
+
 Cycle 7 is frozen as **visible-edit durability research**. It is **PRODUCT_DISQUALIFIED** even where detector snapshots looked interesting.
 
 Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode representation that leaves `VISIBLE(original)` identical to `VISIBLE(transformed)`.
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
index d119739d..c1599e00 100644
--- a/docs/cycle8/carrier-research.md
+++ b/docs/cycle8/carrier-research.md
@@ -1,5 +1,7 @@
 # Cycle 8 carrier research
 
+Live product (v0.4.0): the public CLI applies frozen letter-mix (`release-cli-v5`). This file is the Cycle 8 research record. Historical sections keep the labels they had when that work landed. See [`gate-v2.md`](gate-v2.md) for authorization.
+
 Labels: `VERIFIED`, `HYPOTHESIS`, `REJECTED`, `PRODUCT_DISQUALIFIED`, `HISTORICAL_ONLY`, `UNKNOWN`.
 
 ## H1. Normalization-stable non-Cf carrier
@@ -13,7 +15,7 @@ Labels: `VERIFIED`, `HYPOTHESIS`, `REJECTED`, `PRODUCT_DISQUALIFIED`, `HISTORICA
 
 GPT-2 tokenizer screen `VERIFIED` on the Cycle 8 fixture (tiktoken `gpt2`): inserting U+034F after ASCII word spaces changed token IDs (`ids_equal=false`, token-count delta +40) with suffix realignment of only one token. An 8-copy space run produced delta +208. U+200C also disrupts GPT-2 (delta +28) but remains Cf-fragile.
 
-Not product-authorized. Fixture compare on four ASCII texts is `VERIFIED` for visible projection (`20/20`) and for U+034F / U+FE00 survival under Cf-strip, NFKC, and `whitespace-collapse-v1`. Chromium `pre` screenshots: U+034F and U+FE00 are `VERIFIED` pixel-equal to the original; U+200C is `REJECTED` (PNG bytes differ). Detector-blind GPT-2 / SynthID looks on seeds `890000`, `900000`, and `910000` are `PROMISING_DEVELOPMENT` / `HYPOTHESIS` only (four watermarked pairs per seed). Prefer U+034F x1: x8 overflowed GPT-2's 1024-token context on seed `900000`. The public CLI still authorizes zero carriers.
+Not product-authorized as a space-carrier CLI. Fixture compare on four ASCII texts is `VERIFIED` for visible projection (`20/20`) and for U+034F / U+FE00 survival under Cf-strip, NFKC, and `whitespace-collapse-v1`. Chromium `pre` screenshots: U+034F and U+FE00 are `VERIFIED` pixel-equal to the original; U+200C is `REJECTED` (PNG bytes differ). Detector-blind GPT-2 / SynthID looks on seeds `890000`, `900000`, and `910000` are `PROMISING_DEVELOPMENT` / `HYPOTHESIS` only (four watermarked pairs per seed). Prefer U+034F x1: x8 overflowed GPT-2's 1024-token context on seed `900000`. This H1 arm is not the live CLI.
 
 ## H2. Carrier runs at space boundaries
 
@@ -29,17 +31,17 @@ Diagnostic rescore of seen corpora (not unseen): `960000` n=16 **0/16**, `930000
 
 A later system benchmark reserved seeds `980000` and `990000` before generation. Fresh letter-x1 is **0/128** raw transformed WM on those two independent 64-pair corpora, with space-x1 **1/128** on the same texts. Maximum fresh letter score is 0.554066 versus threshold 0.557099. That 0/128 is measurement, not confirmation, and must not be collapsed into the experimental 0/192. Formal confirmation readiness is `NOT_READY`. See `docs/cycle8/letter-system-benchmark.md`.
 
-Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Public CLI remains empty. Do not generate `950000`.
+Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Letter-x1 is not the live CLI. Do not generate `950000`.
 
 Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x1 was the previous strongest visible-invariant U+034F arm. The later mix arm below is stronger on fresh independent corpora.
 
 ## H11. Alternating U+034F / U+FE00 letter mix
 
-`VERIFIED` for one-shot mix confirmation 0/192 on the frozen GPT-2 / SynthID protocol. Still not product-authorized. Uniform CGJ repeats are masked by SynthID `valid_mask` on repeated 5-gram contexts. The mix arm places U+034F on even selected-site indexes and U+FE00 on odd indexes after ASCII letters, using raw unmerged hard machine spans instead of merged MATH+NUMBER protection. Quote interiors are allowed. URLs, numbers, code, and paths stay blocked.
+`VERIFIED` for one-shot mix confirmation 0/192 on the frozen GPT-2 / SynthID protocol. This H11 record is the freeze/confirmation history; Gate v2 later authorized the frozen mix. Uniform CGJ repeats are masked by SynthID `valid_mask` on repeated 5-gram contexts. The mix arm places U+034F on even selected-site indexes and U+FE00 on odd indexes after ASCII letters, using raw unmerged hard machine spans instead of merged MATH+NUMBER protection. Quote interiors are allowed. URLs, numbers, code, and paths stay blocked.
 
 Seeds `1020000` and `1030000` were reserved before generation. Fresh mix is **0/128** raw transformed WM, mix UW **0/128**, visible 256/256 on the detector rows, frozen sanitizers matching raw zeros. Worst fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on the same corpora is also 0/128 with worst max 0.527389. Letter-space on `1000000`+`1010000` remains **1/128**. Chromium `pre`/textarea/contenteditable were pixel-equal on the measured mix fixtures.
 
-Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. It is not product-authorized. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL; cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. See `docs/cycle8/mix-freeze.md` and `docs/cycle8/mix-publishability.md`.
+Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. This H11 record is not itself product authorization. Gate v2 later authorized the frozen mix. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL; cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. See `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, and `docs/cycle8/gate-v2.md`.
 
 ## H3-H8
 
@@ -70,7 +72,7 @@ DEL (U+007F) and C1 (U+0080..U+009F except U+0085) are 32 code points that:
 - round-trip through UTF-8, JSON, and latin-1;
 - fail the v1 product display-width proxy, which still counts `Cc` as width 1. Research width skips the eligible set. That is a proxy gap, not a visible-text change.
 
-The apply path `cc-del-c1-letter-alt-v1` uses the same letter sites as mix, cycling the 32 eligible controls instead of U+034F / U+FE00. Hard machine spans stay blocked. Quote interiors stay eligible. Cap 192. Public CLI remains empty. `product_approved_carriers_v1()` remains empty. Mix confirmation 0/192 is not transferred. Mix publishability sanitizer stays FAIL. Do not generate `950000`.
+The apply path `cc-del-c1-letter-alt-v1` uses the same letter sites as mix, cycling the 32 eligible controls instead of U+034F / U+FE00. Hard machine spans stay blocked. Quote interiors stay eligible. Cap 192. H12 is not authorized. Live approved carriers stay the mix pair, not this control set. Mix confirmation 0/192 is not transferred. Mix publishability sanitizer stays FAIL. Do not generate `950000`.
 
 Seen-corpus DeepMind 30-key diagnostic rescore of seed `920000` n=16: identity WM **16/16**, control-mix WM **0/16**, mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505337`. That look is `HYPOTHESIS`, seen, not independent generation, and not confirmation.
 
diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md
index b175372c..ad9160cc 100644
--- a/docs/cycle8/mix-freeze.md
+++ b/docs/cycle8/mix-freeze.md
@@ -49,4 +49,4 @@ Mn-strip and default-ignorable-strip remove the carriers. Assigned Unicode has n
 
 The five publishability gates in `docs/cycle8/mix-publishability.md` fail-close product promotion: mix is not product-publishable. Software compatibility now PASSes on the UTF-8 / visible-search product surface. Sanitizer and cross-detector gates still FAIL.
 
-Do not generate `950000`. The public CLI remains empty.
+Do not generate `950000`. Freeze-time public CLI remained empty. Live CLI is `release-cli-v5`.
diff --git a/docs/install.md b/docs/install.md
index 3c21b38e..1a8238f8 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -1,21 +1,31 @@
 # Installation
 
-Python 3.11 or newer is required. The public CLI applies frozen letter-mix `u034f-ufe00-letter-alt-v1` (`release-cli-v5`).
+Python 3.11 or newer. The public CLI is `fuckmark` / `FuckMark` / `Fuckmark` (`release-cli-v5`).
 
-Install only a GitHub Release wheel and check `SHA256SUMS.txt` from that same release. Do not pipe `https://d.q1z.org/mark` into a shell. That endpoint still installs live `main` without a checksum.
+Do not pipe `https://d.q1z.org/mark` into a shell.
 
-## Tagged wheel (recommended)
-
-After tag `v0.4.0` is published, install:
+## From this repository (works now)
 
 ```text
 python3 -m venv .venv
-.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.4.0/fuckmark-0.4.0-py3-none-any.whl
+.venv/bin/python -m pip install .
+.venv/bin/fuckmark --version
 ```
 
 On Windows, create the venv with `py -3.12 -m venv .venv` and use `.venv\Scripts\python.exe`.
 
-Download `SHA256SUMS.txt` from the same release and confirm the installed wheel digest before trusting the environment:
+After this tree is on `main`, `python3 -m pip install git+https://github.com/byte271/FuckMark.git` installs the same product. Until then, install from a clone.
+
+## Tagged wheel (after `v0.4.0` is published)
+
+The GitHub Release wheel is the checksummed install. It does not exist until the immutable `v0.4.0` tag and `workflow_dispatch` publication in [`release.md`](release.md).
+
+```text
+python3 -m venv .venv
+.venv/bin/python -m pip install https://github.com/byte271/FuckMark/releases/download/v0.4.0/fuckmark-0.4.0-py3-none-any.whl
+```
+
+Download `SHA256SUMS.txt` from the same release and confirm the wheel digest before trusting the environment:
 
 ```text
 https://github.com/byte271/FuckMark/releases/download/v0.4.0/SHA256SUMS.txt
@@ -31,17 +41,17 @@ That tag is not retagged.
 
 ## In-repo installer (tagged wheel + checksum)
 
-These scripts download the GitHub Release wheel, verify `SHA256SUMS.txt`, install into a user virtualenv, and print `fuckmark --help`. They do not start the CLI, do not use sudo, and do not install Python. They default to `v0.4.0`.
+These scripts download the GitHub Release wheel, verify `SHA256SUMS.txt`, install into a user virtualenv, and print `fuckmark --help`. They do not start the CLI, do not use sudo, and do not install Python. They default to `v0.4.0` and 404 until that release exists.
 
 Linux / macOS, from a clone:
 
-```sh
+```text
 sh tools/install/unix.sh
 ```
 
 Windows PowerShell, from a clone:
 
-```powershell
+```text
 powershell -ExecutionPolicy Bypass -File tools/install/windows.ps1
 ```
 
@@ -51,42 +61,29 @@ Optional override: `FUCKMARK_RELEASE_TAG=v0.4.0`.
 
 ```text
 fuckmark --version
+printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-For v0.4.0 the command must begin with:
-
-```text
-FuckMark 0.4.0
-```
-
-It also reports `release-cli-v5`. Transforming ordinary English ASCII inserts U+034F / U+FE00. `--visible` prints the original visible text.
+`--version` must begin with `FuckMark 0.4.0` and mention `release-cli-v5`. `--visible` must print `I do not agree.`
 
-## Install from a local clone
-
-```text
-python -m pip install .
-```
-
-For development and tests:
+## Development
 
 ```text
 python -m pip install -e ".[dev]"
+python -m pytest
 ```
 
-The core package has no runtime dependencies. Research workflows that reproduce open SynthID experiments install pinned model/runtime dependencies through `requirements-smoke.txt`. The H14 DejaVu font-metric scan, the H16 HarfBuzz shaping closure scan, and the H16 tokenizer probe use optional extra `research` (`fonttools`, `uharfbuzz`, `tokenizers`), none of which is a runtime dependency:
+Research extras (not required to run the CLI):
 
 ```text
 python -m pip install -e ".[research]"
+python -m pip install -r requirements-smoke.txt
 ```
 
-## Update
-
-Install a newer tagged wheel the same way and verify `FuckMark --version` against that tag. Do not follow a moving `main.zip`.
-
 ## Troubleshooting
 
 If the command is not found, open a new terminal so PATH updates load.
 
-On Linux, clipboard copying with `--copy` requires one of `wl-copy`, `xclip`, `xsel`, or `clip.exe`. The CLI still prints output if clipboard transfer is unavailable.
+On Linux, `--copy` needs `wl-copy`, `xclip`, `xsel`, or `clip.exe`. The CLI still prints the text if clipboard copy fails (exit 2).
 
-Website: [mark.q1z.org](https://mark.q1z.org). The website one-click installer is not the source of truth for this repository.
+Website: [mark.q1z.org](https://mark.q1z.org).
diff --git a/docs/release.md b/docs/release.md
index 0c8f7962..5452f73f 100644
--- a/docs/release.md
+++ b/docs/release.md
@@ -15,7 +15,7 @@ FuckMark v0.4.0 is the Gate v2 product-authorization release. The public CLI alg
 
 ## Required release sequence
 
-1. Merge this v0.4.0 branch to green `main`.
+1. Merge this v0.4.0 branch to green `main`. Clone install (`python -m pip install .`) already runs the product CLI from that tree. The GitHub Release wheel URL is valid only after the next two steps.
 2. On the resulting `main` push, rerun the cross-platform package matrix. That push must **not** create tags, publish a GitHub Release, or delete branches.
 3. Create and push the immutable `v0.4.0` tag on that merge commit yourself. The workflow never runs `git tag`. Do not tag a pull-request SHA if `main` will be a squash merge.
 4. Publish with `workflow_dispatch` and `publish_github_release=true` on that same commit. The job refuses to run unless `v0.4.0` already exists and points at the dispatch SHA. If the GitHub Release is missing, it uploads the verified wheel and sdist. It does not delete merged branches.
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index 752e2c1a..f8daf357 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -74,7 +74,7 @@ def process_text(text: str) -> str:
 
 
 def read_pasted_text(input_stream: TextIO, output_stream: TextIO) -> str:
-    output_stream.write("Paste text below. Finish with :done on its own line.\n\n")
+    output_stream.write("Paste text, then a line with only :done\n\n")
     output_stream.flush()
     lines: list[str] = []
     for raw_line in input_stream:
@@ -87,22 +87,30 @@ def read_pasted_text(input_stream: TextIO, output_stream: TextIO) -> str:
 
 def _parser() -> argparse.ArgumentParser:
     parser = argparse.ArgumentParser(
-        prog=__project_name__,
-        description="Apply FuckMark product-authorized invisible transforms without changing user-visible text.",
+        prog="fuckmark",
+        description=(
+            "FuckMark inserts hidden Unicode into ordinary English ASCII text "
+            "without changing the visible words."
+        ),
         epilog=(
             "Examples:\n"
-            "  FuckMark\n"
-            "  FuckMark --stdin < input.txt > output.txt\n"
-            "  FuckMark input.txt --output output.txt\n"
-            "  FuckMark input.txt --copy"
+            "  printf 'I do not agree.\\n' | fuckmark\n"
+            "  fuckmark \"I do not agree.\"\n"
+            "  fuckmark notes.txt -o notes.fm.txt\n"
+            "  fuckmark --stdin --copy < notes.txt\n"
+            "  fuckmark --stdin --visible < notes.fm.txt\n"
+            "\n"
+            "Supported input: tab, newline, carriage return, and ASCII space through tilde.\n"
+            "Other Unicode is returned unchanged. Only UTF-8 is supported.\n"
+            "Visible text stays the same. Use --visible to print that visible text."
         ),
         formatter_class=argparse.RawDescriptionHelpFormatter,
     )
     parser.add_argument(
-        "input_file",
+        "source",
         nargs="?",
-        metavar="FILE",
-        help="read UTF-8 text from FILE; use - for standard input",
+        metavar="TEXT_OR_FILE",
+        help="quoted text, or a UTF-8 file path; omit to read standard input; use - for stdin",
     )
     parser.add_argument(
         "--version",
@@ -117,23 +125,23 @@ def _parser() -> argparse.ArgumentParser:
         "--non-interactive",
         dest="stdin_mode",
         action="store_true",
-        help="read standard input and write only transformed text to standard output",
+        help="read all of standard input",
     )
     parser.add_argument(
         "-o",
         "--output",
         metavar="FILE",
-        help="atomically write UTF-8 output to FILE instead of standard output",
+        help="write UTF-8 output to FILE instead of standard output",
     )
     parser.add_argument(
         "--copy",
         action="store_true",
-        help="also copy the transformed text to the system clipboard",
+        help="also copy the output to the clipboard",
     )
     parser.add_argument(
         "--visible",
         action="store_true",
-        help="write the user-visible projection instead of the raw Unicode payload",
+        help="print the visible text (no hidden characters)",
     )
     parser.add_argument(
         "--encoding",
@@ -145,16 +153,52 @@ def _parser() -> argparse.ArgumentParser:
         "-q",
         "--quiet",
         action="store_true",
-        help="hide interactive status messages",
+        help="hide status messages on stderr",
     )
     parser.add_argument(
         "--no-color",
         action="store_true",
-        help="disable ANSI color in interactive output",
+        help="disable color on stderr",
     )
     return parser
 
 
+def _looks_like_missing_file(value: str) -> bool:
+    expanded = Path(value).expanduser()
+    if expanded.exists():
+        return False
+    separators = [os.sep]
+    if os.altsep:
+        separators.append(os.altsep)
+    if any(separator in value for separator in separators) or value.startswith("~"):
+        return True
+    suffix = expanded.suffix
+    return len(suffix) >= 2
+
+
+def _load_source_argument(value: str) -> str:
+    expanded = Path(value).expanduser()
+    if expanded.is_dir():
+        raise ValueError(f"{value} is a directory. Pass a UTF-8 text file or quote the text.")
+    if expanded.is_file():
+        return _read_file(str(expanded))
+    if _looks_like_missing_file(value):
+        raise ValueError(
+            f"file not found: {value}. Pass an existing UTF-8 file, or quote the text: fuckmark \"...\""
+        )
+    return value
+
+
+def _clipboard_hint(*, tool_failed: bool) -> str:
+    if sys.platform == "win32":
+        return "Windows clip.exe could not receive the Unicode payload."
+    if sys.platform == "darwin":
+        return "macOS pbcopy is missing or failed."
+    if tool_failed:
+        return "A clipboard tool ran but failed. On a desktop session retry --copy."
+    return "Install wl-copy, xclip, or xsel, then retry --copy."
+
+
 def _clipboard_commands() -> tuple[tuple[str, ...], ...]:
     if sys.platform == "darwin":
         return (("pbcopy",),)
@@ -220,8 +264,10 @@ def _styled(text: str, code: str, *, enabled: bool) -> str:
 def _read_file(path_value: str) -> str:
     try:
         return Path(path_value).expanduser().read_text(encoding="utf-8")
-    except (OSError, UnicodeError) as error:
-        raise ValueError(f"cannot read UTF-8 input file {path_value!r}: {error}") from error
+    except UnicodeError as error:
+        raise ValueError(f"cannot decode {path_value!r} as UTF-8: {error}") from error
+    except OSError as error:
+        raise ValueError(f"cannot read {path_value!r}: {error}") from error
 
 
 def _same_path(left: str, right: str) -> bool:
@@ -299,6 +345,11 @@ def _error(errors: TextIO, message: str) -> int:
     return 1
 
 
+def _status(errors: TextIO, message: str, *, enabled: bool, code: str) -> None:
+    errors.write(_styled(message, code, enabled=enabled) + "\n")
+    errors.flush()
+
+
 def main(
     input_stream: TextIO | None = None,
     output_stream: TextIO | None = None,
@@ -320,47 +371,58 @@ def main(
 
     try:
         require_supported_product_encoding(arguments.encoding)
-    except ValueError as error:
-        return _error(errors, str(error))
-    if arguments.stdin_mode and arguments.input_file not in (None, "-"):
-        return _error(errors, "FILE cannot be combined with --stdin")
+    except ValueError:
+        return _error(
+            errors,
+            "only UTF-8 is supported; latin-1, ascii, and cp1252 are rejected",
+        )
+
+    source_arg = arguments.source
+    wants_stdin = arguments.stdin_mode or source_arg == "-"
+    if wants_stdin and source_arg not in (None, "-"):
+        return _error(errors, "pass quoted text, a file, or --stdin, not both")
     if (
         arguments.output not in (None, "-")
-        and arguments.input_file not in (None, "-")
-        and _same_path(arguments.input_file, arguments.output)
+        and source_arg not in (None, "-")
+        and Path(source_arg).expanduser().is_file()
+        and _same_path(source_arg, arguments.output)
     ):
-        return _error(errors, "input and output paths must be different")
+        return _error(errors, "input and output files must be different")
 
     automatic_pipe = input_stream is None and not _is_tty(source)
-    batch_mode = arguments.stdin_mode or arguments.input_file is not None or automatic_pipe
+    literal_or_file = source_arg not in (None, "-") and not arguments.stdin_mode
+    batch_mode = wants_stdin or literal_or_file or automatic_pipe
     interactive = not batch_mode
-    color = interactive and _is_tty(output) and not arguments.no_color and "NO_COLOR" not in os.environ
+    color = _is_tty(errors) and not arguments.no_color and "NO_COLOR" not in os.environ
+    talk = interactive and not arguments.quiet
 
-    if interactive and not arguments.quiet:
-        output.write(_styled(f"{__project_name__} {__version__}", _ANSI_BOLD + _ANSI_BLUE, enabled=color))
-        output.write("\nProduct path: exact user-visible text preservation.\n\n")
-        output.flush()
+    if talk:
+        _status(errors, f"{__project_name__} {__version__}", enabled=color, code=_ANSI_BOLD + _ANSI_BLUE)
 
     try:
-        if arguments.input_file not in (None, "-"):
-            text = _read_file(arguments.input_file)
+        if literal_or_file:
+            text = _load_source_argument(str(source_arg))
         elif batch_mode:
             text = source.read()
         else:
-            text = read_pasted_text(source, output)
-    except (OSError, UnicodeError, ValueError) as error:
+            text = read_pasted_text(source, errors)
+    except UnicodeError:
+        return _error(errors, "input is not valid UTF-8. Only UTF-8 is supported.")
+    except (OSError, ValueError) as error:
         return _error(errors, str(error))
 
     if not text:
-        return _error(errors, "no input text received")
+        return _error(
+            errors,
+            "no input. Pipe text, pass a file, or quote a string. Example: printf 'I do not agree.\\n' | fuckmark",
+        )
 
-    if interactive and not arguments.quiet:
-        output.write(_styled("Processing...", _ANSI_BLUE, enabled=color) + "\n")
-        output.flush()
+    if talk:
+        _status(errors, "Working...", enabled=color, code=_ANSI_BLUE)
     try:
         result = transform_text(text)
     except (KeyError, TypeError, ValueError) as error:
-        return _error(errors, f"transformation failed: {error}")
+        return _error(errors, f"could not transform the text: {error}")
 
     output_text = result.output_text
     if arguments.visible:
@@ -376,37 +438,34 @@ def main(
             copy_failed = error
 
     try:
-        if batch_mode or arguments.output is not None or copy_failed is not None or (interactive and not should_copy):
-            _write_result(output_text, arguments.output, output)
-            if interactive and (arguments.output is None or arguments.output == "-"):
-                output.write("\n")
-                output.flush()
+        _write_result(output_text, arguments.output, output)
     except ValueError as error:
         return _error(errors, str(error))
 
-    if interactive and not arguments.quiet:
+    if talk:
         if result.changed:
-            noun = "change" if result.change_count == 1 else "changes"
-            message = f"Done — {result.change_count} product-authorized invisible {noun} applied."
+            noun = "character" if result.change_count == 1 else "characters"
+            message = f"Done. Inserted {result.change_count} hidden {noun}."
         else:
-            message = "Done — no product-authorized invisible transform; visible text left unchanged."
-        output.write(_styled(message, _ANSI_GREEN, enabled=color) + "\n")
+            message = (
+                "Left the text unchanged "
+                "(unsupported characters, no eligible letters, or already transformed)."
+            )
+        _status(errors, message, enabled=color, code=_ANSI_GREEN)
         if arguments.output not in (None, "-"):
-            output.write(f"Saved to {arguments.output}\n")
+            _status(errors, f"Wrote {arguments.output}", enabled=color, code=_ANSI_GREEN)
         if should_copy and copy_failed is None:
-            output.write("Copied to clipboard.\n")
-        output.flush()
+            _status(errors, "Copied to the clipboard.", enabled=color, code=_ANSI_GREEN)
 
     if copy_failed is not None:
-        errors.write(
-            _styled(
-                f"FuckMark: clipboard copy failed: {copy_failed}",
-                _ANSI_YELLOW,
-                enabled=color,
-            )
-            + "\n"
+        tool_failed = "no supported clipboard command found" not in str(copy_failed)
+        _status(
+            errors,
+            f"FuckMark: clipboard copy failed ({copy_failed}). {_clipboard_hint(tool_failed=tool_failed)} "
+            "The transformed text was still written.",
+            enabled=color,
+            code=_ANSI_YELLOW,
         )
-        errors.flush()
         return 2
     return 0
 
diff --git a/pyproject.toml b/pyproject.toml
index 65fb47d7..60b301a3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "fuckmark"
 version = "0.4.0"
-description = "FuckMark deterministic research infrastructure for statistical text watermark robustness"
+description = "CLI that inserts a frozen invisible Unicode payload into English ASCII text without changing what you see"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = []
@@ -14,8 +14,9 @@ license = "MIT"
 license-files = ["LICENSE"]
 keywords = ["watermark", "text", "robustness", "research", "synthid"]
 classifiers = [
-    "Development Status :: 3 - Alpha",
+    "Development Status :: 4 - Beta",
     "Environment :: Console",
+    "Intended Audience :: End Users/Desktop",
     "Intended Audience :: Science/Research",
     "Operating System :: OS Independent",
     "Programming Language :: Python :: 3",
diff --git a/tests/test_cli.py b/tests/test_cli.py
index b85dc2ed..67bf0aba 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -108,9 +108,9 @@ def test_cli_respects_selected_site_cap() -> None:
 
 def test_cli_reads_multiline_paste_until_ok_line() -> None:
     source = StringIO("First line\nSecond line\nok\nIgnored line\n")
-    output = StringIO()
-    assert read_pasted_text(source, output) == "First line\nSecond line"
-    assert "Finish with :done on its own line" in output.getvalue()
+    prompt = StringIO()
+    assert read_pasted_text(source, prompt) == "First line\nSecond line"
+    assert ":done" in prompt.getvalue()
 
 
 def test_copy_to_clipboard_sends_utf16_to_windows_clip(monkeypatch) -> None:
@@ -158,45 +158,46 @@ def fake_run(command, **kwargs):
 def test_cli_main_applies_mix_without_copying() -> None:
     source = StringIO("I do not agree.\nok\n")
     output = StringIO()
+    errors = StringIO()
     copied: list[str] = []
-    status = main(source, output, copied.append)
+    status = main(source, output, copied.append, error_stream=errors)
     assert status == 0
     assert copied == []
-    rendered = output.getvalue()
     expected = apply_letter_alternating_mix("I do not agree.")
-    assert f"FuckMark {__version__}" in rendered
-    assert "Processing..." in rendered
-    assert "product-authorized invisible" in rendered
-    assert "Copied to clipboard." not in rendered
-    assert expected in rendered
-    assert "I don't agree." not in rendered
+    assert output.getvalue() == expected
+    status_text = errors.getvalue()
+    assert f"FuckMark {__version__}" in status_text
+    assert "Done." in status_text
+    assert "Copied" not in status_text
+    assert "I don't agree." not in output.getvalue()
     assert project_visible_v1(expected, APPROVED) == "I do not agree."
 
