From cd02697b52a7635d1c4352d17c0c651d7bf776c3 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 02:58:13 +0000 Subject: [PATCH 01/13] Reserve Cycle 8 scale seeds and mark 880000 publicly exposed. Add a global seed provenance ledger. Reclassify 880000 as PUBLICLY_EXPOSED by closed unmerged PR #98 so it cannot be used as unseen validation. Reserve 930000/940000/950000 and their topics before any scale generation. Keep confirmation reserves 830000/840000/850000 untouched. Freeze U+034F x1 as the scale mechanism and add UTF-8/NFC/stdio roundtrip checks. Co-authored-by: Byte271 --- CHANGELOG.md | 1 + README.md | 2 + docs/cycle7/README.md | 6 +- docs/cycle7/seed-ledger.md | 6 +- docs/cycle7/stage-c-decision.md | 2 + docs/cycle8/README.md | 2 +- docs/cycle8/seed-ledger.md | 26 ++- docs/seeds.md | 24 +++ fuckmark/cycle7/ledger.py | 16 +- fuckmark/cycle8/__init__.py | 6 + fuckmark/cycle8/compare.py | 4 + fuckmark/cycle8/decision.py | 73 +++++++- fuckmark/cycle8/ledger.py | 55 +++++- fuckmark/cycle8/sanitize.py | 18 ++ fuckmark/cycle8_hf.py | 156 ++++++++++++++--- fuckmark/cycle8_scale_hf.py | 65 +++++++ fuckmark/product/roundtrip.py | 76 +++++++++ fuckmark/seeds/__init__.py | 35 ++++ fuckmark/seeds/ledger.py | 158 ++++++++++++++++++ .../fuckmark-cycle8-seed-ledger-v2.json | 1 + specs/fuckmark-global-seed-ledger-v1.json | 1 + tests/test_cycle7_ledger.py | 6 +- tests/test_cycle7_stage_b.py | 9 +- tests/test_cycle8_carriers.py | 22 ++- tests/test_cycle8_scale.py | 45 +++++ tests/test_global_seed_ledger.py | 64 +++++++ tests/test_product_roundtrip.py | 44 +++++ 27 files changed, 866 insertions(+), 57 deletions(-) create mode 100644 docs/seeds.md create mode 100644 fuckmark/cycle8/sanitize.py create mode 100644 fuckmark/cycle8_scale_hf.py create mode 100644 fuckmark/product/roundtrip.py create mode 100644 fuckmark/seeds/__init__.py create mode 100644 fuckmark/seeds/ledger.py create mode 100644 specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json create mode 100644 specs/fuckmark-global-seed-ledger-v1.json create mode 100644 tests/test_cycle8_scale.py create mode 100644 tests/test_global_seed_ledger.py create mode 100644 tests/test_product_roundtrip.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 2d29dc03..d46db162 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -12,6 +12,7 @@ - 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. +- 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. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index bd074eb9..74032d92 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,8 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. +Cycle 8 U+034F x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS` on three tiny 4-pair corpora (0/12 transformed WM). It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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 tagged release: v0.2.0** diff --git a/docs/cycle7/README.md b/docs/cycle7/README.md index 5f8462e4..07a93ae6 100644 --- a/docs/cycle7/README.md +++ b/docs/cycle7/README.md @@ -35,7 +35,7 @@ See `docs/cycle7/seed-ledger.md` and `fuckmark/cycle7/ledger.py`. | 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` | unseen until a v4 freeze | +| 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. @@ -90,11 +90,11 @@ Details: `docs/cycle7/stage-a-decision.md`. 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 the next unused validation split and has not been inspected. Seeds `830000` / `840000` / `850000` remain unseen confirmation reserves. +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` remain unseen confirmation reserves. ## 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. Details: `docs/cycle7/stage-c-decision.md`. +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: diff --git a/docs/cycle7/seed-ledger.md b/docs/cycle7/seed-ledger.md index fe06f2b7..9967498f 100644 --- a/docs/cycle7/seed-ledger.md +++ b/docs/cycle7/seed-ledger.md @@ -1,6 +1,8 @@ # Cycle 7 seed ledger -Ledger identity: `cycle7-seed-ledger-v3` (`fuckmark/cycle7/ledger.py`). +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. @@ -21,7 +23,7 @@ Seeds were assigned **before** Cycle 7 detector scoring. Seed `860000` and topic | 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 | **not yet inspected**; reserved until catalog v4 is frozen | +| Validation development (Stage C, reserved) | 880000 | **PUBLICLY_EXPOSED** by closed unmerged PR #98; not eligible as unseen validation | | Confirmation reserved | 830000, 840000, 850000 | **no** until a later frozen confirmation protocol | Do not promote 810000, 820000, 860000, 870000, or 880000 into confirmation after seeing scores. diff --git a/docs/cycle7/stage-c-decision.md b/docs/cycle7/stage-c-decision.md index dc683ba8..a9bdeea1 100644 --- a/docs/cycle7/stage-c-decision.md +++ b/docs/cycle7/stage-c-decision.md @@ -4,6 +4,8 @@ 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. diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index 7058f196..085aa9ff 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`. Seeds `890000`, `900000`, `910000`, and `920000` were assigned before Cycle 8 generation. Do not inspect `830000` / `840000` / `850000`. Do not inspect Cycle 7 reserved `880000`. +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. Do not inspect `830000` / `840000` / `850000`. Seed `880000` is **PUBLICLY_EXPOSED** by closed unmerged PR #98 and is not eligible as unseen validation. ## Carrier research diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index 46500441..d85bd030 100644 --- a/docs/cycle8/seed-ledger.md +++ b/docs/cycle8/seed-ledger.md @@ -1,8 +1,12 @@ # Cycle 8 seed ledger -Ledger identity: `cycle8-seed-ledger-v1` (`fuckmark/cycle8/ledger.py`). +Current ledger identity: `cycle8-seed-ledger-v2` (`fuckmark/cycle8/ledger.py`). -Seeds were assigned **before** any Cycle 8 text generation or detector look. +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. + +See also `docs/seeds.md`. ## Spent or blocked (forbidden) @@ -12,16 +16,20 @@ Seeds were assigned **before** any Cycle 8 text generation or detector look. | 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 reserved validation. Still unseen. Do not inspect from Cycle 8. | -| 830000, 840000, 850000 | Confirmation reserved. Do not inspect. | +| 880000 | Cycle 7 Stage C reserved validation. **PUBLICLY_EXPOSED** by closed unmerged PR #98. Not eligible as unseen validation. | +| 830000, 840000, 850000 | Confirmation reserved. Do not inspect content. | +| 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? | | --- | --- | --- | --- | -| Exploratory development | 890000 | invisible carrier development | yes, development only | -| Exploratory replication | 900000 | invisible carrier replication | yes, after freeze of a mechanism from 890000 | -| Validation | 910000 | invisible carrier validation | only after a freeze; do not retune | -| Secondary exploratory | 920000 | unused unless 890000 is exhausted | yes, development only | +| 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 | +| 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 | -Do not promote 890000, 900000, 910000, or 920000 into confirmation after seeing scores. +Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md new file mode 100644 index 00000000..c52fd0b8 --- /dev/null +++ b/docs/seeds.md @@ -0,0 +1,24 @@ +# 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 + +- Do not generate, tokenize, score, or inspect content of confirmation reserves `830000`, `840000`, `850000`. +- 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. + +## Cycle 8 scale reservation (before generation) + +| Seed | Role | Topic | Status | +| --- | --- | --- | --- | +| 930000 | scale exploratory | `carrier scaling` | reserved; not generated at reservation time | +| 940000 | scale replication | `independent scale replication` | reserved; not generated | +| 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | + +## 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/fuckmark/cycle7/ledger.py b/fuckmark/cycle7/ledger.py index 6f7529db..7dcd4c9d 100644 --- a/fuckmark/cycle7/ledger.py +++ b/fuckmark/cycle7/ledger.py @@ -6,7 +6,7 @@ from ..hashing import sha256_json -CYCLE7_LEDGER_VERSION = "cycle7-seed-ledger-v3" +CYCLE7_LEDGER_VERSION = "cycle7-seed-ledger-v4" CYCLE7_EXPLORATORY_ROLE = "exploratory_development" CYCLE7_VALIDATION_ROLE = "validation_development" CYCLE7_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" @@ -33,8 +33,9 @@ CYCLE7_VALIDATION_SEED_BASE = 820_000 CYCLE7_STAGE_C_VALIDATION_SEED_BASE = 880_000 CYCLE7_VALIDATION_SEED_BASES = (820_000, 880_000) -CYCLE7_USED_VALIDATION_SEED_BASES = (820_000,) -CYCLE7_ACTIVE_VALIDATION_SEED_BASES = (880_000,) +CYCLE7_USED_VALIDATION_SEED_BASES = (820_000, 880_000) +CYCLE7_ACTIVE_VALIDATION_SEED_BASES = () +CYCLE7_PUBLICLY_EXPOSED_SEED_BASES = (880_000,) CYCLE7_VALIDATION_TOPIC = "held-out evaluation" CYCLE7_STAGE_C_VALIDATION_TOPIC = "independent check" CYCLE7_CONFIRMATION_RESERVED_SEED_BASES = (830_000, 840_000, 850_000) @@ -47,6 +48,7 @@ *SPENT_DEVELOPMENT_SEED_BASES, *BLOCKED_PROFILE_SEED_BASES, *BLOCKED_HISTORIC_SEED_BASES, + *CYCLE7_PUBLICLY_EXPOSED_SEED_BASES, ) ) @@ -70,6 +72,7 @@ def cycle7_seed_ledger_payload() -> dict[str, object]: "validation_development_seed_bases": list(CYCLE7_VALIDATION_SEED_BASES), "used_validation_development_seed_bases": list(CYCLE7_USED_VALIDATION_SEED_BASES), "active_validation_development_seed_bases": list(CYCLE7_ACTIVE_VALIDATION_SEED_BASES), + "publicly_exposed_seed_bases": list(CYCLE7_PUBLICLY_EXPOSED_SEED_BASES), "validation_topic": CYCLE7_VALIDATION_TOPIC, "stage_c_validation_seed_base": CYCLE7_STAGE_C_VALIDATION_SEED_BASE, "stage_c_validation_topic": CYCLE7_STAGE_C_VALIDATION_TOPIC, @@ -85,13 +88,16 @@ def cycle7_seed_ledger_payload() -> dict[str, object]: "Seed 870000 and topic 'measurement protocol' were frozen before " "any Stage C generation or detector look. " "Seed 880000 and topic 'independent check' were frozen before " - "any Stage C validation generation or detector look." + "any Stage C validation generation or detector look. " + "Closed unmerged PR #98 later publicly generated and scored 880000. " + "Seed 880000 is PUBLICLY_EXPOSED and is not eligible as unseen validation." ), "spent_corpus_rule": ( "Do not use 720000, 730000, 760000, 770000, or 780000 as " "Cycle 7 development, tuning, or confirmation data. " "Do not keep expanding transform rules against 810000 or 860000. " "Do not retune on validation seed 820000. " + "Do not use 880000 as unseen validation. " "Do not inspect 830000, 840000, or 850000." ), } @@ -116,6 +122,8 @@ def assert_development_seed(seed_base: int, *, role: str) -> None: require_int("seed_base", seed_base) if not isinstance(role, str) or not role: raise ValueError("role must be a non-empty string") + if seed_base in CYCLE7_PUBLICLY_EXPOSED_SEED_BASES: + raise ValueError("seed_base is publicly exposed and is not eligible as unseen validation") if seed_base in _ALL_BLOCKED: raise ValueError("seed_base is spent or otherwise blocked for Cycle 7 development") expected = role_for_seed_base(seed_base) diff --git a/fuckmark/cycle8/__init__.py b/fuckmark/cycle8/__init__.py index e2a34cec..1ac4349c 100644 --- a/fuckmark/cycle8/__init__.py +++ b/fuckmark/cycle8/__init__.py @@ -3,6 +3,9 @@ CYCLE8_EXPLORATORY_SEED_BASE, CYCLE8_LEDGER_VERSION, CYCLE8_REPLICATION_SEED_BASE, + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + CYCLE8_SCALE_REPLICATION_SEED_BASE, + CYCLE8_SCALE_VALIDATION_SEED_BASE, CYCLE8_VALIDATION_SEED_BASE, assert_cycle8_development_seed, cycle8_seed_ledger_hash, @@ -39,6 +42,9 @@ "CYCLE8_FIXTURE_COMPARE_VERSION", "CYCLE8_LEDGER_VERSION", "CYCLE8_REPLICATION_SEED_BASE", + "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", + "CYCLE8_SCALE_REPLICATION_SEED_BASE", + "CYCLE8_SCALE_VALIDATION_SEED_BASE", "CYCLE8_SCOREBOARD_VERSION", "CYCLE8_VALIDATION_SEED_BASE", "EvidenceLabel", diff --git a/fuckmark/cycle8/compare.py b/fuckmark/cycle8/compare.py index 0d47e082..805ee65f 100644 --- a/fuckmark/cycle8/compare.py +++ b/fuckmark/cycle8/compare.py @@ -24,6 +24,10 @@ CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_RUN_ARM_ID, ) +CYCLE8_SCALE_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, +) CYCLE8_FIXTURE_ARM_IDS = ( *CYCLE8_DETECTOR_ARM_IDS, CYCLE8_UFE00_SPACE_ARM_ID, diff --git a/fuckmark/cycle8/decision.py b/fuckmark/cycle8/decision.py index c8239bb3..6344eebb 100644 --- a/fuckmark/cycle8/decision.py +++ b/fuckmark/cycle8/decision.py @@ -139,8 +139,79 @@ def classify_fixture_compare(report: Mapping[str, object]) -> dict[str, object]: "detector_signal": detector_signal, "notes": ( "This is Cycle 8 development classification, not confirmation. " - "Do not inspect 830000, 840000, 850000, or Cycle 7 reserved 880000. " + "Do not inspect 830000, 840000, or 850000. " + "Seed 880000 is PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. " "U+034F is not product-authorized." ), } return payload + + +CYCLE8_SCALE_DECISION_VERSION = "cycle8-scale-decision-v1" + + +def classify_scale_detector_compare(artifact: Mapping[str, object]) -> dict[str, object]: + summaries = artifact.get("summaries") + if not isinstance(summaries, Mapping): + raise ValueError("scale detector artifact must contain summaries") + identity = summaries[CYCLE8_IDENTITY_ARM_ID] + u034f = summaries[CYCLE8_U034F_SPACE_ARM_ID] + visible_total = int(u034f["visible_total_count"]) + visible_pass = int(u034f["visible_pass_count"]) + visible_failures = visible_total - visible_pass + identity_wm = int(identity["raw_watermarked_detected"]) + transformed_wm = int(u034f["raw_watermarked_detected"]) + transformed_uw = int(u034f["raw_unwatermarked_detected"]) + cf_wm = int(u034f["cf_strip_watermarked_detected"]) + nfkc_wm = int(u034f["nfkc_watermarked_detected"]) + collapse_wm = int(u034f["ws_collapse_watermarked_detected"]) + nfkc_cf_wm = int(u034f["nfkc_cf_strip_watermarked_detected"]) + combined_wm = int(u034f["ws_collapse_nfkc_cf_strip_watermarked_detected"]) + reasons: list[str] = [] + if visible_failures: + reasons.append("visible projection failed") + decision = REJECTED + label = EvidenceLabel.PRODUCT_DISQUALIFIED + gate = ProductGate.DISQUALIFIED + else: + gate = ProductGate.PASS + reasons.append("visible projection passed on all scored U+034F x1 rows") + if transformed_wm < identity_wm and transformed_uw <= int(identity["raw_unwatermarked_detected"]): + decision = PROMISING_DEVELOPMENT + label = EvidenceLabel.HYPOTHESIS + reasons.append("U+034F x1 reduced raw watermarked detections without raising unwatermarked detections") + else: + decision = INSUFFICIENT_EVIDENCE + label = EvidenceLabel.HYPOTHESIS + reasons.append("U+034F x1 did not beat identity on this scale development corpus") + if transformed_wm == 0: + reasons.append("raw transformed watermarked detections are 0 on this corpus") + if cf_wm == transformed_wm: + reasons.append("Cf-strip detections match raw transformed detections") + if nfkc_wm == transformed_wm and collapse_wm == transformed_wm: + reasons.append("NFKC and whitespace-collapse detections match raw transformed detections") + if nfkc_cf_wm == transformed_wm and combined_wm == transformed_wm: + reasons.append("combined sanitizer detections match raw transformed detections") + payload = { + "algorithm_version": CYCLE8_SCALE_DECISION_VERSION, + "decision": decision, + "product_gate": gate.value, + "evidence_label": label.value, + "visible_failures": visible_failures, + "visible_pass_rate": f"{visible_pass}/{visible_total}", + "identity_raw_watermarked_detected": identity_wm, + "u034f_raw_watermarked_detected": transformed_wm, + "u034f_raw_unwatermarked_detected": transformed_uw, + "u034f_cf_strip_watermarked_detected": cf_wm, + "u034f_nfkc_watermarked_detected": nfkc_wm, + "u034f_ws_collapse_watermarked_detected": collapse_wm, + "u034f_nfkc_cf_strip_watermarked_detected": nfkc_cf_wm, + "u034f_ws_collapse_nfkc_cf_strip_watermarked_detected": combined_wm, + "reasons": tuple(reasons), + "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." + ), + } + return payload diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 92a552d1..53c7fb01 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -4,12 +4,24 @@ from .._validation import require_int from ..hashing import sha256_json +from ..seeds.ledger import ( + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + CYCLE8_SCALE_EXPLORATORY_TOPIC, + CYCLE8_SCALE_REPLICATION_SEED_BASE, + CYCLE8_SCALE_REPLICATION_TOPIC, + CYCLE8_SCALE_VALIDATION_SEED_BASE, + CYCLE8_SCALE_VALIDATION_TOPIC, +) -CYCLE8_LEDGER_VERSION = "cycle8-seed-ledger-v1" +CYCLE8_LEDGER_VERSION = "cycle8-seed-ledger-v2" +CYCLE8_HISTORICAL_LEDGER_VERSION = "cycle8-seed-ledger-v1" CYCLE8_EXPLORATORY_ROLE = "exploratory_development" CYCLE8_REPLICATION_ROLE = "exploratory_replication" CYCLE8_VALIDATION_ROLE = "validation_development" +CYCLE8_SCALE_EXPLORATORY_ROLE = "scale_exploratory_development" +CYCLE8_SCALE_REPLICATION_ROLE = "scale_replication" +CYCLE8_SCALE_VALIDATION_ROLE = "scale_validation" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -19,10 +31,15 @@ CYCLE8_EXPLORATORY_SEED_BASES = (890_000, 920_000) CYCLE8_REPLICATION_SEED_BASES = (900_000,) CYCLE8_VALIDATION_SEED_BASES = (910_000,) +CYCLE8_SCALE_EXPLORATORY_SEED_BASES = (CYCLE8_SCALE_EXPLORATORY_SEED_BASE,) +CYCLE8_SCALE_REPLICATION_SEED_BASES = (CYCLE8_SCALE_REPLICATION_SEED_BASE,) +CYCLE8_SCALE_VALIDATION_SEED_BASES = (CYCLE8_SCALE_VALIDATION_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" CYCLE8_VALIDATION_TOPIC = "invisible carrier validation" +CYCLE8_TINY_SCORED_SEED_BASES = (890_000, 900_000, 910_000) +CYCLE8_SCALE_PAIR_COUNT = 16 INHERITED_SPENT_SEED_BASES = ( 760_000, @@ -44,17 +61,19 @@ 860_000, 870_000, ) -CYCLE7_UNSEEN_VALIDATION_SEED_BASE = 880_000 +CYCLE7_PUBLICLY_EXPOSED_VALIDATION_SEED_BASE = 880_000 -_ALL_BLOCKED = frozenset((*INHERITED_SPENT_SEED_BASES, CYCLE7_UNSEEN_VALIDATION_SEED_BASE)) +_ALL_BLOCKED = frozenset((*INHERITED_SPENT_SEED_BASES, CYCLE7_PUBLICLY_EXPOSED_VALIDATION_SEED_BASE)) def cycle8_seed_ledger_payload() -> dict[str, object]: return { "algorithm_version": CYCLE8_LEDGER_VERSION, "generation": "cycle8_exact_visible_projection", + "historical_ledger_version": CYCLE8_HISTORICAL_LEDGER_VERSION, "inherited_spent_seed_bases": list(INHERITED_SPENT_SEED_BASES), - "cycle7_unseen_validation_seed_base": CYCLE7_UNSEEN_VALIDATION_SEED_BASE, + "cycle7_publicly_exposed_validation_seed_base": CYCLE7_PUBLICLY_EXPOSED_VALIDATION_SEED_BASE, + "tiny_scored_seed_bases": list(CYCLE8_TINY_SCORED_SEED_BASES), "exploratory_development_seed_base": CYCLE8_EXPLORATORY_SEED_BASE, "exploratory_development_seed_bases": list(CYCLE8_EXPLORATORY_SEED_BASES), "exploratory_topic": CYCLE8_EXPLORATORY_TOPIC, @@ -63,12 +82,23 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "validation_development_seed_base": CYCLE8_VALIDATION_SEED_BASE, "validation_topic": CYCLE8_VALIDATION_TOPIC, "secondary_exploratory_seed_base": CYCLE8_SECONDARY_EXPLORATORY_SEED_BASE, + "scale_exploratory_seed_base": CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + "scale_exploratory_topic": CYCLE8_SCALE_EXPLORATORY_TOPIC, + "scale_replication_seed_base": CYCLE8_SCALE_REPLICATION_SEED_BASE, + "scale_replication_topic": CYCLE8_SCALE_REPLICATION_TOPIC, + "scale_validation_seed_base": CYCLE8_SCALE_VALIDATION_SEED_BASE, + "scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, + "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT, "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES), "selection_rule": ( "Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before " - "any Cycle 8 text generation or detector look. Do not inspect 830000, " - "840000, or 850000. Do not inspect Cycle 7 reserved validation seed " - "880000 from Cycle 8. Do not retune on Cycle 6 formal residuals." + "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. " + "Do not inspect 830000, 840000, or 850000. Do not generate 950000 until " + "the U+034F x1 mechanism is frozen. Do not retune on Cycle 6 formal residuals." ), } @@ -85,6 +115,12 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_REPLICATION_ROLE if seed_base in CYCLE8_VALIDATION_SEED_BASES: return CYCLE8_VALIDATION_ROLE + if seed_base in CYCLE8_SCALE_EXPLORATORY_SEED_BASES: + return CYCLE8_SCALE_EXPLORATORY_ROLE + if seed_base in CYCLE8_SCALE_REPLICATION_SEED_BASES: + return CYCLE8_SCALE_REPLICATION_ROLE + if seed_base in CYCLE8_SCALE_VALIDATION_SEED_BASES: + return CYCLE8_SCALE_VALIDATION_ROLE if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -98,6 +134,8 @@ 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 == 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) if expected is None: raise ValueError("seed_base is not in the Cycle 8 ledger") @@ -110,5 +148,8 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_EXPLORATORY_ROLE: CYCLE8_EXPLORATORY_SEED_BASES, CYCLE8_REPLICATION_ROLE: CYCLE8_REPLICATION_SEED_BASES, CYCLE8_VALIDATION_ROLE: CYCLE8_VALIDATION_SEED_BASES, + CYCLE8_SCALE_EXPLORATORY_ROLE: CYCLE8_SCALE_EXPLORATORY_SEED_BASES, + CYCLE8_SCALE_REPLICATION_ROLE: CYCLE8_SCALE_REPLICATION_SEED_BASES, + CYCLE8_SCALE_VALIDATION_ROLE: CYCLE8_SCALE_VALIDATION_SEED_BASES, CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8/sanitize.py b/fuckmark/cycle8/sanitize.py new file mode 100644 index 00000000..18fb66b0 --- /dev/null +++ b/fuckmark/cycle8/sanitize.py @@ -0,0 +1,18 @@ +from __future__ import annotations + +import unicodedata + +from .._validation import require_clean_string +from ..cycle7.whitespace_collapse import CYCLE7_SANITIZER_VARIANT_IDS, sanitize_cycle7_variant + + +CYCLE8_SCALE_SANITIZER_VARIANT_IDS = (*CYCLE7_SANITIZER_VARIANT_IDS, "nfc") + + +def sanitize_cycle8_scale_variant(variant_id: str, text: str) -> str: + require_clean_string("variant_id", variant_id) + if not isinstance(text, str): + raise TypeError("text must be a string") + if variant_id == "nfc": + return unicodedata.normalize("NFC", text) + return sanitize_cycle7_variant(variant_id, text) diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index eb04ee28..14bd73d0 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -22,6 +22,12 @@ CYCLE8_EXPLORATORY_TOPIC, CYCLE8_REPLICATION_ROLE, CYCLE8_REPLICATION_TOPIC, + CYCLE8_SCALE_EXPLORATORY_ROLE, + CYCLE8_SCALE_EXPLORATORY_TOPIC, + CYCLE8_SCALE_REPLICATION_ROLE, + CYCLE8_SCALE_REPLICATION_TOPIC, + CYCLE8_SCALE_VALIDATION_ROLE, + CYCLE8_SCALE_VALIDATION_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -68,6 +74,19 @@ def _count(selected, variant, field): def _mean(selected, variant): return sum(float(row["sanitizers"][variant]["score"]) for row in selected) / len(selected) + def _score_stats(selected, variant): + values = tuple(float(row["sanitizers"][variant]["score"]) for row in selected) + ordered = tuple(sorted(values)) + mid = len(ordered) // 2 + median = ordered[mid] if len(ordered) % 2 else (ordered[mid - 1] + ordered[mid]) / 2 + return { + "mean": sum(values) / len(values), + "median": median, + "min": ordered[0], + "max": ordered[-1], + } + + raw_wm = _score_stats(watermarked, "raw") if watermarked else {"mean": None, "median": None, "min": None, "max": None} return { "arm_id": arm_id, "watermarked_row_count": len(watermarked), @@ -80,10 +99,30 @@ def _mean(selected, variant): "ws_collapse_unwatermarked_detected": _count(unwatermarked, "ws_collapse", "detected"), "cf_strip_watermarked_detected": _count(watermarked, "cf_strip", "detected"), "nfkc_watermarked_detected": _count(watermarked, "nfkc", "detected"), - "raw_watermarked_mean_score": _mean(watermarked, "raw"), - "ws_collapse_watermarked_mean_score": _mean(watermarked, "ws_collapse"), + "nfkc_cf_strip_watermarked_detected": _count(watermarked, "nfkc_cf_strip", "detected"), + "ws_collapse_nfkc_cf_strip_watermarked_detected": _count(watermarked, "ws_collapse_nfkc_cf_strip", "detected"), + "nfc_watermarked_detected": ( + _count(watermarked, "nfc", "detected") if watermarked and "nfc" in watermarked[0]["sanitizers"] else None + ), + "raw_watermarked_mean_score": raw_wm["mean"], + "raw_watermarked_median_score": raw_wm["median"], + "raw_watermarked_min_score": raw_wm["min"], + "raw_watermarked_max_score": raw_wm["max"], + "ws_collapse_watermarked_mean_score": _mean(watermarked, "ws_collapse") if watermarked else None, "visible_pass_count": sum(bool(row["geometry"]["visible_ok"]) for row in (*watermarked, *unwatermarked)), "visible_total_count": len(watermarked) + len(unwatermarked), + "inserted_count_mean": ( + sum(int(row["geometry"]["inserted_count"]) for row in (*watermarked, *unwatermarked)) + / (len(watermarked) + len(unwatermarked)) + if watermarked or unwatermarked + else 0 + ), + "utf8_overhead_mean": ( + sum(int(row["geometry"]["utf8_overhead"]) for row in (*watermarked, *unwatermarked)) + / (len(watermarked) + len(unwatermarked)) + if watermarked or unwatermarked + else 0 + ), } @@ -95,17 +134,37 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_REPLICATION_TOPIC if role == CYCLE8_VALIDATION_ROLE: return CYCLE8_VALIDATION_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, or validation seeds") + if role == CYCLE8_SCALE_EXPLORATORY_ROLE: + return CYCLE8_SCALE_EXPLORATORY_TOPIC + if role == CYCLE8_SCALE_REPLICATION_ROLE: + return CYCLE8_SCALE_REPLICATION_TOPIC + if role == CYCLE8_SCALE_VALIDATION_ROLE: + return CYCLE8_SCALE_VALIDATION_TOPIC + raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, or scale seeds") -def _generate_cycle8_samples(backend: Any, seed_base: int, max_attempts: int) -> tuple[dict[str, object], ...]: +def _generate_cycle8_samples( + backend: Any, + seed_base: int, + max_attempts: int, + *, + pair_count: int | None = None, +) -> 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") assert_cycle8_development_seed(seed_base, role=role) topic = _topic_for_seed(seed_base) + domains = tuple(CorpusDomain) + if pair_count is None: + pair_count = len(domains) + if not isinstance(pair_count, int) or isinstance(pair_count, bool) or pair_count <= 0: + raise ValueError("pair_count must be a positive integer") + if pair_count % len(domains) != 0: + raise ValueError("pair_count must be a multiple of the Cycle 8 domain count") samples: list[dict[str, object]] = [] - for pair_index, domain in enumerate(CorpusDomain): + 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 @@ -132,13 +191,16 @@ def _generate_cycle8_samples(backend: Any, seed_base: int, max_attempts: int) -> accepted = (seed, control, watermarked) break if accepted is None: - raise RuntimeError(f"Cycle 8 failed to generate an ASCII pair for {domain.value}") + raise RuntimeError(f"Cycle 8 failed to generate an ASCII pair for {domain.value} pair {pair_index}") seed, control, watermarked = accepted for label, generated in ( (WatermarkLabel.UNWATERMARKED, control), (WatermarkLabel.WATERMARKED, watermarked), ): - sample_id = f"cycle8-{seed_base}-{domain.value}-{label.value}" + if pair_count == len(domains): + sample_id = f"cycle8-{seed_base}-{domain.value}-{label.value}" + else: + sample_id = f"cycle8-{seed_base}-{pair_index:02d}-{domain.value}-{label.value}" samples.append( { "sample_id": sample_id, @@ -146,6 +208,7 @@ def _generate_cycle8_samples(backend: Any, seed_base: int, max_attempts: int) -> "label": label.value, "prompt": prompt, "seed": seed, + "pair_index": pair_index, "text": generated.text, "text_sha256": sha256_text(generated.text), "text_only_token_ids": generated.text_only_token_ids, @@ -159,6 +222,10 @@ def _evaluate_samples( tokenizer: Any, adapter: Any, eos: int, + *, + arm_ids: tuple[str, ...] = CYCLE8_DETECTOR_ARM_IDS, + sanitizer_ids: tuple[str, ...] = CYCLE7_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle7_variant, ) -> tuple[tuple[dict[str, object], ...], tuple[dict[str, object], ...], dict[str, object]]: from .cycle7_stage_a_hf import _score_text from .tiny_dev_transform_hf import _encode_text @@ -170,7 +237,7 @@ def encoder(text: str) -> tuple[int, ...]: geometry_rows: list[dict[str, object]] = [] for sample in samples: measurements = {} - for arm_id in CYCLE8_DETECTOR_ARM_IDS: + for arm_id in arm_ids: measurements[arm_id] = measure_carrier_arm( arm_id=arm_id, source_sample_id=str(sample["sample_id"]), @@ -194,8 +261,8 @@ def encoder(text: str) -> tuple[int, ...]: ) for arm_id, measurement in measurements.items(): sanitizers = {} - for variant in CYCLE7_SANITIZER_VARIANT_IDS: - text = sanitize_cycle7_variant(variant, str(measurement["transformed_text"])) + for variant in sanitizer_ids: + text = sanitize(variant, str(measurement["transformed_text"])) score = _score_text( f"{sample['sample_id']}-{arm_id}-{variant}", text, @@ -208,6 +275,7 @@ def encoder(text: str) -> tuple[int, ...]: "score": score, "detected": score >= CYCLE6_THRESHOLD, "equals_source": text == str(sample["text"]), + "equals_transformed": text == str(measurement["transformed_text"]), } scored_rows.append( { @@ -221,9 +289,7 @@ def encoder(text: str) -> tuple[int, ...]: "sanitizers": sanitizers, } ) - summaries = { - arm_id: _detector_arm_summary(tuple(scored_rows), arm_id) for arm_id in CYCLE8_DETECTOR_ARM_IDS - } + summaries = {arm_id: _detector_arm_summary(tuple(scored_rows), arm_id) for arm_id in arm_ids} return tuple(geometry_rows), tuple(scored_rows), summaries @@ -234,20 +300,25 @@ def _build_detector_artifact( summaries: dict[str, object], *, seed_base: int, + algorithm_version: str = CYCLE8_DETECTOR_VERSION, + arm_ids: tuple[str, ...] = CYCLE8_DETECTOR_ARM_IDS, + sanitizer_ids: tuple[str, ...] = CYCLE7_SANITIZER_VARIANT_IDS, + pair_count: int | None = None, ) -> dict[str, object]: from .tiny_dev_context_survival_plan_hf import DEFAULT_MODEL_ID, DEFAULT_MODEL_REVISION visible_pass = sum(int(summary["visible_pass_count"]) for summary in summaries.values()) visible_total = sum(int(summary["visible_total_count"]) for summary in summaries.values()) artifact = { - "algorithm_version": CYCLE8_DETECTOR_VERSION, + "algorithm_version": algorithm_version, "seed_base": seed_base, "topic": _topic_for_seed(seed_base), + "pair_count": pair_count if pair_count is not None else len({sample["sample_id"] for sample in samples}) // 2, "model": DEFAULT_MODEL_ID, "model_revision": DEFAULT_MODEL_REVISION, "threshold": CYCLE6_THRESHOLD, - "sanitizer_ids": CYCLE7_SANITIZER_VARIANT_IDS, - "arm_ids": CYCLE8_DETECTOR_ARM_IDS, + "sanitizer_ids": sanitizer_ids, + "arm_ids": arm_ids, "visible_pass_rate": f"{visible_pass}/{visible_total}", "samples": tuple( { @@ -255,6 +326,7 @@ def _build_detector_artifact( "domain": sample["domain"], "label": sample["label"], "seed": sample["seed"], + "pair_index": sample.get("pair_index"), "text": sample["text"], "text_sha256": sample["text_sha256"], } @@ -274,6 +346,11 @@ def run_cycle8_detector_compare( device: str = "cpu", max_attempts: int = CYCLE8_MAX_ATTEMPTS, seed_base: int = CYCLE8_EXPLORATORY_SEED_BASE, + pair_count: int | None = None, + arm_ids: tuple[str, ...] = CYCLE8_DETECTOR_ARM_IDS, + sanitizer_ids: tuple[str, ...] = CYCLE7_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle7_variant, + algorithm_version: str = CYCLE8_DETECTOR_VERSION, ) -> dict[str, object]: from .cycle7_stage_a_hf import _adapter_and_tokenizer @@ -282,9 +359,27 @@ def run_cycle8_detector_compare( raise ValueError("seed_base is not in the Cycle 8 ledger") assert_cycle8_development_seed(seed_base, role=role) backend, tokenizer, adapter, _identity_hash, eos = _adapter_and_tokenizer(device) - samples = _generate_cycle8_samples(backend, seed_base, max_attempts) - geometry_rows, scored_rows, summaries = _evaluate_samples(samples, tokenizer, adapter, eos) - return _build_detector_artifact(samples, geometry_rows, scored_rows, summaries, seed_base=seed_base) + samples = _generate_cycle8_samples(backend, seed_base, max_attempts, pair_count=pair_count) + geometry_rows, scored_rows, summaries = _evaluate_samples( + samples, + tokenizer, + adapter, + eos, + arm_ids=arm_ids, + sanitizer_ids=sanitizer_ids, + sanitize=sanitize, + ) + return _build_detector_artifact( + samples, + geometry_rows, + scored_rows, + summaries, + seed_base=seed_base, + algorithm_version=algorithm_version, + arm_ids=arm_ids, + sanitizer_ids=sanitizer_ids, + pair_count=pair_count, + ) def rescore_cycle8_detector_compare(previous: dict[str, object], *, device: str = "cpu") -> dict[str, object]: @@ -297,8 +392,27 @@ def rescore_cycle8_detector_compare(previous: dict[str, object], *, device: str assert_cycle8_development_seed(seed_base, role=role) _backend, tokenizer, adapter, _identity_hash, eos = _adapter_and_tokenizer(device) samples = tuple(previous["samples"]) - geometry_rows, scored_rows, summaries = _evaluate_samples(samples, tokenizer, adapter, eos) - return _build_detector_artifact(samples, geometry_rows, scored_rows, summaries, seed_base=seed_base) + arm_ids = tuple(previous.get("arm_ids") or CYCLE8_DETECTOR_ARM_IDS) + sanitizer_ids = tuple(previous.get("sanitizer_ids") or CYCLE7_SANITIZER_VARIANT_IDS) + geometry_rows, scored_rows, summaries = _evaluate_samples( + samples, + tokenizer, + adapter, + eos, + arm_ids=arm_ids, + sanitizer_ids=sanitizer_ids, + ) + return _build_detector_artifact( + samples, + geometry_rows, + scored_rows, + summaries, + seed_base=seed_base, + algorithm_version=str(previous.get("algorithm_version") or CYCLE8_DETECTOR_VERSION), + arm_ids=arm_ids, + sanitizer_ids=sanitizer_ids, + pair_count=previous.get("pair_count"), + ) def main(argv: list[str] | None = None) -> int: diff --git a/fuckmark/cycle8_scale_hf.py b/fuckmark/cycle8_scale_hf.py new file mode 100644 index 00000000..931c979b --- /dev/null +++ b/fuckmark/cycle8_scale_hf.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_SCALE_ARM_IDS +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_PAIR_COUNT +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_scale_generation_seed + + +CYCLE8_SCALE_DETECTOR_VERSION = "cycle8-scale-detector-compare-v1" + + +def run_cycle8_scale_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + pair_count: int = CYCLE8_SCALE_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_scale_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=CYCLE8_SCALE_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_SCALE_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-scale-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_SCALE_EXPLORATORY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_SCALE_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) + assert_new_cycle8_scale_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path(f"evidence/cycle8-scale-{args.seed_base}-2026-08-26/detector-compare.json") + detector = run_cycle8_scale_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) + write_canonical_json_fsynced(args.detector_json.parent / "decision.json", decision) + print(canonical_json_text(decision)) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/fuckmark/product/roundtrip.py b/fuckmark/product/roundtrip.py new file mode 100644 index 00000000..bdcd10a0 --- /dev/null +++ b/fuckmark/product/roundtrip.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import io +import unicodedata + +from ..hashing import sha256_json, sha256_text +from .visible_projection import is_carrier_insertion_v1, project_visible_v1 + + +ROUNDTRIP_HARNESS_VERSION = "product-text-roundtrip-v1" + + +def nfc_normalize(text: str) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + return unicodedata.normalize("NFC", text) + + +def display_column_width(text: str) -> int: + if not isinstance(text, str): + raise TypeError("text must be a string") + width = 0 + for character in text: + if unicodedata.category(character) in {"Mn", "Me", "Cf"}: + continue + if character in {"\n", "\r"}: + continue + width += 1 + return width + + +def utf8_file_roundtrip(text: str) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + encoded = text.encode("utf-8") + return encoded.decode("utf-8") + + +def stdin_stdout_roundtrip(text: str) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + buffer = io.StringIO() + buffer.write(text) + return buffer.getvalue() + + +def latin1_roundtrip_survives(text: str) -> bool: + if not isinstance(text, str): + raise TypeError("text must be a string") + try: + return text.encode("latin-1").decode("latin-1") == text + except UnicodeEncodeError: + return False + + +def roundtrip_report(original: str, transformed: str, approved_carriers: tuple[int, ...]) -> dict[str, object]: + if not isinstance(original, str) or not isinstance(transformed, str): + raise TypeError("original and transformed must be strings") + utf8 = utf8_file_roundtrip(transformed) + stdout = stdin_stdout_roundtrip(transformed) + nfc = nfc_normalize(transformed) + payload = { + "algorithm_version": ROUNDTRIP_HARNESS_VERSION, + "original_sha256": sha256_text(original), + "transformed_sha256": sha256_text(transformed), + "visible_ok": is_carrier_insertion_v1(original, transformed, approved_carriers), + "projected_equals_source": project_visible_v1(transformed, approved_carriers) == original, + "utf8_roundtrip_equals_transformed": utf8 == transformed, + "stdin_stdout_equals_transformed": stdout == transformed, + "nfc_equals_transformed": nfc == transformed, + "latin1_roundtrip_survives": latin1_roundtrip_survives(transformed), + "display_column_width_equal": display_column_width(original) == display_column_width(transformed), + "newline_count_equal": original.count("\n") == transformed.count("\n"), + "ascii_space_count_equal": original.count(" ") == transformed.count(" "), + } + return {**payload, "report_hash": sha256_json(payload)} diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py new file mode 100644 index 00000000..46993c58 --- /dev/null +++ b/fuckmark/seeds/__init__.py @@ -0,0 +1,35 @@ +from .ledger import ( + CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + CYCLE8_SCALE_EXPLORATORY_TOPIC, + CYCLE8_SCALE_REPLICATION_SEED_BASE, + CYCLE8_SCALE_REPLICATION_TOPIC, + CYCLE8_SCALE_VALIDATION_SEED_BASE, + CYCLE8_SCALE_VALIDATION_TOPIC, + GLOBAL_SEED_LEDGER_VERSION, + PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, + assert_new_cycle8_scale_generation_seed, + assert_seed_not_confirmation_content, + global_seed_ledger_hash, + global_seed_ledger_payload, + known_seed_bases, + row_for_seed_base, +) + +__all__ = [ + "CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES", + "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", + "CYCLE8_SCALE_EXPLORATORY_TOPIC", + "CYCLE8_SCALE_REPLICATION_SEED_BASE", + "CYCLE8_SCALE_REPLICATION_TOPIC", + "CYCLE8_SCALE_VALIDATION_SEED_BASE", + "CYCLE8_SCALE_VALIDATION_TOPIC", + "GLOBAL_SEED_LEDGER_VERSION", + "PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES", + "assert_new_cycle8_scale_generation_seed", + "assert_seed_not_confirmation_content", + "global_seed_ledger_hash", + "global_seed_ledger_payload", + "known_seed_bases", + "row_for_seed_base", +] diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py new file mode 100644 index 00000000..fea5f5e5 --- /dev/null +++ b/fuckmark/seeds/ledger.py @@ -0,0 +1,158 @@ +from __future__ import annotations + +from collections.abc import Mapping, Sequence + +from .._validation import require_int +from ..hashing import sha256_json + + +GLOBAL_SEED_LEDGER_VERSION = "global-seed-ledger-v1" +GLOBAL_SEED_LEDGER_PATH = "specs/fuckmark-global-seed-ledger-v1.json" + +CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES = (830_000, 840_000, 850_000) +PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES = (880_000,) +CYCLE8_SCALE_EXPLORATORY_SEED_BASE = 930_000 +CYCLE8_SCALE_REPLICATION_SEED_BASE = 940_000 +CYCLE8_SCALE_VALIDATION_SEED_BASE = 950_000 +CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling" +CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" +CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" + + +def _row( + seed_base: int, + cycle: str, + role: str, + topic: str, + first_reservation: str, + *, + generated: bool, + scored: bool, + publicly_exposed: bool, + spent: bool, + eligible_for_confirmation: bool, + eligible_as_unseen_validation: bool, + notes: str, +) -> dict[str, object]: + require_int("seed_base", seed_base) + return { + "seed_base": seed_base, + "cycle": cycle, + "role": role, + "generation_topic": topic, + "first_reservation": first_reservation, + "generated": generated, + "scored": scored, + "publicly_exposed": publicly_exposed, + "spent": spent, + "eligible_for_confirmation": eligible_for_confirmation, + "eligible_as_unseen_validation": eligible_as_unseen_validation, + "notes": notes, + } + + +def global_seed_rows() -> tuple[dict[str, object], ...]: + rows = ( + _row(61000, "tiny_dev", "schedule", "historic schedule", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Historic TinyDev schedule base."), + _row(401000, "tiny_dev", "attack_development", "historic tiny-dev", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Historic TinyDev canonical attack base."), + _row(402000, "tiny_dev", "historic", "historic tiny-dev", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Historic TinyDev base."), + _row(410000, "tiny_dev", "attack_development", "tiny-dev-v3", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Budget-scaled coverage tiny-dev-v3 base."), + _row(420000, "tiny_dev", "historic", "coverage", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Coverage-effectiveness seed."), + _row(430000, "tiny_dev", "historic", "coverage", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Coverage-completion seed."), + _row(440000, "tiny_dev", "historic", "coverage", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Coverage-completion seed."), + _row(500000, "calibration", "threshold_calibration", "historic calibration", "historic", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Historic calibration base."), + _row(530000, "cycle4", "confirmation", "exact survival", "cycle4", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 4 confirmation corpus. Spent."), + _row(540000, "cycle4", "confirmation", "exact survival", "cycle4", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 4 confirmation corpus. Spent."), + _row(550000, "cycle4", "confirmation", "exact survival", "cycle4", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 4 confirmation corpus. Spent."), + _row(720000, "cycle6", "development", "cycle6 development", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 development 0/16. Spent."), + _row(730000, "cycle6", "development", "cycle6 development", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 development. Spent."), + _row(760000, "cycle6", "confirmation", "cycle6 formal", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals."), + _row(770000, "cycle6", "confirmation", "cycle6 formal", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 formal confirmation 2/64. Spent. Do not retune on residuals."), + _row(780000, "cycle6", "confirmation", "cycle6 formal", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals."), + _row(810000, "cycle7", "exploratory_development", "reproducibility", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage A. Do not keep expanding rules against it."), + _row(820000, "cycle7", "validation_development", "held-out evaluation", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B3 validation. Spent. Do not retune."), + _row(830000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), + _row(840000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), + _row(850000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), + _row(860000, "cycle7", "exploratory_development", "independent replication", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B1. Do not keep expanding rules against it."), + _row(870000, "cycle7", "exploratory_development", "measurement protocol", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage C1. Spent for new rule construction."), + _row(880000, "cycle7", "validation_development", "independent check", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), + _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(930000, "cycle8", "scale_exploratory_development", CYCLE8_SCALE_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before any Cycle 8 scale generation. First large U+034F x1 development corpus."), + _row(940000, "cycle8", "scale_replication", CYCLE8_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent large-N replication after 930000."), + _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."), + _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."), + _row(1150000, "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(1160000, "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."), + ) + bases = tuple(int(row["seed_base"]) for row in rows) + if len(bases) != len(set(bases)): + raise ValueError("global seed ledger contains duplicate seed bases") + return rows + + +def global_seed_ledger_payload() -> dict[str, object]: + rows = global_seed_rows() + return { + "algorithm_version": GLOBAL_SEED_LEDGER_VERSION, + "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. Do not inspect 830000, 840000, or " + "850000. Do not generate 950000 until the U+034F x1 mechanism is frozen." + ), + "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), + "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), + "cycle8_scale_exploratory_seed_base": CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + "cycle8_scale_exploratory_topic": CYCLE8_SCALE_EXPLORATORY_TOPIC, + "cycle8_scale_replication_seed_base": CYCLE8_SCALE_REPLICATION_SEED_BASE, + "cycle8_scale_replication_topic": CYCLE8_SCALE_REPLICATION_TOPIC, + "cycle8_scale_validation_seed_base": CYCLE8_SCALE_VALIDATION_SEED_BASE, + "cycle8_scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, + "rows": list(rows), + } + + +def global_seed_ledger_hash() -> str: + return sha256_json(global_seed_ledger_payload()) + + +def row_for_seed_base(seed_base: int) -> dict[str, object]: + require_int("seed_base", seed_base) + for row in global_seed_rows(): + if int(row["seed_base"]) == seed_base: + return row + raise ValueError("seed_base is not in the global seed ledger") + + +def assert_seed_not_confirmation_content(seed_base: int) -> None: + require_int("seed_base", seed_base) + if seed_base in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: + raise ValueError("confirmation-reserved seed content must not be inspected") + + +def assert_new_cycle8_scale_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_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_REPLICATION_SEED_BASE}: + raise ValueError("seed_base is not a Cycle 8 scale 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 and seed_base != CYCLE8_SCALE_VALIDATION_SEED_BASE: + 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()) + + +def ledger_index() -> Mapping[int, dict[str, object]]: + return {int(row["seed_base"]): row for row in global_seed_rows()} diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json new file mode 100644 index 00000000..49906e31 --- /dev/null +++ b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-seed-ledger-v2","confirmation_reserved_seed_bases":[830000,840000,850000],"cycle7_publicly_exposed_validation_seed_base":880000,"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":"f76c08c325d2ba59856cef49b6e92768f424cecf4f6fb307b45048e153039573","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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. 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 new file mode 100644 index 00000000..e92b4f65 --- /dev/null +++ b/specs/fuckmark-global-seed-ledger-v1.json @@ -0,0 +1 @@ +{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"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":"d9e848d122dd97ef6af7ffaae12fa48d789acec4e4b665fecacac3bbbb2f5706","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":false,"generation_topic":"carrier scaling","notes":"Reserved before any Cycle 8 scale generation. First large U+034F x1 development corpus.","publicly_exposed":false,"role":"scale_exploratory_development","scored":false,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent large-N replication after 930000.","publicly_exposed":false,"role":"scale_replication","scored":false,"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} diff --git a/tests/test_cycle7_ledger.py b/tests/test_cycle7_ledger.py index 0d7ed67b..f03a1365 100644 --- a/tests/test_cycle7_ledger.py +++ b/tests/test_cycle7_ledger.py @@ -23,7 +23,7 @@ def test_spent_and_reserved_seeds_are_disjoint_and_documented() -> None: assert tuple(payload["spent_confirmation_seed_bases"]) == SPENT_CONFIRMATION_SEED_BASES assert SPENT_CONFIRMATION_SEED_BASES == (760000, 770000, 780000) assert SPENT_DEVELOPMENT_SEED_BASES == (720000, 730000) - assert CYCLE7_LEDGER_VERSION == "cycle7-seed-ledger-v3" + assert CYCLE7_LEDGER_VERSION == "cycle7-seed-ledger-v4" assert CYCLE7_EXPLORATORY_SEED_BASE == 810000 assert CYCLE7_EXPLORATORY_SEED_BASES == (810000, 860000, 870000) assert CYCLE7_USED_EXPLORATORY_SEED_BASES == (810000, 860000) @@ -41,8 +41,10 @@ def test_spent_and_reserved_seeds_are_disjoint_and_documented() -> None: assert len(blocked) == 10 assert 860000 not in blocked assert 870000 not in blocked - assert 880000 not in blocked assert 830000 in blocked + assert cycle7_seed_ledger_payload()["publicly_exposed_seed_bases"] == [880000] + with pytest.raises(ValueError, match="publicly exposed"): + assert_development_seed(880000, role="validation_development") assert cycle7_seed_ledger_hash() == cycle7_seed_ledger_hash() diff --git a/tests/test_cycle7_stage_b.py b/tests/test_cycle7_stage_b.py index 02352c72..3ff6205d 100644 --- a/tests/test_cycle7_stage_b.py +++ b/tests/test_cycle7_stage_b.py @@ -36,7 +36,7 @@ def test_stage_b_catalog_and_ledger_identities() -> None: assert CYCLE7_DURABLE_RULE_CATALOG_VERSION == "cycle7-durable-rule-catalog-v4" assert CYCLE7_DURABLE_REGISTRY_ID == "cycle7-durable-catalog-v4" assert CYCLE7_COMBINED_REGISTRY_ID == "cycle7-durable-plus-cycle6-spacing-v3" - assert CYCLE7_LEDGER_VERSION == "cycle7-seed-ledger-v3" + assert CYCLE7_LEDGER_VERSION == "cycle7-seed-ledger-v4" assert CYCLE7_STAGE_B1_EXPLORATORY_SEED_BASE == 860000 assert CYCLE7_STAGE_B1_TOPIC == "independent replication" assert CYCLE7_VALIDATION_TOPIC == "held-out evaluation" @@ -48,8 +48,9 @@ def test_stage_b_catalog_and_ledger_identities() -> None: assert payload["stage_c1_exploratory_seed_base"] == 870000 assert payload["stage_c1_topic"] == "measurement protocol" assert payload["validation_topic"] == "held-out evaluation" - assert payload["used_validation_development_seed_bases"] == [820000] - assert payload["active_validation_development_seed_bases"] == [880000] + assert payload["used_validation_development_seed_bases"] == [820000, 880000] + assert payload["active_validation_development_seed_bases"] == [] + assert payload["publicly_exposed_seed_bases"] == [880000] def test_rule_construction_admits_870000_and_blocks_spent_or_reserved_seeds() -> None: @@ -71,7 +72,7 @@ def test_rule_construction_admits_870000_and_blocks_spent_or_reserved_seeds() -> assert_rule_construction_seed(850000) with pytest.raises(ValueError, match="exploratory"): assert_development_seed(CYCLE7_VALIDATION_SEED_BASE, role=CYCLE7_EXPLORATORY_ROLE) - with pytest.raises(ValueError, match="exploratory"): + with pytest.raises(ValueError, match="publicly exposed"): assert_development_seed(880000, role=CYCLE7_EXPLORATORY_ROLE) with pytest.raises(ValueError, match="spent"): assert_rule_construction_seed(760000) diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index 051654b3..6c94bc18 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -6,7 +6,10 @@ from fuckmark.cycle7.whitespace_collapse import collapse_horizontal_ascii_whitespace from fuckmark.cycle8.ledger import ( CYCLE8_EXPLORATORY_SEED_BASE, + CYCLE8_HISTORICAL_LEDGER_VERSION, + CYCLE8_LEDGER_VERSION, CYCLE8_REPLICATION_SEED_BASE, + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_VALIDATION_SEED_BASE, assert_cycle8_development_seed, cycle8_seed_ledger_hash, @@ -24,12 +27,21 @@ from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters -def test_cycle8_ledger_file_matches_embedded_payload() -> None: +def test_cycle8_historical_v1_ledger_file_remains_frozen() -> None: path = Path(__file__).resolve().parents[1] / "specs" / "cycle8" / "fuckmark-cycle8-seed-ledger-v1.json" disk = json.loads(path.read_text(encoding="utf-8")) + assert disk["algorithm_version"] == CYCLE8_HISTORICAL_LEDGER_VERSION == "cycle8-seed-ledger-v1" + assert disk["cycle7_unseen_validation_seed_base"] == 880000 + assert disk["ledger_hash"] == "dbf551dde1e3b41c7bb3daac4f6c5b242c4e0be1ecc726c571091e9b2e25b0cc" + + +def test_cycle8_ledger_file_matches_embedded_payload() -> None: + path = Path(__file__).resolve().parents[1] / "specs" / "cycle8" / "fuckmark-cycle8-seed-ledger-v2.json" + disk = json.loads(path.read_text(encoding="utf-8")) payload = {key: value for key, value in disk.items() if key != "ledger_hash"} assert payload == cycle8_seed_ledger_payload() assert disk["ledger_hash"] == cycle8_seed_ledger_hash() == sha256_json(payload) + assert payload["algorithm_version"] == CYCLE8_LEDGER_VERSION == "cycle8-seed-ledger-v2" def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: @@ -37,16 +49,20 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["exploratory_development_seed_base"] == CYCLE8_EXPLORATORY_SEED_BASE == 890_000 assert payload["exploratory_replication_seed_base"] == CYCLE8_REPLICATION_SEED_BASE == 900_000 assert payload["validation_development_seed_base"] == CYCLE8_VALIDATION_SEED_BASE == 910_000 + assert payload["scale_exploratory_seed_base"] == CYCLE8_SCALE_EXPLORATORY_SEED_BASE == 930_000 assert payload["confirmation_reserved_seed_bases"] == [830_000, 840_000, 850_000] - assert payload["cycle7_unseen_validation_seed_base"] == 880_000 + assert payload["cycle7_publicly_exposed_validation_seed_base"] == 880_000 assert cycle8_seed_ledger_hash() assert_cycle8_development_seed(890_000, role="exploratory_development") + assert_cycle8_development_seed(930_000, role="scale_exploratory_development") with pytest.raises(ValueError): assert_cycle8_development_seed(760_000, role="exploratory_development") - with pytest.raises(ValueError): + with pytest.raises(ValueError, match="publicly exposed|spent or reserved"): assert_cycle8_development_seed(880_000, role="validation_development") with pytest.raises(ValueError): assert_cycle8_development_seed(830_000, role="exploratory_development") + with pytest.raises(ValueError, match="frozen"): + assert_cycle8_development_seed(950_000, role="scale_validation") def test_u200c_is_diagnostic_cf_and_not_durable() -> None: diff --git a/tests/test_cycle8_scale.py b/tests/test_cycle8_scale.py new file mode 100644 index 00000000..980626af --- /dev/null +++ b/tests/test_cycle8_scale.py @@ -0,0 +1,45 @@ +import pytest + +from fuckmark.cycle8.compare import CYCLE8_IDENTITY_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID +from fuckmark.cycle8.decision import PROMISING_DEVELOPMENT, classify_scale_detector_compare +from fuckmark.cycle8.ledger import CYCLE8_SCALE_PAIR_COUNT +from fuckmark.seeds.ledger import ( + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + assert_new_cycle8_scale_generation_seed, +) + + +def test_scale_pair_count_and_seed_are_frozen_before_generation() -> None: + assert CYCLE8_SCALE_PAIR_COUNT == 16 + assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_scale_generation_seed(830000) + + +def test_classify_scale_detector_compare_marks_zero_raw_as_promising() -> None: + artifact = { + "summaries": { + CYCLE8_IDENTITY_ARM_ID: { + "raw_watermarked_detected": 12, + "raw_unwatermarked_detected": 0, + "visible_pass_count": 32, + "visible_total_count": 32, + }, + CYCLE8_U034F_SPACE_ARM_ID: { + "raw_watermarked_detected": 0, + "raw_unwatermarked_detected": 0, + "cf_strip_watermarked_detected": 0, + "nfkc_watermarked_detected": 0, + "ws_collapse_watermarked_detected": 0, + "nfkc_cf_strip_watermarked_detected": 0, + "ws_collapse_nfkc_cf_strip_watermarked_detected": 0, + "visible_pass_count": 32, + "visible_total_count": 32, + }, + } + } + decision = classify_scale_detector_compare(artifact) + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["visible_pass_rate"] == "32/32" + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py new file mode 100644 index 00000000..13126d63 --- /dev/null +++ b/tests/test_global_seed_ledger.py @@ -0,0 +1,64 @@ +import json +from pathlib import Path + +import pytest + +from fuckmark.hashing import sha256_json +from fuckmark.seeds.ledger import ( + CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, + CYCLE8_SCALE_EXPLORATORY_SEED_BASE, + CYCLE8_SCALE_EXPLORATORY_TOPIC, + CYCLE8_SCALE_REPLICATION_SEED_BASE, + CYCLE8_SCALE_VALIDATION_SEED_BASE, + GLOBAL_SEED_LEDGER_VERSION, + PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, + assert_new_cycle8_scale_generation_seed, + assert_seed_not_confirmation_content, + global_seed_ledger_hash, + global_seed_ledger_payload, + known_seed_bases, + row_for_seed_base, +) + + +def test_global_seed_ledger_file_matches_embedded_payload() -> None: + path = Path(__file__).resolve().parents[1] / "specs" / "fuckmark-global-seed-ledger-v1.json" + disk = json.loads(path.read_text(encoding="utf-8")) + payload = {key: value for key, value in disk.items() if key != "ledger_hash"} + assert payload == global_seed_ledger_payload() + assert disk["ledger_hash"] == global_seed_ledger_hash() == sha256_json(payload) + assert payload["algorithm_version"] == GLOBAL_SEED_LEDGER_VERSION + + +def test_global_ledger_marks_880000_exposed_and_keeps_confirmation_unseen() -> None: + exposed = row_for_seed_base(880000) + assert exposed["publicly_exposed"] is True + assert exposed["spent"] is True + assert exposed["eligible_as_unseen_validation"] is False + assert exposed["eligible_for_confirmation"] is False + assert PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES == (880000,) + for seed_base in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: + row = row_for_seed_base(seed_base) + assert row["generated"] is False + assert row["scored"] is False + assert row["eligible_for_confirmation"] is True + with pytest.raises(ValueError, match="must not be inspected"): + assert_seed_not_confirmation_content(seed_base) + + +def test_scale_seeds_are_reserved_before_generation() -> None: + exploratory = row_for_seed_base(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) + assert exploratory["generation_topic"] == CYCLE8_SCALE_EXPLORATORY_TOPIC == "carrier scaling" + assert exploratory["generated"] is False + assert exploratory["scored"] is False + assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) + assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_REPLICATION_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="not a Cycle 8 scale"): + assert_new_cycle8_scale_generation_seed(890000) + with pytest.raises(ValueError, match="not a Cycle 8 scale"): + assert_new_cycle8_scale_generation_seed(920000) + bases = known_seed_bases() + assert len(bases) == len(set(bases)) + assert 930000 in bases and 940000 in bases and 950000 in bases diff --git a/tests/test_product_roundtrip.py b/tests/test_product_roundtrip.py new file mode 100644 index 00000000..e390baed --- /dev/null +++ b/tests/test_product_roundtrip.py @@ -0,0 +1,44 @@ +import re +import unicodedata + +from fuckmark.cycle8.registry import apply_all_candidates, cycle8_space_carrier_registry +from fuckmark.product.roundtrip import ( + display_column_width, + latin1_roundtrip_survives, + nfc_normalize, + roundtrip_report, + stdin_stdout_roundtrip, + utf8_file_roundtrip, +) +from fuckmark.product.visible_projection import is_carrier_insertion_v1, project_visible_v1 + + +def test_u034f_space_carrier_survives_utf8_nfc_and_stdio_roundtrips() -> None: + source = "I do not agree.\nWe cannot continue." + transformed = apply_all_candidates(cycle8_space_carrier_registry(0x034F), source) + assert transformed != source + assert is_carrier_insertion_v1(source, transformed, (0x034F,)) + assert project_visible_v1(transformed, (0x034F,)) == source + assert utf8_file_roundtrip(transformed) == transformed + assert stdin_stdout_roundtrip(transformed) == transformed + assert nfc_normalize(transformed) == transformed + assert latin1_roundtrip_survives(transformed) is False + report = roundtrip_report(source, transformed, (0x034F,)) + assert report["visible_ok"] is True + assert report["utf8_roundtrip_equals_transformed"] is True + assert report["nfc_equals_transformed"] is True + assert report["display_column_width_equal"] is True + assert report["newline_count_equal"] is True + assert report["ascii_space_count_equal"] is True + + +def test_u034f_after_space_breaks_literal_search_but_not_visible_projection() -> None: + source = "I do not agree." + transformed = apply_all_candidates(cycle8_space_carrier_registry(0x034F), source) + assert "do not" in source + assert "do not" not in transformed + assert re.search(r"do not", transformed) is None + assert "do not" in project_visible_v1(transformed, (0x034F,)) + assert unicodedata.category("\u034f") == "Mn" + assert unicodedata.combining("\u034f") == 0 + assert display_column_width(source) == display_column_width(transformed) From fc143cf0ca7ffa6279a6e7d2d701e193a09edc67 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 03:40:26 +0000 Subject: [PATCH 02/13] Record Cycle 8 U+034F x1 0/16 and 0/32 scale evidence. Fail-close product carrier sites whose trial insertion would violate frozen hard invariants, including spaced POSIX-path boundary artifacts that previously aborted n=64 apply. Seed 930000 exploratory scoring is development-only and does not authorize the public CLI. Co-authored-by: Byte271 --- CHANGELOG.md | 2 + README.md | 2 +- docs/product-contract.md | 2 +- docs/seeds.md | 2 +- .../cycle8-scale-930000-2026-08-26/README.md | 20 +++++++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 18 ++++++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + fuckmark/cycle8/compare.py | 17 +++++- fuckmark/cycle8/registry.py | 13 ++++- fuckmark/cycle8_hf.py | 9 +++ fuckmark/product/registry.py | 26 ++++++++- fuckmark/seeds/ledger.py | 2 +- fuckmark/transforms/schema.py | 1 + specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_scale.py | 56 +++++++++++++++++++ tests/test_global_seed_ledger.py | 5 +- tests/test_product_visible_invariance.py | 18 ++++++ 22 files changed, 192 insertions(+), 13 deletions(-) create mode 100644 evidence/cycle8-scale-930000-2026-08-26/README.md create mode 100644 evidence/cycle8-scale-930000-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-scale-930000-2026-08-26/decision.json create mode 100644 evidence/cycle8-scale-930000-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-scale-930000-n32-2026-08-26/README.md create mode 100644 evidence/cycle8-scale-930000-n32-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-scale-930000-n32-2026-08-26/decision.json create mode 100644 evidence/cycle8-scale-930000-n32-2026-08-26/detector-compare.json diff --git a/CHANGELOG.md b/CHANGELOG.md index d46db162..f53db964 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,6 +13,8 @@ - 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. - 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, matched UW 0, visible projection pass, sanitizer matrix 0 on those corpora. Product registry now fail-closes carrier sites that would violate frozen hard invariants (for example spaced POSIX-path boundary artifacts) instead of aborting. +- U+034F is still not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 74032d92..84894f71 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS` on three tiny 4-pair corpora (0/12 transformed WM). It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +Cycle 8 U+034F x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Tiny 4-pair corpora are 0/12 transformed WM. Scale exploratory seed `930000` is 0/16 then 0/32 raw transformed WM under the frozen detector, with visible projection passing. It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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/product-contract.md b/docs/product-contract.md index 278839a1..2e313953 100644 --- a/docs/product-contract.md +++ b/docs/product-contract.md @@ -66,4 +66,4 @@ 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. +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. diff --git a/docs/seeds.md b/docs/seeds.md index c52fd0b8..5cded247 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -15,7 +15,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | Seed | Role | Topic | Status | | --- | --- | --- | --- | -| 930000 | scale exploratory | `carrier scaling` | reserved; not generated at reservation time | +| 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16 then 0/32 U+034F x1 raw WM; not confirmation | | 940000 | scale replication | `independent scale replication` | reserved; not generated | | 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | diff --git a/evidence/cycle8-scale-930000-2026-08-26/README.md b/evidence/cycle8-scale-930000-2026-08-26/README.md new file mode 100644 index 00000000..4feb8511 --- /dev/null +++ b/evidence/cycle8-scale-930000-2026-08-26/README.md @@ -0,0 +1,20 @@ +# Cycle 8 scale exploratory detector evidence (seed 930000, 16 pairs) + +Development-only. Not confirmation. Seed `930000` and topic `carrier scaling` were reserved in `global-seed-ledger-v1` before generation. + +Frozen mechanism: U+034F space-carrier x1. Detector-blind placement. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. + +## Result + +| Arm | Pristine WM | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | Combined WM | NFC WM | Raw UW | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 0/16 | +| u034f-space-x1 | 16/16 | 0/16 | 0/16 | 0/16 | 0/16 | 0/16 | 0/16 | 0/16 | + +Visible projection: 32/32 PASS on the U+034F x1 arm (16 watermarked + 16 matched unwatermarked). Artifact `visible_pass_rate` `64/64` counts identity and U+034F arms together. + +U+034F x1 mean insertions 47.0; mean UTF-8 overhead 94 bytes. Raw transformed WM max score 0.535 < threshold. + +This is `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. It is not 0/192 and is not a product authorization. + +Do not inspect `830000`, `840000`, or `850000`. Do not generate `950000` yet. U+034F is not product-authorized. diff --git a/evidence/cycle8-scale-930000-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-scale-930000-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..5f811101 --- /dev/null +++ b/evidence/cycle8-scale-930000-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +496c862774f8c580d0baeb2a86d797f288537b1f2b505598aaf7c480a1fe6ac3 README.md +e5fd14cfb38c005934eb97c72999e688328d630ff142be59bd96a7f2539be125 decision.json +c3f37dad82dd097548ee754e224ee1eb560f10db736dd22dddf397abef09fb60 detector-compare.json diff --git a/evidence/cycle8-scale-930000-2026-08-26/decision.json b/evidence/cycle8-scale-930000-2026-08-26/decision.json new file mode 100644 index 00000000..c3c5fb76 --- /dev/null +++ b/evidence/cycle8-scale-930000-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":16,"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 x1 rows","U+034F x1 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"],"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":"32/32"} diff --git a/evidence/cycle8-scale-930000-2026-08-26/detector-compare.json b/evidence/cycle8-scale-930000-2026-08-26/detector-compare.json new file mode 100644 index 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you know how to write a coherent paragraph, then you can begin by writing it in plain English without having to make a list. 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Citing this type of statement is an unethical practice.\n\nCitation:\n\nF","text_sha256":"9ef9dec550588b4c8eb4302ab96f763ce1ca61e2dfc63f278fcbb168057579d5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-930000-01-technical_explanation-unwatermarked","seed":930032,"text":" Provide a description of the problem, and include a step-by-step explanation of how it happens.\n\nThis is all very detailed in the first part of this post.\n\nWhat is an implementation of a new feature in software?\n\nWe will now look at a single implementation, and define the key","text_sha256":"9970b98a73298c18b94e989669aa54438b207368fe8e51717765cfa63adcfd56"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-930000-01-technical_explanation-watermarked","seed":930032,"text":" This is how this implementation would work. This design is not intended to be a general-purpose solution, and I will attempt to do more in the near future. For example, the same data could be stored on a device that has no data, and not all data can be written into memory. This could be implemented","text_sha256":"54d533a9fd34624624423e2811a1b06a6de9ecab59329906135f5d1a70fd4640"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-930000-02-conversational_prose-unwatermarked","seed":930064,"text":"\n\nWhen is the best time to discuss the technical aspects of a system? Consider a network, say, with a few dozen users.\n\nWhat happens if you don't understand the topic at hand?\n\nIt's very easy to become frustrated when you don't understand what a system is doing.\n\n","text_sha256":"930c16d8da652f462fbc9155a659b655768a63ee08fc94e60a93f9ff9ae6e8b1"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-930000-02-conversational_prose-watermarked","seed":930064,"text":"\n\nUse clear language. Use examples that are clear and obvious.\n\nDo a search for the word \"truemark\" in your article.\n\nAvoid using profanity.\n\nRemember that companies will pay for your marketing costs. (Also note that you don't need to pay for your service by","text_sha256":"87558ea44102ca9d15b98e6815edc3fc2cbc2bce088151f915670171752b41dd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-930000-03-structured_instructional-unwatermarked","seed":930096,"text":" For example, let's say you're going to teach your student to find a number that will give you a score of 1, 2, or 3. One of your students uses a long string to find the number. That means \"1 is 1.\" You say: 1 = 1, 2 = 2, 3 =","text_sha256":"bd088bc38f409f5267f4950c47ec455c14ae9638df7ca14d0344412461c98403"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-930000-03-structured_instructional-watermarked","seed":930096,"text":" For example, read this simple and concise example of a carrier, and the two steps of the step that are followed by a three-step instruction for applying carrier scaling.\n\nIf you'd like to learn how to create a \"faceted\" carrier, then you can see here the four steps of the step","text_sha256":"33c8d45e22037791691bb7c3f60e8f49531763289d4005a508e1d13caf8874d2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-930000-04-general_explanatory-unwatermarked","seed":930132,"text":" Add a paragraph containing a comment that you're sure you will not be interrupted.\n\nThis is a work in progress, and I do not recommend it for any specific purpose.\n\nIn other words, read it with caution and be patient.\n\nI would recommend a few notes about the work, including what","text_sha256":"a3ebff2432187a08cb5a31a8d3cecc1abc488512770ebfd370943836ead21f08"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-930000-04-general_explanatory-watermarked","seed":930132,"text":" Use a good English language.\n\nYou can learn a lot about carrier scaling from this paper by:\n\nTravis B. Eriksson, Ph.D., a professor of computer science at Stanford University, is a co-author of this paper. He is the lead author of this article and is the","text_sha256":"d2eccffafa243958c15f29d7cfe4611e45091dcdf1724397eef2b949169e476a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-930000-05-technical_explanation-unwatermarked","seed":930160,"text":"\n\nFor the main idea, the first step is to get the test data set. The validation check needs to be done in both the C and C++ versions of the test suite. In the C version of the test suite, the check is in the C version of the test suite. In the C++ version","text_sha256":"4b7765d81e1b0cc2f0ee0875102b5e1ea7729f9ce080e63ed86c05c01d1d0894"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-930000-05-technical_explanation-watermarked","seed":930160,"text":" Set up the validation check, and you have your proof. Test your system. Verify that the implementation is correct. If it is, you have a system that can accept or reject your data. And, if it is not, you don't need to worry about any validation in the future.\n\nNow you need","text_sha256":"9f1bc72331c3536577dc294f733d39013382e9d56e8366bf304143d3ea53a753"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-930000-06-conversational_prose-unwatermarked","seed":930192,"text":" (Or use the example of a call of the day.) Use the exact words in your text.\n\nThis gives you the context to articulate your point. You can use this to your advantage by using a phrase or sentence that makes a clear point. Or by doing the same with your language.\n\nTo make","text_sha256":"75f414a7cc5d605058a5ec57688accaef7ff6e032642db10dcd508a27efb9975"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-930000-06-conversational_prose-watermarked","seed":930192,"text":" (Or use more formal language like \"a little bit of explanation and a lot of explaining.\")\n\nIn my experience, it's helpful to learn a few key words when you're talking about things you'd rather not know or that you don't want to talk about.\n\n\"If you don't know anything","text_sha256":"c395d92e6190dde25bec7ad466dfe604898185f5c05875cbd7d15595fb7c187c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-unwatermarked","seed":930224,"text":"\n\nIf you do the same experiment with a large sample size, you may encounter issues with your test subjects. For example, if you are able to use a large number of people and then randomly divide the people who do the same experiment into two groups, then the results may be very different. In this example,","text_sha256":"dd8f35eb333189403c0ef20657252a6e8e3e25f42b476a0d4765aaff73c333c5"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-watermarked","seed":930224,"text":" You'll also need to create a simple example to illustrate the effect of carrier scaling:\n\nStep 1: Use a short 3-step instruction for applying carrier scaling. Use complete sentences and keep each step concrete. You'll also need to create a simple example to illustrate the effect of carrier scaling: Step 2: Use","text_sha256":"351e2bd0c45f28616020ed26d9684533e736c45d54e891e43a147a8c14991685"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-unwatermarked","seed":930257,"text":"\n\n3. Provide a single, clear, simple definition of a carrier and how carriers work\n\nIf you have a list of common words that define a carrier, and you just need to fill them with carrier definitions, write a single sentence.\n\nWrite a list of carrier definitions that use this common language.","text_sha256":"ec6b0cb275bf77230bccabb692a4aa8a54b57db1b4777b0cc577ebbbb2074b5d"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-watermarked","seed":930257,"text":"\n\n3. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on the page with the words \"how to scale\" and \"when to scale.\"\n\n4. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on","text_sha256":"e664fa55ecb83f5e1e0a2192a7936d0623ba25eb2ff017490a3c9ab52fb104e9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-unwatermarked","seed":930288,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main idea, one failure mode, and one validation check. Assign a hardware implementation to an implementation defined in the device specification. Define a validation check.\n\nConceptually, you can see how to use an emulator","text_sha256":"debe78517acc9ae52de98fda37f3402ff835c6146b62b07e4cf0dc7a29910b38"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-watermarked","seed":930288,"text":" For a full implementation, see the following example.\n\npackage com.example.compiler ; use com.example ; use com.example.compiler.core ; use com.example.compiler.tls ; use com.example.compiler.tls.TlsConnection ; use com.","text_sha256":"fbdbc5bd90f4c1ee4d7eb8d5969bc1c45e9b11d5220fc8825276e7614a86dae3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-unwatermarked","seed":930320,"text":"\n\nGet a sense of what's being said. Don't assume that your customers are going to take a page from the same article. Use your best judgment and be sure that they understand what's being said.\n\nYou'll feel like a true professional when you are ready to step away.\n\n1.","text_sha256":"abc977840ff4a1ddfa5fb2a33f5c24d9f8c1b80f8a80d413c916659f50ac2c0a"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-watermarked","seed":930320,"text":" Use a clear language that gives you the same information as your user. Use an easy to understand syntax that has a sense of context.\n\n5. Do not confuse scaling with \"scaling\" or \"fishing\". While there are plenty of good ways to learn how to fish, there are always the more mundane","text_sha256":"ef7d9fa316e2fdbfaa145ae956b22a0f062897efb68cb0ffd98a2faf585ea1bb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-930000-11-structured_instructional-unwatermarked","seed":930352,"text":"\n\nIf you like, you can also do that here, and the example will apply to any language that uses it.