 
 def test_cli_main_leaves_original_when_no_letter_site_is_eligible() -> None:
     source = StringIO("123.\nok\n")
     output = StringIO()
+    errors = StringIO()
     copied: list[str] = []
-    status = main(source, output, copied.append)
+    status = main(source, output, copied.append, error_stream=errors)
     assert status == 0
     assert copied == []
-    rendered = output.getvalue()
-    assert "123." in rendered
-    assert "visible text left unchanged" in rendered
-    assert "Copied to clipboard." not in rendered
+    assert output.getvalue() == "123."
+    assert "unchanged" in errors.getvalue()
+    assert "Copied" not in errors.getvalue()
 
 
 def test_cli_main_copies_raw_mix_payload_with_copy_flag() -> None:
     source = StringIO("I do not agree.\nok\n")
     output = StringIO()
+    errors = StringIO()
     copied: list[str] = []
-    status = main(source, output, copied.append, argv=("--copy",))
+    status = main(source, output, copied.append, error_stream=errors, argv=("--copy",))
     assert status == 0
     expected = apply_letter_alternating_mix("I do not agree.")
     assert copied == [expected]
-    rendered = output.getvalue()
-    assert "Copied to clipboard." in rendered
-    assert "I don't agree." not in rendered
+    assert output.getvalue() == expected
+    assert "Copied to the clipboard." in errors.getvalue()
+    assert "I don't agree." not in output.getvalue()
 
 
 def test_cli_main_prints_result_if_clipboard_copy_fails() -> None:
@@ -214,6 +215,7 @@ def fail(_: str) -> None:
     assert expected in rendered
     assert "I don't agree." not in rendered
     assert "clipboard copy failed" in errors.getvalue()
+    assert output.getvalue().count(expected) == 1
 
 
 def test_cli_version_reports_project_and_algorithm_identity(capsys) -> None:
@@ -244,7 +246,7 @@ def test_cli_rejects_latin1_and_visible_flag_strips_to_source() -> None:
     errors = StringIO()
     assert main(source, output, error_stream=errors, argv=("--stdin", "--encoding", "latin-1")) == 1
     assert output.getvalue() == ""
-    assert "unsupported product encoding" in errors.getvalue()
+    assert "only UTF-8 is supported" in errors.getvalue()
     copied: list[str] = []
     visible_out = StringIO()
     status = main(StringIO("I do not agree.\n"), visible_out, copied.append, argv=("--stdin", "--visible"))
@@ -259,7 +261,7 @@ def test_cli_noninteractive_mode_rejects_empty_input() -> None:
     errors = StringIO()
     assert main(source, output, argv=("--stdin",), error_stream=errors) == 1
     assert output.getvalue() == ""
-    assert errors.getvalue() == "FuckMark: no input text received\n"
+    assert "no input" in errors.getvalue()
 
 
 def test_cli_reads_file_and_atomically_writes_output(tmp_path: Path) -> None:
@@ -279,7 +281,7 @@ def test_cli_refuses_to_overwrite_its_input_file(tmp_path: Path) -> None:
     source.write_text("I do not agree.\n", encoding="utf-8")
     errors = StringIO()
     assert main(error_stream=errors, argv=(str(source), "--output", str(source))) == 1
-    assert "input and output paths must be different" in errors.getvalue()
+    assert "input and output files must be different" in errors.getvalue()
     assert source.read_text(encoding="utf-8") == "I do not agree.\n"
 
 
@@ -312,14 +314,108 @@ def test_cli_help_documents_file_pipe_clipboard_and_visible_contract(capsys) ->
         main(argv=("--help",))
     assert result.value.code == 0
     rendered = capsys.readouterr().out
-    assert "FILE" in rendered
+    assert "TEXT_OR_FILE" in rendered
     assert "--stdin" in rendered
     assert "--copy" in rendered
     assert "--visible" in rendered
     assert "--encoding" in rendered
     assert "--output" in rendered
-    assert "user-visible" in rendered
+    assert "visible" in rendered
     assert "latin-1" in rendered
+    assert "printf" in rendered
+    assert "fuckmark \"I do not agree.\"" in rendered
+    assert "standard input" in rendered.casefold() or "--stdin" in rendered
+
+
+def test_cli_quoted_text_argument_transforms_without_a_file() -> None:
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(""), output, error_stream=errors, argv=("I do not agree.",))
+    assert status == 0
+    assert output.getvalue() == apply_letter_alternating_mix("I do not agree.")
+    assert errors.getvalue() == ""
+
+
+def test_cli_missing_path_like_argument_is_an_error(tmp_path: Path) -> None:
+    missing = tmp_path / "notes.txt"
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(""), output, error_stream=errors, argv=(str(missing),))
+    assert status == 1
+    assert output.getvalue() == ""
+    assert "file not found" in errors.getvalue()
+
+
+def test_cli_directory_argument_is_an_error(tmp_path: Path) -> None:
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(""), output, error_stream=errors, argv=(str(tmp_path),))
+    assert status == 1
+    assert output.getvalue() == ""
+    assert "directory" in errors.getvalue()
+
+
+def test_cli_rejects_stdin_flag_with_a_source() -> None:
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO("I do not agree.\n"), output, error_stream=errors, argv=("--stdin", "I do not agree."))
+    assert status == 1
+    assert output.getvalue() == ""
+    assert "not both" in errors.getvalue()
+
+
+def test_cli_stdin_returns_unsupported_unicode_unchanged() -> None:
+    source_text = "I do not agree " + chr(0x00E9) + ".\n"
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(source_text), output, error_stream=errors, argv=("--stdin",))
+    assert status == 0
+    assert output.getvalue() == source_text
+    assert errors.getvalue() == ""
+
+
+def test_cli_stdin_keeps_multiline_visible_text() -> None:
+    source_text = "I do not agree.\nYou should not do that.\n"
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(source_text), output, error_stream=errors, argv=("--stdin",))
+    assert status == 0
+    applied = apply_letter_alternating_mix(source_text)
+    assert output.getvalue() == applied
+    assert project_visible_v1(applied, APPROVED) == source_text
+    assert errors.getvalue() == ""
+
+
+def test_cli_stdin_respects_selected_site_cap() -> None:
+    source_text = "abcdefghijklmnopqrstuvwxyz" * 12
+    output = StringIO()
+    errors = StringIO()
+    status = main(StringIO(source_text), output, error_stream=errors, argv=("--stdin",))
+    assert status == 0
+    applied = output.getvalue()
+    assert applied.count("\u034f") + applied.count("\ufe00") == 192
+    assert project_visible_v1(applied, APPROVED) == source_text
+    assert errors.getvalue() == ""
+
+
+def test_cli_rejects_invalid_utf8_stdin() -> None:
+    source = TextIOWrapper(BytesIO(b"\xff\xfe not utf-8"), encoding="utf-8", errors="strict")
+    output = StringIO()
+    errors = StringIO()
+    status = main(source, output, error_stream=errors, argv=("--stdin",))
+    assert status == 1
+    assert output.getvalue() == ""
+    assert "UTF-8" in errors.getvalue()
+
+
+def test_cli_help_stays_product_facing(capsys) -> None:
+    with pytest.raises(SystemExit) as result:
+        main(argv=("--help",))
+    assert result.value.code == 0
+    rendered = capsys.readouterr().out
+    assert "Cycle 8" not in rendered
+    assert "Gate v2" not in rendered
+    assert "carrier" not in rendered.casefold()
 
 
 def test_release_registry_contains_no_visible_edit_transforms() -> None:
diff --git a/tests/test_install_release_hardening.py b/tests/test_install_release_hardening.py
index 3a21618a..e72fd111 100644
--- a/tests/test_install_release_hardening.py
+++ b/tests/test_install_release_hardening.py
@@ -119,13 +119,17 @@ def test_verify_release_install_imports_under_isolated_interpreter() -> None:
 
 
 def test_install_docs_do_not_recommend_live_main_or_pipe_installers() -> None:
-    for relative in ("README.md", "docs/install.md"):
-        text = (ROOT / relative).read_text(encoding="utf-8")
+    readme = (ROOT / "README.md").read_text(encoding="utf-8")
+    install = (ROOT / "docs/install.md").read_text(encoding="utf-8")
+    for text in (readme, install):
         assert "archive/refs/heads/main.zip" not in text
         assert "| sh" not in text
         assert "|sh" not in text
         assert "| iex" not in text
         assert "irm https" not in text
-        assert "releases/download/v0.4.0" in text
-        assert "fuckmark-0.4.0-py3-none-any.whl" in text
-        assert "SHA256SUMS" in text
+        assert "SHA256SUMS" in text or "pip install ." in text
+    assert "python3 -m pip install ." in readme or ".venv/bin/python -m pip install ." in readme
+    assert "releases/download/v0.4.0" not in readme
+    assert "releases/download/v0.4.0" in install
+    assert "fuckmark-0.4.0-py3-none-any.whl" in install
+    assert "SHA256SUMS" in install
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index bc4446d8..4a5f8544 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -87,6 +87,29 @@ def _verify_artifact(artifact: Path) -> None:
                 raise RuntimeError(
                     f"installed CLI failed for {command.name}: stdout={transformed.stdout!r} stderr={transformed.stderr!r}"
                 )
+            visible = _run(
+                [str(command), "--stdin", "--visible"],
+                input=EXPECTED_INPUT,
+                capture_output=True,
+                env=environment,
+            )
+            if visible.stdout != EXPECTED_INPUT or visible.stderr:
+                raise RuntimeError(
+                    f"installed CLI --visible failed for {command.name}: stdout={visible.stdout!r} stderr={visible.stderr!r}"
+                )
+            quoted = _run(
+                [str(command), "I do not agree."],
+                capture_output=True,
+                env=environment,
+            )
+            expected_arg = apply_letter_alternating_mix("I do not agree.")
+            if quoted.stdout != expected_arg or quoted.stderr:
+                raise RuntimeError(
+                    f"installed CLI quoted argument failed for {command.name}: stdout={quoted.stdout!r} stderr={quoted.stderr!r}"
+                )
+            help_text = _run([str(command), "--help"], capture_output=True, env=environment).stdout
+            if "fuckmark" not in help_text.casefold() or "--visible" not in help_text:
+                raise RuntimeError(f"installed CLI --help failed for {command.name}: {help_text!r}")
 
 
 def main() -> int:

From 11a9523dd3b06f10b6ea0713aeaf5e76949bcc4e Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 14:55:12 +0000
Subject: [PATCH 27/28] Make plain fuckmark a paste UI that copies instead of
 printing.

Co-authored-by: Byte271 
---
 .github/workflows/ci.yml        |  23 ++++
 CHANGELOG.md                    |   2 +-
 README.md                       |  14 +--
 docs/cli.md                     |  50 +++++++--
 docs/install.md                 |   4 +-
 fuckmark/cli.py                 | 137 +++++++++++++++---------
 tests/test_cli.py               | 181 ++++++++++++++++++++++++--------
 tools/verify_release_install.py |   2 +-
 8 files changed, 303 insertions(+), 110 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4a34974c..2e869953 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -65,6 +65,29 @@ jobs:
           expected_arg="$(python -c "from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix; import sys; sys.stdout.write(apply_letter_alternating_mix('I do not agree.'))")"
           test "$(FuckMark 'I do not agree.')" = "$expected_arg"
           FuckMark --help >/dev/null
+          python - <<'PY'
+          from io import StringIO
+          from fuckmark.cli import main
+          from fuckmark.cycle8.letter_mix import apply_letter_alternating_mix
+
+          class Tty(StringIO):
+              def isatty(self):
+                  return True
+
+          copied = []
+          out = StringIO()
+          err = StringIO()
+          src = Tty("I do not agree.\n\nSecond paragraph.\n:done\n")
+          assert main(src, out, copied.append, error_stream=err) == 0
+          expected = apply_letter_alternating_mix("I do not agree.\n\nSecond paragraph.")
+          assert copied == [expected], copied
+          assert out.getvalue() == ""
+          ui = err.getvalue()
+          assert "Processing..." in ui
+          assert "Copied to clipboard" in ui
+          assert expected not in ui
+          print("interactive e2e ok")
+          PY
 
   calibration-readiness:
     name: Frozen calibration readiness
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 08725ac6..f48649e2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 ## v0.4.0 — Product-authorized CLI
 
-- The public command now transforms ordinary English ASCII text. Visible words stay exactly the same. `fuckmark "text"`, pipes, files, and `--stdin` write the payload to stdout. Status and errors go to stderr. `--help` is enough to start. `--visible` prints the original visible text. `--copy` copies that output (UTF-16 on Windows `clip`, UTF-8 elsewhere). Unsupported Unicode is returned unchanged. Invalid UTF-8 and empty input fail closed with an actionable error.
+- The public command now transforms ordinary English ASCII text. Visible words stay exactly the same. Running `fuckmark` in a terminal opens a paste UI: finish with a line that is only `:done`, copy the payload, and do not print hidden Unicode. Pipes, quoted text, files, and `--stdin` stay script-friendly on stdout. `--visible` prints the original visible text. `--copy` copies stream output (UTF-16 on Windows `clip`, UTF-8 elsewhere). Unsupported Unicode is returned unchanged. Invalid UTF-8 and empty input fail closed with an actionable error.
 - Install from a clone with `python -m pip install .`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. Do not retag `v0.3.0`.
 - Verified Gate v2 confirmation (spent seeds `1200000` / `1210000` / `1220000`): mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, UnicodeSanitizer mix **0/192**. Google synthid-text 30-key GPT-2 mix remains **0/192**. This does not remove every watermark. Mn-strip and default-ignorable-strip still restore the source. English ASCII only.
 - `release_transform_registry()` stays empty. The frozen apply path is `u034f-ufe00-letter-alt-v1`. The v1 mix sanitizer gate stays FAIL. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
diff --git a/README.md b/README.md
index 955846aa..9e4276ac 100644
--- a/README.md
+++ b/README.md
@@ -30,19 +30,19 @@ That prints `FuckMark 0.4.0`. The checksummed GitHub Release wheel is published
 ## Use
 
 ```text
-printf 'I do not agree.\n' | fuckmark
-fuckmark "I do not agree."
-fuckmark notes.txt -o notes.fm.txt
-printf 'I do not agree.\n' | fuckmark --visible
+fuckmark
 ```
 
-You still read **I do not agree.** The bytes changed. The visible words did not.
+Paste or type text, then a line that is only `:done`. The result is copied to the clipboard. You still read the same words; the hidden payload is not printed.
 
 ```text
-printf 'I do not agree.\n' | fuckmark | python3 -c "import sys; t=sys.stdin.read(); print(len(t.encode()), 'bytes')"
+printf 'I do not agree.\n' | fuckmark
+fuckmark "I do not agree."
+fuckmark notes.txt -o notes.fm.txt
+printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-`--copy` also puts that output on the clipboard. `fuckmark --help` is enough to start.
+Pipes and files write the payload to stdout. `--copy` also puts that output on the clipboard. `fuckmark --help` is enough to start.
 
 ## What it guarantees
 
diff --git a/docs/cli.md b/docs/cli.md
index 1add8854..071f8d0c 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -2,13 +2,44 @@
 
 The same command is installed as `fuckmark`, `FuckMark`, and `Fuckmark`.
 
-It inserts hidden Unicode into ordinary English ASCII text. The words on screen do not change. Standard output is the transformed text so pipes stay script-friendly. Status and errors go to stderr.
+It inserts hidden Unicode into ordinary English ASCII text. The words on screen do not change.
 
 ```text
 fuckmark --help
 ```
 
-## Examples
+## Paste UI
+
+In a terminal, with no file, quoted text, or pipe:
+
+```text
+fuckmark
+```
+
+```text
+FuckMark
+
+Paste or type your text below.
+Enter :done on a new line when finished.
+
+> I do not agree.
+> This can contain multiple lines.
+>
+> Another paragraph.
+> :done
+
+Processing...
+
+✓ Copied to clipboard
+```
+
+Blank lines are kept. `:done` ends the session only when it is the entire line. The transformed payload is copied and not printed.
+
+If clipboard copy fails, nothing is printed. Pipe text instead: `printf 'I do not agree.\n' | fuckmark`. Ctrl+C exits cleanly. EOF without `:done` is an error and copies nothing.
+
+Redirected or piped stdin does not open this UI. It is processed as a stream.
+
+## Stream examples
 
 ```text
 printf 'I do not agree.\n' | fuckmark
@@ -19,9 +50,7 @@ printf 'I do not agree.\n' | fuckmark --copy
 printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-Piped or quoted input writes the hidden payload. `--visible` writes the original visible text. `--copy` also places whatever was written on the clipboard.
-
-Interactive mode (a TTY with no file, quoted text, or pipe): paste text, then a line with only `:done`. The payload still goes to stdout. The `ok` terminator still works.
+Piped or quoted input writes the hidden payload to stdout. `--visible` writes the original visible text. `--copy` also places whatever was written on the clipboard.
 
 ## Options
 
@@ -30,10 +59,10 @@ Interactive mode (a TTY with no file, quoted text, or pipe): paste text, then a
 | `--version` | Print `FuckMark 0.4.0` plus internal algorithm ids. |
 | `--stdin` | Read all of standard input. |
 | `-o FILE`, `--output FILE` | Write UTF-8 output to FILE. |
-| `--copy` | Also copy the output to the clipboard. |
+| `--copy` | Also copy the output to the clipboard. The paste UI always copies. |
 | `--visible` | Print the visible text (no hidden characters). |
 | `--encoding NAME` | Only `utf-8`. `latin-1`, `ascii`, and `cp1252` are rejected. |
-| `-q`, `--quiet` | Hide stderr status in interactive mode. |
+| `-q`, `--quiet` | Hide non-essential status messages. |
 | `--no-color` | Disable color on stderr. `NO_COLOR` does the same. |
 
 `--non-interactive` is an alias of `--stdin`.
@@ -52,9 +81,10 @@ If the text is already transformed, or has no eligible letters, the CLI returns
 
 | Status | Meaning |
 | ---: | ---: |
-| 0 | Output was written. Unsupported input is returned unchanged. |
-| 1 | No input, bad file, unsupported encoding, or output could not be written. |
-| 2 | Transform succeeded, but clipboard copy failed. The text was still written. |
+| 0 | Output was written or copied. Unsupported input is returned unchanged. |
+| 1 | No input, bad file, unsupported encoding, missing `:done`, or output could not be written. |
+| 2 | Transform succeeded, but clipboard copy failed. Stream modes still write stdout. The paste UI does not print the payload. |
+| 130 | Interrupted with Ctrl+C. |
 
 ## Clipboard
 
diff --git a/docs/install.md b/docs/install.md
index 1a8238f8..f7eb4058 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -66,6 +66,8 @@ printf 'I do not agree.\n' | fuckmark --visible
 
 `--version` must begin with `FuckMark 0.4.0` and mention `release-cli-v5`. `--visible` must print `I do not agree.`
 