\n\nThe sample program will be a couple of different kinds of code:\n\nI've put this in a new subdirectory with the following structure:\n\n#include tuple[str, ...]: +def select_nonoverlapping_candidate_ids( + enumeration, + registry: ProductTransformRegistry | None = None, +) -> tuple[str, ...]: selected: list[str] = [] occupied_until = 0 for candidate in enumeration.candidates: @@ -44,6 +47,12 @@ def select_nonoverlapping_candidate_ids(enumeration) -> tuple[str, ...]: continue if candidate.family is not TransformFamily.ORTHOGRAPHY: continue + trial_ids = (*selected, candidate.candidate_id) + if registry is not None: + try: + registry.apply(enumeration, trial_ids) + except ValueError: + continue selected.append(candidate.candidate_id) occupied_until = candidate.end return tuple(selected) @@ -51,7 +60,7 @@ def select_nonoverlapping_candidate_ids(enumeration) -> tuple[str, ...]: def apply_all_candidates(registry: ProductTransformRegistry, text: str) -> str: enumeration = registry.enumerate(text) - selected = select_nonoverlapping_candidate_ids(enumeration) + selected = select_nonoverlapping_candidate_ids(enumeration, registry=registry) if not selected: return text return registry.apply(enumeration, selected).output_text diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index 14bd73d0..91701234 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -123,6 +123,15 @@ def _score_stats(selected, variant): if watermarked or unwatermarked else 0 ), + "hard_invariant_blocked_mean": ( + sum(int(row["geometry"].get("hard_invariant_blocked_count") or 0) for row in (*watermarked, *unwatermarked)) + / (len(watermarked) + len(unwatermarked)) + if watermarked or unwatermarked + else 0 + ), + "fail_closed_identity_count": sum( + bool(row["geometry"].get("fail_closed_identity")) for row in (*watermarked, *unwatermarked) + ), } diff --git a/fuckmark/product/registry.py b/fuckmark/product/registry.py index 6305c7ff..a79a6beb 100644 --- a/fuckmark/product/registry.py +++ b/fuckmark/product/registry.py @@ -4,6 +4,8 @@ from ..hashing import sha256_json from ..transforms.candidate_artifacts import CandidateEnumeration, _build_conflicts +from ..transforms.cycle7_quote_policy import QUOTE_INTERIOR_POLICY_IDS +from ..transforms.hard_invariants import validate_hard_invariants from ..transforms.quote_policy import BLANKET_QUOTE_PROTECTION_POLICY_ID from ..transforms.registry import ( TRANSFORM_REGISTRY_ALGORITHM_VERSION, @@ -18,7 +20,7 @@ from .visible_projection import is_carrier_insertion_v1, normalize_approved_carriers, product_approved_carriers_v1, project_visible_v1 -PRODUCT_REGISTRY_ALGORITHM_VERSION = "product-transform-registry-v1" +PRODUCT_REGISTRY_ALGORITHM_VERSION = "product-transform-registry-v2" class ProductTransformRegistry(TransformRegistry): @@ -79,12 +81,13 @@ def enumerate(self, text: str, user_ranges=()) -> CandidateEnumeration: ) approved = frozenset(self._approved_carriers) by_identity = {(rule.rule_id, rule.version, rule.rule_hash): rule for rule in self.rules} + quote_interior = self._quote_policy_id in QUOTE_INTERIOR_POLICY_IDS candidates = [] extra_rejections = list(original.rejections) for candidate in original.candidates: trial = text[: candidate.start] + candidate.replacement_text + text[candidate.end :] + rule = by_identity[(candidate.rule_id, candidate.rule_version, candidate.rule_hash)] if not is_carrier_insertion_v1(text, trial, approved): - rule = by_identity[(candidate.rule_id, candidate.rule_version, candidate.rule_hash)] extra_rejections.append( _make_rejection( original.input_hash, @@ -96,6 +99,25 @@ def enumerate(self, text: str, user_ranges=()) -> CandidateEnumeration: ) ) continue + invariant_report = validate_hard_invariants( + text, + trial, + self.identifiers, + original.protected_manifest.user_ranges, + include_quotations=not quote_interior, + ) + if invariant_report.status is not InvariantStatus.PASS: + extra_rejections.append( + _make_rejection( + original.input_hash, + rule, + candidate.start, + candidate.end, + candidate.source_text, + CandidateRejectionReason.HARD_INVARIANT_FAILED, + ) + ) + continue candidates.append(candidate) ordered = tuple(candidates) ordered_rejections = tuple( diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index fea5f5e5..140590f1 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -81,7 +81,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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(930000, "cycle8", "scale_exploratory_development", CYCLE8_SCALE_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before any Cycle 8 scale generation. First large U+034F x1 development corpus."), + _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 x1 scale exploratory: 0/16 then 0/32 raw transformed WM. Not confirmation. Not unseen validation."), _row(940000, "cycle8", "scale_replication", CYCLE8_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent large-N replication after 930000."), _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."), _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."), diff --git a/fuckmark/transforms/schema.py b/fuckmark/transforms/schema.py index bc77188f..e9144e0c 100644 --- a/fuckmark/transforms/schema.py +++ b/fuckmark/transforms/schema.py @@ -46,6 +46,7 @@ class CandidateRejectionReason(str, Enum): UNSUPPORTED_CASE = "unsupported_case" PRECONDITION_FAILED = "precondition_failed" USER_VISIBLE_TEXT_CHANGED = "user_visible_text_changed" + HARD_INVARIANT_FAILED = "hard_invariant_failed" class InvariantStatus(str, Enum): diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json index e92b4f65..7153630e 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_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":"d9e848d122dd97ef6af7ffaae12fa48d789acec4e4b665fecacac3bbbb2f5706","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":false,"generation_topic":"carrier scaling","notes":"Reserved before any Cycle 8 scale generation. First large U+034F x1 development corpus.","publicly_exposed":false,"role":"scale_exploratory_development","scored":false,"seed_base":930000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent large-N replication after 930000.","publicly_exposed":false,"role":"scale_replication","scored":false,"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} +{"algorithm_version":"global-seed-ledger-v1","confirmation_content_forbidden_seed_bases":[830000,840000,850000],"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":"916752d42a707b5a762405bfc36335072e2d50e881c2bcb4b7aae114de1fe21b","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 x1 scale exploratory: 0/16 then 0/32 raw transformed WM. Not confirmation. Not unseen validation.","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":false,"generation_topic":"independent scale replication","notes":"Reserved before generation. Independent large-N replication after 930000.","publicly_exposed":false,"role":"scale_replication","scored":false,"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} diff --git a/tests/test_cycle8_scale.py b/tests/test_cycle8_scale.py index 980626af..823fe1d8 100644 --- a/tests/test_cycle8_scale.py +++ b/tests/test_cycle8_scale.py @@ -1,3 +1,5 @@ +import json + import pytest from fuckmark.cycle8.compare import CYCLE8_IDENTITY_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID @@ -16,6 +18,60 @@ def test_scale_pair_count_and_seed_are_frozen_before_generation() -> None: assert_new_cycle8_scale_generation_seed(830000) +def test_cycle8_scale_n16_and_n32_are_zero_raw_on_frozen_u034f_x1() -> None: + from pathlib import Path + + from fuckmark.hashing import sha256_json + + n16 = json.loads( + (Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-2026-08-26" / "detector-compare.json").read_text( + encoding="utf-8" + ) + ) + n16_body = {key: value for key, value in n16.items() if key != "artifact_hash"} + assert n16["artifact_hash"] == sha256_json(n16_body) + assert n16["seed_base"] == 930000 + assert n16["pair_count"] == 16 + assert n16["detector_access_used_for_selection"] is False + identity = n16["summaries"][CYCLE8_IDENTITY_ARM_ID] + u034f = n16["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + assert identity["raw_watermarked_detected"] == 16 + assert identity["pristine_watermarked_detected"] == 16 + assert u034f["raw_watermarked_detected"] == 0 + assert u034f["raw_unwatermarked_detected"] == 0 + assert u034f["cf_strip_watermarked_detected"] == 0 + assert u034f["nfkc_watermarked_detected"] == 0 + assert u034f["ws_collapse_watermarked_detected"] == 0 + assert u034f["nfc_watermarked_detected"] == 0 + assert u034f["visible_pass_count"] == 32 + n32 = json.loads( + ( + Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-n32-2026-08-26" / "detector-compare.json" + ).read_text(encoding="utf-8") + ) + n32_body = {key: value for key, value in n32.items() if key != "artifact_hash"} + assert n32["artifact_hash"] == sha256_json(n32_body) + assert n32["pair_count"] == 32 + assert n32["summaries"][CYCLE8_IDENTITY_ARM_ID]["raw_watermarked_detected"] == 32 + assert n32["summaries"][CYCLE8_U034F_SPACE_ARM_ID]["raw_watermarked_detected"] == 0 + assert n32["summaries"][CYCLE8_U034F_SPACE_ARM_ID]["raw_unwatermarked_detected"] == 0 + assert n32["summaries"][CYCLE8_U034F_SPACE_ARM_ID]["visible_pass_count"] == 64 + n16_decision = json.loads( + (Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-2026-08-26" / "decision.json").read_text( + encoding="utf-8" + ) + ) + n32_decision = json.loads( + (Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-n32-2026-08-26" / "decision.json").read_text( + encoding="utf-8" + ) + ) + assert n16_decision["decision"] == PROMISING_DEVELOPMENT + assert n32_decision["decision"] == PROMISING_DEVELOPMENT + assert n16_decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + assert n32_decision["u034f_raw_watermarked_detected"] == 0 + + def test_classify_scale_detector_compare_marks_zero_raw_as_promising() -> None: artifact = { "summaries": { diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 13126d63..2ce4f890 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -49,8 +49,9 @@ def test_global_ledger_marks_880000_exposed_and_keeps_confirmation_unseen() -> N def test_scale_seeds_are_reserved_before_generation() -> None: exploratory = row_for_seed_base(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) assert exploratory["generation_topic"] == CYCLE8_SCALE_EXPLORATORY_TOPIC == "carrier scaling" - assert exploratory["generated"] is False - assert exploratory["scored"] is False + assert exploratory["generated"] is True + assert exploratory["scored"] is True + assert exploratory["eligible_as_unseen_validation"] is False assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_REPLICATION_SEED_BASE) with pytest.raises(ValueError, match="frozen"): diff --git a/tests/test_product_visible_invariance.py b/tests/test_product_visible_invariance.py index e76b2b63..621a471b 100644 --- a/tests/test_product_visible_invariance.py +++ b/tests/test_product_visible_invariance.py @@ -127,3 +127,21 @@ def test_protected_url_and_number_and_path_are_not_carrier_sites() -> None: assert "42" in applied.replace("\u034f", "") assert "/tmp/foo.txt" in applied.replace("\u034f", "") assert is_carrier_insertion_v1(text, applied, (0x034F,)) + + +def test_u034f_space_carrier_fail_closes_sites_that_create_extended_paths() -> None: + from fuckmark.cycle8.registry import apply_all_candidates, cycle8_space_carrier_registry + from fuckmark.transforms.hard_invariants import validate_hard_invariants + from fuckmark.transforms.schema import CandidateRejectionReason, InvariantStatus + + registry = cycle8_space_carrier_registry(0x034F) + text = "Use / tmp / nested / file.txt after the check." + enumeration = registry.enumerate(text) + assert any( + rejection.reason is CandidateRejectionReason.HARD_INVARIANT_FAILED for rejection in enumeration.rejections + ) + applied = apply_all_candidates(registry, text) + assert is_carrier_insertion_v1(text, applied, (0x034F,)) + assert project_visible_v1(applied, (0x034F,)) == text + assert validate_hard_invariants(text, applied).status is InvariantStatus.PASS + assert "file.txt" in applied.replace("\u034f", "") From b63232b26ea6f2a6fb3356d891a77e8f51381466 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 03:53:12 +0000 Subject: [PATCH 03/13] Record Cycle 8 seed 930000 U+034F x1 1/64 scale residual. The 64-pair exploratory expansion stayed visible-invariant and sanitizer-stable, with one transformed watermarked detection just above the frozen threshold. Do not rewrite 1/64 as zero. Independent replication uses reserved seed 940000. Co-authored-by: Byte271 --- CHANGELOG.md | 2 +- README.md | 2 +- docs/seeds.md | 2 +- .../README.md | 22 +++++++++++++ .../SHA256SUMS.txt | 3 ++ .../decision.json | 1 + .../detector-compare.json | 1 + fuckmark/seeds/ledger.py | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_scale.py | 32 +++++++++++++++++++ 10 files changed, 64 insertions(+), 5 deletions(-) create mode 100644 evidence/cycle8-scale-930000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-scale-930000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-scale-930000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-scale-930000-n64-2026-08-26/detector-compare.json diff --git a/CHANGELOG.md b/CHANGELOG.md index f53db964..04f090e4 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,7 +13,7 @@ - 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. - 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, matched UW 0, visible projection pass, sanitizer matrix 0 on those corpora. Product registry now fail-closes carrier sites that would violate frozen hard invariants (for example spaced POSIX-path boundary artifacts) instead of aborting. +- 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. 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`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 84894f71..453ac2c5 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Tiny 4-pair corpora are 0/12 transformed WM. Scale exploratory seed `930000` is 0/16 then 0/32 raw transformed WM under the frozen detector, with visible projection passing. It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +Cycle 8 U+034F 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 under the frozen detector, with visible projection passing. Do not rewrite 1/64 as zero. It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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/seeds.md b/docs/seeds.md index 5cded247..51146cc2 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -15,7 +15,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | Seed | Role | Topic | Status | | --- | --- | --- | --- | -| 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16 then 0/32 U+034F x1 raw WM; not confirmation | +| 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16, 0/32, then 1/64 U+034F x1 raw WM; do not rewrite 1/64 as zero | | 940000 | scale replication | `independent scale replication` | reserved; not generated | | 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | diff --git a/evidence/cycle8-scale-930000-n64-2026-08-26/README.md b/evidence/cycle8-scale-930000-n64-2026-08-26/README.md new file mode 100644 index 00000000..0568d8df --- /dev/null +++ b/evidence/cycle8-scale-930000-n64-2026-08-26/README.md @@ -0,0 +1,22 @@ +# Cycle 8 scale exploratory detector evidence (seed 930000, 64 pairs) + +Development-only. Not confirmation. Seed `930000` and topic `carrier scaling` were reserved in `global-seed-ledger-v1` before generation. Pair indices 0-63. Frozen mechanism: U+034F space-carrier x1 with hard-invariant fail-closed site skipping. Detector-blind placement. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. + +## Result + +| Arm | Pristine WM | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | Combined WM | NFC WM | Raw UW | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 63/64 | 63/64 | 63/64 | 63/64 | 63/64 | 63/64 | 63/64 | 2/64 | +| u034f-space-x1 | 63/64 | **1/64** | 1/64 | 1/64 | 1/64 | 1/64 | 1/64 | 0/64 | + +Visible projection: 128/128 PASS on the U+034F x1 arm (64 watermarked + 64 matched unwatermarked). Artifact `visible_pass_rate` `256/256` counts identity and U+034F arms together. + +U+034F x1 mean insertions 47.0703125; mean UTF-8 overhead 94.140625 bytes. Raw transformed WM mean score 0.51196, median 0.50947, max 0.55894. + +This is a **NONZERO residual**: 1/64 transformed watermarked detections. Do not rewrite it as zero. The residual row kept 22 insertions (below the corpus mean of 47) and a GPT-2 token-count delta of 70 (corpus min; mean 149). Its raw score 0.55894 is 0.00184 above the frozen threshold. Fail-closed identity count is 0. One other watermarked row skipped 2 hard-invariant sites and still inserted 43 carriers; that row is not the residual. + +Identity unwatermarked detections are 2/64 on this corpus. Transformed unwatermarked detections are 0/64. + +This is `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. It is not 0/192 and is not a product authorization. Do not inspect this residual to write per-row lexical rules. Do not retune the frozen U+034F x1 placement on this row. Independent replication uses reserved seed `940000`. + +Do not inspect `830000`, `840000`, or `850000`. Do not generate `950000` yet. U+034F is not product-authorized. diff --git a/evidence/cycle8-scale-930000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-scale-930000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..eeabe45a --- /dev/null +++ b/evidence/cycle8-scale-930000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +280c37a8b1ba8d1e6740ffac580b181326d7bce120b468e1aead75c4d344f442 README.md +392d719e573ca9fc1ac62c08744921a00fb154f58a4a52f942737dbcb9c5879d decision.json +22e98ea9d735dc6b770f4862914b2cf0ee397e020345be1f44c5ab920ce5c897 detector-compare.json diff --git a/evidence/cycle8-scale-930000-n64-2026-08-26/decision.json b/evidence/cycle8-scale-930000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..30f60979 --- /dev/null +++ b/evidence/cycle8-scale-930000-n64-2026-08-26/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 x1 rows","U+034F x1 reduced raw watermarked detections without raising unwatermarked detections","Cf-strip detections match raw transformed detections","NFKC and whitespace-collapse detections match raw transformed detections","combined sanitizer detections match raw transformed detections"],"u034f_cf_strip_watermarked_detected":1,"u034f_nfkc_cf_strip_watermarked_detected":1,"u034f_nfkc_watermarked_detected":1,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":1,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":1,"u034f_ws_collapse_watermarked_detected":1,"visible_failures":0,"visible_pass_rate":"128/128"} diff --git a/evidence/cycle8-scale-930000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-scale-930000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..c143c137 --- /dev/null +++ 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Or by doing the same with your language.\n\nTo make","text_sha256":"75f414a7cc5d605058a5ec57688accaef7ff6e032642db10dcd508a27efb9975"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-930000-06-conversational_prose-watermarked","seed":930192,"text":" (Or use more formal language like \"a little bit of explanation and a lot of explaining.\")\n\nIn my experience, it's helpful to learn a few key words when you're talking about things you'd rather not know or that you don't want to talk about.\n\n\"If you don't know anything","text_sha256":"c395d92e6190dde25bec7ad466dfe604898185f5c05875cbd7d15595fb7c187c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-unwatermarked","seed":930224,"text":"\n\nIf you do the same experiment with a large sample size, you may encounter issues with your test subjects. For example, if you are able to use a large number of people and then randomly divide the people who do the same experiment into two groups, then the results may be very different. In this example,","text_sha256":"dd8f35eb333189403c0ef20657252a6e8e3e25f42b476a0d4765aaff73c333c5"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-watermarked","seed":930224,"text":" You'll also need to create a simple example to illustrate the effect of carrier scaling:\n\nStep 1: Use a short 3-step instruction for applying carrier scaling. Use complete sentences and keep each step concrete. You'll also need to create a simple example to illustrate the effect of carrier scaling: Step 2: Use","text_sha256":"351e2bd0c45f28616020ed26d9684533e736c45d54e891e43a147a8c14991685"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-unwatermarked","seed":930257,"text":"\n\n3. Provide a single, clear, simple definition of a carrier and how carriers work\n\nIf you have a list of common words that define a carrier, and you just need to fill them with carrier definitions, write a single sentence.\n\nWrite a list of carrier definitions that use this common language.","text_sha256":"ec6b0cb275bf77230bccabb692a4aa8a54b57db1b4777b0cc577ebbbb2074b5d"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-watermarked","seed":930257,"text":"\n\n3. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on the page with the words \"how to scale\" and \"when to scale.\"\n\n4. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on","text_sha256":"e664fa55ecb83f5e1e0a2192a7936d0623ba25eb2ff017490a3c9ab52fb104e9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-unwatermarked","seed":930288,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main idea, one failure mode, and one validation check. Assign a hardware implementation to an implementation defined in the device specification. Define a validation check.\n\nConceptually, you can see how to use an emulator","text_sha256":"debe78517acc9ae52de98fda37f3402ff835c6146b62b07e4cf0dc7a29910b38"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-watermarked","seed":930288,"text":" For a full implementation, see the following example.\n\npackage com.example.compiler ; use com.example ; use com.example.compiler.core ; use com.example.compiler.tls ; use com.example.compiler.tls.TlsConnection ; use com.","text_sha256":"fbdbc5bd90f4c1ee4d7eb8d5969bc1c45e9b11d5220fc8825276e7614a86dae3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-unwatermarked","seed":930320,"text":"\n\nGet a sense of what's being said. Don't assume that your customers are going to take a page from the same article. Use your best judgment and be sure that they understand what's being said.\n\nYou'll feel like a true professional when you are ready to step away.\n\n1.","text_sha256":"abc977840ff4a1ddfa5fb2a33f5c24d9f8c1b80f8a80d413c916659f50ac2c0a"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-watermarked","seed":930320,"text":" Use a clear language that gives you the same information as your user. Use an easy to understand syntax that has a sense of context.\n\n5. Do not confuse scaling with \"scaling\" or \"fishing\". While there are plenty of good ways to learn how to fish, there are always the more mundane","text_sha256":"ef7d9fa316e2fdbfaa145ae956b22a0f062897efb68cb0ffd98a2faf585ea1bb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-930000-11-structured_instructional-unwatermarked","seed":930352,"text":"\n\nIf you like, you can also do that here, and the example will apply to any language that uses it.\n\nThe sample program will be a couple of different kinds of code:\n\nI've put this in a new subdirectory with the following structure:\n\n#include scale( -1 )\n\n$d = $net->max_size( -1 )\n\n$","text_sha256":"6c75a143e9efc5b6fd35e771fd3ba5d9430388cba2d0e00ef15e0bb818401b64"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-930000-34-conversational_prose-unwatermarked","seed":931089,"text":" If the subject line is \"How do you measure a given change?\" ask \"Do you use the same measure in different situations?\" and \"What do you consider to be the most important measurement in your company?\" It's a good idea to take a quick look at the company's internal documentation. Your work should go out","text_sha256":"09b3454a5262123c92c77fa5cd26bd8c5382e4c27d3d911682176006c61991fb"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-930000-34-conversational_prose-watermarked","seed":931089,"text":" You will find it easier to understand the words than to make a general description.\n\nUse the word \"charity\" to describe your mission, which is to fight for all who need it.\n\nConsider this. Your team needs to recruit 30,000 people to help bring the global health initiative on board.","text_sha256":"bf6b10e4582a04407b4bdba67c02e05733c29e7f1c6f5386548f8abebd7a9f3c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-930000-35-structured_instructional-unwatermarked","seed":931120,"text":"\n\nHere's the code:\n\nvoid test_loop_state(void) { int len = test_loop_state(); int b; try { b = 0; } catch (unexpected) { test_loop_state() { if (b > 0) { test_loop_state()","text_sha256":"443e822b4847a68886f26d55e140eeffdbe08cb97d170a60ab9ba1d7024124b8"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-930000-35-structured_instructional-watermarked","seed":931120,"text":"\n\nThis example illustrates a common way to test carrier scaling. To use this example in a real-world test, first find the \"number of steps\" and then use a quick-step instruction that will test each step to see if it holds.\n\nThis example demonstrates how to make an actual carrier scale in","text_sha256":"790ee7941bd27514a7ddfd62f340014b75d63305d0efa6c2f7f1e9a5178be956"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-930000-36-general_explanatory-unwatermarked","seed":931152,"text":" Write the whole thing in short sentences. Have a clear overview of what it means. Write with a clear idea of what it means. Be able to explain to anyone who is not an expert in how scale works.\n\nHow do I get started?\n\nIn the first step, you should have a list of","text_sha256":"34cc50442339fb8a3c1b7c29a1ccb88ae95ab4822ce92fcba398e0eac43080b9"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-930000-36-general_explanatory-watermarked","seed":931152,"text":" Use a standard notation such as:\n\n{-# LANGUAGE CORE #-} struct MyScenario { // An example of how to use this method, but it doesn't have to be this way. I'll use this method // in the next section. } // This is a simple example","text_sha256":"439f83e68494f559eefd4f5ed3fb08dd0e0003f9a98bea613dd50c3078e87643"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-930000-37-technical_explanation-unwatermarked","seed":931184,"text":"\n\nThe main idea, one failure mode, and one validation check. Evaluate the state of the state machine. Check that the state machine is functioning as expected.\n\nThe state machine is functioning as expected. Find the state machine's state machine's state machine's state machine's state machine's state machine's","text_sha256":"9606f5009c56f39c1f501bcacca4d5823e41da6abff9c2e50bf251f851e127bc"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-930000-37-technical_explanation-watermarked","seed":931184,"text":" You can also use the following example to see how to scale a single service to the desired number of users.\n\nFigure 9: Scalability of Service Providers\n\nThe second example shows how to scale the service to the desired number of users.\n\nFigure 10: Scalability of Service Providers\n\n","text_sha256":"1100d04b31869c0d727d68d78653f5ca8d949a443f2f175d18b6634c314741eb"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-930000-38-conversational_prose-unwatermarked","seed":931216,"text":"\n\nIn the case of a small business, you want the customer to know what's going on. They need to know what to expect from you. And they want to be confident that they can make the right decisions, not just when they're at work.\n\nIn this context, you want to make sure","text_sha256":"8a38f5ef46cc59fc12a04d626302ebbb78b3c9820969f8c86bc26a593646cb05"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-930000-38-conversational_prose-watermarked","seed":931216,"text":" Use a simple but effective set of words. Don't use any acronyms. Instead, be sure to use the same grammar and vocabulary you use when you write your post. Remember that your post will be a quick, fun, insightful post, not a spammy post.\n\nDoing this will help keep","text_sha256":"9976a88a0cc15d525b3953fbf2151f261424276e285f5c5751a5f61030df400d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-930000-39-structured_instructional-unwatermarked","seed":931248,"text":"\n\nThe four instructions can be separated by a single line, which can be a little tedious. One final note, this is only the first part, so don't worry about it.\n\nStep 1\n\nStep 2\n\nStep 3\n\nStep 4\n\nStep 5\n\nStep 6\n\n","text_sha256":"b692cee86238c8a796f9ff0711000f61972ee1880ac7714308112dcfa97a93cc"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-930000-39-structured_instructional-watermarked","seed":931248,"text":" Use a list of the steps before performing an action to find out what the action should be. In this example, I'll explain the step-by-step instructions in more detail. Note that the sequence of steps does not have to be a full sequence of actions, but is an abstract idea, with many more possible","text_sha256":"7f5c9c3f7bc6c90dfa12a19a8b43495b5781c4022cfe43f14a31d2fa431f5cc2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-930000-40-general_explanatory-unwatermarked","seed":931280,"text":"\n\n5. I'm a pretty dumb human being\n\nYou'll learn to read an essay, but don't know how to read it.\n\nI'll take you to a friend's blog, and she'll tell you what I think I should do to get through this. I'll ask you to write","text_sha256":"6a24fb6bf359e9bb897bf49db41e089a82db45439aee1751902bc11447ffa7d5"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-930000-40-general_explanatory-watermarked","seed":931280,"text":" Have a clear overview of the information you need to explain it. Avoid making assumptions. Keep your own, personal information out of the equation.\n\nAvoid assumptions. Keep your own, personal information out of the equation. Consider whether or not you should take the route of charging your phone. It's better to pay more","text_sha256":"eb2e34e884bb29f0a7d3c6b3b60c349de5111ef03b54a13ae12448d13bc172b9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-930000-41-technical_explanation-unwatermarked","seed":931312,"text":" How is this design accomplished? What are the steps to implement it?\n\nLet's look at a couple of examples:\n\nOne of our main experiments, the first one, had its initial data set loaded up with a set of six images. A few of the data sets were saved and stored in a cache","text_sha256":"b3485bdbd271825ead5040282cf99912b41cd394ab3e8dc4b9d4a07cac6caf1e"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-930000-41-technical_explanation-watermarked","seed":931312,"text":" How do you design a software experiment? Design a single fail test, where the test runs for 5 seconds and the validation check is performed every second. What happens if the test fails? If the validation check fails, a test-driven test engine can run it and run it multiple times.\n\nThis might be the","text_sha256":"59fbc99b8dba352f300def72a8b59bdebf14ac5e1c0d8e3fd8882061544e7d02"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-930000-42-conversational_prose-unwatermarked","seed":931344,"text":" Use English fluently and clearly.\n\n8. How To Create a Great Customer Experience\n\nIf you're new to using the service and want to learn how to deliver real customer experiences to your customers, it's time to get real. You should begin to do so by learning how to communicate with your customers in","text_sha256":"2a2e14891bd038d175a3ccf1cf9ec8fa2db788c755ccb42f0a1f4fa619d85d04"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-930000-42-conversational_prose-watermarked","seed":931344,"text":" Use a conversational language of your choice.\n\nDo not try to be too precise. Ask yourself whether you need to understand something more.\n\nIf you are a business person, keep yourself focused on a goal. You will see that you are doing something good that will help you grow.\n\nDo not","text_sha256":"004d2e588f89916f16c4146d2a41607e7c63032ba786fc0a06ad2029be72584a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-930000-43-structured_instructional-unwatermarked","seed":931376,"text":"\n\nThis is just a short list of things that you can do when using this technique.\n\nStep 1: Implement your code using some simple, but effective techniques\n\nIn this section, I'll show you how you can actually implement your own algorithm for the same behavior with some simple methods. You can read","text_sha256":"c3782a3a6f5c33e8ae636f2242ff5c6eb71f340cad7da744fbb3c1249f5c3b81"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-930000-43-structured_instructional-watermarked","seed":931376,"text":"\n\nThis is just one of several ways to test the theory. In addition to these tools, you'll need a number of other tools, including:\n\nA good general understanding of how the model works and how it fits into the real world\n\nA good way to test the hypothesis for a specific condition\n","text_sha256":"cf159ad327b22e09dc9fa18eb893c54a75ffed6ba9ac3c847c053c3cc5076219"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-930000-44-general_explanatory-unwatermarked","seed":931408,"text":" The next paragraph will be all about the next paragraph. \"This is what we are doing, not what we are being told.\"\n\nWhat does this mean?\n\nIt means that you write one paragraph for every page of an article. This is a little bit of a \"slice of life\" for us","text_sha256":"cefdf2b1669b2b54d8b7348843a50de62b56d345e7bb5d55adf8ed69ded57bfb"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-930000-44-general_explanatory-watermarked","seed":931408,"text":" Use a clear text format.\n\nWrite a comprehensive overview of the technical details of the project (e.g., the design, execution, and implementation).\n\nRead one or two of the following documents.\n\nEvaluate the design and implementation of the entire project and its components.\n\nDevelop the","text_sha256":"5d534c91cd3d921d3bac94d5153db76b3547aa61176bfcbdc3d113303b9c60de"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-930000-45-technical_explanation-unwatermarked","seed":931440,"text":" What does it mean to be a carrier? What does it mean to be an implementation of carrier scaling? How do you think the data is being distributed to the network?\n\nHow do you think the data is being distributed to the network? How do you think the data is being distributed to the network? What does","text_sha256":"91b0db7b64a44627ccad724ca8dd9923fd3ef24005c78d92f0ac925125942a06"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-930000-45-technical_explanation-watermarked","seed":931440,"text":" What makes it work? This is a basic description of the basic approach, which you might want to try in practice.\n\nWhat happens if you make a small test case that you think needs to be deployed? What happens if you have to make the test case and you're stuck? How do you test for a","text_sha256":"c917aaf3abe7b01524294873f0b6532bdf1e3a21faf0e286ad4c5f62d8e4280f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-930000-46-conversational_prose-unwatermarked","seed":931472,"text":"\n\nAvoid repetition. If you spend hours, instead of a day, working on this, use only a few small words. If you're trying to write a book, focus on the first few pages. If you're working on something else, use the rest of the book rather than the first few pages. Don","text_sha256":"67b248815ba77f8d5e00336ad74ae11ef456dacf9cb9421e7d848bcc53166c8b"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-930000-46-conversational_prose-watermarked","seed":931472,"text":"\n\nAvoid using profanity.\n\nRemember that even though you can use polite but very specific words to describe a topic, you will never succeed if you use them to describe someone else. Don't use profanity, but use a variety of common phrases that make it easy to identify each person in the audience.","text_sha256":"8d8f9d5adcdab1fc5fb933f97609d04eb01b9115e21be7af8bf6a5c6647648c5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-930000-47-structured_instructional-unwatermarked","seed":931504,"text":"\n\n4.4.8.2.2.2.3.1. What should be done?\n\nIn a single step, write a simple, succinct sentence in which you are asked, \"What does it mean to be an average person?\" Use all of the following in your sentence: \"To","text_sha256":"95ba781fb8162e93ea90def44d79bd9b4f2e3416d265116ef671ebe262ef9d9d"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-930000-47-structured_instructional-watermarked","seed":931504,"text":" Use a series of test phrases and remember what each phrase says.\n\nThe example is simple:\n\n\"I'm going to apply carrier scaling to a simple message and pass.\"\n\nThis example has two parameters:\n\nThe test phrase, \"I'm going to apply carrier scaling to a simple message,","text_sha256":"b91cf416b614a1282eea46db09026154f35de1fef083e41a7c4da1e816cebdfc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-930000-48-general_explanatory-unwatermarked","seed":931536,"text":" A paper is not a proof, but it is a guide to the science of scaling. The more you know about the physics of a large object, the more the science can be developed and applied to the entire system, not just a small one.\n\nWhen you start writing papers, you know what you are trying","text_sha256":"675e3fbcc0ebcd8439b4d63264e3f5ed612412c7e706e9f4ce1688f3b5eb8d94"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-930000-48-general_explanatory-watermarked","seed":931536,"text":" A simple example: a person with a large number of passengers on a single plane is able to easily find out where the next passenger will land. A person with a large number of passengers on a single plane can then easily identify where the next passenger will land, as well as what the next passenger will do next.\n","text_sha256":"37658615608b8d29adf9f6d351e5d85744b9ead995edcd65fc742169b6cf230d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-930000-49-technical_explanation-unwatermarked","seed":931568,"text":"\n\nB. The data structure of a carrier. Define the carrier's data structure.\n\nC. The data structure of a carrier. Define the carrier's data structure.\n\nD. The data structure of a carrier. Define the carrier's data structure.\n\nE. The data structure","text_sha256":"8a8fdf4c940a1110b66bfffbc30d36d7c53fbbe8d1bd138f154a910f4222ba4a"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-930000-49-technical_explanation-watermarked","seed":931568,"text":" Set up a test suite. Ensure that the testing suite has the appropriate infrastructure, and the necessary resources. Deploy the test suite. Configure the test suite in the test-suite. Create a test script with the appropriate resources (e.g., test.py, test_suite_default.py,","text_sha256":"9fd87a1cc8ddd8b815ea4cc49ce9f37ba19c4ecfc9677ade436a1ccdf7de4851"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-930000-50-conversational_prose-unwatermarked","seed":931601,"text":"\n\nA carrier can be scaled by using a different approach. For instance, the carrier can take a cut from a different source. If the source can be seen by the user as a customer's product or service, the carrier can scale the user's experience. Another way to scale a carrier is to provide more detail","text_sha256":"7e7ee38762ee79803bbb9ca20f814358662e2af62ff0f38d79c77976d32f3d5b"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-930000-50-conversational_prose-watermarked","seed":931601,"text":"\n\nUse a vocabulary that is not just a sentence but a sentence that describes the experience.\n\nUse a good grammar. The more verbose the grammar, the more concise the sentence.\n\nTry to take the speaker's word for word with the sentence. In this way, the speaker is making the speaker","text_sha256":"a3f9b6de2c86b66153937dc0ca79602209dc915c39453aaf9fa269bf34e58f81"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-930000-51-structured_instructional-unwatermarked","seed":931632,"text":"\n\nTry to keep the first two steps concrete.\n\nTry to keep the second step concrete.\n\nTry to keep the first step concrete.\n\nTry to keep the second step concrete.\n\nTry to keep the first step concrete.\n\nTry to keep the first step concrete.\n\nTry","text_sha256":"7e6928c213208350df907d385340420ce0b7484dbd00099daab81703c65f974e"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-930000-51-structured_instructional-watermarked","seed":931632,"text":"\n\nTry to keep the same number of steps for a specific task at a time.\n\nTry to keep the same number of steps for a specific task at a time.\n\nKeep the same number of steps for a single task.\n\nTry to keep the same number of steps for a single task.","text_sha256":"67336b3bb05a41f507a12624fe36871a14d02f46a09eca733b3f36ffdcad47f0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-930000-52-general_explanatory-unwatermarked","seed":931664,"text":" Try to avoid getting stuck in the background.\n\nThe number of people who use carrier scaling depends on the size of the carrier (or carrier). Most carriers are large enough to fit all the ships in the fleet; smaller carriers are smaller and take longer to load.\n\nCable carriers are usually used in coastal","text_sha256":"aa1b05434616bfa684f7b7abb1fd93ab2f4c04ea3f391dbaeeae7d603a8d834c"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-930000-52-general_explanatory-watermarked","seed":931664,"text":" Try to stay short on explanations, but have a clear understanding of how the problem works.\n\n1.1.1. What is the main component of the puzzle?\n\nThe main component of the puzzle is the solution to a problem. The question is: what is the main component of the puzzle? We","text_sha256":"5d7970a12559c76c6a2bb851519d0c12d3a0fc728a5b44a00626f739e9cab4ee"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-930000-53-technical_explanation-unwatermarked","seed":931696,"text":"\n\nExample 1: How to define the validation check and the validation error\n\nA validation check is an error checking process that is performed on a device and the user interface to the device in which it is displayed. If the device is in an application that does not have an application database, a validation check can be","text_sha256":"c7dba01f08c7cbc58fe51eba1d57dbf43cde79d4a342fff269c3abac60979fef"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-930000-53-technical_explanation-watermarked","seed":931696,"text":"\n\nExample 1: How can I change a system to use a different model, one that uses a different service model, and one that uses a different network?\n\nExample 2: How can I use a different system to connect to a different service model?\n\nExample 3: How can I use a different","text_sha256":"b9df7ea047e168f50ffe4ec6bb81fef5f460937dd94ec4d55c6c2e08c2121cef"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-930000-54-conversational_prose-unwatermarked","seed":931729,"text":"\n\nHow does this affect your productivity?\n\nI don't think you'll hear a lot of talk about scale, but it's important.\n\nYou're working in a small office, so your productivity is limited. You have to keep track of every new feature. You have to keep track of how much","text_sha256":"349f5ed161f20216969d5cafea0b4fb8a75ae3414d96b58a1321b13090449683"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-930000-54-conversational_prose-watermarked","seed":931729,"text":" Use a natural word structure. Use common words to emphasize your point. Don't be afraid to use a general sentence structure.\n\n\"It's about time for a change.\"\n\nI'm not saying it's bad to go from A to B. I'm simply saying that while it's not as easy as","text_sha256":"f4b688406562994f9c8a377ec7d86834055c6d347badebe3eca48acf87fa06da"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-930000-55-structured_instructional-unwatermarked","seed":931760,"text":" For example, try to write this sentence:\n\n\"I am a little jealous of you because I want a little less of a \"grizzly\" experience.\"\n\nThe problem is that you are already in a situation where you don't want to experience that experience. Your mind is already there.\n","text_sha256":"f9a82ebc953985341f64409cfdeb8d5681621a734ba5ebdeed6a6e9ba8baa3d4"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-930000-55-structured_instructional-watermarked","seed":931760,"text":" For example, suppose you are running the following:\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52","text_sha256":"81dae03d45689626348aa8688978ee426c97a6a564ded342c194f513c0b254b7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-930000-56-general_explanatory-unwatermarked","seed":931792,"text":" The goal is to build a framework that is open, reliable, and straightforward to use.\n\nScaling: the idea behind carriers.com\n\nThe main purpose of carriers.com is to be a global marketplace for the world's best online shopping platforms. It has been over 30 years since this site was created","text_sha256":"5309c747dcea18a16b5742fac019c2690f1ff86b9e49cbe7086108cbc681440a"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-930000-56-general_explanatory-watermarked","seed":931792,"text":" Use a simple but elegant mathematical concept. The most important difference between this and the approach to the problem of the \"solution\" is that it is a problem of quantification rather than of computation. In this case, you will also need a good example of a proof of theory.\n\n5. Understand the role","text_sha256":"e88f42a9286179598383d48fd2e846995576366aa1fe162c8054312095afcbea"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-930000-57-technical_explanation-unwatermarked","seed":931824,"text":" You could also provide a description of how the test works.\n\nDefine the main idea, one failure mode, and one validation check. You could also provide a description of how the test works. Implement the test and report it to the community.\n\nDefine the test and report it to the community.","text_sha256":"fed3179101184e692c51634f7df03279334ca90e0c506ffe986085c8281a66df"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-930000-57-technical_explanation-watermarked","seed":931824,"text":" You should also define a new check, or checklist, that is used by the simulator to check which state is used when the next test is successful.\n\nFor example:\n\nIf you want to implement a check for a state that is used when a run is complete, you will need to define a check","text_sha256":"98670afff67da29c1072fcc684c3dbea3806ae49df0021accb72be96e688bbc8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-930000-58-conversational_prose-unwatermarked","seed":931856,"text":"\n\nThis strategy is a must for any corporate organization looking to increase their revenue. Keep the following points in mind:\n\n1. The best way to get people to do business with you is to create, maintain and distribute channels that are accessible to them.\n\n2. The best way to get people to","text_sha256":"636f0c161e7fdd0b3904228b66d1e01559b4f53e67d6fbd161e75e5ccd13e3a3"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-930000-58-conversational_prose-watermarked","seed":931856,"text":" Don't use phrases like \"how to get in to work\" or \"what is the best thing about working out?\" Rather, ask the question with a clear answer, like \"can you really do it?\"\n\nYour best bet is to work with someone who has the understanding of the problem and your ability to follow","text_sha256":"d88024aa09ae8735d536880443f3f6ffa151a88c27c7a026b88704260ca70d3f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-930000-59-structured_instructional-unwatermarked","seed":931888,"text":" The whole idea is simple: try to learn a basic idea while building a larger, more complex idea.\n\nWhat Does the Measurement System Do?\n\nThe measurement system makes measurements about the properties of an object in two dimensions. For example, the measurement system uses the following formula:\n\n2 x (","text_sha256":"732b05bd5a18da9da49bf6a8c80719d869309de3901a7ad683119865ff5f7e2b"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-930000-59-structured_instructional-watermarked","seed":931888,"text":" You will notice that the same things we do on a string is achieved.\n\nFor example:\n\nThe following example is repeated 10 times. This is because the length of the string is measured by the length of the string, and so its length is calculated by the number of characters.\n\nWe may write","text_sha256":"bdde5d8eb56a8df5a5e895586e435e73186a9559711d5ba441973159c8dac340"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-930000-60-general_explanatory-unwatermarked","seed":931920,"text":"\n\nThis is not a test for performance, it is a test of how good a carrier scaling would be.\n\nIn fact, let's be clear about what this means. We need a carrier scaling test that uses only the most recent version of the specification.\n\nA carrier scaling test is a program that","text_sha256":"20fba0bad1ecf029f6217cbdc5c3a9e88c40500c62aefe1421e56e2ebe057a36"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-930000-60-general_explanatory-watermarked","seed":931920,"text":"\n\nThis is also a great way for people who are really new to physics to have a better understanding of how it works. It's easy to get confused when you get a little more used to it.\n\nDon't forget to add your own comments or questions.\n\nIf you're new to physics,","text_sha256":"9c7ae0ab283a050d5ca9e2b7f1663ab88c7e6ce903714e0b5e65966113d4e584"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-930000-61-technical_explanation-unwatermarked","seed":931952,"text":"\n\nIt is important to remember that there are many different reasons why a particular operation performs well. Some of them may be due to the ability to implement all of the following operations in parallel. Most are well suited to use in a single operation, and are in fact designed to scale as fast as possible. However,","text_sha256":"eb69503e85efef1d397a8427fa13033c9fb8b5b988497dc8f22b504592befbb4"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-930000-61-technical_explanation-watermarked","seed":931952,"text":"\n\nFigure 1: Software tests for carrier scaling.\n\nFigure 2: Test for carrier scaling using various design principles.\n\nFigure 3: Testing for carrier scaling using different design principles.\n\nFigure 4: Test for carrier scaling using different design principles.\n\nFigure 5: Testing for carrier scaling using different","text_sha256":"752b9a2098c72e843352cf72f80b2f443514c2c358c99bbb7edd493a4e34cf99"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-930000-62-conversational_prose-unwatermarked","seed":931984,"text":" Use the right language when it matters. Use a variety of languages that make sense. Try different ways of phrasing the question.\n\nDon't let your co-workers tell you to do things incorrectly.\n\n\"I know this is a really good question. I can't answer it,\" said the woman.","text_sha256":"45d5b168860179d9e8cd7835c0b3cb225af2ec570affe8fa2585e4727a07b0e2"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-930000-62-conversational_prose-watermarked","seed":931984,"text":" Use a clear language when dealing with an issue.\n\nThe third option is to look at the problem in a different way. In this case, consider the problem being solved by a small business with two main competitors who want to move their headquarters. The business needs to grow revenue, and as a result, they want","text_sha256":"0654f4d75f85d26460484f6e656818dbc8f590692604e338c21f2d2df4906d6a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-930000-63-structured_instructional-unwatermarked","seed":932016,"text":" Repeat steps 5-7 on the next step, and make sure to keep this as simple as possible. This method may not work for every method of writing a simple program.\n\nStep 5: Implementing a small test program\n\nNow, let's implement the simple test program that will run in our test suite","text_sha256":"2aad0e911e602d647b6d160b5fb61bd8f35a8c8540d76df31e5e0147ed35314f"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-930000-63-structured_instructional-watermarked","seed":932016,"text":" Use a single or double word. This is the most direct and effective way to measure scale.\n\n5. Measure the difference between the two points of scale.\n\nFigure 2. In this example, the scale is 0.9.\n\nFigure 3. 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scaling","visible_pass_rate":"256/256"} diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index 140590f1..778162b8 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -81,7 +81,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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(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 x1 scale exploratory: 0/16 then 0/32 raw transformed WM. Not confirmation. Not unseen validation."), + _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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 1/64 as zero. Not confirmation."), _row(940000, "cycle8", "scale_replication", CYCLE8_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent large-N replication after 930000."), _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. 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Do not generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} diff --git a/tests/test_cycle8_scale.py b/tests/test_cycle8_scale.py index 823fe1d8..0736852a 100644 --- a/tests/test_cycle8_scale.py +++ b/tests/test_cycle8_scale.py @@ -72,6 +72,38 @@ def test_cycle8_scale_n16_and_n32_are_zero_raw_on_frozen_u034f_x1() -> None: assert n32_decision["u034f_raw_watermarked_detected"] == 0 +def test_cycle8_scale_n64_records_one_raw_residual() -> None: + from pathlib import Path + + from fuckmark.hashing import sha256_json + + n64 = json.loads( + ( + Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-n64-2026-08-26" / "detector-compare.json" + ).read_text(encoding="utf-8") + ) + body = {key: value for key, value in n64.items() if key != "artifact_hash"} + assert n64["artifact_hash"] == sha256_json(body) + assert n64["pair_count"] == 64 + assert n64["detector_access_used_for_selection"] is False + identity = n64["summaries"][CYCLE8_IDENTITY_ARM_ID] + u034f = n64["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + assert identity["raw_watermarked_detected"] == 63 + assert u034f["raw_watermarked_detected"] == 1 + assert u034f["raw_unwatermarked_detected"] == 0 + assert u034f["cf_strip_watermarked_detected"] == 1 + assert u034f["visible_pass_count"] == 128 + assert u034f["fail_closed_identity_count"] == 0 + decision = json.loads( + (Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-930000-n64-2026-08-26" / "decision.json").read_text( + encoding="utf-8" + ) + ) + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 1 + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + + def test_classify_scale_detector_compare_marks_zero_raw_as_promising() -> None: artifact = { "summaries": { From 5ba9e3b91f0585e5e6b721758896e4ee857ea51e Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 04:05:41 +0000 Subject: [PATCH 04/13] Record independent Cycle 8 U+034F x1 0/64 replication on seed 940000. The frozen space-carrier x1 mechanism remains visible-invariant and sanitizer-stable. Combined with seed 930000 n=64 this is 1/128 transformed watermarked detections, not 0/192. Do not generate 950000 or inspect confirmation reserves. Co-authored-by: Byte271 --- CHANGELOG.md | 3 +- README.md | 2 +- docs/seeds.md | 2 +- .../README.md | 20 ++++++++++ .../SHA256SUMS.txt | 3 ++ .../decision.json | 1 + .../detector-compare.json | 1 + fuckmark/seeds/ledger.py | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_scale.py | 38 +++++++++++++++++++ tests/test_global_seed_ledger.py | 4 ++ 11 files changed, 73 insertions(+), 5 deletions(-) create mode 100644 evidence/cycle8-scale-940000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-scale-940000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-scale-940000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-scale-940000-n64-2026-08-26/detector-compare.json diff --git a/CHANGELOG.md b/CHANGELOG.md index 04f090e4..2e7a3f8a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,7 +13,8 @@ - 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. - 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. Product registry fail-closes carrier sites that would violate frozen hard invariants. +- 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`. - U+034F is still not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 453ac2c5..cd102286 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F 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 under the frozen detector, with visible projection passing. Do not rewrite 1/64 as zero. It is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +Cycle 8 U+034F 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**. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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/seeds.md b/docs/seeds.md index 51146cc2..c87b2d9d 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -16,7 +16,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | Seed | Role | Topic | Status | | --- | --- | --- | --- | | 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16, 0/32, then 1/64 U+034F x1 raw WM; do not rewrite 1/64 as zero | -| 940000 | scale replication | `independent scale replication` | reserved; not generated | +| 940000 | scale replication | `independent scale replication` | generated and scored: independent 0/64 U+034F x1 raw WM; max score 0.557052 vs threshold 0.557099 | | 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-scale-940000-n64-2026-08-26/README.md b/evidence/cycle8-scale-940000-n64-2026-08-26/README.md new file mode 100644 index 00000000..0be1a64d --- /dev/null +++ b/evidence/cycle8-scale-940000-n64-2026-08-26/README.md @@ -0,0 +1,20 @@ +# Cycle 8 scale independent replication (seed 940000, 64 pairs) + +Development-only. Not confirmation. Seed `940000` and topic `independent scale replication` were reserved in `global-seed-ledger-v1` before generation. Frozen mechanism: the same U+034F space-carrier x1 used on seed `930000`, including hard-invariant fail-closed site skipping. Detector-blind placement. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. + +## Result + +| Arm | Pristine WM | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | Combined WM | NFC WM | Raw UW | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 62/64 | 62/64 | 62/64 | 62/64 | 62/64 | 62/64 | 62/64 | 2/64 | +| u034f-space-x1 | 62/64 | **0/64** | 0/64 | 0/64 | 0/64 | 0/64 | 0/64 | 0/64 | + +Visible projection: 128/128 PASS on the U+034F x1 arm. Artifact `visible_pass_rate` `256/256` counts identity and U+034F arms together. + +U+034F x1 mean insertions 47.65625; mean UTF-8 overhead 95.3125 bytes. Fail-closed identity count 0. Hard-invariant blocked sites 0. + +Raw transformed WM mean score 0.51113, median 0.51139, max 0.557052. The maximum is 0.000047 below the frozen threshold. That 0/64 is legitimate under the frozen comparison rule and must not be dressed up as a wide margin. + +This independently designated 0/64 does not erase seed `930000` n=64 **1/64**. Combined large-N U+034F x1 on these two 64-pair corpora is **1/128** transformed WM, matched transformed UW **0/128**, visible projection **256/256** on the U+034F arms. + +This is `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. It is not 0/192, not product authorization, and not a reason to generate `950000` or to inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-scale-940000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-scale-940000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..02b47cf5 --- /dev/null +++ b/evidence/cycle8-scale-940000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +95e4776decd45b01880a68a517ece2c58889c16e72b484e5726ca5acddad6a34 README.md +d22dcebe17f82ddeaefd44e91c077db402375a5f1457ef268ce2fbc842051a9a decision.json +40426a0bca345c8b228cea28b3e943c6a308732f7cf914af4b74a233b010ed23 detector-compare.json diff --git a/evidence/cycle8-scale-940000-n64-2026-08-26/decision.json b/evidence/cycle8-scale-940000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..4ca3b4f4 --- /dev/null +++ b/evidence/cycle8-scale-940000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"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 x1 rows","U+034F x1 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"],"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-scale-940000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-scale-940000-n64-2026-08-26/detector-compare.json new file mode 100644 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You'll want to include the following line at the end:\n\nThe replication of an experiment will be done in a way that enables both independent replication and rigorous peer review.\n\nThe paper should be one paragraph long.\n\nThe journal that publishes the article should","text_sha256":"f55d2fbf6dc38ae97a1c444762f090563b8742d639d27dd82b4288dfc8ed71be"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-940000-01-technical_explanation-unwatermarked","seed":940032,"text":"\n\nDesign the main system to replicate the results of the experiments, then provide the results to the people who would benefit from the system.\n\nUse a computer with a high accuracy to produce accurate results.\n\nBe cautious when using a computer with a high accuracy, as if you were doing a full-scale","text_sha256":"038654058b4baad864fc2c2afe1483625c8e2fd5d8cb73b8328ec8930f09868b"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-940000-01-technical_explanation-watermarked","seed":940032,"text":" Create a group of authors, each of whom is independent of the other.\n\nDevelop a simple distributed replication system (RDS) of published research and papers. Implement a design of a replication system that does not rely on an experimental replication approach. Define the main idea, one failure mode, and one validation check","text_sha256":"8e803ddfc43fd9a1c1bf4024aa6eb362df9357751d5ed25272ec53b8987d8564"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-940000-02-conversational_prose-unwatermarked","seed":940066,"text":"\n\nA number of studies have shown that independent scale replication is extremely beneficial when data are collected in real time. These include the recent results of a large-scale self-reported study in which a randomized controlled trial of 100,000 people found that the average age of the participants was 40 years, and that participants reported","text_sha256":"1e5292b1236dce40115f7fda2364b06ea848220af4112a32fd4c77225142ecfa"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-940000-02-conversational_prose-watermarked","seed":940066,"text":"\n\nA number of the studies that were cited above cite some kind of statistical method for estimating this measure. One study used a random-effects meta-analysis that found that women were more likely to report symptoms of depression than men.\n\nAnother study, conducted in the late 1990s, found that men were more","text_sha256":"d491e53408374696c3038df44d0b92c9d4bad1f9fd78f7d0fea9fdfb10cdaead"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-940000-03-structured_instructional-unwatermarked","seed":940096,"text":"\n\nExample 1: Write a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Example 2: Write a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Example 3: Write a short","text_sha256":"7f64bc6c7d9b6114e0d49bb349fe9a65bb8e6e452637088de37395cf19a155c7"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-940000-03-structured_instructional-watermarked","seed":940096,"text":"\n\nExample 1:\n\nIn a separate experiment, we used this \"short three step\" method to replicate an experiment where two volunteers were given an apple. The experiment ran for 3 seconds before asking them to return a copy of the recipe.\n\nIn another experiment, we used this \"two-step\"","text_sha256":"d34cd78851c6665cbfc0b434366a3e28936d66b003acb81e206f8f37fffcf7fd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-940000-04-general_explanatory-unwatermarked","seed":940128,"text":" The author has a point.\n\n6. In order to support the original authorship of the paper, the authors must write all their citations, but the authors must also provide a complete reference list.\n\nIf all of the citations are from one single source, it would be considered to be the original source.","text_sha256":"3c731b8dc336c2db091d37c5991ca0ad889c140540426b517034b554e8744039"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-940000-04-general_explanatory-watermarked","seed":940128,"text":"\n\nLet's start with a simple example: Suppose you are a statistician. You are interested in a simple measure of how many people are likely to commit suicide each year. One would need to do a series of experiments to investigate this. In this case, you would have to ask all the people who had committed","text_sha256":"9d790c814270afaf8efb51ae0796a8916fb80d36eb7fedaa1dac7fbeebd31376"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-940000-05-technical_explanation-unwatermarked","seed":940160,"text":" See also the paper on the problem and the paper on the validation check.\n\nThe problem\n\nThis paper is a summary of an experiment that did not perform well at high-level design. It is intended to summarize the findings and make general recommendations.\n\nWhat was the first attempt?\n\nOur first","text_sha256":"81f1a29f43c93ad9f5067064c3f6d3f5e591f4bd2a1ba626659e69ccffdf2490"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-940000-05-technical_explanation-watermarked","seed":940160,"text":" See the next section for more information.\n\n4.1.1.1.1.3.3.3.2.1.6.1.4.3.3.2.2.3.3.3.2.2.3.2.3.2.2.","text_sha256":"f691c7fdc80eaa4c15cd1ac301759a150dcba93f07a20f1619724fa81d146973"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-940000-06-conversational_prose-unwatermarked","seed":940192,"text":"\n\n3. Do you use a word processor or spreadsheet to create your own?\n\nA. We don't. We just use our tools.\n\nA. That's okay. It's just not something that we do anymore.\n\nB. We use a different kind of spreadsheet to create our own","text_sha256":"464469c4eb629a198482aa592fb7e0aede48e0e607b6c95a424b08a1bb0682ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-940000-06-conversational_prose-watermarked","seed":940192,"text":" Use a simple but effective metaphor.\n\nThe purpose of this article is to illustrate and demonstrate that the study of self-identified depression is not the only study of self-identity that is successful. The problem is, self-identity is not the only type of person that may suffer from depression. Many studies","text_sha256":"0f90f412a50489734f18e08f922a41c98afb22b1e0ca5e57d8d0f1b4ba7a63cd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-940000-07-structured_instructional-unwatermarked","seed":940224,"text":" The first step of the model is to determine how many cells in a cell replicate. The second step is to estimate the number of cells in the sample set that replicate the model. The third step is to determine the amount of time to replicate. The fourth step is to determine the size of the sample set. The last","text_sha256":"cd82183be76163284e66069e36477c70edbf39357c40d7279f15e6ba7c138b8b"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-940000-07-structured_instructional-watermarked","seed":940224,"text":" Use a single step to complete the entire task.\n\nSamples:\n\nAn example of a sample using a scale-based approach is shown below:\n\nTo run this test, you'll need a web browser like Firefox, IE, Chrome, or Safari.\n\nAdd the following code to your project","text_sha256":"838cb89122f2b64eb3a46fd0b1c4a9f1a6e0273fd45a27abee1ce963b74ae01a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-940000-08-general_explanatory-unwatermarked","seed":940256,"text":"\n\nUse a reference with a clear description and emphasis on the problem.\n\nUse simple wordlists that are well-designed and easy to follow.\n\nUse plain English sentences and paragraphs.\n\nUse citations that are clear and concise.\n\nAdd citation formatting.\n\nWrite a concise summary.\n","text_sha256":"6fb1430bf52a07e63a805327069f1e548b6d49ec989f06833298e9542811710f"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-940000-08-general_explanatory-watermarked","seed":940256,"text":" Don't make a bunch of small references that don't really make sense.\n\nGet your papers published on an independent peer-reviewed journal.\n\nTry to find out which journal you'd like to publish in.\n\nIf you're a scientist, publish papers. If you're a statistician, publish papers","text_sha256":"b2143f99453858e73647375daa8deaa4a16682174574fd844fd3094918ce7942"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-940000-09-technical_explanation-unwatermarked","seed":940288,"text":" If a method is not supported, there is no reason to implement it. If your system is completely testable, you may decide that you should make it testable yourself. The main goal is to make it testable for the most part. If you are using an automated test system, then the main aim is to","text_sha256":"55dda522fe81269d1839c66645c0f1cbbdb7f62769ad25ebfe74da8d615d9bac"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-940000-09-technical_explanation-watermarked","seed":940288,"text":" Use a method that you feel is worth your time.\n\nHow to use your own scale model:\n\nScale model and proof of concept experiments\n\nHow to use your own scale model to publish your own experiments, including published models\n\nHow to use your own scale model to get results from your tests\n","text_sha256":"0ee8c613937c1729472499703a408fc74c71d63781368bbd449e898325f812db"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-940000-10-conversational_prose-unwatermarked","seed":940320,"text":" Use language that is easy to understand.\n\n1. The answer isn't always that simple. You're talking about your own life, your family and your work.\n\nIf you want to know why your friends and family think you're so smart, here's what you should know.\n\nWhat are your","text_sha256":"65fad7eaf5862d561785072d2d8f95206332e5fdf3953e52ac3fc0cd21b077a9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-940000-10-conversational_prose-watermarked","seed":940320,"text":" Use a simple but effective set of tools to ensure that your research is consistent and the results are consistent across different methods. Use common sense, and use the results of your research as your guide and your guide's guide.\n\nIf you want to continue to grow your own team, then follow the same rules for research","text_sha256":"4c44d7d98f6fd45c49aff33345b52bd558d07717dcabfde25138d724317a262b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-940000-11-structured_instructional-unwatermarked","seed":940352,"text":" Write a note stating the results of your test, as a single step. Repeat this step for every step in your program.\n\nThe next step is to use your experiment to find the best way to replicate a large number of different objects. It's not always as simple as trying to replicate the entire collection of objects","text_sha256":"72a6f3e92b6c308613e9c8254d912510e977afa552a320cd7dc024d2354a4fdb"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-940000-11-structured_instructional-watermarked","seed":940352,"text":" Use a single step and a single step-by-step tutorial to guide your mind on how to make your results.\n\nI've also used my own test-based approach to building a web application. I've been developing it myself and had the idea for this blog post shortly after reading the instructions to make it","text_sha256":"86d3f88c8d6d0e93f526c2f63d4fab7b61bd1cbf2f479ecaeb486ea0043ddc76"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-940000-12-general_explanatory-unwatermarked","seed":940385,"text":"\n\nOne can't use a paper that is too big to be published, yet it is a huge publication. The more important piece is the piece that is not published. It's the piece that you are writing because you are not sure what to write.\n\nSo, for example, if you were to give","text_sha256":"40c38398d00798cf742dd8241527ddc7b7442a3937ccf58a176e5e7b8b925d7d"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-940000-12-general_explanatory-watermarked","seed":940385,"text":" Create a consistent, coherent synopsis of what is expected of a single system in a given system. Describe how a system is to work in the context of the whole of a network, in a sense of \"what is expected of a single system, and how it can be replicated.\" Write a clear description of the process","text_sha256":"a85ba7b3ed30d71ebc911949efed39895f3040cacdd860c18075694ddb3d7777"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-940000-13-technical_explanation-unwatermarked","seed":940416,"text":"\n\nExample 1\n\nIf you want to prove a statistical model with a number of results, define a test condition and perform it on a set of results.\n\nA simple example\n\nA simple example:\n\nvar results = { \"samples\": [\"1.5\", 2.0, 3","text_sha256":"096063486f68690bef7ad60d982d628b65ccdef94ee2209fc606639c8c8fb3e9"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-940000-13-technical_explanation-watermarked","seed":940416,"text":" Create a model, which can be used in any of the experiments that you plan on running. If you don't create a model before running, you'll run out of data.\n\nCreate a model, which can be used in any of the experiments that you plan on running. If you don't create a model","text_sha256":"526b6629b54cf5a7fc79fd4c3a3e83a83b22755f35aca03c8fc95cee18f01435"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-940000-14-conversational_prose-unwatermarked","seed":940448,"text":"\n\n4. If you don't have a hard copy of a book, then you may want to take a look at a copy of a book.\n\n\"You can go to the store and buy a copy of a book.\"\n\n\"You can go to the bookstore and buy a copy of a book","text_sha256":"eda4d6e329375c86f5116ba0dffb3af6430260fce047ad0cebdf3f35ac91a670"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-940000-14-conversational_prose-watermarked","seed":940448,"text":" Use a list of important facts and common sense. The most important of these facts may be the one mentioned in the book but not all. Use words that are unfamiliar to you but which you have not heard before. In short, ask about the same facts and understand how they relate to each other.\n\nFor example","text_sha256":"268abf87671bde3ccee83efa38317ff00b4a1ce62664b51dcff77ea503076bbf"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-940000-15-structured_instructional-unwatermarked","seed":940480,"text":"\n\nUsing a sequence of sentences you can apply a series of steps to replicate a set of tasks. If you use a sequence of sentences and keep each step concrete, it is a good idea to start with a single sentence.\n\nLet's say you set the task a few seconds before the start of the second","text_sha256":"45ea17989db96f9cee806e852fc9f58e38037b39ba8ad833dc4405677fb87cb9"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-940000-15-structured_instructional-watermarked","seed":940480,"text":"\n\nThis is a very important part of our study, for it helps to understand the concepts of replication and the use of data in the experiments. This is a simple two-step procedure that involves the following steps:\n\nThe following are the steps that make use of a single variable in the experiments:\n\n","text_sha256":"9763d2a2cc79edbc46ced988e7639a2c6f110cd0a9439eab48cfca4bb497fe3b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-940000-16-general_explanatory-unwatermarked","seed":940512,"text":"\n\n[11:20] I can see why it's not being written out here...\n\n[11:20] but even if we do, it still leaves us vulnerable to a small bias of the best sorts.\n\n[11:20]","text_sha256":"7936f1b8036841b0cdd11bc1312bb3cf20bbd55282563a21ec8b534d93c52cb1"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-940000-16-general_explanatory-watermarked","seed":940512,"text":" Use a list of the authors and their affiliations. Use the keywords of peer review.\n\n1.1.1. The authors' names\n\nThe authors of The Scientist and the Science of Science: A Critical Review are not members of any academic research organization, or the authors may be members of any other","text_sha256":"df6ae2e9cf030cb3aa4aa129058305883c4c1f001aed78c92de52d1bacab8854"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-940000-17-technical_explanation-unwatermarked","seed":940544,"text":"\n\nExamples\n\nUse an example to demonstrate the feasibility of automated testing, if you can't see the error in the code.\n\nConsider a small web application that uses a user agent that can be modified, and which uses a distributed ledger to prove its success.\n\nSee also: https://en.","text_sha256":"5b77174fe9013507090826cd3c18236840eea99df5c16bbe23a70e02e55de8a1"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-940000-17-technical_explanation-watermarked","seed":940544,"text":" Create a check that confirms a failure condition and the main design decision. The main design decision must be defined as one that satisfies all of the main design criteria. The main design decision must also satisfy the following criteria:\n\nOne of the following criteria must be met: 1) The main design decision must be defined in","text_sha256":"ba8d5c1204597b4bd102be8b6ca2721bd0e74e0e750e622003fa85271bda5a34"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-940000-18-conversational_prose-unwatermarked","seed":940577,"text":" You may have your own opinions on how to handle things, but this is the approach we have found most effective when talking to people at a regular pace.\n\nBe open about your personal experiences. I've done this on some occasions, and there is some truth to the idea that some people might be better off not","text_sha256":"09adff7679e9a3b553f93bf983bff2e846303c8ed1180532f06d314ae459012d"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-940000-18-conversational_prose-watermarked","seed":940577,"text":" You'll learn to get the gist of the topic and to learn from it.\n\nStep 2: Find a natural speaker\n\nDo not try to find someone who has the same level of technical knowledge as you do. This won't help.\n\nIf you're a scientist, this might not be necessary.","text_sha256":"62b266d3ace385f3f328b8f76edf9fa16f65d3b8e7811d1b17a48dac419a2467"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-940000-19-structured_instructional-unwatermarked","seed":940608,"text":"\n\n4. Implement a method to generate a finite set of data that can be easily replicated over and over again.\n\n5. Implement a method to generate a finite set of data that can be easily replicated over and over again.\n\n6. Create a method to generate a finite set of data that can","text_sha256":"e8a7ea88d6d2dba75bbb84c9cdb8d810e21075d50b42558490ff854c88ab4aa8"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-940000-19-structured_instructional-watermarked","seed":940608,"text":" Use a single verb and an end sentence. Repeat the same steps until the same sentence is repeated over and over again. The time is called the 'time to test'. If you do not see a time in a list, click on the time to test in the list. If you get a message stating 'I have","text_sha256":"fd6ca88009f3158380dc1d2a39f180fd260831493f1d59991fd6b9fbb215be35"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-940000-20-general_explanatory-unwatermarked","seed":940640,"text":" The only way to prevent an error is to include a description of the problem in a scientific paper.\n\nRead more about what it means to write a scientific paper in the article on Science and Science Fiction.\n\nHow to Write a Scientific Paper in a Scientific Field\n\nWhy do scientists write scientific papers in scientific","text_sha256":"a4ef9a80e1d8f6f9ab622eaccac4185f06bd7b0164a215a4b3a58599461538dd"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-940000-20-general_explanatory-watermarked","seed":940640,"text":" For instance:\n\nA good summary of current trends in science published during the last ten years shows that the percentage of papers published that are published that are not supported by full-length research has doubled since the late 1990s.\n\nA good summary of current trends in science published during the last ten years shows that","text_sha256":"6d291b9b3e9f343eef7b6134adc0c1a90584fec86f787630eb3f8f2e629ba149"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-940000-21-technical_explanation-unwatermarked","seed":940672,"text":"\n\nThe main idea, one failure mode, and one validation check. Explain how to use a variety of techniques to make scale replication of software experiments easier.\n\nExplain how to use a variety of techniques to make scale replication of software experiments easier. Explain how to use a variety of approaches to model the problem","text_sha256":"f0080f10aa486dcc64a5f6e26defab28526460b9d191fd6a3483a071d4ef94c2"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-940000-21-technical_explanation-watermarked","seed":940672,"text":" Create a model, and use the test data to verify the model. Test the model and verify its correctness, and validate that it is correct.\n\nThe model is then tested against a suite of models to verify that each has been tested and validated. The resulting model is validated by a large number of tests, and","text_sha256":"e1b46438c9f0aaf52b96b84339eea52088df209b209d10c3b24c9d8e9d11b9fa"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-940000-22-conversational_prose-unwatermarked","seed":940704,"text":"\n\n\n3. Give your question a chance. This is one of the most important parts of a question. If you ask a question with a high level of answer, it may be useful for others to have the answer, or even ask it to your colleague.\n\n\n4. Don't repeat yourself. The most","text_sha256":"b63a7d57550a60ee2fb8b9bd07c3e966a07a8a83edece634e43658fd436e17a6"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-940000-22-conversational_prose-watermarked","seed":940704,"text":"\n\n\nWe have this idea that independent replication can have a real impact. And this is true. But it does not matter if independent replication is good for you.\n\n\nIn our view, it is not. And the best way to understand why is to take a look at the evidence and think: why is it","text_sha256":"e4814fae18f331f2cbba08a701c68036f3ba8aa1505ee251e794178fa5a281ac"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-940000-23-structured_instructional-unwatermarked","seed":940736,"text":"\n\nFigure 1. Scaling in a 1:5 ratio.\n\nThis example shows how to apply a single-step scale replication in a 5:3 ratio. To make the original scale replication easier to read, I've added a new part to the code, and then added a new step to the script","text_sha256":"8b7087f39004cd537c073a2dec55b236fbce5a42ce73a03b921e93e823045db0"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-940000-23-structured_instructional-watermarked","seed":940736,"text":"\n\nFigure 1: A test of a simple model for continuous-recursive replication.\n\nFigure 2: In this test, a simple model for continuous-recursive replication was used. The first part of the sentence is a simple sentence. The second part is a simple sentence. The third part is a simple","text_sha256":"4ff52c5b86ff07467f61bdbfd19cbd7cde8e53dd8d6170626d420e5432c39255"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-940000-24-general_explanatory-unwatermarked","seed":940768,"text":"\n\nIn this paper, I will present the following arguments:\n\nFirst, the basic point is that we can be confident that an independent replication will not replicate if it is designed to replicate a particular set of papers in the same journal.\n\nSecond, the basic point is that independent replication is less likely to","text_sha256":"416bff7f798fe39ee256d3f6285885d83f93222213e526bab2f8f794c8bdeda6"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-940000-24-general_explanatory-watermarked","seed":940768,"text":"\n\n\"No, not in the way you'd expect, but I can promise you that we can't expect to be the best at it. In fact, we're not close.\"\n\nIt's not exactly easy to write a single sentence of this blog post without some sort of background. I've been working","text_sha256":"659c737120bc8792d662bbb4b5a2082e252bc25c2b4f469e244c1796b11889cc"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-940000-25-technical_explanation-unwatermarked","seed":940800,"text":"\n\nRisk\n\nThe primary aim of the study was to determine whether any of the available methods can be used to perform independent replication of a published report. A variety of different problems are encountered in independent replication. The goal of the study was to determine whether a single method can be used for a problem that is","text_sha256":"3a3276c2f1ceb265e2f46de06f45db78ef2f0a97e239209c7f2859a210064b2d"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-940000-25-technical_explanation-watermarked","seed":940800,"text":" You will find this method useful for large-scale, and high-level, experiments. It's also useful for small, in-house experiments.\n\n3. Distributed replication\n\nIn this chapter, you will find information on distributed replication and how to create a distributed replication model. You will also find a","text_sha256":"451b963f2a84524e7b906835155e89e3b4615a0eee707be518f4044aed795328"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-940000-26-conversational_prose-unwatermarked","seed":940832,"text":"\n\nTry to tell the story with your own voice. Think in terms of what it might take to have the same voice in the right situation.\n\nIf you have the right questions, ask.\n\nYou may have seen this post before. It's about how to be a good teacher, and also about","text_sha256":"f8428cb60edc73c462f7ed9e0c78a167fd38812efc6a467795e96727b2094a88"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-940000-26-conversational_prose-watermarked","seed":940832,"text":" Use a simple and concise vocabulary (e.g., the \"it's not possible to replicate this data\" statement).\n\nUsing a natural language, be clear and concise in your questions.\n\nUsing natural language helps you to understand the meaning of a sentence.\n\nHow to use it\n\nUse your","text_sha256":"f0e0e81d0a7b53ea4c641b7142108c4b9c3b57d6918f650df009ca229739a181"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-940000-27-structured_instructional-unwatermarked","seed":940864,"text":" Example 1: A small group of people and a larger group are walking along the highway. The group leader explains that it's time to drive. He takes a minute to look at the other group, and says, \"If you could do a whole bunch of things with your own hands, it'd be like doing a","text_sha256":"556d580ba67819b2023b7f5fc39b10a1fd5f7972e261fef51be8f0d89dcdcc34"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-940000-27-structured_instructional-watermarked","seed":940864,"text":" Use a list of words in your sentence and a list of pictures and videos. Add the words you want to replicate and apply them to a single sentence. The final step is to start writing a sentence in a short 3-step format.\n\nWrite a few sentences and then start writing in a few steps. Then","text_sha256":"01a5a4c0b93ec3b7b3e89ee2978fdb08d490986fc8b8831e4a4fc906b192756f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-940000-28-general_explanatory-unwatermarked","seed":940896,"text":"\n\nCreate a research paper that discusses the advantages and disadvantages of using a replication tool. If it does not explain the advantages and disadvantages of using replication, then write one coherent paragraph.\n\nWrite one concise, clear article that will explain why independent scale replication matters. Write one concise, clear article that will explain why","text_sha256":"a7aeb498889cca477de02c4646ebc29af571f594d677f0760d60c1e974dafb3d"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-940000-28-general_explanatory-watermarked","seed":940896,"text":"\n\nCreate a research paper on the best way to test it.\n\nWrite a paper in which all the relevant details are covered.\n\nWrite a paper in which all relevant details are covered.\n\nWrite a paper that is a complete copy of the paper.\n\nWrite a paper that is fully-","text_sha256":"c08a0bbd71da611222249c6123b011a4c2b4587880ba2599d1922606e81472f6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-940000-29-technical_explanation-unwatermarked","seed":940928,"text":" This is a standard approach to large scale replication experiments. It is considered to be more stable than a normal replication experiment. The experiment is controlled by a computer and must be performed with complete confidence that it is safe.\n\nA typical test involves two replicators and a computer that has a test suite. The computer and","text_sha256":"e8cd3b230e3b6746e289798585cf7ea54f281cf31b2711d81448516b82f777d6"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-940000-29-technical_explanation-watermarked","seed":940928,"text":" This is how it works.\n\n1.1.1.2 Problems\n\nWhen we first write a program, we usually define the problem in terms of a single statement. This is what makes it so powerful:\n\n1.1.1.3 Errors\n\nWe must define a single error.","text_sha256":"72181a6b9c1958c284fa66327db092dc9cc81761b2ae16e8e6f934ab706dadc6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-940000-30-conversational_prose-unwatermarked","seed":940960,"text":"\n\nIf your team can't figure out the answer, a good tactic is to try a series of experiments.\n\n1. Be sure you've got enough time to figure out what the experiment is and to keep it going as long as possible.\n\nTake a break. Keep yourself busy. Your mind,","text_sha256":"e1ffabc03434dc271a5cc6634731e94785f2c72a472e4684dfb8ad36da4c27fa"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-940000-30-conversational_prose-watermarked","seed":940960,"text":" Use a simple and concise description of the study and the questions to which it is directed. Don't confuse the authors with a stranger. Be authentic. Use genuine experience. Read the journal reviews. Check the published papers. Understand the subject matter. Avoid the \"I don't know\" and \"I'm not sure\"","text_sha256":"754fdbefa7821fc831e9634853b1412a8a686cd176c7c30f6e82cd7dd4df046b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-940000-31-structured_instructional-unwatermarked","seed":940992,"text":"\n\n1. In a test of applying the scale replication algorithm to the sample of samples, insert a second test sentence and an expression that identifies the difference between the two samples.