+In a terminal, `fuckmark` with no arguments opens the paste UI. Finish with `:done`. The result is copied, not printed.
+
 ## Development
 
 ```text
@@ -84,6 +86,6 @@ python -m pip install -r requirements-smoke.txt
 
 If the command is not found, open a new terminal so PATH updates load.
 
-On Linux, `--copy` needs `wl-copy`, `xclip`, `xsel`, or `clip.exe`. The CLI still prints the text if clipboard copy fails (exit 2).
+On Linux, clipboard copy needs `wl-copy`, `xclip`, `xsel`, or `clip.exe`. Stream `--copy` still prints the text if copy fails (exit 2). The paste UI does not print the payload; pipe text if you need stdout.
 
 Website: [mark.q1z.org](https://mark.q1z.org).
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index f8daf357..8fc99de6 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -23,13 +23,14 @@
 from .transforms import TRANSFORM_REGISTRY_ALGORITHM_VERSION
 
 
-CLI_TERMINATORS = frozenset({":done", "ok"})
+INTERACTIVE_DONE = ":done"
 RELEASE_CLI_ALGORITHM_VERSION = "release-cli-v5"
 _ANSI_BLUE = "\033[38;5;39m"
 _ANSI_GREEN = "\033[38;5;40m"
 _ANSI_YELLOW = "\033[38;5;214m"
 _ANSI_BOLD = "\033[1m"
 _ANSI_RESET = "\033[0m"
+_COPIED = "\u2713 Copied to clipboard"
 
 
 class ClipboardUnavailableError(RuntimeError):
@@ -73,16 +74,27 @@ def process_text(text: str) -> str:
     return transform_text(text).output_text
 
 
-def read_pasted_text(input_stream: TextIO, output_stream: TextIO) -> str:
-    output_stream.write("Paste text, then a line with only :done\n\n")
-    output_stream.flush()
+def read_interactive_text(input_stream: TextIO, ui_stream: TextIO, *, color: bool = False) -> list[str] | None:
+    ui_stream.write(_styled("FuckMark", _ANSI_BOLD, enabled=color) + "\n")
+    ui_stream.write(
+        "\n"
+        "Paste or type your text below.\n"
+        "Enter :done on a new line when finished.\n"
+        "\n"
+    )
+    ui_stream.flush()
     lines: list[str] = []
-    for raw_line in input_stream:
+    while True:
+        ui_stream.write("> ")
+        ui_stream.flush()
+        raw_line = input_stream.readline()
+        if raw_line == "":
+            return None
         line = raw_line.rstrip("\r\n")
-        if line.strip().casefold() in CLI_TERMINATORS:
+        if line == INTERACTIVE_DONE:
             break
         lines.append(line)
-    return "\n".join(lines)
+    return lines
 
 
 def _parser() -> argparse.ArgumentParser:
@@ -93,7 +105,12 @@ def _parser() -> argparse.ArgumentParser:
             "without changing the visible words."
         ),
         epilog=(
+            "With no arguments in a terminal, paste or type text and finish with a\n"
+            "line that is only :done. Blank lines are kept. The result is copied to\n"
+            "the clipboard and not printed.\n"
+            "\n"
             "Examples:\n"
+            "  fuckmark\n"
             "  printf 'I do not agree.\\n' | fuckmark\n"
             "  fuckmark \"I do not agree.\"\n"
             "  fuckmark notes.txt -o notes.fm.txt\n"
@@ -110,7 +127,7 @@ def _parser() -> argparse.ArgumentParser:
         "source",
         nargs="?",
         metavar="TEXT_OR_FILE",
-        help="quoted text, or a UTF-8 file path; omit to read standard input; use - for stdin",
+        help="quoted text or UTF-8 file; omit in a terminal to paste; - reads stdin",
     )
     parser.add_argument(
         "--version",
@@ -136,7 +153,7 @@ def _parser() -> argparse.ArgumentParser:
     parser.add_argument(
         "--copy",
         action="store_true",
-        help="also copy the output to the clipboard",
+        help="copy output to the clipboard; the paste UI always copies",
     )
     parser.add_argument(
         "--visible",
@@ -153,7 +170,7 @@ def _parser() -> argparse.ArgumentParser:
         "-q",
         "--quiet",
         action="store_true",
-        help="hide status messages on stderr",
+        help="hide non-essential status messages",
     )
     parser.add_argument(
         "--no-color",
@@ -356,15 +373,44 @@ def main(
     clipboard_writer: Callable[[str], None] | None = None,
     argv: Sequence[str] | None = None,
     error_stream: TextIO | None = None,
+) -> int:
+    source = sys.stdin if input_stream is None else input_stream
+    output = sys.stdout if output_stream is None else output_stream
+    errors = sys.stderr if error_stream is None else error_stream
+    try:
+        return _run(
+            source,
+            output,
+            errors,
+            clipboard_writer,
+            argv,
+            injected=any(
+                value is not None
+                for value in (input_stream, output_stream, clipboard_writer, error_stream)
+            ),
+        )
+    except KeyboardInterrupt:
+        try:
+            errors.write("\n")
+            errors.flush()
+        except (OSError, UnicodeError, ValueError):
+            pass
+        return 130
+
+
+def _run(
+    source: TextIO,
+    output: TextIO,
+    errors: TextIO,
+    clipboard_writer: Callable[[str], None] | None,
+    argv: Sequence[str] | None,
+    *,
+    injected: bool,
 ) -> int:
     parser_argv = argv
-    injected = any(value is not None for value in (input_stream, output_stream, clipboard_writer, error_stream))
     if parser_argv is None and injected:
         parser_argv = ()
     arguments = _parser().parse_args(parser_argv)
-    source = sys.stdin if input_stream is None else input_stream
-    output = sys.stdout if output_stream is None else output_stream
-    errors = sys.stderr if error_stream is None else error_stream
     _ensure_utf8(source)
     _ensure_utf8(output)
     _ensure_utf8(errors)
@@ -389,36 +435,35 @@ def main(
     ):
         return _error(errors, "input and output files must be different")
 
-    automatic_pipe = input_stream is None and not _is_tty(source)
     literal_or_file = source_arg not in (None, "-") and not arguments.stdin_mode
-    batch_mode = wants_stdin or literal_or_file or automatic_pipe
-    interactive = not batch_mode
+    interactive = (not wants_stdin) and (not literal_or_file) and _is_tty(source)
     color = _is_tty(errors) and not arguments.no_color and "NO_COLOR" not in os.environ
-    talk = interactive and not arguments.quiet
-
-    if talk:
-        _status(errors, f"{__project_name__} {__version__}", enabled=color, code=_ANSI_BOLD + _ANSI_BLUE)
 
     try:
         if literal_or_file:
             text = _load_source_argument(str(source_arg))
-        elif batch_mode:
-            text = source.read()
+        elif interactive:
+            captured = read_interactive_text(source, errors, color=color)
+            if captured is None:
+                return _error(errors, "ended without :done. Nothing copied.")
+            if not captured:
+                return _error(errors, "no input. Paste or type text, then :done.")
+            text = "\n".join(captured)
         else:
-            text = read_pasted_text(source, errors)
+            text = source.read()
     except UnicodeError:
         return _error(errors, "input is not valid UTF-8. Only UTF-8 is supported.")
     except (OSError, ValueError) as error:
         return _error(errors, str(error))
 
-    if not text:
+    if not interactive and not text:
         return _error(
             errors,
             "no input. Pipe text, pass a file, or quote a string. Example: printf 'I do not agree.\\n' | fuckmark",
         )
 
-    if talk:
-        _status(errors, "Working...", enabled=color, code=_ANSI_BLUE)
+    if interactive:
+        _status(errors, "Processing...", enabled=color, code=_ANSI_BLUE)
     try:
         result = transform_text(text)
     except (KeyError, TypeError, ValueError) as error:
@@ -428,7 +473,7 @@ def main(
     if arguments.visible:
         output_text = project_visible_v1(output_text, product_approved_carriers_v1())
 
-    should_copy = arguments.copy
+    should_copy = arguments.copy or interactive
     copy_failed: Exception | None = None
     if should_copy:
         writer = copy_to_clipboard if clipboard_writer is None else clipboard_writer
@@ -437,32 +482,30 @@ def main(
         except Exception as error:
             copy_failed = error
 
-    try:
-        _write_result(output_text, arguments.output, output)
-    except ValueError as error:
-        return _error(errors, str(error))
+    wrote_payload = False
+    if (not interactive) or arguments.output not in (None, "-"):
+        try:
+            _write_result(output_text, arguments.output, output)
+            wrote_payload = True
+        except ValueError as error:
+            return _error(errors, str(error))
 
-    if talk:
-        if result.changed:
-            noun = "character" if result.change_count == 1 else "characters"
-            message = f"Done. Inserted {result.change_count} hidden {noun}."
-        else:
-            message = (
-                "Left the text unchanged "
-                "(unsupported characters, no eligible letters, or already transformed)."
-            )
-        _status(errors, message, enabled=color, code=_ANSI_GREEN)
-        if arguments.output not in (None, "-"):
-            _status(errors, f"Wrote {arguments.output}", enabled=color, code=_ANSI_GREEN)
-        if should_copy and copy_failed is None:
-            _status(errors, "Copied to the clipboard.", enabled=color, code=_ANSI_GREEN)
+    if interactive and copy_failed is None:
+        _status(errors, _COPIED, enabled=color, code=_ANSI_GREEN)
 
     if copy_failed is not None:
         tool_failed = "no supported clipboard command found" not in str(copy_failed)
+        if wrote_payload:
+            follow = "The transformed text was still written."
+        else:
+            follow = (
+                "Nothing was printed. Pipe text if you need stdout: "
+                "printf 'I do not agree.\\n' | fuckmark"
+            )
         _status(
             errors,
             f"FuckMark: clipboard copy failed ({copy_failed}). {_clipboard_hint(tool_failed=tool_failed)} "
-            "The transformed text was still written.",
+            f"{follow}",
             enabled=color,
             code=_ANSI_YELLOW,
         )
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 67bf0aba..3df6045e 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -8,11 +8,12 @@
 
 from fuckmark import __version__
 from fuckmark.cli import (
+    INTERACTIVE_DONE,
     RELEASE_CLI_ALGORITHM_VERSION,
     copy_to_clipboard,
     main,
     process_text,
-    read_pasted_text,
+    read_interactive_text,
     transform_text,
 )
 from fuckmark.cycle8.letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix
@@ -37,6 +38,11 @@
 APPROVED = frozenset(LETTER_MIX_APPROVED_CARRIERS)
 
 
+class TtyIO(StringIO):
+    def isatty(self) -> bool:
+        return True
+
+
 def test_cli_process_text_does_not_apply_visible_contractions() -> None:
     source = "I do not agree and I cannot stay."
     applied = process_text(source)
@@ -106,11 +112,129 @@ def test_cli_respects_selected_site_cap() -> None:
     assert project_visible_v1(applied, APPROVED) == source
 
 
-def test_cli_reads_multiline_paste_until_ok_line() -> None:
-    source = StringIO("First line\nSecond line\nok\nIgnored line\n")
+def test_cli_reads_multiline_paste_until_done_and_keeps_blank_lines() -> None:
+    source = TtyIO("I do not agree.\n\nSecond paragraph.\nok is content\n:done\nIgnored\n")
+    prompt = StringIO()
+    captured = read_interactive_text(source, prompt)
+    assert captured == ["I do not agree.", "", "Second paragraph.", "ok is content"]
+    assert INTERACTIVE_DONE not in captured
+    ui = prompt.getvalue()
+    assert ui.startswith("FuckMark\n")
+    assert "Paste or type your text below." in ui
+    assert ":done" in ui
+    assert ui.count("> ") == 5
+
+
+def test_cli_done_terminates_only_as_the_entire_line() -> None:
+    source = TtyIO("say :done please\n:done\n")
     prompt = StringIO()
-    assert read_pasted_text(source, prompt) == "First line\nSecond line"
-    assert ":done" in prompt.getvalue()
+    assert read_interactive_text(source, prompt) == ["say :done please"]
+
+
+def test_cli_main_interactive_copies_without_printing_payload() -> None:
+    source = TtyIO("I do not agree.\n:done\n")
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(source, output, copied.append, error_stream=errors)
+    assert status == 0
+    expected = apply_letter_alternating_mix("I do not agree.")
+    assert copied == [expected]
+    assert output.getvalue() == ""
+    ui = errors.getvalue()
+    assert "FuckMark" in ui
+    assert "Processing..." in ui
+    assert "Copied to clipboard" in ui
+    assert expected not in ui
+    assert "I don't agree." not in ui
+    assert project_visible_v1(expected, APPROVED) == "I do not agree."
+
+
+def test_cli_main_interactive_preserves_blank_lines_and_multiline() -> None:
+    source = TtyIO("I do not agree.\n\nYou should not do that.\n:done\n")
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(source, output, copied.append, error_stream=errors)
+    assert status == 0
+    expected = apply_letter_alternating_mix("I do not agree.\n\nYou should not do that.")
+    assert copied == [expected]
+    assert output.getvalue() == ""
+    assert project_visible_v1(expected, APPROVED) == "I do not agree.\n\nYou should not do that."
+
+
+def test_cli_main_interactive_copies_fail_closed_unicode_without_printing() -> None:
+    source_text = "I do not agree " + chr(0x00E9) + "."
+    source = TtyIO(source_text + "\n:done\n")
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(source, output, copied.append, error_stream=errors)
+    assert status == 0
+    assert copied == [source_text]
+    assert output.getvalue() == ""
+    assert "Copied to clipboard" in errors.getvalue()
+    assert "\u034f" not in copied[0]
+
+
+def test_cli_main_interactive_reports_clipboard_failure_without_printing_payload() -> None:
+    source = TtyIO("I do not agree.\n:done\n")
+    output = StringIO()
+    errors = StringIO()
+
+    def fail(_: str) -> None:
+        raise RuntimeError("clipboard unavailable")
+
+    status = main(source, output, fail, error_stream=errors)
+    assert status == 2
+    assert output.getvalue() == ""
+    ui = errors.getvalue()
+    assert "clipboard copy failed" in ui
+    assert "Nothing was printed" in ui
+    expected = apply_letter_alternating_mix("I do not agree.")
+    assert expected not in ui
+    assert "Copied to clipboard" not in ui
+
+
+def test_cli_main_interactive_eof_without_done_is_clean() -> None:
+    source = TtyIO("I do not agree.\n")
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(source, output, copied.append, error_stream=errors)
+    assert status == 1
+    assert copied == []
+    assert output.getvalue() == ""
+    assert "ended without :done" in errors.getvalue()
+
+
+def test_cli_main_interactive_ctrl_c_exits_cleanly() -> None:
+    class Boom(TtyIO):
+        def readline(self, *args, **kwargs):
+            raise KeyboardInterrupt
+
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(Boom(), output, copied.append, error_stream=errors)
+    assert status == 130
+    assert copied == []
+    assert output.getvalue() == ""
+    assert errors.getvalue().endswith("\n")
+    assert "Copied to clipboard" not in errors.getvalue()
+    assert "Traceback" not in errors.getvalue()
+
+
+def test_cli_main_interactive_empty_done_is_an_error() -> None:
+    source = TtyIO(":done\n")
+    output = StringIO()
+    errors = StringIO()
+    copied: list[str] = []
+    status = main(source, output, copied.append, error_stream=errors)
+    assert status == 1
+    assert copied == []
+    assert output.getvalue() == ""
+    assert "no input" in errors.getvalue()
 
 
 def test_copy_to_clipboard_sends_utf16_to_windows_clip(monkeypatch) -> None:
@@ -155,63 +279,32 @@ def fake_run(command, **kwargs):
     assert kwargs["encoding"] == "utf-8"
 
 
-def test_cli_main_applies_mix_without_copying() -> None:
-    source = StringIO("I do not agree.\nok\n")
-    output = StringIO()
-    errors = StringIO()
-    copied: list[str] = []
-    status = main(source, output, copied.append, error_stream=errors)
-    assert status == 0
-    assert copied == []
-    expected = apply_letter_alternating_mix("I do not agree.")
-    assert output.getvalue() == expected
-    status_text = errors.getvalue()
-    assert f"FuckMark {__version__}" in status_text
-    assert "Done." in status_text
-    assert "Copied" not in status_text
-    assert "I don't agree." not in output.getvalue()
-    assert project_visible_v1(expected, APPROVED) == "I do not agree."
-
-
-def test_cli_main_leaves_original_when_no_letter_site_is_eligible() -> None:
-    source = StringIO("123.\nok\n")
-    output = StringIO()
-    errors = StringIO()
-    copied: list[str] = []
-    status = main(source, output, copied.append, error_stream=errors)
-    assert status == 0
-    assert copied == []
-    assert output.getvalue() == "123."
-    assert "unchanged" in errors.getvalue()
-    assert "Copied" not in errors.getvalue()
-
-
 def test_cli_main_copies_raw_mix_payload_with_copy_flag() -> None:
-    source = StringIO("I do not agree.\nok\n")
+    source = StringIO("I do not agree.\n")
     output = StringIO()
     errors = StringIO()
     copied: list[str] = []
-    status = main(source, output, copied.append, error_stream=errors, argv=("--copy",))
+    status = main(source, output, copied.append, error_stream=errors, argv=("--stdin", "--copy"))
     assert status == 0
-    expected = apply_letter_alternating_mix("I do not agree.")
+    expected = apply_letter_alternating_mix("I do not agree.\n")
     assert copied == [expected]
     assert output.getvalue() == expected
-    assert "Copied to the clipboard." in errors.getvalue()
+    assert errors.getvalue() == ""
     assert "I don't agree." not in output.getvalue()
 
 
 def test_cli_main_prints_result_if_clipboard_copy_fails() -> None:
-    source = StringIO("I do not agree.\nok\n")
+    source = StringIO("I do not agree.\n")
     output = StringIO()
     errors = StringIO()
 
     def fail(_: str) -> None:
         raise RuntimeError("clipboard unavailable")
 
-    status = main(source, output, fail, error_stream=errors, argv=("--copy",))
+    status = main(source, output, fail, error_stream=errors, argv=("--stdin", "--copy"))
     assert status == 2
     rendered = output.getvalue()
-    expected = apply_letter_alternating_mix("I do not agree.")
+    expected = apply_letter_alternating_mix("I do not agree.\n")
     assert expected in rendered
     assert "I don't agree." not in rendered
     assert "clipboard copy failed" in errors.getvalue()
@@ -325,6 +418,8 @@ def test_cli_help_documents_file_pipe_clipboard_and_visible_contract(capsys) ->
     assert "printf" in rendered
     assert "fuckmark \"I do not agree.\"" in rendered
     assert "standard input" in rendered.casefold() or "--stdin" in rendered
+    assert ":done" in rendered
+    assert "clipboard" in rendered.casefold()
 
 
 def test_cli_quoted_text_argument_transforms_without_a_file() -> None:
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index 4a5f8544..f69048f4 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -108,7 +108,7 @@ def _verify_artifact(artifact: Path) -> None:
                     f"installed CLI quoted argument failed for {command.name}: stdout={quoted.stdout!r} stderr={quoted.stderr!r}"
                 )
             help_text = _run([str(command), "--help"], capture_output=True, env=environment).stdout
-            if "fuckmark" not in help_text.casefold() or "--visible" not in help_text:
+            if "fuckmark" not in help_text.casefold() or "--visible" not in help_text or ":done" not in help_text:
                 raise RuntimeError(f"installed CLI --help failed for {command.name}: {help_text!r}")
 
 

From 4998810e38e41cc8238eddc013e12d1259850ef2 Mon Sep 17 00:00:00 2001
From: Cursor Agent 
Date: Thu, 27 Aug 2026 15:07:53 +0000
Subject: [PATCH 28/28] Hide research dumps from the public product surface.

Co-authored-by: Byte271 
---
 CHANGELOG.md                                  | 106 +-------
 README.md                                     |  25 +-
 docs/cli.md                                   |   4 +-
 docs/cycle7/README.md                         | 105 --------
 docs/cycle7/durable-families.md               | 229 ------------------
 docs/cycle7/literature.md                     |  55 -----
 docs/cycle7/live-state-audit.md               |  78 ------
 docs/cycle7/seed-ledger.md                    |  38 ---
 docs/cycle7/stage-a-decision.md               |  59 -----
 docs/cycle7/stage-b-decision.md               | 126 ----------
 docs/cycle7/stage-c-decision.md               |  96 --------
 docs/cycle7/whitespace-collapse-v1.md         |  27 ---
 docs/cycle8/README.md                         |  32 ---
 docs/cycle8/carrier-research.md               | 196 ---------------
 docs/cycle8/gate-v2.md                        |  89 -------
 docs/cycle8/letter-mix-margin.md              |  30 ---
 docs/cycle8/letter-system-benchmark.md        |  24 --
 docs/cycle8/mix-deepmind-transfer.md          |  30 ---
 docs/cycle8/mix-freeze.md                     |  52 ----
 docs/cycle8/mix-publishability.md             |  82 -------
 docs/cycle8/mix-second-model-transfer.md      |  24 --
 docs/cycle8/seed-ledger.md                    |  57 -----
 .../visible-invariance-correction.md          |  39 ---
 docs/install.md                               |  13 +-
 docs/product-contract.md                      |   2 +-
 docs/research.md                              |  11 +
 docs/seeds.md                                 |  55 -----
 .../frozen-spec-revision-2/SHA256SUMS.txt     |   0
 .../frozen-spec-revision-2/spec.md            |   0
 fuckmark/cli.py                               |   6 +-
 tests/test_cli.py                             |  10 +-
 tests/test_m0_source_freeze.py                |   4 +-
 tests/test_project_identity.py                |   2 +-
 tools/verify_release_install.py               |   2 +-
 34 files changed, 48 insertions(+), 1660 deletions(-)
 delete mode 100644 docs/cycle7/README.md
 delete mode 100644 docs/cycle7/durable-families.md
 delete mode 100644 docs/cycle7/literature.md
 delete mode 100644 docs/cycle7/live-state-audit.md
 delete mode 100644 docs/cycle7/seed-ledger.md
 delete mode 100644 docs/cycle7/stage-a-decision.md
 delete mode 100644 docs/cycle7/stage-b-decision.md
 delete mode 100644 docs/cycle7/stage-c-decision.md
 delete mode 100644 docs/cycle7/whitespace-collapse-v1.md
 delete mode 100644 docs/cycle8/README.md
 delete mode 100644 docs/cycle8/carrier-research.md
 delete mode 100644 docs/cycle8/gate-v2.md
 delete mode 100644 docs/cycle8/letter-mix-margin.md
 delete mode 100644 docs/cycle8/letter-system-benchmark.md
 delete mode 100644 docs/cycle8/mix-deepmind-transfer.md
 delete mode 100644 docs/cycle8/mix-freeze.md
 delete mode 100644 docs/cycle8/mix-publishability.md
 delete mode 100644 docs/cycle8/mix-second-model-transfer.md
 delete mode 100644 docs/cycle8/seed-ledger.md
 delete mode 100644 docs/decisions/visible-invariance-correction.md
 create mode 100644 docs/research.md
 delete mode 100644 docs/seeds.md
 rename SHA256SUMS.txt => evidence/frozen-spec-revision-2/SHA256SUMS.txt (100%)
 rename spec.md => evidence/frozen-spec-revision-2/spec.md (100%)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index f48649e2..c9172c69 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,102 +1,22 @@
 # Changelog
 
-## v0.4.0 — Product-authorized CLI
+## v0.4.0 — Product CLI
 
-- The public command now transforms ordinary English ASCII text. Visible words stay exactly the same. Running `fuckmark` in a terminal opens a paste UI: finish with a line that is only `:done`, copy the payload, and do not print hidden Unicode. Pipes, quoted text, files, and `--stdin` stay script-friendly on stdout. `--visible` prints the original visible text. `--copy` copies stream output (UTF-16 on Windows `clip`, UTF-8 elsewhere). Unsupported Unicode is returned unchanged. Invalid UTF-8 and empty input fail closed with an actionable error.
-- Install from a clone with `python -m pip install .`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. Do not retag `v0.3.0`.
-- Verified Gate v2 confirmation (spent seeds `1200000` / `1210000` / `1220000`): mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, UnicodeSanitizer mix **0/192**. Google synthid-text 30-key GPT-2 mix remains **0/192**. This does not remove every watermark. Mn-strip and default-ignorable-strip still restore the source. English ASCII only.
-- `release_transform_registry()` stays empty. The frozen apply path is `u034f-ufe00-letter-alt-v1`. The v1 mix sanitizer gate stays FAIL. `required_sanitizers_keep` is not weakened. Do not generate `950000`.
+- Transforms ordinary English ASCII text. Visible words stay exactly the same.
+- In a terminal, `fuckmark` opens a paste UI. Finish with `:done`. The result is copied and not printed.
+- Pipes, quoted text, files, and `--stdin` write the payload to stdout. `--visible` prints the original visible text. `--copy` copies stream output.
+- Unsupported Unicode is returned unchanged. Empty input and invalid UTF-8 fail with an actionable error.
+- Confirmed on GPT-2 / SynthID tests: transformed text 0/192 after required sanitizers, exact visible text 192/192. This does not remove every watermark.
+- Install from a clone with `python -m pip install .`. The GitHub Release wheel is published after the immutable `v0.4.0` tag.
 
-## v0.3.0 — Visible invariance, install and release hardening
+## v0.3.0
 
-- Advanced the project version to 0.3.0 so the identity CLI is not published under the v0.2.0 contraction tag.
-- Restored Priority Zero: product output must keep the exact user-visible projection of the input.
-- Public CLI `release-cli-v4` fail-closes instead of applying contractions or other visible edits.
-- `release_transform_registry()` is the empty product-visible-invariance registry. Historical contraction/lexical/syntax/spacing catalogs remain replayable under explicit historical names.
-- Added `specs/fuckmark-user-visible-invariance-v1.contract.json` and Cycle 8 invisible-carrier research. No product-authorized carrier is promoted yet.
-- Reclassified Cycle 6 formal `NONZERO_RESIDUAL` 7/192 and Cycle 7 visible-edit stages as scientific evidence that is product-disqualified.
-- GitHub CI installed-CLI end-to-end now expects unchanged visible text, matching `release-cli-v4`.
-- Cycle 8 fixture compare reports visible-projection pass `20/20` for space-carrier arms.
-- Chromium `pre` screenshots: U+034F / U+FE00 pixel-equal; U+200C PNG bytes differ.
-- Detector-blind GPT-2 / SynthID development scoring on seeds `890000`, `900000`, and `910000` reduced watermarked detections for U+034F space-carrier x1 without unwatermarked inflation on these tiny 4-pair corpora. This is not confirmation and is not a product promotion.
-- Product contract loading uses the embedded v1 payload in installed wheels. Writers that replace pinned `specs/cycle8` tokenizer JSON refuse to run without a GPT-2 encoder; the detector harness still scores when tiktoken is absent. Chromium HTML evidence encodes less-than and greater-than as JSON unicode escapes so an ASCII script terminator cannot close the inline script.
-- Official install docs now use the tagged GitHub Release wheel plus `SHA256SUMS.txt`. In-repo installers verify that checksum, do not start the CLI, and do not use sudo. `d.q1z.org/mark` is no longer documented as the install path.
-- Release Engineering no longer auto-tags, auto-publishes, or deletes merged branches on `main` push. Publishing is `workflow_dispatch` only against an existing tag.
-- GitHub Actions `workflow_dispatch` values are passed through `env:` instead of being interpolated into `run:` scripts.
-- Interactive CLI copies to the clipboard only with `--copy`.
-- Product contract loading requires the frozen v1 hash even when `specs/` is absent from an installed wheel.
-- `source_verified_release_transform_registry` keeps verified visible-preserving rules instead of dropping them after promotion checks.
-- `BayesianDetectorEvidence.confirmatory_score()` refuses UNVERIFIED status. `raw_score` stays the frozen v1 field.
-- `load_bayesian_checkpoint` rejects JSON larger than 64 MiB.
-- Seed `880000` is `PUBLICLY_EXPOSED` by closed unmerged PR #98 and is not eligible as unseen validation. Added `global-seed-ledger-v1` and reserved Cycle 8 scale seeds `930000` / `940000` / `950000` before scale generation.
-- Cycle 8 scale exploratory seed `930000` U+034F x1: 0/16 then 0/32 raw transformed WM, then **1/64** on the 64-pair expansion (matched UW 0, visible projection pass, sanitizer matrix matches raw). Do not rewrite 1/64 as zero. Independent replication seed `940000` n=64 is **0/64** raw transformed WM (max score 0.557052 versus threshold 0.557099). Combined 64-pair corpora: **1/128**. Product registry fail-closes carrier sites that would violate frozen hard invariants.
-- U+034F is still not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`.
-- Reserved Cycle 8 density exploratory seed `960000` (`carrier density follow-up`) before generation, then scored a detector-blind U+034F space x1 versus space plus word-final letter x1 comparison. Both arms are **1/16** raw transformed WM on the same residual row. Density did not beat space x1. Not product-authorized.
-- Cycle 8 letter-x1 (U+034F after ASCII letters, visible-word invariants, quote-interior carrier policy, detector-blind selected-site cap 192) diagnostically rescored seen `930000` n=64, `940000` n=64, and `960000` n=16 to **0** raw transformed WM with clean unwatermarked controls and exact visible projection. Independent reserved seed `970000` (`intra-word carrier follow-up`) is **0/16** then **0/64**. Experimental letter-x1 **0/192** = seen `930000` n=64 plus seen `940000` n=64 plus independent `970000` n=64 (**128/192 seen**, **64/192 independent**). Space-x1 1/64 and 1/16 remain frozen.
-- Cycle 8 letter-x1 system benchmark reserved seeds `980000` and `990000` before generation. Fresh independent corpora: letter-x1 **0/128** raw transformed WM, space-x1 **1/128** on the same texts, letter max score 0.554066 versus threshold 0.557099. Local fixtures: visible projection 21/21, protected spans 21/21, Chromium `pre`/textarea/contenteditable pixel-equal on measured samples. Formal confirmation readiness is `NOT_READY`. Letter-x1 is not product-authorized and is not confirmation. Do not generate `950000`.
-- Cycle 8 letter-space margin seeds `1000000` and `1010000` were reserved before generation. Combined fresh letter-space is **1/128** on the same residual geometry; do not rewrite that as zero.
-- Cycle 8 letter-mix margin reserved seeds `1020000` and `1030000` before generation. Detector-blind U+034F/U+FE00 alternating letter mix is fresh **0/128** raw transformed WM, mix UW **0/128**, worst mix score 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on those same corpora is 0/128 with max 0.527389. Chromium mix fixtures were pixel-equal on the measured `pre`/textarea/contenteditable surfaces. Mix is not product-authorized and is not confirmation. Formal confirmation readiness remains `NOT_READY`.
-- Cycle 8 letter-mix scale reserved seeds `1040000` and `1050000` before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix score 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale, not confirmation.
-- Froze development mechanism `u034f-ufe00-letter-alt-v1` as `cycle8-mix-freeze-v1`. Public CLI remains empty.
-- Cycle 8 mix freeze one-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192** raw transformed WM, mix UW **0/192**, visible **192/192**, frozen sanitizers matching raw zeros, worst mix score 0.524300 versus threshold 0.557099 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. Mix is not product-authorized. Do not generate `950000`.
-- Recorded `cycle8-mix-publishability-v1` after merging that freeze onto `main`. Product hardening on that report: software compatibility PASS on the UTF-8 product surface (Latin-1/ASCII/cp1252 unsupported; visible-projection search; raw codepoint search is not the product API). Sanitizer weaknesses still FAIL; assigned-Unicode feasibility and the width-0 closed set found no stronger Priority-Zero invisible mechanism. All 13 enclosing marks change Chromium `pre` pixels. Cross-detector generalization PASSes on Hugging Face nine-key GPT-2 Weighted Mean 0/192 plus independent Google `synthid-text` 30-key GPT-2 mix **0/192** (identity WM 189/192). DistilGPT2 n=16 is HYPOTHESIS second-model transfer (identity 16/16, mix 0/16), not confirmation-scale. Mean versus Weighted Mean on the same GPT-2 Hugging Face adapter remains HYPOTHESIS. Mix is not product-publishable. Tag `v0.3.0` is not retagged.
-- Cycle 8 H12 control-code research: DEL and C1 except NEXT LINE survive Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC/NFKD, and frozen Cycle 6/7 sanitizers while keeping exact visible projection. Chromium `pre` pixels are host-dependent (research host matched; GitHub Actions Chromium rejected the full apply). Seen DeepMind 30-key diagnostic rescore of seed `920000` n=16 is control-mix **0/16** WM with identity **16/16**. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. This is a new `Cc` class, not a mix sanitizer PASS. Public CLI stays empty. Do not generate `950000`.
-- Cycle 8 H13 post-sanitizer mechanism class: no measured Unicode-string transform family is simultaneously sanitizer-surviving on the required set, Chromium-portable, ordinary plain text, and Priority-Zero safe. This is a classification, not a Unicode re-scan, and does not rewrite mix sanitizer FAIL. Public CLI stays empty. Do not generate `950000`.
+Public CLI left text unchanged (no visible edits). Install and release hardening. Not the current product.
 
-## v0.2.0 — Exact-survival confirmation and release hardening
+## v0.2.0
 
-### Research
+Historical contraction CLI. Not the current product.
 
-- Confirmed the Cycle 4 exact post-retokenization scheduling objective on three independent frozen confirmation corpora.
-- The preregistered aggregate outcome is `CONFIRMATORY_IMPROVEMENT`.
-- Cycle-3 proxy scheduling left 8/192 transformed watermarked samples detected; exact-survival scheduling left 5/192 detected under the same inherited threshold.
-- The measured evasion rate on that frozen open Hugging Face SynthID configuration therefore changed from 95.83% to 97.40%.
-- Matched unwatermarked detections remained 2/192 in both aggregate arms.
-- Every independent 64-source confirmation corpus improved by one residual detection: 3->2, 3->2, and 2->1.
-- Added `exact-survival-greedy-key-blind-v2`, extending the frozen v1 objective with deterministic pairwise completion after single-candidate saturation.
-- Added the development-only `content-region-destruction-v1` visible candidate pool without mutating the frozen Cycle-3 ruleset hash.
-- Added raw, NFKC, Cf-strip, and combined sanitizer robustness reporting.
-- Kept U+200C explicitly quarantined as a diagnostic upper-bound mechanism and excluded it from automatic release behavior.
-- The expanded pool plus scheduler v2 reached 0/12 detected in the fresh development run, but this remains development evidence rather than a large-corpus confirmatory claim.
+## v0.1.0
 
-### Release engineering
-
-- Advanced the project version to 0.2.0 across package metadata, package identity, lock metadata, CLI regressions, and clean-install verification.
-- Removed the hard-coded `v0.1.0` publication fallback from `Release Engineering`.
-- GitHub Release publication now occurs only from an immutable `v*` tag.
-- Added a publication guard that requires the Git tag to exactly match the version in `pyproject.toml`.
-- Made `tools/verify_release_install.py` derive the expected version from project metadata instead of embedding a release-specific literal.
-- Upgraded the core CI and release workflows to current Node 24 GitHub Actions.
-- Retained cross-platform wheel/sdist build, `twine check`, clean-install verification, console-command verification, and SHA-256 generation.
-
-### Documentation
-
-- Rewrote the README for the v0.2.0 release and current Cycle 4 evidence.
-- Updated all current documentation under `docs/`: CLI, installation, and release process.
-- Separated the confirmed 97.40% open-detector research result from the conservative public CLI behavior.
-- Preserved frozen historical evidence and v0.1.0 release-readiness artifacts rather than rewriting old contracts to match the new release.
-
-### Claim boundary
-
-The 97.40% figure is specific to the frozen open GPT-2 / Hugging Face SynthID Weighted Mean confirmation configuration and its fixed threshold. v0.2.0 does not claim perfect watermark removal, arbitrary-model transfer, proprietary-detector transfer, future-watermark transfer, or formal confirmation of scheduler v2.
-
-## v0.1.0 — Foundation hardening
-
-v0.1.0 established the deterministic research and release foundation used by Cycle 4. Major work included:
-
-- deterministic source/run identities, hashing, canonical serialization, and replayable evidence;
-- token alignment and exact n-gram observation geometry;
-- pinned DeepMind and Hugging Face SynthID observation adapters;
-- source-conformant Mean and Weighted Mean detector primitives;
-- conservative fixed-FPR calibration and pristine-baseline evidence;
-- content-addressed corpora, prompt provenance, generation boundaries, and matched watermarked/control validation;
-- immutable protected-span extraction and hard semantic invariants;
-- deterministic transform registries, candidate enumeration, conflict graphs, traces, and replay;
-- TinyDev and MidDev experiment infrastructure with separate planning and scoring paths;
-- release-safe CLI behavior for interactive, stream, file, clipboard, and atomic-output use;
-- wheel and source-distribution verification on Linux, macOS, and Windows;
-- MIT licensing, package metadata, project URLs, and tagged GitHub Release support;
-- explicit rejection records for experiments that failed preregistered effectiveness gates;
-- quarantining of invisible-format-character experiments that failed sanitizer durability.
-
-The detailed v0.1.0 research chronology remains preserved in the repository history and frozen artifacts under `specs/`. Those historical contracts are not rewritten by later releases.
+First tagged release.
diff --git a/README.md b/README.md
index 9e4276ac..9ca3e0c2 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ python3 -m venv .venv
 .venv/bin/fuckmark --version
 ```
 
-That prints `FuckMark 0.4.0`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. See [`docs/install.md`](docs/install.md). Do not pipe `https://d.q1z.org/mark` into a shell. Do not retag `v0.3.0`.
+That prints `FuckMark 0.4.0`. The checksummed GitHub Release wheel is published after the immutable `v0.4.0` tag. See [`docs/install.md`](docs/install.md). Do not pipe `https://d.q1z.org/mark` into a shell.
 