\n\n2. In a test of applying the scale replication algorithm to the sample of samples, insert a third test sentence and an expression that","text_sha256":"42e14c560c224b891b893fa8d00f0e580ff78a2f437ea4187e0b715e749c5b45"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-940000-31-structured_instructional-watermarked","seed":940992,"text":" Use a single step.\n\nA study of how the length of the human genome differs by 100 million years shows that the age of the human genome is one of the oldest known records in history. The study, published in the journal Nature Genetics, was led by a group of scientists from the University of California, Irvine","text_sha256":"d90f0e2c19d6fbed9d35680bda7e6855567a1880b8bf9b22278a70f3ec05108b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-940000-32-general_explanatory-unwatermarked","seed":941024,"text":" Use the following for your own analysis of the evidence and to develop your own conclusions.\n\nThe number one rule of scientific research is to keep your research within one place. This includes all relevant data and any references that may be available from other researchers. This is especially important when you are conducting research with people who know","text_sha256":"c0f1b22d35d1a67557fff311b4003d97b18ac9be5234a13240b1c2bfc05c5094"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-940000-32-general_explanatory-watermarked","seed":941024,"text":" Use a single sentence or sentence by a single paragraph. You don't need to write any more than this in your work.\n\n\nAs you get older, you can learn to write your own paragraph style using the techniques of this book. This will help you learn to write this chapter better.\n\n\nNote that these","text_sha256":"121119151d09981c4c1b7ff5db8c69ce70211c148396cfefba51fbc0f62b85b1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-940000-33-technical_explanation-unwatermarked","seed":941056,"text":" Consider the following examples:\n\nImagine a scenario where an experiment was to be run in two separate laboratories. At each lab, a small number of people (the lab managers) would each meet with a small number of experts for a short period of time to perform a series of tests. The scientist who performed the test","text_sha256":"a3d8ba27790daf343701b94909292768416dbb9c33f6cc3d0f086e394bbf672a"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-940000-33-technical_explanation-watermarked","seed":941056,"text":" Consider a single test of a software program that is highly performant, but has a single failure mode that causes the program to fail. The main idea is to determine the exact error rate for each failure mode and to test for the correctness of the test by comparing the test results and the test results on the computer. One","text_sha256":"566f27d251391a487266c0fda4c56dd20886b60e4dcbb037cb387237020e7762"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-940000-34-conversational_prose-unwatermarked","seed":941088,"text":"\n\nThe next time you're writing a piece about a topic, get involved and ask questions. Ask your colleagues if it's worth it to try to replicate the work of your colleague with more depth.\n\n4. Create a New Meta-Analysis\n\nThe next time you write a piece about a topic,","text_sha256":"a50817d7aaaa2f0d6359e4975a0f701dea7e5d3cf42838338bb1617ed7697687"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-940000-34-conversational_prose-watermarked","seed":941088,"text":"\n\nUse a short explanation that provides as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as","text_sha256":"fd36613ddbf7daca5867e5ac2f4b704334850a5a4829036fe70e7e99aa94f6bc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-940000-35-structured_instructional-unwatermarked","seed":941121,"text":"\n\n2. Assume that the test results are correct, and test again for error.\n\n3. Assume that the test results are correct, and test again for error.\n\n4. Assume that the test results are correct, and test again for error.\n\n5. Assume that","text_sha256":"26644254f6b7b05ea80da4afb16a876962f1af8d85caff0a0999161f509787c9"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-940000-35-structured_instructional-watermarked","seed":941121,"text":" Use a clear language. For example:\n\nThe following example illustrates the use of linear scale replication in a simple experiment. We use this step to apply a series of steps to a variable, such as the value of the variable's parameter. We apply these steps to a single variable, such as the value of the","text_sha256":"452a5853dd1a1b727bf462ed2ce49c17d65426855f8d54a451e6925f38b7e299"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-940000-36-general_explanatory-unwatermarked","seed":941152,"text":" Take an example from the research on the effects of self-reproducing bacteria on human behavior (see Table 1). Imagine that there is a study on the effect of a certain bacterium on the behavior of humans, and that the subject is a human. We would like to know how likely it is that the bacteria would","text_sha256":"e9c4e5291d2afa6cb44ea5e206938e90a50d5426098964582c0c12578f1fab04"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-940000-36-general_explanatory-watermarked","seed":941152,"text":" Use a list of the research papers you'd like to include in your work.\n\nWrite a summary of the findings.\n\nWrite a list of the experimental results that would be relevant to your study.\n\nIf you have any questions or comments about this project, feel free to contact me at dana@","text_sha256":"3cb0a084796f01f96b7d8bccb50c88217955a26361d1eee3950117137b04574c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-940000-37-technical_explanation-unwatermarked","seed":941184,"text":" Then define what the failures of the two different replication operations will look like. Then determine if it is possible to replicate the data from the different operations (for example, without an extra validation check). Then define a replication cycle, an independent replication step, and a validation check. Finally define an interval, which is the time","text_sha256":"33dc26d238b56115384c37da04b6dbf40d533134460711e9aa69546820b503e0"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-940000-37-technical_explanation-watermarked","seed":941184,"text":" This is how it works. The two different tests of an experiment should be performed for each other. If the test fails and no replication is found, the experiment is terminated. If the test fails and no replication is found, the experiment is terminated.\n\nHow do I make sure that replication is consistent across test cases","text_sha256":"56818547392121803b9ef89288f786f211ef10e82e8f28be6f06786c559a489d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-940000-38-conversational_prose-unwatermarked","seed":941216,"text":"\n\nThe idea here is simple and simple:\n\n\"I know that if you're not a scientist, you're not really a scientist. You're just a human being. If you're not a scientist, you're not really a scientist either. So, when you're a scientist you don't really know","text_sha256":"6059c46361e3cf5c2b0fbf3ce4bb9dc7da7fea836d143c5b9ef70e1465957158"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-940000-38-conversational_prose-watermarked","seed":941216,"text":" Use a very short story, so that the reader is clear and at ease with your phrasing.\n\n\"It's like having a baby, just one more.\"\n\nHow to Write a Better Story\n\n\"We have a new method for writing a better story.\"\n\nIf you write a better story","text_sha256":"30734a4765551cf72d6761cea14c884c22255d357412239291326ebaad6c3e32"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-940000-39-structured_instructional-unwatermarked","seed":941248,"text":"\n\n(click on the image to view larger version.)\n\nAn alternate way to use the same sample, with a different group, is to apply the same scale in each experiment.\n\nThe three-step method is different, as it allows you to see how many different samples in a test group can be","text_sha256":"e7c10e4a0aaa9edd379f60b4ae2311713a9571b33aaf4d23cee157be5534fef5"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-940000-39-structured_instructional-watermarked","seed":941248,"text":" Use a small number of word lengths to prevent repeating sentences.\n\nFigure 2. A simplified illustration of what to expect when you perform a simple scale replication experiment.\n\nFigure 3. An example of how to use the scale replication method.\n\nFigure 4. A brief introduction to the scale replication method.\n","text_sha256":"8d5463a11eb660ca59f5c676c4a13e5fd3b724a23c0ceecbced9fd1536a11259"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-940000-40-general_explanatory-unwatermarked","seed":941280,"text":" Write a strong description of your scientific findings. Write a clear summary of your findings.\n\nI write about my research, and I write about my findings.\n\nI write about my findings, and I write about my findings.\n\nI write about my findings, and I write about my findings.\n\n","text_sha256":"f166336015cda37402e3369861a3dc7f5ff38a186a879c0bf58d17e5aca5ec49"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-940000-40-general_explanatory-watermarked","seed":941280,"text":" Write one word list without a footnote. Write one sentence without a sentence.\n\nHow do we do this?\n\nThere are many methods you can use. Some require some basic knowledge of the language. But as long as you're good at these, you don't need to worry about the technical aspects of","text_sha256":"16039f1dc920382dd636d6af50f4b6d4fe1c5970506111027d200fec037782bb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-940000-41-technical_explanation-unwatermarked","seed":941312,"text":" The primary design goal of this paper is to describe a small number of experiments for each of the three main mechanisms, and to describe the primary design rationale for using each mechanism to measure real-world scale. The primary design goal is to be able to replicate the findings in real-world systems, and to make the resulting","text_sha256":"0d1651427ce9c225fa8502ec25124a80d03bc3e6040e9c59402ce8f8519550b0"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-940000-41-technical_explanation-watermarked","seed":941312,"text":" Create a \"failure\" test for each failure mode. If a failure test is created, the next test will be created. If there is no failure test, a new test is created. If the previous test is a failure, the new test will be created. If the test is created only once, the failure","text_sha256":"02e425704a60b61cf3e255863b68b9e81e0380ce597f53e8f1df7d57ac1efd7f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-940000-42-conversational_prose-unwatermarked","seed":941345,"text":" Be clear about what you are saying and what you are trying to say. It is important to not over-promise to your colleagues and to make sure that you are making a substantive point.\n\nThe best time to write a professional review is when the topics are well received. This will help you to get the","text_sha256":"2fcb7830480df422ed2043175d7e7d7c2683921703cfeaee0f2e186ad8770d13"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-940000-42-conversational_prose-watermarked","seed":941345,"text":" Use a list of questions that will get you answered. Avoid repeating the same questions over and over. The question will be answered by the interviewer.\n\nUse a list of questions that will get you answered. Avoid repeating the same questions over and over. The question will be answered by the interviewer. Avoid using self-","text_sha256":"b56009c2b2fb1b45dc69d4c03d259a6d8d0fd02e7228d9b2449a67e6d039b717"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-940000-43-structured_instructional-unwatermarked","seed":941377,"text":" The experiment should take about a minute. You can get it done by adding an after-action step or by using a new set of steps.\n\n4. Write the final step and repeat it\n\nThe second step is to use a set of steps to create the first step of an experiment. Repeat the entire","text_sha256":"ff24870f5b0d9ec69118191554522d7539fa9e1b5544719604ea86f1806dce8e"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-940000-43-structured_instructional-watermarked","seed":941377,"text":" Use a simple but effective step to replicate an experiment.\n\nUse a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Use a simple but effective step to replicate an experiment. Use a simple but effective step to replicate an experiment. Use a simple but","text_sha256":"08218c73c16c628b8bde01ab6b2d1d4dfa0439fbbabbf64faa441a846e69482d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-940000-44-general_explanatory-unwatermarked","seed":941408,"text":" This will help you identify what you want to do in advance. Then, if you are just starting out, ask the author of your paper about their background or what they are currently working on. A good example of this is a question in a clinical research article that has a similar problem: \"Why did we not see","text_sha256":"22bbb1f096088aa1b13db9578713eb8b766fade39f605b00de795993d4853ac0"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-940000-44-general_explanatory-watermarked","seed":941408,"text":" This will help you identify what data you want to use, and what will be needed to reproduce it.\n\nIn addition, read our post on How to Write a Scientific Article without the Info Section: The \"Use Information to Make Your Article More Effective.\"\n\nThe most important part is how to make the article","text_sha256":"8abefa7d304a51c23ca5a36827b3498f9adefeb69e28c935f652410e104a454f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-940000-45-technical_explanation-unwatermarked","seed":941440,"text":" This means that we know when the test fails because the failure mode has been identified and this is the first step in checking if it is successful. Finally, the validation check can detect if the test is still valid, or if we see that the test is not successful.\n\nThe main idea is that we are trying","text_sha256":"46e94639f2c4f55a987c452cf525d1bced6ab81e4980bb49a6aed87a5b6f973c"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-940000-45-technical_explanation-watermarked","seed":941440,"text":" Create a random number generator, such as Cython.\n\nGenerate a test model in the language or language-specific language. Define a test method in the context of the model.\n\nIdentify the problem by describing the problem in a readable and understandable manner. Define the main features of the problem","text_sha256":"7ba2cbc1a19cd047a76c08716e302a8a79552b23def14a804a947520a1877b89"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-940000-46-conversational_prose-unwatermarked","seed":941472,"text":"\n\nWhen a student asks, \"How does this happen?\" Use a simple, non-technical set of questions and instructions.\n\nIn one of the recent surveys, \"What is your favorite language?\" respondents were asked to choose a language that had the most to offer. (The survey methodology is unclear, but","text_sha256":"26c026c736197401d36c4f06ac39d9f75edb2d78ff472d6aa59fb892594d2153"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-940000-46-conversational_prose-watermarked","seed":941472,"text":" Don't focus on the author's language; focus on his or her point of view.\n\nFor example:\n\nThe authors of a paper are saying that they are \"confident that\" all of their data was replicated (p. 15).\n\nThe authors of a paper say that they are \"conf","text_sha256":"e534eac48c2fcf5b67e698a3d415414378768b4f916b0422213eb4191cb19621"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-940000-47-structured_instructional-unwatermarked","seed":941504,"text":" If you can't repeat the entire set, or need to write a more complex part, you can use two steps.\n\nFigure 10.\n\nFigure 11.\n\nFigure 12.\n\nFigure 13.\n\nFigure 14.\n\nFigure 15.\n\nFigure 16.\n\nFigure 17.","text_sha256":"681d09c0740021c800a959e2bc18a8d7966986511d1a50227d817db526debc1a"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-940000-47-structured_instructional-watermarked","seed":941504,"text":" Use a series of \"solutions\" to describe the results. If you are having trouble with each step, make sure you have read this book.\n\nTry to explain to your readers how replication works and how it could be used as a way to improve your own personal learning.\n\nIf you are looking for","text_sha256":"83e8df7adadba8f51e0f71db801b20b8f06bddadba3bbdcb99e5dc9d247593d7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-940000-48-general_explanatory-unwatermarked","seed":941536,"text":" Include a few words about the relevant work. Then, use it to explain the difference between the two approaches.\n\nFor the sake of this example, I'll use a single paragraph.\n\nThe problem with this approach is that the \"spoke out\" paragraph is not coherent. You need to explain how the","text_sha256":"861c556f0fc032a8f17646388ff3fc1331d398160e6dc17967216f17ebdcc712"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-940000-48-general_explanatory-watermarked","seed":941536,"text":" Include a citation describing how the results of a trial or a study should be reported in the publication. If you can't write the citation, cite the article, even if it's merely a paragraph. Write a single sentence to describe the results. Write a sentence that describes the data that you expect to see. Add the","text_sha256":"505cae52b7eb940578fdce5c7805a2131e073162f3a9ce98dc86f43bb9e72a85"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-940000-49-technical_explanation-unwatermarked","seed":941568,"text":" Write down your results and compare them with others. Analyze the results and decide which data to replicate. Then write down the data. If you're not happy with the results, write down the validation check. If you're happy with the validation, write down the validation check. Read this book to learn how to write","text_sha256":"c8fe9214168ef4c534ce6e6bd65489e623880a497e18278a72daf6a8cd86fea1"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-940000-49-technical_explanation-watermarked","seed":941568,"text":" Create a small subset of failures and apply them to a set of samples. Perform two test runs, one of them using a single computer and the other using a large pool of data. See examples in the discussion of failure modes.\n\n2.1.4 The Problem\n\nThe problem is that of the implementation","text_sha256":"1b34587b237cdbf6fba9af678d3a92431a9d67a59496213bf9aa8993784c50ac"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-940000-50-conversational_prose-unwatermarked","seed":941600,"text":"\n\nWhen you talk with other colleagues, use clear language about your own contributions to the study. This will help you get a sense of what you have accomplished and how you are contributing to the study. You can also make the decision to replicate the results from the other colleagues that you did not ask about.\n\n","text_sha256":"e2cc2c56b2ce33e45319f192510ff4f8948d714a8052d7abb250739f18a62795"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-940000-50-conversational_prose-watermarked","seed":941600,"text":"\n\nRead more about\n\nHow to use Google Reader in your own project\n\nLearn about how to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\n","text_sha256":"c6fd6fb3987cbd0dc91afb0afd29cae6c164ecf3de75927b63e7f454c23be51f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-940000-51-structured_instructional-unwatermarked","seed":941632,"text":"\n\nIn each step of the experiment, use a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Write down each step that you want to replicate in real time. The first step of the first step will be used to make sure you get enough repet","text_sha256":"eb9adabb6c82657a561f039b5aca48fe3bb434a2cc77b933973dd0c5247cc379"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-940000-51-structured_instructional-watermarked","seed":941632,"text":" This is how you can get started:\n\nLet's say your first attempt is successful and you are able to replicate two of your steps. Then you add your second step, and the results are the same as if you had added the first step.\n\nIn fact, if your first experiment fails, you can","text_sha256":"c0acac25fca65b4616c7e5cf22595bf88ea53c85a9c64c8f2d99bba2654effcf"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-940000-52-general_explanatory-unwatermarked","seed":941664,"text":" Do not use a list of all the reviewers and colleagues. Avoid having the journal get together and work out how you can improve the paper without getting involved with the reviewers or colleagues. Do not talk about your journal's current results without a summary. Instead, talk about your current paper's main findings, and make sure you","text_sha256":"6ab77d7d5d0de93a10bdc7846f8f9af8225a68706e760d6a412759667fda0f35"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-940000-52-general_explanatory-watermarked","seed":941664,"text":" Don't use a verb or a single sentence that you think you know.\n\nIn fact, research conducted with independent replication projects in the U.S. has proven that independent replication is not only reliable, but it's also a huge win for science. In fact, independent replication has even been used to train science","text_sha256":"b5e2bb155241e04eda0ccc7f88c9a7ca5cffa7d70a3fb2d438278f2028bdb17b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-940000-53-technical_explanation-unwatermarked","seed":941696,"text":"\n\nThe main idea, one failure mode, and one validation check. Use a series of validation checks (see section 4.1) to establish the correctness of the model.\n\nUsing a series of validation checks (see section 4.1) to establish the correctness of the model. Use the same rules as","text_sha256":"f5b8f45beb3c0b3a123638d148359540b5da857e7d077e5416beb3c36fc9ecb8"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-940000-53-technical_explanation-watermarked","seed":941696,"text":" You'll also need to find a valid test-run in the run-time state and the number of steps.\n\nRationale\n\nSo, for this review we'll take a look at what you'll need to know to get started with software replication. There are several factors to consider, including how many","text_sha256":"1ce9f0102da5fdac8cfc201c6a96a1075e496602c8bdf0deb335721172f8351c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-940000-54-conversational_prose-unwatermarked","seed":941728,"text":"\n\n\n1. The \"discovery\" method is an imperfect method. It leaves out all the facts, which makes it difficult to distinguish the difference. It does not work with \"experimental\" scale replication, for example.\n\n\n2. The \"peer review\" method is a little confusing. It is a","text_sha256":"ce1303df9b66d64cb8406f20a5f3333467fb11d4b1f240bfa4fac9003cf3f277"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-940000-54-conversational_prose-watermarked","seed":941728,"text":"\n\n\n1. The \"I understand what you're saying\" question. This is about the exact same question, but there are different kinds of answers. A lot of people ask \"Why would you believe the lie if you didn't know what I said?\" and the response is \"Because I am a scientist.\" I","text_sha256":"0326ba736352cb26ce9d834fc3f79859a36771a991d31780bd51b1012c0d214c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-940000-55-structured_instructional-unwatermarked","seed":941761,"text":" For example, when you write the following, write it as an example:\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47","text_sha256":"4b0a832d2c17fa8d6feb544f7cad61ef33f3d3118b5ec169cc5e701850470334"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-940000-55-structured_instructional-watermarked","seed":941761,"text":" For example, when you write the following, you will see the following:\n\n1. You're right.\n\n2.\n\n3.\n\n4.\n\n5.\n\n6.\n\n7.\n\n8.\n\n9.\n\n10.\n\n11.\n","text_sha256":"95448f4739c86370077abe221bc98c5d832d1ca92b0e29f1aa8212e6815e847e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-940000-56-general_explanatory-unwatermarked","seed":941793,"text":" If you don't want to write it, read something else. Read one sentence without knowing if it's a sentence you want to say or a sentence you want to repeat. (In other words, to put it simply, a lot of the time, even if you don't think it's a sentence, it's","text_sha256":"910e58d53bf65217e008df96ee8594bfc82cd021187e55dd20c3ab608da82763"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-940000-56-general_explanatory-watermarked","seed":941793,"text":" Use a clear definition of the term, and use it with caution. Make a point of stating what was said and what was not said, then explain in plain English why you are making the claim. If you are not sure of your own meaning, try asking people to do the same thing.\n\nNote: These","text_sha256":"c081d8472bb397a261aba926790830365d0bb0ddcad8a963e40a400ea4109d02"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-940000-57-technical_explanation-unwatermarked","seed":941824,"text":" The goal is to create a set of test cases that can be implemented with this set of tests. The main goal is to generate the required set of tests to be run on an existing sample of test cases. A typical test case is defined by the following: test_name = \"test_name\" test_error","text_sha256":"74cb4dfe0e16b22d88c3a756253b84757b306bf824a86ad2ea6b9aa8289d570e"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-940000-57-technical_explanation-watermarked","seed":941824,"text":" Set up the validation check, and set up the test for validation to work.\n\nSee Also: http://www.researchgate.net/cgi-bin/...\n\nA validation check is like a check for failure or failure modes in a software test, but with a different set of test parameters. This","text_sha256":"88ee159edb2259fae74383c588f1d030fffb1488c51a50fa13d8655d80167d64"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-940000-58-conversational_prose-unwatermarked","seed":941856,"text":"\n\nHow to get your own scale\n\nFor a sample scale, you can find a book on how to get a scale from the National Research Council at http://www.nrc.gov/research.\n\nDoing the research in a university library gives you the right amount of money for the project.","text_sha256":"33bcd65db90b0d3638949a917ed9dfd8347ec3ccff55903679e725d1976371ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-940000-58-conversational_prose-watermarked","seed":941856,"text":" Use a simple and direct summary to make your points clear to the interviewer.\n\nWhen we first started out, it was a very simple question, but the basic idea was that people would ask you questions about your work and how to make them better.\n\nNow, with multiple scales, we've developed a system","text_sha256":"253a877437c6675d2ad0071dd4e35f0933fd66a27ce363c214a6c67c52f77372"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-940000-59-structured_instructional-unwatermarked","seed":941888,"text":" This is the first step that should be done before the experiment is terminated.\n\nNext, perform a second step, which consists of two parts. First, repeat the step that you have previously performed in step 1. This step will add additional information to the experiment if it is successful. This step may be used to","text_sha256":"859b762effe9471f136a6076afbe86cb1cfc6e2e5c05e56608e843a60ce0e113"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-940000-59-structured_instructional-watermarked","seed":941888,"text":" This simple experiment uses a simple textured surface to replicate the effect of a single letter. The result is a large, high-res image.\n\nIn this example, we used a textured surface to create a three-step textured surface to replicate a single letter. The resulting image is a 3x3","text_sha256":"3e95b8b9dad4aed9e5a787dfc4a49374a156790510d21d4bbe5e6f7640615d48"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-940000-60-general_explanatory-unwatermarked","seed":941920,"text":" In any case, try to follow the guidelines, and don't worry about your results.\n\nIf you don't like one of my suggestions (or just don't like the others) click here to subscribe to my newsletter.\n\nThis is also how I use my blog's RSS Feed.\n\nThis post","text_sha256":"8d021e6b4508bb00a0b0e60428fe12f99929c53eeb1a92ff0ea39e13783f01de"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-940000-60-general_explanatory-watermarked","seed":941920,"text":" Use a list of the authors in your manuscript, and use it to show you where you can use it. A concise summary of the paper, by its title, is an important indicator that the author was working with a group of scientists working on an idea, and has chosen to use that idea in their paper. You","text_sha256":"00b92b7a1848859478688bdbcdb55e5b4206e6ee47590b2d5d3df09b7e14143f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-940000-61-technical_explanation-unwatermarked","seed":941952,"text":"\n\nIn this example, we first create an experiment, which uses a standard library for statistical analysis, and then a custom database for statistical inference.\n\nThe first step is to define the main idea. In the first example, we start with a single sample and then use an inference procedure to perform a random,","text_sha256":"9a1cfdbc957d48987a7d8ef04db53a04955657ac8bb2b666ed1a37ae0a9739ab"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-940000-61-technical_explanation-watermarked","seed":941952,"text":" This helps to make sure that there is a well-defined error rate.\n\nThe main idea, one failure mode, and one validation check. This helps to make sure that there is a well-defined error rate. A validation check, which is a collection of errors that can be fixed with a single call to","text_sha256":"ce9aa5609b69bc1f0411d1af7a4c57a4a16dd1f72b47dca8d3ee9ca9150376ba"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-940000-62-conversational_prose-unwatermarked","seed":941984,"text":"\n\nUse clear and simple sentences with clear, unambiguous language.\n\nUse short paragraphs that are easily understood and concise.\n\nUse short paragraphs that are easy to follow.\n\nThe first step is to find out why your book is good for you. Why a book is good for you and why you","text_sha256":"153ba2641a57ff417158212d4697e5552befdd81749b1dbfd8235befd224fa40"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-940000-62-conversational_prose-watermarked","seed":941984,"text":" Use a list of the main findings with one or two simple points. Don't use any acronyms.\n\n\nThe third way to understand what a problem is is to look closely at the data. Look at the chart below to see how much the numbers change based on the amount of time the study went through (","text_sha256":"db1e37ae8c5bec3269ffe213c5bf10d935cb7799694511abcbb6d65dddc7306a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-940000-63-structured_instructional-unwatermarked","seed":942016,"text":"\n\nThe first step in the test consists of two separate tests, one for each step. If the test contains a word describing the stimulus or the word itself, it will be used to test this word or to learn how to use the word to describe the stimulus or to learn how to describe the word using an appropriate","text_sha256":"0e9ebbbd52a6a4b07928e4cba3dc60cec05b39b2f1ab537f003a3597ef9e3c74"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-940000-63-structured_instructional-watermarked","seed":942016,"text":"\n\n(2) The following are an example of \"spatial replication\" that is described in an upcoming paper by W. W. Wozniak and A. N. 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scale replication","visible_pass_rate":"256/256"} diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index 778162b8..2220fea3 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -82,7 +82,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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(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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 1/64 as zero. Not confirmation."), - _row(940000, "cycle8", "scale_replication", CYCLE8_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Independent large-N replication after 930000."), + _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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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."), _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."), diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json index 433c15bc..f3172e1d 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_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":"e58dc2abd864a21ed06d6a3f50eea3f6ef2653aa6a4462a039244af918c72a84","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 generate until U+034F x1 is frozen.","publicly_exposed":false,"role":"scale_validation","scored":false,"seed_base":950000,"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} diff --git a/tests/test_cycle8_scale.py b/tests/test_cycle8_scale.py index 0736852a..30f13ec3 100644 --- a/tests/test_cycle8_scale.py +++ b/tests/test_cycle8_scale.py @@ -104,6 +104,44 @@ def test_cycle8_scale_n64_records_one_raw_residual() -> None: assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" +def test_cycle8_scale_940000_independent_n64_is_zero_raw() -> None: + from pathlib import Path + + from fuckmark.hashing import sha256_json + + artifact = json.loads( + ( + Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-940000-n64-2026-08-26" / "detector-compare.json" + ).read_text(encoding="utf-8") + ) + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["seed_base"] == 940000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == "independent scale replication" + assert artifact["detector_access_used_for_selection"] is False + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + u034f = artifact["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + assert identity["raw_watermarked_detected"] == 62 + assert u034f["raw_watermarked_detected"] == 0 + assert u034f["raw_unwatermarked_detected"] == 0 + assert u034f["cf_strip_watermarked_detected"] == 0 + assert u034f["nfkc_watermarked_detected"] == 0 + assert u034f["ws_collapse_watermarked_detected"] == 0 + assert u034f["nfc_watermarked_detected"] == 0 + assert u034f["visible_pass_count"] == 128 + assert u034f["fail_closed_identity_count"] == 0 + assert u034f["raw_watermarked_max_score"] < 0.5570987654320988 + decision = json.loads( + (Path(__file__).resolve().parents[1] / "evidence" / "cycle8-scale-940000-n64-2026-08-26" / "decision.json").read_text( + encoding="utf-8" + ) + ) + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + + def test_classify_scale_detector_compare_marks_zero_raw_as_promising() -> None: artifact = { "summaries": { diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 2ce4f890..19ec1b1d 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -52,6 +52,10 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert exploratory["generated"] is True assert exploratory["scored"] is True assert exploratory["eligible_as_unseen_validation"] is False + replication = row_for_seed_base(CYCLE8_SCALE_REPLICATION_SEED_BASE) + assert replication["generated"] is True + assert replication["scored"] is True + assert replication["eligible_as_unseen_validation"] is False assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) assert_new_cycle8_scale_generation_seed(CYCLE8_SCALE_REPLICATION_SEED_BASE) with pytest.raises(ValueError, match="frozen"): From d58cf5b43bd079c55771b9409ec8f9c527b5fe7d Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 04:19:59 +0000 Subject: [PATCH 05/13] Reserve Cycle 8 density seed 960000 and word-final U+034F arm. Add detector-blind space x1 versus space plus word-final letter x1 before any 960000 generation. Keep the product registry empty. Co-authored-by: Byte271 --- CHANGELOG.md | 2 +- README.md | 2 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 2 + docs/cycle8/seed-ledger.md | 3 +- docs/seeds.md | 2 + fuckmark/cycle8/__init__.py | 2 + fuckmark/cycle8/compare.py | 15 ++- fuckmark/cycle8/decision.py | 21 +++- fuckmark/cycle8/ledger.py | 13 ++- fuckmark/cycle8/registry.py | 22 ++++- fuckmark/cycle8_density_hf.py | 65 +++++++++++++ fuckmark/cycle8_hf.py | 6 +- fuckmark/product/__init__.py | 2 + fuckmark/product/carriers.py | 39 ++++++++ fuckmark/seeds/ledger.py | 22 ++++- .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_carriers.py | 41 +++++++- tests/test_cycle8_density.py | 96 +++++++++++++++++++ tests/test_global_seed_ledger.py | 17 +++- 21 files changed, 360 insertions(+), 18 deletions(-) create mode 100644 fuckmark/cycle8_density_hf.py create mode 100644 tests/test_cycle8_density.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 2e7a3f8a..76ca2ef6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -15,7 +15,7 @@ - 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`. -- 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 for a detector-blind U+034F space x1 versus space plus word-final letter x1 comparison. Not product-authorized. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index cd102286..5f3ec281 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F 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**. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +Cycle 8 U+034F 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**. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `960000` is reserved for detector-blind density follow-up and is not generated in the reservation commit. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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 085aa9ff..ca55d87d 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. Do not inspect `830000` / `840000` / `850000`. 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. Do not inspect `830000` / `840000` / `850000`. 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 2320b9ab..de377ee4 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -19,6 +19,8 @@ Not product-authorized. Fixture compare on four ASCII texts is `VERIFIED` for vi `HYPOTHESIS`. 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. This is the TransformRegistry-compatible high-density channel. Intra-word insertion is tokenizer-diagnostic only because it breaks the frozen hard-invariant word regex. +Word-final ASCII letter x1 (`[A-Za-z](?![A-Za-z])`) plus space x1 is a detector-blind density follow-up on reserved seed `960000`. It is not every-letter insertion. Sites that would split contracted words such as `don't` are fail-closed by the frozen hard-invariant validator. This arm is not product-authorized. + ## 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. diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index d85bd030..fefa5ce8 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. +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. See also `docs/seeds.md`. @@ -31,5 +31,6 @@ See also `docs/seeds.md`. | 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 | yes, development only, after reservation; do not retune on 930000 residual text | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index c87b2d9d..1ba788f5 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -10,6 +10,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. ## Cycle 8 scale reservation (before generation) @@ -18,6 +19,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16, 0/32, then 1/64 U+034F x1 raw WM; do not rewrite 1/64 as zero | | 940000 | scale replication | `independent scale replication` | generated and scored: independent 0/64 U+034F x1 raw WM; max score 0.557052 vs threshold 0.557099 | | 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | +| 960000 | density exploratory | `carrier density follow-up` | reserved before generation; detector-blind space x1 versus space plus word-final letter x1 | ## Historical v1 Cycle 8 ledger diff --git a/fuckmark/cycle8/__init__.py b/fuckmark/cycle8/__init__.py index 1ac4349c..14c701d9 100644 --- a/fuckmark/cycle8/__init__.py +++ b/fuckmark/cycle8/__init__.py @@ -23,6 +23,7 @@ cycle8_combined_carrier_registry, cycle8_letter_carrier_registry, cycle8_space_carrier_registry, + cycle8_space_wordfinal_carrier_registry, ) 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 @@ -62,6 +63,7 @@ "cycle8_seed_ledger_hash", "cycle8_seed_ledger_payload", "cycle8_space_carrier_registry", + "cycle8_space_wordfinal_carrier_registry", "iter_default_ignorable_codepoints_v1", "load_gpt2_encoder", "require_gpt2_encoder", diff --git a/fuckmark/cycle8/compare.py b/fuckmark/cycle8/compare.py index 884c9058..dae804b2 100644 --- a/fuckmark/cycle8/compare.py +++ b/fuckmark/cycle8/compare.py @@ -8,7 +8,11 @@ from ..product.registry import product_transform_registry from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1 from ..transforms.schema import CandidateRejectionReason -from .registry import cycle8_space_carrier_registry, select_nonoverlapping_candidate_ids +from .registry import ( + cycle8_space_carrier_registry, + cycle8_space_wordfinal_carrier_registry, + select_nonoverlapping_candidate_ids, +) from .tokenizer_screen import GPT2_FIXTURE, resynchronization_metrics @@ -18,6 +22,7 @@ CYCLE8_U034F_SPACE_ARM_ID = "u034f-space-x1" CYCLE8_U034F_SPACE_RUN_ARM_ID = "u034f-space-x8" CYCLE8_UFE00_SPACE_ARM_ID = "ufe00-space-x1" +CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID = "u034f-space-wordfinal-x1" CYCLE8_DETECTOR_ARM_IDS = ( CYCLE8_IDENTITY_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, @@ -28,6 +33,11 @@ CYCLE8_IDENTITY_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID, ) +CYCLE8_DENSITY_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, +) CYCLE8_FIXTURE_ARM_IDS = ( *CYCLE8_DETECTOR_ARM_IDS, CYCLE8_UFE00_SPACE_ARM_ID, @@ -39,6 +49,7 @@ CYCLE8_U034F_SPACE_ARM_ID: (0x034F, 1), CYCLE8_U034F_SPACE_RUN_ARM_ID: (0x034F, 8), CYCLE8_UFE00_SPACE_ARM_ID: (0xFE00, 1), + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: (0x034F, 1), } @@ -59,6 +70,8 @@ def arm_approved_carriers(arm_id: str) -> tuple[int, ...]: def arm_registry(arm_id: str): + if arm_id == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: + return cycle8_space_wordfinal_carrier_registry(0x034F) spec = _ARM_SPEC[arm_id] if spec is None: return product_transform_registry() diff --git a/fuckmark/cycle8/decision.py b/fuckmark/cycle8/decision.py index 6344eebb..4b795a67 100644 --- a/fuckmark/cycle8/decision.py +++ b/fuckmark/cycle8/decision.py @@ -6,6 +6,7 @@ CYCLE8_IDENTITY_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_RUN_ARM_ID, + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, CYCLE8_UFE00_SPACE_ARM_ID, ) @@ -150,12 +151,21 @@ def classify_fixture_compare(report: Mapping[str, object]) -> dict[str, object]: CYCLE8_SCALE_DECISION_VERSION = "cycle8-scale-decision-v1" -def classify_scale_detector_compare(artifact: Mapping[str, object]) -> dict[str, object]: +def classify_scale_detector_compare( + artifact: Mapping[str, object], + transformed_arm_id: str = CYCLE8_U034F_SPACE_ARM_ID, +) -> dict[str, object]: summaries = artifact.get("summaries") if not isinstance(summaries, Mapping): raise ValueError("scale detector artifact must contain summaries") identity = summaries[CYCLE8_IDENTITY_ARM_ID] - u034f = summaries[CYCLE8_U034F_SPACE_ARM_ID] + u034f = summaries[transformed_arm_id] + if transformed_arm_id == CYCLE8_U034F_SPACE_ARM_ID: + arm_label = "U+034F x1" + elif transformed_arm_id == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: + arm_label = "U+034F space-wordfinal x1" + else: + arm_label = transformed_arm_id visible_total = int(u034f["visible_total_count"]) visible_pass = int(u034f["visible_pass_count"]) visible_failures = visible_total - visible_pass @@ -175,15 +185,15 @@ def classify_scale_detector_compare(artifact: Mapping[str, object]) -> dict[str, gate = ProductGate.DISQUALIFIED else: gate = ProductGate.PASS - reasons.append("visible projection passed on all scored U+034F x1 rows") + reasons.append(f"visible projection passed on all scored {arm_label} rows") if transformed_wm < identity_wm and transformed_uw <= int(identity["raw_unwatermarked_detected"]): decision = PROMISING_DEVELOPMENT label = EvidenceLabel.HYPOTHESIS - reasons.append("U+034F x1 reduced raw watermarked detections without raising unwatermarked detections") + reasons.append(f"{arm_label} reduced raw watermarked detections without raising unwatermarked detections") else: decision = INSUFFICIENT_EVIDENCE label = EvidenceLabel.HYPOTHESIS - reasons.append("U+034F x1 did not beat identity on this scale development corpus") + reasons.append(f"{arm_label} did not beat identity on this scale development corpus") if transformed_wm == 0: reasons.append("raw transformed watermarked detections are 0 on this corpus") if cf_wm == transformed_wm: @@ -207,6 +217,7 @@ def classify_scale_detector_compare(artifact: Mapping[str, object]) -> dict[str, "u034f_ws_collapse_watermarked_detected": collapse_wm, "u034f_nfkc_cf_strip_watermarked_detected": nfkc_cf_wm, "u034f_ws_collapse_nfkc_cf_strip_watermarked_detected": combined_wm, + "transformed_arm_id": transformed_arm_id, "reasons": tuple(reasons), "notes": ( "This is Cycle 8 scale development classification, not confirmation. " diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 53c7fb01..6281213c 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -5,6 +5,8 @@ from .._validation import require_int from ..hashing import sha256_json from ..seeds.ledger import ( + CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + CYCLE8_DENSITY_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -22,6 +24,7 @@ CYCLE8_SCALE_EXPLORATORY_ROLE = "scale_exploratory_development" CYCLE8_SCALE_REPLICATION_ROLE = "scale_replication" CYCLE8_SCALE_VALIDATION_ROLE = "scale_validation" +CYCLE8_DENSITY_EXPLORATORY_ROLE = "density_exploratory_development" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -34,6 +37,7 @@ CYCLE8_SCALE_EXPLORATORY_SEED_BASES = (CYCLE8_SCALE_EXPLORATORY_SEED_BASE,) CYCLE8_SCALE_REPLICATION_SEED_BASES = (CYCLE8_SCALE_REPLICATION_SEED_BASE,) CYCLE8_SCALE_VALIDATION_SEED_BASES = (CYCLE8_SCALE_VALIDATION_SEED_BASE,) +CYCLE8_DENSITY_EXPLORATORY_SEED_BASES = (CYCLE8_DENSITY_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" @@ -88,6 +92,8 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "scale_replication_topic": CYCLE8_SCALE_REPLICATION_TOPIC, "scale_validation_seed_base": CYCLE8_SCALE_VALIDATION_SEED_BASE, "scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, + "density_exploratory_seed_base": CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + "density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT, "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES), "selection_rule": ( @@ -98,7 +104,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "global-seed-ledger-v1 before any scale generation. Seed 880000 is " "PUBLICLY_EXPOSED by PR #98 and is not eligible as unseen validation. " "Do not inspect 830000, 840000, or 850000. Do not generate 950000 until " - "the U+034F x1 mechanism is frozen. Do not retune on Cycle 6 formal residuals." + "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. Do not retune on Cycle 6 formal residuals." ), } @@ -121,6 +129,8 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_SCALE_REPLICATION_ROLE if seed_base in CYCLE8_SCALE_VALIDATION_SEED_BASES: return CYCLE8_SCALE_VALIDATION_ROLE + if seed_base in CYCLE8_DENSITY_EXPLORATORY_SEED_BASES: + return CYCLE8_DENSITY_EXPLORATORY_ROLE if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -151,5 +161,6 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_SCALE_EXPLORATORY_ROLE: CYCLE8_SCALE_EXPLORATORY_SEED_BASES, CYCLE8_SCALE_REPLICATION_ROLE: CYCLE8_SCALE_REPLICATION_SEED_BASES, CYCLE8_SCALE_VALIDATION_ROLE: CYCLE8_SCALE_VALIDATION_SEED_BASES, + CYCLE8_DENSITY_EXPLORATORY_ROLE: CYCLE8_DENSITY_EXPLORATORY_SEED_BASES, CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8/registry.py b/fuckmark/cycle8/registry.py index 73a3f30b..c68d45c8 100644 --- a/fuckmark/cycle8/registry.py +++ b/fuckmark/cycle8/registry.py @@ -2,7 +2,11 @@ from collections.abc import Sequence -from ..product.carriers import InvisibleCarrierAfterAsciiLetterRule, space_carrier_rule +from ..product.carriers import ( + InvisibleCarrierAfterAsciiLetterRule, + InvisibleCarrierAfterWordFinalAsciiLetterRule, + space_carrier_rule, +) from ..product.registry import ProductTransformRegistry from ..transforms.schema import TransformFamily @@ -36,6 +40,22 @@ def cycle8_combined_carrier_registry(codepoint: int, identifiers: Sequence[str] ) +def cycle8_space_wordfinal_carrier_registry( + codepoint: int, + identifiers: Sequence[str] = (), + *, + repeats: int = 1, +) -> ProductTransformRegistry: + return ProductTransformRegistry( + ( + space_carrier_rule(codepoint, repeats), + InvisibleCarrierAfterWordFinalAsciiLetterRule.create(codepoint), + ), + identifiers, + approved_carriers=(codepoint,), + ) + + def select_nonoverlapping_candidate_ids( enumeration, registry: ProductTransformRegistry | None = None, diff --git a/fuckmark/cycle8_density_hf.py b/fuckmark/cycle8_density_hf.py new file mode 100644 index 00000000..ddd7c603 --- /dev/null +++ b/fuckmark/cycle8_density_hf.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_DENSITY_ARM_IDS, CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_PAIR_COUNT +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_density_generation_seed + + +CYCLE8_DENSITY_DETECTOR_VERSION = "cycle8-density-detector-compare-v1" + + +def run_cycle8_density_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + pair_count: int = CYCLE8_SCALE_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_density_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=CYCLE8_DENSITY_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_DENSITY_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-density-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_SCALE_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) + assert_new_cycle8_density_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path(f"evidence/cycle8-density-{args.seed_base}-2026-08-26/detector-compare.json") + detector = run_cycle8_density_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=CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID) + write_canonical_json_fsynced(args.detector_json.parent / "decision.json", decision) + print(canonical_json_text(decision)) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index 91701234..a7cd6e66 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -28,6 +28,8 @@ CYCLE8_SCALE_REPLICATION_TOPIC, CYCLE8_SCALE_VALIDATION_ROLE, CYCLE8_SCALE_VALIDATION_TOPIC, + CYCLE8_DENSITY_EXPLORATORY_ROLE, + CYCLE8_DENSITY_EXPLORATORY_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -149,7 +151,9 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_SCALE_REPLICATION_TOPIC if role == CYCLE8_SCALE_VALIDATION_ROLE: return CYCLE8_SCALE_VALIDATION_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, or scale seeds") + if role == CYCLE8_DENSITY_EXPLORATORY_ROLE: + return CYCLE8_DENSITY_EXPLORATORY_TOPIC + raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, or density seeds") def _generate_cycle8_samples( diff --git a/fuckmark/product/__init__.py b/fuckmark/product/__init__.py index 3483c414..18587ebe 100644 --- a/fuckmark/product/__init__.py +++ b/fuckmark/product/__init__.py @@ -1,5 +1,6 @@ from .carriers import ( InvisibleCarrierAfterAsciiLetterRule, + InvisibleCarrierAfterWordFinalAsciiLetterRule, codepoint_label, rule_preserves_visible_projection, space_carrier_rule, @@ -29,6 +30,7 @@ __all__ = [ "InvisibleCarrierAfterAsciiLetterRule", + "InvisibleCarrierAfterWordFinalAsciiLetterRule", "PRODUCT_CONTRACT_ID", "PRODUCT_CONTRACT_PATH", "PRODUCT_DOMAIN_ID", diff --git a/fuckmark/product/carriers.py b/fuckmark/product/carriers.py index 73287e2a..28df1d4e 100644 --- a/fuckmark/product/carriers.py +++ b/fuckmark/product/carriers.py @@ -12,6 +12,7 @@ INVISIBLE_CARRIER_RULE_ALGORITHM_VERSION = "invisible-carrier-rule-v1" INVISIBLE_LETTER_CARRIER_SENTINEL = "letter" +INVISIBLE_WORD_FINAL_CARRIER_PATTERN = "invisible-word-final-carrier-rule-v1" def codepoint_label(codepoint: int) -> str: @@ -120,6 +121,44 @@ def replacement_for(self, source_text: str) -> str: return source_text + self.replacement[len(INVISIBLE_LETTER_CARRIER_SENTINEL) :] +class InvisibleCarrierAfterWordFinalAsciiLetterRule(InvisibleCarrierAfterAsciiLetterRule): + def _payload(self) -> dict[str, object]: + return {**super()._payload(), "carrier_pattern": INVISIBLE_WORD_FINAL_CARRIER_PATTERN} + + @classmethod + def create(cls, codepoint: int) -> "InvisibleCarrierAfterWordFinalAsciiLetterRule": + require_int("codepoint", codepoint) + carrier = chr(codepoint) + hashed = { + "algorithm_version": RULE_ALGORITHM_VERSION, + "rule_id": f"product-carrier-word-final-letter-{codepoint:04X}", + "version": "v1", + "family": TransformFamily.ORTHOGRAPHY.value, + "tier": TransformTier.EXPERIMENTAL.value, + "source": INVISIBLE_LETTER_CARRIER_SENTINEL, + "replacement": INVISIBLE_LETTER_CARRIER_SENTINEL + carrier, + "whole_word": False, + "preserve_simple_case": False, + "block_all_caps": False, + "carrier_pattern": INVISIBLE_WORD_FINAL_CARRIER_PATTERN, + } + return cls( + rule_id=f"product-carrier-word-final-letter-{codepoint:04X}", + version="v1", + family=TransformFamily.ORTHOGRAPHY, + tier=TransformTier.EXPERIMENTAL, + source=INVISIBLE_LETTER_CARRIER_SENTINEL, + replacement=INVISIBLE_LETTER_CARRIER_SENTINEL + carrier, + whole_word=False, + preserve_simple_case=False, + block_all_caps=False, + rule_hash=sha256_json(hashed), + ) + + def pattern(self) -> re.Pattern[str]: + return re.compile(r"[A-Za-z](?![A-Za-z])") + + def rule_preserves_visible_projection(rule: LiteralTransformRule, approved_carriers=None) -> bool: approved = normalize_approved_carriers(approved_carriers) if isinstance(rule, InvisibleCarrierAfterAsciiLetterRule): diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index 2220fea3..ebecb8bb 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -14,9 +14,11 @@ CYCLE8_SCALE_EXPLORATORY_SEED_BASE = 930_000 CYCLE8_SCALE_REPLICATION_SEED_BASE = 940_000 CYCLE8_SCALE_VALIDATION_SEED_BASE = 950_000 +CYCLE8_DENSITY_EXPLORATORY_SEED_BASE = 960_000 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling" CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" +CYCLE8_DENSITY_EXPLORATORY_TOPIC = "carrier density follow-up" def _row( @@ -84,6 +86,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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."), + _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Detector-blind U+034F space plus word-final letter density follow-up. Do not inspect 930000 residual text to write lexical rules."), _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."), @@ -104,7 +107,8 @@ def global_seed_ledger_payload() -> dict[str, object]: "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. Do not inspect 830000, 840000, or " - "850000. Do not generate 950000 until the U+034F x1 mechanism is frozen." + "850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. " + "Seed 960000 is reserved for detector-blind density follow-up." ), "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), @@ -114,6 +118,8 @@ def global_seed_ledger_payload() -> dict[str, object]: "cycle8_scale_replication_topic": CYCLE8_SCALE_REPLICATION_TOPIC, "cycle8_scale_validation_seed_base": CYCLE8_SCALE_VALIDATION_SEED_BASE, "cycle8_scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, + "cycle8_density_exploratory_seed_base": CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + "cycle8_density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, "rows": list(rows), } @@ -150,6 +156,20 @@ def assert_new_cycle8_scale_generation_seed(seed_base: int) -> None: raise ValueError("unseen validation seeds must not be used for development generation") +def assert_new_cycle8_density_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_DENSITY_EXPLORATORY_SEED_BASE: + raise ValueError("seed_base is not a Cycle 8 density 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-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index 49906e31..213511f9 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,"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":"f76c08c325d2ba59856cef49b6e92768f424cecf4f6fb307b45048e153039573","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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. 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,"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":"e68c6dbedc7900c853b3a4a64362533c43bb08d6a5a5bdf52bbaafa6727be41d","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. Do not inspect 830000, 840000, or 850000. 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. 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 f3172e1d..33e77105 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_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":"a74c41eba6197652a2b677b5131bca3fe018524102e53fb744b8d96872f0ed50","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen."} +{"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_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":"32a240f2bc0fc9cfadbd3b8d765fb82be7a7e40339639825956a5c832832a9b1","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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. 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Do not inspect 930000 residual text to write lexical rules.","publicly_exposed":false,"role":"density_exploratory_development","scored":false,"seed_base":960000,"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. Seed 960000 is reserved for detector-blind density follow-up."} diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index 6c94bc18..ddf6a9b8 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -15,7 +15,11 @@ cycle8_seed_ledger_hash, cycle8_seed_ledger_payload, ) -from fuckmark.cycle8.registry import apply_all_candidates, cycle8_space_carrier_registry +from fuckmark.cycle8.registry import ( + apply_all_candidates, + cycle8_space_carrier_registry, + cycle8_space_wordfinal_carrier_registry, +) from fuckmark.cycle8.unicode_meta import ( audit_codepoints, classify_carrier_hypothesis, @@ -23,6 +27,7 @@ iter_default_ignorable_codepoints_v1, ) from fuckmark.hashing import sha256_json +from fuckmark.product.carriers import InvisibleCarrierAfterWordFinalAsciiLetterRule from fuckmark.product.visible_projection import is_carrier_insertion_v1 from fuckmark.sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters @@ -50,11 +55,13 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["exploratory_replication_seed_base"] == CYCLE8_REPLICATION_SEED_BASE == 900_000 assert payload["validation_development_seed_base"] == CYCLE8_VALIDATION_SEED_BASE == 910_000 assert payload["scale_exploratory_seed_base"] == CYCLE8_SCALE_EXPLORATORY_SEED_BASE == 930_000 + assert payload["density_exploratory_seed_base"] == 960_000 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() assert_cycle8_development_seed(890_000, role="exploratory_development") assert_cycle8_development_seed(930_000, role="scale_exploratory_development") + assert_cycle8_development_seed(960_000, role="density_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"): @@ -115,3 +122,35 @@ def test_cgj_space_carrier_survives_utf8_file_roundtrip(tmp_path: Path) -> None: assert loaded == transformed assert is_carrier_insertion_v1(source, loaded, (0x034F,)) assert loaded.encode("utf-8").decode("utf-8") == transformed + + +def test_word_final_letter_carrier_is_denser_than_space_and_fail_closes_apostrophe_splits() -> None: + from fuckmark.product.visible_projection import project_visible_v1 + from fuckmark.transforms.hard_invariants import validate_hard_invariants + from fuckmark.transforms.registry import release_transform_registry + from fuckmark.transforms.schema import CandidateRejectionReason, InvariantStatus + + rule = InvisibleCarrierAfterWordFinalAsciiLetterRule.create(0x034F) + assert [match.group() for match in rule.pattern().finditer("alpha")] == ["a"] + assert [match.group() for match in rule.pattern().finditer("don't")] == ["n", "t"] + source = "hello world" + space_only = apply_all_candidates(cycle8_space_carrier_registry(0x034F), source) + combined = apply_all_candidates(cycle8_space_wordfinal_carrier_registry(0x034F), source) + assert space_only.count("\u034f") == 1 + assert combined.count("\u034f") == 3 + assert is_carrier_insertion_v1(source, combined, (0x034F,)) + assert project_visible_v1(combined, (0x034F,)) == source + assert validate_hard_invariants(source, combined).status is InvariantStatus.PASS + contracted = "I don't wait." + registry = cycle8_space_wordfinal_carrier_registry(0x034F) + enumeration = registry.enumerate(contracted) + assert any( + rejection.reason is CandidateRejectionReason.HARD_INVARIANT_FAILED for rejection in enumeration.rejections + ) + applied = apply_all_candidates(registry, contracted) + assert is_carrier_insertion_v1(contracted, applied, (0x034F,)) + assert project_visible_v1(applied, (0x034F,)) == contracted + assert validate_hard_invariants(contracted, applied).status is InvariantStatus.PASS + assert "don't" in applied.replace("\u034f", "") + assert applied.count("\u034f") >= 1 + assert release_transform_registry().rules == () diff --git a/tests/test_cycle8_density.py b/tests/test_cycle8_density.py new file mode 100644 index 00000000..defc6762 --- /dev/null +++ b/tests/test_cycle8_density.py @@ -0,0 +1,96 @@ +import pytest + +from fuckmark.cycle8.compare import ( + CYCLE8_DENSITY_ARM_IDS, + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, + arm_registry, + measure_carrier_arm, +) +from fuckmark.cycle8.decision import PROMISING_DEVELOPMENT, classify_scale_detector_compare +from fuckmark.cycle8.ledger import CYCLE8_SCALE_PAIR_COUNT +from fuckmark.cycle8_density_hf import CYCLE8_DENSITY_DETECTOR_VERSION +from fuckmark.cycle8_hf import _topic_for_seed +from fuckmark.product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from fuckmark.seeds.ledger import ( + CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + CYCLE8_DENSITY_EXPLORATORY_TOPIC, + CYCLE8_SCALE_VALIDATION_SEED_BASE, + assert_new_cycle8_density_generation_seed, +) +from fuckmark.transforms.registry import release_transform_registry + + +def test_density_seed_and_arms_are_reserved_before_generation() -> None: + assert CYCLE8_SCALE_PAIR_COUNT == 16 + assert CYCLE8_DENSITY_EXPLORATORY_SEED_BASE == 960000 + assert _topic_for_seed(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) == CYCLE8_DENSITY_EXPLORATORY_TOPIC + assert CYCLE8_DENSITY_ARM_IDS == ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, + ) + assert CYCLE8_DENSITY_DETECTOR_VERSION == "cycle8-density-detector-compare-v1" + assert_new_cycle8_density_generation_seed(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_density_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_density_generation_seed(830000) + assert release_transform_registry().rules == () + + +def test_density_wordfinal_arm_inserts_after_spaces_and_word_final_letters() -> None: + source = "Apply the check after the notes." + space = measure_carrier_arm( + arm_id=CYCLE8_U034F_SPACE_ARM_ID, + source_sample_id="density-space-control", + source_text=source, + ) + combined = measure_carrier_arm( + arm_id=CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, + source_sample_id="density-wordfinal", + source_text=source, + ) + assert space["visible_ok"] is True + assert combined["visible_ok"] is True + assert int(combined["inserted_count"]) > int(space["inserted_count"]) + transformed = str(combined["transformed_text"]) + assert is_carrier_insertion_v1(source, transformed, (0x034F,)) + assert project_visible_v1(transformed, (0x034F,)) == source + assert combined["fail_closed_identity"] is False + registry = arm_registry(CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID) + assert len(registry.rules) == 2 + + +def test_classify_density_detector_compare_uses_wordfinal_arm() -> None: + artifact = { + "summaries": { + CYCLE8_IDENTITY_ARM_ID: { + "raw_watermarked_detected": 16, + "raw_unwatermarked_detected": 0, + "visible_pass_count": 32, + "visible_total_count": 32, + }, + CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: { + "raw_watermarked_detected": 0, + "raw_unwatermarked_detected": 0, + "cf_strip_watermarked_detected": 0, + "nfkc_watermarked_detected": 0, + "ws_collapse_watermarked_detected": 0, + "nfkc_cf_strip_watermarked_detected": 0, + "ws_collapse_nfkc_cf_strip_watermarked_detected": 0, + "visible_pass_count": 32, + "visible_total_count": 32, + }, + } + } + decision = classify_scale_detector_compare( + artifact, + transformed_arm_id=CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, + ) + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["transformed_arm_id"] == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + assert any("space-wordfinal" in reason for reason in decision["reasons"]) diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 19ec1b1d..6af5ef30 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -6,12 +6,14 @@ from fuckmark.hashing import sha256_json from fuckmark.seeds.ledger import ( CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, + CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, CYCLE8_SCALE_VALIDATION_SEED_BASE, GLOBAL_SEED_LEDGER_VERSION, PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, + assert_new_cycle8_density_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -66,4 +68,17 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert_new_cycle8_scale_generation_seed(920000) bases = known_seed_bases() assert len(bases) == len(set(bases)) - assert 930000 in bases and 940000 in bases and 950000 in bases + assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases + density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) + assert density["generated"] is False + assert density["scored"] is False + assert density["generation_topic"] == "carrier density follow-up" + assert_new_cycle8_density_generation_seed(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="density"): + assert_new_cycle8_density_generation_seed(CYCLE8_SCALE_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_density_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="density"): + assert_new_cycle8_density_generation_seed(880000) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_density_generation_seed(830000) From 55dcb7b1c6046e50290cb632d2e91fe802a7a987 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 04:33:12 +0000 Subject: [PATCH 06/13] Record Cycle 8 seed 960000 density 1/16 on space and word-final arms. Space x1 and space-wordfinal left the same watermarked row detected. Density did not beat space x1. Do not rewrite 1/16 as zero. Co-authored-by: Byte271 --- CHANGELOG.md | 2 +- README.md | 2 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 2 +- docs/cycle8/seed-ledger.md | 2 +- docs/seeds.md | 2 +- .../README.md | 33 +++++++++++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + fuckmark/seeds/ledger.py | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_density.py | 58 +++++++++++++++++++ tests/test_global_seed_ledger.py | 4 +- 14 files changed, 106 insertions(+), 10 deletions(-) create mode 100644 evidence/cycle8-density-960000-2026-08-26/README.md create mode 100644 evidence/cycle8-density-960000-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-density-960000-2026-08-26/decision.json create mode 100644 evidence/cycle8-density-960000-2026-08-26/detector-compare.json diff --git a/CHANGELOG.md b/CHANGELOG.md index 76ca2ef6..482cde6a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -15,7 +15,7 @@ - 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 for a detector-blind U+034F space x1 versus space plus word-final letter x1 comparison. Not product-authorized. +- 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. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 5f3ec281..98f1642d 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F 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**. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `960000` is reserved for detector-blind density follow-up and is not generated in the reservation commit. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +Cycle 8 U+034F 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. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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 ca55d87d..b8e0ad4f 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. Do not inspect `830000` / `840000` / `850000`. 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. Do not inspect `830000` / `840000` / `850000`. 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 de377ee4..0e40c32e 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -19,7 +19,7 @@ Not product-authorized. Fixture compare on four ASCII texts is `VERIFIED` for vi `HYPOTHESIS`. 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. This is the TransformRegistry-compatible high-density channel. Intra-word insertion is tokenizer-diagnostic only because it breaks the frozen hard-invariant word regex. -Word-final ASCII letter x1 (`[A-Za-z](?![A-Za-z])`) plus space x1 is a detector-blind density follow-up on reserved seed `960000`. It is not every-letter insertion. Sites that would split contracted words such as `don't` are fail-closed by the frozen hard-invariant validator. This arm is not product-authorized. +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`. It is not every-letter insertion. Sites that would split contracted words such as `don't` are fail-closed by the frozen hard-invariant validator. On that 16-pair corpus both space x1 and space-wordfinal were **1/16** raw transformed WM on the same residual row, with word-final about 2x insertions. Density did not beat space x1. This arm is not product-authorized. ## H3-H8 diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index fefa5ce8..9885bb3c 100644 --- a/docs/cycle8/seed-ledger.md +++ b/docs/cycle8/seed-ledger.md @@ -31,6 +31,6 @@ See also `docs/seeds.md`. | 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 | yes, development only, after reservation; do not retune on 930000 residual text | +| Density exploratory | 960000 | carrier density follow-up | scored n=16; both arms 1/16; density did not beat space x1; do not retune on residual text | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index 1ba788f5..f71ee6fd 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 | 930000 | scale exploratory | `carrier scaling` | generated and scored: 0/16, 0/32, then 1/64 U+034F x1 raw WM; do not rewrite 1/64 as zero | | 940000 | scale replication | `independent scale replication` | generated and scored: independent 0/64 U+034F x1 raw WM; max score 0.557052 vs threshold 0.557099 | | 950000 | scale validation | `clean scale validation` | reserved; do not generate until freeze | -| 960000 | density exploratory | `carrier density follow-up` | reserved before generation; detector-blind space x1 versus space plus word-final letter x1 | +| 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; do not rewrite 1/16 as zero | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-density-960000-2026-08-26/README.md b/evidence/cycle8-density-960000-2026-08-26/README.md new file mode 100644 index 00000000..cf79fe1c --- /dev/null +++ b/evidence/cycle8-density-960000-2026-08-26/README.md @@ -0,0 +1,33 @@ +# Cycle 8 density exploratory detector evidence (seed 960000, 16 pairs) + +Development-only. Not confirmation. Seed `960000` and topic `carrier density follow-up` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on one new corpus: identity, U+034F space-carrier x1, and U+034F space plus word-final ASCII letter x1. Not every-letter insertion. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. Hard-invariant fail-closed site skipping is unchanged. No visible-edit fallback. + +## Result + +| Arm | Pristine WM | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | Combined WM | NFC WM | Raw UW | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 0/16 | +| u034f-space-x1 | 16/16 | **1/16** | 1/16 | 1/16 | 1/16 | 1/16 | 1/16 | 0/16 | +| u034f-space-wordfinal-x1 | 16/16 | **1/16** | 1/16 | 1/16 | 1/16 | 1/16 | 1/16 | 0/16 | + +Visible projection: 32/32 PASS on each transformed arm. Artifact `visible_pass_rate` `96/96` counts identity plus both transformed arms. + +Do not rewrite 1/16 as zero. + +## Density versus space x1 + +Space x1 mean insertions 45.84375; mean UTF-8 overhead 91.6875 bytes; raw transformed WM mean 0.51974, max 0.60522. + +Space plus word-final mean insertions 92.6875; mean UTF-8 overhead 185.375 bytes; raw transformed WM mean 0.51850, max 0.61553. + +Word-final density is about 2x space x1 on this corpus. GPT-2 transformed token counts stayed under 1024 on every row (space max 246, word-final max 363). Fail-closed identity count 0. Word-final hard-invariant blocked-site mean 0.65625 versus 0.09375 for space x1, from contracted-word splits that the frozen validator already rejects. + +Both transformed arms left the same watermarked row detected: `cycle8-960000-12-general_explanatory-watermarked`. Residual geometry only: space x1 had 4 insertions and GPT-2 token-count delta 12; word-final had 7 insertions and delta 18. Residual raw scores 0.60522 (space) and 0.61553 (word-final) versus threshold 0.55710. Word-final did not clear the residual and did not lower its score. + +This residual was not used to write per-row lexical rules. Density is not justified as a better mechanism than space x1 on this seed. Do not expand 960000 to 32 or 64 on this result. + +The harness classifier still labels the word-final arm `PROMISING_DEVELOPMENT` because 1/16 is below identity 16/16 with no unwatermarked inflation. That label does not make density a freeze candidate. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-density-960000-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-density-960000-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..6e13b82e --- /dev/null +++ b/evidence/cycle8-density-960000-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +a9928573b1206f71e4872ab755a3c8d4faf43766228c11b0d36bd031dc3d3704 README.md +98a19a994b70dbda9a1ea825f22a7ad08a38161ee156eccee36aef8663104d4a decision.json +e1fc51d6ccb56a7198dbe1f9161a4143cce5cdd7d06057a6803b2ce8ebb645da detector-compare.json diff --git a/evidence/cycle8-density-960000-2026-08-26/decision.json b/evidence/cycle8-density-960000-2026-08-26/decision.json new file mode 100644 index 00000000..80cbc9c7 --- /dev/null +++ b/evidence/cycle8-density-960000-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":16,"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 space-wordfinal x1 rows","U+034F space-wordfinal x1 reduced raw watermarked detections without raising unwatermarked detections","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-space-wordfinal-x1","u034f_cf_strip_watermarked_detected":1,"u034f_nfkc_cf_strip_watermarked_detected":1,"u034f_nfkc_watermarked_detected":1,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":1,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":1,"u034f_ws_collapse_watermarked_detected":1,"visible_failures":0,"visible_pass_rate":"32/32"} diff --git a/evidence/cycle8-density-960000-2026-08-26/detector-compare.json b/evidence/cycle8-density-960000-2026-08-26/detector-compare.json new file mode 100644 index 00000000..c209f6b7 --- /dev/null +++ b/evidence/cycle8-density-960000-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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This means we've started the process of reading the whole cell and then turning on the lights and running to the bathroom.\n\n\nA week later","text_sha256":"12bff9599ed10e4fc93f89a1132d3abbbbfe0a01c38f891bed60cf50cc6d6209"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-960000-04-general_explanatory-unwatermarked","seed":960128,"text":"\n\nWhat we need is a way to tell the story of how the carrier density change will affect us. I've found that it's often too simple and doesn't follow through to the intended conclusion.\n\nWhat is carrier density?\n\nThe density of an object or the number of particles it is travelling at","text_sha256":"2ecefb99b511c6ce542143bc2cb60a28c9e7eb8912b76ede0dc104b5a09aeb05"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-960000-04-general_explanatory-watermarked","seed":960128,"text":" Use a list of the most common carriers.\n\nA carrier is the largest type of ship that has ever been built. It has been used in the construction of ships for the past 200 years. The name \"carrier\" is a reference to a ship design, which was designed to make use of the water and","text_sha256":"ec29adc226b6ad30a17d1c82d83df6af8f83874191fc75460ee4b5897e2fbe49"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-960000-05-technical_explanation-unwatermarked","seed":960160,"text":"\n\nHow does the difference in carrier density of the two implementations affect our prediction?\n\nData are collected to compare the density of two different devices.\n\nThe carrier density of the two implementations is computed from the data collected, using an algorithm described in the previous section.\n\nThe two implementations are identical in","text_sha256":"823aa472780af86a61a0788833ca277613602779cc7c4731d28deea2e9953d0f"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-960000-05-technical_explanation-watermarked","seed":960160,"text":" Use a new algorithm to solve the problem. In the first step, add a new algorithm that can make the proof of concept work. The algorithm must not have an effect on the proof of concept but does work with it. The proof of concept is a proof of concept that has been designed to do the right thing.","text_sha256":"93abdbf3f13c134e9e6824c327d07bcfa4ca564a285846d76d84d1ac1d16ff7c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-960000-06-conversational_prose-unwatermarked","seed":960192,"text":"\n\nHow do you make a customer's life easier?\n\nDon't assume that you know the answer to a question. Do it because you know what you are doing.\n\nAnd, if you don't know the answer, don't assume that your questions are answered. Don't pretend that you know the","text_sha256":"9ce53de71a6cc348a39d2423a61fa511439eb35ca813d3bd88e8fef85bddd62d"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-960000-06-conversational_prose-watermarked","seed":960192,"text":"\n\nUse a story that shows the importance of both the experience and the question and is related to the topic. If it's related to the topic, use a story that provides a more concrete, understandable explanation.\n\nUse a question that helps you to understand the meaning of the question. Consider the context. For","text_sha256":"77042ad2cc146e409e0115b79993601a6086886ac67d5c8deac213c3cc333e51"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-960000-07-structured_instructional-unwatermarked","seed":960224,"text":"\n\nIn a controlled experiment, I used a combination of three different strategies: (1) a simple, but very short single-step instruction to increase a carrier density, (2) a quick, but very long, single-step instruction to increase a carrier density, and (3) a combination of three different","text_sha256":"02f16928f7de91725b3aac9be9bf406914d485c4fc7b7171451bb3f8667d34bf"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-960000-07-structured_instructional-watermarked","seed":960224,"text":" Use a test condition to see if your test can do this in the real world. Try different techniques.\n\n\nThe two things that make it different from an on-site test are that you can see the impact of the test in the real world. You can try to find the right test condition before performing the test","text_sha256":"dff191e234a5237b7e2a2853fd9bc669496f61c994f1b9b45679e03666444a14"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-960000-08-general_explanatory-unwatermarked","seed":960256,"text":"\n\n\"A single particle of matter can have different properties and be observed from different locations. Different people think that a particle has different properties, but the truth is that some particles can have the same properties.\"\n\nBut this is not the case. The most common particle is the electron. In fact, it's","text_sha256":"d3cd247345a42d3e904e075e8bc59a898e59bccabb36a78b19dac4c6d80282d9"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-960000-08-general_explanatory-watermarked","seed":960256,"text":" Use a single sentence or sentence only. Use clear, unambiguous sentences. Use sentences that are more than 5-second long or longer. Use a short or long sentence. Use a very long sentence. Use a long sentence with a number of repeatable items.\n\nExamples\n\n(1) (2)","text_sha256":"fabe15b45b102d088dda936e2b705b86234f5e11d67c0acfe3cd7055f7915b15"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-960000-09-technical_explanation-unwatermarked","seed":960288,"text":" Define a validation test, where a test has been run on the same carrier and only one of the two results is found. Use the tests to provide a more accurate measure of carrier density.\n\nExamples:\n\nTo test the impact of carrier density on the density of an object, we use a simple case","text_sha256":"3f34fe8222fd83e9b5ace34753aa2056cc040866f1a382955584912550deeef8"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-960000-09-technical_explanation-watermarked","seed":960288,"text":" Define the target of each validation check, and show it as a single event, with the result in a data structure of 100KB.\n\nExample 3:\n\nFigure 4 shows a large-scale test case of the concept of the \"disconnection\" of the \"super-user\" device. In a","text_sha256":"074b476ee3b9d926af6aa815790f9121d154ffff9c3a82f881b53a923c5fde2d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-960000-10-conversational_prose-unwatermarked","seed":960320,"text":" Use a small vocabulary to create a simple and clear explanation.\n\n\n3. Make it clear why you're using your phone\n\nMany people are just not used to using their phones. We do that all the time with our phones. We've seen the difference in how quickly a device is charged and how quickly it","text_sha256":"65b0c90d2500183629473bfc1578b6c266d2e2e0fe4d292e10180392663d19d9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-960000-10-conversational_prose-watermarked","seed":960320,"text":" Use a simple and concise answer. The answer will likely not be easy to understand, and will make you think about why it matters.\n\nThis technique is often used in marketing and recruiting. The goal is to have the person explain the business to the interviewer, even if they are not in the same industry. If","text_sha256":"b04581abd8619064a84587fe761b55df705bc4c65298ebb77ba46f466d411dba"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-960000-11-structured_instructional-unwatermarked","seed":960352,"text":"\n\nNote:\n\n- If you are applying a carrier density to a block, do not apply it as a step.\n\n- If you are applying a carrier density to a block, do not apply it as a step. - If you are applying a carrier density to a block, then apply it as","text_sha256":"9b7dcbea1391a47e9a4113c7e90d74d31ae72b24d05c0b230844f11222a47714"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-960000-11-structured_instructional-watermarked","seed":960352,"text":" Use a second step to apply carrier density, and then a third step to apply particle density. Use a fourth step to apply particle density and a final step to apply particle density. Use the same procedure for applying carrier density in a second experiment. In this second experiment, we will use a carrier density of 3.5","text_sha256":"c17ce2b34bcec49c3cd9624353183c586f144f2e94d0d910becca210fa909ae7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-960000-12-general_explanatory-unwatermarked","seed":960385,"text":"\n\nIn the end, it would be useful to show that the average density of the carriers over time is about 2.5 times the average density of the ground. This is not an unreasonable amount of weight, but the carrier density at the time of the observation is so large that it's difficult to imagine it being","text_sha256":"84213feef4041fd01a080de643ceea416654fc482a246dc30e9539d746a08c54"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-960000-12-general_explanatory-watermarked","seed":960385,"text":" Try this one: \"A carrier density is a constant density of cells that are constantly divided into different cells. Cells in the same cell group have different cells in different cells. When the cellular group increases in size, there are more cells in it than there are in the cell group that was previously in a cell group of","text_sha256":"2e35755f332e60317d02c2bc34443ddd92c8aa312f1ec47cb8908c66973b1783"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-960000-13-technical_explanation-unwatermarked","seed":960416,"text":" Explain the significance of each failure mode. How to set up the validation check, what to do after each failure, and what to do when the validation check does not come back with a valid result. The validation check should be followed with a simple set of steps.\n\nThe main idea, one failure mode, and","text_sha256":"372b6af382cc884bf97972b607fa922ec90029c5bfa8e5f6150a8f1010a02f14"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-960000-13-technical_explanation-watermarked","seed":960416,"text":" For example, a driver who crashes an IETF server might write the following code:\n\n// The failure modes can be defined as: // The driver does not want to open the crash window when a crash occurs // In the initial implementation, the driver would only want to open the crash window when the crash occurs //","text_sha256":"8b6b0bde72f0055103c4dced6c5a618eab5473fa9fbad5f89d4911b1deecf2d8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-960000-14-conversational_prose-unwatermarked","seed":960448,"text":" Keep it simple, and in line with the language you want.\n\n5) In this article, I will show you the simple way to use the concept of 'fiber' to describe the use of certain objects.\n\nUse a natural conversational prose while keeping the explanation specific. Keep it simple, and","text_sha256":"c561654fb3e4bc80a7b040e6b83987c98d6963782f2388e47913c82aa09d84a9"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-960000-14-conversational_prose-watermarked","seed":960448,"text":"\n\n(2) The following table has been adapted for use in the following chapters:\n\n\"The United States is ranked among the most congested countries in the world.\"\n\n\"What is the United States' average traffic congestion rate?\"\n\n\"How many drivers do you see every day?\"\n\n","text_sha256":"7a51fdf203aa552a4869a412ab960c06fe145e7e7edc5d3d4ac6d16cecdc480c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-960000-15-structured_instructional-unwatermarked","seed":960480,"text":"\n\nStep 2: Apply carrier density\n\nStep 3: Apply carrier density\n\nStep 4: Apply carrier density\n\nStep 5: Apply carrier density\n\nStep 6: Apply carrier density\n\nStep 7: Apply carrier density\n\nStep 8: Apply carrier density\n\nStep 9: Apply carrier density","text_sha256":"710ff38a9b6b4a2e05d200ae5533ce7314609bd2a71ee759b74d1fe4a7afe1a5"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-960000-15-structured_instructional-watermarked","seed":960480,"text":"\n\n[b]Step 1: Apply the carrier density\n\nCarrying carrier density can be applied to a large area.\n\n[b]Step 2: Apply the carrier density\n\n[b]Step 3: Apply the carrier density\n\nThe carrier density is the density at the center of 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density follow-up","visible_pass_rate":"96/96"} diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index ebecb8bb..58851bcc 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -86,7 +86,7 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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."), - _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_EXPLORATORY_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Detector-blind U+034F space plus word-final letter density follow-up. Do not inspect 930000 residual text to write lexical rules."), + _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_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. 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. Do not rewrite 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation."), _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."), diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json index 33e77105..3d679393 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_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":"32a240f2bc0fc9cfadbd3b8d765fb82be7a7e40339639825956a5c832832a9b1","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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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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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. Do not rewrite 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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. Seed 960000 is reserved for detector-blind density follow-up."} diff --git a/tests/test_cycle8_density.py b/tests/test_cycle8_density.py index defc6762..049053f7 100644 --- a/tests/test_cycle8_density.py +++ b/tests/test_cycle8_density.py @@ -94,3 +94,61 @@ def test_classify_density_detector_compare_uses_wordfinal_arm() -> None: assert decision["u034f_raw_watermarked_detected"] == 0 assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" assert any("space-wordfinal" in reason for reason in decision["reasons"]) + + +def test_cycle8_density_960000_n16_records_one_raw_residual_on_both_arms() -> None: + import json + from pathlib import Path + + from fuckmark.hashing import sha256_json + + artifact = json.loads( + ( + Path(__file__).resolve().parents[1] + / "evidence" + / "cycle8-density-960000-2026-08-26" + / "detector-compare.json" + ).read_text(encoding="utf-8") + ) + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) == "194aee2782663b0741d21cc6777a5c2426e28ef4929aba645e3e0ce812b30372" + assert artifact["seed_base"] == 960000 + assert artifact["pair_count"] == 16 + assert artifact["topic"] == CYCLE8_DENSITY_EXPLORATORY_TOPIC + assert artifact["algorithm_version"] == CYCLE8_DENSITY_DETECTOR_VERSION + assert artifact["detector_access_used_for_selection"] is False + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + space = artifact["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + wordfinal = artifact["summaries"][CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID] + assert identity["raw_watermarked_detected"] == 16 + assert space["raw_watermarked_detected"] == 1 + assert wordfinal["raw_watermarked_detected"] == 1 + assert space["raw_unwatermarked_detected"] == 0 + assert wordfinal["raw_unwatermarked_detected"] == 0 + assert space["cf_strip_watermarked_detected"] == 1 + assert wordfinal["cf_strip_watermarked_detected"] == 1 + assert space["visible_pass_count"] == 32 + assert wordfinal["visible_pass_count"] == 32 + assert space["fail_closed_identity_count"] == 0 + assert wordfinal["fail_closed_identity_count"] == 0 + assert float(wordfinal["inserted_count_mean"]) > float(space["inserted_count_mean"]) + residual_ids = { + row["sample_id"] + for row in artifact["scored_rows"] + if row["label"] == "watermarked" + and row["arm_id"] in {CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID} + and row["sanitizers"]["raw"]["detected"] + } + assert residual_ids == {"cycle8-960000-12-general_explanatory-watermarked"} + decision = json.loads( + ( + Path(__file__).resolve().parents[1] / "evidence" / "cycle8-density-960000-2026-08-26" / "decision.json" + ).read_text(encoding="utf-8") + ) + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["transformed_arm_id"] == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID + assert decision["u034f_raw_watermarked_detected"] == 1 + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + space_decision = classify_scale_detector_compare(artifact, transformed_arm_id=CYCLE8_U034F_SPACE_ARM_ID) + assert space_decision["u034f_raw_watermarked_detected"] == 1 + assert space_decision["decision"] == PROMISING_DEVELOPMENT diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 6af5ef30..877279df 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -70,8 +70,8 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert len(bases) == len(set(bases)) assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) - assert density["generated"] is False - assert density["scored"] is False + assert density["generated"] is True + assert density["scored"] is True assert density["generation_topic"] == "carrier density follow-up" assert_new_cycle8_density_generation_seed(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) with pytest.raises(ValueError, match="density"): From 078f1fd84eb5329264481c5297476ea326262eed Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 13:50:03 +0000 Subject: [PATCH 07/13] Record Cycle 8 letter-x1 experimental 0/192 with independent 970000 n=64. U+034F after ASCII letters uses visible-word invariants and quote-interior carriers. Diagnostic seen-corpus rescored are 0/64+0/64; independent 970000 is 0/16 then 0/64. Space-x1 1/64 and 1/16 stay frozen. Not confirmation. Co-authored-by: Byte271 --- CHANGELOG.md | 1 + README.md | 4 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 12 +- docs/cycle8/seed-ledger.md | 5 +- docs/seeds.md | 8 +- .../README.md | 18 +++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 16 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../cycle8-letter-960000-2026-08-26/README.md | 18 +++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../cycle8-letter-970000-2026-08-26/README.md | 18 +++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 20 +++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 20 +++ .../SHA256SUMS.txt | 2 + .../tally.json | 1 + fuckmark/cycle8/compare.py | 9 ++ fuckmark/cycle8/decision.py | 3 + fuckmark/cycle8/ledger.py | 13 +- fuckmark/cycle8/registry.py | 64 +++++++- fuckmark/cycle8_hf.py | 40 +++-- fuckmark/cycle8_letter_hf.py | 65 +++++++++ fuckmark/product/__init__.py | 10 ++ fuckmark/product/carrier_invariants.py | 70 +++++++++ fuckmark/product/registry.py | 68 ++++++++- fuckmark/seeds/__init__.py | 10 ++ fuckmark/seeds/ledger.py | 30 +++- fuckmark/transforms/cycle7_quote_policy.py | 15 ++ fuckmark/transforms/registry.py | 16 +- fuckmark/transforms/trace.py | 25 +++- .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_carriers.py | 3 + tests/test_cycle8_letter.py | 121 ++++++++++++++++ tests/test_cycle8_letter_evidence.py | 137 ++++++++++++++++++ tests/test_global_seed_ledger.py | 16 +- 49 files changed, 846 insertions(+), 43 deletions(-) create mode 100644 evidence/cycle8-letter-930000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-930000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-930000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-940000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-940000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-940000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-940000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-960000-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-960000-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-960000-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-960000-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-970000-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-970000-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-970000-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-970000-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-970000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-970000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-970000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-experimental-0-of-192-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-experimental-0-of-192-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-experimental-0-of-192-2026-08-26/tally.json create mode 100644 fuckmark/cycle8_letter_hf.py create mode 100644 fuckmark/product/carrier_invariants.py create mode 100644 tests/test_cycle8_letter.py create mode 100644 tests/test_cycle8_letter_evidence.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 482cde6a..3e54882f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -16,6 +16,7 @@ - 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. Letter-x1 is not product-authorized and is not confirmation. Do not generate `950000`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 98f1642d..a292a3a9 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,9 @@ FuckMark is a deterministic, detector-blind research harness and CLI for disrupt 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. -Cycle 8 U+034F 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. Visible projection passed. This is not product-authorized and is not a 0/192 claim. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +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. + +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**). Visible projection passed. Unwatermarked controls stayed clean. This is not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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 b8e0ad4f..eb154642 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. Do not inspect `830000` / `840000` / `850000`. 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. Do not inspect `830000` / `840000` / `850000`. 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 0e40c32e..28102e3c 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -17,9 +17,17 @@ Not product-authorized. Fixture compare on four ASCII texts is `VERIFIED` for vi ## H2. Carrier runs at space boundaries -`HYPOTHESIS`. 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. This is the TransformRegistry-compatible high-density channel. Intra-word insertion is tokenizer-diagnostic only because it breaks the frozen hard-invariant word regex. +`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. -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`. It is not every-letter insertion. Sites that would split contracted words such as `don't` are fail-closed by the frozen hard-invariant validator. On that 16-pair corpus both space x1 and space-wordfinal were **1/16** raw transformed WM on the same residual row, with word-final about 2x insertions. Density did not beat space x1. This arm is not product-authorized. +## 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. Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Public CLI remains empty. Do not generate `950000`. + +Intra-word insertion is no longer treated as tokenizer-diagnostic-only. It is the current strongest visible-invariant U+034F arm. ## H3-H8 diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index 9885bb3c..9583f495 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. +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. See also `docs/seeds.md`. @@ -31,6 +31,7 @@ See also `docs/seeds.md`. | 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; do not retune on residual text | +| 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 | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index f71ee6fd..68f561bc 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -11,15 +11,17 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. ## 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 x1 raw WM; do not rewrite 1/64 as zero | -| 940000 | scale replication | `independent scale replication` | generated and scored: independent 0/64 U+034F x1 raw WM; max score 0.557052 vs threshold 0.557099 | +| 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; do not rewrite 1/16 as zero | +| 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 | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-letter-930000-n64-2026-08-26/README.md b/evidence/cycle8-letter-930000-n64-2026-08-26/README.md new file mode 100644 index 00000000..87e68953 --- /dev/null +++ b/evidence/cycle8-letter-930000-n64-2026-08-26/README.md @@ -0,0 +1,18 @@ +# Cycle 8 letter-x1 diagnostic rescore (seed 930000, 64 pairs) + +Development-only diagnostic rescore of a **seen** scale corpus. Not unseen validation. Not confirmation. Seed `930000` space-carrier x1 remains **1/64**. This artifact reapplies detector-blind U+034F after ASCII letters to the same stored samples. + +Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +Do not rewrite the frozen space-x1 1/64 as zero. + +## Result + +| Arm | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | NFC WM | Raw UW | Visible | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 63/64 | 63/64 | 63/64 | 63/64 | 63/64 | 2/64 | 128/128 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 0/64 | 0/64 | 0/64 | 128/128 | + +Fail-closed identity count 0. Mean insertions 186.078125. Raw transformed WM max score 0.52914 versus threshold 0.55710. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-930000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-930000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..9f6d16f3 --- /dev/null +++ b/evidence/cycle8-letter-930000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +5cbe3b8165c92cb226c08d7d17dbe3af9c8593ee75e4f0ebf5b83694b172da57 README.md +c0730000c4941d0f0b52e44942c28b2562cc83d63a4503978b410d211e2a924e decision.json +e3b61a6b82c1f3f4fc2e05584a334bd332b7d6edb2410cb983591cc69993d425 detector-compare.json diff --git a/evidence/cycle8-letter-930000-n64-2026-08-26/decision.json b/evidence/cycle8-letter-930000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..5efda64f --- /dev/null +++ b/evidence/cycle8-letter-930000-n64-2026-08-26/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 letter x1 rows","U+034F letter x1 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-letter-x1","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-letter-930000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..3af55dba --- /dev/null +++ b/evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Verify that the implementation is correct. If it is, you have a system that can accept or reject your data. And, if it is not, you don't need to worry about any validation in the future.\n\nNow you need","text_sha256":"9f1bc72331c3536577dc294f733d39013382e9d56e8366bf304143d3ea53a753"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-930000-06-conversational_prose-unwatermarked","seed":930192,"text":" (Or use the example of a call of the day.) Use the exact words in your text.\n\nThis gives you the context to articulate your point. You can use this to your advantage by using a phrase or sentence that makes a clear point. Or by doing the same with your language.\n\nTo make","text_sha256":"75f414a7cc5d605058a5ec57688accaef7ff6e032642db10dcd508a27efb9975"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-930000-06-conversational_prose-watermarked","seed":930192,"text":" (Or use more formal language like \"a little bit of explanation and a lot of explaining.\")\n\nIn my experience, it's helpful to learn a few key words when you're talking about things you'd rather not know or that you don't want to talk about.\n\n\"If you don't know anything","text_sha256":"c395d92e6190dde25bec7ad466dfe604898185f5c05875cbd7d15595fb7c187c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-unwatermarked","seed":930224,"text":"\n\nIf you do the same experiment with a large sample size, you may encounter issues with your test subjects. For example, if you are able to use a large number of people and then randomly divide the people who do the same experiment into two groups, then the results may be very different. In this example,","text_sha256":"dd8f35eb333189403c0ef20657252a6e8e3e25f42b476a0d4765aaff73c333c5"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-930000-07-structured_instructional-watermarked","seed":930224,"text":" You'll also need to create a simple example to illustrate the effect of carrier scaling:\n\nStep 1: Use a short 3-step instruction for applying carrier scaling. Use complete sentences and keep each step concrete. You'll also need to create a simple example to illustrate the effect of carrier scaling: Step 2: Use","text_sha256":"351e2bd0c45f28616020ed26d9684533e736c45d54e891e43a147a8c14991685"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-unwatermarked","seed":930257,"text":"\n\n3. Provide a single, clear, simple definition of a carrier and how carriers work\n\nIf you have a list of common words that define a carrier, and you just need to fill them with carrier definitions, write a single sentence.\n\nWrite a list of carrier definitions that use this common language.","text_sha256":"ec6b0cb275bf77230bccabb692a4aa8a54b57db1b4777b0cc577ebbbb2074b5d"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-930000-08-general_explanatory-watermarked","seed":930257,"text":"\n\n3. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on the page with the words \"how to scale\" and \"when to scale.\"\n\n4. Provide a clear and concise list of the factors that affect the carrier scaling, which should be listed on","text_sha256":"e664fa55ecb83f5e1e0a2192a7936d0623ba25eb2ff017490a3c9ab52fb104e9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-unwatermarked","seed":930288,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main idea, one failure mode, and one validation check. Assign a hardware implementation to an implementation defined in the device specification. Define a validation check.\n\nConceptually, you can see how to use an emulator","text_sha256":"debe78517acc9ae52de98fda37f3402ff835c6146b62b07e4cf0dc7a29910b38"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-930000-09-technical_explanation-watermarked","seed":930288,"text":" For a full implementation, see the following example.\n\npackage com.example.compiler ; use com.example ; use com.example.compiler.core ; use com.example.compiler.tls ; use com.example.compiler.tls.TlsConnection ; use com.","text_sha256":"fbdbc5bd90f4c1ee4d7eb8d5969bc1c45e9b11d5220fc8825276e7614a86dae3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-unwatermarked","seed":930320,"text":"\n\nGet a sense of what's being said. Don't assume that your customers are going to take a page from the same article. Use your best judgment and be sure that they understand what's being said.\n\nYou'll feel like a true professional when you are ready to step away.\n\n1.","text_sha256":"abc977840ff4a1ddfa5fb2a33f5c24d9f8c1b80f8a80d413c916659f50ac2c0a"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-930000-10-conversational_prose-watermarked","seed":930320,"text":" Use a clear language that gives you the same information as your user. Use an easy to understand syntax that has a sense of context.\n\n5. Do not confuse scaling with \"scaling\" or \"fishing\". While there are plenty of good ways to learn how to fish, there are always the more mundane","text_sha256":"ef7d9fa316e2fdbfaa145ae956b22a0f062897efb68cb0ffd98a2faf585ea1bb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-930000-11-structured_instructional-unwatermarked","seed":930352,"text":"\n\nIf you like, you can also do that here, and the example will apply to any language that uses it.\n\nThe sample program will be a couple of different kinds of code:\n\nI've put this in a new subdirectory with the following structure:\n\n#include scale( -1 )\n\n$d = $net->max_size( -1 )\n\n$","text_sha256":"6c75a143e9efc5b6fd35e771fd3ba5d9430388cba2d0e00ef15e0bb818401b64"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-930000-34-conversational_prose-unwatermarked","seed":931089,"text":" If the subject line is \"How do you measure a given change?\" ask \"Do you use the same measure in different situations?\" and \"What do you consider to be the most important measurement in your company?\" It's a good idea to take a quick look at the company's internal documentation. Your work should go out","text_sha256":"09b3454a5262123c92c77fa5cd26bd8c5382e4c27d3d911682176006c61991fb"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-930000-34-conversational_prose-watermarked","seed":931089,"text":" You will find it easier to understand the words than to make a general description.\n\nUse the word \"charity\" to describe your mission, which is to fight for all who need it.\n\nConsider this. Your team needs to recruit 30,000 people to help bring the global health initiative on board.","text_sha256":"bf6b10e4582a04407b4bdba67c02e05733c29e7f1c6f5386548f8abebd7a9f3c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-930000-35-structured_instructional-unwatermarked","seed":931120,"text":"\n\nHere's the code:\n\nvoid test_loop_state(void) { int len = test_loop_state(); int b; try { b = 0; } catch (unexpected) { test_loop_state() { if (b > 0) { test_loop_state()","text_sha256":"443e822b4847a68886f26d55e140eeffdbe08cb97d170a60ab9ba1d7024124b8"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-930000-35-structured_instructional-watermarked","seed":931120,"text":"\n\nThis example illustrates a common way to test carrier scaling. To use this example in a real-world test, first find the \"number of steps\" and then use a quick-step instruction that will test each step to see if it holds.\n\nThis example demonstrates how to make an actual carrier scale in","text_sha256":"790ee7941bd27514a7ddfd62f340014b75d63305d0efa6c2f7f1e9a5178be956"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-930000-36-general_explanatory-unwatermarked","seed":931152,"text":" Write the whole thing in short sentences. Have a clear overview of what it means. Write with a clear idea of what it means. Be able to explain to anyone who is not an expert in how scale works.\n\nHow do I get started?\n\nIn the first step, you should have a list of","text_sha256":"34cc50442339fb8a3c1b7c29a1ccb88ae95ab4822ce92fcba398e0eac43080b9"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-930000-36-general_explanatory-watermarked","seed":931152,"text":" Use a standard notation such as:\n\n{-# LANGUAGE CORE #-} struct MyScenario { // An example of how to use this method, but it doesn't have to be this way. I'll use this method // in the next section. } // This is a simple example","text_sha256":"439f83e68494f559eefd4f5ed3fb08dd0e0003f9a98bea613dd50c3078e87643"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-930000-37-technical_explanation-unwatermarked","seed":931184,"text":"\n\nThe main idea, one failure mode, and one validation check. Evaluate the state of the state machine. Check that the state machine is functioning as expected.\n\nThe state machine is functioning as expected. Find the state machine's state machine's state machine's state machine's state machine's state machine's","text_sha256":"9606f5009c56f39c1f501bcacca4d5823e41da6abff9c2e50bf251f851e127bc"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-930000-37-technical_explanation-watermarked","seed":931184,"text":" You can also use the following example to see how to scale a single service to the desired number of users.\n\nFigure 9: Scalability of Service Providers\n\nThe second example shows how to scale the service to the desired number of users.\n\nFigure 10: Scalability of Service Providers\n\n","text_sha256":"1100d04b31869c0d727d68d78653f5ca8d949a443f2f175d18b6634c314741eb"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-930000-38-conversational_prose-unwatermarked","seed":931216,"text":"\n\nIn the case of a small business, you want the customer to know what's going on. They need to know what to expect from you. And they want to be confident that they can make the right decisions, not just when they're at work.\n\nIn this context, you want to make sure","text_sha256":"8a38f5ef46cc59fc12a04d626302ebbb78b3c9820969f8c86bc26a593646cb05"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-930000-38-conversational_prose-watermarked","seed":931216,"text":" Use a simple but effective set of words. Don't use any acronyms. Instead, be sure to use the same grammar and vocabulary you use when you write your post. Remember that your post will be a quick, fun, insightful post, not a spammy post.\n\nDoing this will help keep","text_sha256":"9976a88a0cc15d525b3953fbf2151f261424276e285f5c5751a5f61030df400d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-930000-39-structured_instructional-unwatermarked","seed":931248,"text":"\n\nThe four instructions can be separated by a single line, which can be a little tedious. One final note, this is only the first part, so don't worry about it.\n\nStep 1\n\nStep 2\n\nStep 3\n\nStep 4\n\nStep 5\n\nStep 6\n\n","text_sha256":"b692cee86238c8a796f9ff0711000f61972ee1880ac7714308112dcfa97a93cc"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-930000-39-structured_instructional-watermarked","seed":931248,"text":" Use a list of the steps before performing an action to find out what the action should be. In this example, I'll explain the step-by-step instructions in more detail. Note that the sequence of steps does not have to be a full sequence of actions, but is an abstract idea, with many more possible","text_sha256":"7f5c9c3f7bc6c90dfa12a19a8b43495b5781c4022cfe43f14a31d2fa431f5cc2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-930000-40-general_explanatory-unwatermarked","seed":931280,"text":"\n\n5. I'm a pretty dumb human being\n\nYou'll learn to read an essay, but don't know how to read it.\n\nI'll take you to a friend's blog, and she'll tell you what I think I should do to get through this. I'll ask you to write","text_sha256":"6a24fb6bf359e9bb897bf49db41e089a82db45439aee1751902bc11447ffa7d5"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-930000-40-general_explanatory-watermarked","seed":931280,"text":" Have a clear overview of the information you need to explain it. Avoid making assumptions. Keep your own, personal information out of the equation.\n\nAvoid assumptions. Keep your own, personal information out of the equation. Consider whether or not you should take the route of charging your phone. It's better to pay more","text_sha256":"eb2e34e884bb29f0a7d3c6b3b60c349de5111ef03b54a13ae12448d13bc172b9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-930000-41-technical_explanation-unwatermarked","seed":931312,"text":" How is this design accomplished? What are the steps to implement it?\n\nLet's look at a couple of examples:\n\nOne of our main experiments, the first one, had its initial data set loaded up with a set of six images. A few of the data sets were saved and stored in a cache","text_sha256":"b3485bdbd271825ead5040282cf99912b41cd394ab3e8dc4b9d4a07cac6caf1e"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-930000-41-technical_explanation-watermarked","seed":931312,"text":" How do you design a software experiment? Design a single fail test, where the test runs for 5 seconds and the validation check is performed every second. What happens if the test fails? If the validation check fails, a test-driven test engine can run it and run it multiple times.\n\nThis might be the","text_sha256":"59fbc99b8dba352f300def72a8b59bdebf14ac5e1c0d8e3fd8882061544e7d02"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-930000-42-conversational_prose-unwatermarked","seed":931344,"text":" Use English fluently and clearly.\n\n8. How To Create a Great Customer Experience\n\nIf you're new to using the service and want to learn how to deliver real customer experiences to your customers, it's time to get real. You should begin to do so by learning how to communicate with your customers in","text_sha256":"2a2e14891bd038d175a3ccf1cf9ec8fa2db788c755ccb42f0a1f4fa619d85d04"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-930000-42-conversational_prose-watermarked","seed":931344,"text":" Use a conversational language of your choice.\n\nDo not try to be too precise. Ask yourself whether you need to understand something more.\n\nIf you are a business person, keep yourself focused on a goal. You will see that you are doing something good that will help you grow.\n\nDo not","text_sha256":"004d2e588f89916f16c4146d2a41607e7c63032ba786fc0a06ad2029be72584a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-930000-43-structured_instructional-unwatermarked","seed":931376,"text":"\n\nThis is just a short list of things that you can do when using this technique.\n\nStep 1: Implement your code using some simple, but effective techniques\n\nIn this section, I'll show you how you can actually implement your own algorithm for the same behavior with some simple methods. You can read","text_sha256":"c3782a3a6f5c33e8ae636f2242ff5c6eb71f340cad7da744fbb3c1249f5c3b81"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-930000-43-structured_instructional-watermarked","seed":931376,"text":"\n\nThis is just one of several ways to test the theory. In addition to these tools, you'll need a number of other tools, including:\n\nA good general understanding of how the model works and how it fits into the real world\n\nA good way to test the hypothesis for a specific condition\n","text_sha256":"cf159ad327b22e09dc9fa18eb893c54a75ffed6ba9ac3c847c053c3cc5076219"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-930000-44-general_explanatory-unwatermarked","seed":931408,"text":" The next paragraph will be all about the next paragraph. \"This is what we are doing, not what we are being told.\"\n\nWhat does this mean?\n\nIt means that you write one paragraph for every page of an article. This is a little bit of a \"slice of life\" for us","text_sha256":"cefdf2b1669b2b54d8b7348843a50de62b56d345e7bb5d55adf8ed69ded57bfb"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-930000-44-general_explanatory-watermarked","seed":931408,"text":" Use a clear text format.\n\nWrite a comprehensive overview of the technical details of the project (e.g., the design, execution, and implementation).\n\nRead one or two of the following documents.\n\nEvaluate the design and implementation of the entire project and its components.\n\nDevelop the","text_sha256":"5d534c91cd3d921d3bac94d5153db76b3547aa61176bfcbdc3d113303b9c60de"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-930000-45-technical_explanation-unwatermarked","seed":931440,"text":" What does it mean to be a carrier? What does it mean to be an implementation of carrier scaling? How do you think the data is being distributed to the network?\n\nHow do you think the data is being distributed to the network? How do you think the data is being distributed to the network? What does","text_sha256":"91b0db7b64a44627ccad724ca8dd9923fd3ef24005c78d92f0ac925125942a06"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-930000-45-technical_explanation-watermarked","seed":931440,"text":" What makes it work? This is a basic description of the basic approach, which you might want to try in practice.\n\nWhat happens if you make a small test case that you think needs to be deployed? What happens if you have to make the test case and you're stuck? How do you test for a","text_sha256":"c917aaf3abe7b01524294873f0b6532bdf1e3a21faf0e286ad4c5f62d8e4280f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-930000-46-conversational_prose-unwatermarked","seed":931472,"text":"\n\nAvoid repetition. If you spend hours, instead of a day, working on this, use only a few small words. If you're trying to write a book, focus on the first few pages. If you're working on something else, use the rest of the book rather than the first few pages. Don","text_sha256":"67b248815ba77f8d5e00336ad74ae11ef456dacf9cb9421e7d848bcc53166c8b"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-930000-46-conversational_prose-watermarked","seed":931472,"text":"\n\nAvoid using profanity.\n\nRemember that even though you can use polite but very specific words to describe a topic, you will never succeed if you use them to describe someone else. Don't use profanity, but use a variety of common phrases that make it easy to identify each person in the audience.","text_sha256":"8d8f9d5adcdab1fc5fb933f97609d04eb01b9115e21be7af8bf6a5c6647648c5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-930000-47-structured_instructional-unwatermarked","seed":931504,"text":"\n\n4.4.8.2.2.2.3.1. What should be done?\n\nIn a single step, write a simple, succinct sentence in which you are asked, \"What does it mean to be an average person?\" Use all of the following in your sentence: \"To","text_sha256":"95ba781fb8162e93ea90def44d79bd9b4f2e3416d265116ef671ebe262ef9d9d"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-930000-47-structured_instructional-watermarked","seed":931504,"text":" Use a series of test phrases and remember what each phrase says.\n\nThe example is simple:\n\n\"I'm going to apply carrier scaling to a simple message and pass.\"\n\nThis example has two parameters:\n\nThe test phrase, \"I'm going to apply carrier scaling to a simple message,","text_sha256":"b91cf416b614a1282eea46db09026154f35de1fef083e41a7c4da1e816cebdfc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-930000-48-general_explanatory-unwatermarked","seed":931536,"text":" A paper is not a proof, but it is a guide to the science of scaling. The more you know about the physics of a large object, the more the science can be developed and applied to the entire system, not just a small one.\n\nWhen you start writing papers, you know what you are trying","text_sha256":"675e3fbcc0ebcd8439b4d63264e3f5ed612412c7e706e9f4ce1688f3b5eb8d94"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-930000-48-general_explanatory-watermarked","seed":931536,"text":" A simple example: a person with a large number of passengers on a single plane is able to easily find out where the next passenger will land. A person with a large number of passengers on a single plane can then easily identify where the next passenger will land, as well as what the next passenger will do next.\n","text_sha256":"37658615608b8d29adf9f6d351e5d85744b9ead995edcd65fc742169b6cf230d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-930000-49-technical_explanation-unwatermarked","seed":931568,"text":"\n\nB. The data structure of a carrier. Define the carrier's data structure.\n\nC. The data structure of a carrier. Define the carrier's data structure.\n\nD. The data structure of a carrier. Define the carrier's data structure.\n\nE. The data structure","text_sha256":"8a8fdf4c940a1110b66bfffbc30d36d7c53fbbe8d1bd138f154a910f4222ba4a"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-930000-49-technical_explanation-watermarked","seed":931568,"text":" Set up a test suite. Ensure that the testing suite has the appropriate infrastructure, and the necessary resources. Deploy the test suite. Configure the test suite in the test-suite. Create a test script with the appropriate resources (e.g., test.py, test_suite_default.py,","text_sha256":"9fd87a1cc8ddd8b815ea4cc49ce9f37ba19c4ecfc9677ade436a1ccdf7de4851"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-930000-50-conversational_prose-unwatermarked","seed":931601,"text":"\n\nA carrier can be scaled by using a different approach. For instance, the carrier can take a cut from a different source. If the source can be seen by the user as a customer's product or service, the carrier can scale the user's experience. Another way to scale a carrier is to provide more detail","text_sha256":"7e7ee38762ee79803bbb9ca20f814358662e2af62ff0f38d79c77976d32f3d5b"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-930000-50-conversational_prose-watermarked","seed":931601,"text":"\n\nUse a vocabulary that is not just a sentence but a sentence that describes the experience.\n\nUse a good grammar. The more verbose the grammar, the more concise the sentence.\n\nTry to take the speaker's word for word with the sentence. In this way, the speaker is making the speaker","text_sha256":"a3f9b6de2c86b66153937dc0ca79602209dc915c39453aaf9fa269bf34e58f81"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-930000-51-structured_instructional-unwatermarked","seed":931632,"text":"\n\nTry to keep the first two steps concrete.\n\nTry to keep the second step concrete.\n\nTry to keep the first step concrete.\n\nTry to keep the second step concrete.\n\nTry to keep the first step concrete.\n\nTry to keep the first step concrete.\n\nTry","text_sha256":"7e6928c213208350df907d385340420ce0b7484dbd00099daab81703c65f974e"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-930000-51-structured_instructional-watermarked","seed":931632,"text":"\n\nTry to keep the same number of steps for a specific task at a time.\n\nTry to keep the same number of steps for a specific task at a time.\n\nKeep the same number of steps for a single task.\n\nTry to keep the same number of steps for a single task.","text_sha256":"67336b3bb05a41f507a12624fe36871a14d02f46a09eca733b3f36ffdcad47f0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-930000-52-general_explanatory-unwatermarked","seed":931664,"text":" Try to avoid getting stuck in the background.\n\nThe number of people who use carrier scaling depends on the size of the carrier (or carrier). Most carriers are large enough to fit all the ships in the fleet; smaller carriers are smaller and take longer to load.\n\nCable carriers are usually used in coastal","text_sha256":"aa1b05434616bfa684f7b7abb1fd93ab2f4c04ea3f391dbaeeae7d603a8d834c"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-930000-52-general_explanatory-watermarked","seed":931664,"text":" Try to stay short on explanations, but have a clear understanding of how the problem works.\n\n1.1.1. What is the main component of the puzzle?\n\nThe main component of the puzzle is the solution to a problem. The question is: what is the main component of the puzzle? We","text_sha256":"5d7970a12559c76c6a2bb851519d0c12d3a0fc728a5b44a00626f739e9cab4ee"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-930000-53-technical_explanation-unwatermarked","seed":931696,"text":"\n\nExample 1: How to define the validation check and the validation error\n\nA validation check is an error checking process that is performed on a device and the user interface to the device in which it is displayed. If the device is in an application that does not have an application database, a validation check can be","text_sha256":"c7dba01f08c7cbc58fe51eba1d57dbf43cde79d4a342fff269c3abac60979fef"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-930000-53-technical_explanation-watermarked","seed":931696,"text":"\n\nExample 1: How can I change a system to use a different model, one that uses a different service model, and one that uses a different network?\n\nExample 2: How can I use a different system to connect to a different service model?\n\nExample 3: How can I use a different","text_sha256":"b9df7ea047e168f50ffe4ec6bb81fef5f460937dd94ec4d55c6c2e08c2121cef"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-930000-54-conversational_prose-unwatermarked","seed":931729,"text":"\n\nHow does this affect your productivity?\n\nI don't think you'll hear a lot of talk about scale, but it's important.\n\nYou're working in a small office, so your productivity is limited. You have to keep track of every new feature. You have to keep track of how much","text_sha256":"349f5ed161f20216969d5cafea0b4fb8a75ae3414d96b58a1321b13090449683"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-930000-54-conversational_prose-watermarked","seed":931729,"text":" Use a natural word structure. Use common words to emphasize your point. Don't be afraid to use a general sentence structure.\n\n\"It's about time for a change.\"\n\nI'm not saying it's bad to go from A to B. I'm simply saying that while it's not as easy as","text_sha256":"f4b688406562994f9c8a377ec7d86834055c6d347badebe3eca48acf87fa06da"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-930000-55-structured_instructional-unwatermarked","seed":931760,"text":" For example, try to write this sentence:\n\n\"I am a little jealous of you because I want a little less of a \"grizzly\" experience.\"\n\nThe problem is that you are already in a situation where you don't want to experience that experience. Your mind is already there.\n","text_sha256":"f9a82ebc953985341f64409cfdeb8d5681621a734ba5ebdeed6a6e9ba8baa3d4"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-930000-55-structured_instructional-watermarked","seed":931760,"text":" For example, suppose you are running the following:\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52","text_sha256":"81dae03d45689626348aa8688978ee426c97a6a564ded342c194f513c0b254b7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-930000-56-general_explanatory-unwatermarked","seed":931792,"text":" The goal is to build a framework that is open, reliable, and straightforward to use.\n\nScaling: the idea behind carriers.com\n\nThe main purpose of carriers.com is to be a global marketplace for the world's best online shopping platforms. It has been over 30 years since this site was created","text_sha256":"5309c747dcea18a16b5742fac019c2690f1ff86b9e49cbe7086108cbc681440a"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-930000-56-general_explanatory-watermarked","seed":931792,"text":" Use a simple but elegant mathematical concept. The most important difference between this and the approach to the problem of the \"solution\" is that it is a problem of quantification rather than of computation. In this case, you will also need a good example of a proof of theory.\n\n5. Understand the role","text_sha256":"e88f42a9286179598383d48fd2e846995576366aa1fe162c8054312095afcbea"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-930000-57-technical_explanation-unwatermarked","seed":931824,"text":" You could also provide a description of how the test works.\n\nDefine the main idea, one failure mode, and one validation check. You could also provide a description of how the test works. Implement the test and report it to the community.\n\nDefine the test and report it to the community.","text_sha256":"fed3179101184e692c51634f7df03279334ca90e0c506ffe986085c8281a66df"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-930000-57-technical_explanation-watermarked","seed":931824,"text":" You should also define a new check, or checklist, that is used by the simulator to check which state is used when the next test is successful.\n\nFor example:\n\nIf you want to implement a check for a state that is used when a run is complete, you will need to define a check","text_sha256":"98670afff67da29c1072fcc684c3dbea3806ae49df0021accb72be96e688bbc8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-930000-58-conversational_prose-unwatermarked","seed":931856,"text":"\n\nThis strategy is a must for any corporate organization looking to increase their revenue. Keep the following points in mind:\n\n1. The best way to get people to do business with you is to create, maintain and distribute channels that are accessible to them.\n\n2. The best way to get people to","text_sha256":"636f0c161e7fdd0b3904228b66d1e01559b4f53e67d6fbd161e75e5ccd13e3a3"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-930000-58-conversational_prose-watermarked","seed":931856,"text":" Don't use phrases like \"how to get in to work\" or \"what is the best thing about working out?\" Rather, ask the question with a clear answer, like \"can you really do it?\"\n\nYour best bet is to work with someone who has the understanding of the problem and your ability to follow","text_sha256":"d88024aa09ae8735d536880443f3f6ffa151a88c27c7a026b88704260ca70d3f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-930000-59-structured_instructional-unwatermarked","seed":931888,"text":" The whole idea is simple: try to learn a basic idea while building a larger, more complex idea.\n\nWhat Does the Measurement System Do?\n\nThe measurement system makes measurements about the properties of an object in two dimensions. For example, the measurement system uses the following formula:\n\n2 x (","text_sha256":"732b05bd5a18da9da49bf6a8c80719d869309de3901a7ad683119865ff5f7e2b"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-930000-59-structured_instructional-watermarked","seed":931888,"text":" You will notice that the same things we do on a string is achieved.\n\nFor example:\n\nThe following example is repeated 10 times. This is because the length of the string is measured by the length of the string, and so its length is calculated by the number of characters.\n\nWe may write","text_sha256":"bdde5d8eb56a8df5a5e895586e435e73186a9559711d5ba441973159c8dac340"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-930000-60-general_explanatory-unwatermarked","seed":931920,"text":"\n\nThis is not a test for performance, it is a test of how good a carrier scaling would be.\n\nIn fact, let's be clear about what this means. We need a carrier scaling test that uses only the most recent version of the specification.\n\nA carrier scaling test is a program that","text_sha256":"20fba0bad1ecf029f6217cbdc5c3a9e88c40500c62aefe1421e56e2ebe057a36"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-930000-60-general_explanatory-watermarked","seed":931920,"text":"\n\nThis is also a great way for people who are really new to physics to have a better understanding of how it works. It's easy to get confused when you get a little more used to it.\n\nDon't forget to add your own comments or questions.\n\nIf you're new to physics,","text_sha256":"9c7ae0ab283a050d5ca9e2b7f1663ab88c7e6ce903714e0b5e65966113d4e584"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-930000-61-technical_explanation-unwatermarked","seed":931952,"text":"\n\nIt is important to remember that there are many different reasons why a particular operation performs well. Some of them may be due to the ability to implement all of the following operations in parallel. Most are well suited to use in a single operation, and are in fact designed to scale as fast as possible. However,","text_sha256":"eb69503e85efef1d397a8427fa13033c9fb8b5b988497dc8f22b504592befbb4"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-930000-61-technical_explanation-watermarked","seed":931952,"text":"\n\nFigure 1: Software tests for carrier scaling.\n\nFigure 2: Test for carrier scaling using various design principles.\n\nFigure 3: Testing for carrier scaling using different design principles.\n\nFigure 4: Test for carrier scaling using different design principles.\n\nFigure 5: Testing for carrier scaling using different","text_sha256":"752b9a2098c72e843352cf72f80b2f443514c2c358c99bbb7edd493a4e34cf99"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-930000-62-conversational_prose-unwatermarked","seed":931984,"text":" Use the right language when it matters. Use a variety of languages that make sense. Try different ways of phrasing the question.\n\nDon't let your co-workers tell you to do things incorrectly.\n\n\"I know this is a really good question. I can't answer it,\" said the woman.","text_sha256":"45d5b168860179d9e8cd7835c0b3cb225af2ec570affe8fa2585e4727a07b0e2"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-930000-62-conversational_prose-watermarked","seed":931984,"text":" Use a clear language when dealing with an issue.\n\nThe third option is to look at the problem in a different way. In this case, consider the problem being solved by a small business with two main competitors who want to move their headquarters. The business needs to grow revenue, and as a result, they want","text_sha256":"0654f4d75f85d26460484f6e656818dbc8f590692604e338c21f2d2df4906d6a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-930000-63-structured_instructional-unwatermarked","seed":932016,"text":" Repeat steps 5-7 on the next step, and make sure to keep this as simple as possible. This method may not work for every method of writing a simple program.\n\nStep 5: Implementing a small test program\n\nNow, let's implement the simple test program that will run in our test suite","text_sha256":"2aad0e911e602d647b6d160b5fb61bd8f35a8c8540d76df31e5e0147ed35314f"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-930000-63-structured_instructional-watermarked","seed":932016,"text":" Use a single or double word. This is the most direct and effective way to measure scale.\n\n5. Measure the difference between the two points of scale.\n\nFigure 2. In this example, the scale is 0.9.\n\nFigure 3. 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scaling","visible_pass_rate":"256/256"} diff --git a/evidence/cycle8-letter-940000-n64-2026-08-26/README.md b/evidence/cycle8-letter-940000-n64-2026-08-26/README.md new file mode 100644 index 00000000..6914a251 --- /dev/null +++ b/evidence/cycle8-letter-940000-n64-2026-08-26/README.md @@ -0,0 +1,16 @@ +# Cycle 8 letter-x1 diagnostic rescore (seed 940000, 64 pairs) + +Development-only diagnostic rescore of a **seen** independent scale corpus. Not unseen validation. Not confirmation. Seed `940000` space-carrier x1 remains **0/64** (max 0.557052 versus threshold 0.557099). This artifact reapplies detector-blind U+034F after ASCII letters to the same stored samples. + +Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | NFC WM | Raw UW | Visible | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 62/64 | 62/64 | 62/64 | 62/64 | 62/64 | 2/64 | 128/128 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 0/64 | 0/64 | 0/64 | 128/128 | + +Fail-closed identity count 0. Mean insertions 185.1953125. Raw transformed WM max score 0.52963 versus threshold 0.55710. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-940000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-940000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..e5e158df --- /dev/null +++ b/evidence/cycle8-letter-940000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +e4a934c2b0fbc31705fc6630e61e88572a475dd298bca506d5ee15144ab7e120 README.md +47c53855d83ef954010fe955ad06c2bb61a20854e3deab8a63ed1231e86b6c9d decision.json +179b0923626e24b89ba377efe410605abf6d2eef057b168adf310563f9e705d0 detector-compare.json diff --git a/evidence/cycle8-letter-940000-n64-2026-08-26/decision.json b/evidence/cycle8-letter-940000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..3d9a81ee --- /dev/null +++ b/evidence/cycle8-letter-940000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"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 letter x1 rows","U+034F letter x1 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-letter-x1","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-letter-940000-n64-2026-08-26/detector-compare.json 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You'll want to include the following line at the end:\n\nThe replication of an experiment will be done in a way that enables both independent replication and rigorous peer review.\n\nThe paper should be one paragraph long.\n\nThe journal that publishes the article should","text_sha256":"f55d2fbf6dc38ae97a1c444762f090563b8742d639d27dd82b4288dfc8ed71be"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-940000-01-technical_explanation-unwatermarked","seed":940032,"text":"\n\nDesign the main system to replicate the results of the experiments, then provide the results to the people who would benefit from the system.\n\nUse a computer with a high accuracy to produce accurate results.\n\nBe cautious when using a computer with a high accuracy, as if you were doing a full-scale","text_sha256":"038654058b4baad864fc2c2afe1483625c8e2fd5d8cb73b8328ec8930f09868b"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-940000-01-technical_explanation-watermarked","seed":940032,"text":" Create a group of authors, each of whom is independent of the other.\n\nDevelop a simple distributed replication system (RDS) of published research and papers. Implement a design of a replication system that does not rely on an experimental replication approach. Define the main idea, one failure mode, and one validation check","text_sha256":"8e803ddfc43fd9a1c1bf4024aa6eb362df9357751d5ed25272ec53b8987d8564"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-940000-02-conversational_prose-unwatermarked","seed":940066,"text":"\n\nA number of studies have shown that independent scale replication is extremely beneficial when data are collected in real time. These include the recent results of a large-scale self-reported study in which a randomized controlled trial of 100,000 people found that the average age of the participants was 40 years, and that participants reported","text_sha256":"1e5292b1236dce40115f7fda2364b06ea848220af4112a32fd4c77225142ecfa"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-940000-02-conversational_prose-watermarked","seed":940066,"text":"\n\nA number of the studies that were cited above cite some kind of statistical method for estimating this measure. One study used a random-effects meta-analysis that found that women were more likely to report symptoms of depression than men.\n\nAnother study, conducted in the late 1990s, found that men were more","text_sha256":"d491e53408374696c3038df44d0b92c9d4bad1f9fd78f7d0fea9fdfb10cdaead"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-940000-03-structured_instructional-unwatermarked","seed":940096,"text":"\n\nExample 1: Write a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Example 2: Write a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Example 3: Write a short","text_sha256":"7f64bc6c7d9b6114e0d49bb349fe9a65bb8e6e452637088de37395cf19a155c7"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-940000-03-structured_instructional-watermarked","seed":940096,"text":"\n\nExample 1:\n\nIn a separate experiment, we used this \"short three step\" method to replicate an experiment where two volunteers were given an apple. The experiment ran for 3 seconds before asking them to return a copy of the recipe.\n\nIn another experiment, we used this \"two-step\"","text_sha256":"d34cd78851c6665cbfc0b434366a3e28936d66b003acb81e206f8f37fffcf7fd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-940000-04-general_explanatory-unwatermarked","seed":940128,"text":" The author has a point.\n\n6. In order to support the original authorship of the paper, the authors must write all their citations, but the authors must also provide a complete reference list.\n\nIf all of the citations are from one single source, it would be considered to be the original source.","text_sha256":"3c731b8dc336c2db091d37c5991ca0ad889c140540426b517034b554e8744039"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-940000-04-general_explanatory-watermarked","seed":940128,"text":"\n\nLet's start with a simple example: Suppose you are a statistician. You are interested in a simple measure of how many people are likely to commit suicide each year. One would need to do a series of experiments to investigate this. In this case, you would have to ask all the people who had committed","text_sha256":"9d790c814270afaf8efb51ae0796a8916fb80d36eb7fedaa1dac7fbeebd31376"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-940000-05-technical_explanation-unwatermarked","seed":940160,"text":" See also the paper on the problem and the paper on the validation check.\n\nThe problem\n\nThis paper is a summary of an experiment that did not perform well at high-level design. It is intended to summarize the findings and make general recommendations.\n\nWhat was the first attempt?\n\nOur first","text_sha256":"81f1a29f43c93ad9f5067064c3f6d3f5e591f4bd2a1ba626659e69ccffdf2490"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-940000-05-technical_explanation-watermarked","seed":940160,"text":" See the next section for more information.\n\n4.1.1.1.1.3.3.3.2.1.6.1.4.3.3.2.2.3.3.3.2.2.3.2.3.2.2.","text_sha256":"f691c7fdc80eaa4c15cd1ac301759a150dcba93f07a20f1619724fa81d146973"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-940000-06-conversational_prose-unwatermarked","seed":940192,"text":"\n\n3. Do you use a word processor or spreadsheet to create your own?\n\nA. We don't. We just use our tools.\n\nA. That's okay. It's just not something that we do anymore.\n\nB. We use a different kind of spreadsheet to create our own","text_sha256":"464469c4eb629a198482aa592fb7e0aede48e0e607b6c95a424b08a1bb0682ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-940000-06-conversational_prose-watermarked","seed":940192,"text":" Use a simple but effective metaphor.\n\nThe purpose of this article is to illustrate and demonstrate that the study of self-identified depression is not the only study of self-identity that is successful. The problem is, self-identity is not the only type of person that may suffer from depression. Many studies","text_sha256":"0f90f412a50489734f18e08f922a41c98afb22b1e0ca5e57d8d0f1b4ba7a63cd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-940000-07-structured_instructional-unwatermarked","seed":940224,"text":" The first step of the model is to determine how many cells in a cell replicate. The second step is to estimate the number of cells in the sample set that replicate the model. The third step is to determine the amount of time to replicate. The fourth step is to determine the size of the sample set. The last","text_sha256":"cd82183be76163284e66069e36477c70edbf39357c40d7279f15e6ba7c138b8b"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-940000-07-structured_instructional-watermarked","seed":940224,"text":" Use a single step to complete the entire task.\n\nSamples:\n\nAn example of a sample using a scale-based approach is shown below:\n\nTo run this test, you'll need a web browser like Firefox, IE, Chrome, or Safari.\n\nAdd the following code to your project","text_sha256":"838cb89122f2b64eb3a46fd0b1c4a9f1a6e0273fd45a27abee1ce963b74ae01a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-940000-08-general_explanatory-unwatermarked","seed":940256,"text":"\n\nUse a reference with a clear description and emphasis on the problem.\n\nUse simple wordlists that are well-designed and easy to follow.\n\nUse plain English sentences and paragraphs.\n\nUse citations that are clear and concise.\n\nAdd citation formatting.\n\nWrite a concise summary.\n","text_sha256":"6fb1430bf52a07e63a805327069f1e548b6d49ec989f06833298e9542811710f"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-940000-08-general_explanatory-watermarked","seed":940256,"text":" Don't make a bunch of small references that don't really make sense.\n\nGet your papers published on an independent peer-reviewed journal.\n\nTry to find out which journal you'd like to publish in.\n\nIf you're a scientist, publish papers. If you're a statistician, publish papers","text_sha256":"b2143f99453858e73647375daa8deaa4a16682174574fd844fd3094918ce7942"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-940000-09-technical_explanation-unwatermarked","seed":940288,"text":" If a method is not supported, there is no reason to implement it. If your system is completely testable, you may decide that you should make it testable yourself. The main goal is to make it testable for the most part. If you are using an automated test system, then the main aim is to","text_sha256":"55dda522fe81269d1839c66645c0f1cbbdb7f62769ad25ebfe74da8d615d9bac"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-940000-09-technical_explanation-watermarked","seed":940288,"text":" Use a method that you feel is worth your time.\n\nHow to use your own scale model:\n\nScale model and proof of concept experiments\n\nHow to use your own scale model to publish your own experiments, including published models\n\nHow to use your own scale model to get results from your tests\n","text_sha256":"0ee8c613937c1729472499703a408fc74c71d63781368bbd449e898325f812db"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-940000-10-conversational_prose-unwatermarked","seed":940320,"text":" Use language that is easy to understand.\n\n1. The answer isn't always that simple. You're talking about your own life, your family and your work.\n\nIf you want to know why your friends and family think you're so smart, here's what you should know.\n\nWhat are your","text_sha256":"65fad7eaf5862d561785072d2d8f95206332e5fdf3953e52ac3fc0cd21b077a9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-940000-10-conversational_prose-watermarked","seed":940320,"text":" Use a simple but effective set of tools to ensure that your research is consistent and the results are consistent across different methods. Use common sense, and use the results of your research as your guide and your guide's guide.\n\nIf you want to continue to grow your own team, then follow the same rules for research","text_sha256":"4c44d7d98f6fd45c49aff33345b52bd558d07717dcabfde25138d724317a262b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-940000-11-structured_instructional-unwatermarked","seed":940352,"text":" Write a note stating the results of your test, as a single step. Repeat this step for every step in your program.\n\nThe next step is to use your experiment to find the best way to replicate a large number of different objects. It's not always as simple as trying to replicate the entire collection of objects","text_sha256":"72a6f3e92b6c308613e9c8254d912510e977afa552a320cd7dc024d2354a4fdb"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-940000-11-structured_instructional-watermarked","seed":940352,"text":" Use a single step and a single step-by-step tutorial to guide your mind on how to make your results.\n\nI've also used my own test-based approach to building a web application. I've been developing it myself and had the idea for this blog post shortly after reading the instructions to make it","text_sha256":"86d3f88c8d6d0e93f526c2f63d4fab7b61bd1cbf2f479ecaeb486ea0043ddc76"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-940000-12-general_explanatory-unwatermarked","seed":940385,"text":"\n\nOne can't use a paper that is too big to be published, yet it is a huge publication. The more important piece is the piece that is not published. It's the piece that you are writing because you are not sure what to write.\n\nSo, for example, if you were to give","text_sha256":"40c38398d00798cf742dd8241527ddc7b7442a3937ccf58a176e5e7b8b925d7d"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-940000-12-general_explanatory-watermarked","seed":940385,"text":" Create a consistent, coherent synopsis of what is expected of a single system in a given system. Describe how a system is to work in the context of the whole of a network, in a sense of \"what is expected of a single system, and how it can be replicated.\" Write a clear description of the process","text_sha256":"a85ba7b3ed30d71ebc911949efed39895f3040cacdd860c18075694ddb3d7777"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-940000-13-technical_explanation-unwatermarked","seed":940416,"text":"\n\nExample 1\n\nIf you want to prove a statistical model with a number of results, define a test condition and perform it on a set of results.\n\nA simple example\n\nA simple example:\n\nvar results = { \"samples\": [\"1.5\", 2.0, 3","text_sha256":"096063486f68690bef7ad60d982d628b65ccdef94ee2209fc606639c8c8fb3e9"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-940000-13-technical_explanation-watermarked","seed":940416,"text":" Create a model, which can be used in any of the experiments that you plan on running. If you don't create a model before running, you'll run out of data.\n\nCreate a model, which can be used in any of the experiments that you plan on running. If you don't create a model","text_sha256":"526b6629b54cf5a7fc79fd4c3a3e83a83b22755f35aca03c8fc95cee18f01435"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-940000-14-conversational_prose-unwatermarked","seed":940448,"text":"\n\n4. If you don't have a hard copy of a book, then you may want to take a look at a copy of a book.\n\n\"You can go to the store and buy a copy of a book.\"\n\n\"You can go to the bookstore and buy a copy of a book","text_sha256":"eda4d6e329375c86f5116ba0dffb3af6430260fce047ad0cebdf3f35ac91a670"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-940000-14-conversational_prose-watermarked","seed":940448,"text":" Use a list of important facts and common sense. The most important of these facts may be the one mentioned in the book but not all. Use words that are unfamiliar to you but which you have not heard before. In short, ask about the same facts and understand how they relate to each other.\n\nFor example","text_sha256":"268abf87671bde3ccee83efa38317ff00b4a1ce62664b51dcff77ea503076bbf"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-940000-15-structured_instructional-unwatermarked","seed":940480,"text":"\n\nUsing a sequence of sentences you can apply a series of steps to replicate a set of tasks. If you use a sequence of sentences and keep each step concrete, it is a good idea to start with a single sentence.\n\nLet's say you set the task a few seconds before the start of the second","text_sha256":"45ea17989db96f9cee806e852fc9f58e38037b39ba8ad833dc4405677fb87cb9"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-940000-15-structured_instructional-watermarked","seed":940480,"text":"\n\nThis is a very important part of our study, for it helps to understand the concepts of replication and the use of data in the experiments. This is a simple two-step procedure that involves the following steps:\n\nThe following are the steps that make use of a single variable in the experiments:\n\n","text_sha256":"9763d2a2cc79edbc46ced988e7639a2c6f110cd0a9439eab48cfca4bb497fe3b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-940000-16-general_explanatory-unwatermarked","seed":940512,"text":"\n\n[11:20] I can see why it's not being written out here...\n\n[11:20] but even if we do, it still leaves us vulnerable to a small bias of the best sorts.\n\n[11:20]","text_sha256":"7936f1b8036841b0cdd11bc1312bb3cf20bbd55282563a21ec8b534d93c52cb1"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-940000-16-general_explanatory-watermarked","seed":940512,"text":" Use a list of the authors and their affiliations. Use the keywords of peer review.\n\n1.1.1. The authors' names\n\nThe authors of The Scientist and the Science of Science: A Critical Review are not members of any academic research organization, or the authors may be members of any other","text_sha256":"df6ae2e9cf030cb3aa4aa129058305883c4c1f001aed78c92de52d1bacab8854"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-940000-17-technical_explanation-unwatermarked","seed":940544,"text":"\n\nExamples\n\nUse an example to demonstrate the feasibility of automated testing, if you can't see the error in the code.\n\nConsider a small web application that uses a user agent that can be modified, and which uses a distributed ledger to prove its success.\n\nSee also: https://en.","text_sha256":"5b77174fe9013507090826cd3c18236840eea99df5c16bbe23a70e02e55de8a1"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-940000-17-technical_explanation-watermarked","seed":940544,"text":" Create a check that confirms a failure condition and the main design decision. The main design decision must be defined as one that satisfies all of the main design criteria. The main design decision must also satisfy the following criteria:\n\nOne of the following criteria must be met: 1) The main design decision must be defined in","text_sha256":"ba8d5c1204597b4bd102be8b6ca2721bd0e74e0e750e622003fa85271bda5a34"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-940000-18-conversational_prose-unwatermarked","seed":940577,"text":" You may have your own opinions on how to handle things, but this is the approach we have found most effective when talking to people at a regular pace.\n\nBe open about your personal experiences. I've done this on some occasions, and there is some truth to the idea that some people might be better off not","text_sha256":"09adff7679e9a3b553f93bf983bff2e846303c8ed1180532f06d314ae459012d"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-940000-18-conversational_prose-watermarked","seed":940577,"text":" You'll learn to get the gist of the topic and to learn from it.\n\nStep 2: Find a natural speaker\n\nDo not try to find someone who has the same level of technical knowledge as you do. This won't help.\n\nIf you're a scientist, this might not be necessary.","text_sha256":"62b266d3ace385f3f328b8f76edf9fa16f65d3b8e7811d1b17a48dac419a2467"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-940000-19-structured_instructional-unwatermarked","seed":940608,"text":"\n\n4. Implement a method to generate a finite set of data that can be easily replicated over and over again.\n\n5. Implement a method to generate a finite set of data that can be easily replicated over and over again.\n\n6. Create a method to generate a finite set of data that can","text_sha256":"e8a7ea88d6d2dba75bbb84c9cdb8d810e21075d50b42558490ff854c88ab4aa8"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-940000-19-structured_instructional-watermarked","seed":940608,"text":" Use a single verb and an end sentence. Repeat the same steps until the same sentence is repeated over and over again. The time is called the 'time to test'. If you do not see a time in a list, click on the time to test in the list. If you get a message stating 'I have","text_sha256":"fd6ca88009f3158380dc1d2a39f180fd260831493f1d59991fd6b9fbb215be35"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-940000-20-general_explanatory-unwatermarked","seed":940640,"text":" The only way to prevent an error is to include a description of the problem in a scientific paper.\n\nRead more about what it means to write a scientific paper in the article on Science and Science Fiction.\n\nHow to Write a Scientific Paper in a Scientific Field\n\nWhy do scientists write scientific papers in scientific","text_sha256":"a4ef9a80e1d8f6f9ab622eaccac4185f06bd7b0164a215a4b3a58599461538dd"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-940000-20-general_explanatory-watermarked","seed":940640,"text":" For instance:\n\nA good summary of current trends in science published during the last ten years shows that the percentage of papers published that are published that are not supported by full-length research has doubled since the late 1990s.\n\nA good summary of current trends in science published during the last ten years shows that","text_sha256":"6d291b9b3e9f343eef7b6134adc0c1a90584fec86f787630eb3f8f2e629ba149"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-940000-21-technical_explanation-unwatermarked","seed":940672,"text":"\n\nThe main idea, one failure mode, and one validation check. Explain how to use a variety of techniques to make scale replication of software experiments easier.\n\nExplain how to use a variety of techniques to make scale replication of software experiments easier. Explain how to use a variety of approaches to model the problem","text_sha256":"f0080f10aa486dcc64a5f6e26defab28526460b9d191fd6a3483a071d4ef94c2"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-940000-21-technical_explanation-watermarked","seed":940672,"text":" Create a model, and use the test data to verify the model. Test the model and verify its correctness, and validate that it is correct.\n\nThe model is then tested against a suite of models to verify that each has been tested and validated. The resulting model is validated by a large number of tests, and","text_sha256":"e1b46438c9f0aaf52b96b84339eea52088df209b209d10c3b24c9d8e9d11b9fa"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-940000-22-conversational_prose-unwatermarked","seed":940704,"text":"\n\n\n3. Give your question a chance. This is one of the most important parts of a question. If you ask a question with a high level of answer, it may be useful for others to have the answer, or even ask it to your colleague.\n\n\n4. Don't repeat yourself. The most","text_sha256":"b63a7d57550a60ee2fb8b9bd07c3e966a07a8a83edece634e43658fd436e17a6"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-940000-22-conversational_prose-watermarked","seed":940704,"text":"\n\n\nWe have this idea that independent replication can have a real impact. And this is true. But it does not matter if independent replication is good for you.\n\n\nIn our view, it is not. And the best way to understand why is to take a look at the evidence and think: why is it","text_sha256":"e4814fae18f331f2cbba08a701c68036f3ba8aa1505ee251e794178fa5a281ac"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-940000-23-structured_instructional-unwatermarked","seed":940736,"text":"\n\nFigure 1. Scaling in a 1:5 ratio.\n\nThis example shows how to apply a single-step scale replication in a 5:3 ratio. To make the original scale replication easier to read, I've added a new part to the code, and then added a new step to the script","text_sha256":"8b7087f39004cd537c073a2dec55b236fbce5a42ce73a03b921e93e823045db0"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-940000-23-structured_instructional-watermarked","seed":940736,"text":"\n\nFigure 1: A test of a simple model for continuous-recursive replication.\n\nFigure 2: In this test, a simple model for continuous-recursive replication was used. The first part of the sentence is a simple sentence. The second part is a simple sentence. The third part is a simple","text_sha256":"4ff52c5b86ff07467f61bdbfd19cbd7cde8e53dd8d6170626d420e5432c39255"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-940000-24-general_explanatory-unwatermarked","seed":940768,"text":"\n\nIn this paper, I will present the following arguments:\n\nFirst, the basic point is that we can be confident that an independent replication will not replicate if it is designed to replicate a particular set of papers in the same journal.\n\nSecond, the basic point is that independent replication is less likely to","text_sha256":"416bff7f798fe39ee256d3f6285885d83f93222213e526bab2f8f794c8bdeda6"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-940000-24-general_explanatory-watermarked","seed":940768,"text":"\n\n\"No, not in the way you'd expect, but I can promise you that we can't expect to be the best at it. In fact, we're not close.\"\n\nIt's not exactly easy to write a single sentence of this blog post without some sort of background. I've been working","text_sha256":"659c737120bc8792d662bbb4b5a2082e252bc25c2b4f469e244c1796b11889cc"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-940000-25-technical_explanation-unwatermarked","seed":940800,"text":"\n\nRisk\n\nThe primary aim of the study was to determine whether any of the available methods can be used to perform independent replication of a published report. A variety of different problems are encountered in independent replication. The goal of the study was to determine whether a single method can be used for a problem that is","text_sha256":"3a3276c2f1ceb265e2f46de06f45db78ef2f0a97e239209c7f2859a210064b2d"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-940000-25-technical_explanation-watermarked","seed":940800,"text":" You will find this method useful for large-scale, and high-level, experiments. It's also useful for small, in-house experiments.\n\n3. Distributed replication\n\nIn this chapter, you will find information on distributed replication and how to create a distributed replication model. You will also find a","text_sha256":"451b963f2a84524e7b906835155e89e3b4615a0eee707be518f4044aed795328"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-940000-26-conversational_prose-unwatermarked","seed":940832,"text":"\n\nTry to tell the story with your own voice. Think in terms of what it might take to have the same voice in the right situation.\n\nIf you have the right questions, ask.\n\nYou may have seen this post before. It's about how to be a good teacher, and also about","text_sha256":"f8428cb60edc73c462f7ed9e0c78a167fd38812efc6a467795e96727b2094a88"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-940000-26-conversational_prose-watermarked","seed":940832,"text":" Use a simple and concise vocabulary (e.g., the \"it's not possible to replicate this data\" statement).\n\nUsing a natural language, be clear and concise in your questions.\n\nUsing natural language helps you to understand the meaning of a sentence.\n\nHow to use it\n\nUse your","text_sha256":"f0e0e81d0a7b53ea4c641b7142108c4b9c3b57d6918f650df009ca229739a181"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-940000-27-structured_instructional-unwatermarked","seed":940864,"text":" Example 1: A small group of people and a larger group are walking along the highway. The group leader explains that it's time to drive. He takes a minute to look at the other group, and says, \"If you could do a whole bunch of things with your own hands, it'd be like doing a","text_sha256":"556d580ba67819b2023b7f5fc39b10a1fd5f7972e261fef51be8f0d89dcdcc34"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-940000-27-structured_instructional-watermarked","seed":940864,"text":" Use a list of words in your sentence and a list of pictures and videos. Add the words you want to replicate and apply them to a single sentence. The final step is to start writing a sentence in a short 3-step format.\n\nWrite a few sentences and then start writing in a few steps. Then","text_sha256":"01a5a4c0b93ec3b7b3e89ee2978fdb08d490986fc8b8831e4a4fc906b192756f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-940000-28-general_explanatory-unwatermarked","seed":940896,"text":"\n\nCreate a research paper that discusses the advantages and disadvantages of using a replication tool. If it does not explain the advantages and disadvantages of using replication, then write one coherent paragraph.\n\nWrite one concise, clear article that will explain why independent scale replication matters. Write one concise, clear article that will explain why","text_sha256":"a7aeb498889cca477de02c4646ebc29af571f594d677f0760d60c1e974dafb3d"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-940000-28-general_explanatory-watermarked","seed":940896,"text":"\n\nCreate a research paper on the best way to test it.\n\nWrite a paper in which all the relevant details are covered.\n\nWrite a paper in which all relevant details are covered.\n\nWrite a paper that is a complete copy of the paper.\n\nWrite a paper that is fully-","text_sha256":"c08a0bbd71da611222249c6123b011a4c2b4587880ba2599d1922606e81472f6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-940000-29-technical_explanation-unwatermarked","seed":940928,"text":" This is a standard approach to large scale replication experiments. It is considered to be more stable than a normal replication experiment. The experiment is controlled by a computer and must be performed with complete confidence that it is safe.\n\nA typical test involves two replicators and a computer that has a test suite. The computer and","text_sha256":"e8cd3b230e3b6746e289798585cf7ea54f281cf31b2711d81448516b82f777d6"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-940000-29-technical_explanation-watermarked","seed":940928,"text":" This is how it works.