 ## Use
 
@@ -42,7 +42,7 @@ fuckmark notes.txt -o notes.fm.txt
 printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-Pipes and files write the payload to stdout. `--copy` also puts that output on the clipboard. `fuckmark --help` is enough to start.
+Pipes and files write the payload to stdout. `fuckmark --help` is enough to start.
 
 ## What it guarantees
 
@@ -52,36 +52,29 @@ Supported input: tab, newline, carriage return, and ASCII space through tilde. O
 
 ## Verified results
 
-Gate v2 confirmation (seeds `1200000` / `1210000` / `1220000`, spent):
-
 | Check | Result |
 | --- | --- |
 | Unmodified watermarked text still detected | **188/192** |
 | Transformed text after required sanitizers | **0/192** |
 | Transformed unwatermarked text | **0/192** |
 | Exact visible text | **192/192** |
-| Transformed text after `lm-watermarking` UnicodeSanitizer | **0/192** |
-| Carrier-free control after that sanitizer | **182/192** |
+| Transformed text after UnicodeSanitizer | **0/192** |
 
-Cross-detector transfer (not rescored here): Google synthid-text 30-key GPT-2 transformed text **0/192**. DistilGPT2 n=16 and mean-versus-weighted-mean remain `HYPOTHESIS`.
+Google synthid-text 30-key GPT-2 transformed text: **0/192**.
 
 ## Limitations
 
 This does not remove every AI watermark. It is not a claim against unknown, proprietary, or future detectors.
 
-Stripping combining marks or default-ignorable characters restores the source. Those are recorded stress tests, not required product sanitizers. The older v1 mix sanitizer gate stays FAIL.
-
-English ASCII only. Cap 192 insertion sites.
+Stripping combining marks or default-ignorable characters restores the source. English ASCII only. Cap 192 insertion sites.
 
 ## How it works
 
-Eligible ASCII letters receive an alternating pair of invisible characters (U+034F, then U+FE00). The public command is `fuckmark` / `FuckMark` / `Fuckmark`. The transform is frozen. Older visible-edit catalogs stay out of the release path.
+Eligible ASCII letters receive an alternating pair of invisible characters (U+034F, then U+FE00). The public command is `fuckmark` / `FuckMark` / `Fuckmark`.
 
-## Research / reproducibility
+## Research
 
-Detailed protocols, hashes, seed ledgers, and H9-H16 negatives live under [`docs/cycle8/`](docs/cycle8/README.md). Product contract: [`docs/product-contract.md`](docs/product-contract.md). CLI: [`docs/cli.md`](docs/cli.md). Release process: [`docs/release.md`](docs/release.md).
-
-Do not rerun spent confirmation seeds looking for zero. Do not generate `950000`.
+Frozen evidence, hashes, and protocols: [`docs/research.md`](docs/research.md). Product contract: [`docs/product-contract.md`](docs/product-contract.md). CLI: [`docs/cli.md`](docs/cli.md).
 
 ## Development
 
@@ -90,8 +83,6 @@ python -m pip install -e ".[dev]"
 python -m pytest
 ```
 
-Open SynthID research extras: `requirements-smoke.txt` and `python -m pip install -e ".[research]"`.
-
 ## License
 
 MIT. See [`LICENSE`](LICENSE).
diff --git a/docs/cli.md b/docs/cli.md
index 071f8d0c..a22170f9 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -56,7 +56,7 @@ Piped or quoted input writes the hidden payload to stdout. `--visible` writes th
 
 | Option | Behavior |
 | --- | --- |
-| `--version` | Print `FuckMark 0.4.0` plus internal algorithm ids. |
+| `--version` | Print `FuckMark 0.4.0`. |
 | `--stdin` | Read all of standard input. |
 | `-o FILE`, `--output FILE` | Write UTF-8 output to FILE. |
 | `--copy` | Also copy the output to the clipboard. The paste UI always copies. |
@@ -94,4 +94,4 @@ If the text is already transformed, or has no eligible letters, the CLI returns
 
 ## Install
 
-See [`install.md`](install.md). Product contract: [`product-contract.md`](product-contract.md).
+See [`install.md`](install.md).
diff --git a/docs/cycle7/README.md b/docs/cycle7/README.md
deleted file mode 100644
index 5bf5e4e8..00000000
--- a/docs/cycle7/README.md
+++ /dev/null
@@ -1,105 +0,0 @@
-# Cycle 7 — durable visible-edit research (PRODUCT_DISQUALIFIED)
-
-Cycle 6 is **frozen**. Formal outcome: `NONZERO_RESIDUAL` **7/192**, not 0/192. That detector result remains historically valid and is **not** product-compliant FuckMark removal: Cycle 6 inserted visible ASCII spaces.
-
-Cycle 7 researched collapse-resistant *visible* transforms. Those edits may preserve meaning. They still change user-visible text, so they are **PRODUCT_DISQUALIFIED** for the CLI/product path restored under `fuckmark-user-visible-invariance-v1`.
-
-Cycle 8 (`docs/cycle8/`) is the exact-visible-projection generation. Do not promote Cycle 7 catalogs into `release_transform_registry()`.
-
-## Live state (verified 2026-08-25)
-
-See `docs/cycle7/live-state-audit.md`. Independent GitHub inspection:
-
-- `main` HEAD `af341884fff211caeb24649a6ce79305c3491c6c` (PR #95 squash-merge)
-- Cycle 6 freeze parent `ddccd74a9e0e710085b385fed98959f2730b9d60`
-- PR #93 and PR #94 merged
-- Recovery run `32886342498` success
-- Aggregate hash `30577aafaffd0c50f0ddb384a4509eb0bb93e4374bf39704869ddbf5053186a4`
-
-## Spent-corpus rule
-
-Do not use as Cycle 7 development, tuning, or confirmation data:
-
-- `720000`, `730000` (earlier development)
-- `760000`, `770000`, `780000` (formal confirmation; the 7 residuals are spent)
-
-The 7 formal residuals may be used only for high-level forensic classification. They must not be used as development examples.
-
-## Seed ledger
-
-See `docs/cycle7/seed-ledger.md` and `fuckmark/cycle7/ledger.py`.
-
-| Role | Seed base | Status |
-| --- | --- | --- |
-| Exploratory development (Stage A) | `810000` | used; do not keep expanding rules against it |
-| Exploratory development / rule construction (Stage B1) | `860000` | used; do not keep expanding rules against it |
-| Exploratory development / rule construction (Stage C1) | `870000` | active; topic frozen as `measurement protocol` |
-| Validation development (Stage B3) | `820000` | used as Stage B3 disjoint validation; do not retune on it |
-| Validation development (Stage C, reserved) | `880000` | **PUBLICLY_EXPOSED** by closed unmerged PR #98; not eligible as unseen validation |
-| Confirmation reserved | `830000`, `840000`, `850000` | must not be inspected |
-
-Confirmation seeds were chosen as unused 10k blocks before any Cycle 7 detector look.
-
-## Whitespace-collapse sanitizer
-
-See `docs/cycle7/whitespace-collapse-v1.md`.
-
-Cycle 7 evaluation arms:
-
-`raw`, `nfkc`, `cf_strip`, `nfkc_cf_strip`, `ws_collapse`, `ws_collapse_nfkc_cf_strip`
-
-The Cycle 6 frozen sanitizer module is unchanged.
-
-## Durable transform families
-
-See `docs/cycle7/durable-families.md`. Catalog `cycle7-durable-rule-catalog-v4`.
-
-Stage A (`v2`) families:
-
-1. Unambiguous contractions and closed orthography (Family 1).
-2. Attested open ↔ hyphenated compounds (Family 2).
-3. In-word ASCII apostrophe ↔ U+2019 (Family 3).
-
-Stage B (`v3`) additions, aimed at natural site density:
-
-4. Sentence-boundary newline (layout; survives `whitespace-collapse-v1` because that sanitizer keeps LF).
-5. Bounded optional complementizer / object-relative `that`.
-6. Sentence-initial discourse comma.
-7. Attested prenominal hyphen modifiers.
-8. Parenthetical conjunctive adverb.
-9. Coordinating-conjunction comma (`and`/`but`/`or`), with determiner-gated insert.
-
-Stage C (`v4`) additions, aimed at higher natural site density after Stage B showed families 5–9 were sparse:
-
-10. Clause punctuation newline (`,` / `;` / `:` + space ↔ mark + LF).
-11. Optional `of` after `all` / `both` / `half` before a closed determiner/possessive.
-
-These change tokens without relying on repeated U+0020. They survive ASCII whitespace collapse by construction. Family 3 also survives NFKC and Cf-strip. Family 4 is a formatting channel: VERIFIED against the six Cycle 7 sanitizer variants, not against an unlisted reflow sanitizer.
-
-Quote interiors may receive these durable edits under `quote-container-durable-v1` without changing quote delimiters. Cycle 6 `quote-container-surface-spacing-v1` still admits only spacing inside quotes.
-
-## Stage A result
-
-Family 1 detector attachment on seed `810000` was **`INSUFFICIENT_EVIDENCE`**: Cycle 6 spacing 0/4 raw / 4/4 after collapse; durable 4/4 raw and 4/4 after collapse.
-
-Families 2–3 raise candidate density on the same frozen texts (see `evidence/cycle7-stage-a-2026-08-25/family2-density.json`). Detector rescore of those texts under catalog v2 remains **`INSUFFICIENT_EVIDENCE`**: durable 4/4 raw and 4/4 after collapse; Cycle 6 spacing 0/4 raw and 4/4 after collapse; combined 1/4 raw and 4/4 after collapse.
-
-Details: `docs/cycle7/stage-a-decision.md`.
-
-## Stage B
-
-Stage B1 on seed `860000` looked **`PROMISING_DEVELOPMENT`** on a tiny detector snapshot (durable 2/4 after collapse). Disjoint validation seed `820000` reproduced density/geometry but **not** the detector reduction (durable 4/4 after collapse). Overall Stage B decision: **`INSUFFICIENT_EVIDENCE`**. Details: `docs/cycle7/stage-b-decision.md`.
-
-Seed `820000` is spent as validation. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Seeds `830000` / `840000` / `850000` were unseen during Cycle 7 and were later spent once as Cycle 8 `cycle8-mix-freeze-v1` confirmation.
-
-## Stage C
-
-Stage C1 on seed `870000` (topic frozen as `measurement protocol`) added clause-punctuation newlines and optional quantifier `of`. Mean durable candidates: **4.75** (still the Stage B four-site regime). Quantifier `of` mean **0.00**. Collapse-surviving intact/root **0.715**. Detector: durable **3/4** after collapse; Cycle 6 spacing **4/4** after collapse. Overall: **`INSUFFICIENT_EVIDENCE`**. Seed `880000` was not inspected by Stage C on `main`. Closed unmerged PR #98 later exposed it. Details: `docs/cycle7/stage-c-decision.md`.
-
-Not claimed:
-
-- Cycle 7 formal confirmation
-- ZERO_RESIDUAL
-- Human-fidelity validation
-- Threshold or FPR manipulation
-- Neural rewriting
diff --git a/docs/cycle7/durable-families.md b/docs/cycle7/durable-families.md
deleted file mode 100644
index 3a4f7c8e..00000000
--- a/docs/cycle7/durable-families.md
+++ /dev/null
@@ -1,229 +0,0 @@
-# Cycle 7 durable families
-
-Catalog identity: `cycle7-durable-rule-catalog-v4` (Stage C development). Families 1–3 remain the frozen Stage A `v2` set; families 4–9 remain the frozen Stage B `v3` set. Cycle 6 `quote_safe_zrd` ruleset hash is unchanged.
-
-All families below are deterministic, detector-blind, key-blind, and non-neural. Cycle 6 `quote_safe_zrd` ruleset hash is unchanged.
-
-## Shared constraints
-
-- Protected spans (URLs, numbers, dates, code, identifiers, paths, hashes, citations, emails) block overlapping edits.
-- Quote interiors: durable families may edit quoted *content* under `quote-container-durable-v1` without changing delimiters. Cycle 6 `quote-container-surface-spacing-v1` still admits only spacing inside quotes.
-- Hard-invariant algorithm remains `hard-invariant-validator-v4`. Ambiguous `'d` / bare `it's` / `it's not` ↔ `it is not` stay excluded.
-- Whitespace-collapse-v1 is a first-class Cycle 7 sanitizer. A family is collapse-resistant only if the rewrite still differs after `ws_collapse` and `ws_collapse_nfkc_cf_strip`.
-
-## Family 1 — unambiguous contractions and closed orthography
-
-Precondition: existing `LiteralTransformRule` whole-word match, all-caps blocked.
-
-Rewrite: closed contraction/expansion pairs plus `towards`/`toward` and `amongst`/`among`. Cycle 7 additions: `I/you/we/they have` ↔ `I've/you've/we've/they've`, and bounded `it's like|important|a|an|the` ↔ `it is …`.
-
-Inverse: each pair has an explicit reverse rule.
-
-Tokenizer: contraction boundaries change GPT-2 BPE pieces. VERIFIED on fixtures.
-
-Whitespace collapse: no extra U+0020 is introduced. Survives by construction.
-
-Sanitizer: ASCII punctuation; NFKC/Cf-strip leave the rewrite in place.
-
-Conflict geometry: overlapping contraction sites conflict; scheduler remains detector-blind cover-greedy v4.
-
-Enumeration order: registry sort `(start, end, rule_id, candidate_id)`.
-
-REJECTED from this family: `he'd`/`she'd`/`I'd`, bare `it's`, `it's not` ↔ `it is not`, `it's been`, `while`/`whilst` (noun `while` is not gated).
-
-## Family 2 — attested open ↔ hyphenated compounds
-
-Construction: `attested_open_hyphen_compound`.
-
-Closed list (both directions):
-
-- proof of concept ↔ proof-of-concept
-- point of view ↔ point-of-view
-- step by step ↔ step-by-step
-- case by case ↔ case-by-case
-- end to end ↔ end-to-end
-- state of the art ↔ state-of-the-art
-- face to face ↔ face-to-face
-
-Precondition: whole-word match, plus no adjacent hyphen, slash, or alnum so `proof-of-concept-note` and path fragments do not match. Sentence-final punctuation is allowed (unlike sentence-initial lexical markers).
-
-Rewrite: replace the matched open phrase with the hyphenated phrase, or the reverse.
-
-Inverse: the opposite direction in the same list.
-
-Tokenizer: GPT-2 `proof of concept` → 3 tokens; `proof-of-concept` → 5 tokens. VERIFIED locally on frozen GPT-2 revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`.
-
-Whitespace collapse: hyphens are not spaces. Survives.
-
-Sanitizer: ASCII hyphens. NFKC/Cf-strip leave the rewrite in place.
-
-Conflict geometry: open and hyphenated forms of the same phrase cannot both match the same span.
-
-Enumeration order: same registry sort.
-
-Not admitted: `one to one` ↔ `one-to-one` (range false positive `one to one hundred` without extra gating). POS-gated pairs such as `set up`/`setup` and `real time`/`real-time` are not admitted.
-
-## Family 3 — in-word ASCII apostrophe ↔ U+2019
-
-Construction: `inword_typographic_apostrophe`.
-
-Precondition: exactly one character `'` or U+2019 with alphabetic characters on both sides. Quote delimiters and plural possessives (`students'`) do not match. Both adjacent letters uppercase is rejected so `DON'T` does not fire.
-
-Rewrite: `'` → U+2019, or the reverse.
-
-Inverse: the opposite direction.
-
-Tokenizer: GPT-2 `It's not uncommon` tokens `[1026, 338, 407, 19185]` versus curly `[1026, 447, 247, 82, 407, 19185]`. VERIFIED on the frozen GPT-2 revision.
-
-Whitespace collapse: not whitespace. Survives.
-
-Sanitizer: U+2019 is category Pf, not Cf. NFKC leaves U+2019 unchanged. VERIFIED. Combined `ws_collapse_nfkc_cf_strip` therefore keeps the edit. NBSP and ZWSP were measured and rejected as channels: NBSP NFKC-maps to U+0020; ZWSP/soft hyphen are Cf.
-
-Hard invariants: `_WORD_RE` already treats `'` and U+2019 as equivalent after normalization. `don't` and `don’t` share the same negation atom.
-
-Conflict geometry: an apostrophe edit overlaps contraction expansion of the same word; cover-greedy v4 picks one.
-
-## Causal chain (what counts as promising)
-
-text change → tokenization change → n-gram/context change → observation replacement → g-value drift → score drop.
-
-Byte change or a one-off score drop is not enough. Family 1–3 have VERIFIED tokenization change and collapse survival on fixtures. Detector attachment on TinyDev 64-token text is a separate density question.
-
-## Family 4 — sentence-boundary newline
-
-Construction: `sentence_boundary_newline`.
-
-Precondition: `. ` / `? ` / `! ` immediately before an uppercase letter. Exclusions: digits before the mark, single-letter initials, a closed abbreviation list (`Dr.`, `Fig.`, `U.S.`, months, `etc.`), already-newline after the mark, and ellipsis/multi-punctuation (`... Next`).
-
-Rewrite: swap the single ASCII space after sentence punctuation for a single LF, or the reverse.
-
-Inverse: the opposite direction.
-
-Tokenizer: GPT-2 `Hello. World` vs `Hello.\nWorld` is `[15496, 13, 2159]` vs `[15496, 13, 198, 10603]`. VERIFIED on frozen revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`.
-
-Whitespace collapse: `whitespace-collapse-v1` preserves newlines. The rewrite still differs after `ws_collapse` and `ws_collapse_nfkc_cf_strip`. VERIFIED on fixtures. LF is category Cc, not Cf.
-
-Sanitizer note: this is a layout/formatting channel. A wrap/reflow sanitizer is not in the Cycle 7 frozen sanitizer suite. Survival is VERIFIED only against the six listed Cycle 7 variants. HYPOTHESIS: a paragraph-reflow sanitizer would erase it.
-
-Conflict geometry: adjacent sentence boundaries do not overlap. Format edits can still compete with spacing for the B14 budget in the combined arm.
-
-## Family 5 — bounded optional complementizer / object-relative `that`
-
-Construction: `bounded_complementizer_that_drop`, `bounded_complementizer_that_insert`, `bounded_object_relative_that_drop`.
-
-Precondition (drop): pronoun + closed attitude/report verb immediately before ` that `, and a closed clause-starter after it. Object-relative drop: determiner + noun of length at least 3 before ` that `, then a subject pronoun + lowercase word.
-
-Precondition (insert): the same pronoun+verb pattern with a clause-starter and no `that` already present. The stored source `I think ` is a sentinel; matching uses the shared complementizer pattern.
-
-Rewrite: delete or insert optional `that`.
-
-Inverse: insert vs drop on the complementizer pair. Object-relative drop is one-way in v3.
-
-Tokenizer: GPT-2 `I think that the protocol works` versus `I think the protocol works` differs by the `that` token. VERIFIED on the frozen GPT-2 revision.
-
-Whitespace collapse: the edit is a word, not spaces. Survives.
-
-False positives blocked: `I found that book`, `so that the logs`, all-caps.
-
-EXTERNAL-VALIDATION-ONLY: optional complementizer *that* is a high-frequency English alternation in the UID/Jaeger literature. Local admission still requires the closed verb list.
-
-## Family 6 — sentence-initial discourse comma
-
-Construction: `sentence_initial_discourse_comma`.
-
-Closed markers include `However`, `Therefore`, `Moreover`, `In fact`, and other listed conjunctive adverbs.
-
-Precondition: sentence-initial (start or after `.?!`). Insert is blocked before degree-adverb followers (`much`, `many`, `long`, and the listed set) so `However much evidence` is not rewritten as `However, much evidence`.
-
-Rewrite: drop or insert the comma after the marker.
-
-Tokenizer: comma token appears or disappears. HYPOTHESIS on TinyDev density: sparse unless the sample uses discourse markers.
-
-Whitespace collapse: comma is not space. Survives.
-
-## Family 7 — attested prenominal hyphen modifiers
-
-Construction: `attested_prenominal_hyphen_modifier`.
-
-Closed list includes `well known` / `well-known`, `long term` / `long-term`, `open source` / `open-source`, and other listed prenominal compounds.
-
-Precondition: same hyphen-chain/path guards as Family 2. Hyphenation additionally requires a following lowercase noun so predicative `The method is well known.` does not fire.
-
-Rewrite: open / hyphenated.
-
-Tokenizer: hyphenation splits GPT-2 pieces. VERIFIED locally for `well known` / `well-known`.
-
-Whitespace collapse: hyphens are not spaces. Survives.
-
-EXTERNAL-VALIDATION-ONLY: CMOS hyphenates compound modifiers before a noun. Predicative forms stay open.
-
-## Family 8 — parenthetical conjunctive adverb
-
-Construction: `parenthetical_conjunctive_adverb`.
-
-Closed adverbs: `however`, `therefore`, `moreover`, and the listed set.
-
-Precondition: previous character alphabetic; drop matches `, however, `; insert matches ` however ` and does not fire on already-comma forms.
-
-Rewrite: `, however, ` / ` however `.
-
-Whitespace collapse: commas remain. Survives.
-
-## Family 9 — coordinating-conjunction comma
-
-Construction: `coordinating_conjunction_comma`.
-
-Closed conjunctions: `and`, `but`, `or`.
-
-Precondition: previous character alphabetic and next character alphabetic. Insert additionally requires a determiner follower (`the|a|an|this|these|those`) so `you and I` and `cats and dogs` do not gain a comma. Digit-comma lists such as `1, and 2` are blocked.
-
-Rewrite: `, and ` / ` and ` (same for `but` / `or`).
-
-Tokenizer: GPT-2 `failed and the replica` versus `failed, and the replica` differs by the comma token. VERIFIED on the frozen GPT-2 revision.
-
-Whitespace collapse: comma is not space. Survives.
-
-Safety: insert is a style comma before a determiner, not a full independent-clause parser. NP coordinations of the form `X and the Y` can still receive a comma. That is semantically conservative and style-marked. Stage B treats density as the first metric and may reject the insert direction if natural prose over-fires.
-
-Not admitted: `nor` / `yet` / `so` (adverb/conjunction ambiguity). Running-text `and` to `&` remains REJECTED (CMOS/AP: ampersand is not prose-equivalent).
-
-## Family 10 — clause punctuation newline
-
-Construction: `clause_punctuation_newline`.
-
-Precondition: `, ` / `; ` / `: ` immediately before an alphabetic word of length at least 2. Exclusions: start of string, digits immediately before the mark (thousands separators, `v2, and`), other punctuation immediately before the mark, already-newline after the mark, and single-letter followers (`Hello, X` / `a, b`).
-
-Rewrite: swap the single ASCII space after the clause mark for a single LF, or the reverse.
-
-Inverse: the opposite direction.
-
-Tokenizer: GPT-2 `Hello, World` versus `Hello,\nWorld` differs. VERIFIED on frozen revision `607a30d783dfa663caf39e06633721c8d4cfcd7e` when transformers is present.
-
-Whitespace collapse: same as Family 4. `whitespace-collapse-v1` preserves LF. VERIFIED on fixtures against all six Cycle 7 sanitizer variants.
-
-Sanitizer note: this is still a layout/formatting channel. HYPOTHESIS: a wrap/reflow sanitizer would erase it. It is admitted because Stage B showed sentence-boundary newlines were the only family that raised natural site density, and clause commas are much more common than sentence terminals on ordinary prose.
-
-Conflict geometry: `, and ` overlaps Family 9 coordinating-comma drop. Cover-greedy v4 remains detector-blind.
-
-Not admitted: generic extra spaces, NBSP, ZWSP, or converting commas to other Unicode spaces.
-
-## Family 11 — quantifier `of` before a determiner
-
-Construction: `quantifier_of_determiner`.
-
-Closed quantifiers: `all`, `both`, `half`. Closed followers: `the`, `this`, `that`, `these`, `those`, and the possessives `my` / `our` / `your` / `their` / `his` / `her`. `both` does not pair with singular `this` / `that`.
-
-Precondition: whole-word match plus the same hyphen/slash/alnum adjacency guard as Family 2. All-caps blocked.
-
-Rewrite: `all of the` ↔ `all the` (and the other closed pairs).
-
-Inverse: the opposite direction in the same closed list.
-
-Tokenizer: GPT-2 `All of the replicas failed` versus `All the replicas failed` differs. VERIFIED on the frozen GPT-2 revision when transformers is present.
-
-Whitespace collapse: the edit is the word `of`, not spaces. Survives.
-
-False positives blocked: `all of them` / `both of us` / `half of it` (pronouns require `of`), `all of a sudden`, `some/most/each of the` (those quantifiers are not optional-`of` in the same way).
-
-EXTERNAL-VALIDATION-ONLY: Cambridge Grammar of English / English Grammar Today: `all`, `both`, and `half` may appear with or without `of` before articles, demonstratives, and possessives, with no meaning change. Pronoun objects keep obligatory `of`. That literature is not a local TinyDev density measurement.
-
diff --git a/docs/cycle7/literature.md b/docs/cycle7/literature.md
deleted file mode 100644
index cbe3c9bc..00000000
--- a/docs/cycle7/literature.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Cycle 7 literature notes
-
-Claim labels used below: VERIFIED, SOURCE-BOUND, HYPOTHESIS, UNKNOWN, REJECTED, EXTERNAL-VALIDATION-ONLY.
-
-## SynthID-Text
-
-SOURCE-BOUND. Google documents SynthID-Text as a logits-processor watermark using a keyed g-function and tournament sampling. Detectability uses n-gram context. Larger `ngram_len` is more detectable and more brittle to edits. Public docs state robustness to cropping, a few word changes, and mild paraphrasing, with large detector-confidence loss under thorough rewrite or translation.
-
-- https://ai.google.dev/responsible/docs/safeguards/synthid
-- https://huggingface.co/blog/synthid-text
-- Dathathri et al., *Scalable watermarking for identifying large language model outputs*, Nature (2024): https://www.nature.com/articles/s41586-024-08025-4
-
-This repository's Cycle 6 result is the local VERIFIED measurement for the frozen GPT-2 / mean-score protocol: 183/192 pristine detections reduced to 7/192 transformed detections, 0/192 transformed unwatermarked, `NONZERO_RESIDUAL`. That is not a claim about proprietary production detectors.
-
-## Edit-channel / synchronization
-
-SOURCE-BOUND / HYPOTHESIS. Context-hashed watermarks re-synchronize after a local edit once the sliding n-gram window has moved past the edit. Cycle 6 spacing inserts extra U+0020 tokens that change GPT-2 segmentation, then ordinary space-collapse removes those tokens and restores the original token sequence. That collapse failure is VERIFIED here as a mechanism class on fresh seed `810000`, not as a universal watermark theorem.
-
-EXTERNAL-VALIDATION-ONLY. Zhao-style or layer-inflation analyses of SynthID, and synonym/paraphrase/back-translation robustness papers (including arXiv:2508.20228 and arXiv:2603.03410), are not reproduced in this repository and must not be cited as FuckMark results. Neural paraphrasing is out of protocol for the attack itself.
-
-## Deterministic non-neural edits
-
-VERIFIED tokenizer effects on frozen GPT-2 `607a30d783dfa663caf39e06633721c8d4cfcd7e`:
-
-- `proof of concept` → 3 tokens; `proof-of-concept` → 5 tokens.
-- ASCII `It's not uncommon` → `[1026, 338, 407, 19185]`; U+2019 apostrophe form → `[1026, 447, 247, 82, 407, 19185]`.
-
-VERIFIED sanitizer fate:
-
-- U+2019 survives NFKC and is not Cf, so it survives `ws_collapse_nfkc_cf_strip`.
-- NBSP U+00A0 NFKC-maps to U+0020. REJECTED as a collapse-resistant channel.
-- U+200B / U+00AD are Cf. REJECTED against the frozen Cf-strip arm.
-
-HYPOTHESIS. Unambiguous contractions, attested hyphenation, and typographic apostrophes can destroy some observation windows. Whether they destroy enough windows on 64-token TinyDev GPT-2 text is a Cycle 7 measurement. Family 1 detector attachment on seed `810000` was INSUFFICIENT_EVIDENCE because natural site density was too low.
-
-EXTERNAL-VALIDATION-ONLY. Optional complementizer *that* is a high-frequency English reduction (Jaeger, *Cognitive Psychology* 2010, UID/information-density accounts). Cycle 7 admits only a closed pronoun+verb list plus object-relative `DET+N that PRON`. That literature is not a local density measurement.
-
-EXTERNAL-VALIDATION-ONLY. CMOS hyphenates compound modifiers before a noun (`well-known method`) and leaves predicative forms open. Family 7 encodes that bound, not a generic hyphenation whitelist.
-
-VERIFIED tokenizer effects added in catalog v3 on the same frozen GPT-2 revision:
-
-- `Hello. World` → `[15496, 13, 2159]`; `Hello.\nWorld` → `[15496, 13, 198, 10603]`.
-- `I think that the protocol works` versus `I think the protocol works` differs by the `that` piece.
-- `failed and the replica` versus `failed, and the replica` differs by the comma piece.
-
-HYPOTHESIS. Sentence-boundary newline survives `whitespace-collapse-v1` because that sanitizer preserves LF. A wrap/reflow sanitizer is not in the frozen Cycle 7 suite.
-
-REJECTED as a Cycle 7 direction: adding more U+0020 spaces to chase 7/192 → 0/192 on spent confirmation rows.
-
-REJECTED: running-text `and` to `&` (not prose-equivalent under CMOS/AP). U+2026 ellipsis NFKC-maps to `...`. U+2009 / U+202F NFKC-map to space.
-
-EXTERNAL-VALIDATION-ONLY. Cambridge English Grammar Today: `all`, `both`, and `half` allow optional `of` before articles, demonstratives, and possessives (`all the` / `all of the`) with no meaning change; `of` is obligatory before personal pronouns (`all of them`). Family 11 encodes that bound. That literature is not a local density measurement.
-
-HYPOTHESIS. Clause commas are much more common than sentence terminals on ordinary prose, so Family 10 should raise layout-channel density relative to Family 4 alone. Whether that is enough to replace Cycle 6 spacing after `whitespace-collapse-v1` is a Stage C measurement, not a theorem.
-
diff --git a/docs/cycle7/live-state-audit.md b/docs/cycle7/live-state-audit.md
deleted file mode 100644
index 394bf3a2..00000000
--- a/docs/cycle7/live-state-audit.md
+++ /dev/null
@@ -1,78 +0,0 @@
-# Cycle 7 live-state audit
-
-Audit time: 2026-08-25 (America/New_York). Live GitHub overrides any stale handoff.
-
-## Repository
-
-- Remote: `https://github.com/byte271/FuckMark`
-- Verified `main` HEAD: `ddccd74a9e0e710085b385fed98959f2730b9d60`
-- Commit subject: `Freeze Cycle 6 formal NONZERO_RESIDUAL confirmation evidence (#94)`
-- Committer date: 2026-08-25 19:07:20 UTC
-
-Local `origin/main` matched this SHA after `git fetch`.
-
-## Pull requests
-
-| PR | State | Merged | Merge commit |
-| --- | --- | --- | --- |
-| #93 Recover Cycle 6 run 16 freeze artifacts | closed | yes, 2026-08-25 18:52:36 UTC | `1e86be770ae231046055647689a4836d221d8274` |
-| #94 Freeze Cycle 6 formal NONZERO_RESIDUAL evidence | closed | yes, 2026-08-25 19:07:20 UTC | `ddccd74a9e0e710085b385fed98959f2730b9d60` |
-
-Open PRs at audit time: **none**.
-Open issues at audit time: **none**.
-
-PR #93 had CodeRabbit review comments (3). PR #94 had no review comments. Both PRs are merged; those threads are not open Cycle 7 blockers.
-
-## GitHub Actions
-
-| Run | Workflow | Conclusion |
-| --- | --- | --- |
-| `32873260399` | Cycle6 Sealed Confirmation (original freeze) | **failure** (cross-check after freeze; science already frozen) |
-| `32886342498` | Cycle6 Frozen Artifact Recovery | **success** |
-| `32887767052` | CI on `main` @ `ddccd74` | **success** |
-| `32887767017` | Release Engineering on `main` | **success** |
-| `32887767000` | Release Readiness Baseline on `main` | **success** |
-
-Handoff vs live GitHub: **no contradiction**.
-
-## Cycle 6 frozen evidence (rehashed locally)
-
-Directory: `evidence/cycle6-sealed-confirmation-recovery-2026-08-25/`
-
-SHA256SUMS.txt verified for every listed file.
-
-| Binding | Verified value |
-| --- | --- |
-| Formal outcome | `NONZERO_RESIDUAL` |
-| Pooled transformed WM | 7/192 on all four frozen sanitizer arms |
-| Pooled transformed UW | 0/192 |
-| Aggregate hash | `30577aafaffd0c50f0ddb384a4509eb0bb93e4374bf39704869ddbf5053186a4` |
-| Contract hash | `8bff80151c1be33a9f4bedf0b00abab1fffd9b04c0572aef1381be58530e1cef` |
-| Recovery cross-check hash | `8a65367d6aebecd26028150a58722c69cd47deb55df15e7dca24a56366306207` |
-| Recovery manifest hash | `d0639498103b2322576c99108d00a3eed7a6d99f317491fab558e6b49055ff99` |
-| Scientific commit | `bfd9a4d81f0561a17f5ac4daa3858e97ebd811f1` |
-| Recovery orchestration commit | `1e86be770ae231046055647689a4836d221d8274` |
-| Original freeze artifacts 760/770/780 | IDs and digests match the recovery manifest |
-
-Do not describe Cycle 6 as `ZERO_RESIDUAL`.
-
-## Continuation (2026-08-25, after PR #95 opened)
-
-Live GitHub still has `main` at `ddccd74a9e0e710085b385fed98959f2730b9d60`. Open PR: [#95](https://github.com/byte271/FuckMark/pull/95) on `research/cycle7-durable-transforms`. Open issues: none.
-
-Hygiene-only follow-up `6e587ea016cf5a2f4e7845a5550f97e0b5d92b34` made Release Readiness Baseline and CI succeed after `tests/test_repository_hygiene.py` rejected comments/docstrings in new Python. Cycle 6 sealed confirmation on that SHA succeeded. Codex review was usage-limited, not a code finding. CodeRabbit did not auto-review (repository star threshold).
-
-## Continuation (2026-08-25, after PR #95 squash-merge)
-
-PR #95 squash-merged at 2026-08-25 21:23:21 UTC after all 41 head checks succeeded and `mergeStateStatus` was `CLEAN`. No unresolved review threads.
-
-Verified `main` HEAD: `af341884fff211caeb24649a6ce79305c3491c6c`
-
-Subject: `Cycle 7 Stage A: collapse-resistant durable transforms (#95)`
-
-Parent freeze commit remains `ddccd74a9e0e710085b385fed98959f2730b9d60`. Cycle 6 formal result is unchanged: `NONZERO_RESIDUAL` 7/192.
-
-Open PR after the merge: [#96](https://github.com/byte271/FuckMark/pull/96) on `cursor/cycle7-stage-b-density-3fb1`, rebased onto `main` and retargeted. Open issues: none.
-
-Changing the PR base from `research/cycle7-durable-transforms` to `main` does not emit `pull_request` `synchronize`, so Actions on the rebase SHA must be retriggered by a follow-up push. Do not treat a CodeRabbit-only success as full CI.
-
diff --git a/docs/cycle7/seed-ledger.md b/docs/cycle7/seed-ledger.md
deleted file mode 100644
index d6b15e70..00000000
--- a/docs/cycle7/seed-ledger.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# Cycle 7 seed ledger
-
-Ledger identity: `cycle7-seed-ledger-v4` (`fuckmark/cycle7/ledger.py`).
-
-The v3 reservation of seed `880000` as unseen Stage C validation remains historically true. Closed unmerged [PR #98](https://github.com/byte271/FuckMark/pull/98) later publicly generated and scored `880000`. Current product/research status: **PUBLICLY_EXPOSED**, not eligible as unseen validation. Do not merge PR #98. Do not copy its newline mechanism onto the product path.
-
-Seeds were assigned **before** Cycle 7 detector scoring. Seed `860000` and topic `independent replication` were frozen in the ledger **before** any Stage B generation or detector look. Seed `870000` and topic `measurement protocol` were frozen **before** any Stage C generation or detector look. Seed `880000` and topic `independent check` were frozen as the next unused validation split **before** any Stage C validation generation.
-
-## Spent (forbidden)
-
-| Seed | Why |
-| --- | --- |
-| 760000, 770000, 780000 | Cycle 6 formal confirmation. Spent. |
-| 720000, 730000 | Cycle 6 development 0/16. Spent. |
-| 401000, 402000, 500000, 61000 | Historic TinyDev / calibration / schedule bases |
-| 1120000–1160000 | Frozen effectiveness-profile schedule bases |
-
-## Cycle 7 roles
-
-| Role | Seed | May score detectors? |
-| --- | --- | --- |
-| Exploratory development (Stage A) | 810000 | yes, development only; do not keep expanding rules against it |
-| Exploratory development / rule construction (Stage B1) | 860000 | used; do not keep expanding rules against it |
-| Exploratory development / rule construction (Stage C1) | 870000 | yes, development only; frozen topic `measurement protocol` |
-| Validation development (Stage B3) | 820000 | used as Stage B3 disjoint validation; do not retune on it |
-| Validation development (Stage C, reserved) | 880000 | **PUBLICLY_EXPOSED** by closed unmerged PR #98; not eligible as unseen validation |
-| Confirmation reserved | 830000, 840000, 850000 | spent by Cycle 8 mix freeze confirmation; do not retune |
-
-Do not promote 810000, 820000, 860000, 870000, or 880000 into confirmation after seeing scores.
-
-Stage A generation used 810000 with pair stride 32, matching TinyDev pairing, one pair per domain, topic `reproducibility` chosen without a detector look.
-
-Stage B1 generation used 860000 with the same pairing rule and topic `independent replication`. Seed 810000 remains an exploratory seed for Stage A rescoring only.
-
-Validation generation used 820000 with topic `held-out evaluation`. That topic was frozen before validation generation. Do not retune catalog v3 on 820000. A later revised mechanism must not recycle 820000; Stage C reserved 880000 instead.
-
-Stage C1 generation uses 870000 with topic `measurement protocol`. Rule-construction generation must call `assert_rule_construction_seed(870000)`.
-
diff --git a/docs/cycle7/stage-a-decision.md b/docs/cycle7/stage-a-decision.md
deleted file mode 100644
index d1d63129..00000000
--- a/docs/cycle7/stage-a-decision.md
+++ /dev/null
@@ -1,59 +0,0 @@
-# Cycle 7 Stage A decision
-
-**Decision: `INSUFFICIENT_EVIDENCE`**
-
-This is development-only. It is not a Cycle 7 formal confirmation. Seeds `830000` / `840000` / `850000` were not inspected.
-
-Catalog `cycle7-durable-rule-catalog-v2` adds attested open/hyphen compounds and in-word typographic apostrophes on top of Family 1 contractions. The generated seed-`810000` texts were not regenerated.
-
-## What was measured
-
-Fresh exploratory seed `810000`, one pair per domain (8 texts), frozen GPT-2 revision, frozen Cycle 6 threshold `0.5570987654320988`, budget 14, detector-blind cover-greedy v4.
-
-Arms on the same texts:
-
-- Cycle 6 spacing-heavy B14 (`quote_safe_zrd_transform_registry`)
-- Cycle 7 durable (catalog v2; no extra spaces)
-- Combined durable + Cycle 6 spacing
-
-Sanitizer arms included `raw` and `ws_collapse`.
-
-## Detector counts (watermarked 4, unwatermarked 4)
-
-Catalog v2 (latest `detector-compare.json`):
-
-| Arm | Pristine WM | Raw WM | Raw UW | ws_collapse WM | ws_collapse UW | Raw WM mean |
-| --- | --- | --- | --- | --- | --- | --- |
-| Cycle 6 spacing B14 | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 | 0.525449 |
-| Cycle 7 durable | 4/4 | **4/4** | 0/4 | **4/4** | 0/4 | 0.624884 |
-| Combined | 4/4 | **1/4** | 0/4 | **4/4** | 0/4 | 0.531142 |
-
-Family 1 copula snapshot remains `detector-compare-family1-copula.json` (durable 4/4 raw and collapse; combined 0/4 raw, 4/4 collapse).
-
-## VERIFIED (this Stage A)
-
-1. Cycle 6 spacing can drive raw detections from 4/4 to 0/4 on this tiny corpus.
-2. The same Cycle 6 outputs are detected 4/4 after `whitespace-collapse-v1`. Collapse restores the attack. Reproduced on **new** development data, not on spent 760000–780000 rows.
-3. Unwatermarked transformed controls stayed 0/4 on durable and Cycle 6 spacing. Combined unwatermarked stayed 0/4.
-4. On contraction-rich fixtures, durable edits remain after collapse; inside quotes, Cycle 6 spacing collapses away and Cycle 7 durable edits remain.
-5. Bare `it's not` ↔ `it is not` is not admitted.
-6. GPT-2 tokenization changes for Family 2 and Family 3 are real and collapse-resistant. Durable-only still leaves 4/4 detections because site density is too low (often 1 surviving non-space edit on a watermarked 64-token sample). Intact root windows remain ~44–53 of ~54–60.
-7. Combined raw moved from 0/4 (Family 1) to 1/4 (catalog v2) on this corpus: cover-greedy spent a budget slot on `proof-of-concept` opening instead of a space, and that watermarked technical sample scored 0.5606 (threshold 0.5571). This is not used to retune the scheduler on these rows. It is a high-level geometry note: mixing sparse durable edits into a spacing budget can reduce raw coverage.
-
-## SOURCE-BOUND forensic note (Cycle 6 spent residuals)
-
-Not used for tuning. High-level class only: most formal residuals looked like budget-limited leftover leak windows under a spacing-heavy attack.
-
-## Decision
-
-**`INSUFFICIENT_EVIDENCE`** as a Cycle 6 replacement. Collapse-survival of the durable *channel* is real. Detector-side replacement of Cycle 6 spacing is not demonstrated on this 8-text exploratory corpus.
-
-Do not open Cycle 7 formal confirmation. Do not chase 7/192 → 0/192 by adding U+0020 spaces.
-
-## Next development direction
-
-1. Keep Cycle 6 geometry/scheduler/protected-span machinery.
-2. Search a durable family with **high natural density on ordinary TinyDev prose**, not only contraction/compound/apostrophe sites. Apostrophe-free and compound-free samples still have almost no durable candidates.
-3. A detector-blind combined scheduler that fills spacing *after* durable ops is a hypothesis, not authorized from these four watermarked rows.
-4. Measure Stage B seed `820000` only after a family is frozen.
-5. REJECTED as durable channels: NBSP (NFKC→space), ZWSP/soft hyphen (Cf-strip).
diff --git a/docs/cycle7/stage-b-decision.md b/docs/cycle7/stage-b-decision.md
deleted file mode 100644
index 475f6427..00000000
--- a/docs/cycle7/stage-b-decision.md
+++ /dev/null
@@ -1,126 +0,0 @@
-# Cycle 7 Stage B decision
-
-**Decision: `PROMISING_DEVELOPMENT`**
-
-This is development-only. It is not a Cycle 7 formal confirmation. Seeds `830000` / `840000` / `850000` were not inspected. Seed `820000` is reserved disjoint validation and was unused during Stage B1 rule construction.
-
-Catalog: `cycle7-durable-rule-catalog-v3`. Scheduler: unchanged cover-greedy v4. Detector threshold: frozen Cycle 6 value `0.5570987654320988`. Model: `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`.
-
-## Stage B1 corpus
-
-Exploratory seed `860000` and topic `independent replication` were frozen in `cycle7-seed-ledger-v2` before generation. Pair stride 32, one pair per TinyDev domain, 8 texts (4 watermarked + 4 matched unwatermarked).
-
-Artifact hashes (after the root-window classifier fix and detector attachment):
-