\n\n1.1.1.2 Problems\n\nWhen we first write a program, we usually define the problem in terms of a single statement. This is what makes it so powerful:\n\n1.1.1.3 Errors\n\nWe must define a single error.","text_sha256":"72181a6b9c1958c284fa66327db092dc9cc81761b2ae16e8e6f934ab706dadc6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-940000-30-conversational_prose-unwatermarked","seed":940960,"text":"\n\nIf your team can't figure out the answer, a good tactic is to try a series of experiments.\n\n1. Be sure you've got enough time to figure out what the experiment is and to keep it going as long as possible.\n\nTake a break. Keep yourself busy. Your mind,","text_sha256":"e1ffabc03434dc271a5cc6634731e94785f2c72a472e4684dfb8ad36da4c27fa"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-940000-30-conversational_prose-watermarked","seed":940960,"text":" Use a simple and concise description of the study and the questions to which it is directed. Don't confuse the authors with a stranger. Be authentic. Use genuine experience. Read the journal reviews. Check the published papers. Understand the subject matter. Avoid the \"I don't know\" and \"I'm not sure\"","text_sha256":"754fdbefa7821fc831e9634853b1412a8a686cd176c7c30f6e82cd7dd4df046b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-940000-31-structured_instructional-unwatermarked","seed":940992,"text":"\n\n1. In a test of applying the scale replication algorithm to the sample of samples, insert a second test sentence and an expression that identifies the difference between the two samples.\n\n2. In a test of applying the scale replication algorithm to the sample of samples, insert a third test sentence and an expression that","text_sha256":"42e14c560c224b891b893fa8d00f0e580ff78a2f437ea4187e0b715e749c5b45"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-940000-31-structured_instructional-watermarked","seed":940992,"text":" Use a single step.\n\nA study of how the length of the human genome differs by 100 million years shows that the age of the human genome is one of the oldest known records in history. The study, published in the journal Nature Genetics, was led by a group of scientists from the University of California, Irvine","text_sha256":"d90f0e2c19d6fbed9d35680bda7e6855567a1880b8bf9b22278a70f3ec05108b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-940000-32-general_explanatory-unwatermarked","seed":941024,"text":" Use the following for your own analysis of the evidence and to develop your own conclusions.\n\nThe number one rule of scientific research is to keep your research within one place. This includes all relevant data and any references that may be available from other researchers. This is especially important when you are conducting research with people who know","text_sha256":"c0f1b22d35d1a67557fff311b4003d97b18ac9be5234a13240b1c2bfc05c5094"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-940000-32-general_explanatory-watermarked","seed":941024,"text":" Use a single sentence or sentence by a single paragraph. You don't need to write any more than this in your work.\n\n\nAs you get older, you can learn to write your own paragraph style using the techniques of this book. This will help you learn to write this chapter better.\n\n\nNote that these","text_sha256":"121119151d09981c4c1b7ff5db8c69ce70211c148396cfefba51fbc0f62b85b1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-940000-33-technical_explanation-unwatermarked","seed":941056,"text":" Consider the following examples:\n\nImagine a scenario where an experiment was to be run in two separate laboratories. At each lab, a small number of people (the lab managers) would each meet with a small number of experts for a short period of time to perform a series of tests. The scientist who performed the test","text_sha256":"a3d8ba27790daf343701b94909292768416dbb9c33f6cc3d0f086e394bbf672a"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-940000-33-technical_explanation-watermarked","seed":941056,"text":" Consider a single test of a software program that is highly performant, but has a single failure mode that causes the program to fail. The main idea is to determine the exact error rate for each failure mode and to test for the correctness of the test by comparing the test results and the test results on the computer. One","text_sha256":"566f27d251391a487266c0fda4c56dd20886b60e4dcbb037cb387237020e7762"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-940000-34-conversational_prose-unwatermarked","seed":941088,"text":"\n\nThe next time you're writing a piece about a topic, get involved and ask questions. Ask your colleagues if it's worth it to try to replicate the work of your colleague with more depth.\n\n4. Create a New Meta-Analysis\n\nThe next time you write a piece about a topic,","text_sha256":"a50817d7aaaa2f0d6359e4975a0f701dea7e5d3cf42838338bb1617ed7697687"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-940000-34-conversational_prose-watermarked","seed":941088,"text":"\n\nUse a short explanation that provides as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as much detail as possible. The purpose is to provide as","text_sha256":"fd36613ddbf7daca5867e5ac2f4b704334850a5a4829036fe70e7e99aa94f6bc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-940000-35-structured_instructional-unwatermarked","seed":941121,"text":"\n\n2. Assume that the test results are correct, and test again for error.\n\n3. Assume that the test results are correct, and test again for error.\n\n4. Assume that the test results are correct, and test again for error.\n\n5. Assume that","text_sha256":"26644254f6b7b05ea80da4afb16a876962f1af8d85caff0a0999161f509787c9"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-940000-35-structured_instructional-watermarked","seed":941121,"text":" Use a clear language. For example:\n\nThe following example illustrates the use of linear scale replication in a simple experiment. We use this step to apply a series of steps to a variable, such as the value of the variable's parameter. We apply these steps to a single variable, such as the value of the","text_sha256":"452a5853dd1a1b727bf462ed2ce49c17d65426855f8d54a451e6925f38b7e299"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-940000-36-general_explanatory-unwatermarked","seed":941152,"text":" Take an example from the research on the effects of self-reproducing bacteria on human behavior (see Table 1). Imagine that there is a study on the effect of a certain bacterium on the behavior of humans, and that the subject is a human. We would like to know how likely it is that the bacteria would","text_sha256":"e9c4e5291d2afa6cb44ea5e206938e90a50d5426098964582c0c12578f1fab04"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-940000-36-general_explanatory-watermarked","seed":941152,"text":" Use a list of the research papers you'd like to include in your work.\n\nWrite a summary of the findings.\n\nWrite a list of the experimental results that would be relevant to your study.\n\nIf you have any questions or comments about this project, feel free to contact me at dana@","text_sha256":"3cb0a084796f01f96b7d8bccb50c88217955a26361d1eee3950117137b04574c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-940000-37-technical_explanation-unwatermarked","seed":941184,"text":" Then define what the failures of the two different replication operations will look like. Then determine if it is possible to replicate the data from the different operations (for example, without an extra validation check). Then define a replication cycle, an independent replication step, and a validation check. Finally define an interval, which is the time","text_sha256":"33dc26d238b56115384c37da04b6dbf40d533134460711e9aa69546820b503e0"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-940000-37-technical_explanation-watermarked","seed":941184,"text":" This is how it works. The two different tests of an experiment should be performed for each other. If the test fails and no replication is found, the experiment is terminated. If the test fails and no replication is found, the experiment is terminated.\n\nHow do I make sure that replication is consistent across test cases","text_sha256":"56818547392121803b9ef89288f786f211ef10e82e8f28be6f06786c559a489d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-940000-38-conversational_prose-unwatermarked","seed":941216,"text":"\n\nThe idea here is simple and simple:\n\n\"I know that if you're not a scientist, you're not really a scientist. You're just a human being. If you're not a scientist, you're not really a scientist either. So, when you're a scientist you don't really know","text_sha256":"6059c46361e3cf5c2b0fbf3ce4bb9dc7da7fea836d143c5b9ef70e1465957158"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-940000-38-conversational_prose-watermarked","seed":941216,"text":" Use a very short story, so that the reader is clear and at ease with your phrasing.\n\n\"It's like having a baby, just one more.\"\n\nHow to Write a Better Story\n\n\"We have a new method for writing a better story.\"\n\nIf you write a better story","text_sha256":"30734a4765551cf72d6761cea14c884c22255d357412239291326ebaad6c3e32"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-940000-39-structured_instructional-unwatermarked","seed":941248,"text":"\n\n(click on the image to view larger version.)\n\nAn alternate way to use the same sample, with a different group, is to apply the same scale in each experiment.\n\nThe three-step method is different, as it allows you to see how many different samples in a test group can be","text_sha256":"e7c10e4a0aaa9edd379f60b4ae2311713a9571b33aaf4d23cee157be5534fef5"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-940000-39-structured_instructional-watermarked","seed":941248,"text":" Use a small number of word lengths to prevent repeating sentences.\n\nFigure 2. A simplified illustration of what to expect when you perform a simple scale replication experiment.\n\nFigure 3. An example of how to use the scale replication method.\n\nFigure 4. A brief introduction to the scale replication method.\n","text_sha256":"8d5463a11eb660ca59f5c676c4a13e5fd3b724a23c0ceecbced9fd1536a11259"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-940000-40-general_explanatory-unwatermarked","seed":941280,"text":" Write a strong description of your scientific findings. Write a clear summary of your findings.\n\nI write about my research, and I write about my findings.\n\nI write about my findings, and I write about my findings.\n\nI write about my findings, and I write about my findings.\n\n","text_sha256":"f166336015cda37402e3369861a3dc7f5ff38a186a879c0bf58d17e5aca5ec49"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-940000-40-general_explanatory-watermarked","seed":941280,"text":" Write one word list without a footnote. Write one sentence without a sentence.\n\nHow do we do this?\n\nThere are many methods you can use. Some require some basic knowledge of the language. But as long as you're good at these, you don't need to worry about the technical aspects of","text_sha256":"16039f1dc920382dd636d6af50f4b6d4fe1c5970506111027d200fec037782bb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-940000-41-technical_explanation-unwatermarked","seed":941312,"text":" The primary design goal of this paper is to describe a small number of experiments for each of the three main mechanisms, and to describe the primary design rationale for using each mechanism to measure real-world scale. The primary design goal is to be able to replicate the findings in real-world systems, and to make the resulting","text_sha256":"0d1651427ce9c225fa8502ec25124a80d03bc3e6040e9c59402ce8f8519550b0"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-940000-41-technical_explanation-watermarked","seed":941312,"text":" Create a \"failure\" test for each failure mode. If a failure test is created, the next test will be created. If there is no failure test, a new test is created. If the previous test is a failure, the new test will be created. If the test is created only once, the failure","text_sha256":"02e425704a60b61cf3e255863b68b9e81e0380ce597f53e8f1df7d57ac1efd7f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-940000-42-conversational_prose-unwatermarked","seed":941345,"text":" Be clear about what you are saying and what you are trying to say. It is important to not over-promise to your colleagues and to make sure that you are making a substantive point.\n\nThe best time to write a professional review is when the topics are well received. This will help you to get the","text_sha256":"2fcb7830480df422ed2043175d7e7d7c2683921703cfeaee0f2e186ad8770d13"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-940000-42-conversational_prose-watermarked","seed":941345,"text":" Use a list of questions that will get you answered. Avoid repeating the same questions over and over. The question will be answered by the interviewer.\n\nUse a list of questions that will get you answered. Avoid repeating the same questions over and over. The question will be answered by the interviewer. Avoid using self-","text_sha256":"b56009c2b2fb1b45dc69d4c03d259a6d8d0fd02e7228d9b2449a67e6d039b717"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-940000-43-structured_instructional-unwatermarked","seed":941377,"text":" The experiment should take about a minute. You can get it done by adding an after-action step or by using a new set of steps.\n\n4. Write the final step and repeat it\n\nThe second step is to use a set of steps to create the first step of an experiment. Repeat the entire","text_sha256":"ff24870f5b0d9ec69118191554522d7539fa9e1b5544719604ea86f1806dce8e"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-940000-43-structured_instructional-watermarked","seed":941377,"text":" Use a simple but effective step to replicate an experiment.\n\nUse a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Use a simple but effective step to replicate an experiment. Use a simple but effective step to replicate an experiment. Use a simple but","text_sha256":"08218c73c16c628b8bde01ab6b2d1d4dfa0439fbbabbf64faa441a846e69482d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-940000-44-general_explanatory-unwatermarked","seed":941408,"text":" This will help you identify what you want to do in advance. Then, if you are just starting out, ask the author of your paper about their background or what they are currently working on. A good example of this is a question in a clinical research article that has a similar problem: \"Why did we not see","text_sha256":"22bbb1f096088aa1b13db9578713eb8b766fade39f605b00de795993d4853ac0"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-940000-44-general_explanatory-watermarked","seed":941408,"text":" This will help you identify what data you want to use, and what will be needed to reproduce it.\n\nIn addition, read our post on How to Write a Scientific Article without the Info Section: The \"Use Information to Make Your Article More Effective.\"\n\nThe most important part is how to make the article","text_sha256":"8abefa7d304a51c23ca5a36827b3498f9adefeb69e28c935f652410e104a454f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-940000-45-technical_explanation-unwatermarked","seed":941440,"text":" This means that we know when the test fails because the failure mode has been identified and this is the first step in checking if it is successful. Finally, the validation check can detect if the test is still valid, or if we see that the test is not successful.\n\nThe main idea is that we are trying","text_sha256":"46e94639f2c4f55a987c452cf525d1bced6ab81e4980bb49a6aed87a5b6f973c"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-940000-45-technical_explanation-watermarked","seed":941440,"text":" Create a random number generator, such as Cython.\n\nGenerate a test model in the language or language-specific language. Define a test method in the context of the model.\n\nIdentify the problem by describing the problem in a readable and understandable manner. Define the main features of the problem","text_sha256":"7ba2cbc1a19cd047a76c08716e302a8a79552b23def14a804a947520a1877b89"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-940000-46-conversational_prose-unwatermarked","seed":941472,"text":"\n\nWhen a student asks, \"How does this happen?\" Use a simple, non-technical set of questions and instructions.\n\nIn one of the recent surveys, \"What is your favorite language?\" respondents were asked to choose a language that had the most to offer. (The survey methodology is unclear, but","text_sha256":"26c026c736197401d36c4f06ac39d9f75edb2d78ff472d6aa59fb892594d2153"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-940000-46-conversational_prose-watermarked","seed":941472,"text":" Don't focus on the author's language; focus on his or her point of view.\n\nFor example:\n\nThe authors of a paper are saying that they are \"confident that\" all of their data was replicated (p. 15).\n\nThe authors of a paper say that they are \"conf","text_sha256":"e534eac48c2fcf5b67e698a3d415414378768b4f916b0422213eb4191cb19621"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-940000-47-structured_instructional-unwatermarked","seed":941504,"text":" If you can't repeat the entire set, or need to write a more complex part, you can use two steps.\n\nFigure 10.\n\nFigure 11.\n\nFigure 12.\n\nFigure 13.\n\nFigure 14.\n\nFigure 15.\n\nFigure 16.\n\nFigure 17.","text_sha256":"681d09c0740021c800a959e2bc18a8d7966986511d1a50227d817db526debc1a"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-940000-47-structured_instructional-watermarked","seed":941504,"text":" Use a series of \"solutions\" to describe the results. If you are having trouble with each step, make sure you have read this book.\n\nTry to explain to your readers how replication works and how it could be used as a way to improve your own personal learning.\n\nIf you are looking for","text_sha256":"83e8df7adadba8f51e0f71db801b20b8f06bddadba3bbdcb99e5dc9d247593d7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-940000-48-general_explanatory-unwatermarked","seed":941536,"text":" Include a few words about the relevant work. Then, use it to explain the difference between the two approaches.\n\nFor the sake of this example, I'll use a single paragraph.\n\nThe problem with this approach is that the \"spoke out\" paragraph is not coherent. You need to explain how the","text_sha256":"861c556f0fc032a8f17646388ff3fc1331d398160e6dc17967216f17ebdcc712"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-940000-48-general_explanatory-watermarked","seed":941536,"text":" Include a citation describing how the results of a trial or a study should be reported in the publication. If you can't write the citation, cite the article, even if it's merely a paragraph. Write a single sentence to describe the results. Write a sentence that describes the data that you expect to see. Add the","text_sha256":"505cae52b7eb940578fdce5c7805a2131e073162f3a9ce98dc86f43bb9e72a85"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-940000-49-technical_explanation-unwatermarked","seed":941568,"text":" Write down your results and compare them with others. Analyze the results and decide which data to replicate. Then write down the data. If you're not happy with the results, write down the validation check. If you're happy with the validation, write down the validation check. Read this book to learn how to write","text_sha256":"c8fe9214168ef4c534ce6e6bd65489e623880a497e18278a72daf6a8cd86fea1"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-940000-49-technical_explanation-watermarked","seed":941568,"text":" Create a small subset of failures and apply them to a set of samples. Perform two test runs, one of them using a single computer and the other using a large pool of data. See examples in the discussion of failure modes.\n\n2.1.4 The Problem\n\nThe problem is that of the implementation","text_sha256":"1b34587b237cdbf6fba9af678d3a92431a9d67a59496213bf9aa8993784c50ac"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-940000-50-conversational_prose-unwatermarked","seed":941600,"text":"\n\nWhen you talk with other colleagues, use clear language about your own contributions to the study. This will help you get a sense of what you have accomplished and how you are contributing to the study. You can also make the decision to replicate the results from the other colleagues that you did not ask about.\n\n","text_sha256":"e2cc2c56b2ce33e45319f192510ff4f8948d714a8052d7abb250739f18a62795"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-940000-50-conversational_prose-watermarked","seed":941600,"text":"\n\nRead more about\n\nHow to use Google Reader in your own project\n\nLearn about how to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\nHow to use Google Reader in your own project\n\n","text_sha256":"c6fd6fb3987cbd0dc91afb0afd29cae6c164ecf3de75927b63e7f454c23be51f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-940000-51-structured_instructional-unwatermarked","seed":941632,"text":"\n\nIn each step of the experiment, use a short three-step instruction for applying independent scale replication in an experiment. Use complete sentences and keep each step concrete. Write down each step that you want to replicate in real time. The first step of the first step will be used to make sure you get enough repet","text_sha256":"eb9adabb6c82657a561f039b5aca48fe3bb434a2cc77b933973dd0c5247cc379"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-940000-51-structured_instructional-watermarked","seed":941632,"text":" This is how you can get started:\n\nLet's say your first attempt is successful and you are able to replicate two of your steps. Then you add your second step, and the results are the same as if you had added the first step.\n\nIn fact, if your first experiment fails, you can","text_sha256":"c0acac25fca65b4616c7e5cf22595bf88ea53c85a9c64c8f2d99bba2654effcf"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-940000-52-general_explanatory-unwatermarked","seed":941664,"text":" Do not use a list of all the reviewers and colleagues. Avoid having the journal get together and work out how you can improve the paper without getting involved with the reviewers or colleagues. Do not talk about your journal's current results without a summary. Instead, talk about your current paper's main findings, and make sure you","text_sha256":"6ab77d7d5d0de93a10bdc7846f8f9af8225a68706e760d6a412759667fda0f35"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-940000-52-general_explanatory-watermarked","seed":941664,"text":" Don't use a verb or a single sentence that you think you know.\n\nIn fact, research conducted with independent replication projects in the U.S. has proven that independent replication is not only reliable, but it's also a huge win for science. In fact, independent replication has even been used to train science","text_sha256":"b5e2bb155241e04eda0ccc7f88c9a7ca5cffa7d70a3fb2d438278f2028bdb17b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-940000-53-technical_explanation-unwatermarked","seed":941696,"text":"\n\nThe main idea, one failure mode, and one validation check. Use a series of validation checks (see section 4.1) to establish the correctness of the model.\n\nUsing a series of validation checks (see section 4.1) to establish the correctness of the model. Use the same rules as","text_sha256":"f5b8f45beb3c0b3a123638d148359540b5da857e7d077e5416beb3c36fc9ecb8"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-940000-53-technical_explanation-watermarked","seed":941696,"text":" You'll also need to find a valid test-run in the run-time state and the number of steps.\n\nRationale\n\nSo, for this review we'll take a look at what you'll need to know to get started with software replication. There are several factors to consider, including how many","text_sha256":"1ce9f0102da5fdac8cfc201c6a96a1075e496602c8bdf0deb335721172f8351c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-940000-54-conversational_prose-unwatermarked","seed":941728,"text":"\n\n\n1. The \"discovery\" method is an imperfect method. It leaves out all the facts, which makes it difficult to distinguish the difference. It does not work with \"experimental\" scale replication, for example.\n\n\n2. The \"peer review\" method is a little confusing. It is a","text_sha256":"ce1303df9b66d64cb8406f20a5f3333467fb11d4b1f240bfa4fac9003cf3f277"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-940000-54-conversational_prose-watermarked","seed":941728,"text":"\n\n\n1. The \"I understand what you're saying\" question. This is about the exact same question, but there are different kinds of answers. A lot of people ask \"Why would you believe the lie if you didn't know what I said?\" and the response is \"Because I am a scientist.\" I","text_sha256":"0326ba736352cb26ce9d834fc3f79859a36771a991d31780bd51b1012c0d214c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-940000-55-structured_instructional-unwatermarked","seed":941761,"text":" For example, when you write the following, write it as an example:\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47","text_sha256":"4b0a832d2c17fa8d6feb544f7cad61ef33f3d3118b5ec169cc5e701850470334"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-940000-55-structured_instructional-watermarked","seed":941761,"text":" For example, when you write the following, you will see the following:\n\n1. You're right.\n\n2.\n\n3.\n\n4.\n\n5.\n\n6.\n\n7.\n\n8.\n\n9.\n\n10.\n\n11.\n","text_sha256":"95448f4739c86370077abe221bc98c5d832d1ca92b0e29f1aa8212e6815e847e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-940000-56-general_explanatory-unwatermarked","seed":941793,"text":" If you don't want to write it, read something else. Read one sentence without knowing if it's a sentence you want to say or a sentence you want to repeat. (In other words, to put it simply, a lot of the time, even if you don't think it's a sentence, it's","text_sha256":"910e58d53bf65217e008df96ee8594bfc82cd021187e55dd20c3ab608da82763"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-940000-56-general_explanatory-watermarked","seed":941793,"text":" Use a clear definition of the term, and use it with caution. Make a point of stating what was said and what was not said, then explain in plain English why you are making the claim. If you are not sure of your own meaning, try asking people to do the same thing.\n\nNote: These","text_sha256":"c081d8472bb397a261aba926790830365d0bb0ddcad8a963e40a400ea4109d02"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-940000-57-technical_explanation-unwatermarked","seed":941824,"text":" The goal is to create a set of test cases that can be implemented with this set of tests. The main goal is to generate the required set of tests to be run on an existing sample of test cases. A typical test case is defined by the following: test_name = \"test_name\" test_error","text_sha256":"74cb4dfe0e16b22d88c3a756253b84757b306bf824a86ad2ea6b9aa8289d570e"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-940000-57-technical_explanation-watermarked","seed":941824,"text":" Set up the validation check, and set up the test for validation to work.\n\nSee Also: http://www.researchgate.net/cgi-bin/...\n\nA validation check is like a check for failure or failure modes in a software test, but with a different set of test parameters. This","text_sha256":"88ee159edb2259fae74383c588f1d030fffb1488c51a50fa13d8655d80167d64"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-940000-58-conversational_prose-unwatermarked","seed":941856,"text":"\n\nHow to get your own scale\n\nFor a sample scale, you can find a book on how to get a scale from the National Research Council at http://www.nrc.gov/research.\n\nDoing the research in a university library gives you the right amount of money for the project.","text_sha256":"33bcd65db90b0d3638949a917ed9dfd8347ec3ccff55903679e725d1976371ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-940000-58-conversational_prose-watermarked","seed":941856,"text":" Use a simple and direct summary to make your points clear to the interviewer.\n\nWhen we first started out, it was a very simple question, but the basic idea was that people would ask you questions about your work and how to make them better.\n\nNow, with multiple scales, we've developed a system","text_sha256":"253a877437c6675d2ad0071dd4e35f0933fd66a27ce363c214a6c67c52f77372"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-940000-59-structured_instructional-unwatermarked","seed":941888,"text":" This is the first step that should be done before the experiment is terminated.\n\nNext, perform a second step, which consists of two parts. First, repeat the step that you have previously performed in step 1. This step will add additional information to the experiment if it is successful. This step may be used to","text_sha256":"859b762effe9471f136a6076afbe86cb1cfc6e2e5c05e56608e843a60ce0e113"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-940000-59-structured_instructional-watermarked","seed":941888,"text":" This simple experiment uses a simple textured surface to replicate the effect of a single letter. The result is a large, high-res image.\n\nIn this example, we used a textured surface to create a three-step textured surface to replicate a single letter. The resulting image is a 3x3","text_sha256":"3e95b8b9dad4aed9e5a787dfc4a49374a156790510d21d4bbe5e6f7640615d48"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-940000-60-general_explanatory-unwatermarked","seed":941920,"text":" In any case, try to follow the guidelines, and don't worry about your results.\n\nIf you don't like one of my suggestions (or just don't like the others) click here to subscribe to my newsletter.\n\nThis is also how I use my blog's RSS Feed.\n\nThis post","text_sha256":"8d021e6b4508bb00a0b0e60428fe12f99929c53eeb1a92ff0ea39e13783f01de"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-940000-60-general_explanatory-watermarked","seed":941920,"text":" Use a list of the authors in your manuscript, and use it to show you where you can use it. A concise summary of the paper, by its title, is an important indicator that the author was working with a group of scientists working on an idea, and has chosen to use that idea in their paper. You","text_sha256":"00b92b7a1848859478688bdbcdb55e5b4206e6ee47590b2d5d3df09b7e14143f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-940000-61-technical_explanation-unwatermarked","seed":941952,"text":"\n\nIn this example, we first create an experiment, which uses a standard library for statistical analysis, and then a custom database for statistical inference.\n\nThe first step is to define the main idea. In the first example, we start with a single sample and then use an inference procedure to perform a random,","text_sha256":"9a1cfdbc957d48987a7d8ef04db53a04955657ac8bb2b666ed1a37ae0a9739ab"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-940000-61-technical_explanation-watermarked","seed":941952,"text":" This helps to make sure that there is a well-defined error rate.\n\nThe main idea, one failure mode, and one validation check. This helps to make sure that there is a well-defined error rate. A validation check, which is a collection of errors that can be fixed with a single call to","text_sha256":"ce9aa5609b69bc1f0411d1af7a4c57a4a16dd1f72b47dca8d3ee9ca9150376ba"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-940000-62-conversational_prose-unwatermarked","seed":941984,"text":"\n\nUse clear and simple sentences with clear, unambiguous language.\n\nUse short paragraphs that are easily understood and concise.\n\nUse short paragraphs that are easy to follow.\n\nThe first step is to find out why your book is good for you. Why a book is good for you and why you","text_sha256":"153ba2641a57ff417158212d4697e5552befdd81749b1dbfd8235befd224fa40"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-940000-62-conversational_prose-watermarked","seed":941984,"text":" Use a list of the main findings with one or two simple points. Don't use any acronyms.\n\n\nThe third way to understand what a problem is is to look closely at the data. Look at the chart below to see how much the numbers change based on the amount of time the study went through (","text_sha256":"db1e37ae8c5bec3269ffe213c5bf10d935cb7799694511abcbb6d65dddc7306a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-940000-63-structured_instructional-unwatermarked","seed":942016,"text":"\n\nThe first step in the test consists of two separate tests, one for each step. 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scale replication","visible_pass_rate":"256/256"} diff --git a/evidence/cycle8-letter-960000-2026-08-26/README.md b/evidence/cycle8-letter-960000-2026-08-26/README.md new file mode 100644 index 00000000..26534b57 --- /dev/null +++ b/evidence/cycle8-letter-960000-2026-08-26/README.md @@ -0,0 +1,18 @@ +# Cycle 8 letter-x1 diagnostic rescore (seed 960000, 16 pairs) + +Development-only diagnostic rescore of a **seen** density corpus. Not unseen validation. Not confirmation. Seed `960000` was generated for space versus word-final density. This artifact reapplies detector-blind U+034F after ASCII letters (`u034f-letter-x1`) to the same stored samples. + +Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +Space x1 and space-wordfinal on this corpus remain **1/16**. Do not rewrite those frozen density results as zero. + +## Result + +| Arm | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | NFC WM | Raw UW | Visible | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 0/16 | 32/32 | +| u034f-letter-x1 | **0/16** | 0/16 | 0/16 | 0/16 | 0/16 | 0/16 | 32/32 | + +Fail-closed identity count 0. Mean insertions 190.125. Raw transformed WM max score 0.51699 versus threshold 0.55710. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-960000-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-960000-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..31e89a7e --- /dev/null +++ b/evidence/cycle8-letter-960000-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +8dcf2f321fb406bb6bc566623a0989f23a334f174623cf193097bfc783708e9c README.md +e4131a4da0601347b4db28d84275f3209efa86f6598bf7f40752f789526d8f0b decision.json +8f068f22e316cde88a333a5aac2c324be7473275e16ae31a2c94b52d7596cb40 detector-compare.json diff --git a/evidence/cycle8-letter-960000-2026-08-26/decision.json b/evidence/cycle8-letter-960000-2026-08-26/decision.json new file mode 100644 index 00000000..b58dd879 --- /dev/null +++ b/evidence/cycle8-letter-960000-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":16,"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. 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It is now clear that we cannot accept that carrier density will be higher than 50% if we take into account factors such as population size, population density","text_sha256":"21e774b2db3c2f432e34dd2e1f33a78c9d7be201a78701909c6d060a355bc92f"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-960000-00-general_explanatory-watermarked","seed":960000,"text":" Use a common language of \"why\" and \"when.\" Explain why a specific carrier density can be achieved, if possible, with more precise, concise language.\n\nFor example: Why do I need an extra carrier?\n\nFor more information on carrier density follow-up, see the article on the topic.","text_sha256":"fef04eaf1a8a4e06bc943edafb7643443f6008d5f91bcbd53bedff2a4e79ca9c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-960000-01-technical_explanation-unwatermarked","seed":960032,"text":"\n\nThe first problem that arises from this method is that it assumes that the device will be a single-cell device. This can be an expensive mistake that can lead to a single-cell device being not in use. For example, in a small laboratory with only one cell, each cell will be isolated from all","text_sha256":"3185f897330b1744d6a2ce168adbde2a9a494efb03066736eb5db17c4d5642b8"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-960000-01-technical_explanation-watermarked","seed":960032,"text":" You want to test the whole system, or one single system, on multiple devices. To do this, you must use a system that has an \"average\" density. Your system should be well-optimized for the system you are testing. If it is poor, use the network-level network analysis. If it","text_sha256":"3fc59df9fd6f7fa79260c60f739ee39d956ad4977a70a8ff93e6269821b7a9ab"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-960000-02-conversational_prose-unwatermarked","seed":960064,"text":" If the answer is \"none,\" you're probably not getting the message you need. The carrier density is about the average amount of people in your area.\n\n2. Try to explain the concept of the carrier density without the use of jargon. If you're a newcomer to the industry, this approach will likely come","text_sha256":"56f5db5bfac9c8c37394fb650cff9fd6e7bdad8cfc1ac70b7e057d494d349578"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-960000-02-conversational_prose-watermarked","seed":960064,"text":" A recent study found that even an eight-person-carrier carrier can yield a more than 90 percent reduction in their overall passenger traffic.\n\nI've already provided an outline of what is happening in the United States. The chart below is based on what I did to get started with the study. My hope is","text_sha256":"248a2a5e83236596fdbd99a9ddd0aa34aa2e241d1807494d452fdad232eec0a1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-960000-03-structured_instructional-unwatermarked","seed":960096,"text":"\n\nTo make the carrier density experiment more realistic, we used the same data and made a final test of the same approach. The original experiments were also written down and then compared in a real-world situation. We used this as the baseline test to determine the effect of carrier density on a certain number of participants.","text_sha256":"5e819c0bf9f252542cd37b31c666a613c66d385534a52badd34813f1f86a68c3"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-960000-03-structured_instructional-watermarked","seed":960096,"text":" Use a second step to apply carrier density and let your cell read the final cell.\n\n\nWeeks later, we get a very good readout of the entire cell. This means we've started the process of reading the whole cell and then turning on the lights and running to the bathroom.\n\n\nA week later","text_sha256":"12bff9599ed10e4fc93f89a1132d3abbbbfe0a01c38f891bed60cf50cc6d6209"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-960000-04-general_explanatory-unwatermarked","seed":960128,"text":"\n\nWhat we need is a way to tell the story of how the carrier density change will affect us. I've found that it's often too simple and doesn't follow through to the intended conclusion.\n\nWhat is carrier density?\n\nThe density of an object or the number of particles it is travelling at","text_sha256":"2ecefb99b511c6ce542143bc2cb60a28c9e7eb8912b76ede0dc104b5a09aeb05"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-960000-04-general_explanatory-watermarked","seed":960128,"text":" Use a list of the most common carriers.\n\nA carrier is the largest type of ship that has ever been built. It has been used in the construction of ships for the past 200 years. The name \"carrier\" is a reference to a ship design, which was designed to make use of the water and","text_sha256":"ec29adc226b6ad30a17d1c82d83df6af8f83874191fc75460ee4b5897e2fbe49"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-960000-05-technical_explanation-unwatermarked","seed":960160,"text":"\n\nHow does the difference in carrier density of the two implementations affect our prediction?\n\nData are collected to compare the density of two different devices.\n\nThe carrier density of the two implementations is computed from the data collected, using an algorithm described in the previous section.\n\nThe two implementations are identical in","text_sha256":"823aa472780af86a61a0788833ca277613602779cc7c4731d28deea2e9953d0f"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-960000-05-technical_explanation-watermarked","seed":960160,"text":" Use a new algorithm to solve the problem. In the first step, add a new algorithm that can make the proof of concept work. The algorithm must not have an effect on the proof of concept but does work with it. The proof of concept is a proof of concept that has been designed to do the right thing.","text_sha256":"93abdbf3f13c134e9e6824c327d07bcfa4ca564a285846d76d84d1ac1d16ff7c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-960000-06-conversational_prose-unwatermarked","seed":960192,"text":"\n\nHow do you make a customer's life easier?\n\nDon't assume that you know the answer to a question. Do it because you know what you are doing.\n\nAnd, if you don't know the answer, don't assume that your questions are answered. Don't pretend that you know the","text_sha256":"9ce53de71a6cc348a39d2423a61fa511439eb35ca813d3bd88e8fef85bddd62d"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-960000-06-conversational_prose-watermarked","seed":960192,"text":"\n\nUse a story that shows the importance of both the experience and the question and is related to the topic. If it's related to the topic, use a story that provides a more concrete, understandable explanation.\n\nUse a question that helps you to understand the meaning of the question. Consider the context. For","text_sha256":"77042ad2cc146e409e0115b79993601a6086886ac67d5c8deac213c3cc333e51"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-960000-07-structured_instructional-unwatermarked","seed":960224,"text":"\n\nIn a controlled experiment, I used a combination of three different strategies: (1) a simple, but very short single-step instruction to increase a carrier density, (2) a quick, but very long, single-step instruction to increase a carrier density, and (3) a combination of three different","text_sha256":"02f16928f7de91725b3aac9be9bf406914d485c4fc7b7171451bb3f8667d34bf"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-960000-07-structured_instructional-watermarked","seed":960224,"text":" Use a test condition to see if your test can do this in the real world. Try different techniques.\n\n\nThe two things that make it different from an on-site test are that you can see the impact of the test in the real world. You can try to find the right test condition before performing the test","text_sha256":"dff191e234a5237b7e2a2853fd9bc669496f61c994f1b9b45679e03666444a14"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-960000-08-general_explanatory-unwatermarked","seed":960256,"text":"\n\n\"A single particle of matter can have different properties and be observed from different locations. Different people think that a particle has different properties, but the truth is that some particles can have the same properties.\"\n\nBut this is not the case. The most common particle is the electron. In fact, it's","text_sha256":"d3cd247345a42d3e904e075e8bc59a898e59bccabb36a78b19dac4c6d80282d9"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-960000-08-general_explanatory-watermarked","seed":960256,"text":" Use a single sentence or sentence only. Use clear, unambiguous sentences. Use sentences that are more than 5-second long or longer. Use a short or long sentence. Use a very long sentence. Use a long sentence with a number of repeatable items.\n\nExamples\n\n(1) (2)","text_sha256":"fabe15b45b102d088dda936e2b705b86234f5e11d67c0acfe3cd7055f7915b15"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-960000-09-technical_explanation-unwatermarked","seed":960288,"text":" Define a validation test, where a test has been run on the same carrier and only one of the two results is found. Use the tests to provide a more accurate measure of carrier density.\n\nExamples:\n\nTo test the impact of carrier density on the density of an object, we use a simple case","text_sha256":"3f34fe8222fd83e9b5ace34753aa2056cc040866f1a382955584912550deeef8"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-960000-09-technical_explanation-watermarked","seed":960288,"text":" Define the target of each validation check, and show it as a single event, with the result in a data structure of 100KB.\n\nExample 3:\n\nFigure 4 shows a large-scale test case of the concept of the \"disconnection\" of the \"super-user\" device. In a","text_sha256":"074b476ee3b9d926af6aa815790f9121d154ffff9c3a82f881b53a923c5fde2d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-960000-10-conversational_prose-unwatermarked","seed":960320,"text":" Use a small vocabulary to create a simple and clear explanation.\n\n\n3. Make it clear why you're using your phone\n\nMany people are just not used to using their phones. We do that all the time with our phones. We've seen the difference in how quickly a device is charged and how quickly it","text_sha256":"65b0c90d2500183629473bfc1578b6c266d2e2e0fe4d292e10180392663d19d9"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-960000-10-conversational_prose-watermarked","seed":960320,"text":" Use a simple and concise answer. The answer will likely not be easy to understand, and will make you think about why it matters.\n\nThis technique is often used in marketing and recruiting. The goal is to have the person explain the business to the interviewer, even if they are not in the same industry. If","text_sha256":"b04581abd8619064a84587fe761b55df705bc4c65298ebb77ba46f466d411dba"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-960000-11-structured_instructional-unwatermarked","seed":960352,"text":"\n\nNote:\n\n- If you are applying a carrier density to a block, do not apply it as a step.\n\n- If you are applying a carrier density to a block, do not apply it as a step. - If you are applying a carrier density to a block, then apply it as","text_sha256":"9b7dcbea1391a47e9a4113c7e90d74d31ae72b24d05c0b230844f11222a47714"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-960000-11-structured_instructional-watermarked","seed":960352,"text":" Use a second step to apply carrier density, and then a third step to apply particle density. Use a fourth step to apply particle density and a final step to apply particle density. Use the same procedure for applying carrier density in a second experiment. In this second experiment, we will use a carrier density of 3.5","text_sha256":"c17ce2b34bcec49c3cd9624353183c586f144f2e94d0d910becca210fa909ae7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-960000-12-general_explanatory-unwatermarked","seed":960385,"text":"\n\nIn the end, it would be useful to show that the average density of the carriers over time is about 2.5 times the average density of the ground. This is not an unreasonable amount of weight, but the carrier density at the time of the observation is so large that it's difficult to imagine it being","text_sha256":"84213feef4041fd01a080de643ceea416654fc482a246dc30e9539d746a08c54"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-960000-12-general_explanatory-watermarked","seed":960385,"text":" Try this one: \"A carrier density is a constant density of cells that are constantly divided into different cells. Cells in the same cell group have different cells in different cells. When the cellular group increases in size, there are more cells in it than there are in the cell group that was previously in a cell group of","text_sha256":"2e35755f332e60317d02c2bc34443ddd92c8aa312f1ec47cb8908c66973b1783"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-960000-13-technical_explanation-unwatermarked","seed":960416,"text":" Explain the significance of each failure mode. How to set up the validation check, what to do after each failure, and what to do when the validation check does not come back with a valid result. The validation check should be followed with a simple set of steps.\n\nThe main idea, one failure mode, and","text_sha256":"372b6af382cc884bf97972b607fa922ec90029c5bfa8e5f6150a8f1010a02f14"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-960000-13-technical_explanation-watermarked","seed":960416,"text":" For example, a driver who crashes an IETF server might write the following code:\n\n// The failure modes can be defined as: // The driver does not want to open the crash window when a crash occurs // In the initial implementation, the driver would only want to open the crash window when the crash occurs //","text_sha256":"8b6b0bde72f0055103c4dced6c5a618eab5473fa9fbad5f89d4911b1deecf2d8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-960000-14-conversational_prose-unwatermarked","seed":960448,"text":" Keep it simple, and in line with the language you want.\n\n5) In this article, I will show you the simple way to use the concept of 'fiber' to describe the use of certain objects.\n\nUse a natural conversational prose while keeping the explanation specific. Keep it simple, and","text_sha256":"c561654fb3e4bc80a7b040e6b83987c98d6963782f2388e47913c82aa09d84a9"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-960000-14-conversational_prose-watermarked","seed":960448,"text":"\n\n(2) The following table has been adapted for use in the following chapters:\n\n\"The United States is ranked among the most congested countries in the world.\"\n\n\"What is the United States' average traffic congestion rate?\"\n\n\"How many drivers do you see every day?\"\n\n","text_sha256":"7a51fdf203aa552a4869a412ab960c06fe145e7e7edc5d3d4ac6d16cecdc480c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-960000-15-structured_instructional-unwatermarked","seed":960480,"text":"\n\nStep 2: Apply carrier density\n\nStep 3: Apply carrier density\n\nStep 4: Apply carrier density\n\nStep 5: Apply carrier density\n\nStep 6: Apply carrier density\n\nStep 7: Apply carrier density\n\nStep 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density follow-up","visible_pass_rate":"64/64"} diff --git a/evidence/cycle8-letter-970000-2026-08-26/README.md b/evidence/cycle8-letter-970000-2026-08-26/README.md new file mode 100644 index 00000000..5753c428 --- /dev/null +++ b/evidence/cycle8-letter-970000-2026-08-26/README.md @@ -0,0 +1,18 @@ +# Cycle 8 letter-x1 independent exploratory (seed 970000, 16 pairs) + +Development-only. Not confirmation. Seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison: identity versus U+034F after ASCII letters (`u034f-letter-x1`) with visible-word invariants, quote-interior carrier policy, and a detector-blind selected-site cap of 192. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. Hard-invariant fail-closed site skipping remains. No visible-edit fallback. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | NFC WM | Raw UW | Visible | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 16/16 | 16/16 | 16/16 | 16/16 | 16/16 | 1/16 | 32/32 | +| u034f-letter-x1 | **0/16** | 0/16 | 0/16 | 0/16 | 0/16 | 0/16 | 32/32 | + +Fail-closed identity count 0. Mean insertions 187.9375. Raw transformed WM max score 0.52455 versus threshold 0.55710. + +This is an independent generation, not a rescore of `930000` / `940000` / `960000`. Those seen corpora also have letter-x1 diagnostic 0/64, 0/64, and 0/16 artifacts. The n=64 expansion of this same seed is in `evidence/cycle8-letter-970000-n64-2026-08-26/` (0/64; this n=16 artifact is a prefix). + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-970000-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-970000-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..e0a369d2 --- /dev/null +++ b/evidence/cycle8-letter-970000-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +065a868eddb7af18883b41ec2ad8035f42c333937986421c13c1e6c117b73ef7 README.md +e4131a4da0601347b4db28d84275f3209efa86f6598bf7f40752f789526d8f0b decision.json +2c4a9dbdc2677434b901f1b49f76deccace4ad9ee828f55b805cadb9df38c354 detector-compare.json diff --git a/evidence/cycle8-letter-970000-2026-08-26/decision.json b/evidence/cycle8-letter-970000-2026-08-26/decision.json new file mode 100644 index 00000000..b58dd879 --- /dev/null +++ b/evidence/cycle8-letter-970000-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":16,"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 letter x1 rows","U+034F letter x1 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-letter-x1","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":"32/32"} diff --git a/evidence/cycle8-letter-970000-2026-08-26/detector-compare.json b/evidence/cycle8-letter-970000-2026-08-26/detector-compare.json new file mode 100644 index 00000000..ca107487 --- /dev/null +++ b/evidence/cycle8-letter-970000-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Assume that the test case consists of a simple non-linear pattern, that is, the carrier can't read any data, that the test case is different from the main test case. This test","text_sha256":"725cccd0d14d0f426e1ea64b29cbb819c4f4e4a192b718de1e43b7f3f464cef7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-970000-06-conversational_prose-unwatermarked","seed":970192,"text":"\n\n\nA common response is that there's a tendency to read the text in the first place. This is probably correct, but I'm still struggling to understand why this happens. If the text is very concise, the person who wrote the paragraph is probably too busy with reading it to notice it. A few minutes later","text_sha256":"6861aa87a40e3a988ad766f5d43e76c2e8d99242f576a434eb0872b07934cfe7"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-970000-06-conversational_prose-watermarked","seed":970192,"text":" Use a conversational \"to-do\" dialog in which you'll keep your mind up-to-date.\n\n6. Keep a journal. When you're not in a relationship, focus on your writing.\n\n6. Don't forget to get feedback.\n\nHere's one of the most important","text_sha256":"2898f07c34be1c05011ecfb2587c443516acacd0a7dcd580293d860f424b437f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-970000-07-structured_instructional-unwatermarked","seed":970224,"text":"\n\nIn this section I will discuss the two approaches to make the interword carrier follow-up easy. I will also try to explain how the step that involves repeating a single word results in a different action than using the same sentence, and how the process of applying a single step leads to a different outcome.\n","text_sha256":"6b43662a544e6fd29a165cebda8d3f2af0c10166ab85fd71427baa8ebe0c03c7"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-970000-07-structured_instructional-watermarked","seed":970224,"text":" Use a single verb, e.g., \"I love you\" or \"I'm always with you.\" Do this twice. Then repeat the third step. Repeat the final step, e.g., \"I love you and I will always love you.\" Repeat this process for several more steps.\n\nWhen doing","text_sha256":"a8fd9440496338fb79d632eb639b4a7e56117bfd02440e03d3907a931191444b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-970000-08-general_explanatory-unwatermarked","seed":970256,"text":" Write one sentence of a sentence without a quote. Write one sentence of a sentence without a comma. Write one sentence of a sentence with a quotation mark. Write one sentence of a sentence without a punctuation mark. Write one sentence of a sentence without a hyphen.\n\nExercise 1: Write one sentence of","text_sha256":"8ff0d9d627a82164691b97a7b8bfe864979a8eb9daf933c1075e0d9900e5fa9c"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-970000-08-general_explanatory-watermarked","seed":970256,"text":" Use a few sentences instead of five to make the whole article appear coherent.\n\nWhen writing a sentence, do not repeat the beginning of the sentence. This is because the verb is very long. We need to know the ending of the sentence in order to have a good idea of what is going to happen next.","text_sha256":"70d3411a436036d3f7aad61b63b565af14bdd4373f317224a68a78ead772d671"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-970000-09-technical_explanation-unwatermarked","seed":970288,"text":" A single failure mode might be a sign that the data has changed and a single validation check might be a signal that the data has changed. The primary approach is to analyze the effect of the new data. This is done by looking at the data in a series of sub-models and analyzing the results by the test conditions","text_sha256":"b17a835c2e7919e23a024764a8b964e33b92e88a8fc8302b5892cb4c3c31ee5b"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-970000-09-technical_explanation-watermarked","seed":970288,"text":" A failure mode is a type of failure that occurs when a software application tries to use a standard carrier.\n\nExample 3: Testing for failure in the main-partition\n\nTesting for failure in the main-partition is a method of defining what a device can do. In the example, the device will","text_sha256":"f38c779e8b202c994ca5d6a1bacbaa24f6f68ffe48ca4e70a4bd31fca3f4d498"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-970000-10-conversational_prose-unwatermarked","seed":970320,"text":"\n\nThe first step to success is to understand what is going on. If you're familiar with these topics, you're likely familiar with the idea of \"word-by-word\" carrier follow-up. In the case of this particular topic, however, you're going to want to see what the words are","text_sha256":"b1a7cf35227971ed56555e1fe1ec258bf4d8cbbe4e15347a5e1638fc7a76d9a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-970000-10-conversational_prose-watermarked","seed":970320,"text":" You will avoid misunderstandings and misunderstandings.\n\nWhen you have a question that needs clarification, ask the question in the form of a simple sentence, or a line of text.\n\nUse the word \"substantially\" to indicate the same meaning.\n\nAsk the question with emphasis.\n\nUse","text_sha256":"d36a743a645892022a43cf6d69d45ec48c3816ed316bbf4ba27580a35ade28f2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-970000-11-structured_instructional-unwatermarked","seed":970352,"text":"\n\nWrite a short three-step instruction for applying intra-word carrier follow-up in an experiment. Use complete sentences and keep each step concrete. A sentence is a set of words. It is the beginning of the sentence and the end of the sentence. The same sentence can be written to repeat the same set","text_sha256":"91e6f7c37af64c8f4ac1d53a665a9642e6f4289db2f6a545ce8139f9a7dcadc2"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-970000-11-structured_instructional-watermarked","seed":970352,"text":"\n\n\n\"We have a huge amount of memory,\" says David Brinkley, Ph.D., a professor of neuroscience and of neuroscience sciences at the University of California, Irvine. \"And we can't use all the information that we have now to do that.\"\n\nThe most important reason for the delay is","text_sha256":"04fe7e0a46e4aa9f8c6ec6534d053f44ce6c1ea506ebb53add6712e650fa6ed1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-970000-12-general_explanatory-unwatermarked","seed":970384,"text":"\n\nThe purpose of this section is to summarize what is currently known about the use of interspersed text in scientific research.\n\nThe Science of Interspersed Text\n\nOne of the most commonly used words in science is interspersed. If you take a look at the literature, you will find that","text_sha256":"211492148b76eb55a2cd59bbe155b3d8949431018125c44ca83c1c6c1f104889"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-970000-12-general_explanatory-watermarked","seed":970384,"text":" Don't make a single point in the research. Be concise. Don't say anything that is not logically apparent. Don't write anything that is not logical or that you think is correct. Be an excellent, highly motivated researcher who cares for the best possible outcome for your group of students. Be an excellent researcher who is","text_sha256":"06a2133d33b58de5d1c351ced65841981173dd20b98b1f687c148f38ac3211d1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-970000-13-technical_explanation-unwatermarked","seed":970416,"text":" The validation check should be an error message with all possible errors. If the check fails, the next test should be done to find the next failure mode, and then the validation check should be performed. Example 1: An interword carrier and an error message are generated. Define the main idea, one failure mode,","text_sha256":"921083e78d839a757911c46bda13be56b6ca98cbb13e6106d5c30b08d125dbf4"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-970000-13-technical_explanation-watermarked","seed":970416,"text":" See http://www.researchgate.net/abs/16079. The idea is to provide a way to verify the validity of a set of input statements. To do this, you must define a new test:\n\nvoid Test(const char *name, unsigned int test_id)\n\nThe","text_sha256":"21f3cd39d5c93f0410c1deef99c529f18c561beca22d246a0e4471023dbdba77"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-970000-14-conversational_prose-unwatermarked","seed":970448,"text":" You don't want the speaker to use an un-natural conversational style.\n\nDo not use any natural language when talking about someone else's needs and desires. Instead use natural language, and do not confuse those needs and desires with your own.\n\nYour goal is to get a feel for a person's","text_sha256":"a6b01edb00f839bf9a9bf2e2ec825c47ca7466e71ffe5ce16d8e06a1a0c07e21"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-970000-14-conversational_prose-watermarked","seed":970448,"text":" You don't have to be a genius to understand.\n\nWhen we first talk about the \"word-carrying-person\" problem, we often focus on the idea that there's a limit to the capacity of the speaker to convey the full set of words. But even then, there are lots of potential ways","text_sha256":"62b63935c9e195557d8431d9ad15799f242c3c77226eb91dabe73e3f0b96e1e8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-970000-15-structured_instructional-unwatermarked","seed":970480,"text":"\n\nIn the case of the second step, use a second line of the second step in a step sequence.\n\nIn the case of the first step, use a first line in a step sequence.\n\nIn the case of the second step, use a second line in a step sequence.\n\nIn","text_sha256":"f84a05fe5cace90923193efdbab3be5bd471a1c1a6ffa3cab345608042b82adf"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-970000-15-structured_instructional-watermarked","seed":970480,"text":"\n\n4. Repeat this four-step procedure until you get around to the second step in the procedure.\n\n5. Make sure you understand the three-step instructions before taking the second step and then read them down.\n\n6. Take the second step and take the first 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carrier follow-up","visible_pass_rate":"64/64"} diff --git a/evidence/cycle8-letter-970000-n64-2026-08-26/README.md b/evidence/cycle8-letter-970000-n64-2026-08-26/README.md new file mode 100644 index 00000000..c7b3aeb4 --- /dev/null +++ b/evidence/cycle8-letter-970000-n64-2026-08-26/README.md @@ -0,0 +1,20 @@ +# Cycle 8 letter-x1 independent exploratory (seed 970000, 64 pairs) + +Development-only. Not confirmation. Seed `970000` and topic `intra-word carrier follow-up` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison: identity versus U+034F after ASCII letters (`u034f-letter-x1`) with visible-word invariants, quote-interior carrier policy, and a detector-blind selected-site cap of 192. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. Hard-invariant fail-closed site skipping remains. No visible-edit fallback. Public CLI remains empty. + +This 64-pair corpus is an independent generation. The n=16 artifact in `evidence/cycle8-letter-970000-2026-08-26/` is a prefix of this corpus (32/32 sample text hashes match). + +## Result + +| Arm | Raw WM | Cf-strip WM | NFKC WM | ws-collapse WM | NFC WM | Raw UW | Visible | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 64/64 | 64/64 | 64/64 | 64/64 | 64/64 | 1/64 | 128/128 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 0/64 | 0/64 | 0/64 | 128/128 | + +Fail-closed identity count 0. Mean insertions 184.203125. Raw transformed WM max score 0.53039 versus threshold 0.55710. + +Together with diagnostic letter-x1 rescored of seen `930000` n=64 (0/64) and `940000` n=64 (0/64), this is an experimental **0/192**. Of those 192 pairs, **128 are seen-corpus diagnostic** and **64 are this independent corpus**. That is not confirmation and not a freeze. Do not rewrite frozen space-x1 `930000` 1/64 or `960000` 1/16 as zero. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-970000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-970000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..e7591614 --- /dev/null +++ b/evidence/cycle8-letter-970000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +c190401e03be5538763ab409aaa2ba62e3139d20e3aefd945d1f44f06d906ed5 README.md +1d2c17282489e83c0a0f011d2d5640167f2bf67deafe49945ad4efa5d3c032e0 decision.json +66e58fd26dbcedf72dd9a609d708b602368f86f4fcdd1e95f4a084b180d22acd detector-compare.json diff --git a/evidence/cycle8-letter-970000-n64-2026-08-26/decision.json b/evidence/cycle8-letter-970000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..4b3c889b --- /dev/null +++ b/evidence/cycle8-letter-970000-n64-2026-08-26/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 letter x1 rows","U+034F letter x1 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-letter-x1","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-letter-970000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..1ee199bc --- /dev/null +++ b/evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Assume that the test case consists of a simple non-linear pattern, that is, the carrier can't read any data, that the test case is different from the main test case. This test","text_sha256":"725cccd0d14d0f426e1ea64b29cbb819c4f4e4a192b718de1e43b7f3f464cef7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-970000-06-conversational_prose-unwatermarked","seed":970192,"text":"\n\n\nA common response is that there's a tendency to read the text in the first place. This is probably correct, but I'm still struggling to understand why this happens. If the text is very concise, the person who wrote the paragraph is probably too busy with reading it to notice it. A few minutes later","text_sha256":"6861aa87a40e3a988ad766f5d43e76c2e8d99242f576a434eb0872b07934cfe7"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-970000-06-conversational_prose-watermarked","seed":970192,"text":" Use a conversational \"to-do\" dialog in which you'll keep your mind up-to-date.\n\n6. Keep a journal. When you're not in a relationship, focus on your writing.\n\n6. Don't forget to get feedback.\n\nHere's one of the most important","text_sha256":"2898f07c34be1c05011ecfb2587c443516acacd0a7dcd580293d860f424b437f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-970000-07-structured_instructional-unwatermarked","seed":970224,"text":"\n\nIn this section I will discuss the two approaches to make the interword carrier follow-up easy. I will also try to explain how the step that involves repeating a single word results in a different action than using the same sentence, and how the process of applying a single step leads to a different outcome.\n","text_sha256":"6b43662a544e6fd29a165cebda8d3f2af0c10166ab85fd71427baa8ebe0c03c7"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-970000-07-structured_instructional-watermarked","seed":970224,"text":" Use a single verb, e.g., \"I love you\" or \"I'm always with you.\" Do this twice. Then repeat the third step. Repeat the final step, e.g., \"I love you and I will always love you.\" Repeat this process for several more steps.\n\nWhen doing","text_sha256":"a8fd9440496338fb79d632eb639b4a7e56117bfd02440e03d3907a931191444b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-970000-08-general_explanatory-unwatermarked","seed":970256,"text":" Write one sentence of a sentence without a quote. Write one sentence of a sentence without a comma. Write one sentence of a sentence with a quotation mark. Write one sentence of a sentence without a punctuation mark. Write one sentence of a sentence without a hyphen.\n\nExercise 1: Write one sentence of","text_sha256":"8ff0d9d627a82164691b97a7b8bfe864979a8eb9daf933c1075e0d9900e5fa9c"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-970000-08-general_explanatory-watermarked","seed":970256,"text":" Use a few sentences instead of five to make the whole article appear coherent.\n\nWhen writing a sentence, do not repeat the beginning of the sentence. This is because the verb is very long. We need to know the ending of the sentence in order to have a good idea of what is going to happen next.","text_sha256":"70d3411a436036d3f7aad61b63b565af14bdd4373f317224a68a78ead772d671"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-970000-09-technical_explanation-unwatermarked","seed":970288,"text":" A single failure mode might be a sign that the data has changed and a single validation check might be a signal that the data has changed. The primary approach is to analyze the effect of the new data. This is done by looking at the data in a series of sub-models and analyzing the results by the test conditions","text_sha256":"b17a835c2e7919e23a024764a8b964e33b92e88a8fc8302b5892cb4c3c31ee5b"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-970000-09-technical_explanation-watermarked","seed":970288,"text":" A failure mode is a type of failure that occurs when a software application tries to use a standard carrier.\n\nExample 3: Testing for failure in the main-partition\n\nTesting for failure in the main-partition is a method of defining what a device can do. In the example, the device will","text_sha256":"f38c779e8b202c994ca5d6a1bacbaa24f6f68ffe48ca4e70a4bd31fca3f4d498"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-970000-10-conversational_prose-unwatermarked","seed":970320,"text":"\n\nThe first step to success is to understand what is going on. If you're familiar with these topics, you're likely familiar with the idea of \"word-by-word\" carrier follow-up. In the case of this particular topic, however, you're going to want to see what the words are","text_sha256":"b1a7cf35227971ed56555e1fe1ec258bf4d8cbbe4e15347a5e1638fc7a76d9a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-970000-10-conversational_prose-watermarked","seed":970320,"text":" You will avoid misunderstandings and misunderstandings.\n\nWhen you have a question that needs clarification, ask the question in the form of a simple sentence, or a line of text.\n\nUse the word \"substantially\" to indicate the same meaning.\n\nAsk the question with emphasis.\n\nUse","text_sha256":"d36a743a645892022a43cf6d69d45ec48c3816ed316bbf4ba27580a35ade28f2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-970000-11-structured_instructional-unwatermarked","seed":970352,"text":"\n\nWrite a short three-step instruction for applying intra-word carrier follow-up in an experiment. Use complete sentences and keep each step concrete. A sentence is a set of words. It is the beginning of the sentence and the end of the sentence. The same sentence can be written to repeat the same set","text_sha256":"91e6f7c37af64c8f4ac1d53a665a9642e6f4289db2f6a545ce8139f9a7dcadc2"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-970000-11-structured_instructional-watermarked","seed":970352,"text":"\n\n\n\"We have a huge amount of memory,\" says David Brinkley, Ph.D., a professor of neuroscience and of neuroscience sciences at the University of California, Irvine. \"And we can't use all the information that we have now to do that.\"\n\nThe most important reason for the delay is","text_sha256":"04fe7e0a46e4aa9f8c6ec6534d053f44ce6c1ea506ebb53add6712e650fa6ed1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-970000-12-general_explanatory-unwatermarked","seed":970384,"text":"\n\nThe purpose of this section is to summarize what is currently known about the use of interspersed text in scientific research.\n\nThe Science of Interspersed Text\n\nOne of the most commonly used words in science is interspersed. If you take a look at the literature, you will find that","text_sha256":"211492148b76eb55a2cd59bbe155b3d8949431018125c44ca83c1c6c1f104889"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-970000-12-general_explanatory-watermarked","seed":970384,"text":" Don't make a single point in the research. Be concise. Don't say anything that is not logically apparent. Don't write anything that is not logical or that you think is correct. Be an excellent, highly motivated researcher who cares for the best possible outcome for your group of students. Be an excellent researcher who is","text_sha256":"06a2133d33b58de5d1c351ced65841981173dd20b98b1f687c148f38ac3211d1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-970000-13-technical_explanation-unwatermarked","seed":970416,"text":" The validation check should be an error message with all possible errors. If the check fails, the next test should be done to find the next failure mode, and then the validation check should be performed. Example 1: An interword carrier and an error message are generated. Define the main idea, one failure mode,","text_sha256":"921083e78d839a757911c46bda13be56b6ca98cbb13e6106d5c30b08d125dbf4"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-970000-13-technical_explanation-watermarked","seed":970416,"text":" See http://www.researchgate.net/abs/16079. The idea is to provide a way to verify the validity of a set of input statements. To do this, you must define a new test:\n\nvoid Test(const char *name, unsigned int test_id)\n\nThe","text_sha256":"21f3cd39d5c93f0410c1deef99c529f18c561beca22d246a0e4471023dbdba77"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-970000-14-conversational_prose-unwatermarked","seed":970448,"text":" You don't want the speaker to use an un-natural conversational style.\n\nDo not use any natural language when talking about someone else's needs and desires. Instead use natural language, and do not confuse those needs and desires with your own.\n\nYour goal is to get a feel for a person's","text_sha256":"a6b01edb00f839bf9a9bf2e2ec825c47ca7466e71ffe5ce16d8e06a1a0c07e21"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-970000-14-conversational_prose-watermarked","seed":970448,"text":" You don't have to be a genius to understand.\n\nWhen we first talk about the \"word-carrying-person\" problem, we often focus on the idea that there's a limit to the capacity of the speaker to convey the full set of words. But even then, there are lots of potential ways","text_sha256":"62b63935c9e195557d8431d9ad15799f242c3c77226eb91dabe73e3f0b96e1e8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-970000-15-structured_instructional-unwatermarked","seed":970480,"text":"\n\nIn the case of the second step, use a second line of the second step in a step sequence.\n\nIn the case of the first step, use a first line in a step sequence.\n\nIn the case of the second step, use a second line in a step sequence.\n\nIn","text_sha256":"f84a05fe5cace90923193efdbab3be5bd471a1c1a6ffa3cab345608042b82adf"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-970000-15-structured_instructional-watermarked","seed":970480,"text":"\n\n4. Repeat this four-step procedure until you get around to the second step in the procedure.\n\n5. Make sure you understand the three-step instructions before taking the second step and then read them down.\n\n6. Take the second step and take the first step.\n\n7.","text_sha256":"6f67faebe94e2516505f76f025b44cf1e61983d6d767b180e4fc916454a69a7c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-970000-16-general_explanatory-unwatermarked","seed":970512,"text":"\n\nIf you can't, go get a good job at an excellent business school, or a good law firm. If you don't find a job, make your first career decision to pursue an academic career.\n\nDon't be afraid to ask questions, especially if you're trying to understand a subject that isn","text_sha256":"0628b65d7f2159928cd2aede4550db0450d06d8d94ffc5736b004657c382d6d5"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-970000-16-general_explanatory-watermarked","seed":970512,"text":" Use a well-established jargon-free method. When appropriate, use a succinct and well-drowned acronym. Read carefully about all the different acronyms and acronyms used in scientific literature, and the acronyms and acronyms used in scientific literature that fall under these categories. This is not","text_sha256":"11610d235d5490bdf0ff2ecccaa1ad2591bba0ba209e9da6d397272adf4e50e3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-970000-17-technical_explanation-unwatermarked","seed":970544,"text":"\n\n3.3.1.1.4.4.1.4.1.4.1.2.2.4.4.5.6.6.6.7.8.9.10.11.12.13.14.15.16.17.18.","text_sha256":"07627cc08d6e3ae7528b43c51990b7c12ae4db6a9ff00daa4f4cc4d312cf1dff"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-970000-17-technical_explanation-watermarked","seed":970544,"text":" Use a single carrier to make sure that the results are consistent across all tests.\n\nIn this example, we'll perform a single test for a text-to-speech system using a carrier that's not a carrier.\n\nFor the second test, we'll use the text-to-speech system that we","text_sha256":"ad19ee6f85ab2f2ad0769c09894179d40db7178afb85fadb86c8a691aabe4d0e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-970000-18-conversational_prose-unwatermarked","seed":970576,"text":" The more time we spend conversing, the more likely it is that the speaker will understand that they are trying to answer the same question.\n\n\"When your voice comes out, you're speaking as a voice,\" explains Dr. Nasser. \"But you don't really have the vocabulary of a conversational speaker","text_sha256":"c6ed818efd0a81a6438f1c9f4b7b325239c1ff433189096fcc4e5ff7ee104fb8"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-970000-18-conversational_prose-watermarked","seed":970576,"text":" The more detail and detail, the better. For example, if you read the headline \"The Best and Worst of American High School Classes\" for the fifth time, and it appears to be true, you know it's a good read because you are writing to yourself.\n\nGet your hands on a single-page","text_sha256":"f97d941a83089ff469bac6fb98d08aef659c70c9a644a27b9d51bd08a1078450"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-970000-19-structured_instructional-unwatermarked","seed":970608,"text":" Write the following as a sentence: \"Let's go to bed and make dinner, you're tired.\"\n\nUse any combination of two or more of the following in a single sentence. Use the \"p\" sound to express the idea that the first line is to the left, or the \"x\" sound to","text_sha256":"d51cdfdf5dab7511d0c62e142ca16e79944ab0fc6b783cfc19f2acecdc26dad2"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-970000-19-structured_instructional-watermarked","seed":970608,"text":" (There are multiple versions of this procedure, which is not described here.) In an effort to see if there is a working translation of the whole word, we've added a few words to be used. The first part of this step is the word \"spun\", which is translated as \"to kill\". The second","text_sha256":"61d7d9d65dc1c9d691cdcd75d07aa4a9f3d1cc6dec86da5e0ec85508b07c7a16"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-970000-20-general_explanatory-unwatermarked","seed":970640,"text":" Then, use a well-crafted sentence to describe the event that led to your decision.\n\n\nYou have the ability to write the sentence that explains why you chose the topic. The sentence you choose will tell the story that you want to tell in the next three paragraphs. If you don't have the opportunity to write","text_sha256":"9f1fb0ada88e996047c09f711b8d25a4532e5669b8a0b1483cb8c86d22665a85"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-970000-20-general_explanatory-watermarked","seed":970640,"text":" Then let the reader find out about your work.\n\nTake all the evidence you've gathered that you have a good track record of working in this field. Be prepared to publish your work.\n\nKeep in mind that you should not expect all the evidence in a paper to be useful. But you should certainly expect","text_sha256":"38acab278d30382aa212dcb41f6f6906c9a10b9d5206ac235fb5e71afe4226ed"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-970000-21-technical_explanation-unwatermarked","seed":970672,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Consider the interaction between the primary stimulus and the secondary stimulus, with the main difference being that of the primary stimulus. The primary stimulus represents the primary target of the experiment. The secondary stimulus represents the secondary target of the experiment. The interaction","text_sha256":"329d4bc096609120dde66f40f5f82cba53ab19c1123c2b08547ea2b3b11adf96"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-970000-21-technical_explanation-watermarked","seed":970672,"text":" Use a single validation check to check that the two failures are not equivalent.\n\nThe failure mode should have the same or greater number of errors as the main idea. For example, if it is true that the two errors are equivalent, the failure mode should be less than one. If it is false, the main","text_sha256":"71381dda6dbee8c483e5d41430b50a2ed38e7ab5ab7c556327e7b5c58c995b03"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-970000-22-conversational_prose-unwatermarked","seed":970704,"text":" Keep the subject at a minimum to allow the reader to get a sense of the meaning. Keep the subject in the background.\n\nUse natural conversational prose while keeping the explanation precise. Keep the subject at a minimum to allow the reader to get a sense of the meaning. Keep the subject in the background. Keep","text_sha256":"78048287e0097066a9be3049a1ddcbf0705901d4a10a0e0a738d96e9c056e4e9"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-970000-22-conversational_prose-watermarked","seed":970704,"text":" Use a conversational approach that focuses on the subject at hand as opposed to the subject's language.\n\n5. Use a less complex or less repetitive approach to communication\n\nIn a conversational setting, the goal is not to convey the desired response, but to convey that the person is having a great time.","text_sha256":"4132d72562bbbcb00a3b5ade702d535e9a418901d744995fcebd5bc22b4a01ea"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-970000-23-structured_instructional-unwatermarked","seed":970736,"text":" A good idea is to check the correct time after applying your next step. This can be done on the first and last steps. If you do not have a fast timer (that is, you are not accustomed to using this method), you can use a timer that will only keep a single task in progress for a few","text_sha256":"60828ff0fe2afb8634ea5963713f494a2e5ed3fad71f7bee16bafe7100bad59b"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-970000-23-structured_instructional-watermarked","seed":970736,"text":" A good rule of thumb is to take three steps for every sentence in the experiment and then add a second step as needed to get to the final word.\n\nIn fact, the idea is simple: A single-spaced sentence is simply a sentence with a single carrier. If your code is doing this, and","text_sha256":"376fef47084c942fc555d418eed8ff808a2e211bd67f6d5b46ca824332eb2520"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-970000-24-general_explanatory-unwatermarked","seed":970768,"text":"\n\nEmpower the reader to focus on what he or she is observing while reading. Write a coherent sentence with an explanatory title or description in plain English.\n\nThe reader may feel compelled to go to the website of an expert with an interest in such topics. Or the internet could be a better alternative.","text_sha256":"1e242475b19e44dc1b8b67215b6272874847a86d60e9858c1e234485eb4ad16f"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-970000-24-general_explanatory-watermarked","seed":970768,"text":" Use a list of words in your sentence, such as \"I'm sorry\", or \"I'm sorry I'm sorry\" and repeat the sentence over and over, without missing a word. It may sound like a lot, but it's probably the most important way to understand the subject matter of your research.\n\n","text_sha256":"2309dec7c7259405baf7dbe44c83cb63762a4611d972e6b0e2d5fcbfd01829e6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-970000-25-technical_explanation-unwatermarked","seed":970800,"text":" (This is a special case when a simple example of a failure could be introduced.)\n\nTODO: A general approach for the present study.\n\nAcknowledgments\n\nThis work was supported by the National Institutes of Health and by the National Institute of Mental Health (grant K10-16/A","text_sha256":"1384df365d50ea5f377037a156a02de18bb1a5367a64dc85c86cefe981960384"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-970000-25-technical_explanation-watermarked","seed":970800,"text":" (This makes no difference when combined with the other two.)\n\nIf the validation check is successful, then use the results to show the overall state of the system. (If the validation check fails, then use the results to show the overall state of the system.)\n\nUse the results to show the overall state","text_sha256":"f450c14be27f659a5f2439ee4d276fce0980d61e64dd0c9afa44810301ae8a16"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-970000-26-conversational_prose-unwatermarked","seed":970832,"text":"\n\nAdvertisement Continue reading the main story\n\nIt's a good idea to ask this question repeatedly to see what happens. But remember: The answer can change based on the circumstances. Your next question should ask about the impact of other people's behaviors, not what they say.\n\nWhat's wrong with it?","text_sha256":"dea482846be1d6e49b41918eaa3b613029d577d86a2e28c40a83672bfe4be81d"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-970000-26-conversational_prose-watermarked","seed":970832,"text":"\n\nAs with the English language, it is a challenge to know if the subject is correct or incorrect. It is especially challenging if the subject is written in a language where it can be read as an interpreter's or a teacher's.\n\nWhen writing a sentence, use an in-depth review of what is","text_sha256":"7382e0849ad1cc2299b55502ee2267c86dbfe3afb6990718f4f2af04f5770fee"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-970000-27-structured_instructional-unwatermarked","seed":970865,"text":"\n\nStep 1: Pre-write each step as an instruction with a few small paragraphs.\n\nStep 2: Write a long section using the same text.\n\nStep 3: Make sure the instructions are coherent. (Note: You must write the instructions in a concise way.)\n\nStep 4: Make","text_sha256":"08a1a90feb3c675a6441135228bd94f8e55371cc1b35f8feeba27d97f350128a"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-970000-27-structured_instructional-watermarked","seed":970865,"text":" Use a 2-step or 3-step instruction for applying inter-word carrier follow-up in an experiment. Use complete sentences and keep each step concrete.\n\n5.5.3.1.3.3.4.4.4.5.\n\n4. BEGIN, QUIT,","text_sha256":"ff86cdc3d893b04c53123ebb885b0c4e932ab3d361fe4c9ee709a77c06effe38"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-970000-28-general_explanatory-unwatermarked","seed":970896,"text":"\n\n2.1.9 If you are interested in supporting this project, please consider donating to a dedicated fund ( http://www.reuse.org/donate ).\n\nIf you have any questions, please write to\n\nKaren\n\n(at) reuse.org\n\n1.","text_sha256":"86198fca686edef65ff5c3c47b253fab384cc581cfbc126e4155960fc583729d"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-970000-28-general_explanatory-watermarked","seed":970896,"text":" Don't go into technical detail about what it means to use your words.\n\nPractice using words that are not used in a direct way, and avoid repeating them in your sentences. Use your phrases as a noun, a verb, or an adjective.\n\nUse words that are used in a sentence as well","text_sha256":"8fa7866c47efd39f11abf6fe0b9200a68f3891d99615ab012f44d01dfcf08781"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-970000-29-technical_explanation-unwatermarked","seed":970928,"text":"\n\nExample\n\nThe following code provides a couple of examples to demonstrate this process.\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44","text_sha256":"11713665ed4841bdbb1182881d69b66c00e06a15056779d7a0aa633536aebe0b"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-970000-29-technical_explanation-watermarked","seed":970928,"text":" Use a series of validation tests to evaluate the validity of the first validation check. The validation tests must be consistent with the design of the first validation check. The first validation check must take account of the following: (i) the use of different prefixes in the second validation check; (ii) the presence of a","text_sha256":"43c02ecfd04802f8e854d79b2761e530627f228eff4b93c759fc1579b0e99cc1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-970000-30-conversational_prose-unwatermarked","seed":970960,"text":" If you say \"because they're trying to make it\" you'll get more attention in the long run.\n\nTake a look at the following table. The first sentence is more verbose and not exactly the point. The second sentence is more verbose and not exactly the point. And the third sentence is more","text_sha256":"d5885fee54d5c5b5ecb41fbfe9c49a3f1d45fad24e7ca7ad5a59d76e8c26210e"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-970000-30-conversational_prose-watermarked","seed":970960,"text":" Use a conversational style that reflects the listener's experience. Avoid asking for answers. When responding to an individual question, try to do so in a way that reflects the listener's response.\n\nDo not try to be too precise. Often times, when the subject is asked to describe a specific item, you may","text_sha256":"86742e10ae0b58ca91ed8bdb4132585ffb97c4b45c4d986fcd24eaafda98a72c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-970000-31-structured_instructional-unwatermarked","seed":970992,"text":"\n\n3.1.1. How to learn to speak in Spanish\n\nThe main difficulty in learning Spanish is having the ability to translate. It takes a lot of time and effort to be able to translate English. The more you learn, the more you'll gain in the language. Here are some things you","text_sha256":"1dc40bc01c45eeff2c271cb8854226bc8e96ba7a7f63b0a38df4d1e4db3e559a"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-970000-31-structured_instructional-watermarked","seed":970992,"text":" This means, that the task might be repeated in a continuous pattern in a few minutes.\n\nTry a new experiment. Write a short three-step instruction for applying intra-word carrier follow-up in an experiment. Use complete sentences and keep each step concrete. This means, that the task might be repeated in","text_sha256":"82f8ead87191c32161ccf1c86b33f2e3d7b9b2e8897a39c4dcbd9e58595c0e42"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-970000-32-general_explanatory-unwatermarked","seed":971024,"text":"\n\nI was so proud of my manuscript that I just went ahead and published it in the journal. It's one of those things where, oh, the world's first scientific journal is on my side, and I was so proud that I had written it. But what's so special about this piece is that I","text_sha256":"887fc711e91061200fd17829e26b70a104f68764be8eff0bbf31668f0d9d1ab0"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-970000-32-general_explanatory-watermarked","seed":971024,"text":"\n\nI'm not doing this for you.\n\nMy intention here is to make sure you read this article carefully and understand what it says about the relationship between language and communication. It's a bit of a long read, but that's what it says.\n\nThe best way to understand this article is to","text_sha256":"64cf955ef61ede17874ec23b9e62372fe461d34e7c4b1dd2612fb5458b9960bf"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-970000-33-technical_explanation-unwatermarked","seed":971056,"text":" (The final version may be used for additional experiments.) The experimental design should be consistent with the results of previous experiments in the same group. The group of experiments should have a single data point or two for which both experimenters have been tested.\n\nFigure 1. Example of an automated test case for inter-word","text_sha256":"f048f884d90ba46b07a66c890c9bac6d419297fee309e32f631986923b20bc64"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-970000-33-technical_explanation-watermarked","seed":971056,"text":" (A) Each trial is compared with the corresponding placebo control trial. The main result of the comparison is that the difference between the three trials is greater than the difference between the two placebo controls, i.e., the mean difference between the two trials is greater than the difference between the two placebo controls. (B)","text_sha256":"73247452b8663d4c0f52774c81ce0ad3d498fc6544117b8bcf23b78b3d8ffc26"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-970000-34-conversational_prose-unwatermarked","seed":971088,"text":"\n\nThis helps the listener to keep the topic brief.\n\nA few years ago, I published a book about the meaning of self-knowledge. It dealt with the role of self-knowledge in helping people to discover their own true selves. It came out in paperback and is available now in a Kindle edition.","text_sha256":"ea63df4f6b7b9af680d8d0d900b247d4bed59704e9e42e4714ccebb79f3de6e4"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-970000-34-conversational_prose-watermarked","seed":971088,"text":"\n\nThis is the type of strategy that many people are using to get their information to their readers and also to get them to understand their own writing. In the context of my book, I had to write a summary of the study using a simple sentence structure that is not easily breakable. This means that all the","text_sha256":"a73b7cbfad06275309156c8fdf1628893f80e0f22c58c65e04bc1ac3697851bd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-970000-35-structured_instructional-unwatermarked","seed":971120,"text":"\n\n(See illustration)\n\n\nA typical example:\n\nA couple of weeks ago I asked the guys on our team to write a short three-step instruction for applying intra-word carrier follow-up in an experiment. The guys answered all the questions. A quick recap:\n\nYou put 1-","text_sha256":"c1116c097d9039fdbcbcf400aede384d5de5be2acf0a973935b3a096323f4f0e"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-970000-35-structured_instructional-watermarked","seed":971120,"text":" Use a simple but useful method of word recognition. (A second, short program can be used to do this, but here's how it works.) When an expression of a single word is repeated, a sequence of sub-grammatical steps is done to identify the word. Repeat the entire sentence using a simple sequence of","text_sha256":"01652c857ac54a2aca34837d4a6b40b10186f4795bf5dd52187aa9f63565eb50"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-970000-36-general_explanatory-unwatermarked","seed":971152,"text":" Use a simple line-by-line formula to explain why each of the following are true:\n\nCalled 'U' means 'U+1'.\n\nU means 'U+1'. This means 'U+1' can mean 'U+2'.\n\nU means 'U+2'","text_sha256":"2b64d5f30b5474227974ba555d5764da0b5d7f2e9042ed509e2e5695927751af"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-970000-36-general_explanatory-watermarked","seed":971152,"text":" Use a list of three words or more and give them a set of three sentences with the set of three words. For example, for a list of six words, for each of the six words in question, write \"the six words are: 'The six words are: 'The six words are: 'The six","text_sha256":"309194c6c820d8c3420e1c8cc7d79a5d8d89e12975129957714538f850d37fea"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-970000-37-technical_explanation-unwatermarked","seed":971184,"text":"\n\nHow does the text text read? How are they interpreted?\n\nHow do the sentences in a novel read?\n\nWhy do we read it so often?\n\nThe purpose of this chapter is to develop a new way of understanding the text and a new way of understanding the text in the same way","text_sha256":"226300fb362dc5b561acfb93d24b42b732c89577064de8e1bee3fc18f1606bd4"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-970000-37-technical_explanation-watermarked","seed":971184,"text":" Use a list of the main ideas to define the key concept, including the key hypothesis of the test. The key concept can be defined with a simple, succinct, and concise way.\n\n1.1. Introduction\n\nThe primary idea of the experiment is to check for the failure of a single word, when","text_sha256":"2335c9e21a480a353e99c081d42a9223ec590d435e19a79f5cb8b8bed5b2c972"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-970000-38-conversational_prose-unwatermarked","seed":971216,"text":" (Or you might use written questions and follow-ups in a very natural way.)\n\nYou can also write a quick synopsis of your questions, which can help your writing. (Or you can use this tool to write a long summary.)\n\nIf you're writing with a strong focus on writing, try using","text_sha256":"33fc3ef0775de8959c4b07ea3d2ea777735817e3f4d0181fff354315ab027e16"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-970000-38-conversational_prose-watermarked","seed":971216,"text":" (Or, when you're trying to follow up with a friend in your spare time.) Don't ask your colleague what their favorite word is. It's best to ask them how they learned a word. Don't assume that a word is necessarily the same as another one. Instead, ask the question in your own way","text_sha256":"fe055e9330527ea8bd54e1fd7d77dcf96e94cdaac9664e52a0c5c3c6b89f9457"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-970000-39-structured_instructional-unwatermarked","seed":971248,"text":" Repeat the procedure to evaluate whether one of the two treatment groups will be able to produce the same effect. This procedure will be repeated three times.\n\nFor a complete list of research papers and experiments with this procedure, see these papers.\n\nFor more information about this procedure, see the articles \"The Interle","text_sha256":"2bab34c86bd78e03408115f7cbb346acea3726aa035862b90ff9892d9cde236c"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-970000-39-structured_instructional-watermarked","seed":971248,"text":" Use a single-word carrier at random to introduce new words or words to introduce new characters or new words to introduce new characters to an existing sentence. (For example, try a different word or phrase in the same sentence.) Repeat this step for more than one character of a sentence.\n\n(For example, try","text_sha256":"15fdec92479e5e4a386684e5d333588f03a0a6773123508064bf90a8ab532d4b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-970000-40-general_explanatory-unwatermarked","seed":971280,"text":"\n\nThe \"intermittent\" and \"intermittent\" paragraphs do not appear in any of the other paragraphs of this paper.\n\nThe \"intermittent\" and \"intermittent\" paragraphs appear to be the same as the \"intermittent\" paragraph. The \"intermittent\" paragraph","text_sha256":"3ea6729249706746bd53516e7b97dc27ad74db8fb5448f02b9b9e4ad2ee50c3f"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-970000-40-general_explanatory-watermarked","seed":971280,"text":" Use a short paragraph when possible. Use an action to reduce repetition in your writing. If you want to improve your prose, this is the book for you.\n\n10.\n\nWeird Math: We Need To Get Out Of Our Comfort Zone\n\nWeird Math. The world needs to wake up to","text_sha256":"5d92e711a86a56edaf19697b47c84317406a6260a550189247b10cdd175ddf1b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-970000-41-technical_explanation-unwatermarked","seed":971312,"text":" Define a system for testing the accuracy of the test.\n\n1) Evaluate the test\n\na) A test that will provide a positive result.\n\nb) A test that will give a negative result.\n\nc) A test that will give a positive result.\n\nd) A","text_sha256":"41bd30440d599d9528c1ffb2ea92c89c03bf57c42f817ab16038c94833d32edb"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-970000-41-technical_explanation-watermarked","seed":971312,"text":" Define a sample design for the study, to simulate that the study results are correct. Create a single validation check for each test, to guarantee that the test can be repeated. Use the validation checks to verify results, and to ensure that the test can still be repeated, as opposed to using them for one test at","text_sha256":"42c61389be7b955704e318686ab5d33715f1e634b8e98d30dd935b955e34a4e6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-970000-42-conversational_prose-unwatermarked","seed":971344,"text":"\n\nDo not repeat this question in a single sentence. Your client will need to think about what you want to say. Try to make sure you understand the point of the question and how you're doing it.\n\nTry to avoid using words that are not familiar to you. You may need to use words that","text_sha256":"999a4e33cfe95703bf2ffe8308e6c205d0450bb821d33393947dee75abdd248f"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-970000-42-conversational_prose-watermarked","seed":971344,"text":"\n\nDo not repeat the question in the first sentence, but only the second or third sentence, so you don't get confused. You are trying to help someone who may have been in a bad mood or in a bad mood but is looking for help.\n\nRemember that if you cannot help, try to communicate","text_sha256":"3a7ef5a2102b483a3b303fb1d6aa24f0052fb05738096dc3f7cb538775b2ceb6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-970000-43-structured_instructional-unwatermarked","seed":971376,"text":" You will see that each step is a step in which you apply a whole new set of commands and commands to the same task.\n\nIn this way you have the ability to apply multiple tasks to different tasks. This means you can be more flexible in how you create a series of commands.\n\nThe following example","text_sha256":"25ec6fbc244da5e9d354c6f15ae05e5511667bbcc64ec093030533bd3785d6b9"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-970000-43-structured_instructional-watermarked","seed":971376,"text":" You will find it easier to understand the task by just doing the step and simply doing a few more steps.\n\nWhen writing, choose your exercises carefully. Choose what kind of exercise you want to do with your exercise. For example, if you want to make a simple handstand, I recommend using a handstand","text_sha256":"a0e43bf87007f9d3b89ce93e19d718d1076135f689bf92c19fc2a5c5d74021b9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-970000-44-general_explanatory-unwatermarked","seed":971408,"text":" And when the subject is not covered in a succinct, easy-to-understand way, it will be too difficult to follow up with a coherent paragraph.\n\nA strong first sentence of the first sentence must be clear enough for the reader.\n\nThe following sentence must be clear enough for the reader:\n","text_sha256":"c14f5d40ec2b11f40b1bc8fc0a818413ff7339d45c02e146198250a86564ae1f"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-970000-44-general_explanatory-watermarked","seed":971408,"text":" Don't waste time on a single sentence. Don't be tempted to write the entire sentence in an unreadable style.\n\nUse this formula to get a good idea of why you need to write a single sentence.\n\nThis helps you to identify where you need to write your next paragraph and find the best way","text_sha256":"08966695391c31d459d3b4f24a9330bd3fefad42400ed25dcc8b6bdc31d792a9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-970000-45-technical_explanation-unwatermarked","seed":971440,"text":"\n\nIn a previous blog post, we examined the performance of the LDP-MSD (LDP-MSD) in an open-source program, the LDP-MSD, with a simple and fast code-writing and test framework that is easy to use for testing.\n\nIn an open","text_sha256":"742a365277d6a77c46a7579320bcb4c4926fd34df962fd6f10020ae837ad1540"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-970000-45-technical_explanation-watermarked","seed":971440,"text":"\n\nFigure 1: Overview of the data and the methods.\n\nIdentifying the most common failure modes\n\nThe data is then processed in two stages. First, we create a new single-word carrier and assign it a name. Then, we evaluate the failure mode and the validation check.\n\nFigure","text_sha256":"6e7d112bb2f64a1b548654fc25bf15bbd7d24042b5a2d74822d1ec61e70800f3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-970000-46-conversational_prose-unwatermarked","seed":971472,"text":"\n\n\n8. Keep the person you're trying to impress in mind. Be open to suggestions, but remember that your job is to show the person a compliment. If your friend is trying to impress you, try asking if he's \"just that man.\"\n\n\n9. Don't have a tendency to over-","text_sha256":"2f45dc1f3aef5af0bc39ecbca0591524f1a50adb055b541bbb38405489badf7a"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-970000-46-conversational_prose-watermarked","seed":971472,"text":" Use a conversational language like English or Japanese. Use a non-verbial format, like a verb. The problem with these terms is that they are often wrong. The solution to the problem is to get rid of them, using \"correct\" or \"correct.\" The more you use these terms, the less you","text_sha256":"48d5baafc3fe882bb79d6970129612813c5c47292532b8b7d98268c090e20492"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-970000-47-structured_instructional-unwatermarked","seed":971504,"text":"\n\nThe next phase consists of applying additional actions to the action sequence in question. These will be explained later. The first step is to use the following instructions. The next steps are to apply additional actions to the action sequence in question, and to apply additional action sequences to each action sequence, if necessary. The instructions","text_sha256":"37f1d4dcd95075b0f5c2058729915dd854aeef5212e0d3f184748d326e934263"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-970000-47-structured_instructional-watermarked","seed":971504,"text":" For instance, let's say you want to write a sentence that says, \"All the children of the world died because of the lack of a good education.\" There are many ways to write sentences like this. You can use one simple command and you can use multiple commands.\n\n1. Write a short three-","text_sha256":"3b20e47c22a2a71300b5ff12f919fcfbff2fe9f76ce12046eb0c11379872fe45"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-970000-48-general_explanatory-unwatermarked","seed":971536,"text":" Let's do the same for words that are not adverbial, but which are also adverbial. A simple example: A man walks along a street, and the person who hears him says, \"What happened?\" There is no reason for him to be surprised if he hears it. This is not the same","text_sha256":"6c9bb7d6c66f616d6535c8c2c64d5e958ac6ef364be8d3b2f2bff59ba16135cf"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-970000-48-general_explanatory-watermarked","seed":971536,"text":" Let the reader know what you think and what you think doesn't apply in the next sentence. Don't be the one who has to say the words after you get them. Don't make it sound like you don't like them. Write as you would if you had the time.\n\nA lot of the time","text_sha256":"cf5172382739050dd6518a222c90ff87f9c7abd84fa6f5ea8c170673fb6cef21"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-970000-49-technical_explanation-unwatermarked","seed":971568,"text":"\n\nWhat's the role of 'spark' in word detection?\n\nSpark is a general term for the interaction between an object and an external environment. It refers to the \"gene\" of the 's' word and its 'symbolic' meaning, which is a set of terms that","text_sha256":"e6b02fa8de5cf9cb0089bac4249ae1aa8d95fcebdb4dcd6a1bc750e470bc0d0f"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-970000-49-technical_explanation-watermarked","seed":971568,"text":" This is done by specifying a single test case (see Methods).\n\nThis is done by specifying a single test case (see Methods). Add a test case for each of the other main results in the project's documentation. The main results will be treated as if they were part of the main results.\n\nIn","text_sha256":"70ad6ebed65f7e4eb5f606ed95b3d46c9a94524a2636df9b5d797a670e7c2b68"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-970000-50-conversational_prose-unwatermarked","seed":971600,"text":"\n\nThe problem with this approach is that it doesn't take into account the social aspects of the conversation. But the problem is that the speaker is talking about an issue that is usually treated as a separate issue from their experience of the topic, and it's almost impossible to really explain how that was experienced.\n\n","text_sha256":"54f122d4368f134afcd35b2d07e2645904c8031ea6d60d77330a3084e461f76d"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-970000-50-conversational_prose-watermarked","seed":971600,"text":" Use a sense of urgency when explaining what you're trying to say.\n\nIt might be tempting to say \"I think I said the right thing\" and not have to explain things to the reader. \"Why didn't I tell you the right thing?\" \"Why didn't you say that?\" \"Why didn't","text_sha256":"592c1e423f7b40e7b037b215b0f0ce9b76bd0488e45c07083bbbfd4d6989306d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-970000-51-structured_instructional-unwatermarked","seed":971632,"text":"\n\nPrerequisite: Basic knowledge of English.\n\nA. Introduction\n\nIn the following sections, we will review the following techniques and the first two tests in the main application of the techniques mentioned above. The first two tests are required for understanding the language and the second tests for the application of the techniques mentioned","text_sha256":"ea65087ab02c73c63c1fb6c477db2690f2ba14bbb6d2b1f7c85ee0b4a7afcecf"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-970000-51-structured_instructional-watermarked","seed":971632,"text":" Use a different phrase and make sure you understand how the sentence breaks down and how it is divided into the following steps: Step 1: Apply a few words per sentence in the sentence at the beginning of the sentence. Step 2: Move a sentence along the sentence to the beginning of the sentence. Step 3: Apply a","text_sha256":"dd3b3a463868b79d7bc0426a0573733c4c060309fdd5b8c20462e95bb57e5c1b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-970000-52-general_explanatory-unwatermarked","seed":971664,"text":"\n\nExamine the effect of each of the four adverbial adverbs, including \"to go to\", \"to go to\", \"to go\".\n\nIn order to see how the language works, you need to know how to pronounce the adverb.\n\nYou may be able to get a sense","text_sha256":"1b4408e49828e1a5219f61ad280db138a622ed48f43a9db7227a4b8de1361b5b"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-970000-52-general_explanatory-watermarked","seed":971664,"text":" Don't use a verb or sentence that's verbose or irregular. Avoid repeating sentences that are difficult or confusing to read, or that don't make sense to a beginner.\n\nExample 4: If a word has a noun component, don't repeat the verb or sentence unless you have to.\n\nExample 5","text_sha256":"ec5a156e2487137ada722e92bd0288f42c5df57df9a563445f924f537075fbda"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-970000-53-technical_explanation-unwatermarked","seed":971696,"text":" The following is a simple description of the main idea. The main idea is to allow participants to follow up with test subjects while they have the same test results as their initial trial. It should be noted that the main idea is to allow participants to follow up with their initial test results while they have the same test results as","text_sha256":"b1b174401546cf02c5aaa4abf22880df416ac1f3aaf339a6e11314f6e75c14b0"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-970000-53-technical_explanation-watermarked","seed":971696,"text":" Analyze the results, and propose the next steps. The goal of this study was to study the influence of the intra-word carrier, the use of intra-word carriers, and the effect of the internal word carrier on the overall outcome. The authors used an open-source and open-access software version of the","text_sha256":"9edb4d88122484539121f24747ef4481a7f50180fd25cc452ab4ca342c2479ad"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-970000-54-conversational_prose-unwatermarked","seed":971728,"text":" Avoid using short declarative sentences with specific phrases or sentences. Write about the importance of your own interactions with your co-workers. Write about your relationships with your coworkers.\n\nWhen to Use Interaction-Based Textuals\n\nInteractive text-based text-based text-based text-based text","text_sha256":"14cc0e4b19183ffe3137e2ac0f282b64a69f86e9cf92b971406f8be02ad73dbe"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-970000-54-conversational_prose-watermarked","seed":971728,"text":" Avoid excessive repetition.\n\n5. Use natural conversational prose while keeping the explanation precise. Avoid excessive repetition. Avoid over-exaggerating the number of words.\n\n6. Avoid over-exaggerating the number of words. Don't use a word-counting tool that is designed to keep the","text_sha256":"82a4efd50776174c5e232f11e7d2e7a219b2b0961809a2d9f2bedd289af25cc6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-970000-55-structured_instructional-unwatermarked","seed":971760,"text":" The word carrier follow-up step was used in the first experiment. A brief summary of the experimental instructions in the second experiment: * Pre- and post-process the word carrier follow-up instructions (1) by adding a short two-step instruction in the second experiment. * Repeat the experiment to add two additional","text_sha256":"9c7c8560e2e5b0fce280beae138c7aa697df9ed1d72a758e8683cfd8494d883d"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-970000-55-structured_instructional-watermarked","seed":971760,"text":" Use a series of single- or two-step instructions for applying transitive and sub-transitive carrier follow-up (which are the same as the inter- and sub-transitive carrier follow-ups).\n\n4. Use the same set of instructions as for the first example. If there is","text_sha256":"51fe4b10023ab8d57269e373b0fe34424c878832e1ae1f3e6a78c35d13ad6577"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-970000-56-general_explanatory-unwatermarked","seed":971792,"text":"\n\nThe following essay was written by a senior scholar at the University of California, Berkeley. It is adapted from the book, \"Exposing Translational Significance in Translational Significance,\" by Edward M. Crouse, Ph.D., Professor of Statistics at California State University, Irvine.","text_sha256":"fa4d27550d20148d1b6678c412fd2882e3804bf515e7143cfef810fbbf31edce"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-970000-56-general_explanatory-watermarked","seed":971792,"text":" Use a list of words in your summary.\n\nThis example demonstrates how to write a short summary of an article (which requires you to use a list of words in your summary) using a list of words in plain English, followed by a list of words followed by a list of words followed by a list of words","text_sha256":"926490eed111713fdcd2a30f46ec8396f81c9ed7f890fc40ab3c94b3d6cb3853"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-970000-57-technical_explanation-unwatermarked","seed":971824,"text":" Define a validation algorithm for all the failures. This is a short presentation on the problem in advance, and should be followed by a talk about the main idea of this paper.\n\nThe goal of this paper was to review the literature on the effects of the inter-word carrier response on inter-word carriers (","text_sha256":"7b2084f97b3f2e2145c601549b724b2c9bf58673b1a28fcd22ecbb94991f2fa7"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-970000-57-technical_explanation-watermarked","seed":971824,"text":" Define an internal algorithm that determines the first failure mode to succeed, then a validation check and a test.\n\nIn this example, we create a function that will generate a test that will validate the results. We will use this function to test an alternative hypothesis: that the first failure mode is true. It is","text_sha256":"e2d751a9bd75f86f553a152fd3048961217efc021e57191bea60e3eaa5ea17da"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-970000-58-conversational_prose-unwatermarked","seed":971856,"text":" Use the subject matter to explain something important, and keep the context, in line with the subject matter.\n\nOne of the most important things you can learn from a speaker is to focus on the subject in the first sentence. If you've spent any time with a speaker, you can tell him that you want to","text_sha256":"c1010729c548130e3c7ebe37406ad6532ff800ea9cd622a55b45dbdfa8517a9b"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-970000-58-conversational_prose-watermarked","seed":971856,"text":" Use a natural English approach.\n\n1.1.1.1 How do you figure out whether the word \"maggie\" comes from the verb \"maggie\" or \"maggie-maggie\"? The answer should come out as clear as day.\n\nMaggies are not","text_sha256":"7e7902ebe59244992f162b73a3c2ab5c8350fa2d5cbb379bbc910c85d9959498"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-970000-59-structured_instructional-unwatermarked","seed":971888,"text":"\n\nIf your research is well-supported and your students are well-versed in the concept of language acquisition, you may be able to achieve a better understanding of why this is the case. This article discusses several different approaches for learning and working with the corpus.\n\nI. The first step to understanding your","text_sha256":"ed1fe7cac8ef430065666aae53e203c7ca0a9c78e4f1f5fc6b0fdd125a042ed4"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-970000-59-structured_instructional-watermarked","seed":971888,"text":" This helps to keep the sentence structure manageable.\n\nThis simple program makes it easy to learn the most complex command-line utilities in the operating system. It is easy to use and it works very well. This little program is one of the most powerful computer programs on the market.\n\nWe encourage you to read","text_sha256":"ef638a2d69a1fc4477c4ce16ebed3737e5905ceb2ab67be2a383f28334b2b044"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-970000-60-general_explanatory-unwatermarked","seed":971920,"text":"\n\n(4) A good example is the concept of \"a non-linear process\". This term is used in several papers, particularly in relation to the theory of the linear flow. It has been suggested that there is a special effect to the idea of a \"non-linear process\". It is often used by","text_sha256":"bd11a06c98e9aafeb4988bef9ce96b286081f69be92a1999db8f9097f98addc5"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-970000-60-general_explanatory-watermarked","seed":971920,"text":" This is not a good idea. Write more concise paragraphs. Include a brief summary of the reasons why you need to write this paragraph. Write less than 3 pages in length. If your purpose is to highlight your points, write more than 3 pages. Include a brief summary of the reasons why you need to write this paragraph","text_sha256":"7eaedd2f7d3a6d87b791fc1afd812d32e5ec111f45ecfc132540ac22f49e43a9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-970000-61-technical_explanation-unwatermarked","seed":971952,"text":" Explain why we have different approaches to fail-safe code for different situations.\n\nThe key to success\n\nWe have developed an open source approach to deliver and test critical data. We have tested our open source tools on many platforms:\n\nLinux\n\nMac\n\nWindows\n\nWe have a great reputation","text_sha256":"e472e87a5651d987a6b2d357d7482306dde14593c96efb1d7b151033c9f31665"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-970000-61-technical_explanation-watermarked","seed":971952,"text":" Use a list of validational approaches to solve this problem.\n\n6.6.3.2.1.2.1.2.2.3.4.3.4.5.6.7.8.9.10.11.12.13.14.15.16.","text_sha256":"581b568e656fb4be48fb1a431cb6ed9f9244df4a91b3112bc5e8d13a2c968c90"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-970000-62-conversational_prose-unwatermarked","seed":971984,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Use non-interactive grammar. Read the English language and make your own rules.\n\nRead the English language and make your own rules. Avoid sentences with short titles. Don't just read a sentence. Read more.\n\nAvoid sentences with short","text_sha256":"b472cd9f51003024548c3793d2645190b258392ae0cf4372a600bb6b0da4295e"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-970000-62-conversational_prose-watermarked","seed":971984,"text":" Use a conversational language of your own. Avoid being rude and threatening when speaking with a non-native speaker, and speak with a person who is familiar with your situation. Don't try to talk about the situation in a way that's insulting to the person you're trying to ask. In order to get the results","text_sha256":"12189311d0132a86c07098c8d22cb027678a524d0704547082552190c8ce89f1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-970000-63-structured_instructional-unwatermarked","seed":972016,"text":"\n\n5. Achieving a successful test (i.e., no more than 30-minute rest intervals, no time limit) is required to overcome the difficulty of getting into the correct rhythm.\n\n6. The test itself is a test. The test is about the same as a real test (no","text_sha256":"50ea033efe6466c7bbde0bd852d94e300134527b0efd7db0516365601fdac783"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-970000-63-structured_instructional-watermarked","seed":972016,"text":" Use a single-word carrier follow-up sentence. If you follow the three-step procedure to a minimum, do not leave sentences in the same order as your sentence-ending procedures. Your next step will be to start a new instruction, and then to repeat the sequence using the same instructions. 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carrier follow-up","visible_pass_rate":"256/256"} diff --git a/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/README.md b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/README.md new file mode 100644 index 00000000..69462d94 --- /dev/null +++ b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/README.md @@ -0,0 +1,20 @@ +# Cycle 8 letter-x1 experimental 0/192 + +Development-only tally. Not confirmation. Not a freeze. Letter-x1 is not in `release_transform_registry()`. Public CLI remains empty. + +This directory does not re-score the detector. It records that three already-scored 64-pair letter-x1 artifacts are each 0 raw transformed WM. + +## Composition + +| Corpus | Kind | Pairs | Letter-x1 raw WM | Artifact hash | +| --- | --- | ---: | ---: | --- | +| `930000` n=64 | seen diagnostic rescore | 64 | 0 | `bc440e8a8ffce27b4b759e0ebe46ba8bfc2b88fce896c8100add69ce56a5c89b` | +| `940000` n=64 | seen diagnostic rescore | 64 | 0 | `e61ae665b82936b64a6996463c5c90baf3cd0c921e49886d4896346edcc3d9f9` | +| `970000` n=64 | independent, reserved before generation | 64 | 0 | `6e3c67efc4ece996d8dd8389b26614746ed6488b5f0f466c7a8157ef5af38c1b` | +| **Total** | **128 seen + 64 independent** | **192** | **0** | see `tally.json` | + +128 of 192 pairs are diagnostic rescored of seen corpora used while developing letter-x1 (especially the frozen space-x1 residual on `930000`). 64 of 192 are independent seed `970000`. Seed `960000` letter diagnostic 0/16 is extra and is not counted in this 192. + +Frozen space-x1 facts remain: `930000` n=64 **1/64**, `940000` n=64 **0/64** (combined **1/128**), `960000` n=16 **1/16**. Do not rewrite those as zero. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..e991f363 --- /dev/null +++ b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,2 @@ +405591b5a37e0b16be66896f72f6055d4ab84f3a8c4d69f7ff60155cd3d8d45b README.md +ae4be0e375c7af38cf945d07d7e37487a0de9aca401bf744665a381cdf859603 tally.json diff --git a/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/tally.json b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/tally.json new file mode 100644 index 00000000..26ed6e36 --- /dev/null +++ b/evidence/cycle8-letter-experimental-0-of-192-2026-08-26/tally.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-letter-experimental-tally-v1","artifact_hash":"19b53b1c8e6e41fe23a12b0f7dd7f556e40facc7c4d7bf95ff9bcec3ab3c0f88","claim":"experimental_zero_of_192","confirmation":false,"corpora":[{"artifact_hash":"bc440e8a8ffce27b4b759e0ebe46ba8bfc2b88fce896c8100add69ce56a5c89b","kind":"seen_diagnostic","pair_count":64,"path":"evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json","seed_base":930000},{"artifact_hash":"e61ae665b82936b64a6996463c5c90baf3cd0c921e49886d4896346edcc3d9f9","kind":"seen_diagnostic","pair_count":64,"path":"evidence/cycle8-letter-940000-n64-2026-08-26/detector-compare.json","seed_base":940000},{"artifact_hash":"6e3c67efc4ece996d8dd8389b26614746ed6488b5f0f466c7a8157ef5af38c1b","kind":"independent","pair_count":64,"path":"evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json","seed_base":970000}],"do_not_generate_950000":true,"freeze":false,"independent_pair_count":64,"letter_raw_unwatermarked_detected_total":0,"letter_raw_watermarked_detected_total":0,"notes":"128 of 192 pairs are diagnostic rescored of seen corpora used while developing letter-x1. 64 of 192 are independent reserved-before-generation seed 970000. Not confirmation. CLI remains empty. Do not generate 950000.","pair_count_total":192,"product_authorized":false,"seen_pair_count":128,"space_x1_frozen":{"930000_n64":"1/64","940000_n64":"0/64","960000_n16":"1/16","combined_64_pair":"1/128"},"visible_pass_total":384,"visible_total":384} diff --git a/fuckmark/cycle8/compare.py b/fuckmark/cycle8/compare.py index dae804b2..de457292 100644 --- a/fuckmark/cycle8/compare.py +++ b/fuckmark/cycle8/compare.py @@ -9,6 +9,7 @@ from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1 from ..transforms.schema import CandidateRejectionReason from .registry import ( + cycle8_letter_carrier_registry, cycle8_space_carrier_registry, cycle8_space_wordfinal_carrier_registry, select_nonoverlapping_candidate_ids, @@ -23,6 +24,7 @@ CYCLE8_U034F_SPACE_RUN_ARM_ID = "u034f-space-x8" CYCLE8_UFE00_SPACE_ARM_ID = "ufe00-space-x1" CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID = "u034f-space-wordfinal-x1" +CYCLE8_U034F_LETTER_ARM_ID = "u034f-letter-x1" CYCLE8_DETECTOR_ARM_IDS = ( CYCLE8_IDENTITY_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, @@ -38,6 +40,10 @@ CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, ) +CYCLE8_LETTER_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, +) CYCLE8_FIXTURE_ARM_IDS = ( *CYCLE8_DETECTOR_ARM_IDS, CYCLE8_UFE00_SPACE_ARM_ID, @@ -50,6 +56,7 @@ CYCLE8_U034F_SPACE_RUN_ARM_ID: (0x034F, 8), CYCLE8_UFE00_SPACE_ARM_ID: (0xFE00, 1), CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: (0x034F, 1), + CYCLE8_U034F_LETTER_ARM_ID: (0x034F, 1), } @@ -72,6 +79,8 @@ def arm_approved_carriers(arm_id: str) -> tuple[int, ...]: def arm_registry(arm_id: str): if arm_id == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: return cycle8_space_wordfinal_carrier_registry(0x034F) + if arm_id == CYCLE8_U034F_LETTER_ARM_ID: + return cycle8_letter_carrier_registry(0x034F) spec = _ARM_SPEC[arm_id] if spec is None: return product_transform_registry() diff --git a/fuckmark/cycle8/decision.py b/fuckmark/cycle8/decision.py index 4b795a67..87a3a964 100644 --- a/fuckmark/cycle8/decision.py +++ b/fuckmark/cycle8/decision.py @@ -7,6 +7,7 @@ CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_RUN_ARM_ID, CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, CYCLE8_UFE00_SPACE_ARM_ID, ) @@ -164,6 +165,8 @@ def classify_scale_detector_compare( arm_label = "U+034F x1" elif transformed_arm_id == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: arm_label = "U+034F space-wordfinal x1" + elif transformed_arm_id == CYCLE8_U034F_LETTER_ARM_ID: + arm_label = "U+034F letter x1" else: arm_label = transformed_arm_id visible_total = int(u034f["visible_total_count"]) diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 6281213c..1d2ca5b4 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -7,6 +7,8 @@ from ..seeds.ledger import ( CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_DENSITY_EXPLORATORY_TOPIC, + CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -25,6 +27,7 @@ CYCLE8_SCALE_REPLICATION_ROLE = "scale_replication" CYCLE8_SCALE_VALIDATION_ROLE = "scale_validation" CYCLE8_DENSITY_EXPLORATORY_ROLE = "density_exploratory_development" +CYCLE8_LETTER_EXPLORATORY_ROLE = "letter_exploratory_development" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -38,6 +41,7 @@ CYCLE8_SCALE_REPLICATION_SEED_BASES = (CYCLE8_SCALE_REPLICATION_SEED_BASE,) CYCLE8_SCALE_VALIDATION_SEED_BASES = (CYCLE8_SCALE_VALIDATION_SEED_BASE,) CYCLE8_DENSITY_EXPLORATORY_SEED_BASES = (CYCLE8_DENSITY_EXPLORATORY_SEED_BASE,) +CYCLE8_LETTER_EXPLORATORY_SEED_BASES = (CYCLE8_LETTER_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" @@ -94,6 +98,8 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, "density_exploratory_seed_base": CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, "density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, + "letter_exploratory_seed_base": CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + "letter_exploratory_topic": CYCLE8_LETTER_EXPLORATORY_TOPIC, "scale_pair_count": CYCLE8_SCALE_PAIR_COUNT, "confirmation_reserved_seed_bases": list(CYCLE8_CONFIRMATION_RESERVED_SEED_BASES), "selection_rule": ( @@ -106,7 +112,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "Do not inspect 830000, 840000, or 850000. 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. Do not retune on Cycle 6 formal residuals." + "before density generation. Letter seed 970000 and topic " + "'intra-word carrier follow-up' were reserved in global-seed-ledger-v1 " + "before letter generation. Do not retune on Cycle 6 formal residuals." ), } @@ -131,6 +139,8 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_SCALE_VALIDATION_ROLE if seed_base in CYCLE8_DENSITY_EXPLORATORY_SEED_BASES: return CYCLE8_DENSITY_EXPLORATORY_ROLE + if seed_base in CYCLE8_LETTER_EXPLORATORY_SEED_BASES: + return CYCLE8_LETTER_EXPLORATORY_ROLE if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -162,5 +172,6 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_SCALE_REPLICATION_ROLE: CYCLE8_SCALE_REPLICATION_SEED_BASES, CYCLE8_SCALE_VALIDATION_ROLE: CYCLE8_SCALE_VALIDATION_SEED_BASES, CYCLE8_DENSITY_EXPLORATORY_ROLE: CYCLE8_DENSITY_EXPLORATORY_SEED_BASES, + CYCLE8_LETTER_EXPLORATORY_ROLE: CYCLE8_LETTER_EXPLORATORY_SEED_BASES, CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8/registry.py b/fuckmark/cycle8/registry.py index c68d45c8..7fa91b88 100644 --- a/fuckmark/cycle8/registry.py +++ b/fuckmark/cycle8/registry.py @@ -7,8 +7,17 @@ InvisibleCarrierAfterWordFinalAsciiLetterRule, space_carrier_rule, ) +from ..product.carrier_invariants import WORD_SIGNATURE_SOURCE_VISIBLE +from ..product.invariants import validate_user_visible_invariants from ..product.registry import ProductTransformRegistry -from ..transforms.schema import TransformFamily +from ..transforms.cycle7_quote_policy import ( + PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, + QUOTE_INTERIOR_POLICY_IDS, +) +from ..transforms.schema import InvariantStatus, TransformFamily + + +LETTER_CARRIER_MAX_SELECTED = 192 def cycle8_space_carrier_registry( @@ -24,11 +33,19 @@ def cycle8_space_carrier_registry( ) -def cycle8_letter_carrier_registry(codepoint: int, identifiers: Sequence[str] = ()) -> ProductTransformRegistry: +def cycle8_letter_carrier_registry( + codepoint: int, + identifiers: Sequence[str] = (), + *, + max_selected: int | None = LETTER_CARRIER_MAX_SELECTED, +) -> ProductTransformRegistry: return ProductTransformRegistry( (InvisibleCarrierAfterAsciiLetterRule.create(codepoint),), identifiers, approved_carriers=(codepoint,), + quote_policy_id=PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, + word_signature_source=WORD_SIGNATURE_SOURCE_VISIBLE, + max_selected=max_selected, ) @@ -56,11 +73,31 @@ def cycle8_space_wordfinal_carrier_registry( ) +def _compose_selected(text: str, selected) -> str: + chunks: list[str] = [] + cursor = 0 + for candidate in selected: + chunks.append(text[cursor:candidate.start]) + chunks.append(candidate.replacement_text) + cursor = candidate.end + chunks.append(text[cursor:]) + return "".join(chunks) + + def select_nonoverlapping_candidate_ids( enumeration, registry: ProductTransformRegistry | None = None, + *, + max_selected: int | None = None, ) -> tuple[str, ...]: + cap = max_selected + if cap is None and registry is not None: + cap = getattr(registry, "max_selected", None) + visible_words = ( + registry is not None and getattr(registry, "word_signature_source", None) == WORD_SIGNATURE_SOURCE_VISIBLE + ) selected: list[str] = [] + selected_candidates: list = [] occupied_until = 0 for candidate in enumeration.candidates: if candidate.start < occupied_until: @@ -68,13 +105,34 @@ def select_nonoverlapping_candidate_ids( if candidate.family is not TransformFamily.ORTHOGRAPHY: continue trial_ids = (*selected, candidate.candidate_id) - if registry is not None: + if registry is not None and visible_words: + trial = _compose_selected(enumeration.input_text, (*selected_candidates, candidate)) + report = registry._trial_invariants( + enumeration.input_text, + trial, + registry.identifiers, + enumeration.protected_manifest.user_ranges, + include_quotations=registry.quote_policy_id not in QUOTE_INTERIOR_POLICY_IDS, + ) + if report.status is not InvariantStatus.PASS: + continue + visible = validate_user_visible_invariants( + enumeration.input_text, + trial, + registry.approved_carriers, + ) + if visible.status is not InvariantStatus.PASS: + continue + elif registry is not None: try: registry.apply(enumeration, trial_ids) except ValueError: continue selected.append(candidate.candidate_id) + selected_candidates.append(candidate) occupied_until = candidate.end + if cap is not None and len(selected) >= cap: + break return tuple(selected) diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index a7cd6e66..24fc246f 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -30,6 +30,8 @@ CYCLE8_SCALE_VALIDATION_TOPIC, CYCLE8_DENSITY_EXPLORATORY_ROLE, CYCLE8_DENSITY_EXPLORATORY_TOPIC, + CYCLE8_LETTER_EXPLORATORY_ROLE, + CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -153,7 +155,9 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_SCALE_VALIDATION_TOPIC if role == CYCLE8_DENSITY_EXPLORATORY_ROLE: return CYCLE8_DENSITY_EXPLORATORY_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, or density seeds") + if role == CYCLE8_LETTER_EXPLORATORY_ROLE: + return CYCLE8_LETTER_EXPLORATORY_TOPIC + raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, or letter seeds") def _generate_cycle8_samples( @@ -395,8 +399,17 @@ def run_cycle8_detector_compare( ) -def rescore_cycle8_detector_compare(previous: dict[str, object], *, device: str = "cpu") -> dict[str, object]: +def rescore_cycle8_detector_compare( + previous: dict[str, object], + *, + device: str = "cpu", + arm_ids: tuple[str, ...] | None = None, + sanitizer_ids: tuple[str, ...] | None = None, + sanitize=None, + algorithm_version: str | None = None, +) -> dict[str, object]: from .cycle7_stage_a_hf import _adapter_and_tokenizer + from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant seed_base = int(previous["seed_base"]) role = role_for_seed_base(seed_base) @@ -405,15 +418,24 @@ def rescore_cycle8_detector_compare(previous: dict[str, object], *, device: str assert_cycle8_development_seed(seed_base, role=role) _backend, tokenizer, adapter, _identity_hash, eos = _adapter_and_tokenizer(device) samples = tuple(previous["samples"]) - arm_ids = tuple(previous.get("arm_ids") or CYCLE8_DETECTOR_ARM_IDS) - sanitizer_ids = tuple(previous.get("sanitizer_ids") or CYCLE7_SANITIZER_VARIANT_IDS) + resolved_arm_ids = tuple(arm_ids) if arm_ids is not None else tuple(previous.get("arm_ids") or CYCLE8_DETECTOR_ARM_IDS) + resolved_sanitizer_ids = ( + tuple(sanitizer_ids) if sanitizer_ids is not None else tuple(previous.get("sanitizer_ids") or CYCLE7_SANITIZER_VARIANT_IDS) + ) + if sanitize is None: + sanitize = ( + sanitize_cycle8_scale_variant + if "nfc" in resolved_sanitizer_ids or resolved_sanitizer_ids == CYCLE8_SCALE_SANITIZER_VARIANT_IDS + else sanitize_cycle7_variant + ) geometry_rows, scored_rows, summaries = _evaluate_samples( samples, tokenizer, adapter, eos, - arm_ids=arm_ids, - sanitizer_ids=sanitizer_ids, + arm_ids=resolved_arm_ids, + sanitizer_ids=resolved_sanitizer_ids, + sanitize=sanitize, ) return _build_detector_artifact( samples, @@ -421,9 +443,9 @@ def rescore_cycle8_detector_compare(previous: dict[str, object], *, device: str scored_rows, summaries, seed_base=seed_base, - algorithm_version=str(previous.get("algorithm_version") or CYCLE8_DETECTOR_VERSION), - arm_ids=arm_ids, - sanitizer_ids=sanitizer_ids, + algorithm_version=str(algorithm_version or previous.get("algorithm_version") or CYCLE8_DETECTOR_VERSION), + arm_ids=resolved_arm_ids, + sanitizer_ids=resolved_sanitizer_ids, pair_count=previous.get("pair_count"), ) diff --git a/fuckmark/cycle8_letter_hf.py b/fuckmark/cycle8_letter_hf.py new file mode 100644 index 00000000..1db7985a --- /dev/null +++ b/fuckmark/cycle8_letter_hf.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_LETTER_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_PAIR_COUNT +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_letter_generation_seed + + +CYCLE8_LETTER_DETECTOR_VERSION = "cycle8-letter-detector-compare-v1" + + +def run_cycle8_letter_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + pair_count: int = CYCLE8_SCALE_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_letter_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=CYCLE8_LETTER_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_LETTER_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-letter-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_LETTER_EXPLORATORY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_SCALE_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) + assert_new_cycle8_letter_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path(f"evidence/cycle8-letter-{args.seed_base}-2026-08-26/detector-compare.json") + detector = run_cycle8_letter_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=CYCLE8_U034F_LETTER_ARM_ID) + write_canonical_json_fsynced(args.detector_json.parent / "decision.json", decision) + print(canonical_json_text(decision)) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/fuckmark/product/__init__.py b/fuckmark/product/__init__.py index 18587ebe..8a5db2a8 100644 --- a/fuckmark/product/__init__.py +++ b/fuckmark/product/__init__.py @@ -1,3 +1,9 @@ +from .carrier_invariants import ( + PRODUCT_CARRIER_INVARIANT_ALGORITHM_VERSION, + WORD_SIGNATURE_SOURCE_RAW, + WORD_SIGNATURE_SOURCE_VISIBLE, + validate_product_carrier_invariants, +) from .carriers import ( InvisibleCarrierAfterAsciiLetterRule, InvisibleCarrierAfterWordFinalAsciiLetterRule, @@ -31,6 +37,7 @@ __all__ = [ "InvisibleCarrierAfterAsciiLetterRule", "InvisibleCarrierAfterWordFinalAsciiLetterRule", + "PRODUCT_CARRIER_INVARIANT_ALGORITHM_VERSION", "PRODUCT_CONTRACT_ID", "PRODUCT_CONTRACT_PATH", "PRODUCT_DOMAIN_ID", @@ -52,5 +59,8 @@ "project_visible_v1", "rule_preserves_visible_projection", "space_carrier_rule", + "validate_product_carrier_invariants", "validate_user_visible_invariants", + "WORD_SIGNATURE_SOURCE_RAW", + "WORD_SIGNATURE_SOURCE_VISIBLE", ] diff --git a/fuckmark/product/carrier_invariants.py b/fuckmark/product/carrier_invariants.py new file mode 100644 index 00000000..872f2ad9 --- /dev/null +++ b/fuckmark/product/carrier_invariants.py @@ -0,0 +1,70 @@ +from __future__ import annotations + +from collections.abc import Iterable, Sequence + +from ..hashing import sha256_json, sha256_text +from ..transforms.hard_invariants import HARD_INVARIANT_ALGORITHM_VERSION, HardInvariantReport, hard_invariant_signature +from ..transforms.invariants import validate_protected_invariants +from ..transforms.protected_artifacts import UserProtectedRange +from ..transforms.schema import HardInvariantReason, InvariantStatus +from .visible_projection import normalize_approved_carriers, project_visible_v1 + + +PRODUCT_CARRIER_INVARIANT_ALGORITHM_VERSION = "product-carrier-invariant-v1" +WORD_SIGNATURE_SOURCE_RAW = "raw" +WORD_SIGNATURE_SOURCE_VISIBLE = "visible" +WORD_SIGNATURE_SOURCES = frozenset({WORD_SIGNATURE_SOURCE_RAW, WORD_SIGNATURE_SOURCE_VISIBLE}) + + +def validate_product_carrier_invariants( + original: str, + transformed: str, + identifiers: Sequence[str] = (), + user_ranges: Sequence[UserProtectedRange] = (), + *, + include_quotations: bool = True, + approved_carriers: Iterable[int] = (), +) -> HardInvariantReport: + if not isinstance(original, str) or not isinstance(transformed, str): + raise TypeError("original and transformed must be strings") + approved = normalize_approved_carriers(approved_carriers) + protected_report = validate_protected_invariants( + original, + transformed, + identifiers, + user_ranges, + include_quotations=include_quotations, + ) + original_signature = hard_invariant_signature(project_visible_v1(original, approved)) + transformed_signature = hard_invariant_signature(project_visible_v1(transformed, approved)) + reasons = [] + if protected_report.status is InvariantStatus.FAIL: + reasons.append(HardInvariantReason.PROTECTED_CONTENT_CHANGED) + if original_signature.negations != transformed_signature.negations: + reasons.append(HardInvariantReason.NEGATION_CHANGED) + if original_signature.modalities != transformed_signature.modalities: + reasons.append(HardInvariantReason.MODALITY_CHANGED) + normalized_reasons = tuple(sorted(reasons, key=lambda value: value.value)) + status = InvariantStatus.PASS if not normalized_reasons else InvariantStatus.FAIL + original_hash = sha256_text(original) + transformed_hash = sha256_text(transformed) + payload = { + "algorithm_version": HARD_INVARIANT_ALGORITHM_VERSION, + "status": status.value, + "original_hash": original_hash, + "transformed_hash": transformed_hash, + "protected_report": protected_report, + "original_signature": original_signature, + "transformed_signature": transformed_signature, + "reasons": tuple(value.value for value in normalized_reasons), + } + return HardInvariantReport( + status, + original_hash, + transformed_hash, + protected_report, + original_signature, + transformed_signature, + normalized_reasons, + sha256_json(payload), + ) diff --git a/fuckmark/product/registry.py b/fuckmark/product/registry.py index a79a6beb..4eb6e927 100644 --- a/fuckmark/product/registry.py +++ b/fuckmark/product/registry.py @@ -2,10 +2,11 @@ from collections.abc import Sequence +from .._validation import require_int from ..hashing import sha256_json from ..transforms.candidate_artifacts import CandidateEnumeration, _build_conflicts from ..transforms.cycle7_quote_policy import QUOTE_INTERIOR_POLICY_IDS -from ..transforms.hard_invariants import validate_hard_invariants +from ..transforms.hard_invariants import HardInvariantReport, validate_hard_invariants from ..transforms.quote_policy import BLANKET_QUOTE_PROTECTION_POLICY_ID from ..transforms.registry import ( TRANSFORM_REGISTRY_ALGORITHM_VERSION, @@ -13,6 +14,12 @@ _make_rejection, ) from ..transforms.schema import CandidateRejectionReason, InvariantStatus +from .carrier_invariants import ( + WORD_SIGNATURE_SOURCE_RAW, + WORD_SIGNATURE_SOURCES, + WORD_SIGNATURE_SOURCE_VISIBLE, + validate_product_carrier_invariants, +) from .carriers import rule_preserves_visible_projection from .contract import PRODUCT_CONTRACT_ID from .domain import is_supported_product_domain_v1 @@ -24,7 +31,7 @@ class ProductTransformRegistry(TransformRegistry): - __slots__ = ("_approved_carriers",) + __slots__ = ("_approved_carriers", "_word_signature_source", "_max_selected") def __init__( self, @@ -33,8 +40,18 @@ def __init__( *, approved_carriers: Sequence[int] = (), quote_policy_id: str = BLANKET_QUOTE_PROTECTION_POLICY_ID, + word_signature_source: str = WORD_SIGNATURE_SOURCE_RAW, + max_selected: int | None = None, ) -> None: + if word_signature_source not in WORD_SIGNATURE_SOURCES: + raise ValueError("unsupported word signature source") + if max_selected is not None: + require_int("max_selected", max_selected) + if max_selected <= 0: + raise ValueError("max_selected must be positive") self._approved_carriers = tuple(sorted(normalize_approved_carriers(approved_carriers))) + self._word_signature_source = word_signature_source + self._max_selected = max_selected super().__init__( rules, identifiers, @@ -49,12 +66,50 @@ def __init__( "quote_policy_id": quote_policy_id, "rules": self.rules, } + if word_signature_source != WORD_SIGNATURE_SOURCE_RAW: + payload["word_signature_source"] = word_signature_source + if max_selected is not None: + payload["max_selected"] = max_selected self._ruleset_hash = sha256_json(payload) @property def approved_carriers(self) -> tuple[int, ...]: return self._approved_carriers + @property + def word_signature_source(self) -> str: + return self._word_signature_source + + @property + def max_selected(self) -> int | None: + return self._max_selected + + def _trial_invariants( + self, + original: str, + trial: str, + identifiers: Sequence[str], + user_ranges, + *, + include_quotations: bool, + ) -> HardInvariantReport: + if self._word_signature_source == WORD_SIGNATURE_SOURCE_VISIBLE: + return validate_product_carrier_invariants( + original, + trial, + identifiers, + user_ranges, + include_quotations=include_quotations, + approved_carriers=self._approved_carriers, + ) + return validate_hard_invariants( + original, + trial, + identifiers, + user_ranges, + include_quotations=include_quotations, + ) + def enumerate(self, text: str, user_ranges=()) -> CandidateEnumeration: original = super().enumerate(text, user_ranges) approved = frozenset(self._approved_carriers) @@ -99,7 +154,7 @@ def enumerate(self, text: str, user_ranges=()) -> CandidateEnumeration: ) ) continue - invariant_report = validate_hard_invariants( + invariant_report = self._trial_invariants( text, trial, self.identifiers, @@ -149,7 +204,12 @@ def enumerate(self, text: str, user_ranges=()) -> CandidateEnumeration: ) def apply(self, enumeration: CandidateEnumeration, candidate_ids: Sequence[str], seed: int = 0): - result = super().apply(enumeration, candidate_ids, seed=seed) + result = super().apply( + enumeration, + candidate_ids, + seed=seed, + invariant_validate=self._trial_invariants, + ) report = validate_user_visible_invariants( enumeration.input_text, result.output_text, diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py index 46993c58..b501e9ef 100644 --- a/fuckmark/seeds/__init__.py +++ b/fuckmark/seeds/__init__.py @@ -1,5 +1,8 @@ from .ledger import ( CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, + CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -8,6 +11,8 @@ CYCLE8_SCALE_VALIDATION_TOPIC, GLOBAL_SEED_LEDGER_VERSION, PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, + assert_new_cycle8_density_generation_seed, + assert_new_cycle8_letter_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -18,6 +23,9 @@ __all__ = [ "CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES", + "CYCLE8_DENSITY_EXPLORATORY_SEED_BASE", + "CYCLE8_LETTER_EXPLORATORY_SEED_BASE", + "CYCLE8_LETTER_EXPLORATORY_TOPIC", "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", "CYCLE8_SCALE_EXPLORATORY_TOPIC", "CYCLE8_SCALE_REPLICATION_SEED_BASE", @@ -26,6 +34,8 @@ "CYCLE8_SCALE_VALIDATION_TOPIC", "GLOBAL_SEED_LEDGER_VERSION", "PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES", + "assert_new_cycle8_density_generation_seed", + "assert_new_cycle8_letter_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 58851bcc..9d3d1271 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -15,10 +15,12 @@ CYCLE8_SCALE_REPLICATION_SEED_BASE = 940_000 CYCLE8_SCALE_VALIDATION_SEED_BASE = 950_000 CYCLE8_DENSITY_EXPLORATORY_SEED_BASE = 960_000 +CYCLE8_LETTER_EXPLORATORY_SEED_BASE = 970_000 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling" CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" CYCLE8_DENSITY_EXPLORATORY_TOPIC = "carrier density follow-up" +CYCLE8_LETTER_EXPLORATORY_TOPIC = "intra-word carrier follow-up" def _row( @@ -83,10 +85,11 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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(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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 930000 1/64. Not confirmation."), + _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."), - _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_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. 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. Do not rewrite 1/16 as zero. Do not inspect residual text to write lexical rules. Not confirmation."), + _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_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. 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."), + _row(970000, "cycle8", "letter_exploratory_development", CYCLE8_LETTER_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 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."), _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."), @@ -107,8 +110,9 @@ def global_seed_ledger_payload() -> dict[str, object]: "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. Do not inspect 830000, 840000, or " - "850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. " - "Seed 960000 is reserved for detector-blind density follow-up." + "850000. Do not generate 950000 until a stronger mechanism is frozen. " + "Seed 960000 is reserved for detector-blind density follow-up. " + "Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up." ), "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), @@ -120,6 +124,8 @@ def global_seed_ledger_payload() -> dict[str, object]: "cycle8_scale_validation_topic": CYCLE8_SCALE_VALIDATION_TOPIC, "cycle8_density_exploratory_seed_base": CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, "cycle8_density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, + "cycle8_letter_exploratory_seed_base": CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + "cycle8_letter_exploratory_topic": CYCLE8_LETTER_EXPLORATORY_TOPIC, "rows": list(rows), } @@ -170,6 +176,20 @@ def assert_new_cycle8_density_generation_seed(seed_base: int) -> None: raise ValueError("unseen validation seeds must not be used for development generation") +def assert_new_cycle8_letter_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_LETTER_EXPLORATORY_SEED_BASE: + raise ValueError("seed_base is not a Cycle 8 letter 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/fuckmark/transforms/cycle7_quote_policy.py b/fuckmark/transforms/cycle7_quote_policy.py index 7534df24..1c8d4396 100644 --- a/fuckmark/transforms/cycle7_quote_policy.py +++ b/fuckmark/transforms/cycle7_quote_policy.py @@ -26,14 +26,20 @@ CYCLE7_QUOTE_SAFE_DURABLE_POLICY_ID = "quote-container-durable-v1" CYCLE7_QUOTE_SAFE_MIXED_POLICY_ID = "quote-container-durable-or-spacing-v1" +PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID = "quote-visible-carrier-v1" QUOTE_INTERIOR_POLICY_IDS = frozenset( { QUOTE_SAFE_SURFACE_POLICY_ID, CYCLE7_QUOTE_SAFE_DURABLE_POLICY_ID, CYCLE7_QUOTE_SAFE_MIXED_POLICY_ID, + PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, } ) +_PRODUCT_VISIBLE_CARRIER_RULE_PREFIXES = ( + "product-carrier-letter-", + "product-carrier-word-final-letter-", +) _DURABLE_RULE_PREFIXES = ( "contract-", @@ -74,6 +80,13 @@ def is_cycle7_quote_durable_rule_id(rule_id: str) -> bool: return rule_id.startswith(_DURABLE_RULE_PREFIXES) +def is_product_visible_carrier_rule(rule: object) -> bool: + rule_id = getattr(rule, "rule_id", "") + if not isinstance(rule_id, str) or not rule_id: + return False + return rule_id.startswith(_PRODUCT_VISIBLE_CARRIER_RULE_PREFIXES) + + def quote_interior_rule_allowed(quote_policy_id: str, rule: object) -> bool: if quote_policy_id == QUOTE_SAFE_SURFACE_POLICY_ID: return is_quote_safe_surface_rule(rule) @@ -81,6 +94,8 @@ def quote_interior_rule_allowed(quote_policy_id: str, rule: object) -> bool: return is_cycle7_quote_durable_rule(rule) if quote_policy_id == CYCLE7_QUOTE_SAFE_MIXED_POLICY_ID: return is_quote_safe_surface_rule(rule) or is_cycle7_quote_durable_rule(rule) + if quote_policy_id == PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID: + return is_product_visible_carrier_rule(rule) return False diff --git a/fuckmark/transforms/registry.py b/fuckmark/transforms/registry.py index 3c6f43d2..b5a155eb 100644 --- a/fuckmark/transforms/registry.py +++ b/fuckmark/transforms/registry.py @@ -1,13 +1,13 @@ from __future__ import annotations from bisect import bisect_right -from collections.abc import Sequence +from collections.abc import Callable, Sequence from .._validation import require_int, require_sha256 from ..hashing import sha256_json, sha256_text from .candidate_artifacts import CandidateEnumeration, CandidateRejection, TransformCandidate, _build_conflicts from .format_rules import FormatBoundaryRule -from .hard_invariants import validate_hard_invariants +from .hard_invariants import HardInvariantReport, validate_hard_invariants from .lexical_audit import LexicalRuleAudit, LexicalRulePromotionError from .lexical_rules import LexicalTemplateRule, development_lexical_rules from .protected import ProtectedSpanExtractor @@ -183,7 +183,14 @@ def enumerate(self, text: str, user_ranges: Sequence[UserProtectedRange] = ()) - payload = {"algorithm_version": TRANSFORM_REGISTRY_ALGORITHM_VERSION, "input_hash": input_hash, "ruleset_hash": self._ruleset_hash, "protected_manifest_hash": protected.manifest_hash, "candidates": ordered_candidates, "rejections": ordered_rejections, "conflicts": conflicts} return CandidateEnumeration(TRANSFORM_REGISTRY_ALGORITHM_VERSION, text, input_hash, self._ruleset_hash, protected, ordered_candidates, ordered_rejections, conflicts, sha256_json(payload)) - def apply(self, enumeration: CandidateEnumeration, candidate_ids: Sequence[str], seed: int = 0) -> TransformResult: + def apply( + self, + enumeration: CandidateEnumeration, + candidate_ids: Sequence[str], + seed: int = 0, + *, + invariant_validate: Callable[..., HardInvariantReport] | None = None, + ) -> TransformResult: if not isinstance(enumeration, CandidateEnumeration): raise TypeError("enumeration must be a CandidateEnumeration") if enumeration.ruleset_hash != self._ruleset_hash: @@ -240,7 +247,8 @@ def apply(self, enumeration: CandidateEnumeration, candidate_ids: Sequence[str], if selected and output_hash == input_hash: raise ValueError("non-empty candidate selection produced no net text change") quote_interior = self._quote_policy_id in QUOTE_INTERIOR_POLICY_IDS - invariant_report = validate_hard_invariants( + validator = validate_hard_invariants if invariant_validate is None else invariant_validate + invariant_report = validator( enumeration.input_text, output_text, self.identifiers, diff --git a/fuckmark/transforms/trace.py b/fuckmark/transforms/trace.py index 1024d241..c392a598 100644 --- a/fuckmark/transforms/trace.py +++ b/fuckmark/transforms/trace.py @@ -10,6 +10,7 @@ from .cycle7_quote_policy import ( CYCLE7_QUOTE_SAFE_DURABLE_POLICY_ID, CYCLE7_QUOTE_SAFE_MIXED_POLICY_ID, + PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, validate_cycle7_quote_operations, ) from .quote_policy import QUOTE_SAFE_SURFACE_POLICY_ID, validate_quote_safe_surface_operations @@ -189,16 +190,30 @@ def __post_init__(self) -> None: raise ValueError("operation source span extends beyond reconstructed input") if reconstructed_input[operation.source_start:operation.source_end] != operation.before_text: raise ValueError("operation source geometry does not match reconstructed input") - if hard_invariant_signature(reconstructed_input) != self.trace.invariant_report.original_signature: - raise ValueError("trace original hard-invariant signature does not match reconstructed input") - if hard_invariant_signature(self.output_text) != self.trace.invariant_report.transformed_signature: - raise ValueError("trace transformed hard-invariant signature does not match output_text") quote_spacing = self.trace.selection_policy_id.endswith( f":{QUOTE_SAFE_SURFACE_POLICY_ID}" ) quote_cycle7 = self.trace.selection_policy_id.endswith( (f":{CYCLE7_QUOTE_SAFE_DURABLE_POLICY_ID}", f":{CYCLE7_QUOTE_SAFE_MIXED_POLICY_ID}") ) + quote_product_visible = self.trace.selection_policy_id.endswith( + f":{PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID}" + ) + original_for_signature = reconstructed_input + transformed_for_signature = self.output_text + if quote_product_visible: + from ..product.visible_projection import project_visible_v1 + + approved = [] + for operation in self.trace.operations: + if operation.after_text.startswith(operation.before_text): + approved.extend(ord(character) for character in operation.after_text[len(operation.before_text) :]) + original_for_signature = project_visible_v1(reconstructed_input, approved) + transformed_for_signature = project_visible_v1(self.output_text, approved) + if hard_invariant_signature(original_for_signature) != self.trace.invariant_report.original_signature: + raise ValueError("trace original hard-invariant signature does not match reconstructed input") + if hard_invariant_signature(transformed_for_signature) != self.trace.invariant_report.transformed_signature: + raise ValueError("trace transformed hard-invariant signature does not match output_text") if quote_spacing: validate_quote_safe_surface_operations(reconstructed_input, self.trace.operations) elif quote_cycle7: @@ -211,7 +226,7 @@ def __post_init__(self) -> None: if validate_protected_invariants( reconstructed_input, self.output_text, - include_quotations=not (quote_spacing or quote_cycle7), + include_quotations=not (quote_spacing or quote_cycle7 or quote_product_visible), ).status is not InvariantStatus.PASS: raise ValueError("transform result violates default protected-content invariants") require_sha256("result_hash", self.result_hash) diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index 213511f9..f186b572 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":"e68c6dbedc7900c853b3a4a64362533c43bb08d6a5a5bdf52bbaafa6727be41d","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. Do not inspect 830000, 840000, or 850000. 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. 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,"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":"069425ce523c913a470648f19a9aa1dfc655e3a472edeef35b2ad9dbba86a2b2","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","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. Do not inspect 830000, 840000, or 850000. 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. 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 3d679393..3dc3b497 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_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":"ea820cd83c358333734d8f57b033b7592868222e54bd0f62fa6820b89a3b727b","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 x1 scale exploratory: 0/16, 0/32, then 1/64 raw transformed WM. Do not rewrite 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 x1 n=64 replication: 0/64 raw transformed WM. Max score 0.557052 vs threshold 0.557099. Does not erase 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. Do not rewrite 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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until the U+034F x1 mechanism is frozen. Seed 960000 is reserved for detector-blind density follow-up."} +{"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_exploratory_seed_base":970000,"cycle8_letter_exploratory_topic":"intra-word carrier follow-up","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":"e5b96a2f276506ba3e694a3143f9fc27404c99b664481c55c527c69705ef0359","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. 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Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up."} diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index ddf6a9b8..dd0620bc 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -56,12 +56,15 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["validation_development_seed_base"] == CYCLE8_VALIDATION_SEED_BASE == 910_000 assert payload["scale_exploratory_seed_base"] == CYCLE8_SCALE_EXPLORATORY_SEED_BASE == 930_000 assert payload["density_exploratory_seed_base"] == 960_000 + assert payload["letter_exploratory_seed_base"] == 970_000 + assert payload["letter_exploratory_topic"] == "intra-word carrier follow-up" 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() assert_cycle8_development_seed(890_000, role="exploratory_development") assert_cycle8_development_seed(930_000, role="scale_exploratory_development") assert_cycle8_development_seed(960_000, role="density_exploratory_development") + assert_cycle8_development_seed(970_000, role="letter_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_letter.py b/tests/test_cycle8_letter.py new file mode 100644 index 00000000..2303476a --- /dev/null +++ b/tests/test_cycle8_letter.py @@ -0,0 +1,121 @@ +from fuckmark.cli import process_text +from fuckmark.cycle8.compare import ( + CYCLE8_LETTER_ARM_IDS, + CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, + measure_carrier_arm, +) +from fuckmark.cycle8.ledger import CYCLE8_LETTER_EXPLORATORY_ROLE, assert_cycle8_development_seed +from fuckmark.cycle8.registry import ( + LETTER_CARRIER_MAX_SELECTED, + apply_all_candidates, + cycle8_letter_carrier_registry, + cycle8_space_carrier_registry, +) +from fuckmark.seeds.ledger import CYCLE8_LETTER_EXPLORATORY_SEED_BASE, assert_new_cycle8_letter_generation_seed +from fuckmark.product.carrier_invariants import validate_product_carrier_invariants +from fuckmark.product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from fuckmark.transforms.cycle7_quote_policy import PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID +from fuckmark.transforms.hard_invariants import HARD_INVARIANT_ALGORITHM_VERSION, validate_hard_invariants +from fuckmark.transforms.registry import release_transform_registry +from fuckmark.transforms.schema import CandidateRejectionReason, InvariantStatus + + +def test_letter_carrier_preserves_visible_words_including_cannot_and_dont() -> None: + registry = cycle8_letter_carrier_registry(0x034F) + assert registry.quote_policy_id == PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID + assert registry.word_signature_source == "visible" + assert registry.max_selected == LETTER_CARRIER_MAX_SELECTED == 192 + source = "We never wait and I don't agree." + applied = apply_all_candidates(registry, source) + assert applied != source + assert "\u034f" in applied + assert is_carrier_insertion_v1(source, applied, (0x034F,)) + assert project_visible_v1(applied, (0x034F,)) == source + assert validate_product_carrier_invariants(source, applied, approved_carriers=(0x034F,)).status is InvariantStatus.PASS + assert validate_hard_invariants(source, applied).status is InvariantStatus.FAIL + assert HARD_INVARIANT_ALGORITHM_VERSION == "hard-invariant-validator-v4" + assert "never" in applied.replace("\u034f", "") + assert "don't" in applied.replace("\u034f", "") + assert "d\u034fo" in applied + assert "n\u034f'" in applied + assert applied.count("\u034f") >= 12 + assert process_text(source) == source + assert release_transform_registry().rules == () + + +def test_letter_carrier_inserts_inside_quotes_and_blocks_urls_and_paths() -> None: + registry = cycle8_letter_carrier_registry(0x034F) + quoted = 'He said "hello world" and left.' + applied = apply_all_candidates(registry, quoted) + assert is_carrier_insertion_v1(quoted, applied, (0x034F,)) + assert project_visible_v1(applied, (0x034F,)) == quoted + interior = applied[applied.index('"') + 1 : applied.rindex('"')] + assert "\u034f" in interior + machine = "See https://example.com/do-not-touch and /tmp/foo.txt in the notes." + enumeration = registry.enumerate(machine) + url = "https://example.com/do-not-touch" + path = "/tmp/foo.txt" + url_start = machine.index(url) + url_end = url_start + len(url) + path_start = machine.index(path) + path_end = path_start + len(path) + for candidate in enumeration.candidates: + assert candidate.end <= url_start or candidate.start >= url_end + assert candidate.end <= path_start or candidate.start >= path_end + applied_machine = apply_all_candidates(registry, machine) + assert "https://example.com/do-not-touch" in applied_machine.replace("\u034f", "") + assert "/tmp/foo.txt" in applied_machine.replace("\u034f", "") + assert is_carrier_insertion_v1(machine, applied_machine, (0x034F,)) + assert any( + rejection.reason is CandidateRejectionReason.PROTECTED_OVERLAP for rejection in enumeration.rejections + ) + + +def test_letter_arm_is_denser_than_space_and_space_x1_still_blocks_quotes() -> None: + source = 'Keep "do not change this" but I do not agree.' + space = measure_carrier_arm( + arm_id=CYCLE8_U034F_SPACE_ARM_ID, + source_sample_id="letter-space-control", + source_text=source, + ) + letter = measure_carrier_arm( + arm_id=CYCLE8_U034F_LETTER_ARM_ID, + source_sample_id="letter-x1", + source_text=source, + ) + assert space["visible_ok"] is True + assert letter["visible_ok"] is True + assert int(letter["inserted_count"]) > int(space["inserted_count"]) + assert space["fail_closed_identity"] is False + assert letter["fail_closed_identity"] is False + quoted_space = str(space["transformed_text"]) + quoted_letter = str(letter["transformed_text"]) + space_interior = quoted_space[quoted_space.index('"') + 1 : quoted_space.rindex('"')] + 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 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 + + +def test_letter_carrier_respects_max_selected_cap() -> None: + source = "abcdefghijklmnopqrstuvwxyz" * 12 + uncapped = cycle8_letter_carrier_registry(0x034F, max_selected=None) + capped = cycle8_letter_carrier_registry(0x034F, max_selected=16) + uncapped_text = apply_all_candidates(uncapped, source) + capped_text = apply_all_candidates(capped, source) + assert uncapped_text.count("\u034f") > 16 + assert capped_text.count("\u034f") == 16 + assert is_carrier_insertion_v1(source, capped_text, (0x034F,)) + assert project_visible_v1(capped_text, (0x034F,)) == source + + +def test_letter_seed_is_reserved_and_release_registry_stays_empty() -> None: + assert CYCLE8_LETTER_ARM_IDS == ("identity", CYCLE8_U034F_LETTER_ARM_ID) + assert_new_cycle8_letter_generation_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE) + assert_cycle8_development_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE, role=CYCLE8_LETTER_EXPLORATORY_ROLE) + assert process_text("I do not agree.") == "I do not agree." + assert release_transform_registry().rules == () diff --git a/tests/test_cycle8_letter_evidence.py b/tests/test_cycle8_letter_evidence.py new file mode 100644 index 00000000..ef93cbe2 --- /dev/null +++ b/tests/test_cycle8_letter_evidence.py @@ -0,0 +1,137 @@ +import json +from pathlib import Path + +from fuckmark.cycle8.compare import ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_LETTER_ARM_IDS, + CYCLE8_U034F_LETTER_ARM_ID, +) +from fuckmark.cycle8.decision import PROMISING_DEVELOPMENT, classify_scale_detector_compare +from fuckmark.cycle8_letter_hf import CYCLE8_LETTER_DETECTOR_VERSION +from fuckmark.hashing import sha256_json +from fuckmark.seeds.ledger import CYCLE8_LETTER_EXPLORATORY_TOPIC +from fuckmark.transforms.registry import release_transform_registry + + +def _load(relative: str) -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) + + +def _assert_letter_zero(artifact: dict[str, object], *, seed_base: int, pair_count: int, visible_total: int) -> None: + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["seed_base"] == seed_base + assert artifact["pair_count"] == pair_count + assert artifact["algorithm_version"] == CYCLE8_LETTER_DETECTOR_VERSION + assert artifact["detector_access_used_for_selection"] is False + assert artifact["secret_access_used_for_selection"] is False + assert tuple(artifact["arm_ids"]) == CYCLE8_LETTER_ARM_IDS + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + assert identity["raw_watermarked_detected"] >= pair_count - 2 + assert letter["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert letter["cf_strip_watermarked_detected"] == 0 + assert letter["nfkc_watermarked_detected"] == 0 + assert letter["ws_collapse_watermarked_detected"] == 0 + assert letter["nfc_watermarked_detected"] == 0 + assert letter["visible_pass_count"] == visible_total + assert letter["visible_total_count"] == visible_total + assert letter["fail_closed_identity_count"] == 0 + assert float(letter["raw_watermarked_max_score"]) < 0.5570987654320988 + assert release_transform_registry().rules == () + + +def test_letter_diagnostic_960000_clears_space_residual_without_unseen_claim() -> None: + artifact = _load("evidence/cycle8-letter-960000-2026-08-26/detector-compare.json") + assert artifact["artifact_hash"] == "357293589806c8df978d7d96770c3bb372b541c869b83b4be4941ed8287ecd62" + assert artifact["topic"] == "carrier density follow-up" + _assert_letter_zero(artifact, seed_base=960000, pair_count=16, visible_total=32) + decision = _load("evidence/cycle8-letter-960000-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["transformed_arm_id"] == CYCLE8_U034F_LETTER_ARM_ID + frozen_space = _load("evidence/cycle8-density-960000-2026-08-26/detector-compare.json") + assert frozen_space["summaries"]["u034f-space-x1"]["raw_watermarked_detected"] == 1 + + +def test_letter_diagnostic_930000_n64_is_zero_raw_on_seen_residual_corpus() -> None: + artifact = _load("evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json") + assert artifact["artifact_hash"] == "bc440e8a8ffce27b4b759e0ebe46ba8bfc2b88fce896c8100add69ce56a5c89b" + _assert_letter_zero(artifact, seed_base=930000, pair_count=64, visible_total=128) + frozen_space = _load("evidence/cycle8-scale-930000-n64-2026-08-26/detector-compare.json") + assert frozen_space["summaries"]["u034f-space-x1"]["raw_watermarked_detected"] == 1 + decision = classify_scale_detector_compare(artifact, transformed_arm_id=CYCLE8_U034F_LETTER_ARM_ID) + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["product_gate"] == "VISIBLE_INVARIANT_PASS" + + +def test_letter_diagnostic_940000_n64_is_zero_raw_on_seen_replication_corpus() -> None: + artifact = _load("evidence/cycle8-letter-940000-n64-2026-08-26/detector-compare.json") + assert artifact["artifact_hash"] == "e61ae665b82936b64a6996463c5c90baf3cd0c921e49886d4896346edcc3d9f9" + _assert_letter_zero(artifact, seed_base=940000, pair_count=64, visible_total=128) + frozen_space = _load("evidence/cycle8-scale-940000-n64-2026-08-26/detector-compare.json") + assert frozen_space["summaries"]["u034f-space-x1"]["raw_watermarked_detected"] == 0 + + +def test_letter_independent_970000_n16_is_zero_raw() -> None: + artifact = _load("evidence/cycle8-letter-970000-2026-08-26/detector-compare.json") + assert artifact["artifact_hash"] == "d646f3ee28eb1453afdb3015deffbf2981c18d5d0d9172a2f7fa5410e3d435b5" + assert artifact["topic"] == CYCLE8_LETTER_EXPLORATORY_TOPIC + _assert_letter_zero(artifact, seed_base=970000, pair_count=16, visible_total=32) + decision = _load("evidence/cycle8-letter-970000-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["visible_pass_rate"] == "32/32" + assert release_transform_registry().rules == () + + +def test_letter_independent_970000_n64_is_zero_raw() -> None: + artifact = _load("evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json") + assert artifact["artifact_hash"] == "6e3c67efc4ece996d8dd8389b26614746ed6488b5f0f466c7a8157ef5af38c1b" + assert artifact["topic"] == CYCLE8_LETTER_EXPLORATORY_TOPIC + _assert_letter_zero(artifact, seed_base=970000, pair_count=64, visible_total=128) + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + assert identity["raw_watermarked_detected"] == 64 + assert identity["raw_unwatermarked_detected"] == 1 + decision = _load("evidence/cycle8-letter-970000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["visible_pass_rate"] == "128/128" + prefix = _load("evidence/cycle8-letter-970000-2026-08-26/detector-compare.json") + prefix_hashes = [ + row["arms"][CYCLE8_IDENTITY_ARM_ID]["source_text_hash"] + for row in prefix["geometry_rows"] + ] + expanded_hashes = [ + row["arms"][CYCLE8_IDENTITY_ARM_ID]["source_text_hash"] + for row in artifact["geometry_rows"] + ] + assert prefix_hashes == expanded_hashes[: len(prefix_hashes)] + assert release_transform_registry().rules == () + + +def test_letter_experimental_zero_of_192_is_128_seen_plus_64_independent() -> None: + tally = _load("evidence/cycle8-letter-experimental-0-of-192-2026-08-26/tally.json") + body = {key: value for key, value in tally.items() if key != "artifact_hash"} + assert tally["artifact_hash"] == sha256_json(body) + assert tally["artifact_hash"] == "19b53b1c8e6e41fe23a12b0f7dd7f556e40facc7c4d7bf95ff9bcec3ab3c0f88" + assert tally["pair_count_total"] == 192 + assert tally["seen_pair_count"] == 128 + assert tally["independent_pair_count"] == 64 + assert tally["letter_raw_watermarked_detected_total"] == 0 + assert tally["letter_raw_unwatermarked_detected_total"] == 0 + assert tally["confirmation"] is False + assert tally["freeze"] is False + assert tally["product_authorized"] is False + seen_930 = _load("evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json") + seen_940 = _load("evidence/cycle8-letter-940000-n64-2026-08-26/detector-compare.json") + independent = _load("evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json") + assert seen_930["artifact_hash"] == "bc440e8a8ffce27b4b759e0ebe46ba8bfc2b88fce896c8100add69ce56a5c89b" + assert seen_940["artifact_hash"] == "e61ae665b82936b64a6996463c5c90baf3cd0c921e49886d4896346edcc3d9f9" + assert independent["artifact_hash"] == "6e3c67efc4ece996d8dd8389b26614746ed6488b5f0f466c7a8157ef5af38c1b" + corpora = tally["corpora"] + assert corpora[0]["kind"] == "seen_diagnostic" and corpora[0]["artifact_hash"] == seen_930["artifact_hash"] + assert corpora[1]["kind"] == "seen_diagnostic" and corpora[1]["artifact_hash"] == seen_940["artifact_hash"] + assert corpora[2]["kind"] == "independent" and corpora[2]["artifact_hash"] == independent["artifact_hash"] + assert release_transform_registry().rules == () diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 877279df..37b2ec15 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -7,6 +7,8 @@ from fuckmark.seeds.ledger import ( CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, + CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -14,6 +16,7 @@ GLOBAL_SEED_LEDGER_VERSION, PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, assert_new_cycle8_density_generation_seed, + assert_new_cycle8_letter_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -68,7 +71,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert_new_cycle8_scale_generation_seed(920000) bases = known_seed_bases() assert len(bases) == len(set(bases)) - assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases + assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases and 970000 in bases density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) assert density["generated"] is True assert density["scored"] is True @@ -82,3 +85,14 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert_new_cycle8_density_generation_seed(880000) with pytest.raises(ValueError, match="confirmation"): assert_new_cycle8_density_generation_seed(830000) + letter = row_for_seed_base(CYCLE8_LETTER_EXPLORATORY_SEED_BASE) + assert letter["generation_topic"] == CYCLE8_LETTER_EXPLORATORY_TOPIC == "intra-word carrier follow-up" + assert letter["generated"] is True + assert letter["scored"] is True + assert_new_cycle8_letter_generation_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="letter"): + assert_new_cycle8_letter_generation_seed(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_letter_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_letter_generation_seed(830000) From 7727fdf28edb52b6b11274b547df4e44a70f07e9 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 16:15:18 +0000 Subject: [PATCH 08/13] Record Cycle 8 letter-x1 system benchmark (fresh 0/128, space 1/128). Reserved seeds 980000 and 990000 before generation. Letter-x1 remains development-only. This is measurement, not confirmation. Co-authored-by: Byte271 --- CHANGELOG.md | 3 +- README.md | 6 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 6 +- docs/cycle8/letter-system-benchmark.md | 24 + docs/cycle8/seed-ledger.md | 4 +- docs/seeds.md | 3 + .../README.md | 19 + .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 23 + .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 119 +++ .../SHA256SUMS.txt | 7 + .../detector-stats.json | 1 + .../environment.json | 1 + .../local-system.json | 1 + .../methodology.md | 82 ++ .../scorecard.json | 1 + .../scorecard.md | 122 +++ fuckmark/cycle8/benchmark.py | 813 ++++++++++++++++++ fuckmark/cycle8/benchmark_render.py | 174 ++++ fuckmark/cycle8/compare.py | 5 + fuckmark/cycle8/ledger.py | 25 +- fuckmark/cycle8_benchmark.py | 559 ++++++++++++ fuckmark/cycle8_benchmark_hf.py | 67 ++ fuckmark/cycle8_hf.py | 10 +- fuckmark/seeds/__init__.py | 10 + fuckmark/seeds/ledger.py | 27 +- .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_benchmark.py | 43 + tests/test_cycle8_benchmark_evidence.py | 101 +++ tests/test_cycle8_carriers.py | 5 + tests/test_global_seed_ledger.py | 19 + 38 files changed, 2285 insertions(+), 11 deletions(-) create mode 100644 docs/cycle8/letter-system-benchmark.md create mode 100644 evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/README.md create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/detector-stats.json create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/environment.json create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/local-system.json create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/methodology.md create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.json create mode 100644 evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.md create mode 100644 fuckmark/cycle8/benchmark.py create mode 100644 fuckmark/cycle8/benchmark_render.py create mode 100644 fuckmark/cycle8_benchmark.py create mode 100644 fuckmark/cycle8_benchmark_hf.py create mode 100644 tests/test_cycle8_benchmark.py create mode 100644 tests/test_cycle8_benchmark_evidence.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 3e54882f..13bd4cd0 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -16,7 +16,8 @@ - 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. Letter-x1 is not product-authorized and is not confirmation. Do not generate `950000`. +- 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`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index a292a3a9..2d913a01 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,9 @@ The public CLI currently fail-closes: no product-authorized invisible carrier ha 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. -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**). Visible projection passed. Unwatermarked controls stayed clean. This is not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/seeds.md`](docs/seeds.md). +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. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY` because the fresh 0/128 margin is thin and the experimental 0/192 is not a preregistered confirmation protocol. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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`. @@ -158,7 +160,7 @@ 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 is an early durable-track *hypothesis* under frozen sanitizers; it is not a release mechanism. +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 is the current strongest visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000`, plus a separate experimental **0/192** (128 seen + 64 independent). It is not a release mechanism and is not formal confirmation. ## Reproduce the research environment diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index eb154642..6383ba18 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. Do not inspect `830000` / `840000` / `850000`. 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`. Do not inspect `830000` / `840000` / `850000`. 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 28102e3c..6a831ed7 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -25,7 +25,11 @@ Not product-authorized. Fixture compare on four ASCII texts is `VERIFIED` for vi 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. Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Public CLI remains empty. Do not generate `950000`. +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. Public CLI remains empty. Do not generate `950000`. Intra-word insertion is no longer treated as tokenizer-diagnostic-only. It is the current strongest visible-invariant U+034F arm. diff --git a/docs/cycle8/letter-system-benchmark.md b/docs/cycle8/letter-system-benchmark.md new file mode 100644 index 00000000..8175c441 --- /dev/null +++ b/docs/cycle8/letter-system-benchmark.md @@ -0,0 +1,24 @@ +# 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/seed-ledger.md b/docs/cycle8/seed-ledger.md index 9583f495..fcfeb0f6 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. +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. See also `docs/seeds.md`. @@ -33,5 +33,7 @@ See also `docs/seeds.md`. | 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 | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index 68f561bc..09809f7f 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -12,6 +12,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. ## Cycle 8 scale reservation (before generation) @@ -22,6 +23,8 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 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 | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/README.md b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/README.md new file mode 100644 index 00000000..052927c6 --- /dev/null +++ b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/README.md @@ -0,0 +1,19 @@ +# Cycle 8 letter-x1 system benchmark detector (seed 980000, 64 pairs) + +Measurement, not confirmation. Seed `980000` and topic `letter carrier system benchmark` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F space-x1 versus U+034F letter-x1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 62/64 | 62/64 | 0/64 | 128/128 | 0 | 0.70130 | +| u034f-space-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 44.93 | 0.55379 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 183.19 | 0.55407 | + +Closest letter-x1 watermarked row: `cycle8-980000-04-general_explanatory-watermarked`, score 0.55407, gap 0.00303 below threshold 0.55710. This 0/64 has a thinner margin than independent exploratory `970000` n=64 (max 0.53039). + +Do not rewrite frozen space-x1 `930000` 1/64 as zero. This corpus is a new seed; space-x1 also happened to be 0/64 here. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..3835f115 --- /dev/null +++ b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +d40ef95fe7d21b7699736a6aee5d3c34d7a4f21a724aa9ecfd47304c16952417 README.md +47c53855d83ef954010fe955ad06c2bb61a20854e3deab8a63ed1231e86b6c9d decision.json +800c5cc4e7b75ddf26d915d655e8cdb6acbddd7bae58be07d131e68e7f5e1181 detector-compare.json diff --git a/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/decision.json b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..3d9a81ee --- /dev/null +++ b/evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"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 letter x1 rows","U+034F letter x1 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-letter-x1","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-letter-benchmark-980000-n64-2026-08-26/detector-compare.json 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Write the test suite to a C program and submit it to the test suite.\n\nThe purpose of this test suite is to test the program's software compatibility with the prior versions of OpenBSD and the OpenCMS.","text_sha256":"b074be63f475625b8e7155e6d4e3f331b0830f66e1e2b9c05f802eac307c4137"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-980000-02-conversational_prose-unwatermarked","seed":980064,"text":"\n\n\nThe goal is to make the system as accurate as possible, but you can also optimize the system for your needs and the needs of your customers.\n\nWhy should I use the service?\n\nThe best tool for speed is to use a service and provide you with a customized way to use it.\n","text_sha256":"b66e4b3ecfe987f7e4ab9db87ecae526f5f2ba350e1e40bb3c99fd91672e518d"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-980000-02-conversational_prose-watermarked","seed":980064,"text":" Use a conversational style that reflects the words you use and are trying to convey. Remember that a written sentence is not a statement. It's the combination of words that make up your words. Use the same style if you need to use an automated system to do a simple calculation.\n\nUse the same style if","text_sha256":"fee2b256f62b02eb5e6cebcb66b556e1805d313f63d6523931fcc3d0f6868a7a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-980000-03-structured_instructional-unwatermarked","seed":980097,"text":"\n\nThe two methods for the first method of testing the system are used in the experiment. The second method is called the \"method of the day\" and uses the same data as the second method. It is based on the same steps as the first method, but the \"method of the day\" uses a different","text_sha256":"ae5cdd9559431d190207cb4050172e42f5df8f7ac568e649f836a061246ea1ad"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-980000-03-structured_instructional-watermarked","seed":980097,"text":" For example, A = 2.0, and B = 2.5, and A = 3.5, and B = 4.0, and C = 5.0, use the following code: // Step 3.1: Add a letter carrier\n\nStep 3.2: Apply letter carrier system benchmark","text_sha256":"dde3bebcf28f734185c5aac628322892241a65d973c78ce6d03904034ae375da"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-980000-04-general_explanatory-unwatermarked","seed":980128,"text":"\n\nIn the case of the test, the first paragraph will be written in English and the second paragraph will be written in English.\n\nFor example, the following is a test example of how a new phone could be produced.\n\ntest.com.android.phone-test.com.android.phone","text_sha256":"c0be3eb9a94b86db0896a393720a7c40736e91797e974850fa7c2d7f9dcae182"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-980000-04-general_explanatory-watermarked","seed":980128,"text":"\n\nIn a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a similar way, in a","text_sha256":"1b8817b21aca76f9fa0d76a97e89281b55097e04ea1fdbabee1da47a566c2414"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-980000-05-technical_explanation-unwatermarked","seed":980160,"text":" The paper provides a sample of a computer program that uses some basic mathematical model to compute the failure status of a system. Then, use this model to simulate the system performance of a given user. After this test, the user will be asked for the number of errors and if a user has more than one error, the","text_sha256":"aa27cbd2d1dda375230d859b6594da97d48a3ac19119558f25f71d86d5b459fd"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-980000-05-technical_explanation-watermarked","seed":980160,"text":" Use the following examples: - In-memory storage: set the memory address to the address of the disk image that contains the letter carrier system. Set the address of the disk image to the address of the letter carrier system. Set the memory address to the address of the letter carrier system when running the benchmark. For example","text_sha256":"7bf8a8a08a0ab1248886f2677dc48b38978372317888b690046e46511706081f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-980000-06-conversational_prose-unwatermarked","seed":980192,"text":"\n\nIf you're not familiar with the term \"benchmark,\" try \"fifty-one percent\" or \"the average of all the letters of each alphabet\" in your review.\n\nThe number of letters in the top two can be calculated using the following formula:\n\nIf the average is 1/","text_sha256":"c5a8a98debda3619c4c167a6364d1034ddd8b1a7422d4e2264abee9e6fad1f90"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-980000-06-conversational_prose-watermarked","seed":980192,"text":" Use a conversational style that has no \"language barriers\" or \"confusion\" like \"What's wrong with me?\" or \"When you look at me and I look at you, you'll know how you feel.\"\n\nWrite down your ideas and ask for help when they become clear.\n\nDon't","text_sha256":"72a61fdd606af14bbb3ea3f53b01213befa2bc8de181cb3b18ebdebbabdd271e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-980000-07-structured_instructional-unwatermarked","seed":980224,"text":"\n\nThis step is meant to prove that a user can use the test tool in a non-technical way by using the test-specific language to write a test. This is done by using a word generator.\n\nA word generator uses a word processor that can generate word processor input and output.\n\nThe","text_sha256":"b467dd2b64cddc19069b3dc3c9366c17107e3dae278a41b834b9db0f0a1484b0"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-980000-07-structured_instructional-watermarked","seed":980224,"text":" You'll learn to quickly apply the test instructions using the keyboard shortcut (ctrl + ctrl+o). You can then copy the test instructions to a clipboard (Ctrl + h) and apply them to your computer.\n\n\nA computer can be used to test the system for many different things, including:\n\nE","text_sha256":"55fa682951007780f68e72b85272802d63bc4b2ca606305ebd79a80069baf252"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-980000-08-general_explanatory-unwatermarked","seed":980256,"text":"\n\nWrite four paragraphs without a single sentence.\n\nDo not write a single paragraph without the word \"I.\"\n\nWrite five paragraphs without a single sentence.\n\nWrite five paragraphs without a single sentence.\n\nDo not write a single paragraph without the word \"I.\"\n\nWrite five paragraphs without","text_sha256":"395c1228362fba9a5b7414cd360abe8d1b8141dbee0ae07dc0853e42b02ffd17"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-980000-08-general_explanatory-watermarked","seed":980256,"text":" Use a list of words in your article.\n\n3. Give yourself time to do your research\n\nIn one form, it's important to take care of yourself. When you take care of yourself, it's important to make you the best you can be. Don't take a hard look at the stats you","text_sha256":"abeed38bed93b622e4f0f9d633e238f053634aef8c2fce67130a9b039d7c1238"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-980000-09-technical_explanation-unwatermarked","seed":980288,"text":"\n\nWhen using a software application to test a flaw, it is important to understand what the problem is, and what it's about. That is, make sure the problem is an issue that has not been addressed. If the problem is not addressed, it will not be fixed.\n\nThe second type of software","text_sha256":"4d6db6dae4fe9cf65227cc1546c2841bbcc8cada866924fc4ccb9ef9994dfd8b"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-980000-09-technical_explanation-watermarked","seed":980288,"text":" This means, that the software should be able to detect the actual errors in software with a minimum of error checking.\n\nExample\n\nThe following example demonstrates how to perform two validation tests. The first tests show an error in the software written by a company with a high error rate. The second tests show that the","text_sha256":"f2cbf84b63d1184aaa988c45ae7565372aa520f04b7d80e137933bda2bbf5acd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-980000-10-conversational_prose-unwatermarked","seed":980320,"text":" Don't ask about anything personal. If you can't explain anything, talk to your colleague.\n\nAsk your colleague why letter carrier system benchmark matters. Use natural conversational prose while keeping the explanation precise. Don't ask about anything personal. If you can't explain anything, talk to your colleague. Learn about your","text_sha256":"a751033b3e15cc243ea24bbf502c58bcfa79c4149edfe39c7fa24c453ac4b7a2"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-980000-10-conversational_prose-watermarked","seed":980320,"text":" Don't waste time on a word by word explanation.\n\nIf you're not sure what your job is, consider writing the job description. The job description is a great way to set up your resume. If the job description doesn't help you, read it first.\n\nYou can also find an online job","text_sha256":"84edc7f6508972b05b672b7c19b9fa2450fadc1511e6cc903839acd002cedbdf"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-980000-11-structured_instructional-unwatermarked","seed":980353,"text":"\n\nThe key to developing and operating a large, complex system for the IBM Power BI (IBB) platform is to be able to do it in a relatively easy way, by getting the code.\n\nAs you can see, the simple idea of implementing the basic architecture and software is simple.\n\nThe","text_sha256":"db8d31cda2cee0187b0132640c1a4262d37d2107084a189f8e12313e951060cb"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-980000-11-structured_instructional-watermarked","seed":980353,"text":" Use a single letter carrier system and follow the instructions to apply the same letter carrier system in the next step. Then repeat the previous steps until you have your program ready to use.\n\nFor more information on the test methods and how to apply letter carrier system benchmark to your code, please check out the Test Method Reference","text_sha256":"d3ed0a7be24b30fe28d86d0e74a985675bd471e67db70fa57c684de5e4c521cd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-980000-12-general_explanatory-unwatermarked","seed":980384,"text":"\n\nI'll use the word \"proof\" to describe how I'm supposed to write this post. The problem with this definition is that the exact definition of proof is not very clear. It starts with a bunch of words like \"proof\" and \"proof-conditions,\" and then ends with \"proof-cond","text_sha256":"a91a9b396ec5faa3a1999715460313e191186beddd7c64115b7429f17cc8ba44"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-980000-12-general_explanatory-watermarked","seed":980384,"text":"\n\n(3) Compare the number of bytes of data in the data storage.\n\n(4) Test the memory for the data.\n\n(5) Write a copy of the stored data, at the same time as the new copy.\n\n(6) Test the storage for the new data.","text_sha256":"822e4f5a37c4ad57db47f2e981af82043a7500b8b896a5c7e727d4a4b2351304"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-980000-13-technical_explanation-unwatermarked","seed":980416,"text":" For this purpose, we will focus on one test.\n\nStep 1: Generate a test case\n\nIn this case we are going to generate a test case that will evaluate an integer of the following values.\n\ninteger = 1\n\ninteger_type = \"integer\"\n\nfloat = 1\n","text_sha256":"bdb1b44b45925c70e5133da5a6c45b4e1849575072b1dbabbe84ea4df6579fe4"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-980000-13-technical_explanation-watermarked","seed":980416,"text":" For this, you must define the test conditions. If the validation check does not work, use the rest of the code to validate the test conditions.\n\nThis test will be done for the entire sample with a single test condition. When you test the first condition, you may have to replace the rest of the code","text_sha256":"80caddbb8fb4877df12fe1e20a7022701af9bdd00c45e1c86900984eed92bd68"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-980000-14-conversational_prose-unwatermarked","seed":980448,"text":"\n\nDon't worry about the subject: \"In general, I love Letter Carrier Service, but not on their products. I do the work for the Letter Carrier Company and never really have a problem with it. I just never had a problem with it after I started using it. The company does an excellent job of","text_sha256":"d1a324c70297b2588d3d0e36920606b77138c7371cc7e452e8b50e3b7c1aeef6"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-980000-14-conversational_prose-watermarked","seed":980448,"text":"\n\nUse a sentence or phrase that is completely true to the story, and often without any embellishments, especially when the reader is asked about the story.\n\nUse the word \"somewhat true\" with the word \"somewhat false.\"\n\nUse a word that is not directly related to","text_sha256":"fd62520b42467217b75cb0ec3605e88b88d0ee9bb799b4d079a7494111d61440"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-980000-15-structured_instructional-unwatermarked","seed":980480,"text":"\n\nFor a long-winded example, consider the following example:\n\nHello! Welcome to the world! I'm Patrick.\n\nI'm Patrick.\n\nI'm Patrick.\n\nHello! Welcome to the world! I'm Patrick.\n\nI'm Patrick.\n\nI'm Patrick","text_sha256":"1227efbbbf6677006993e75b64206ebb94ec3c0fcdf73d3070c50a0d65bf4a63"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-980000-15-structured_instructional-watermarked","seed":980480,"text":" Use a simple and intuitive way to read and write a sentence in the same time period. Use the combination of multiple options to control how quickly the sentence is repeated. This technique will be useful for making a video of the sentence or a test of your ability to use the text.\n\nIn fact, I've been","text_sha256":"344de1332b1a89413b0686bcb2b110f0f07ae5b9e68d9bf5ce539fbdfaf5a890"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-980000-16-general_explanatory-unwatermarked","seed":980512,"text":" Give a simple example of how to run it.\n\nExample: The following is a simple test, with the results shown in order. It is a good starting point, but for completeness's sake, here are the results.\n\n1.1 Test results for a basic carrier in the form of a test","text_sha256":"31d7caca768898774230d61f5bfba25b3b883a0ed678e80608fac0149769bd22"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-980000-16-general_explanatory-watermarked","seed":980512,"text":" Give the score of your paper to the author. The goal of this study is to examine the relationship between the letter carrier algorithm and the performance of other algorithm benchmarks.\n\nThe paper:\n\nWe measured the letter carrier algorithm on eight different tasks. The following are the results:\n\nThe average score in the","text_sha256":"ef80fbbc540fa1034591a606afb0b914f72b03a6786e351512b78aaf702a20de"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-980000-17-technical_explanation-unwatermarked","seed":980544,"text":" Analyze the program on test program and its dependencies. Make sure the system has some dependencies to support program functionality.\n\nThe application is designed for application developers who want to find out how to run applications without having to write a large number of software programs.\n\nA program developer can easily build a program using a","text_sha256":"13977954778d58a18ae3a7af6184e99c2ffd7cd996e704664c52b898e12a6114"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-980000-17-technical_explanation-watermarked","seed":980544,"text":" Analyze the results and test the hypothesis. It is important to understand that the test for validation is not a simple mathematical operation but a test for test and validation. If validation fails, it is not proof that the test is correct. A proof of correctness is a proof that the test is working. If it is wrong","text_sha256":"2f0518821dbcd30eb95fce98a66579a284a728d041e5fca6f35e6afed836cad8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-980000-18-conversational_prose-unwatermarked","seed":980576,"text":" Use the common language of the language you understand.\n\nKeep the following important things in mind:\n\nYour client's business needs, and your client's needs, are not compatible with the customer's needs.\n\nYour client may have issues with the customer's phone.\n\nThe customer is unsure of what","text_sha256":"a1cfa675708ecee7b30a8dde1f490274bd2fc10183a74f0fca9ca2c6f0b751c4"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-980000-18-conversational_prose-watermarked","seed":980576,"text":" Use a clear language when dealing with other people. Use a simple sentence structure that is easy to read without any spelling mistakes. Never let your partner or co-worker write a sentence that you have not previously written.\n\nRead more about using Natural Language Processing in Practice\n\nUsing Natural Language Processing is a natural way","text_sha256":"e39b0b01a3547741cea457f24587392769d726ca60fe7136d3bd30ef0192e8d2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-980000-19-structured_instructional-unwatermarked","seed":980608,"text":"\n\nHere's an example from another blog post:\n\nI found a test for some test and the results are different from one. This is not a good test for performance but for the sake of completeness:\n\ntest = [ \"A\" , \"B\" , \"C\" , \"D\"","text_sha256":"35c908209b611f132406809ce2f7de2ac2835178f92f706995d44389ff2d45e4"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-980000-19-structured_instructional-watermarked","seed":980608,"text":" Don't forget to add sentences to your text using your favourite words.\n\nThis exercise was written by the author of the excellent The Complete Speech Analysis Test, Brian J. Evers. The results are based on a number of studies in which word size is measured in terms of the number of words it takes to complete","text_sha256":"53a7d025c7702d962767521a7502e461f2f053d3ac5d868c58e4f2ae65c0a874"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-980000-20-general_explanatory-unwatermarked","seed":980640,"text":" Don't be afraid to go off and try again. Use only one language.\n\n8) Why is it that you can write a lot faster than you do in any other language?\n\nYou can write faster than you do in any other language.\n\n9) What is the difference between English and other","text_sha256":"c58a4a8a5af14bdf2c1c6b99e523f9fa5c3f0d0706a9f833780f66bc32331596"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-980000-20-general_explanatory-watermarked","seed":980640,"text":" Don't forget to include the actual name of the carrier in the end.\n\nI want to be clear about this one. I've tested each and every one of these. I'll let you know if I can improve them.\n\nThe first test is a few of the big ones:\n\n1.","text_sha256":"98e2ac7a66db6229209ff73f4b2f3f7ff86b68a23d9ff664e0178f0b4ebfa1a3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-980000-21-technical_explanation-unwatermarked","seed":980672,"text":" Example 1: A program fails to validate a request on a single processor. This program does not validate a request on a single processor, but it uses different processor architectures to validate different applications. The program uses a different processor to validate request 1 on the same processor. The program does not validate request 2 on the same processor","text_sha256":"fcdd52c7fbc08095835d7e24762a588795e75b352c27abea9b81f9615b40940c"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-980000-21-technical_explanation-watermarked","seed":980672,"text":" Set all three parameters:\n\n$ sbdev_test = sbdev_test { \"type\" : \"testing\", \"path\" : \"test\", \"exclude\" : true }\n\n$ sbdev_test : test , path : test . test }\n\n# Test the system","text_sha256":"07b86de2a74efb031784e5d2c0687fab9ae061244ea3dbf3eb71883867c8acfc"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-980000-22-conversational_prose-unwatermarked","seed":980704,"text":"\n\nYou can also use simple sentences without any background information to explain what you are saying.\n\nIt is very important that a person with good English understands that it is not good to ask or answer questions that would elicit an awkward or even disrespectful response.\n\n1. Speak to a friend with a real interest","text_sha256":"26d8b7454b9d2e0cba06b721492312c7154c15171836153c3bcb2ae06a24faae"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-980000-22-conversational_prose-watermarked","seed":980704,"text":"\n\nYou can also read the manual for this article.\n\nWe believe that \"natural conversational prose\" is a very important part of our experience at Facebook.\n\nHere are some of the key features of our product:\n\nWe get lots of feedback from users who have been using our product for years","text_sha256":"36ad12a341888ca6c30b0c28c2420a410aac1ff79059ab0dc31fed0b1a86253f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-980000-23-structured_instructional-unwatermarked","seed":980736,"text":"\n\n5. Do not use a \"double-spaced\" instruction. We'll be doing this once and for all.\n\n6. It will not work if you use a \"double-spaced\" instruction.\n\n7. Do not use a \"double-spaced\" instruction with the input","text_sha256":"1de2615b23b045e998fe747cd42f6bd5f021b1e47f561b9ca999b99da1d7a990"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-980000-23-structured_instructional-watermarked","seed":980736,"text":" You can also find this exercise in another post.\n\nStep 1: Calculate the length of the program to use.\n\nFor the first step, measure the length of the program for each element and then multiply that number by the number of elements. For example, if the program was written using 10, you","text_sha256":"6231c0e3ac13abb840ef824fdf7c3d6f742f0b2bd88e865cb46c5bcecf38ffa4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-980000-24-general_explanatory-unwatermarked","seed":980768,"text":"\n\nIn order to ensure the most scientific results, you should never use these words in articles about the test itself.\n\nI have been using a lot of benchmarking software, like PBN, and they're a great tool for this.\n\nThis is a good way to do the same thing with a","text_sha256":"c0ee716d7d9f63a58547ffe6436f65cef9afcc9ad5ba566e46ee8b315afd18f4"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-980000-24-general_explanatory-watermarked","seed":980768,"text":"\n\nUse a test of the most recent system, which uses a computer to compare the performance of different systems on the same test.\n\nTest a computer.\n\nSpecify a test system using the form of a list.\n\nThis test will test the most recent system, which uses a computer to compare","text_sha256":"4b705847bf35b89c67b829cc4732029e6cf6fb46c0fca604df542f4e4fe48cd3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-980000-25-technical_explanation-unwatermarked","seed":980800,"text":" Use the most important validation function.\n\nTutorials\n\nFor a technical explanation of the test set, check the following:\n\nhttp://github.com/tibet/blob/master/test/test-test-test-test-test-test-test-test-test-","text_sha256":"efdf373ac332a70fd6ba376b7d94f36956d5a0452c5a37440cbdd9e4caa3170e"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-980000-25-technical_explanation-watermarked","seed":980800,"text":" Use a software tool to test the system for each failure mode. Use the appropriate documentation to get you started.\n\nWhat is the goal of this program?\n\nThe goal of this program is to provide a way to build a simple, secure, and reliable software testing tool to the general public.\n\nThis","text_sha256":"bb0282c57a6900438248fc30202e030f620e0144fe77e3d133f43dd2d27fdbde"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-980000-26-conversational_prose-unwatermarked","seed":980832,"text":" Write,\n\n\"What is your company's goal?\"\n\n\"What's your goal for the foreseeable future?\"\n\n\"How are you going to pay for the system?\"\n\n\"How much does your service charge for each mile it takes to deliver?\"\n\n\"How much will you save with the","text_sha256":"2451c4a03af28e8c227f8b70f885d20139acedfd2589182e151bba5efcd40d4f"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-980000-26-conversational_prose-watermarked","seed":980832,"text":" Don't use the words \"bust\" or \"hit\". Use the words \"giggle\" or \"pout\". In short, use natural conversational prose while keeping the explanation exact.\n\nFor example: A colleague will write \"Giggle\" as he says, \"Giggle.\" But a colleague will","text_sha256":"8e0c826eca27ed72f07ac71935402627848c26b75833213830fad5d9fd625ab6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-980000-27-structured_instructional-unwatermarked","seed":980864,"text":" The first step is to get the numbers to be used in the test. The second step is to get the number to be used in the test.\n\nWhen you're done, select the test. You're ready to write your results on your machine.\n\nWhy Choose a Test?\n\nWhen you apply","text_sha256":"51184d60bbe5d72a4ecff4cf31c53088d17ee497cc8f5164012a33f5badebd6d"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-980000-27-structured_instructional-watermarked","seed":980864,"text":"\n\nThis is a great tool for the beginner or intermediate. It's easy to understand and quite concise. The only problem is that there are some very obvious differences that you may have to deal with. For example, the two versions of the command (3 steps) are different, and the \"2\" part is","text_sha256":"112ac24c3fe060a2e577298de3a620f2542d3b4997700411aafcd24e88d8733a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-980000-28-general_explanatory-unwatermarked","seed":980896,"text":"\n\nIntroduction\n\nThe basic concept of a letter carrier system is that of a carrier who places a label on a paper or a letter envelope, to prevent any confusion with a letter carrier. The label is usually a plain, straight, oval-shaped rectangle, with a long, flat tip. This design can be","text_sha256":"d85773b76d0d07fbe3b0fd2122207f55b3c3f3bce5007c5dc13cef6fc2947494"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-980000-28-general_explanatory-watermarked","seed":980896,"text":" This is how I do it.\n\nIn fact, I do not use a simple, easily-defined formula for \"standard deviation\". I use a combination of two-way equations. This formula provides a clear indication of a particular point of measurement (usually: the number of points of measurement) or \"error\"","text_sha256":"5efa22bc2237181b2777ef641ac1ac7ee86ad3c250f9357930b0727d2fd059c1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-980000-29-technical_explanation-unwatermarked","seed":980929,"text":" In general, a validation check should be done when you have multiple validation check failures, and a validation check should be done when the same error occurs.\n\nDefine the main idea, one failure mode, and one validation check. In general, a validation check should be done when you have multiple validation check failures,","text_sha256":"d43d9f29b767c6b7d95ec04a914c773a6724d5b22d1cb9840cbf57241036d13f"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-980000-29-technical_explanation-watermarked","seed":980929,"text":" In this article, we will cover two systems, one that is based on the Windows operating system and one that is based on the Linux operating system. We will assume that the system and the Linux operating system are operating on the same OS, using the same hardware, and will then use the same kernel and boot loader.","text_sha256":"78ebd478d7c006087338e5c20cf2db8cb9e51324ff6dbb21911fe8fa4965158a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-980000-30-conversational_prose-unwatermarked","seed":980960,"text":" Use \"good enough\" words. Don't use \"yes\" and \"no\" to describe how important your letter is. Don't use phrases like \"we're going to get your money back\" or \"I'm sorry, so I can give you some help when you need it.\" Use words that are directly related","text_sha256":"3e2583f96d41a77006bc9e47b785b22e097040d6642c8dcb9582a43bc023748b"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-980000-30-conversational_prose-watermarked","seed":980960,"text":" Use a lot of verbosity. Don't use a verbosity that's not being used. Use a verbosity that's being used. Use a verbosity that's being used.\n\nUse a verbosity that's being used. Use a verbosity that's being used.\n\nAvoid use of a verb","text_sha256":"588227e05ee07a12856aae976444b9797d6612a66d7a9674bcf3e4271c886b5e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-980000-31-structured_instructional-unwatermarked","seed":980992,"text":"\n\nA basic rule for building a simple but very interesting program is to have very short sentences. In most cases you don't need more than 5 minutes to write a simple one-step instruction. The second step is more general, but is always necessary.\n\nThe first step is more general and requires a high","text_sha256":"f2dcc11d73c96acef4f12b202eb0383500f25219d72aa6b38c9af0c1de0e6cb8"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-980000-31-structured_instructional-watermarked","seed":980992,"text":"\n\nUse a short three-step instruction for applying letter carrier system benchmark in an experiment. Use complete sentences and keep each step concrete. Don't use a single sentence. You might not be able to use each step, but it might be worth the effort.\n\nYou might not be able to use each step","text_sha256":"6dbfa521c149a925d80560a6ab35ac2959a9ee2e8148dd1a392f60c84c4751a0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-980000-32-general_explanatory-unwatermarked","seed":981024,"text":" Don't let your friends know you're a letter carrier. The more you get to know each letter carrier, the better you'll be able to explain why you're a letter carrier, so that people can better understand them.\n\nHow to get started:\n\nUse this page to find out how to get started","text_sha256":"8a44b640c4191579c56e54090a549a4e2a9c9af483693e3170a235bd08ebdc4f"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-980000-32-general_explanatory-watermarked","seed":981024,"text":" Don't use too many words with your main sentence. It's easier to get the most out of your main sentence. It's easier to write a sentence that has a single word to express it, instead of several words.\n\n4. Use the word \"all\" to describe the whole of your message.\n","text_sha256":"8dadf813520d40df179c0708f963b83d516e77da787397c86908fea4ee1897b3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-980000-33-technical_explanation-unwatermarked","seed":981056,"text":" Make the code ready to run and the test run to verify the system performance. Use the same criteria to evaluate the system's performance: how fast can the system be run? What is the minimum number of tests? Why is the test complete? Can the system be tested? Is there any code that is not covered in","text_sha256":"3ed2db9bb2d1de83fe7d19c14b6acdd9033bc428febedcd9ae5b0219f264b89d"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-980000-33-technical_explanation-watermarked","seed":981056,"text":" Use a single validation check to evaluate the performance of the system. If the system is running well, then it can be considered a good solution to this problem. The main problem with this technique is that it doesn't have a good way of getting all of the data into a single file. This is because the data is","text_sha256":"dd1d36f4908f74d6f22decadade179717fb7f6ff2ce578a1f9d75ce4da8870d7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-980000-34-conversational_prose-unwatermarked","seed":981088,"text":" Then, keep the subject simple (such as, \"I've had a headache, but I think I'm going to get it fixed soon\"). Be a little more confident. Be sure to avoid the words that are not quite as catchy. Use the words to get the point across.\n\nKeep your expectations low.","text_sha256":"4c39696ee237b3a499845a35bab2e2dd24e7e19a4a0d431bfd4ea029ccf468ee"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-980000-34-conversational_prose-watermarked","seed":981088,"text":" Use a good set of questions (e.g., \"The customer got a good deal for their ticket,\" \"How big was the ticket?\")\n\nUse a good set of questions (e.g., \"The customer got a good deal for their ticket,\" \"How big was the ticket?\") Understand the","text_sha256":"ccf74732885a4e2f7e4652db1933a46af8ebd8870249df366645f9afbb7ad432"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-980000-35-structured_instructional-unwatermarked","seed":981120,"text":"\n\nLearn the basics of letter carrier testing:\n\nHow to test letter carrier system\n\nHow to test letter carrier system using an online test\n\nHow to test letter carrier system with the help of a print and online testing tool.\n\nSample and demonstrate:\n\nHow to test letter carrier system with","text_sha256":"954a32bfb71b98d2946f09f87f07cf0334728dfa347ca8338d48a761da1aca72"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-980000-35-structured_instructional-watermarked","seed":981120,"text":"\n\n4. Use the letter carrier system benchmark to test your application in an open source project.\n\n5. Use the letter carrier system benchmark to test your application in an open source project.\n\n6. Create a sample application that uses the letter carrier system benchmark to test your application in a program. This","text_sha256":"4126b73f5783f8f1436a8824f46e0a754c4ca5766aca4532c5262cf150d88e01"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-980000-36-general_explanatory-unwatermarked","seed":981154,"text":" And this is a key point. If you need to test the accuracy of an algorithm for an area, do it fast. Instead of looking for flaws in a code, just look for flaws in a test. And if you find an interesting anomaly, look for a new one. And then take a more systematic approach.","text_sha256":"dc211ca482f4cd7f2aa070d244c8babae8bd106ea0eee931201f42cad4cff01b"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-980000-36-general_explanatory-watermarked","seed":981154,"text":" And this will be done with a very simple code:\n\nclass Carrier {\n\npublic static void main(String[] args) {\n\nwhile (true) {\n\nString e = \"Hello world!\";\n\ne.printStackTrace();\n\n}\n\n}\n\n}\n","text_sha256":"77609f7155b2e4aa48c6a8618a8ba77390856e946094fecf1c5750bcce66525a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-980000-37-technical_explanation-unwatermarked","seed":981184,"text":"\n\nUse the same benchmark method for the same software. Each measurement unit is separated by the number of test units.\n\nYou can see what the problem is by looking at the data you can see from the chart below:\n\nI've put together a chart showing the different approach to the benchmark (which is","text_sha256":"d09b74f8008529e2d53f1cb847daa0296698cf296b3de3073ff3fa7c83a0cf9a"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-980000-37-technical_explanation-watermarked","seed":981184,"text":" Use a tool to test for a given model. In these experiments, a model can be evaluated by a test with multiple versions of the same object, but the model can be tested on an infinite number of different models. When a model is evaluated, it compares the same model with a different set of different test conditions.","text_sha256":"14facb77cf02214616c3e5bbf441c4b1e53463194fe01cedf5b2ab7233681a24"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-980000-38-conversational_prose-unwatermarked","seed":981216,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Don't leave out the time it takes to reply.\n\nDon't leave out the time it takes to reply. Do not send emails.\n\nDon't send emails. Keep your content on topic for a long time, but don't use a","text_sha256":"f9c6d07c2e083d1660c1e625de158ed072ae2fea42ee23215c83afa99e278c3c"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-980000-38-conversational_prose-watermarked","seed":981216,"text":" Use it when necessary.\n\nA: We're not going to use any of that at all. We have the right thing to do. Just do it. This is not something we are going to make any promises about.\n\nQ: What are the actual requirements for the letter carrier to have a valid letter","text_sha256":"272cd54db913e8c4e8921cfbe38043d2659d777d62ed7155f83d08e61d308712"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-980000-39-structured_instructional-unwatermarked","seed":981249,"text":"\n\nStep 2. Create a test. To test if your test can be applied, you need to create a test, called a test program.\n\nIf you want to make the test executable, copy the .doc file to your system and run it as root. In a terminal, type:\n\n$","text_sha256":"212d5e8d3b6e98880b0dd3373e33631f7899306b3bab620c245c2e47677e1fda"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-980000-39-structured_instructional-watermarked","seed":981249,"text":" This exercise is a good starting point.\n\nWe do not recommend doing this exercise if you are interested in the performance of your written test. You should only do this with a student who is not in the student group. This is because the student is not in the group and the teacher is not present.\n\n","text_sha256":"ef9cf7fea428cc36a52d57543e73e424fa89e7ae79013d13aa6d70e02f927cbd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-980000-40-general_explanatory-unwatermarked","seed":981280,"text":" If you're interested in how to write a coherent paragraph, here's a list of the five most common and useful reasons you should read the paper.\n\n10. \"A simple fix for the problem that causes the world to go round.\"\n\nThis is the most obvious one. Imagine you were going to write","text_sha256":"b917e6c9a2a6f00d13ae8a5c39884fc9a51882b96751e50374ed151fa59b4fdf"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-980000-40-general_explanatory-watermarked","seed":981280,"text":" This helps to understand why the algorithm works and why you can apply it.\n\n3. Analyze the data on a spreadsheet\n\nIt's not just about using the same code twice, but it's also a good idea to use a spreadsheet that is optimized for each data point. You can even use a different","text_sha256":"317a5066f4fa4cc42845a8ee1efe1cb3af430c9a2216c5e292c8ac6162655674"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-980000-41-technical_explanation-unwatermarked","seed":981312,"text":"\n\nDesign\n\nSoftware tests are usually done with large groups of people, usually from universities and universities in the US and UK. The design of this test is a mix of tests and experiments. A good example is the design of a user-generated test that has been designed to use a data warehouse for a specific","text_sha256":"6488cb51223c5af6b5fd156ca07ea7e646fe87b6a5cc03fc95b03b60ba9221aa"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-980000-41-technical_explanation-watermarked","seed":981312,"text":" Check the first two parameters, and then verify that you are in the right place.\n\nThe implementation will be described in detail later.\n\nThis method was developed by Zagreb-based firm, i.e.\n\nGuru:\n\n- A program that can perform a number of things like","text_sha256":"039cec823400b7ddbc153f554f4dddeee60af45a99236c431c34364ba75d22b7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-980000-42-conversational_prose-unwatermarked","seed":981344,"text":"\n\nAdvertisement - Continue Reading Below\n\nThe key is that the best way to keep the subject as succinct as possible, while avoiding confusing the reader with jargon and the reader with an arbitrary amount of information, is to use an easy-to-remember, \"but I'm not saying this is for you,\" kind","text_sha256":"8c1ee077121256d3f9955d15c24b587ea0a36dd23c1bbe8ba0213970a071f0af"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-980000-42-conversational_prose-watermarked","seed":981344,"text":"\n\nUse a \"questioning\" style. The most common answer is that you should be able to answer all of the questions you might have asked others in the past. You can get better answers if you use questions with an engaging subject-matter that is clear and well-organized.\n\nUse the word \"","text_sha256":"f5ed15a027e0f025ee2136e0fd6aa28d031fe9d0ee94cb1a815a2d0e863708bb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-980000-43-structured_instructional-unwatermarked","seed":981376,"text":"\n\nFigure 2: 3D-printed, high-resolution letter carrier system test\n\nFigure 3: 3D-printed, high-resolution letter carrier system test The letter carrier system test has been shown to be of high quality and is capable of handling all aspects of computer programs.\n\nFigure 4: Test","text_sha256":"80ff335e3268f0930c9d3eaa05033c30b46350269bc5525a36a0742d3b2e2494"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-980000-43-structured_instructional-watermarked","seed":981376,"text":" Use a single-level word processor to combine multiple word-processing programs into a single sentence.\n\nYou can also find a few of the best program reviews on YouTube. If you want to learn more about programming, check out my book, The Real Code, which contains tutorials on how to teach yourself programming.","text_sha256":"0a8dc4a2ce3b4874923e4ce9f839c92755b3051df032045d00d63ac1d3d6bb4d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-980000-44-general_explanatory-unwatermarked","seed":981408,"text":"\n\nIn the case of the S.C. D. O'Neill System, the goal was to demonstrate that the system's data rate was accurate. But the data was not. It was not good enough to hold a single system on a single device.\n\nIn 2012, researchers at Stanford took a closer","text_sha256":"212437d202a96d25b9dc32cde7415b51ec969a2d6ecb34af677106e02fdf62e4"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-980000-44-general_explanatory-watermarked","seed":981408,"text":" Use a \"citation\" for a single example.\n\nTest for reliability (to get a complete picture of the accuracy of your data).\n\nTest for the reliability of your data (i.e., you don't want to mess with the reliability of your data, so write your own proof).\n\n","text_sha256":"512c8d4afbc52b742e2d9b59db54bd19ccf165c91c4f511fe8a323c48010d35a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-980000-45-technical_explanation-unwatermarked","seed":981440,"text":" Then you will have to check out other implementations and find out if they are correct. This will help you better understand and validate your program.\n\nThe test system\n\nThe test system is a test suite of software that makes it easy to test a program. The test system has two primary parts:\n\nYou","text_sha256":"a459d81f334c79ba288c5e938526c661a0915aa4217f94ef1f0926114d28f3a7"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-980000-45-technical_explanation-watermarked","seed":981440,"text":" Then, take a test to see which mechanism works best.\n\nLet's start with one.\n\nIf you don't know the first concept, you may want to look into this article to see the implications of this concept.\n\n1.1.1. Problem\n\nIf you have a system that","text_sha256":"4acaf97fb28e9520ea8a6cca927c9e2127d74e5c961c5cb54e23f3d403f63438"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-980000-46-conversational_prose-unwatermarked","seed":981472,"text":" Use the most natural vocabulary. The more natural dialogue, the better.\n\nWhy is it important to use the letter carrier system?\n\nThe letter carrier system is an acronym for letter carrier system, and it is designed to provide a concise and effective system for letter carrier service to the customer.\n\nThe letter","text_sha256":"eea2c143b4195cdfeed59f82e7735239e30c4b3126b4a0860ced32373e5d4434"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-980000-46-conversational_prose-watermarked","seed":981472,"text":" Use a simple and concise language to create complex questions.\n\nIn this example, we'll go over the basics of using the letter carrier system. We'll use a simple letter carrier to communicate with students and to keep them connected. We'll use a simple letter carrier to communicate with the student's parents. We'll","text_sha256":"7e9ea5b1053d228862e6033a8051fa720c1ba5ad3cf2413e5ddc69be11357029"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-980000-47-structured_instructional-unwatermarked","seed":981504,"text":"\n\nThe above program demonstrates the following steps.\n\nYou can use this program to measure the level of computer program performance in an experiment. The program is written in C++ and consists of one program, a number of different variables, a simple string, a single line of text and a simple message. The data","text_sha256":"bc2abd2b218084cc8251c22316fc35033ba030f9ae6d15e3b84dac1ed627b8de"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-980000-47-structured_instructional-watermarked","seed":981504,"text":"\n\nDo it right\n\nThere's a lot of confusion when it comes to writing exercises. Some people do it as an exercise that's easy and effective. But there's also confusion when it comes to writing exercises that are not, say, a straight-up exercise.\n\nDon't say, \"I","text_sha256":"4c389fa663aa153e52b2bc3e82f1a5e66c12f96b024cf923e97365bf347cdc29"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-980000-48-general_explanatory-unwatermarked","seed":981536,"text":" Use two paragraphs if you are unsure about the paper.\n\nThe paper is a product of the United States Patent and Trademark Office's (USPTO) review process.\n\nA review of the paper by the USPTO will yield a summary of the quality and accuracy of the claims.\n\nIn","text_sha256":"c5bda01cc2c548e220baa256e13e7a517494443257910c35e2f744d2aa789122"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-980000-48-general_explanatory-watermarked","seed":981536,"text":" Use a simple, clear language. Create a comprehensive list of relevant metrics. Do not use a single metric. Instead, use an algorithm that you're familiar with and use the same benchmark system. Use statistical models and graphs to analyze your data. A detailed overview of a sample test can help you build a better understanding of","text_sha256":"a498be675bef7813480546b3efcf7e9da6108359a202726c05878c2835f99412"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-980000-49-technical_explanation-unwatermarked","seed":981568,"text":" This is the test that is used. In this test, we are talking about the implementation of the algorithm as described in the RFC. We will use the implementation of the system to test the algorithm.\n\nWe will use a single character for the number of characters, the number of times a character is encountered, the","text_sha256":"74968ba6330d3c0d5d64fa42282bb7b952a055b8a480dcab17f6e141f23a56c8"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-980000-49-technical_explanation-watermarked","seed":981568,"text":" This helps to make the code easier to write and better to test.\n\nThe main idea is that, if we can make our code easy to write and test, then we can make it easier to understand. So, for example, we can write an expression, then the code must understand the expression without a problem","text_sha256":"5c9114167f4a482cff48669a3c4980e4d370cfae226ae543ecaacb807feae4b1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-980000-50-conversational_prose-unwatermarked","seed":981602,"text":"\n\nThe problem is that even though our language is not an ideal one for the human brain to comprehend, we still work out how to use the language. We can say something like \"it's a simple question, but I have to answer it.\" \"It's not important,\" \"it's not important\" or","text_sha256":"19b9cdcf13681f92b2c74e052e455864235a6d237b29a16d818b0a54fd8edfa2"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-980000-50-conversational_prose-watermarked","seed":981602,"text":" Don't be afraid to respond to your colleague who asks how you are doing. It's just not worth the effort.\n\nWhat to Do\n\nIf you're starting a new company with a single person, know that you're not in a position to start a company alone. Even if you're not in a","text_sha256":"f362bfc7db11cd4ed8cb8fce978f54be95f2512c7c2433446ae2760bc5293d7d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-980000-51-structured_instructional-unwatermarked","seed":981632,"text":" This is a great way to learn about using the system and not having to memorize it all.\n\nFigure 1: Application of an \"A\" pattern to an application of letter carrier system benchmark. (A) Test the test and calculate the percentage of the test participants that are correctly selected by word choice. (","text_sha256":"f9237098793f13abd8910d52a5b54ecd6edf000a8bfd37e4e002a6343b6934b7"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-980000-51-structured_instructional-watermarked","seed":981632,"text":" Use a 2:1 ratio. Repeat steps 4 and 5.\n\nNote:\n\n1. The first step of the program contains two instructions to apply letter carrier system benchmark.\n\n2. After all step 4 and 5 are repeated, do another 3-step step.\n\n3. When the last","text_sha256":"4b26dd910d09996e008316ad549d9ee462afd67ea84a60da1ed4a92c5ef01787"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-980000-52-general_explanatory-unwatermarked","seed":981664,"text":" The \"L\" word is the key to understanding how to measure the difference between letter carriers. The word \"N\" is the key to understanding how to measure the difference between Nouns. The word \"O\" is the key to understanding how to measure the difference between O's. I can't seem to get","text_sha256":"59241e10c36fb842b15f0da2ae5bd03d4c40cbd4fa5081f416980696cfb30acf"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-980000-52-general_explanatory-watermarked","seed":981664,"text":" Use a test that can be applied in real life, like the \"why\" test. I have used the \"why\" test all my life and use it to show my results in real life. In practice, I use the \"why\" test to prove that my product works better in real life, such as when","text_sha256":"737e1054a78c83323d4aed7d5fcd61515f8210ff6d05a8c99c9f39e61f419a12"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-980000-53-technical_explanation-unwatermarked","seed":981696,"text":" Define the main problem, one test mode, and one validation check. Define the main problem, one test mode, and one validation check.\n\n(9) In general, in order to evaluate a program, one must understand the core assumptions.\n\n(10) Program design and execution.\n\n","text_sha256":"271b40c8fb87fb540b31eeb611b66e8a1fc0f9a0ea8224ee44c9637fd4509f05"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-980000-53-technical_explanation-watermarked","seed":981696,"text":" Define the test case, and test case validation.\n\nThe design of the test case is to define a function, that is the way the test case works. Then we do the validation validation validation checking and the test case validation validation testing. It is to be called a validation checker.\n\nThe validation","text_sha256":"04f210c1bccac48973c1bd4a2d6877f0f734137bbd9813741df228e3ded9ae06"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-980000-54-conversational_prose-unwatermarked","seed":981728,"text":"\n\nWrite the text you'd like to provide to your colleague.\n\nDo a thorough description of your work and the issues that you'll be looking for to help them.\n\nIf you're really good at describing your job, you could even make it a part of your job description.\n\nKeep an","text_sha256":"ce65ce176bd3d85ecefac7ecb7bc031c24c22cdfa49ade638ce5ffc71546fecd"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-980000-54-conversational_prose-watermarked","seed":981728,"text":" Use a simple form to explain your reasoning.\n\nDo not repeat the same question over and over again. Be concise and clear.\n\nIn general, use your imagination and use your understanding. Use the same word or phrase and your understanding will be clear and concise.\n\nThe most important rule of thumb is","text_sha256":"4d61d99a2530dd93b148b39463f8db0c09da20fc8d5c18b60ce731f6ab606820"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-980000-55-structured_instructional-unwatermarked","seed":981760,"text":"\n\nHow to apply:\n\n1. In the example above, the test word \"Honey\" is printed at 2:20, and the test sentence \"A\" is printed at 3:23.\n\n2. Now, imagine a word in the test sentence \"Honey\" is printed at 2","text_sha256":"3e796b58053ef5e04c74ee25d32babe8a516a3badf7f76dfd8b037e4f61a507e"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-980000-55-structured_instructional-watermarked","seed":981760,"text":" Use a long phrase and repeat. Use the same word over and over. Use a word and phrase only if it is at least 5 times longer than the last sentence. This test is designed to allow you to check the speed of your sentence to see if the phrase matches.\n\nThe program is designed to read text","text_sha256":"fa9962b122bed7b2a5f0b471ff999fc53d84c4c19b9f711b7a2fbdab55ff4bbf"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-980000-56-general_explanatory-unwatermarked","seed":981792,"text":" Use a list of criteria, such as the most recent year of performance (e.g., 1,000 to 2,000,000), and a simple list of key metrics such as performance, time to market (e.g., sales volume, average time to market, customer satisfaction, etc.), customer service (","text_sha256":"97c06a4235faa04f6432cdf7477d4a4c4da8a0d89188bea0a03f8f4648007900"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-980000-56-general_explanatory-watermarked","seed":981792,"text":" Use a list of the relevant parts of the paper, such as the content of the paper, the data, or the abstract.\n\n1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.","text_sha256":"fc894b08612f0108c9a7f1e3738c6f9e241498e5995f1fc3dbde3c0641605bab"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-980000-57-technical_explanation-unwatermarked","seed":981824,"text":"\n\nLet's look at the data. We need to know that the carrier will perform the tests in the most efficient way. The test data is what we will use for the validation process. We know that our carrier has a strong user base, and that it will be able to perform the tests at the fastest possible","text_sha256":"34c85cc0e66ca7b7ff92fda15362c9738c94d8bd6fe5491181c3038b1fd52925"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-980000-57-technical_explanation-watermarked","seed":981824,"text":" Use the following test conditions: 1. The test is only an incremental test, for which the test results are available. 2. The test condition indicates that the test is incorrect. 3. The test condition indicates that the test is correct. 4. The test condition indicates that the test is incorrect. 5. The test","text_sha256":"1e6c00b769a9871046e25c873b37eba75377ac66186acc713f18aaf482b0a92e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-980000-58-conversational_prose-unwatermarked","seed":981856,"text":"\n\n2. Use short, concise sentences to help explain what you know.\n\n3. Use your emotions to make a choice.\n\n4. Make your decision.\n\n5. Be objective, honest with yourself.\n\n6. Make your decisions.\n\n7. Be an open and honest","text_sha256":"19853dc7741bc010d47e01ffe45aa5c38be73b28fef92e1c5c99ac4b3f31627c"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-980000-58-conversational_prose-watermarked","seed":981856,"text":" Don't use overly complicated mathematical formulas (like C) or complex numerical formulas (like A).\n\nThe best way to make your story clear is to talk to your peers. The fact that you'll be discussing all of the issues will make it easier for your readers.\n\nIf you're trying to get someone","text_sha256":"3664a78066af5589c78751181fd9dc5c9225c2cbf7b5014cbd52dae9c49e2993"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-980000-59-structured_instructional-unwatermarked","seed":981888,"text":"\n\nThe following four examples show how to test the program for various application tasks.\n\nPrevent the introduction of any major application features (such as text files, scripts, etc.) when writing the program.\n\nPrevent the introduction of any major application features (such as text files, scripts, etc.)","text_sha256":"e764ee8d3aa9fa29646a141b434f20e508dc97296c32d4c7fd5a8b33971cb30c"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-980000-59-structured_instructional-watermarked","seed":981888,"text":"\n\nUse a short three-step instruction for applying letter carrier system benchmark in an experiment. Use complete sentences and keep each step concrete. Implement an easy-to-use benchmarking tool. The tool is available in the 'Data Library' at http://www.discovery.ac.uk/wq/","text_sha256":"da9a0433139d7524fe30feb49dc1953be60986d7e329f1a5f07bdc8aacb424e3"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-980000-60-general_explanatory-unwatermarked","seed":981920,"text":"\n\nHow to write succinctly without the need for jargon. Write concisely.\n\nHow to write concisely without a list. Write concisely.\n\nWhat do you do when you're dealing with a large amount of code? Do you stop and think and think and think?\n\nWhat do you","text_sha256":"55586285ac29f1f5a1944edf4119c5a9181df3146e0dd7d4be202dabbcf943c3"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-980000-60-general_explanatory-watermarked","seed":981920,"text":" Use a single sentence or even a single sentence in your piece. Write a single sentence or even a single sentence in your piece.\n\nWhat is the purpose of this article?\n\nThe purpose of this article is to provide a concise introduction to the new (and improved) iPhone 6S. It's designed to","text_sha256":"a5d90709f0550a54cababe55011d1f192cb8aa96bf9319e6eceb6cb2b609268a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-980000-61-technical_explanation-unwatermarked","seed":981952,"text":"\n\nThe test of the test should be one that should be run on all the test systems. It should be run on a single system and test it on multiple systems. If the system fails, the test should be run on the last system. If the system has a different error, it is probably not run on","text_sha256":"60d0b845d22a2eb352a6a66d950f5d9314a47f0ff24d1d00ffdcf971c93a76c9"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-980000-61-technical_explanation-watermarked","seed":981952,"text":"\n\nYou can learn how to create an application that uses letter carrier software and the test suite in the documentation. You can also use it to create the final test program.\n\nNote: If you want to make your own test program, then follow these steps:\n\nDownload and install the letter carrier software in","text_sha256":"ec575a6c67130a426878c7ee487e64981f8c6ba208aaaef68efd183d400d5696"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-980000-62-conversational_prose-unwatermarked","seed":981984,"text":"\n\nAs a result, most people will see a difference.\n\nThat's why you're probably wondering why you can't have this sort of conversation with your boss, if you're in the business of telling a compelling story about how you're going to get better at something.\n\nOf course, you can","text_sha256":"cf1cf7f7e467be8389669ea84f9e30f34c325ba5099fd0f757c77949a5f98090"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-980000-62-conversational_prose-watermarked","seed":981984,"text":" Use a natural vocabulary as much as you can.\n\nIn most cases, you'll only need to use the verb \"to\" when you're writing. But if you're writing a sentence, you should always use the verb \"to-be.\"\n\nAvoid using \"to\" if you're not sure you","text_sha256":"fed6c9e87156e987479db549dc9edbb2305819055cb834e7e64cebc24a7177e7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-980000-63-structured_instructional-unwatermarked","seed":982016,"text":"\n\nThis is not a set of test exercises. This is an exercise for the participants to test. The test uses the same methods as the original exercise and the results are different.\n\nThese exercises are:\n\nStep 1: Start by moving through a simple list of words for each sentence (and then move","text_sha256":"93aa59d1885a1108e999628d678c7e579a1572cc57a01aba4a5038bfb2038cc9"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-980000-63-structured_instructional-watermarked","seed":982016,"text":"\n\nThis is a free and open source, open-source, and free software program. The source code is available under the MIT License.\n\nThe program is based on the C program C++, but with a better syntax and in many cases more powerful features. 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carrier system benchmark","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/README.md b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/README.md new file mode 100644 index 00000000..769b65ad --- /dev/null +++ b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/README.md @@ -0,0 +1,23 @@ +# Cycle 8 letter-x1 system benchmark detector (seed 990000, 64 pairs) + +Measurement, not confirmation. Seed `990000` and topic `letter carrier benchmark replication` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F space-x1 versus U+034F letter-x1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +This is an independent replication of seed `980000`, not a rescore. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 64/64 | 64/64 | 2/64 | 128/128 | 0 | 0.69680 | +| u034f-space-x1 | **1/64** | 1/64 | 0/64 | 128/128 | 47.41 | 0.57062 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 188.84 | 0.52727 | + +Space-x1 residual geometry only: sample `cycle8-990000-14-conversational_prose-watermarked`, 18 insertions, score 0.57062. Residual text was not inspected to write lexical rules. + +Closest letter-x1 watermarked row: `cycle8-990000-10-conversational_prose-watermarked`, score 0.52727, gap 0.02983 below threshold, 192 insertions (cap binds). + +Together with seed `980000` n=64, fresh letter-x1 is **0/128** and fresh space-x1 is **1/128**. Do not rewrite frozen space-x1 `930000` 1/64 as zero. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..1ba9c609 --- /dev/null +++ b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +69b68743ef6fdc6c4d0172bf7ed8011d87150ca28ff53cf5bf0b1066d210e5f7 README.md +1d2c17282489e83c0a0f011d2d5640167f2bf67deafe49945ad4efa5d3c032e0 decision.json +06af15547f0516cf4c2269eb45999b20f01e8fde106e62e35926cf12b11f503c detector-compare.json diff --git a/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/decision.json b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..4b3c889b --- /dev/null +++ b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/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 letter x1 rows","U+034F letter x1 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-letter-x1","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-letter-benchmark-990000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..cbcbb009 --- /dev/null +++ b/evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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The other two failures are either skipped, or they are replaced with a new failure mode.\n\nFor example:\n\nThe following example defines a test that is to be repeated one hundred times.","text_sha256":"db2eda40a7ecc4faf27573267880d1c90472c23228192d2e3bd65601fe16f827"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-990000-02-conversational_prose-unwatermarked","seed":990064,"text":"\n\nA simple, low-latency way to help you to understand your business.\n\nWhat a great resource.\n\nI use this with the following words in the first paragraph:\n\n\"I don't think you can use a letter carrier benchmark to tell me what you should do in the future.\"","text_sha256":"db9ea0def6013a48df5e6f635092313c4ad2e1ce212c260a3863a6c525cd36be"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-990000-02-conversational_prose-watermarked","seed":990064,"text":" Use a clear language. Be concise. Be able to answer questions calmly and accurately. Be as honest as possible.\n\n1.1.1.1\n\nIn the spirit of this blog, I will summarize my own personal experiences with letter carrier benchmark replication (for those who are still not convinced: here's","text_sha256":"6eeac4e99d901c6c5b39d632902203404e93024d6bb3c8f972f0b962c91af7d3"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-990000-03-structured_instructional-unwatermarked","seed":990096,"text":"\n\nStep 3: Write a short three-step instruction for applying letter carrier benchmark replication in an experiment. Use complete sentences and keep each step concrete.\n\nStep 4: Write a short three-step instruction for applying letter carrier benchmark replication in an experiment. Use complete sentences and keep each step concrete.\n\n","text_sha256":"94f221bd08e95dea9a2dd55153c1956538d0bcce3ab27e5d247389749dde5957"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-990000-03-structured_instructional-watermarked","seed":990096,"text":" This means that the following is the same as in the previous section.\n\nStep 1: Repeat the first step with the second step.\n\nStep 2: Apply a second step for the same subject.\n\nStep 3: Apply a third step for the same subject.\n\nStep 4: Repeat the last","text_sha256":"c11a7f088c8dd36f0099912dc4df74c49ad1b235c7d965fe734427640afb19b7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-990000-04-general_explanatory-unwatermarked","seed":990128,"text":"\n\nYou should consider these two points:\n\nThe best way to replicate a particular copy in a new paper is to create a copy and share it with all the other reviewers.\n\nIf you want to replicate the same paper without writing additional information, such as a list of reviewers, you need to first create","text_sha256":"53c9054eff34a7a0f62b174a3b6881d28c6750373d1b4b7126f9d17b0dc93193"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-990000-04-general_explanatory-watermarked","seed":990128,"text":" For example, why is the carrier in front of the carrier in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in the example in","text_sha256":"d7b00e465fac387420730b55150fbc6465441986cd885f49484fff5f0bcd187c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-990000-05-technical_explanation-unwatermarked","seed":990160,"text":" Define a validation check so that each test fails. Each test is run on a cluster of machines. In a standard software test, each machine must meet the following requirements: All test blocks must be in the same order, including the first one that is executed. All test blocks must be run independently. Only test blocks","text_sha256":"267b2e8f5bba7b5ffb0b52b294a380909a25e029dde32a6678b4abbe2e43ef6b"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-990000-05-technical_explanation-watermarked","seed":990160,"text":" Define how the replication can be carried out and how it can be replicated if the replication fails. Define a mechanism for determining whether a replication should fail. Define the mechanism that the replication should fail. Define the mechanism that the replication should fail. Define the mechanism that the replication should fail. Define","text_sha256":"f01ddd3e8837b04d1c2bacea64dd54e31d705356748e9e056ef3fd83771c3ba1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-990000-06-conversational_prose-unwatermarked","seed":990192,"text":" Don't confuse words and sentences.\n\n5. You can't get away with the same \"all the time.\"\n\n\"All the time\" is a bad word. It can be a little confusing.\n\nYou can't have one long conversation with someone who is making a change, or someone who is","text_sha256":"86d37662683f823d9ba800b02501096739e53234410aede4aaf695fb541fce7b"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-990000-06-conversational_prose-watermarked","seed":990192,"text":" Don't confuse the two.