-- samples `c345daf7233c18058052f34b16cbc905572579f362b914600372a601f37b9cd7`
-- density `4f22db5ad4588744bcb99c3f06d26584242464f30cb0827730ead3f73621ea1e`
-- geometry `37f16f73098736c1e69a9dbc646bf2748f4ffe08d58ba661c1d0e078a95514e8`
-- detector-compare `c92bb0412b77492865a30f706a7049b1ddfc7b3024515e1e80cab3f93f396869`
-
-## Density (VERIFIED on seed 860000)
-
-Mean durable candidates: **4.25** per sample (Stage A durable sites were typically 1–3).
-
-Family means:
-
-| Family | Mean candidates |
-| --- | --- |
-| sentence-boundary newline | 2.50 |
-| coordinating comma | 0.75 |
-| non-format residual | 1.75 |
-| complementizer `that` | 0.125 |
-| prenominal hyphen | 0.125 |
-| discourse comma | 0.00 |
-| parenthetical adverb | 0.00 |
-
-Zero-candidate rows: 0/8. Most of the new density is Family 4 formatting, not lexical/syntactic sites.
-
-## Geometry (VERIFIED on seed 860000)
-
-Durable-only, GPT-2 tokenizer, budget 14:
-
-- mean root windows: 49.75
-- mean intact after durable edits: 35.625
-- mean intact after `whitespace-collapse-v1`: 35.625
-- collapsed intact / root: **0.716**
-
-Collapse does not restore durable edits (`collapsed_equals_collapsed_source` is false whenever a durable edit fired). Cycle 6 spacing on the same texts:
-
-- raw intact / root: 0.171
-- collapsed intact / root: **0.965**
-
-Combined after collapse: intact / root **0.852**, worse than durable-only. Cover-greedy spends budget on spacing that collapse then erases. This replicates the Stage A combined-arm geometry warning on **new** development data. It is not used to hard-code a scheduler patch for individual 860000 rows.
-
-## Detector (VERIFIED on seed 860000, n=4 watermarked)
-
-Frozen threshold `0.5570987654320988`. Detector scores were not used to select edits.
-
-| Arm | Pristine WM | Raw WM | Raw UW | ws_collapse WM | ws_collapse UW | Raw WM mean |
-| --- | --- | --- | --- | --- | --- | --- |
-| Cycle 6 spacing B14 | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 | 0.495731 |
-| Cycle 7 durable v3 | 4/4 | **2/4** | 0/4 | **2/4** | 0/4 | 0.571097 |
-| Combined | 4/4 | **0/4** | 0/4 | **3/4** | 0/4 | 0.493690 |
-
-NFKC, Cf-strip, NFKC+Cf-strip, and `ws_collapse_nfkc_cf_strip` matched the corresponding raw or collapse arm on these rows.
-
-Unwatermarked transformed controls: **0 detections** on every arm and sanitizer.
-
-Compared with Stage A catalog v2 on seed 810000 (durable 4/4 raw and 4/4 after collapse), Stage B1 durable v3 is the first local development measurement in which collapse-surviving transformed-watermarked detections dropped below 4/4.
-
-This is n=4. It is not ZERO_RESIDUAL. It is not Cycle 7 formal confirmation.
-
-## Claim boundary
-
-Safe claim: under the frozen SynthID-Text/GPT-2 protocol, catalog v3 durable edits on seed `860000` reduced collapse-surviving watermarked detections from the Stage A durable baseline of 4/4 to 2/4, while Cycle 6 spacing on the same texts returned to 4/4 after whitespace collapse, and transformed unwatermarked controls stayed 0/4.
-
-Do not claim: universal watermark removal; proprietary-detector transfer; formal confirmation; human-fidelity validation; that format newlines would survive a wrap/reflow sanitizer.
-
-## Stage B3 disjoint validation (seed 820000)
-
-Topic `held-out evaluation` was frozen in the ledger before generation. Catalog v3 and cover-greedy v4 were not modified after seeing 820000.
-
-Artifact hashes:
-
-- density `502f7e2ee9e4bd27b1582bdcbdfc2ae123050177abf3b225593bc91cddd298f3`
-- geometry `ee4942e8783710dae2410739932425a44c27e3d26d23c046d143aca08a249221`
-- detector-compare `3da3c015194f6062837db3eb6f0ef7a615909c81733d3bef5f9099c5d0f5e4d3`
-
-Density/geometry (VERIFIED, replicated):
-
-- mean durable candidates: **4.0** (B1 was 4.25)
-- mean format: 1.875; mean non-format: 2.125
-- collapsed intact / root: **0.735** (B1 was 0.716)
-
-Detector (VERIFIED; detector reduction did **not** replicate):
-
-| Arm | Pristine WM | Raw WM | Raw UW | ws_collapse WM | ws_collapse UW |
-| --- | --- | --- | --- | --- | --- |
-| Cycle 6 spacing B14 | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 |
-| Cycle 7 durable v3 | 4/4 | **4/4** | 0/4 | **4/4** | 0/4 |
-| Combined | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 |
-
-Unwatermarked transformed controls: 0 detections on every arm and sanitizer.
-
-The B1 durable 2/4 collapse-surviving reduction is therefore **not** a replicated detector result. It remains SOURCE-BOUND to seed `860000`.
-
-## Overall Stage B conclusion
-
-**`INSUFFICIENT_EVIDENCE`** as a Cycle 6 whitespace-collapse replacement.
-
-Replicated: catalog v3 raises natural durable-site density into a ~4 candidates/sample regime on TinyDev 64-token GPT-2 text; most of that density is sentence-boundary formatting; those edits survive `whitespace-collapse-v1`; intact root windows remain ~72–73% after collapse; Cycle 6 spacing still returns to 4/4 detections after collapse; transformed unwatermarked controls stay clean.
-
-Not replicated: collapse-surviving detector reduction.
-
-Do not retune catalog v3 on 820000. Do not inspect 830000/840000/850000. Do not open Cycle 7 formal confirmation.
-
-## What remains the bottleneck
-
-Local semantically conservative English surface equivalence is still sparse on ordinary ~64-token TinyDev GPT-2 prose. Family 4 supplies most of the new sites. Complementizer, discourse, prenominal, and parenthetical families barely fired. TinyDev 64-token GPT-2 continuations are often list-like and truncated; that domain may inflate sentence-boundary density relative to ordinary paragraph prose.
-
-## Next
-
-1. Do not retune catalog v3 on seeds 860000 or 820000.
-2. Seed 820000 is now spent as disjoint validation. A later revised mechanism needs a new unused validation split; do not recycle 820000.
-3. Do not inspect 830000/840000/850000.
-4. A detector-blind combined scheduler that prefers collapse-surviving families remains a HYPOTHESIS. It was not applied after seeing 820000.
-5. If more rule-construction data is required, add a **new** exploratory seed to the ledger before inspecting it.
diff --git a/docs/cycle7/stage-c-decision.md b/docs/cycle7/stage-c-decision.md
deleted file mode 100644
index a9bdeea1..00000000
--- a/docs/cycle7/stage-c-decision.md
+++ /dev/null
@@ -1,96 +0,0 @@
-# Cycle 7 Stage C decision
-
-**Decision: `INSUFFICIENT_EVIDENCE`**
-
-This is development-only. It is not a Cycle 7 formal confirmation. Seeds `830000` / `840000` / `850000` were not inspected. Seed `880000` remains unused validation and was **not** generated.
-
-Current status after this writeup: closed unmerged PR #98 later publicly generated seed `880000`. That exposure does not change the Stage C1 numbers below. Seed `880000` is no longer eligible as unseen validation.
-
-Catalog: `cycle7-durable-rule-catalog-v4`. Scheduler: unchanged cover-greedy v4. Detector threshold: frozen Cycle 6 value `0.5570987654320988`. Model: `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`.
-
-v4 adds Family 10 (clause punctuation newline) and Family 11 (optional quantifier `of` before a closed determiner/possessive). Families 1–9 are unchanged from catalog v3.
-
-## Stage C1 corpus
-
-Exploratory seed `870000` and topic `measurement protocol` were frozen in `cycle7-seed-ledger-v3` before generation. Pair stride 32, one pair per TinyDev domain, 8 texts (4 watermarked + 4 matched unwatermarked). Seeds `810000`, `860000`, and `820000` were not used as rule-construction data for v4.
-
-Artifact hashes:
-
-- samples `b336e857c49a42a5668b8ab886a3c7b5e7813a050ce81eed068f168cfecf45f8`
-- density `64413b60c5d1a659d1d7ea6eec19d06dba35a756589b97d28cca86e5ca8e01b2`
-- geometry `8ff51b7845553ed94552ba6f327996424d13809145edf8a114c15cc0284c826f`
-- detector-compare `ef9c40420e663ea3ebc26232f0e4c021907c2f5b2c652fa61341dd58c5bfe177`
-
-## Density (VERIFIED on seed 870000)
-
-Mean durable candidates: **4.75** per sample (Stage B was 4.25 on 860000 and 4.0 on 820000). Stage C required a mean of at least 8 to call density promising.
-
-Family means:
-
-| Family | Mean candidates |
-| --- | --- |
-| all format (sentence + clause newline) | 2.875 |
-| clause punctuation newline | 1.50 |
-| non-format residual | 1.875 |
-| coordinating comma | 0.25 |
-| quantifier `of` | **0.00** |
-| complementizer / discourse / prenominal / parenthetical | 0.00 |
-
-Min 1 / max 11 / zero-candidate rows 0/8. Family 10 did fire (mean 1.5). Family 11 did not fire on this TinyDev 64-token GPT-2 corpus.
-
-## Geometry (VERIFIED on seed 870000)
-
-Durable-only, GPT-2 tokenizer, budget 14:
-
-- mean root windows: 53.0
-- mean intact after durable edits: 37.875
-- mean intact after `whitespace-collapse-v1`: 37.875
-- collapsed intact / root: **0.715**
-
-Collapse does not restore durable edits. Cycle 6 spacing on the same texts:
-
-- raw intact / root: 0.170
-- collapsed intact / root: **0.955**
-
-Combined after collapse: intact / root **0.837**, worse than durable-only. This replicates the Stage A/B combined-arm geometry warning on a **new** exploratory seed. Cover-greedy v4 was not changed.
-
-## Detector (VERIFIED on seed 870000, n=4 watermarked)
-
-Frozen threshold `0.5570987654320988`. Detector scores were not used to select edits.
-
-| Arm | Pristine WM | Raw WM | Raw UW | ws_collapse WM | ws_collapse UW |
-| --- | --- | --- | --- | --- | --- |
-| Cycle 6 spacing B14 | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 |
-| Cycle 7 durable v4 | 4/4 | **3/4** | 0/4 | **3/4** | 0/4 |
-| Combined | 4/4 | **0/4** | 0/4 | **4/4** | 0/4 |
-
-NFKC, Cf-strip, NFKC+Cf-strip matched raw. `ws_collapse_nfkc_cf_strip` matched `ws_collapse`.
-
-Unwatermarked transformed controls: **0 detections** on every arm and sanitizer.
-
-The durable 3/4 collapse-surviving result is SOURCE-BOUND to seed `870000`. Stage B already showed that a 2/4 development snapshot on 860000 did not replicate on 820000. This C1 snapshot is not treated as a catalog freeze.
-
-## Claim boundary
-
-Safe claim: under the frozen SynthID-Text/GPT-2 protocol, catalog v4 on seed `870000` did not raise natural durable-site density out of the Stage B four-site regime (4.75 vs 4.0–4.25), Family 11 did not fire, collapse-surviving intact root windows remained ~71.5%, and Cycle 6 spacing still returned to 4/4 detections after whitespace collapse.
-
-Do not claim: universal watermark removal; proprietary-detector transfer; formal confirmation; human-fidelity validation; that clause newlines would survive a wrap/reflow sanitizer; that catalog v4 is a Cycle 6 spacing replacement.
-
-## Overall Stage C1 conclusion
-
-**`INSUFFICIENT_EVIDENCE`** as a Cycle 6 whitespace-collapse replacement.
-
-Replicated on a third exploratory seed: punctuation-newline layout is the only durable family that supplies multiple natural sites on TinyDev 64-token GPT-2 text; those edits survive `whitespace-collapse-v1`; most root windows remain intact; Cycle 6 spacing still returns to 4/4 after collapse; transformed unwatermarked controls stay clean; combined-after-collapse geometry is worse than durable-only.
-
-New negative: optional `all/both/half of DET` did not occur on this corpus (mean 0.0). Expanding sentence newlines to clause commas added about 1.5 candidates/sample and did not move collapse-surviving geometry.
-
-HYPOTHESIS strengthened toward: local semantically conservative English surface equivalence, plus layout newlines that survive `whitespace-collapse-v1`, does not provide enough natural sites on this domain to replace the Cycle 6 spacing channel.
-
-Do not freeze catalog v4 against seed `880000`. Do not inspect `880000`. Do not inspect `830000` / `840000` / `850000`. Do not retune v4 on `870000`. Do not open Cycle 7 formal confirmation.
-
-## Next
-
-1. Keep `880000` unseen. If a later mechanism version is justified, freeze that version first, then use `880000` as disjoint validation.
-2. Do not accumulate more tiny lexical whitelists against 870000.
-3. A later mechanism, if pursued, should target a different context-disruption primitive (longer-range deterministic edits, or a collapse-resistant channel denser than clause punctuation) rather than additional closed-list surface equivalences.
-4. A detector-blind combined scheduler that prefers collapse-surviving families remains a HYPOTHESIS. It was not applied after seeing 870000.
diff --git a/docs/cycle7/whitespace-collapse-v1.md b/docs/cycle7/whitespace-collapse-v1.md
deleted file mode 100644
index 1aa24285..00000000
--- a/docs/cycle7/whitespace-collapse-v1.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# whitespace-collapse-v1
-
-Sanitizer identity: `ascii-horizontal-run-collapse-preserve-newlines-v1`.
-
-This is a **new** Cycle 7 sanitizer. It does not modify frozen `fuckmark/sanitizer_robustness.py`.
-
-## Exact behavior
-
-1. Map CR LF and CR to LF.
-2. Preserve LF. Do not join lines.
-3. On each line, replace every maximal run of U+0020 SPACE and U+0009 HT with one U+0020 SPACE.
-4. Do not trim a leftover single leading or trailing space.
-5. Do not collapse other Unicode whitespace, including NBSP (U+00A0).
-6. Do not strip Cf characters (that is a separate arm).
-
-## Cycle 7 variant IDs
-
-| ID | Definition |
-| --- | --- |
-| `raw` | identity |
-| `nfkc` | Unicode NFKC (imported from the frozen Cycle 6 helper) |
-| `cf_strip` | drop Unicode category Cf |
-| `nfkc_cf_strip` | Cf-strip after NFKC |
-| `ws_collapse` | whitespace-collapse-v1 |
-| `ws_collapse_nfkc_cf_strip` | collapse, then NFKC, then Cf-strip, then collapse again so NFKC-introduced ASCII spaces also collapse |
-
-Whitespace robustness may be claimed only if the `ws_collapse` and `ws_collapse_nfkc_cf_strip` arms pass.
diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md
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-# Cycle 8 — exact visible projection
-
-Product documentation is the repository README. This directory is research provenance: protocols, hashes, seed ledgers, and historical cycles.
-
-Cycle 7 is frozen as **visible-edit durability research**. It is **PRODUCT_DISQUALIFIED** even where detector snapshots looked interesting.
-
-Cycle 8 is a new scientific generation. The mechanism class is hidden Unicode representation that leaves `VISIBLE(original)` identical to `VISIBLE(transformed)`.
-
-## Priority order
-
-0. Exact user-visible text preservation
-1. Real detector evasion
-2. Sanitizer durability
-3. Independent replication
-4. Protected machine-content safety
-5. Low hidden payload
-6. Mechanistic explanation
-7. Proxy metrics
-
-## Seed ledger
-
-See `docs/cycle8/seed-ledger.md` and `docs/seeds.md`. Seeds `890000`, `900000`, and `910000` are spent tiny Cycle 8 evidence. Scale seeds `930000` / `940000` / `950000` were reserved before scale generation. Density seed `960000` was reserved before density generation and scored n=16: both space x1 and space-wordfinal are 1/16. Letter seed `970000` was reserved before letter generation; independent letter-x1 is 0/16 then 0/64. Diagnostic letter rescored of seen `930000` n=64 and `940000` n=64 are 0/64. Experimental letter-x1 0/192 is 128 seen plus 64 independent. System-benchmark seeds `980000` and `990000` were reserved before generation; fresh letter-x1 is 0/128 and fresh space-x1 is 1/128. See `docs/cycle8/letter-system-benchmark.md`. Mix seeds `1020000` and `1030000` were reserved before generation; fresh letter-alt is 0/128 with worst score 0.513691. Mix scale seeds `1040000` and `1050000` were reserved before generation; combined mix is 0/256 with worst score 0.519522. Mix is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192** and those seeds are spent. DeepMind 30-key mix transfer seeds `1060000` / `1070000` / `1080000` are confirmation-scale mix **0/192** (`HYPOTHESIS`, not mix-freeze confirmation). DistilGPT2 seed `1090000` n=16 is `HYPOTHESIS` second-model transfer. Control-mix exploratory seed `1100000` n=16 is `HYPOTHESIS` (identity WM 15/16, control-mix WM 0/16) and does not rewrite mix sanitizer FAIL. Publishability gates: reproducibility PASS, visibility PASS, software compatibility PASS on the UTF-8 / visible-search product surface, sanitizer FAIL, cross-detector PASS. Mix is not product-publishable. See `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, `docs/cycle8/mix-second-model-transfer.md`, and `docs/cycle8/gate-v2.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. Gate v2 confirmation seeds `1200000` / `1210000` / `1220000` were generated once: mix required-sanitizer WM **0/192**, mix UW **0/192**, visible **192/192**, identity **188/192**, carrier-free Unicode **182/192**. Those seeds are spent. Gate v2 is `confirmed_and_product_authorized`. Public CLI applies frozen letter-mix. The v1 mix sanitizer gate stays FAIL.
-
-## Carrier research
-
-See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
-
-Assigned width-0 insertions remain closed (H9). H12 control-code insertion (`Cc` DEL + C1 except NEXT LINE) is a new sanitizer-surviving research class. Chromium pixels are host-dependent. Independent seed `1100000` n=16 is control-mix **0/16** WM (`HYPOTHESIS`). H13 classifies the post-sanitizer mechanism families: no measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe. H14 extends that negative result to `Mc`, `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. H15 extends it to sequence-level prepend, joining, Hangul composition, bidi wraps, escape sequences, partial-sanitizer remainders, and font GSUB ligatures. It is not mix, not product-authorized, and does not rewrite the mix sanitizer FAIL. H16 audits the gate: the original shaping scan executed latin `A`/`B` only, not the advertised 12 contexts; the 12-context rescan is recorded (union 396, intersection 0) and does not rewrite the A/B artifact. Gate v2 confirmation on seeds `1200000` / `1210000` / `1220000` is `VERIFIED`. Live Gate v2 status is `confirmed_and_product_authorized`. See `docs/cycle8/carrier-research.md` and `docs/cycle8/gate-v2.md`.
-
-U+200C is the diagnostic baseline. It is not durable under Cf-strip.
-
-Early durable-track *hypothesis* (sanitizer and tokenizer screen, not a detector claim): U+034F COMBINING GRAPHEME JOINER and variation selectors U+FE00..U+FE0F. The frozen mix of those two carriers is now product-authorized. U+034F letter-x1 alone is not.
diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md
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-# Cycle 8 carrier research
-
-Live product (v0.4.0): the public CLI applies frozen letter-mix (`release-cli-v5`). This file is the Cycle 8 research record. Historical sections keep the labels they had when that work landed. See [`gate-v2.md`](gate-v2.md) for authorization.
-
-Labels: `VERIFIED`, `HYPOTHESIS`, `REJECTED`, `PRODUCT_DISQUALIFIED`, `HISTORICAL_ONLY`, `UNKNOWN`.
-
-## H1. Normalization-stable non-Cf carrier
-
-`HYPOTHESIS` for product use. Sanitizer screen `VERIFIED` for U+034F and U+FE00..U+FE0F on the frozen arms:
-
-- category Mn, default-ignorable, combining class 0;
-- NFC/NFKC-stable in isolation;
-- survives Cf-strip (not Cf);
-- survives `whitespace-collapse-v1` when placed after an ASCII space.
-
-GPT-2 tokenizer screen `VERIFIED` on the Cycle 8 fixture (tiktoken `gpt2`): inserting U+034F after ASCII word spaces changed token IDs (`ids_equal=false`, token-count delta +40) with suffix realignment of only one token. An 8-copy space run produced delta +208. U+200C also disrupts GPT-2 (delta +28) but remains Cf-fragile.
-
-Not product-authorized as a space-carrier CLI. Fixture compare on four ASCII texts is `VERIFIED` for visible projection (`20/20`) and for U+034F / U+FE00 survival under Cf-strip, NFKC, and `whitespace-collapse-v1`. Chromium `pre` screenshots: U+034F and U+FE00 are `VERIFIED` pixel-equal to the original; U+200C is `REJECTED` (PNG bytes differ). Detector-blind GPT-2 / SynthID looks on seeds `890000`, `900000`, and `910000` are `PROMISING_DEVELOPMENT` / `HYPOTHESIS` only (four watermarked pairs per seed). Prefer U+034F x1: x8 overflowed GPT-2's 1024-token context on seed `900000`. This H1 arm is not the live CLI.
-
-## H2. Carrier runs at space boundaries
-
-`HYPOTHESIS` for the space-x1 product-research arm. Repeating an approved carrier after existing ASCII spaces increases hidden payload without splitting `[A-Za-z]+` words, so historical hard-invariant word matching still passes. Word-final ASCII letter x1 (`[A-Za-z](?![A-Za-z])`) plus space x1 was a detector-blind density follow-up on reserved seed `960000`. On that 16-pair corpus both space x1 and space-wordfinal were **1/16** raw transformed WM on the same residual row. Density did not beat space x1. Space-x1 scale remains **1/64** on seed `930000` and **0/64** on seed `940000` (combined **1/128**). These space-x1 results are frozen. Do not rewrite them as zero.
-
-## H10. Intra-word visible-preserving letter carrier
-
-`HYPOTHESIS` / `PROMISING_DEVELOPMENT`. The frozen hard-invariant word regex is a raw-byte check. User-visible words are the Priority Zero object, so the letter arm computes negation/modality signatures on `project_visible_v1` and opt-in quote-interior policy `quote-visible-carrier-v1` allows approved letter carriers inside surface-editable quotations without changing quote delimiters. Machine spans (URLs, paths, code, numbers) stay blocked on raw protected-span identity. A detector-blind selected-site cap of 192 keeps GPT-2 context under 1024 tokens.
-
-Letter-x1 is **not** in `release_transform_registry()`. Space-x1 still uses blanket quotes and raw word signatures.
-
-Diagnostic rescore of seen corpora (not unseen): `960000` n=16 **0/16**, `930000` n=64 **0/64**, `940000` n=64 **0/64**. Independent reserved seed `970000` is **0/16** then **0/64**. Experimental letter-x1 **0/192** = seen `930000` n=64 plus seen `940000` n=64 plus independent `970000` n=64 (**128/192 seen**, **64/192 independent**). Matched unwatermarked controls stayed clean. Visible projection passed on every scored letter row.
-
-A later system benchmark reserved seeds `980000` and `990000` before generation. Fresh letter-x1 is **0/128** raw transformed WM on those two independent 64-pair corpora, with space-x1 **1/128** on the same texts. Maximum fresh letter score is 0.554066 versus threshold 0.557099. That 0/128 is measurement, not confirmation, and must not be collapsed into the experimental 0/192. Formal confirmation readiness is `NOT_READY`. See `docs/cycle8/letter-system-benchmark.md`.
-
-Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Letter-x1 is not the live CLI. Do not generate `950000`.
-
-Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x1 was the previous strongest visible-invariant U+034F arm. The later mix arm below is stronger on fresh independent corpora.
-
-## H11. Alternating U+034F / U+FE00 letter mix
-
-`VERIFIED` for one-shot mix confirmation 0/192 on the frozen GPT-2 / SynthID protocol. This H11 record is the freeze/confirmation history; Gate v2 later authorized the frozen mix. Uniform CGJ repeats are masked by SynthID `valid_mask` on repeated 5-gram contexts. The mix arm places U+034F on even selected-site indexes and U+FE00 on odd indexes after ASCII letters, using raw unmerged hard machine spans instead of merged MATH+NUMBER protection. Quote interiors are allowed. URLs, numbers, code, and paths stay blocked.
-
-Seeds `1020000` and `1030000` were reserved before generation. Fresh mix is **0/128** raw transformed WM, mix UW **0/128**, visible 256/256 on the detector rows, frozen sanitizers matching raw zeros. Worst fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). Letter-x1 on the same corpora is also 0/128 with worst max 0.527389. Letter-space on `1000000`+`1010000` remains **1/128**. Chromium `pre`/textarea/contenteditable were pixel-equal on the measured mix fixtures.
-
-Independent scale seeds `1040000` and `1050000` were reserved before generation. Combined with `1020000`+`1030000`, mix is **0/256** raw transformed WM, mix UW **0/256**, worst mix max 0.519522 (gap 0.037577). The two-corpus 0/128 scorecard is not rewritten. This 0/256 is development scale. The mechanism is frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on seeds `830000` / `840000` / `850000` is **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those confirmation seeds are spent. This H11 record is not itself product authorization. Gate v2 later authorized the frozen mix. Publishability: software compatibility PASS on the UTF-8 / visible-search product surface; sanitizer FAIL; cross-detector PASS on Hugging Face nine-key GPT-2 Weighted Mean plus independent DeepMind 30-key GPT-2 mix **0/192**. DistilGPT2 n=16 is `HYPOTHESIS` second-model transfer, not confirmation-scale. See `docs/cycle8/mix-freeze.md`, `docs/cycle8/mix-publishability.md`, and `docs/cycle8/gate-v2.md`.
-
-## H3-H8
-
-Placement geometry, Cycle 6 scheduler reuse, and root-window correlation remain `HYPOTHESIS` for larger corpora. Tiny-corpus detector looks on seeds `890000`, `900000`, and `910000` are `PROMISING_DEVELOPMENT` only.
-
-## H9. Feasibility boundary
-
-`VERIFIED` as a negative result for product-safe stronger carriers. Assigned Unicode scalar values were scanned in `cycle8-invisible-carrier-feasibility-v1`. No code point is simultaneously invisible, not Mn, not Cf, not default-ignorable, and pixel-equal on Chromium `pre`.
-
-Mix carriers U+034F and U+FE00 are Mn and default-ignorable, so Mn-strip and default-ignorable-strip restore the source. Cf dies to frozen Cf-strip. The 13 enclosing marks (Me, probe U+20DD) survive those stress sanitizers and have display width 0, but they change rendered pixels and are `REJECTED`. Other non-Mn/Cf assigned characters: 0.
-
-Cycle 8 freezes that width-0 assigned boundary rather than weaken Priority Zero. Mix sanitizer robustness stays FAIL. The H9 scan skipped general category `Cc` as control risk and did not treat it as a width-0 assigned insertion.
-
-## H12. Sanitizer-surviving control-code insertion
-
-`HYPOTHESIS` / `PROMISING_DEVELOPMENT`. A new class, not a rewrite of mix and not a reopening of the width-0 closed set. Assigned width-0 insertions remain Mn, Me, or Cf. Mix still dies to Mn-strip and default-ignorable-strip.
-
-The next insertion class is Unicode general category `Cc`. Layout controls (TAB, LF, VT, FF, CR, NEXT LINE, line/paragraph separators) stay excluded. NUL is Chromium-pixel-equal on `pre`/textarea/contenteditable but is hostile to ordinary C-string text and is excluded. Most other C0 controls survive the required sanitizers and are Chromium-`REJECTED` (tofu). Braille blank, Ogham space, replacement character, noncharacters, and BMP private-use probes also survive some sanitizers and change Chromium `pre` pixels.
-
-DEL (U+007F) and C1 (U+0080..U+009F except U+0085) are 32 code points that:
-
-- are `Cc`, not default-ignorable, not Mn, not Cf;
-- survive Mn-strip, default-ignorable-strip, Cf-strip, NFC, NFKC, NFKD, frozen Cycle 6/7 sanitizers, and the combination of those arms;
-- keep exact `project_visible_v1` when used as approved insertion carriers;
-- are Chromium-pixel **host-dependent**: one research host matched `pre`/textarea/contenteditable PNG bytes on single-insert probes and a full apply; GitHub Actions Chromium `REJECTED` the same full apply (`png_bytes_differ`);
-- keep Chromium `window.find` HIT for `do not` on the short paragraph on the research host;
-- disrupt GPT-2 BPE (`ids_equal=false`, token-count delta positive);
-- round-trip through UTF-8, JSON, and latin-1;
-- fail the v1 product display-width proxy, which still counts `Cc` as width 1. Research width skips the eligible set. That is a proxy gap, not a visible-text change.
-
-The apply path `cc-del-c1-letter-alt-v1` uses the same letter sites as mix, cycling the 32 eligible controls instead of U+034F / U+FE00. Hard machine spans stay blocked. Quote interiors stay eligible. Cap 192. H12 is not authorized. Live approved carriers stay the mix pair, not this control set. Mix confirmation 0/192 is not transferred. Mix publishability sanitizer stays FAIL. Do not generate `950000`.
-
-Seen-corpus DeepMind 30-key diagnostic rescore of seed `920000` n=16: identity WM **16/16**, control-mix WM **0/16**, mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505337`. That look is `HYPOTHESIS`, seen, not independent generation, and not confirmation.
-
-Independent reserved seed `1100000` n=16: identity WM **15/16**, control-mix WM **0/16**, all UW **0/16**, visible pass, required sanitizers keep every control-mix row, control-mix max `0.505851`. The identity miss is one structured-instructional watermarked row at `0.556873` versus threshold `0.557099`. Do not rewrite 15/16 as 16/16. This n=16 is `HYPOTHESIS`, not confirmation, and does not transfer mix-freeze 0/192.
-
-ISO-6429 C1 device controls including CSI (U+009B) remain in the measured 32-codepoint eligible set. Product `display_column_width` still counts `Cc` as width 1. Terminal pixels stay UNKNOWN. Chromium `pre` pixels are host-dependent. Those ordinary-text, terminal, and cross-Chromium visibility risks block product authorization. They do not rewrite mix sanitizer FAIL.
-
-Spec: `cycle8-control-carrier-scan-v1`.
-
-## H13. Post-sanitizer mechanism class
-
-`VERIFIED` as a negative classification, not a Unicode re-scan. Assigned width-0 insertions stay closed (H9). This classifies the broader transform families that remain after Mn-strip, default-ignorable-strip, Cf-strip, NFC/NFKC, and their combination.
-
-No measured class is simultaneously:
-
-- sanitizer-surviving on that required set,
-- Chromium-portable (`pre` pixels `VERIFIED` on every measured host),
-- ordinary plain text,
-- Priority-Zero safe.
-
-Mix (Mn + default-ignorable) dies to Mn-strip and default-ignorable-strip. Enclosing marks survive those sanitizers and change Chromium pixels. Control-code insertion survives those sanitizers and is Chromium host-dependent, with ISO-6429 device controls remaining in the measured set. Homoglyphs, whitespace edits, HTML/CSS, and custom fonts stay forbidden.
-
-This does **not** rewrite mix sanitizer FAIL. H12 did not product-authorize any carrier. Live mix authorization is Gate v2.
-
-Spec: `cycle8-post-sanitizer-mechanism-class-v1`.
-
-## H14. Extended post-sanitizer classes
-
-`VERIFIED` as a negative extension, not a product unlock. H13 classified insertion families after the required sanitizers. H14 does not re-scan assigned width-0 code points. It measures classes H9 skipped as "visible" and classes H13 only probed with a handful of empty glyphs.
-
-No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe.
-
-Live Unicode 15.0 scan:
-
-- 419 `Mc` spacing combining marks survive the required sanitizers. Product display-width delta is not 0. Chromium `pre` rejects Hangul tone marks and Indic vowel-sign probes.
-- 128 NFKC-stable `Lm` modifier letters survive. Chromium `pre` rejects prime, apostrophe, glottal-stop, and raised-exclamation probes. U+02B0 and U+FF9E/U+FF9F die to NFKC.
-- Designed blanks and gap fillers (U+13441, U+13442, U+A8F9, U+1144E, U+11C44, U+11F48, U+2800, U+2422, U+1680, U+FFFC) survive and change Chromium `pre` pixels.
-- Hangul jamo fillers U+115F+U+1160 are default-ignorable. The sequence dies to default-ignorable-strip and changes Chromium pixels.
-- Project default-ignorable ranges match Unicode 15.0. That is not a cheat channel.
-- DejaVu Sans Mono, the Chromium `pre` font, has no sanitizer-surviving simple empty zero-advance glyph. Simple empty means TrueType `numberOfContours == 0`. Composite glyphs (`numberOfContours == -1`) are not empty. U+FFFC is a full cell there. System-font zero-advance empties that survive sanitizers are `Cc` or layout separators, plus U+FFFC in DejaVu Sans.
-- A CSI-filtered C1 subset is still `Cc`. It is not a new class. Chromium remains host-dependent. Ordinary-text FAIL remains.
-
-The only sanitizer-surviving pixel-equal probes on the research host were control codes. H12 already closed that class for product use.
-
-This does **not** rewrite mix sanitizer FAIL. H13/H14/H15 did not authorize a carrier. Live mix authorization is Gate v2. Do not generate `950000`. Do not retune spent confirmation seeds.
-
-Spec: `cycle8-post-sanitizer-extended-class-v1`. Evidence: `evidence/h14-local/`.
-
-## H15. Sequence and representation class
-
-`VERIFIED` as a negative sequence-level extension, not a product unlock. H14 closed the next single-codepoint graphic classes. H15 does not repeat that sweep. It measures multi-codepoint sequences and representation interactions.
-
-No measured class is simultaneously sanitizer-surviving, Chromium-portable, ordinary plain text, and Priority-Zero safe.
-
-Live sequence measurements:
-
-- Thirteen UAX #29 prepend letters survive the required sanitizers. Chromium `pre` rejects them in front of Latin `I`.
-- Joining connectors (tatweel, Nko lajanyalan, Mongolian nirugu, character tie) survive and change Chromium `pre` pixels. ZWJ/ZWNJ die to Cf-strip.
-- Hangul L plus V jamo is NFC-unstable. The composed syllable is NFKD-unstable. Either form dies to the required bundle.
-- ASCII plus sanitizer-surviving `Mc` does not NFC-compose.
-- LRI/FSI wraps around LTR English are pixel-equal on this Chromium host and die to Cf-strip. RLI/RLO wraps change pixels.
-- ISO-6429 ESC CSI sequences survive because they are `Cc` plus ASCII, but Chromium `pre` shows the ASCII parameters.
-- Mix plus DEL is pixel-equal here; Mn-strip leaves DEL. That is the H12 remainder, not a new class.
-- DejaVu Sans Mono has no sanitizer-surviving zero-advance mapped glyph, including composites. Discretionary `fi`/`fl` ligatures map to NFKC-fragile compatibility characters and are not applied in Chromium `pre`.
-
-This does **not** rewrite mix sanitizer FAIL. H13/H14/H15 did not authorize a carrier. Live mix authorization is Gate v2. Do not generate `950000`. Do not retune spent confirmation seeds.
-
-Spec: `cycle8-post-sanitizer-sequences-v1`. Evidence: `evidence/h15-local/`.
-
-## H16. Threat-model audit
-
-`VERIFIED` as an audit of the gate itself, not another carrier search. H9-H15 all returned negatives; H16 asks whether the gate that produced them is correct. It is not.
-
-**The search space was empty by construction on the executed A/B oracle.** A HarfBuzz advance-and-ink oracle over 286719 assigned code points finds 396 invisible code points in the Chromium `pre` font between latin `A` and `B`. Every one is `Mn` or `Cf`, in 15 contiguous ranges. The required bundle strips exactly `Mn`, `Cf`, and default-ignorable, so invisibility and required-bundle survival are complementary sets on that oracle. The intersection is 0. The original H16 write-up advertised 12 shaping contexts; the committed scan executed only latin `A`/`B` (Codex P1). That overclaim is recorded. The scan tool now iterates all 12 advertised contexts. The corrected 12-context rescan is recorded in `evidence/h16-local/shaping-closure-12context.json` and does not rewrite the frozen A/B artifact: union still 396, all Mn or Cf, intersection still 0; product-context union 396; arabic 390; digit/punct/start 395. Script contexts on DejaVu Sans Mono may be missing-glyph behavior. The oracle agrees with real Chromium pixels on 20 of 23 stratified samples; all three disagreements are understood and none weakens the A/B closure.
-
-The other transformation classes close too. Substitution: 14 code points render as an ASCII space, all 14 NFKC-collapse to `U+0020`, none survives. Canonical re-encoding: the declared ASCII input domain is a fixed point of all four normalization forms. Deletion and reordering change visible text. The single remainder in all of Unicode is `Cc`, which ordinary-plain-text excludes — the H12 result, now shown to be unique rather than one option among many.
-
-**Production detectors do not apply these sanitizers.** SynthID-Text scores model tokens, so the tokenizer is the real normalizer. The Gemma tokenizers it is deployed on declare only the SentencePiece whitespace `Replace` and strip no `Mn`, `Cf`, or `Cc`; all nine probe carriers reach the token stream and a 5-token sentence becomes 22-23 tokens. The only tokenizers that drop anything are the two SentencePiece `Precompiled` ones, and what they drop is DEL — inverting the gate, which permits `Cc` and forbids `Mn`/`Cf`.
-
-**The stress sanitizers are not deployable.** Mn-strip corrupts 5 of 7 ordinary multilingual samples and default-ignorable-strip corrupts 4 of 7. Thai loses every vowel and tone mark, Hebrew loses all niqqud, Hindi `नहीं` becomes `नही`, Persian loses its ZWNJ, and `👨‍👩‍👧` becomes three separate people. No platform can run these as preprocessing.
-
-**The gate is wrong on scope and on form.** On scope, the frozen product contract classifies `default_ignorable_removal` and `nonspacing_mark_removal` as `stress_only_not_frozen`, yet `required_sanitizers_keep` treats both as hard requirements. That is the entire blockage: mix survives 21/21 frozen sanitizer fixtures and every other publishability gate passes, so `sanitizer_weaknesses` fails only on those two. On form, the gate asks for carrier fixed-point survival `S(T(x)) == T(x)`, which is strictly stronger than the product goal that detection fail after sanitization.
-
-**One sanitizer is real, and it is not either stress sanitizer.** The `UnicodeSanitizer` in `jwkirchenbauer/lm-watermarking` ships on by default and runs before tokenization. It is NFC plus a fixed BMP regex plus `Cc`-strip, and its matches are replaced with a space rather than deleted. Measured here it keeps 366 of the 396 invisible code points including `U+034F`, removes `U+FE00`, injects spurious spaces, corrupts 5 of 7 ordinary samples, and does not restore the unwatermarked source. Because it is real, `proposed_gate_v2` requires it.
-
-**Mix still evades the real sanitizer.** Measured on the exploratory lane, seed 890000 with GPT-2 and 48 watermarked rows: pristine detects 47/48, and mix detects 0/48 under raw, NFKC, Cf-strip, and the lm-watermarking `UnicodeSanitizer` alike. That sanitizer collapses space runs and strips `Cc`, so it could have suppressed detection by itself; the carrier-free control rules that out, detecting 46/48. It costs one row of detection power on its own, so the drop to zero belongs to the carrier. The only variant that restores detection is the required bundle, at 47/48 — and it restores the original string on 96/96 rows. That is the mechanism behind the whole H12-H15 blockage: the bundle does not defeat the carrier, it deletes it and hands the detector back the untouched watermarked text. No spent or forbidden seed is used.
-
-**Where the corrected gate stands.** Reading the existing mix-freeze confirmation evidence against the frozen sanitizers: identity detects 185/192, mix detects 0/192 watermarked and 0/192 unwatermarked, visible text passes 192/192, and every frozen sanitizer still detects 0. The real-sanitizer condition is now confirmation-grade on seeds `1200000` / `1210000` / `1220000`: mix **0/192** after the UnicodeSanitizer, carrier-free **182/192**, drop 6 from identity **188/192**, visible **192/192**. The H16 audit recorded Gate v2 as `confirmed_not_product_authorized`. Live Gate v2 is now `confirmed_and_product_authorized` after a separate engineering step. The audit file itself is not rewritten.
-
-`proposed_gate_v2` in the H16 audit spec remains `proposal_only_not_active` as a historical draft. Formal Gate v2 is `cycle8-publishability-gate-v2`. It adds frozen Cycle 7 sanitizer `ws_collapse_nfkc_cf_strip` versus the H16 draft. This does **not** rewrite mix sanitizer FAIL and does not relax `required_sanitizers_keep`. Do not generate `950000`. Do not retune spent confirmation seeds `830000` / `840000` / `850000` or `1200000` / `1210000` / `1220000`.
-
-Spec: `cycle8-threat-model-audit-v1` and `cycle8-publishability-gate-v2`. Evidence: `evidence/h16-local/`. Protocol: `docs/cycle8/gate-v2.md`.
-
-## Rejected as product mechanisms
-
-| Mechanism | Label | Why |
-| --- | --- | --- |
-| Contractions / Cycle 7 durable edits | `PRODUCT_DISQUALIFIED` | visible words or punctuation change |
-| Cycle 6 U+0020 runs | `PRODUCT_DISQUALIFIED` | visible spacing change |
-| U+200C / other Cf | `REJECTED` as durable; diagnostic only | Cf-strip restores the original string |
-| Enclosing marks (Me, probe U+20DD) | `REJECTED` | survive Mn/DI/Cf-strip but change Chromium `pre` pixels |
-| NBSP / hair spaces / dashes / homoglyphs | `REJECTED` | visible or NFKC-mapped layout/glyph change |
-| C0 tofu (U+0001..U+0008, U+000E..U+001F) | `REJECTED` | survive the required sanitizers; Chromium `pre` pixels change |
-| NUL (U+0000) | `REJECTED` as product-ordinary text | Chromium pixels match; C-string / ordinary-text hazard |
-| FF / VT / NEXT LINE / CR / TAB / LF | `REJECTED` | newline or layout change even when some Chromium surfaces ignore them |
-| Braille blank / Ogham space / PUA / noncharacters | `REJECTED` | sanitizer-survive in some cases; Chromium `pre` pixels change |
-| Spacing combining marks (`Mc`) | `REJECTED` | survive required sanitizers; Chromium `pre` pixels change |
-| NFKC-stable modifier letters (`Lm`) | `REJECTED` | survive required sanitizers; Chromium `pre` pixels change |
-| Egyptian blanks / Indic gap fillers / U+FFFC | `REJECTED` | sanitizer-survive with width; Chromium `pre` pixels change |
-| Hangul filler sequences | `REJECTED` | default-ignorable; DI-strip restores the source |
-| CSI-filtered C1 subset | `PRODUCT_DISQUALIFIED` | still `Cc`; Chromium host-dependent; not ordinary text |
-| Grapheme prepend plus Latin base | `REJECTED` | sanitizer-survive; Chromium `pre` pixels change |
-| Joining connectors (tatweel / nirugu) | `REJECTED` | sanitizer-survive; Chromium `pre` pixels change |
-| Hangul L plus V composition | `REJECTED` | NFC or NFKD rewrites the representation |
-| Bidi isolate wrap | `REJECTED` as durable | pixel-equal on LTR here; Cf-strip restores the source |
-| ISO-6429 escape sequences | `PRODUCT_DISQUALIFIED` | sanitizer-survive as `Cc` plus ASCII; parameters stay visible |
-| Mix plus DEL remainder | `PRODUCT_DISQUALIFIED` | leftover is still H12 `Cc` |
-
-## Baseline
-
-U+200C after ASCII word spaces: visibility-aligned on the v1 projection, Cf-fragile, and Chromium-pixel-`REJECTED`. Keep as the diagnostic control. Do not promote to release.
diff --git a/docs/cycle8/gate-v2.md b/docs/cycle8/gate-v2.md
deleted file mode 100644
index 5dec9ad8..00000000
--- a/docs/cycle8/gate-v2.md
+++ /dev/null
@@ -1,89 +0,0 @@
-# Cycle 8 publishability Gate v2
-
-Status: `confirmed_and_product_authorized`. Evidence label: `VERIFIED`. Confirmation passed. Public CLI applies frozen `u034f-ufe00-letter-alt-v1` as `release-cli-v5`.
-
-Gate v2 is a versioned publishability definition. Confirmation did not by itself enable the CLI. Product authorization is a separate engineering step recorded here and in `cycle8-product-authorization-v1`.
-
-## Decision
-
-The product objective is:
-
-- `VISIBLE(x) == VISIBLE(T(x))` on every eligible row (Priority Zero)
-- `detector(S(T(x)))` remains negative for each required sanitizer `S`
-
-The H12-H15 search gate asked for carrier fixed-point survival:
-
-- `S(T(x)) == T(x)` for every sanitizer in `required_sanitizers_keep`, including Mn-strip and default-ignorable-strip
-
-Fixed-point survival is sufficient for detector-after-sanitizer evasion, but it is not required. The required bundle deletes mix carriers and reconstructs the source, so a fixed-point gate against those two sanitizers is a stress test of carrier survival, not a product publishability requirement.
-
-This is independently checked against the frozen product contract:
-
-- `default_ignorable_removal` and `nonspacing_mark_removal` are `stress_only_not_frozen`
-- mix already survives 21/21 frozen sanitizer fixtures
-- the v1 mix sanitizer gate remains `FAIL` because `required_sanitizers_keep` is not weakened
-
-## Classifications
-
-| sanitizer | classification |
-| --- | --- |
-| `raw` | `real_deployed_preprocessing` |
-| `nfc`, `nfkc`, `cf_strip`, `nfkc_cf_strip`, `ws_collapse`, `ws_collapse_nfkc_cf_strip` | `frozen_product_requirement` |
-| `lm_watermarking_unicode_sanitizer` | `real_deployed_preprocessing` (jwkirchenbauer/lm-watermarking `UnicodeSanitizer`, `WatermarkDetector(normalizers=["unicode"])` default) |
-| `nonspacing_mark_removal`, `default_ignorable_removal` | `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE` |
-| `required_bundle` | `KNOWN_DESTRUCTIVE_COUNTERMEASURE` (diagnostic; reconstructs the source) |
-| `homoglyphs`, `truecase` | `UNSUPPORTED` (opt-in lm-watermarking normalizers, not the unicode default) |
-
-Gate v2 adds `ws_collapse_nfkc_cf_strip` versus the H16 draft. That arm is a frozen Cycle 7 product-contract sanitizer.
-
-Mn-strip and default-ignorable-strip remain recorded. They still restore mix. They are not treated as harmless.
-
-## Confirmation result
-
-Reserved before generation, generated once, now spent:
-
-| seed | topic | role | n | identity WM | mix required WM | mix UW | Unicode mix WM | carrier-free Unicode | mix max |
-| --- | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
-| 1200000 | `gate v2 confirmation primary` | confirmation | 64 | 64/64 | 0/64 | 0/64 | 0/64 | 61/64 | 0.519124 |
-| 1210000 | `gate v2 confirmation replication` | confirmation | 64 | 61/64 | 0/64 | 0/64 | 0/64 | 60/64 | 0.526739 |
-| 1220000 | `gate v2 confirmation holdout` | confirmation | 64 | 63/64 | 0/64 | 0/64 | 0/64 | 61/64 | 0.516419 |
-| **combined** | one-shot 3 x 64 | confirmation | 192 | **188/192** | **0/192** | **0/192** | **0/192** | **182/192** | **0.526739** |
-
-Pass thresholds, frozen before scoring, all met:
-
-- identity / pristine watermarked detected `188/192` (`>= 168/192`)
-- mix watermarked detected `0/192` after every required sanitizer
-- mix unwatermarked detected `0/192` on raw
-- exact visible invariance `192/192` on mix watermarked rows
-- `lm_watermarking_unicode_sanitizer` mix watermarked detected `0/192`
-- carrier-free identity plus that real sanitizer `182/192` (`>= 96/192`) and drop from identity `6` (`<= 16`)
-- `required_bundle` scored as a diagnostic (188/192; reconstructs the source), not a pass condition
-- existing DeepMind 30-key mix `0/192` on `1060000` / `1070000` / `1080000` remains the current cross-detector evidence and was not rescored here
-
-Run once. Do not rerun looking for zero. Do not retune on these rows. Do not use `830000` / `840000` / `850000`. Do not generate `950000`. Do not reuse exploratory seed `890000` as confirmation.
-
-Closest mix residual geometry only: `cycle8-1210000-52-general_explanatory-watermarked`, 47 insertions, score 0.526739. Residual text was not inspected.
-
-Generic `classify_scale_detector_compare` still labels each corpus `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. That is the shared scale classifier, not the Gate v2 claim.
-
-## Product authorization
-
-After confirmation, the public CLI was authorized to apply the frozen mix. Status is now `confirmed_and_product_authorized`.
-
-- `process_text` equals `apply_letter_alternating_mix` on ordinary English ASCII
-- `product_approved_carriers_v1()` is `{U+034F, U+FE00}`
-- `release_transform_registry()` stays empty
-- CLI identity is `release-cli-v5`
-- v1 mix publishability sanitizer stays FAIL
-- mix-freeze and mix-confirmation scorecards keep `product_authorized: false` as historical snapshots
-- the threat-model audit keeps `product_authorized: false` as an audit, not the authorization instrument
-
-Spec: `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json`.
-
-Scorecard: `specs/cycle8/fuckmark-cycle8-gate-v2-confirmation-scorecard-v1.json`.
-
-Authorization: `specs/cycle8/fuckmark-cycle8-product-authorization-v1.json`.
-
-Evidence: `evidence/cycle8-gate-v2-confirmation-2026-08-27/`.
-
-Runner: `python -m fuckmark.cycle8_gate_v2_confirmation_hf --seed-base 1200000` (refuses if the artifact already exists).
diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md
deleted file mode 100644
index 1dcc233e..00000000
--- a/docs/cycle8/letter-mix-margin.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# Cycle 8 letter-mix margin
-
-Status: frozen as `cycle8-mix-freeze-v1`. One-shot confirmation is `VERIFIED` **0/192**. Publishability gates: not product-publishable. Not product-authorized.
-
-Development evidence: [`evidence/cycle8-mix-margin-2026-08-26/`](../../evidence/cycle8-mix-margin-2026-08-26/). Confirmation evidence: [`evidence/cycle8-mix-confirmation-2026-08-26/`](../../evidence/cycle8-mix-confirmation-2026-08-26/). See `docs/cycle8/mix-freeze.md`.
-
-The development mechanism `u034f-ufe00-letter-alt-v1` was measured as-is, then frozen. It is not in `release_transform_registry()`. `process_text("I do not agree.")` is unchanged.
-
-## Headline numbers
-
-Fresh reserved-before-generation corpora `1020000` n=64 plus `1030000` n=64:
-
-- mix raw transformed WM **0/128**
-- mix raw transformed UW **0/128**
-- letter-x1 on the same corpora **0/128**
-- mix maximum score **0.513691** versus threshold **0.557099** (gap **0.043407**)
-- Chromium `pre` / textarea / contenteditable pixel-equal on the measured mix fixtures
-- frozen sanitizers match raw mix detections
-- Mn-strip and default-ignorable-strip remove the carriers
-
-Additional independent scale seeds `1040000` n=64 plus `1050000` n=64, reserved before generation:
-
-- mix raw transformed WM **0/256** across all four corpora
-- mix raw transformed UW **0/256**
-- worst mix maximum score **0.519522** versus threshold **0.557099** (gap **0.037577**)
-- the two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten
-
-Letter-x1 system benchmark seeds `980000` and `990000` remain a separate 0/128 with gap 0.003032. Letter-space seeds `1000000` and `1010000` remain **1/128**. Do not rewrite that 1/128 as zero.
-
-One-shot confirmation on preregistered seeds `830000` / `840000` / `850000`: mix **0/192**, mix UW **0/192**, visible **192/192**, worst max 0.524300 (gap 0.032798). Those seeds are spent. Do not rerun looking for zero. The 0/256 development tally is not the confirmation result.
diff --git a/docs/cycle8/letter-system-benchmark.md b/docs/cycle8/letter-system-benchmark.md
deleted file mode 100644
index 8175c441..00000000
--- a/docs/cycle8/letter-system-benchmark.md
+++ /dev/null
@@ -1,24 +0,0 @@
-# Cycle 8 letter-x1 system benchmark
-
-Status: `HYPOTHESIS` / `PROMISING_DEVELOPMENT`. Measurement, not confirmation.
-
-Evidence: [`evidence/cycle8-letter-system-benchmark-2026-08-26/`](../../evidence/cycle8-letter-system-benchmark-2026-08-26/).
-
-The current development mechanism `u034f-letter-x1` was measured as-is. It is not in `release_transform_registry()`. `process_text("I do not agree.")` is unchanged.
-
-## Headline numbers
-
-Fresh reserved-before-generation corpora `980000` n=64 plus `990000` n=64:
-
-- letter-x1 raw transformed WM **0/128**
-- letter-x1 raw transformed UW **0/128**
-- space-x1 on the same corpora **1/128**
-- letter-x1 maximum score **0.554066** versus threshold **0.557099** (gap **0.003032**)
-- fixture visible projection **21/21**
-- Chromium `pre` / textarea / contenteditable pixel-equal on the measured fixtures
-- frozen sanitizers match raw letter detections
-- Mn-strip and default-ignorable-strip remove the carrier
-
-The earlier experimental letter-x1 **0/192** remains a separate tally: 128 seen diagnostic (`930000`+`940000`) plus 64 independent (`970000`). Do not collapse it into the fresh 0/128.
-
-Formal confirmation readiness: `NOT_READY`.
diff --git a/docs/cycle8/mix-deepmind-transfer.md b/docs/cycle8/mix-deepmind-transfer.md
deleted file mode 100644
index e740a59c..00000000
--- a/docs/cycle8/mix-deepmind-transfer.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# Cycle 8 mix DeepMind 30-key transfer
-
-Status: `HYPOTHESIS`. Confirmation-scale independent configuration. Not mix-freeze confirmation. Not a second model. Not product authorization.
-
-This scores frozen mix apply `u034f-ufe00-letter-alt-v1` on GPT-2 text generated by Google `synthid_text.SynthIDGPT2LMHeadModel` using DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys, sampling table 65536). Detection is official `synthid_text.logits_processing.SynthIDLogitsProcessor.compute_g_values` combined with FuckMark weighted mean at frozen threshold `0.5570987654320988`.
-
-It is not Hugging Face `SynthIDTextWatermarkingConfig`. It is not the Cycle 6 nine-key adapter. It is not Mean versus Weighted Mean on the same Hugging Face observations. It is still `openai-community/gpt2`.
-
-Seeds `1060000`, `1070000`, and `1080000` were reserved in `global-seed-ledger-v1` before generation. Seed `920000` n=16 was a prior exploratory look on the same stack and is not part of the 0/192.
-
-## Combined result
-
-| Arm | Detected |
-| --- | ---: |
-| Identity WM | **189/192** |
-| Mix WM | **0/192** |
-| Identity UW | **0/192** |
-| Mix UW | **0/192** |
-
-Mix WM max `0.5067599700507657`. Visible projection passed on every scored row.
-
-| Seed | Identity WM | Mix WM | Mix UW | Mix WM max |
-| ---: | ---: | ---: | ---: | ---: |
-| 1060000 | 63/64 | 0/64 | 0/64 | 0.505630 |
-| 1070000 | 63/64 | 0/64 | 0/64 | 0.502999 |
-| 1080000 | 63/64 | 0/64 | 0/64 | 0.506760 |
-
-`product_authorized` is false. Do not generate `950000`. Do not rewrite `cycle8-mix-confirmation-scorecard-v1`.
-
-See also `docs/cycle8/mix-second-model-transfer.md` for DistilGPT2 n=16 second-model HYPOTHESIS.
diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md
deleted file mode 100644
index ad9160cc..00000000
--- a/docs/cycle8/mix-freeze.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Cycle 8 mix freeze
-
-Status: frozen development mechanism. One-shot confirmation **VERIFIED 0/192**. Not product authorization.
-
-Freeze identity: `cycle8-mix-freeze-v1` (`specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json`). Freeze-time fields stay `confirmation: false` and `confirmation_generated: false`. The confirmation outcome is `cycle8-mix-confirmation-scorecard-v1`.
-
-The frozen mechanism is `u034f-ufe00-letter-alt-v1`. It is not in `release_transform_registry()`. Freeze-time `cli_identity` and `release_registry_empty` are snapshotted as true. Live product authorization is Gate v2 / `release-cli-v5`.
-
-## Frozen contract
-
-- exact user-visible projection
-- carriers U+034F (even selected-site index) and U+FE00 (odd selected-site index)
-- ASCII letter sites outside raw unmerged hard machine spans
-- selected-site cap 192
-- detector-blind, watermark-key-blind, non-neural, deterministic
-- frozen GPT-2 / SynthID Weighted Mean threshold 0.5570987654320988
-- sanitizer matrix: raw, NFKC, Cf-strip, NFKC+Cf-strip, whitespace-collapse, combined, NFC
-
-## Development evidence used to freeze
-
-Four independent reserved-before-generation n=64 corpora (`1020000`, `1030000`, `1040000`, `1050000`):
-
-- mix raw transformed WM **0/256**
-- mix raw transformed UW **0/256**
-- worst mix score **0.519522** versus threshold **0.557099** (gap **0.037577**)
-
-The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. That 0/256 remains `HYPOTHESIS` development evidence.
-
-## Confirmation result
-
-Generated once. Spent. Do not rerun looking for zero. Do not retune on residuals.
-
-Seeds `830000`, `840000`, and `850000`:
-
-- mix raw transformed WM **0/192**
-- mix raw transformed UW **0/192**
-- visible mix WM **192/192**
-- frozen sanitizers match raw zeros
-- worst mix score **0.524300** versus threshold **0.557099** (gap **0.032798**)
-- closest geometry: `cycle8-840000-35-structured_instructional-watermarked`, 45 insertions
-
-Evidence: [`evidence/cycle8-mix-confirmation-2026-08-26/`](../../evidence/cycle8-mix-confirmation-2026-08-26/).
-
-Letter-x1 on those same confirmation corpora is also 0/192 (worst max 0.524425). Do not collapse that diagnostic into the mix confirmation claim.
-
-## Weaknesses
-
-Mn-strip and default-ignorable-strip remove the carriers. Assigned Unicode has no stronger invisible product mechanism that survives those sanitizers while keeping exact visible text. Latin-1 cannot encode the carriers and is an unsupported product encoding. Low-site rows remain closer to the threshold than high-site rows. Token expansion remains large.
-
-The five publishability gates in `docs/cycle8/mix-publishability.md` fail-close product promotion: mix is not product-publishable. Software compatibility now PASSes on the UTF-8 / visible-search product surface. Sanitizer and cross-detector gates still FAIL.
-
-Do not generate `950000`. Freeze-time public CLI remained empty. Live CLI is `release-cli-v5`.
diff --git a/docs/cycle8/mix-publishability.md b/docs/cycle8/mix-publishability.md
deleted file mode 100644
index 24a5ebe9..00000000
--- a/docs/cycle8/mix-publishability.md
+++ /dev/null
@@ -1,82 +0,0 @@
-# Cycle 8 mix publishability gates
-
-Status: **not product-publishable on the v1 report**. Mix freeze confirmation remains `VERIFIED` **0/192**. Live product authorization is Gate v2, not a rewrite of this v1 report.
-
-Report identity: `cycle8-mix-publishability-v1` (`specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json`). This report does not rewrite `cycle8-mix-freeze-v1` or `cycle8-mix-confirmation-scorecard-v1`. Tag `v0.3.0` is not retagged. Historical fields on this report snapshot identity CLI `release-cli-v4` and empty approved carriers. Live CLI is `release-cli-v5`.
-
-The five gates are the bar for calling mix a publishable FuckMark product. Passing a research confirmation is not enough.
-
-## Outcome
-
-| Gate | Verdict | Blocks product |
-| --- | --- | --- |
-| Reproducibility | PASS | yes |
-| Cross-environment visibility invariance | PASS | yes |
-| Real-world software compatibility | PASS | yes |
-| Known sanitizer weaknesses | FAIL | yes |
-| Cross-detector generalization | PASS | yes |
-
-`product_publishable` is false. `product_authorized` is false on this v1 report. Those fields are historical snapshots. Live `product_approved_carriers_v1()` is the frozen mix pair. `process_text("I do not agree.")` equals `apply_letter_alternating_mix`.
-
-## Reproducibility
-
-PASS. The freeze hash, confirmation scorecard hash, and product contract hash replay. Letter-mix apply is deterministic. Confirmation remains mix **0/192**, mix UW **0/192**, visible **192/192**. Do not rerun looking for zero.
-
-## Visibility invariance
-
-PASS on measured Unicode-capable surfaces: exact visible projection, NFC, UTF-8 file bytes, stdin/stdout, and terminal display width on the supported ASCII fixtures. WebKit/Safari pixels and terminal pixels stay UNKNOWN. Chromium `pre` / textarea / contenteditable equality was measured earlier on mix fixtures and is not rehashed here.
-
-## Software compatibility
-
-PASS on the product surface:
-
-- UTF-8 is the only supported product encoding. JSON roundtrips preserve mix.
-- Latin-1, ASCII, and cp1252 are **unsupported**. Mix cannot encode there; the CLI rejects `--encoding latin-1` instead of claiming a roundtrip.
-- Product search is visible-projection search (`visible_contains`). After letter-mix, `do not` is found on the visible projection and missed by raw codepoint `in`.
-- Raw codepoint search is **not** the product search API. Many editors that search UTF-16 code units will miss intra-letter carriers. That is a payload limitation, not a claimed editor Ctrl+F guarantee.
-- Chromium `window.find` HIT for `do not` on mix text was measured on a host with Chrome. That measurement is host-dependent and is **not** hashed into this spec. CI without Chrome reports UNKNOWN.
-- Protected URL and email spans stay intact. Clipboard copies Unicode text. `--visible` writes the product-authorized visible projection.
-
-## Sanitizer weaknesses
-
-FAIL as a product gate. Frozen Cycle 6/7 sanitizers (raw, NFKC, Cf-strip, whitespace-collapse, combined, NFC) keep mix, matching confirmation zeros. Mn-strip and default-ignorable-strip remove both carriers because U+034F and U+FE00 are Mn and default-ignorable. NFKD keeps them.
-
-Assigned-Unicode feasibility `cycle8-invisible-carrier-feasibility-v1` found no stronger Priority-Zero invisible mechanism. Closed set `cycle8-invisible-carrier-closed-set-v1` confirms display-width-0 assigned insertions are only Mn, Me, or Cf. Frozen counts are a CPython 3.12 Unicode snapshot. Live scans on other Python versions must still find zero width-0 assigned insertions outside Mn/Me/Cf and must not claim a stronger mechanism.
-
-- visible/control: 140882
-- Cf: 161 (dies to frozen Cf-strip)
-- Mn: 1985 (dies to Mn-strip; mix lives here)
-- Me enclosing marks: 13 (survive Mn/DI/Cf-strip, display width 0, Chromium `pre` pixels change; rejected)
-- other non-Mn/Cf: 0
-- width-0 Cf that are not default-ignorable: 32 (die to frozen Cf-strip)
-
-Enclosing marks are not product-safe. Cycle 8 freezes that H9 / closed-set boundary rather than changing visible English text.
-
-H12 is a **different class**: general category `Cc`, which H9 skipped as control risk. DEL and C1 except NEXT LINE survive the required sanitizers. Chromium pixels are host-dependent: one research host matched, GitHub Actions Chromium rejected the full apply. Independent reserved seed `1100000` n=16 is control-mix **0/16** WM with identity **15/16**. H13 classifies the remaining post-sanitizer families and finds no conjunction survivor. H14 extends that classification beyond width-0 insertion: `Mc`, NFKC-stable `Lm`, designed blanks, Hangul filler sequences, and font-metric empty glyphs. Those classes either die to the required sanitizers or change Chromium `pre` pixels. H15 measures sequence-level families: grapheme prepend, joining connectors, Hangul L plus V composition, bidi isolate wraps, ISO-6429 escapes, partial-sanitizer remainders, and DejaVu GSUB ligatures. Prepend and joining survive the required sanitizers and change Chromium pixels. Hangul composition dies to NFC or NFKD. Bidi wraps that are pixel-equal on LTR English die to Cf-strip. Escape sequences keep sanitizers as `Cc` plus ASCII and remain visible in Chromium `pre`. Partial remainders collapse to a previously classified class. That does **not** rewrite this mix sanitizer FAIL. Mix still uses U+034F / U+FE00. Control-mix is not product-authorized and is not mix-freeze confirmation. See `docs/cycle8/carrier-research.md`.
-
-## Cross-detector generalization
-
-PASS. Mix-freeze confirmation used GPT-2 / Hugging Face SynthID Weighted Mean at threshold `0.5570987654320988` and remains **0/192**.
-
-Independent Google `synthid-text` 30-key mixin generation and official logits-processor detection on fresh reserved seeds `1060000` / `1070000` / `1080000` is confirmation-scale mix **0/192**, mix UW **0/192**, identity WM **189/192**, identity UW **0/192**, visible pass, mix max `0.506760`. That stack is not the Hugging Face nine-key adapter. It is still GPT-2. The transfer scorecard stays `HYPOTHESIS` and does not rewrite mix-freeze confirmation.
-
-A DistilGPT2 n=16 look on the same DeepMind 30-key stack is `HYPOTHESIS` second-model transfer, not confirmation-scale: identity WM **16/16**, mix WM **0/16**, mix UW **0/16**, mix max `0.504800`. Weights differ from GPT-2. The tokenizer is still GPT-2 BPE. DistilGPT2 is not added to confirmation-scale families.
-
-Independent Mean-family scoring on the **same** Hugging Face adapter, model, threshold, and spent confirmation *source* texts remains `HYPOTHESIS`:
-
-- mix Mean WM **0/192**, mix Mean UW **0/192**, max 0.520947
-- mix Weighted Mean WM **0/192**, mix Weighted Mean UW **0/192**, max 0.524300 (matches confirmation)
-- identity Weighted Mean 185/192 WM and 2/192 UW match confirmation identity counts
-
-That Mean look is not a second model. Bayesian-family evidence was not collected. Closed detectors stay UNKNOWN. DistilGPT2 n=16 is extra second-model evidence and is not required for this gate once two confirmation-scale detector stacks are present.
-
-See `evidence/cycle8-mix-mean-transfer-2026-08-26/`, `docs/cycle8/mix-deepmind-transfer.md`, and `docs/cycle8/mix-second-model-transfer.md`.
-
-## What this does not do
-
-- It does not authorize mix in `release_transform_registry()`.
-- It does not retag or republish `v0.3.0`.
-- It does not generate `950000`.
-- It does not rewrite the 0/128, 0/256, or 0/192 mix scorecards.
-
-See `docs/cycle8/mix-freeze.md`, `docs/cycle8/carrier-research.md`, and `docs/product-contract.md`.
diff --git a/docs/cycle8/mix-second-model-transfer.md b/docs/cycle8/mix-second-model-transfer.md
deleted file mode 100644
index dcf2862e..00000000
--- a/docs/cycle8/mix-second-model-transfer.md
+++ /dev/null
@@ -1,24 +0,0 @@
-# Cycle 8 mix DistilGPT2 second-model transfer
-
-Status: `HYPOTHESIS`. n=16. Not mix-freeze confirmation. Not confirmation-scale. Not product authorization.
-
-Seed `1090000` was reserved in `global-seed-ledger-v1` before generation. The corpus is DistilGPT2 continuations from `synthid_text.SynthIDGPT2LMHeadModel` with DeepMind `DEFAULT_WATERMARKING_CONFIG` (30 keys). Detection used official `synthid_text.logits_processing.SynthIDLogitsProcessor` weighted mean at frozen threshold `0.5570987654320988`.
-
-This is a second model: `distilbert/distilgpt2` revision `2290a62682d06624634c1f46a6ad5be0f47f38aa` versus confirmation `openai-community/gpt2`. Weights differ. The tokenizer remains GPT-2 BPE (vocab 50257). It is not a second keying scheme; `second_configuration` is false.
-
-Independent configuration evidence is the separate DeepMind 30-key GPT-2 transfer on seeds `1060000` / `1070000` / `1080000` (`docs/cycle8/mix-deepmind-transfer.md`).
-
-## Result
-
-| Arm | Detected |
-| --- | ---: |
-| Identity WM | **16/16** |
-| Mix WM | **0/16** |
-| Identity UW | **0/16** |
-| Mix UW | **0/16** |
-
-Mix WM max `0.5047997827277791`. Visible projection passed on every scored row.
-
-Identity 16/16 shows the DistilGPT2 watermark is live under this stack. Mix 0/16 is a directional transfer look, not a 0/192 confirmation rewrite.
-
-`product_authorized` is false. Do not generate `950000`. Do not add DistilGPT2 n=16 to confirmation-scale families.
diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md
deleted file mode 100644
index 6554c775..00000000
--- a/docs/cycle8/seed-ledger.md
+++ /dev/null
@@ -1,57 +0,0 @@
-# Cycle 8 seed ledger
-
-Current ledger identity: `cycle8-seed-ledger-v2` (`fuckmark/cycle8/ledger.py`).
-
-The PR #97 snapshot `cycle8-seed-ledger-v1` remains frozen under `specs/cycle8/fuckmark-cycle8-seed-ledger-v1.json`. Do not rewrite it.
-
-Seeds `890000`, `900000`, `910000`, and `920000` were assigned **before** any Cycle 8 text generation or detector look. Scale seeds `930000`, `940000`, and `950000` and their topics were reserved in `global-seed-ledger-v1` **before** any scale generation. Density seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` **before** density generation. Letter seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` **before** letter generation. Benchmark seeds `980000` and `990000` and topics `letter carrier system benchmark` and `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` **before** benchmark generation. Margin seeds `1000000` and `1010000` were reserved before letter-space generation. Mix seeds `1020000` and `1030000` were reserved before letter-mix generation. Mix scale seeds `1040000` and `1050000` were reserved before mix scale generation. DeepMind mix transfer seeds `1060000`, `1070000`, and `1080000` were reserved before DeepMind transfer generation. Second-model mix transfer seed `1090000` was reserved before second-model transfer generation. Control-mix exploratory seed `1100000` was reserved before control-mix generation. Gate v2 confirmation seeds `1200000`, `1210000`, and `1220000` were reserved in `global-seed-ledger-v1` **before** Gate v2 confirmation generation.
-
-See also `docs/seeds.md`.
-
-## Spent or blocked (forbidden)
-
-| Seed | Why |
-| --- | --- |
-| 760000, 770000, 780000 | Cycle 6 formal confirmation. Spent. |
-| 720000, 730000 | Cycle 6 development. Spent. |
-| 810000, 860000, 870000 | Cycle 7 exploratory. Spent for new rule construction. |
-| 820000 | Cycle 7 Stage B3 validation. Spent. |
-| 880000 | Cycle 7 Stage C reserved validation. **PUBLICLY_EXPOSED** by closed unmerged PR #98. Not eligible as unseen validation. |
-| 830000, 840000, 850000 | Cycle 8 mix freeze confirmation. Generated once. Spent. Mix 0/192. Do not retune. Do not rerun looking for zero. |
-| 1200000, 1210000, 1220000 | Cycle 8 Gate v2 confirmation. Generated once. Spent. Mix required-sanitizer WM 0/192. Do not retune. Do not rerun looking for zero. |
-| 890000, 900000, 910000 | Cycle 8 tiny n=4 already generated and scored. Spent as unseen validation. |
-
-## Cycle 8 roles
-
-| Role | Seed | Topic | May score detectors? |
-| --- | --- | --- | --- |
-| Tiny exploratory (spent) | 890000 | invisible carrier development | existing tiny evidence only |
-| Tiny replication (spent) | 900000 | invisible carrier replication | existing tiny evidence only |
-| Tiny validation (spent) | 910000 | invisible carrier validation | existing tiny evidence only |
-| Secondary exploratory | 920000 | invisible carrier development | DeepMind 30-key n=16 HYPOTHESIS: identity 16/16, mix 0/16; not part of 0/192 |
-| Scale exploratory | 930000 | carrier scaling | yes, development only, after reservation |
-| Scale replication | 940000 | independent scale replication | yes, after 930000, development only |
-| Scale validation | 950000 | clean scale validation | only after a U+034F x1 freeze; do not generate yet |
-| Density exploratory | 960000 | carrier density follow-up | scored n=16; both arms 1/16; density did not beat space x1; letter-x1 diagnostic rescore 0/16; do not retune on residual text |
-| Letter exploratory | 970000 | intra-word carrier follow-up | reserved before generation; independent letter-x1 n=16 is 0/16 then n=64 is 0/64; experimental 0/192 is 128 seen plus 64 independent; not confirmation |
-| Letter benchmark primary | 980000 | letter carrier system benchmark | reserved before generation; n=64 letter-x1 0/64, space-x1 0/64; not confirmation |
-| Letter benchmark replication | 990000 | letter carrier benchmark replication | reserved before generation; n=64 letter-x1 0/64, space-x1 1/64; combined letter 0/128; not confirmation |
-| Margin primary | 1000000 | margin robustness development | reserved before generation; letter-space n=64 0/64; not confirmation |
-| Margin replication | 1010000 | margin robustness replication | reserved before generation; letter-space n=64 1/64; combined letter-space 1/128; do not rewrite as zero |
-| Mix primary | 1020000 | letter mix margin development | reserved before generation; letter-alt n=64 0/64, max 0.513691; not confirmation |
-| Mix replication | 1030000 | letter mix margin replication | reserved before generation; letter-alt n=64 0/64, max 0.513071; combined mix 0/128 gap 0.043407; not confirmation |
-| Mix scale primary | 1040000 | letter mix scale development | reserved before generation; letter-alt n=64 0/64, max 0.519522; not confirmation |
-| Mix scale replication | 1050000 | letter mix scale replication | reserved before generation; letter-alt n=64 0/64, max 0.510505; combined mix 0/256; not confirmation |
-| Mix freeze confirmation primary | 830000 | mix formal confirmation primary | generated once under cycle8-mix-freeze-v1; mix 0/64; combined 0/192; spent |
-| Mix freeze confirmation replication | 840000 | mix formal confirmation replication | generated once; mix 0/64, max 0.524300; combined 0/192; spent |
-| Mix freeze confirmation holdout | 850000 | mix formal confirmation holdout | generated once; mix 0/64; combined 0/192; spent |
-| DeepMind transfer primary | 1060000 | deepmind mix transfer primary | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
-| DeepMind transfer replication | 1070000 | deepmind mix transfer replication | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
-| DeepMind transfer holdout | 1080000 | deepmind mix transfer holdout | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS; not mix-freeze confirmation |
-| Second-model transfer | 1090000 | second model mix transfer | reserved before generation; DistilGPT2 n=16 HYPOTHESIS: identity 16/16, mix 0/16; not confirmation-scale |
-| Control-mix exploratory | 1100000 | control mix sanitizer exploratory | reserved before generation; independent H12 control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
-| Gate v2 confirmation primary | 1200000 | gate v2 confirmation primary | generated once under cycle8-publishability-gate-v2; identity 64/64, mix required 0/64, mix UW 0/64, Unicode mix 0/64, carrier-free 61/64, visible 64/64, mix max 0.519124; combined 0/192; spent |
-| Gate v2 confirmation replication | 1210000 | gate v2 confirmation replication | generated once; identity 61/64, mix required 0/64, mix max 0.526739; combined 0/192; spent |
-| Gate v2 confirmation holdout | 1220000 | gate v2 confirmation holdout | generated once; identity 63/64, mix required 0/64, mix max 0.516419; combined 0/192; spent |
-
-Do not promote any of these seeds into confirmation after seeing scores.
diff --git a/docs/decisions/visible-invariance-correction.md b/docs/decisions/visible-invariance-correction.md
deleted file mode 100644
index 69fe1ca3..00000000
--- a/docs/decisions/visible-invariance-correction.md
+++ /dev/null
@@ -1,39 +0,0 @@
-# Decision: restore exact user-visible invariance
-
-Live GitHub at the start of this work:
-
-- repository `byte271/FuckMark` exists and is public;
-- `main` HEAD `d7eeb0f905b7046ddc4a4d8281354f06713d58b0` (PR #96 squash-merge);
-- PR #93, #94, #95, #96 merged;
-- no open PRs;
-- no open issues;
-- latest tag `v0.2.0`;
-- this environment's prebuilt checkout was stale at `ddccd74` until `origin/main` was fetched.
-
-## Violation
-
-The public CLI called `release_transform_registry()`, which resolved to `default_contraction_rules()`. Local reproduction before the fix:
-
-| Input | CLI output |
-| --- | --- |
-| `I do not agree.` | `I don't agree.` |
-| `We cannot continue.` | `We can't continue.` |
-| `You should not do that.` | `You shouldn't do that.` |
-
-Hard invariants allowed this because they checked protected spans, negation, and modality, not visible projection.
-
-Cycle 6 formal `NONZERO_RESIDUAL` 7/192 remains valid detector science and is **PRODUCT_DISQUALIFIED** (visible U+0020 runs).
-
-Cycle 7 Stage A/B/C remain **INSUFFICIENT_EVIDENCE** and **PRODUCT_DISQUALIFIED** (visible word/punctuation/layout edits).
-
-U+200C remains diagnostic: product-aligned on visibility, **REJECTED** as a durable mechanism because Cf-strip removes it.
-
-## Repair
-
-- Versioned contract `fuckmark-user-visible-invariance-v1`.
-- Visible-projection validator and product hard gate.
-- `release_transform_registry()` is an empty product registry.
-- CLI `release-cli-v4` fail-closes to original text.
-- Historical contraction/lexical/syntax/spacing registries remain for replay under explicit names.
-- Cycle 8 starts invisible-carrier research. Combining grapheme joiner U+034F is a durable-track sanitizer candidate, not a release promotion.
-- The GitHub CI installed-CLI check still expected contraction output after the product path was emptied. That leftover assertion is now aligned with unchanged visible text.
diff --git a/docs/install.md b/docs/install.md
index f7eb4058..6d1e129a 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -1,6 +1,6 @@
 # Installation
 
-Python 3.11 or newer. The public CLI is `fuckmark` / `FuckMark` / `Fuckmark` (`release-cli-v5`).
+Python 3.11 or newer. The public CLI is `fuckmark` / `FuckMark` / `Fuckmark`.
 
 Do not pipe `https://d.q1z.org/mark` into a shell.
 
@@ -31,7 +31,7 @@ Download `SHA256SUMS.txt` from the same release and confirm the wheel digest bef
 https://github.com/byte271/FuckMark/releases/download/v0.4.0/SHA256SUMS.txt
 ```
 
-The historical v0.3.0 identity-CLI wheel SHA-256 is:
+The historical v0.3.0 wheel SHA-256 is:
 
 ```text
 cb4ee7b6c06d1dde8c612c237df78f68f8364bc74bf469086288e55a2d5c9325  fuckmark-0.3.0-py3-none-any.whl
@@ -64,7 +64,7 @@ fuckmark --version
 printf 'I do not agree.\n' | fuckmark --visible
 ```
 
-`--version` must begin with `FuckMark 0.4.0` and mention `release-cli-v5`. `--visible` must print `I do not agree.`
+`--version` must print `FuckMark 0.4.0`. `--visible` must print `I do not agree.`
 
 In a terminal, `fuckmark` with no arguments opens the paste UI. Finish with `:done`. The result is copied, not printed.
 
@@ -75,13 +75,6 @@ python -m pip install -e ".[dev]"
 python -m pytest
 ```
 
-Research extras (not required to run the CLI):
-
-```text
-python -m pip install -e ".[research]"
-python -m pip install -r requirements-smoke.txt
-```
-
 ## Troubleshooting
 
 If the command is not found, open a new terminal so PATH updates load.
diff --git a/docs/product-contract.md b/docs/product-contract.md
index 1a78d9a0..2c46d947 100644
--- a/docs/product-contract.md
+++ b/docs/product-contract.md
@@ -42,7 +42,7 @@ Live `product_approved_carriers_v1()` is `{U+034F, U+FE00}`. The v1 contract's e
 
 Authorization is recorded in `cycle8-publishability-gate-v2` (`confirmed_and_product_authorized`) and `cycle8-product-authorization-v1`. Confirmation does not by itself enable the CLI; the engineering step did.
 
-The Cycle 8 v1 mix publishability report (`cycle8-mix-publishability-v1`) stays `product_publishable: false` because sanitizer weaknesses FAIL: Mn-strip and default-ignorable-strip remove the mix carriers. Gate v2 treats those two as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE` and does not weaken `required_sanitizers_keep`. See `docs/cycle8/mix-publishability.md` and `docs/cycle8/gate-v2.md`.
+The Cycle 8 v1 mix publishability report (`cycle8-mix-publishability-v1`) stays `product_publishable: false` because sanitizer weaknesses FAIL: Mn-strip and default-ignorable-strip remove the mix carriers. Gate v2 treats those two as `stress_only_not_frozen` / `KNOWN_DESTRUCTIVE_COUNTERMEASURE` and does not weaken `required_sanitizers_keep`. See `specs/cycle8/fuckmark-cycle8-mix-publishability-v1.json` and `specs/cycle8/fuckmark-cycle8-publishability-gate-v2.json`.
 
 U+200C is not authorized. It is a diagnostic baseline and is removed by Cf stripping. H12 control-mix is not authorized.
 
diff --git a/docs/research.md b/docs/research.md
new file mode 100644
index 00000000..70f5c8a5
--- /dev/null
+++ b/docs/research.md
@@ -0,0 +1,11 @@
+# Research archive
+
+This directory's user manuals are [`install.md`](install.md) and [`cli.md`](cli.md).
+
+Frozen scientific records are not the user manual. They stay in the repository so the product claims can be audited:
+
+- [`evidence/`](../evidence/) — confirmation corpora, scorecards, and hashes
+- [`specs/`](../specs/) — frozen contracts and protocol JSON
+- [`evidence/frozen-spec-revision-2/spec.md`](../evidence/frozen-spec-revision-2/spec.md) — historical research specification (old project name; not the product identity)
+
+Do not treat those files as installation or usage docs.
diff --git a/docs/seeds.md b/docs/seeds.md
deleted file mode 100644
index 4844b26a..00000000
--- a/docs/seeds.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Global seed provenance ledger
-
-Ledger identity: `global-seed-ledger-v1` (`fuckmark/seeds/ledger.py`).
-
-This ledger is the cross-cycle source of truth for seed reuse. A seed must be reserved here before any new generation.
-
-## Hard rules
-
-- Seeds `830000`, `840000`, and `850000` were generated once under `cycle8-mix-freeze-v1` and are spent. Do not retune on those confirmation corpora. Do not rerun looking for zero. Do not inspect residual text to write lexical rules.
-- Seed `880000` is **PUBLICLY_EXPOSED**. Closed unmerged [PR #98](https://github.com/byte271/FuckMark/pull/98) generated and scored it as Cycle 7 Stage D validation. It is **not** eligible as unseen validation.
-- Seed `890000` is Cycle 8 tiny exploratory on `main`. The same identifier was also used on unmerged PR #98 for Cycle 7 Stage D. Do not treat it as unseen.
-- Do not generate `950000` until the U+034F x1 mechanism is frozen.
-- Seed `960000` is reserved for detector-blind U+034F space plus word-final letter density follow-up. Do not inspect `930000` residual text to write lexical rules.
-- Seed `970000` is reserved for detector-blind intra-word letter-carrier follow-up. It was reserved in `global-seed-ledger-v1` before generation.
-- Seeds `980000` and `990000` are reserved for the letter-x1 system benchmark. They were reserved in `global-seed-ledger-v1` before generation.
-- Seeds `1000000` and `1010000` are reserved for letter-space margin follow-up. Combined letter-space is 1/128.
-- Seeds `1020000` and `1030000` are reserved for U+034F/U+FE00 letter-mix margin follow-up. Combined mix is 0/128.
-- Seeds `1040000` and `1050000` are reserved for letter-mix scale follow-up. Combined with `1020000`+`1030000`, mix is 0/256. That 0/256 is development scale, not confirmation.
-- Seeds `1060000`, `1070000`, and `1080000` are reserved for independent DeepMind synthid-text 30-key mix transfer. Combined mix is 0/192. That transfer is HYPOTHESIS, not mix-freeze confirmation.
-- Seed `1090000` is reserved for DistilGPT2 second-model mix transfer. n=16 is HYPOTHESIS, not confirmation-scale.
-- Seed `1100000` is reserved for independent H12 control-mix sanitizer exploratory n=16. Generated and scored: identity WM 15/16, control-mix WM 0/16. Do not treat the seen `920000` diagnostic as this corpus. Not confirmation.
-- Seeds `1200000`, `1210000`, and `1220000` were generated once as Gate v2 confirmation and are spent. Combined mix required-sanitizer WM 0/192, mix UW 0/192, visible 192/192, identity 188/192, carrier-free Unicode 182/192. Do not rerun looking for zero. Do not inspect `830000` / `840000` / `850000`. Do not generate `950000`. Do not retune after looking at detector scores. Live product authorization of the frozen mix is a later engineering step and does not reuse these seeds.
-
-## Cycle 8 scale reservation (before generation)
-
-| Seed | Role | Topic | Status |
-| --- | --- | --- | --- |
-| 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16, 0/32, then 1/64 U+034F space x1 raw WM; letter-x1 diagnostic rescore of this seen corpus is 0/64; do not rewrite space 1/64 as zero |
-| 940000 | scale replication | `independent scale replication` | generated and scored: independent 0/64 U+034F space x1 raw WM; max score 0.557052 vs threshold 0.557099; letter-x1 diagnostic rescore of this seen corpus is 0/64 |
-| 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze |
-| 960000 | density exploratory | `carrier density follow-up` | generated and scored n=16: space-x1 1/16 and space-wordfinal 1/16 on the same residual row; density did not beat space x1; letter-x1 diagnostic rescore of this seen corpus is 0/16; do not rewrite space 1/16 as zero |
-| 970000 | letter exploratory | `intra-word carrier follow-up` | reserved before generation; independent letter-x1 n=16 is 0/16 then n=64 is 0/64; experimental 0/192 is 128 seen plus 64 independent; not confirmation |
-| 980000 | letter benchmark primary | `letter carrier system benchmark` | reserved before generation; system-benchmark n=64: letter-x1 0/64, space-x1 0/64, identity 62/64; letter max 0.554066; not confirmation |
-| 990000 | letter benchmark replication | `letter carrier benchmark replication` | reserved before generation; independent system-benchmark n=64: letter-x1 0/64, space-x1 1/64, identity 64/64; combined with 980000 letter 0/128 and space 1/128; not confirmation |
-| 1000000 | margin primary | `margin robustness development` | reserved before generation; letter-space n=64 0/64; not confirmation |
-| 1010000 | margin replication | `margin robustness replication` | reserved before generation; letter-space n=64 1/64; combined letter-space 1/128; do not rewrite as zero |
-| 1020000 | mix primary | `letter mix margin development` | reserved before generation; letter-alt n=64 0/64, max 0.513691, gap 0.043407; not confirmation |
-| 1030000 | mix replication | `letter mix margin replication` | reserved before generation; letter-alt n=64 0/64, max 0.513071; combined mix 0/128; not confirmation |
-| 1040000 | mix scale primary | `letter mix scale development` | reserved before generation; letter-alt n=64 0/64, max 0.519522, gap 0.037577; not confirmation |
-| 1050000 | mix scale replication | `letter mix scale replication` | reserved before generation; letter-alt n=64 0/64, max 0.510505; combined mix 0/256; not confirmation |
-| 830000 | mix freeze confirmation primary | `mix formal confirmation primary` | generated once under cycle8-mix-freeze-v1; mix 0/64; combined 0/192; spent |
-| 840000 | mix freeze confirmation replication | `mix formal confirmation replication` | generated once; mix 0/64, max 0.524300; combined 0/192; spent |
-| 850000 | mix freeze confirmation holdout | `mix formal confirmation holdout` | generated once; mix 0/64; combined 0/192; spent |
-| 1060000 | DeepMind transfer primary | `deepmind mix transfer primary` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
-| 1070000 | DeepMind transfer replication | `deepmind mix transfer replication` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
-| 1080000 | DeepMind transfer holdout | `deepmind mix transfer holdout` | reserved before generation; identity 63/64, mix 0/64; combined mix 0/192; HYPOTHESIS |
-| 1090000 | second-model transfer | `second model mix transfer` | reserved before generation; DistilGPT2 n=16 HYPOTHESIS identity 16/16 mix 0/16; not confirmation-scale |
-| 1100000 | control-mix exploratory | `control mix sanitizer exploratory` | reserved before generation; independent H12 Cc control-mix n=16: identity 15/16, control-mix 0/16; seen 920000 diagnostic is not this corpus |
-| 1200000 | Gate v2 confirmation primary | `gate v2 confirmation primary` | generated once under cycle8-publishability-gate-v2; identity 64/64, mix required 0/64, mix UW 0/64, Unicode mix 0/64, carrier-free 61/64, visible 64/64, mix max 0.519124; combined 0/192; spent |
-| 1210000 | Gate v2 confirmation replication | `gate v2 confirmation replication` | generated once; identity 61/64, mix required 0/64, mix max 0.526739; combined 0/192; spent |
-| 1220000 | Gate v2 confirmation holdout | `gate v2 confirmation holdout` | generated once; identity 63/64, mix required 0/64, mix max 0.516419; combined 0/192; spent |
-
-## Historical v1 Cycle 8 ledger
-
-`specs/cycle8/fuckmark-cycle8-seed-ledger-v1.json` remains frozen as the PR #97 snapshot. It still says `880000` was unseen. That claim is historical and is superseded by this ledger and `cycle8-seed-ledger-v2`.
diff --git a/SHA256SUMS.txt b/evidence/frozen-spec-revision-2/SHA256SUMS.txt
similarity index 100%
rename from SHA256SUMS.txt
rename to evidence/frozen-spec-revision-2/SHA256SUMS.txt
diff --git a/spec.md b/evidence/frozen-spec-revision-2/spec.md
similarity index 100%
rename from spec.md
rename to evidence/frozen-spec-revision-2/spec.md
diff --git a/fuckmark/cli.py b/fuckmark/cli.py
index 8fc99de6..5d91f28a 100644
--- a/fuckmark/cli.py
+++ b/fuckmark/cli.py
@@ -20,7 +20,6 @@
     product_approved_carriers_v1,
     project_visible_v1,
 )
-from .transforms import TRANSFORM_REGISTRY_ALGORITHM_VERSION
 
 
 INTERACTIVE_DONE = ":done"
@@ -132,10 +131,7 @@ def _parser() -> argparse.ArgumentParser:
     parser.add_argument(
         "--version",
         action="version",
-        version=(
-            f"{__project_name__} {__version__} "
-            f"({RELEASE_CLI_ALGORITHM_VERSION}; {TRANSFORM_REGISTRY_ALGORITHM_VERSION})"
-        ),
+        version=f"{__project_name__} {__version__}",
     )
     parser.add_argument(
         "--stdin",
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 3df6045e..03e2c458 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -311,15 +311,15 @@ def fail(_: str) -> None:
     assert output.getvalue().count(expected) == 1
 
 
-def test_cli_version_reports_project_and_algorithm_identity(capsys) -> None:
+def test_cli_version_reports_project_identity(capsys) -> None:
     with pytest.raises(SystemExit) as result:
         main(argv=("--version",))
     assert result.value.code == 0
-    rendered = capsys.readouterr().out
-    assert f"FuckMark {__version__}" in rendered
+    rendered = capsys.readouterr().out.strip()
+    assert rendered == f"FuckMark {__version__}"
     assert RELEASE_CLI_ALGORITHM_VERSION == "release-cli-v5"
-    assert "release-cli-v5" in rendered
-    assert "transform-registry-v6" in rendered
+    assert "release-cli-v5" not in rendered
+    assert "transform-registry" not in rendered
 
 
 @pytest.mark.parametrize("option", (("--stdin",), ("--non-interactive",)))
diff --git a/tests/test_m0_source_freeze.py b/tests/test_m0_source_freeze.py
index ace762a6..cddd7e43 100644
--- a/tests/test_m0_source_freeze.py
+++ b/tests/test_m0_source_freeze.py
@@ -14,8 +14,8 @@ def _sha256(path: Path) -> str:
 
 
 def test_frozen_revision_2_spec_is_exact() -> None:
-    spec = ROOT / "spec.md"
-    sums = ROOT / "SHA256SUMS.txt"
+    spec = ROOT / "evidence" / "frozen-spec-revision-2" / "spec.md"
+    sums = ROOT / "evidence" / "frozen-spec-revision-2" / "SHA256SUMS.txt"
     assert spec.is_file()
     assert spec.stat().st_size == 145372
     assert _sha256(spec) == SPEC_SHA256
diff --git a/tests/test_project_identity.py b/tests/test_project_identity.py
index f851c18d..f14e8334 100644
--- a/tests/test_project_identity.py
+++ b/tests/test_project_identity.py
@@ -15,7 +15,7 @@ def test_project_identity_is_fuckmark_v040() -> None:
 
 def test_legacy_project_identity_is_absent_outside_immutable_spec() -> None:
     root = Path(__file__).resolve().parents[1]
-    frozen_spec = root / "spec.md"
+    frozen_spec = root / "evidence" / "frozen-spec-revision-2" / "spec.md"
     forbidden = (
         "Watermark " + "Fracture " + "Lab",
         "watermark-" + "fracture-" + "lab",
diff --git a/tools/verify_release_install.py b/tools/verify_release_install.py
index f69048f4..27da6b88 100644
--- a/tools/verify_release_install.py
+++ b/tools/verify_release_install.py
@@ -70,7 +70,7 @@ def _verify_artifact(artifact: Path) -> None:
             if not command.is_file():
                 raise RuntimeError(f"missing installed console command: {command.name}")
             version = _run([str(command), "--version"], capture_output=True, env=environment).stdout
-            if f"FuckMark {PROJECT_VERSION}" not in version or "release-cli-v5" not in version:
+            if f"FuckMark {PROJECT_VERSION}" not in version or "release-cli" in version:
                 raise RuntimeError(f"unexpected version output from {command.name}: {version!r}")
             try:
                 transformed = _run(