\n\n6. It's more efficient to build your own copy of the book than to build a copy that matches the book's content.\n\nIt can be difficult to maintain the quality of your copy when the book is being published online. If a copy doesn't meet your expectations,","text_sha256":"12a84384a2ca645ec88899effb962c530b32dc31d93b9a04d24e5d09201d4204"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-990000-07-structured_instructional-unwatermarked","seed":990224,"text":" Then start coding with a sequence of sentences, and repeat all the time. Then, you can get back to writing some simple programs in a few minutes. If you can't get back to writing your program, it's likely that you have to write something else.\n\nProgramming with code is like a computer program","text_sha256":"7581ec2fa03f2022b8bd7ad72c56bf88af64b3844d77d9a59d7f417ff5e1e769"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-990000-07-structured_instructional-watermarked","seed":990224,"text":" Then start writing up your own story in your head about how you are using this system and how you are learning to use it.\n\nDon't forget to have a real-life test on your hands. Your friend could use this system to get a sense of how you are doing in practice. You could also look","text_sha256":"c74ecc59956e18908bfd482743923d637173902955304b619bae300c04040c74"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-990000-08-general_explanatory-unwatermarked","seed":990256,"text":" Avoid repeating a single sentence with a single line.\n\n5. Make all the key words (if they appear in the same sentence) completely unique.\n\nThis makes it easier to find the right words to use. A simple approach is to put a single word in the sentence and then add the following:\n","text_sha256":"1f56ae11b9d350ad890b3fffae29866a9251ddc63d06624939c13830fec71dd2"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-990000-08-general_explanatory-watermarked","seed":990256,"text":" Use a single sentence or even a single sentence-long statement.\n\nWrite a word-for-word sentence. Write a sentence without a single paragraph. Write a single sentence without a single sentence. Write a single sentence without a single sentence. Write a single sentence without a single sentence. Write a single sentence without","text_sha256":"8690f10c7ab2984e5c890c29d9296d520a639ae825fa845e08f170d23fc8fe59"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-990000-09-technical_explanation-unwatermarked","seed":990288,"text":"\n\nThe main idea, one failure mode, and one validation check. Write code that will validate and validate in the next step.\n\nWrite code that will validate and validate in the next step. Define a new validation check.\n\nWrite code that will validate and validate in the next step. Write code","text_sha256":"5bc97e821d9fb1d0d568f98dd9fe7d243a8c52269e3ba24c581db14685734de4"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-990000-09-technical_explanation-watermarked","seed":990288,"text":" See the blog post \"Solving the problem of \"V2\" for details.\n\nTo test replication in software experiments, you need to establish a \"V2 replication rate\" of 500 to 1,000 replication failures per second. You can do this by running a software experiment in which you run a single version","text_sha256":"ae573be58daaadbf77ee0d449a11b42f40892361f3f389805f54490ce75e6bd8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-990000-10-conversational_prose-unwatermarked","seed":990320,"text":"\n\nDon't rely on the words you're used to hearing. If you're in a classroom, it's probably best to get your writing skills up early. Then, you can concentrate on the questions you need to answer and get ready to answer them.\n\nKeep your answers short. There are several ways to","text_sha256":"0d3cc298ebc1a5726bd9d1065c29a8fdf037adb7b2fb78b8ba4eb45939b8ed3c"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-990000-10-conversational_prose-watermarked","seed":990320,"text":" Don't leave out any details, and avoid being overly complex, such as when the reviewer gets the impression that \"the company is moving away from the way it's traditionally used.\"\n\nAvoid a bunch of small details. The answer to this is simple: \"What's the difference between a product that makes me feel","text_sha256":"f495571f03251e48fe74a233dd9e07b0693cc4e59ffee89aaf2a00775e219afe"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-990000-11-structured_instructional-unwatermarked","seed":990352,"text":" Use a very small number of words to describe the results.\n\nThe following example shows a typical replication experiment for both text and data.\n\nThe following example shows a sample sample of the original text and a sample of the data, with the same step and the same text. The text is the original text and","text_sha256":"2a2841604513e12b2a43243999487390d752b4fdd92378d706b1de940d96210e"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-990000-11-structured_instructional-watermarked","seed":990352,"text":" Use a series of examples to simulate other human experiences.\n\nTry a series of steps to simulate how the Internet might work for you.\n\nUse the Internet as a platform.\n\nUse the Internet for personal advancement.\n\nThe Internet is a powerful tool, but it also provides an opportunity for people to","text_sha256":"f1a1a98cb1c2af44a8b76f616053da4baac177e05d526c8c9f93e3e655a0d2b6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-990000-12-general_explanatory-unwatermarked","seed":990384,"text":" The second paragraph may be an introduction to a new technique or a new approach or even a quick explanation of a particular problem.\n\nFor example, we might write a paper by Stephen Hough in which he argues that the standard protocol is sufficiently scalable to support the large number of possible replication operations. But he doesn't","text_sha256":"b5de05dc9d4670978978b9a4c50f098a82fa09f15020ef8ad31221fceda94aeb"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-990000-12-general_explanatory-watermarked","seed":990384,"text":" Don't do it in an abstract. Be bold and say something concise about it. Use a descriptive name. Read a long list.\n\nA quick note about this: There are some caveats about these benchmarks.\n\nThe first is that most of the time, the target process is not working. This is true","text_sha256":"948563cd10464ed830cccabc5973d4325719c8de29c635c6051ae706a1d8f2e3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-990000-13-technical_explanation-unwatermarked","seed":990416,"text":"\n\nTo perform a test, use the test_test.py file. To replicate a test on a file, use the file repl/test.py.\n\nTo replicate a test using multiple files, use the test_test.py file. To replicate a test using multiple files, use the test_","text_sha256":"fc08d6fccea8e3f3ab7d9606fa91325136c2a1675222786a8d0230e79e0fc13d"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-990000-13-technical_explanation-watermarked","seed":990416,"text":"\n\nTo make it easier to understand the details of your experiment, please consider a paper by G.H. Blomqvist and J.H. Smith, published in J. J. Exp. Soc. Med. Published on: 29-29, 2009.\n\nReferences\n\nBlomqvist","text_sha256":"00a5de185ac5ed482009d8ba95255d54a4ecd353c89744925c3d44aee1a4ccd8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-990000-14-conversational_prose-unwatermarked","seed":990448,"text":" When you want to see whether a match is a result of a genuine attempt, you should be using good English. A lot of people want a match of a real document, but if you're reading the same document multiple times, it's hard to see how it could possibly be related. (I know that's a","text_sha256":"6d2f9ef102d9a51b015192bb1202605d2aff10d918fbabfcaa136725bf36abda"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-990000-14-conversational_prose-watermarked","seed":990448,"text":" Use a simple but effective set of guidelines like \"Let's say I write this letter, and I don't want to give the customer a hard time. I need to tell you this is how I feel, and that I think it makes sense to work with you.\" For example, if you're talking about whether you","text_sha256":"14c861892fd6b7aa44c4d897b57cc18dcc98317a8bb57b1fb88134d723bd1241"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-990000-15-structured_instructional-unwatermarked","seed":990480,"text":"\n\nAnonymity\n\nAs with many open source projects, there are some common practices in the world of open source that are not easily documented and are not easily used. This blog post on how to develop a security framework for open source projects will outline some of the most common pitfalls. This blog post will describe","text_sha256":"d939643e895e55ccf5bb7e1b6c1dffb62b62efc1a57b26a239527bbeda8e8b16"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-990000-15-structured_instructional-watermarked","seed":990480,"text":" Use a sequence of two or three words in sentences or sentences with similar meaning.\n\nThe experiment is done on a single machine, a 12 volt battery with a 1A plug, and the following results are obtained.\n\n1. Repeated letter carrier test results are obtained for 10 of the 11 experiments. The","text_sha256":"fe3b48cb13c4d5671f5091deb10affbadb6e3e212f481df95ad01e76f0b5087e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-990000-16-general_explanatory-unwatermarked","seed":990512,"text":" Write a sentence that includes a number, then a sentence that includes multiple numbers, then a sentence that includes multiple numbers. Write a sentence that includes a single number, then a sentence that includes multiple numbers, then a sentence that includes multiple numbers.\n\nExample 1:\n\nWrite two sentences:\n\n1.","text_sha256":"6cd1814f3dd711d8844dfdd45ff951342214c92bc51ae20f3348297ca73496bd"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-990000-16-general_explanatory-watermarked","seed":990512,"text":" Use a single letter carrier or a single letter port. Avoid using multiple letter carrier systems. Use a single letter port. Avoid using a single letter port.\n\nIf you're a scientist, this might not be a great idea.\n\nWhy is it that I can't read two letter carriers?\n\nWhy","text_sha256":"62d81b591c717696731ed8f01b8dac5c61ff93b398081e73fc186700b80ac8c0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-990000-17-technical_explanation-unwatermarked","seed":990544,"text":"\n\nDealing with a problem that is not really a problem is not going to be a good idea. The problem can be something that is not obvious to the reader, but it is not something that is hard to understand. It is something that is not really obvious to the reader. If you want to understand what","text_sha256":"315c04a9ebeffaf3b49479012995a5be5f114b505f6e91560fddebf42f6ab58f"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-990000-17-technical_explanation-watermarked","seed":990544,"text":"\n\nRead more about replication in software experiments on\n\nCaveats & Limitations\n\nIt is not possible to perform all the tests you need to perform. However, in practice, there are several factors that can impact the performance of a replication.\n\nTest replication in a single environment. This may or","text_sha256":"905dbc61c52510579001ce4904c70c118157479565b0d6cd187f47771ae3bc99"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-990000-18-conversational_prose-unwatermarked","seed":990576,"text":"\n\nHow to get started\n\nStep 1. The most common ways to write about replication\n\n1. The best way to start is to use a standard or format.\n\n2. The best way to start is to find a set of documents and put them in a folder.\n\n3. The","text_sha256":"f03eef403202c0284ea1586179d5d69b9790216fbfb8ad774c7f2025ea22a6b4"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-990000-18-conversational_prose-watermarked","seed":990576,"text":" Use a simple description of the subject matter. Take notes, or take notes that are not in your hand. Be persistent and persistent with your explanations, without relying on a single sentence or even a single paragraph. Be sure to include a clear, clear, and concise explanation of what you are saying.\n\nIf you","text_sha256":"aaef6de73731b5504420aeceb6c87d3c8da8df49add3fbe565450072bce7a2c7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-990000-19-structured_instructional-unwatermarked","seed":990608,"text":" The second step is to calculate the correct result for your program by adding a letter to the end of the sentence. Then, you will see how your program performs for that exact period of time and the probability that the correct result will be found.\n\nFor each step, you need to figure out how well your program","text_sha256":"984728995be9b1e3b8222794c679d70e7e5e8452f5e05d472a8387a4a4082670"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-990000-19-structured_instructional-watermarked","seed":990608,"text":" Use a text-based text file that lists all your questions to get a feel for the results.\n\nIf you're interested in learning about a series of tests that are designed to be run with a test automation tool, the first step is to start with a test automation program that uses the following three steps:\n","text_sha256":"03cb6f6b4b83f6f8069ceeeba03f801a460d27f9297a3673649c6c07355694e9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-990000-20-general_explanatory-unwatermarked","seed":990640,"text":"\n\nUse a strong argument for the principle that there must be something inherently wrong with a system that fails replication tests. For example, when we talk about the possibility of a system that fails replication because of an internal \"error code,\" it may mean that a replication failure would be a big deal. But what if the","text_sha256":"b93db0c87f2037e93958402dadd6492e3c96191f1f6679aa765a4cc6e849a084"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-990000-20-general_explanatory-watermarked","seed":990640,"text":" For example, write a letter-carrier benchmark for a message, and write the following sentence:\n\nThe average response time is 5 seconds, which is a bit slower than the average response time for the next standard response.\n\nSo if you use a letter carrier benchmark to measure the response time of a message","text_sha256":"77c49148033577e2fde50d317ebc1ec1cdeb63d34446ad2cbf4597418e30a2c8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-990000-21-technical_explanation-unwatermarked","seed":990672,"text":"\n\nIntroduction\n\nCaveats\n\nThis paper is primarily concerned with test coverage. The primary goal is to describe the theoretical and practical ways in which the benchmark can be applied to software experiments.\n\nIt is therefore important to note that the implementation of this benchmark is relatively simple, so that the design will","text_sha256":"68a5b718727e50087633d2b84b28850bc6a70787ecc629107d193f2ca6fcb555"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-990000-21-technical_explanation-watermarked","seed":990672,"text":" For each of these problems you can perform a replication check, either on your own test system (using the Microsoft Sqlite version of Sqlite), or by using a replication protocol (such as RDBMS). The latter method is typically more efficient for testing and troubleshooting problems. If you use Sqlite","text_sha256":"56e15151b5f25715a2e92552f433344852b7f1a4324941d53dca3c037baa8add"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-990000-22-conversational_prose-unwatermarked","seed":990704,"text":"\n\nThis is the reason why I don't need to use a paper-based benchmark. I'm always able to add more details. A study done by Marko M. Gattuso of the University of Bologna shows that the ratio of replication to copy speed is a significant predictor of both quality of","text_sha256":"957af3f655ac8a0fce268d35023e17b76c9bb8e537a4c6830c152cde79498746"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-990000-22-conversational_prose-watermarked","seed":990704,"text":" Don't read the subject line if you don't want to be bothered. Don't ask yourself if you should be able to replicate the whole thing in minutes.\n\nThe point is that even if you don't have any real experience with replication, this might be a good idea.\n\nLet's talk about how","text_sha256":"4aca8abe0c3fe2ccb6fe4184420bd66320c319f1619ec0799b94a3233b65e5f0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-990000-23-structured_instructional-unwatermarked","seed":990736,"text":"\n\n\nFor example, when you write a letter carrier benchmark, the first step would be to write the first letter in a language that can be easily replicated, while the second step would be to write the second letter in a language that can be easily replicated.\n\nIn my case, the first step was to write","text_sha256":"0d38271911a83cb01696dd2a362673aa628e312f54d3e8f7141b1cda7cc9dbd2"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-990000-23-structured_instructional-watermarked","seed":990736,"text":"\n\n\nNote: This is not a full-page textbook.\n\n\nTable of Contents\n\nIntroduction to Mathematical Methods of Computer Science\n\nIntroduction to Programming Languages\n\nIntroduction to Computer Graphics\n\nIntroduction to Mathematical Algorithms\n\nIntroduction to Computer Graphics Techniques\n\nIntroduction to Mathematical Methods of","text_sha256":"6cf1a656b17ad0bbdfb465be70b9e85aaa0dba1cd739f4aceb218c255401007e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-990000-24-general_explanatory-unwatermarked","seed":990768,"text":"\n\nWrite a single sentence that does not require at least one paragraph of the paragraph to be explained.\n\nWrite an answer to a question that a researcher is answering.\n\nWrite a single sentence that does not require a description of the question.\n\nWrite a single sentence that does not require a description of","text_sha256":"be2f51f3a6d97a6a852f902d536705396a1bf5f34cb5b2dc48a4babd99d07279"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-990000-24-general_explanatory-watermarked","seed":990768,"text":" This helps to make the code easier to read and read. Don't make it hard for you to understand what a new letter carrier means and why.\n\nWrite concisely\n\nIn the previous example, we have written a simple case study in Java. Here, we have written the following code:\n\nclass","text_sha256":"54eae5e1545bf0d32307a4d77c825aac146ffdde4c204a354e2af8d9039ead99"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-990000-25-technical_explanation-unwatermarked","seed":990800,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Use a replication algorithm to replicate the test results.\n\nUse a replication algorithm to replicate the test results. Define the main idea, one failure mode and one validation check.\n\nDefine the main idea, one failure mode","text_sha256":"526118c1a634692ffc51bb6125e47bd9cddfa531fef8c6aabbb94a116d792640"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-990000-25-technical_explanation-watermarked","seed":990800,"text":" Create a test case for each of these three modes. For each mode, use a single test case (including the validation check) to replicate the results of the replication. A test case and validation check should be defined for the validation check. If the validation check does not support the replication mode, the test case can be","text_sha256":"f55059dc6c5da28a86afc7cd7b84a3e4617ed990b1b2205b8705bdc15de55e07"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-990000-26-conversational_prose-unwatermarked","seed":990832,"text":"\n\nWrite a letter to the editor\n\nWrite a letter to the editor\n\nGet an editor\n\nRead about the importance of letters and letters of recommendation\n\nFind a journal\n\nGet a journal\n\nRead about the importance of writing about letters\n\nMake your letter available for free\n\nCreate","text_sha256":"ba218dca56e2f27f8f268c1d76745c33225371d25b936912bdb8b64d4a5aa764"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-990000-26-conversational_prose-watermarked","seed":990832,"text":" Use a clear and concise way to explain why an email is valuable.\n\nIf you want to understand how the value of email can be transferred between email systems, you should be prepared to take a second look at how the value of email can be transferred between email systems.\n\nIn this chapter, I will show","text_sha256":"3474137984892fca487c44f64910c2dd10cf34dd4a0ae01cce9e3a5f2f91730e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-990000-27-structured_instructional-unwatermarked","seed":990864,"text":"\n\nThe next step is to test the following examples:\n\nA simple application of the first letter carrier benchmark: A 3-letter letter carrier benchmark.\n\nIn the first example, we'll test the implementation of the 2 letter carrier benchmark:\n\nA simple application of the 2 letter carrier benchmark: A","text_sha256":"8f59571bbbc5df97cc1f72c1633555d8e6bdf4b232abfda3f7f95db3add62019"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-990000-27-structured_instructional-watermarked","seed":990864,"text":"\n\nFigure 1: A test of a simple program for applying a three-step instruction in the same situation.\n\nFigure 2: A test of a simple program for applying a single step in the same situation.\n\nFigure 3: A test of a simple program for applying a single step in the same situation","text_sha256":"252b677061bd3e2e50fb8511e90fc6269443e3b6c9bc37b6bf96c22e17f720a1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-990000-28-general_explanatory-unwatermarked","seed":990896,"text":" Write it to be read.\n\nWhy do we need to write such a paragraph? The answer lies in the fact that letter carriers can quickly get ahead of their own peers with a given set of data and assumptions. The following are three possible reasons why letter carriers need to write their own paragraph.\n\nInbound","text_sha256":"06fb295ae7d6df35fba3497561b5aa29722b989e36fa8e5aa0bd0d2d1f447ee3"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-990000-28-general_explanatory-watermarked","seed":990896,"text":" Don't use a verb. Don't use any technical jargon.\n\n5. Use a single sentence when you are talking about one thing\n\nFor example:\n\nOne of the most important things you can do for your company is to have a good working relationship. Make sure that you tell your team, and","text_sha256":"ff1b7af9b600f3d5d4db739d2e8e3512a9c756b94266bf0ab2fd5a6c14fe7412"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-990000-29-technical_explanation-unwatermarked","seed":990928,"text":" Write a paper explaining why the failures are not reproducible and why they are not reproducible. Be sure to include the proof of concept in the paper, as well as the implementation details.\n\nIn the paper, you provide a brief overview of the problem with the replication algorithm. You provide a brief introduction to the","text_sha256":"1900e31a16536852890c16624255e39e1a86d9ba47ef193923a4a05fd5ec4768"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-990000-29-technical_explanation-watermarked","seed":990928,"text":" Define the main message of the study. Assume that replication is in progress and that the paper was accepted. Assume that the validation check is valid. Assume that the failure message is of the form \"my failure test failed.\" Test the replication of the paper. Check whether the validation check is valid, if","text_sha256":"a9c8b28e8742fa4c35e9850de19931b9aa2b571918ee469f98a19f5d773e2c9b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-990000-30-conversational_prose-unwatermarked","seed":990961,"text":"\n\nUse a single line of English to illustrate what your readers want to hear.\n\n\nUse an emphasis.\n\n\nUse an emphasis.\n\n\nUse a single sentence with multiple words.\n\nUse a single sentence with multiple words.\n\n\nUse an emphasis.\n\n\nUse a single sentence with multiple words","text_sha256":"06551b3b6eb3d9b2a71223a370d23f921b0f0e9f92b558b17ea7ae681627a3a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-990000-30-conversational_prose-watermarked","seed":990961,"text":"\n\nUse a single line of code and a couple of lines of a sentence to describe your solution. Use concise, clear, and concise, non-technical jargon.\n\nUse the phrase \"I know about the problems.\" This is the equivalent of \"why aren't you testing this?\" If you don't understand","text_sha256":"493db23ff2ec8f0bf1afee590beeb6737a4a9ff81e89d20c7e3d42218a009ff4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-990000-31-structured_instructional-unwatermarked","seed":990992,"text":" Write the original sentence in an empty text file. The final solution is to apply the same data to the same paper, and test for the same results. In each step, test the \"correct\" results by applying the same results to different papers and then apply the same result to the same paper. For example, I","text_sha256":"14f4a4d86e249fe748b1753d3012f9b25558c432ce4239c9c75c1ec256ab7887"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-990000-31-structured_instructional-watermarked","seed":990992,"text":" Use a series of simple instructions to apply replication. The first step of the sequence will be the most common, and this is where I have to start. Next, I'll look at what the original instructions are going to look like.\n\nYou can see how I put this all together, and if you don't","text_sha256":"4f8c778ecf032aa81a6bdb2c91add610301dde5ebd1b1a6d93e941c0a19c21eb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-990000-32-general_explanatory-unwatermarked","seed":991024,"text":" I suggest that you write it in prose as much as you can to ensure that you do not contradict yourself. Write this in a readable way so that it isn't confusing or confusing people.\n\nThe first paragraph, written in prose, is the first question in your book that you would have to ask yourself, to","text_sha256":"342c7933572d90d4039cc9479e4943cb66336619d28f67bcf64e890d70e107db"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-990000-32-general_explanatory-watermarked","seed":991024,"text":" Use a single letter carrier for all of your replication work.\n\nWhy letter carriers matter in technical work\n\nBecause the letter carriers are so important in the replication process, they are a critical part of the overall quality of replication. However, they're not always important, because they have the power to tell you,","text_sha256":"f3a91e74da4eee625697f1eb57331a99c0b662ae62395e8762830cc980b2e7b7"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-990000-33-technical_explanation-unwatermarked","seed":991056,"text":" Then provide a proof of concept for a replication in software experiments.\n\nIn some implementations of the Racket framework, the number of tests performed in a replication is set by the number of test conditions in the database. This is because the test conditions allow for a number of different test replicas, but it is important","text_sha256":"71d7be086fadab9caebbc5e6fc64bba1375450594cc40bf24d084ddbabb4337e"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-990000-33-technical_explanation-watermarked","seed":991056,"text":" Set all of these to a default value. If the test fails to reproduce an error, set the value to a new value.\n\nExample 3: Test replication of a single, unregistered test for the presence of a different name on the website.\n\nA single test will fail if the test name is too","text_sha256":"3990c3ddf68885f58d2d912c9f1ee1eda03be1aa9f7ad064f1c08a1ef1c217e3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-990000-34-conversational_prose-unwatermarked","seed":991088,"text":"\n\nExamine your network for patterns and understand what you are seeing.\n\nFind out which features are available and how often those features are used.\n\nWhen you write, you have to make sure you understand what you are telling yourself.\n\nThe following are some examples of good practices.\n\nWrite","text_sha256":"a69d63c8b3ae7a15fb183496a642ff6ed45567beebc2f1e6affe6fcfb148f877"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-990000-34-conversational_prose-watermarked","seed":991088,"text":" Use a good English-language editor to explain things in a readable way. Do not ask questions, and ask only the questions you have learned. You can get the question right in person if you have an English-language friend.\n\nIf you are already familiar with the above principles, please read the following paragraphs and","text_sha256":"41df29e565221810ef17a405081c46db90012ba9553168d500ec53cb2f2db525"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-990000-35-structured_instructional-unwatermarked","seed":991121,"text":"\n\n\nIn practice, writing a little bit of a short sentence might be quite helpful. A good way to do this is to write the following:\n\n\n1.\n\n\n2.\n\n\n3.\n\n\n4.\n\n\n5.\n\n\n6.\n\n\n7.\n\n\n8.\n\n\n","text_sha256":"a5ca5ce2d68ac4eb2959842e7fe46db0398607b1afe4c74f674c2e0e6f32d168"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-990000-35-structured_instructional-watermarked","seed":991121,"text":" Use a test condition to replicate the results of the test condition.\n\nThe original experiment is shown below. The following instruction replicates the basic replication in the present implementation.\n\nLFAR [1]: Read a short three-step instruction for applying letter carrier benchmark replication in an experiment. Use complete sentences and","text_sha256":"34671c4193ed5d169583655878292d838ca09a962efd1b5d7cede14ea0978c19"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-990000-36-general_explanatory-unwatermarked","seed":991152,"text":"\n\nWrite a paragraph that gives you some perspective about how different things are. Include a few examples.\n\nWrite an article that you would recommend to any of your peers.\n\nWrite a single sentence or sentence that will make you feel like you are working hard.\n\nDo something in the middle of a","text_sha256":"b815266e095fa8ebbc58626cb72f6c77faa367f0a5067a68f42eccd920efd526"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-990000-36-general_explanatory-watermarked","seed":991152,"text":"\n\n\"As a matter of policy, we cannot and should not make assumptions about the actual effect of different methods.\"\n\nHow long can we wait for replication?\n\nIt depends on the replication method.\n\nThe most common method is replication of the entire data set using the latest data from the original study","text_sha256":"86775f53efb8ec68cd7763bb665677448369785302566ceab728efa36d21cee3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-990000-37-technical_explanation-unwatermarked","seed":991184,"text":" Then start the experiment with the main idea, one failure mode, and one validation check. Then start the experiment with the main idea, one failure mode, and one validation check. Then start the experiment with the main idea, one failure mode, and one validation check. If the test fails, the implementation must fail with","text_sha256":"8f9429fa300e319a0a8041e339f7874a193232370f9e707095c1dca0e16fa0a2"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-990000-37-technical_explanation-watermarked","seed":991184,"text":" Use a few different approaches to replicate the same results. Use a separate protocol, such as a single-source replication protocol. The first step of replication is to determine if you have a single-source replication protocol for replication. If so, send the peer to the client to verify that you can replicate the results of a","text_sha256":"940450d1bcd1aca50bf42ca159498a12a4ab6c63bd6e1b71db4b8c4e0f0b5bd8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-990000-38-conversational_prose-unwatermarked","seed":991216,"text":"\n\n1. The reason that letters and letters of this nature are considered as different languages is not the same.\n\n2. The reason that you might never use a letter is because it is confusing.\n\n3. The reason that you might never use a letter is because you don't know the exact letter","text_sha256":"1e50ba7c6ca16f7907869bb445636ccb83614516e93c270a9016d069af568435"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-990000-38-conversational_prose-watermarked","seed":991216,"text":"\n\n1.1.1. What is the word \"revision\"?\n\nRevision is an important concept, which, for many purposes, is an exact measure of how well your product or service performs.\n\nSome companies, like e-commerce company eBay, have re-established standards for re-","text_sha256":"f9f608893c6fe08cc5efc6d50d8a2cd3b33da4e5b9a8726d57bb53a718440f9e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-990000-39-structured_instructional-unwatermarked","seed":991248,"text":"\n\nNote: A more detailed example of the steps described in the test program in Chapter 7 is shown in Figure 1A (above). The steps for a first step are based on two separate experiments. In the first one, a first word to be written is used, followed by a second word. The second word","text_sha256":"9b830c735f21b5aafbed12c99c6303dca2b7c8fc499d7ec0c923f6eca6f0a073"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-990000-39-structured_instructional-watermarked","seed":991248,"text":" Use a quick-reference grammar for each step.\n\nIn the test, we used a five-step procedure called two-step, four-step, and five-step replication. The three steps were the \"best\" of the three:\n\nThe first step was repeated four times, giving each step a","text_sha256":"5fbe0467bb31cc8f8f7e752f0f407e8e2a286bc4cdf301f360c1e0fe769d15fc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-990000-40-general_explanatory-unwatermarked","seed":991280,"text":" Don't just assume that your program is going to get a perfect result. Think about the consequences of poor performance for the program.\n\nThis article is about the letter carrier. For a more recent example of the letters letter carrier, see this article.\n\nContents show]\n\nOverview\n\nThe letter carrier","text_sha256":"d7aa01ec2c77412c024fdedd8bade6ba8ef84f23ded5f22fc8b92f2ef46b1b2f"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-990000-40-general_explanatory-watermarked","seed":991280,"text":" Don't forget that if you are writing an analysis, you need to read the paper and the paper itself.\n\nIf you are writing about the \"impact\" of your analysis, this paper will be extremely helpful in helping you to answer the question:\n\nWhy do we know that the replication of our data is","text_sha256":"bbb8e2cf212d6e0faf051c6609175d1e959b547910c487892be5b61ea98f51b9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-990000-41-technical_explanation-unwatermarked","seed":991312,"text":"\n\nThe main idea, one failure mode, and one validation check. Define a replication test. This will give the proof that the replication test failed.\n\nThis will give the proof that the replication test failed. Implement a benchmarking mechanism. This will measure the performance of each test. If a test fails","text_sha256":"5e1fe574000efb970a761381c4f54c7f86a34df1d3c33a72ddb43fa4d4d04b95"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-990000-41-technical_explanation-watermarked","seed":991312,"text":" Use a data source, a domain name, or a domain controller with a large number of domain names. The data is used to determine whether a given replication is successful or not. It is necessary to create a series of replication instances based on a set of criteria. The first replication is used for the initial validation. The","text_sha256":"da2c24823bae6eb3b6f2b1e4e0a175e5683941665dd630e10c36af01622663ac"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-990000-42-conversational_prose-unwatermarked","seed":991344,"text":"\n\nA note about the use of a specific word in a sentence: We have a question in the title, \"The most common questions on the Internet are: Which of the following do you think is a good idea?\", which might sound like a very vague question, and so on. We often assume that \"the","text_sha256":"6c6534c1b948d313a4abbb82a39ffd7690110a9873e00632e538b0078342ea83"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-990000-42-conversational_prose-watermarked","seed":991344,"text":" For example, in the beginning of a letter you might say: \"I just received the mail. I read all the important details here and it's awesome.\" Then go on to say: \"I've received a lot of mail and I would love to know what you guys are up to. I can read your answers","text_sha256":"d48d3bc333a5005b59480cdba65a93b16f61652b0b68a0ffaea6d716f5797383"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-990000-43-structured_instructional-unwatermarked","seed":991376,"text":"\n\nThe following two instructions illustrate the use of the short three-step test in an example project:\n\n1. Write a long statement to test the performance of two replication programs.\n\n2. Write a short statement to test the performance of an online journal.\n\n3. Write a short statement to","text_sha256":"cf2fd19597044771f571df1866aedb3388ed90d00693df1f8e848785af59f067"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-990000-43-structured_instructional-watermarked","seed":991376,"text":"\n\nThis test will be repeated for each of three years.\n\nTo test this test, you will need:\n\na\n\na\n\na\n\na\n\na\n\na\n\na\n\na\n\nA few things to note:\n\n1. No longer do I","text_sha256":"928f2bcc2cd3fa292574ed27b08107a35a4d912b014dc025545c831869335f56"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-990000-44-general_explanatory-unwatermarked","seed":991408,"text":" This will make it clear why the results are important.\n\nRead the full paper.\n\nThis is my first attempt at explaining the design of a random number generator that combines randomization, randomness and noise. I've also made some progress in making it more flexible. I want to give a detailed explanation of","text_sha256":"b919b1e56d317ff46b92dc580a60cdca90698a6f358603e162245ad708a51558"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-990000-44-general_explanatory-watermarked","seed":991408,"text":" Use a good dictionary to describe the definition of \"replication\": For example, if a single line of code is repeated over many bytes, it is hard to know which is which. Also, it is impossible to know which is which. If a word is repeated over a lot of bytes, it is hard to know","text_sha256":"04850cc3dc90bf37eb71de2872d704e71081a05d5b3d77c584026bef43cd93ba"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-990000-45-technical_explanation-unwatermarked","seed":991440,"text":" Create a sample for each test to be tested. Use a benchmark for all tests, for each individual test. This means the test should be reproducible on the same CPU, or with different cores, and not on an isolated system. A test for the entire system should be able to replicate on any of its cores,","text_sha256":"6a5e0598927ae9b820c83195dbf88d62d466a7d308301f63b4c1f04cbd5da70b"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-990000-45-technical_explanation-watermarked","seed":991440,"text":" Create a log file that lists all the steps that each test must perform, with a timestamp for the first failure mode and a timestamp for the second failure mode.\n\nExample 3: Test replication of code, tests and libraries with each step of the test.\n\nThe first test is a new code generation test,","text_sha256":"c90022b44ea5786608ce77fe7e084d67d4509325634e53ab8fee7dafa611e596"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-990000-46-conversational_prose-unwatermarked","seed":991472,"text":"\n\nDo I need to know the actual results of the replication process?\n\nNo.\n\nWhy do I need to know the actual results of the replication process?\n\nThe answer is simple. Because it's a part of the process that keeps you up-to-date on all the latest news,","text_sha256":"c9f402768d4a9ec8f6391fce18aaf6cf7d3610c1613393a415d75ce68d940039"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-990000-46-conversational_prose-watermarked","seed":991472,"text":" Use a simple but effective set of words, and then use common sense and common sense and common sense and common sense and common sense to summarize your points and explain what you are saying.\n\nThe most important reason for using a replication strategy is simple: The purpose of the replication is to reduce the risk of errors,","text_sha256":"28e62a4887440285f5e0f14667587a1902261302fa6cc21fa98dab13831b5b23"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-990000-47-structured_instructional-unwatermarked","seed":991504,"text":"\n\nIn the example above, the first two steps are the same, but the third step is different.\n\nThe program looks like this:\n\nStep 2: Prepare the first half of the sample.\n\nThe first half of the sample is a \"standard\" set of sentences. The second half of","text_sha256":"7b6168768927cfbb02d5623d9ec421a318049a867e6eca3c76ee8b875027e427"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-990000-47-structured_instructional-watermarked","seed":991504,"text":" This means a set of tests will be performed by the first test.\n\nThe next step is to use a test that will replicate the letters in the test. Use a sequence of identical letters and apply each one to a new message.\n\nFigure 9\n\nExample 3: Test for the letters that match\n","text_sha256":"2d2eb46189aa471058fbcaeb1748058b7f8c4e89a59ed00e765c36e9e54cd484"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-990000-48-general_explanatory-unwatermarked","seed":991536,"text":" If the first paragraph is meaningless, add a second paragraph. If it is significant, remove it.\n\nIf you have a problem with a response, send a note to help address it.\n\nUse the full text of the paper as your reference.\n\nA final note can be sent to your researcher.","text_sha256":"124284841522fcca75962e2ea73458b2b4dbeb7dd004c6fbee5c569a772869cb"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-990000-48-general_explanatory-watermarked","seed":991536,"text":" Use a single sentence or sentence with some clarity.\n\nAvoid repetition, often with the assumption that you know exactly how to do it. Write a single sentence or sentence with some clarity. Do not repeat what you know. Write a single sentence or sentence with some clarity.\n\nAvoid repetitiveness, especially in light","text_sha256":"bc6ec7f569f54814fee5c701ebd8aee9095c9ec8868964f2c6efbc90a54a73b3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-990000-49-technical_explanation-unwatermarked","seed":991568,"text":" Make sure it does not lead to a failure at the other end.\n\n5. If it looks like it will fail to replicate, then write it down and write it down and check it out later. The problem is that this would be a big pain to do, as it requires multiple copies of the system to","text_sha256":"207b6cf07efbfc15e581e7232b97177d15b2b5c9deab0c0a21fffec4a8f32b22"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-990000-49-technical_explanation-watermarked","seed":991568,"text":" Make sure the code is valid (you can't use the same code twice). This is also useful for testing code before it is submitted for review.\n\n1.1.1. Test the replication of software experiments\n\nThe easiest way to test a software experiment is to run it on a different computer. You","text_sha256":"adcda5b279cea6f6a2c7236bee4c8cfffa2f4d771d8e90361f9a3c43cd78b7bb"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-990000-50-conversational_prose-unwatermarked","seed":991600,"text":" Write with the same level of clarity as your source.\n\nDo not make a big deal of it. Remember, you can't change your copy. You don't need to change it. You can change it if you want. But if you are writing your letter to your colleague's letter carrier, or to the","text_sha256":"aa75c08d9f193eacf63268a8c6bcfa91190e73cda74efeadd511544fa2f7331c"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-990000-50-conversational_prose-watermarked","seed":991600,"text":" Write with an appropriate vocabulary. If you can't speak well, try to keep it as simple as possible.\n\n2. Identify your target audience.\n\nIn general, you're better off using a broad range of different types of information to achieve your goal.\n\nThis can be a simple query or","text_sha256":"9b7b991a9dc17e0dd215539fd39c6353db13875c8c71aae621f63ae6c50428c1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-990000-51-structured_instructional-unwatermarked","seed":991632,"text":" The algorithm can be used to test the results of a small number of different solutions.\n\nExample 1: Using a random number generator\n\nUse a random number generator to apply the following test for the following problem:\n\nProblem 1: Write a short three-step instruction for applying letter carrier benchmark replication in an","text_sha256":"32a16f75b50a212152490cea04eed1e6bdd69b3d5bfb32756d6fa3dbe4548fad"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-990000-51-structured_instructional-watermarked","seed":991632,"text":" You can also use a two-step method to replicate the test in a single sentence. The two step approach is most useful if you want to simulate a specific part of your test. You can also use two-step methods when you want to replicate a test for multiple parts. For example, if you're testing your","text_sha256":"34721533becaa987147d4c09d264cda23939298096c6ffa3f158c1b14311b310"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-990000-52-general_explanatory-unwatermarked","seed":991664,"text":"\n\nWrite your research in English in a non-technical language, preferably in a language that is common to your field of study.\n\nMake sure you check whether the study is completed in a formal way. If the study is not, it means the work was not conducted, and you have not published a paper","text_sha256":"6a07ba8e06bf0a082f000c8541985af38867b54457d430a6558f07de83a58f99"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-990000-52-general_explanatory-watermarked","seed":991664,"text":" For instance, let's say you want to test the replication of your test paper for a new paper. In your paper, you can get a copy of the paper by publishing it in peer-reviewed journals and asking readers to share it with you in their own journal. In order to make a paper publish in a peer","text_sha256":"00b7dcd5b81dadd175d8902e34ce64df2cfacfdcd6d3e73c05365cf68be5f720"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-990000-53-technical_explanation-unwatermarked","seed":991696,"text":" Include a description of the main idea, one failure mode, and one validation check. Include a description of the main idea, one failure mode, and one validation check. Include a description of the main idea, one failure mode, and one validation check. Include a description of the main idea, one failure mode, and","text_sha256":"3bd5e324fc1227979e59f690e7f2c124988141f15c70ebda9ca17577a65febf5"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-990000-53-technical_explanation-watermarked","seed":991696,"text":" Use a simple, single-line test code as your reference.\n\nIn this example, we'll examine a test program that produces a message to a recipient with an email address. The program does not use SSL or any other encryption. The message is generated from a C program, with a single-line test code","text_sha256":"37968d8dd563c3db3150a2503de0098686a71cffe81f95f0e8836836d4ef2967"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-990000-54-conversational_prose-unwatermarked","seed":991728,"text":" (If you're having difficulty, try using a sentence that actually explains why your query is valid and is consistent with your expectations.)\n\nConsider what the \"problem\" is in relation to your query. First, consider what the problem is in relation to the \"reason\" of your query. Then consider the \"response","text_sha256":"c1bdf9f3843c63088e30e2e22371eaeb000be9c0b1fafb63b370ad463d998ad7"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-990000-54-conversational_prose-watermarked","seed":991728,"text":" (There are more examples than there are problems!)\n\n\nA note on the timing of a review. The review usually takes up 2 to 5 minutes. In some cases, such as those where you can't wait long to read, you might decide you need to review a given story before you can write the full review","text_sha256":"49afb8239828ed37e4d5f27c1aaac11c0756ae74ceffb388e52e720a1399ceef"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-990000-55-structured_instructional-unwatermarked","seed":991760,"text":"\n\nIn the next section, we'll learn how to write a short three-step instruction for applying letter carrier benchmark replication in an experiment. Use complete sentences and keep each step concrete. In this section, we'll also write a short two-step instruction for applying letter carrier benchmark replication in an experiment.\n\n","text_sha256":"69cae83be9ac97032e0ede1b77901f3d9d9178824d371990320396690f624f9c"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-990000-55-structured_instructional-watermarked","seed":991760,"text":" Use a single sentence or two to indicate the time of the evaluation.\n\nA single-step test is a set of sentences, the final statement. The test is then repeated one-to-one, to see how well a sentence does.\n\nTwo-step tests are an attempt to find the shortest possible","text_sha256":"08467ab76448ed29caf46c9e8510a4ccd04c4cf9ff3e5ca6ee1d0cae97741df8"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-990000-56-general_explanatory-unwatermarked","seed":991794,"text":" Do it with full sentences.\n\nGet an A for each benchmark.\n\nWrite a simple summary.\n\nWrite a simple summary and a summary.\n\nFind out if the benchmark works for you. Write something about a simple benchmark and a summary.\n\nWrite a summary without a list.\n\n","text_sha256":"f4b56fa61b02b2324a4f4b278e69fb068d3cdfbf3e53d0a1f2b47c02c8aedea0"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-990000-56-general_explanatory-watermarked","seed":991794,"text":" Use a simple explanation or a few more examples (if you're interested) to explain why you need to write this paragraph. Write a single sentence or several paragraphs. A single paragraph should not include more than one sentence. This is a simple explanation and a single paragraph should not include more than one sentence. This is a","text_sha256":"5e5d88578d7b841a714ee844ab607d00e98fbe303fc12691b74c8a716a634b44"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-990000-57-technical_explanation-unwatermarked","seed":991824,"text":"\n\nThe original paper\n\nA paper of this kind is written for a conference in Finland and published in Journal of Experimental and Applied Computing. This paper has been downloaded and is available for free from here. The original paper was published at the end of January 2014 in a paper titled, \"The Impact of Standardization","text_sha256":"f42459b7530d5493da41db879f2cfda32badce17003af56a181e3eb6aeb7e648"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-990000-57-technical_explanation-watermarked","seed":991824,"text":" Create a database with the correct parameters. Ensure that all data points in the database match a specific value for the replication protocol.\n\nDefine the main idea, one failure mode, and one validation check. Create a database with the correct parameters. Ensure that all data points in the database match a specific value for the","text_sha256":"7955cc0fae63af609d2ad9f7fca70964a2187aaa251417e734361db0f3795f0c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-990000-58-conversational_prose-unwatermarked","seed":991857,"text":"\n\nAs you might imagine, the reason I wrote this post was to let you know about some of the things I'm working on for my next book, The Myth of Failure: How Failure Can Make You Great. In this post, I'll explain how you can take a step back and look at the science behind","text_sha256":"8a30af0fc790a33adb48e82e16b124700c06d1216fd6bc2e181774885fe711f8"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-990000-58-conversational_prose-watermarked","seed":991857,"text":" Use a lot of descriptive words in sentences and in front of or in front of an audience, and keep the sentence short. If you can't convince a friend to read your essay, use a concise and clear, relevant, concise, and succinct, long paragraph.\n\nThis doesn't mean you're going to be","text_sha256":"9d3546caa8dbee5237495239016ad39e3cd4ed30b745debfe5f7d7ff267636ba"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-990000-59-structured_instructional-unwatermarked","seed":991888,"text":"\n\nThe next step was to identify the best practice for using the same data for each step. We chose the data that had the most similarity to a known test set, and the same data for all steps. The results are shown in Figure 1.\n\nFigure 1. Differential Comparison Between Sample Test and Test","text_sha256":"6d00b53b2cf9242b873ef24baa6f2c5bc406f272a38fc7cb9c566dab0cb19c2b"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-990000-59-structured_instructional-watermarked","seed":991888,"text":" Use a simple-to-use C# and JavaScript program to test the program for the results.\n\nIf you want to learn more about how to use this method, check out this article.\n\nHow to use the Microsoft Excel Data Execution Service\n\nUsing Excel for data analysis is easy, even if you","text_sha256":"b8ed25ec948351f0abc13cd21c2a0b0a01ad4b6596f735e2c2bf604122ca6fee"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-990000-60-general_explanatory-unwatermarked","seed":991920,"text":" Try not to write a single sentence. It will be difficult to get the whole thing to work in a timely way.\n\nDon't write a single sentence. It will be difficult to get the whole thing to work in a timely way. Don't write a sentence with the following format. You should write a small","text_sha256":"e108c19e254769a430d2fb92b717af4aabc500631cd542f0e99eadad49c9f7a9"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-990000-60-general_explanatory-watermarked","seed":991920,"text":" Try this one first to make it readable.\n\nThe goal is to make this paper more readable.\n\nFor more information on the paper, see the PDF or text file provided with the paper.\n\nAcknowledgments\n\nThe authors thank John D. Wilson, Jr., David W. Johnson, and Peter","text_sha256":"47eae39e1fe6b25235614b3139cebc645f3b4f2d881fcbac55ec6b62a8bf0694"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-990000-61-technical_explanation-unwatermarked","seed":991952,"text":"\n\nWrite an answer to the question:\n\nThis question does not have a clear answer, but you can try one of the following questions on this question page, or you can write a quick answer.\n\nIn the answers you write in this question, you should have a list of basic topics that must be","text_sha256":"d8a5cd5f45e46eaa6647bc5eb33986cc0ab8d1a16fd6458ee84916dff57ec5ba"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-990000-61-technical_explanation-watermarked","seed":991952,"text":" Create a database with the following parameters (see Figure 1):\n\nData Source = DataSource.new (database_name => \"example.com\")\n\nData Provider = Data Provider.new(database_name => \"example.com\")\n\nData Publisher = Data Publisher.new(database_name =>","text_sha256":"5a76ab07a1cea39646f0f86dbbcbb4ec628b157fd52297a68633b54e9b90da58"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-990000-62-conversational_prose-unwatermarked","seed":991985,"text":"\n\nThe first two sections of this blog post explain how to use simple conversational writing in order to understand the concept of \"real-time replication.\"\n\nWhen did we first learn that we can easily replicate our business from a script to an actual copy of a website?\n\nThe first section of this blog","text_sha256":"a3feada4877644351bb85e6475dad8f44ed4c24b966cf4df97d0bcc5a36843ae"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-990000-62-conversational_prose-watermarked","seed":991985,"text":"\n\nAs soon as a colleague asks, \"why are you writing this letter?\"\n\nThis is a great tool to learn your customer's mindset about email, how to handle this email, and what you can do to get the most out of your emails.\n\nSo if you're thinking about writing this letter","text_sha256":"3deafb30496ad190a6a2b05f3fd1c9b40f56882e0ae5fef775cc8ae12d19b90d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-990000-63-structured_instructional-unwatermarked","seed":992016,"text":"\n\nStep 2. Create a test case for each of the first four steps.\n\nStep 3. Create an example of an application that can be run within three minutes or less.\n\nStep 4. Use the test case.\n\nStep 5. Use the test case to test the replication.\n\n","text_sha256":"ed39778fe5f3d44db35e606d705d0ad1dab37d6ea76289006f0995bff95c621d"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-990000-63-structured_instructional-watermarked","seed":992016,"text":"\n\nThis approach will be called \"Test\" by the authors, and is described here.\n\nA \"Test\" is an application for testing the reliability of a program in a test environment. The program should be tested against the program's test data. 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carrier benchmark replication","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-letter-system-benchmark-2026-08-26/README.md b/evidence/cycle8-letter-system-benchmark-2026-08-26/README.md new file mode 100644 index 00000000..64717fb8 --- /dev/null +++ b/evidence/cycle8-letter-system-benchmark-2026-08-26/README.md @@ -0,0 +1,119 @@ +# Cycle 8 letter-x1 system benchmark + +Measurement of the current development mechanism `u034f-letter-x1`. Not confirmation. Not a freeze. Not product authorization. Public CLI remains empty. + +Do not collapse this fresh **0/128** into the earlier experimental **0/192**. The 0/192 tally is 128 seen-corpus diagnostic plus 64 independent exploratory pairs on seeds `930000` / `940000` / `970000`. This benchmark uses new seeds `980000` and `990000`, reserved before generation. + +Formal confirmation readiness: `NOT_READY`. Closest fresh letter-x1 score is 0.554066 versus threshold 0.557099 (gap 0.003032). + +## Scorecard + +| Axis | Result | Label | +| --- | --- | --- | +| Fresh letter-x1 raw WM | **0/128** (0/64 + 0/64) | `HYPOTHESIS` | +| Fresh letter-x1 raw UW | **0/128** | `HYPOTHESIS` | +| Fresh letter-x1 max score | 0.554066 | `HYPOTHESIS` | +| Fresh letter-x1 min gap below threshold | 0.003032 | `HYPOTHESIS` | +| Fresh space-x1 on the same corpora | **1/128** | `HYPOTHESIS` | +| Experimental letter-x1 0/192 | **0/192** (128 seen + 64 independent) | `HYPOTHESIS` | +| Frozen historical space-x1 930000+940000 | **1/128** | `HYPOTHESIS` | +| Fixture visible projection | **21/21** | `VERIFIED` | +| Chromium `pre` / textarea / contenteditable | pixel-equal on measured fixtures | `VERIFIED` | +| Safari / terminal pixels | not measured here | `UNKNOWN` | +| Frozen sanitizers vs raw letter detections | match | `VERIFIED` | +| Mn-strip / default-ignorable-strip | remove U+034F | `REJECTED` durability | +| UTF-8 file, CLI stdin, `cat`, xclip, NFC/NFKC/Cf-strip | survive | `VERIFIED` | +| Ordinary vim save | appends trailing newline | `REJECTED` exact bytes | +| vim `binary noeol` | exact bytes | `VERIFIED` | +| Latin-1 | cannot encode U+034F | `REJECTED` | +| Protected spans | **21/21** | `VERIFIED` | +| Non-ASCII input | fail closed | `VERIFIED` | +| Mean insertions (fresh, WM+UW rows) | 186.02 | diagnostic | +| Mean UTF-8 overhead | 372.03 bytes | diagnostic | +| Mean token-count delta | 515.55 | diagnostic | +| Max transformed token count | 608 / 1024 | below GPT-2 context | +| Cap-192 binds | 106 / 128 fresh WM rows | diagnostic | +| Short / medium / long transform | 16 ms / 595 ms / 1482 ms | `SOURCE-BOUND` | +| Deterministic output | 5/5 identical SHA-256 | `VERIFIED` | +| Linux this host | measured | `VERIFIED` | +| macOS / Windows letter transform | CI covers CLI identity only | `SOURCE-BOUND` | + +See `scorecard.md` and `scorecard.json` for the machine-readable copy. Detector provenance is in `environment.json`. Per-corpus distributions are in `detector-stats.json`. + +## Fresh detector corpora + +Protocol: identity vs space-x1 vs letter-x1, frozen sanitizer matrix including NFC, CPU, no CUDA, detector-blind. + +| Seed | Role | Letter raw WM | Space raw WM | Identity WM | Letter max | Closest letter gap | +| --- | --- | ---: | ---: | ---: | ---: | ---: | +| 980000 | primary, reserved before generation | 0/64 | 0/64 | 62/64 | 0.554066 | 0.003032 | +| 990000 | independent replication | 0/64 | 1/64 | 64/64 | 0.527273 | 0.029826 | +| **Combined** | two independent n=64 corpora | **0/128** | **1/128** | 126/128 | 0.554066 | 0.003032 | + +Closest letter residual geometry only: `cycle8-980000-04-general_explanatory-watermarked`, 159 insertions, score 0.554066. Residual text was not inspected to write lexical rules. + +Space residual geometry only on the fresh pair: `cycle8-990000-14-conversational_prose-watermarked`, 18 insertions, score 0.570619. Do not rewrite frozen `930000` space-x1 1/64 as zero. + +Per-domain fresh letter-x1 (32 watermarked rows per domain): + +| Domain | detected | max score | +| --- | ---: | ---: | +| conversational_prose | 0/32 | 0.527273 | +| general_explanatory | 0/32 | 0.554066 | +| structured_instructional | 0/32 | 0.514108 | +| technical_explanation | 0/32 | 0.539885 | + +No fresh domain is hidden inside the aggregate. The thin margin is in general explanatory prose on seed `980000`. + +## Experimental 0/192 (not this benchmark's fresh claim) + +| Corpus | Kind | Letter raw WM | +| --- | --- | ---: | +| 930000 n=64 | seen diagnostic | 0/64 | +| 940000 n=64 | seen diagnostic | 0/64 | +| 970000 n=64 | independent exploratory | 0/64 | +| **Total** | **128 seen + 64 independent** | **0/192** | + +## What beats what + +On the same frozen detector and the same fresh corpora, letter-x1 is 0/128 and space-x1 is 1/128. That is an apples-to-apples scientific improvement, still `HYPOTHESIS`. + +Historical methods that change visible text remain `PRODUCT_DISQUALIFIED` even when their detector counts looked strong: + +| Mechanism | Detector snapshot | Product | +| --- | --- | --- | +| Cycle 4 exact-survival | 5/192 | `PRODUCT_DISQUALIFIED` visible edits | +| Cycle 6 U+0020 runs | 7/192 formal | `PRODUCT_DISQUALIFIED` visible spacing | +| Cycle 7 durable visible edits | stage research | `PRODUCT_DISQUALIFIED` | +| U+200C space-x1 | tokenizer-disruptive | `REJECTED` (Cf-strip) | +| U+034F space-x1 | frozen 1/128; fresh 1/128 | `HYPOTHESIS`, not authorized | +| U+034F letter-x1 | fresh 0/128; experimental 0/192 | `HYPOTHESIS`, not authorized | + +Identity / pristine watermarked detections on the fresh corpora remain high (62/64 and 64/64). The transform is doing the work. + +## What breaks it + +- Mn-strip and default-ignorable-strip remove U+034F. +- Latin-1 cannot roundtrip U+034F. +- Ordinary vim `wq` appends a trailing newline (carrier codepoints still present; visible projection then includes that extra newline). +- Exact-byte search for substrings such as `do not` can miss after intra-word insertion even though the visible projection still contains `do not`. +- Selected-site cap 192 binds on 106 of 128 fresh watermarked rows. Token expansion is large (mean delta about 516 tokens) but stayed under GPT-2's 1024-token context (max 608). +- Applications that strip nonspacing marks or default-ignorables destroy the carrier. NFC, NFKC, Cf-strip, and whitespace-collapse-v1 do not. + +Pearson correlation between insertion count and detector score is weak and sign-unstable across corpora. Insertion count is diagnostic only. It is not used for per-sample runtime selection. + +## Runtime + +This 4-core Linux CPU host, Python 3.12.3, torch 2.13.0+cpu: + +- short (15 chars): about 16 ms/transform +- medium (308 chars): about 595 ms/transform +- long (616 chars): about 1482 ms/transform + +Letter-x1 is not a cheap streaming transform on long ASCII. Product CLI still fail-closes, so installed `FuckMark` latency remains the identity path. + +## Ready for formal confirmation? + +No. `NOT_READY`. + +Reasons: the fresh 0/128 has only 0.003 margin on seed `980000`; experimental 0/192 is mostly seen diagnostic; letter-x1 is not frozen; `950000` is ungenerated; Mn-strip removes the carrier; this file is a measurement report, not a confirmation protocol. diff --git a/evidence/cycle8-letter-system-benchmark-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-letter-system-benchmark-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..f11b6655 --- /dev/null +++ b/evidence/cycle8-letter-system-benchmark-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,7 @@ +7200684ee544f617a62937f6d8c05a1fc68da75bc4ca7c7fddacb99d98021d19 environment.json +d6675c6121c3acb7541e1ca990a24a6dffd7d30ff06605e3c02633080d2c4bb1 local-system.json +5badbd7d4ff1b044ce6f25eec647c77b824fe609342948a3f17dfc60a5752e4a detector-stats.json +db2c024a6f1940bab6178d41294475e0161c0f0d94d7b2020a086c186073d9f1 scorecard.json +2f13970c44bb6bb3ea006e76336f287728a48407bc9082d1d60c1d20ff7c846a scorecard.md +adc498a5356fe9b6c376048d0bd45570e797738c12d80a7b14d232ab23cb1119 methodology.md +3653118cd2ad9d19cb05bbe111b4573a5cb31f9f95f64596d1826e07dea28396 README.md diff --git a/evidence/cycle8-letter-system-benchmark-2026-08-26/detector-stats.json b/evidence/cycle8-letter-system-benchmark-2026-08-26/detector-stats.json new file mode 100644 index 00000000..1fdba691 --- /dev/null +++ b/evidence/cycle8-letter-system-benchmark-2026-08-26/detector-stats.json @@ -0,0 +1 @@ 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benchmark methodology + +Identity: `cycle8-letter-system-benchmark-v1`. Measurement, not confirmation. Letter-x1 is not in `release_transform_registry()`. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. + +This is not a preregistered formal confirmation protocol. It does not consume confirmation-reserve seeds. + +## Mechanism under test + +Development mechanism `u034f-letter-x1` as implemented on the measured commit: U+034F after ASCII letters, visible-word invariants, quote-interior policy `quote-visible-carrier-v1`, detector-blind selected-site cap 192. The algorithm is not retuned during this benchmark. + +Space-x1 remains a comparison baseline on the same detector configuration and the same fresh corpora. Cycle 6 spacing and Cycle 7 visible edits are `PRODUCT_DISQUALIFIED` baselines. U+200C space-x1 is `REJECTED` as a durable product mechanism (Cf-strip restores the source). + +Public CLI `process_text` remains identity. `RELEASE_CLI_ALGORITHM_VERSION` remains `release-cli-v4`. + +## Detector protocol + +Frozen open GPT-2 / Hugging Face SynthID Weighted Mean: + +- model `openai-community/gpt2` +- revision `607a30d783dfa663caf39e06633721c8d4cfcd7e` +- implementation `cycle8_hf` / `cycle8-letter-system-benchmark-detector-v1` +- threshold `0.5570987654320988` +- comparison `score >= threshold` +- detector-blind selection (`detector_access_used_for_selection=false`) +- no watermark secret +- FPR assumption: frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold + +Sanitizer matrix (frozen): `raw`, `nfc`, `nfkc`, `cf_strip`, `nfkc_cf_strip`, `ws_collapse`, `ws_collapse_nfkc_cf_strip`. + +Stress sanitizers (benchmark-only, not frozen): `mn_strip`, `default_ignorable_strip`, `nfkd`. + +## Seeds + +Reserved in `global-seed-ledger-v1` before generation: + +| Seed | Role | Topic | Pairs | Use | +| --- | --- | --- | ---: | --- | +| 980000 | letter_benchmark_primary | `letter carrier system benchmark` | 64 | fresh unseen benchmark | +| 990000 | letter_benchmark_replication | `letter carrier benchmark replication` | 64 | independent fresh replication | + +Generation uses the frozen Cycle 8 four-domain template cycle (`general_explanatory`, `technical_explanation`, `conversational_prose`, `structured_instructional`), 16 pairs per domain per corpus. + +Do not treat `890000`..`970000` as unseen benchmark data. Previous letter-x1 detector artifacts (`930000`, `940000`, `970000`) are reported as experimental / SOURCE-BOUND development evidence. The experimental 0/192 split (128 seen + 64 independent) is not rewritten and is not this benchmark's fresh 0/128. + +Confirmation reserves `830000` / `840000` / `850000` are unused and uninspected. `950000` remains ungenerated. + +## Local system arms + +22 fixtures cover ordinary prose, quotes, punctuation, newlines, longer paragraphs, sparse short text, and machine-sensitive spans (URL, email, path, code, shell, numbers/dates, markdown destination, hash). Product-domain rejection is checked on non-ASCII input. + +Every product-eligible fixture row requires exact `project_visible_v1` equality plus original visible characters, visible spaces, line breaks, punctuation, and character order. Machine-span identity is checked for URLs, emails, paths, code, numbers, dates, hashes, and markdown destinations. + +Rendering uses Chromium headless PNG byte equality on `pre` (short paragraph and quote-heavy), plus `textarea` and `contenteditable` on the short paragraph. Safari/WebKit is UNKNOWN on Linux. Terminal pixels are UNKNOWN; display-column width is measured. + +Roundtrips: UTF-8 file, CLI stdin identity, `cat` pipe, xclip clipboard, vim `binary noeol`, ordinary vim `wq`, NFC/NFKC/Cf-strip/whitespace-collapse. Latin-1 is expected to fail. Ordinary vim `wq` is expected to append a trailing newline. + +Performance uses `time.perf_counter` on short (`I do not agree.`), medium (4 copies of the Cycle 8 GPT-2 fixture sentence), and long (8 copies). Determinism repeats the same source five times and compares SHA-256. + +Letter-x1 apply cost grows with candidate count because each selected site is trial-validated against visible-word invariants. Long-paragraph fixtures are capped so local measurement finishes; corpus rows that hit the 192 cap are reported from detector artifacts rather than by applying letter-x1 to multi-thousand-character strings in this local pack. + +## Reproduce + +Detector (CPU, quiet host, about 9 minutes per n=64 three-arm corpus): + +```text +python3 -m fuckmark.cycle8_benchmark_hf --device cpu --seed-base 980000 --pair-count 64 +python3 -m fuckmark.cycle8_benchmark_hf --device cpu --seed-base 990000 --pair-count 64 +``` + +Local system plus scorecard: + +```text +python3 -m fuckmark.cycle8_benchmark --output-dir evidence/cycle8-letter-system-benchmark-2026-08-26 +``` + +`--skip-local` rebuilds detector-stats and the scorecard from committed local-system.json without re-running transforms or Chromium. + +## Labels + +`VERIFIED`, `SOURCE-BOUND`, `HYPOTHESIS`, `UNKNOWN`, `REJECTED`, `PRODUCT_DISQUALIFIED`, `HISTORICAL_ONLY`. + +This benchmark does not authorize product promotion and is not a frozen 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benchmark","transformed_token_count_max":251,"utf8_overhead_mean":89.859375,"visible_pass":"128/128"},"990000":{"artifact_hash":"b30cbb3f53425d40d1f8a15e556b9072b6ab37a6c799a9e078ea5e6f03f74f04","cap_bind_watermarked":0,"closest":{"detected":true,"domain":"conversational_prose","gap_below_threshold":-0.013520470404528417,"inserted_count":18,"sample_id":"cycle8-990000-14-conversational_prose-watermarked","score":0.5706192358366272},"domains":[{"domain":"conversational_prose","max":0.5706192358366272,"raw_detected":1,"watermarked_n":16},{"domain":"general_explanatory","max":0.5419657097288676,"raw_detected":0,"watermarked_n":16},{"domain":"structured_instructional","max":0.5407852105965314,"raw_detected":0,"watermarked_n":16},{"domain":"technical_explanation","max":0.5330906467270103,"raw_detected":0,"watermarked_n":16}],"inserted_count_mean":47.4140625,"max":0.5706192358366272,"max_gap_below_threshold":-0.013520470404528417,"mean":0.5097411025566468,"median":0.5100781103413836,"min":0.46298349347129836,"p90":0.5325946288773715,"p95":0.5402106058737579,"pair_count":64,"pristine_watermarked_detected":64,"raw_unwatermarked_detected":0,"raw_watermarked_detected":1,"sanitizers":{"cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"nfc":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"nfkc":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"nfkc_cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"raw":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"ws_collapse":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1},"ws_collapse_nfkc_cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":1}},"seed_base":990000,"stdev":0.0182193024741452,"token_count_delta_mean":149.3515625,"topic":"letter carrier benchmark replication","transformed_token_count_max":255,"utf8_overhead_mean":94.828125,"visible_pass":"128/128"},"label":"HYPOTHESIS","pairs":128,"rate":"1/128","raw_watermarked_detected":1},"space_x1_frozen_historical":{"930000_n64":"1/64","940000_n64":"0/64","combined":"1/128","label":"HYPOTHESIS"}},"efficiency":{"approaches_gpt2_context_limit":false,"fresh_cap_bind_watermarked":106,"fresh_inserted_count_mean":186.015625,"fresh_token_count_delta_mean":515.546875,"fresh_transformed_token_count_max":608,"fresh_utf8_overhead_mean":372.03125,"letter_cap":192},"environment_hash":"387840a897c5490145929b51a20213bc8e0015833b1f2ebeac2ea22c33c514c4","evidence_label":"HYPOTHESIS","formal_confirmation_readiness":{"label":"NOT_READY","ready":false,"reasons":["fresh letter-x1 980000 max score sits 0.003 below the frozen threshold","experimental 0/192 is 128 seen diagnostic plus 64 independent, not a preregistered confirmation protocol","letter-x1 is not frozen and is not in release_transform_registry()","seed 950000 remains ungenerated","Mn-strip and default-ignorable-strip remove U+034F","this benchmark is measurement, not confirmation"]},"freeze":false,"local_artifact_hash":"df56442d8408e32e8c1bf2ba38270aa82830fd71a13c5229326d62d217bcef45","mechanism_id":"u034f-letter-x1","performance":{"cpu_count":4,"host":"Linux-6.12.94+-x86_64-with-glibc2.39","label":"SOURCE-BOUND","long_chars_per_s":415.6607774273195,"long_transform_mean_ms":1481.9776929944055,"medium_chars_per_s":517.5730784917824,"medium_transform_mean_ms":595.0850475019251,"python":"3.12.3","short_chars_per_s":942.0722347485907,"short_transform_mean_ms":15.922345916502916},"platform":{"detail":"Package E2E on CI covers CLI identity on Linux/macOS/Windows. Letter-x1 is development-only Python and was executed on this Linux host.","linux_this_host":"VERIFIED","macos_cli_identity":"SOURCE-BOUND","windows_cli_identity":"SOURCE-BOUND"},"product_authorized":false,"release_registry_empty":true,"reproducibility":{"determinism_unique_hashes":1,"deterministic_output":true,"fresh_independent_corpora":2,"fresh_letter_zero_on_both_corpora":true},"safety":{"fail_closed_fixture_ids":["failclosed_non_ascii"],"protected_pass_rate":"21/21","supported_domain_fail_closed_non_ascii":true},"scorecard_hash":"a7e326d78101df07a21d2da595d699d7c264214d3d13028ce1676dff0bea7cdf","visibility":{"cli_identity":true,"fixture_failures":[],"fixture_pass_rate":"21/21","label":"VERIFIED","rendering":{"chromium_contenteditable":"VERIFIED","chromium_pre":"VERIFIED","chromium_textarea":"VERIFIED","rows":[{"chromium_contenteditable":"VERIFIED","chromium_pre":"VERIFIED","chromium_textarea":"VERIFIED","fixture_id":"short_paragraph","terminal_display_width":"VERIFIED","terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"},{"chromium_contenteditable":"UNKNOWN","chromium_pre":"VERIFIED","chromium_textarea":"UNKNOWN","fixture_id":"quote_heavy","terminal_display_width":"VERIFIED","terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"}],"terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"}},"weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F","latin-1 cannot roundtrip U+034F","ordinary vim save may append a trailing newline","exact-byte search for substrings such as do not can miss after intra-word insertion","selected-site cap 192 binds on 106 of 128 fresh watermarked rows","980000 max score 0.55407 leaves only about 0.003 margin","Safari/WebKit rendering is UNKNOWN on this Linux host","terminal pixel equality is UNKNOWN","accessibility/screen-reader behavior is UNKNOWN","macOS and Windows letter-x1 transform execution is SOURCE-BOUND, not re-run here"]} diff --git a/evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.md b/evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.md new file mode 100644 index 00000000..df714258 --- /dev/null +++ b/evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.md @@ -0,0 +1,122 @@ +# Cycle 8 letter-x1 system benchmark scorecard + +Measurement, not confirmation. Letter-x1 is not in `release_transform_registry()`. +Evidence label: `HYPOTHESIS`. Decision: `PROMISING_DEVELOPMENT`. +Formal confirmation readiness: `NOT_READY`. + +## Detector + +- model: `openai-community/gpt2` +- revision: `607a30d783dfa663caf39e06633721c8d4cfcd7e` +- implementation: cycle8_hf Hugging Face SynthID Weighted Mean +- threshold: `0.5570987654320988` +- comparison: `score >= threshold` +- FPR assumption: frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold 0.5570987654320988 + +## Effectiveness + +| Claim | Result | Label | +| --- | --- | --- | +| Fresh letter-x1 raw WM | 0/128 | `HYPOTHESIS` | +| Fresh letter-x1 raw UW | 0/128 | `HYPOTHESIS` | +| Fresh letter-x1 max score | 0.5540663040663041 | `HYPOTHESIS` | +| Fresh letter-x1 min gap below threshold | 0.003032461365794714 | `HYPOTHESIS` | +| Fresh space-x1 on the same corpora | 1/128 | `HYPOTHESIS` | +| Experimental letter-x1 0/192 | 0/192 (128 seen + 64 independent) | `HYPOTHESIS` | +| Frozen historical space-x1 930000+940000 | 1/128 | `HYPOTHESIS` | + +Do not collapse experimental 0/192 into the fresh 0/128. Do not call either result formal confirmation. + +### Fresh per-domain letter-x1 + +| Domain | n | detected | max score | +| --- | ---: | ---: | ---: | +| conversational_prose | 32 | 0 | 0.5272727272727272 | +| general_explanatory | 32 | 0 | 0.5540663040663041 | +| structured_instructional | 32 | 0 | 0.5141077441077441 | +| technical_explanation | 32 | 0 | 0.5398848296044558 | + +## Visibility + +- fixture visible-projection: `21/21` `VERIFIED` +- failures: none +- CLI identity on `I do not agree.`: `True` +- Chromium `pre`: `VERIFIED` +- Chromium textarea: `VERIFIED` +- Chromium contenteditable: `VERIFIED` +- WebKit/Safari: `UNKNOWN` +- terminal pixels: `UNKNOWN` + +## Durability + +- cf_strip: `VERIFIED` +- cli_stdin: `VERIFIED` +- clipboard_xclip: `VERIFIED` +- latin1: `REJECTED` +- nfc: `VERIFIED` +- nfkc: `VERIFIED` +- shell_pipe_cat: `VERIFIED` +- utf8_file: `VERIFIED` +- utf8_in_memory: `VERIFIED` +- vim_binary_noeol: `VERIFIED` +- vim_default_save: `REJECTED` +- ws_collapse: `VERIFIED` + +- frozen sanitizers match raw on fresh letter: `True` +- Mn-strip removes carrier: `True` +- default-ignorable-strip removes carrier: `True` +- Cf-strip preserves carrier: `True` + +## Safety + +- protected-span pass rate: `21/21` +- non-ASCII fail closed: `True` + +## Efficiency + +- selected-site cap: `192` +- fresh mean insertions: `186.015625` +- fresh mean UTF-8 overhead bytes: `372.03125` +- fresh mean token-count delta: `515.546875` +- fresh max transformed token count: `608` +- fresh cap-binding watermarked rows: `106` +- approaches GPT-2 1024 context: `False` + +## Performance + +- label: `SOURCE-BOUND` +- short mean transform: `15.922345916502916` ms +- medium mean transform: `595.0850475019251` ms +- long mean transform: `1481.9776929944055` ms +- host: `Linux-6.12.94+-x86_64-with-glibc2.39` +- python: `3.12.3` +- cpu_count: `4` + +## Reproducibility + +- deterministic output: `True` +- fresh independent corpora: `2` +- letter zero on both fresh corpora: `True` + +## Platform + +- Linux this host: `VERIFIED` +- macOS CLI identity: `SOURCE-BOUND` +- Windows CLI identity: `SOURCE-BOUND` +- Package E2E on CI covers CLI identity on Linux/macOS/Windows. Letter-x1 is development-only Python and was executed on this Linux host. + +## Weaknesses + +- Mn-strip removes U+034F +- default-ignorable-strip removes U+034F +- latin-1 cannot roundtrip U+034F +- ordinary vim save may append a trailing newline +- exact-byte search for substrings such as do not can miss after intra-word insertion +- selected-site cap 192 binds on 106 of 128 fresh watermarked rows +- 980000 max score 0.55407 leaves only about 0.003 margin +- Safari/WebKit rendering is UNKNOWN on this Linux host +- terminal pixel equality is UNKNOWN +- accessibility/screen-reader behavior is UNKNOWN +- macOS and Windows letter-x1 transform execution is SOURCE-BOUND, not re-run here + +scorecard_hash: `a7e326d78101df07a21d2da595d699d7c264214d3d13028ce1676dff0bea7cdf` diff --git a/fuckmark/cycle8/benchmark.py b/fuckmark/cycle8/benchmark.py new file mode 100644 index 00000000..718962d3 --- /dev/null +++ b/fuckmark/cycle8/benchmark.py @@ -0,0 +1,813 @@ +from __future__ import annotations + +import os +import platform +import re +import resource +import statistics +import subprocess +import sys +import tempfile +import time +import unicodedata +from collections.abc import Mapping, Sequence +from pathlib import Path + +from ..cli import process_text +from ..experiments.cycle6_confirmation import CYCLE6_THRESHOLD +from ..hashing import sha256_json, sha256_text +from ..product.carrier_invariants import validate_product_carrier_invariants +from ..product.domain import is_supported_product_domain_v1 +from ..product.invariants import validate_user_visible_invariants +from ..product.roundtrip import display_column_width, nfc_normalize, roundtrip_report +from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from ..sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters +from ..transforms.cycle7_quote_policy import PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID +from ..transforms.protected import ProtectedSpanExtractor +from ..transforms.registry import historical_visible_edit_transform_registry, release_transform_registry +from ..transforms.schema import InvariantStatus, ProtectedSpanKind +from ..cycle7.whitespace_collapse import collapse_horizontal_ascii_whitespace +from .benchmark_render import clipboard_roundtrip, compare_chrome_surface, compare_pre_payload, xclip_available +from .compare import CYCLE8_BENCHMARK_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID +from .registry import apply_all_candidates, cycle8_letter_carrier_registry, cycle8_space_carrier_registry +from .sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .tokenizer_screen import load_gpt2_encoder, resynchronization_metrics +from .unicode_meta import is_default_ignorable_v1 + + +CYCLE8_BENCHMARK_VERSION = "cycle8-letter-system-benchmark-v1" +CYCLE8_BENCHMARK_STRESS_SANITIZER_IDS = ("mn_strip", "default_ignorable_strip", "nfkd") +_WORD_RE = re.compile(r"[A-Za-z]+(?:[''][A-Za-z]+)?") +_MACHINE_KINDS = frozenset( + { + ProtectedSpanKind.URL, + ProtectedSpanKind.EMAIL, + ProtectedSpanKind.IPV4, + ProtectedSpanKind.IPV6, + ProtectedSpanKind.NUMBER, + ProtectedSpanKind.DATE, + ProtectedSpanKind.CODE, + ProtectedSpanKind.MARKDOWN_DESTINATION, + ProtectedSpanKind.POSIX_PATH, + ProtectedSpanKind.WINDOWS_PATH, + ProtectedSpanKind.CLI_FLAG, + ProtectedSpanKind.IDENTIFIER, + } +) +_RENDER_FIXTURE_IDS = ("short_paragraph", "quote_heavy") + + +def benchmark_fixtures() -> tuple[tuple[str, str, str], ...]: + long_body = ( + "The researchers cannot continue until they do not miss the proof of concept. " + "Keep every visible word, space, and newline exactly as written. " + ) * 4 + return ( + ("general_explanatory", "general_explanatory", "Invisible carriers must leave the visible English paragraph unchanged while remaining detector-blind."), + ("technical_explanation", "technical_explanation", "The scheduler selects non-overlapping insertion sites after ASCII letters and fail-closes when a protected span would change."), + ("conversational_prose", "conversational_prose", "Look, I do not agree that we should rewrite the sentence. We cannot pretend a contraction is invisible."), + ("structured_instructional", "structured_instructional", "First, keep the visible text. Second, insert only an approved carrier. Third, refuse any site that would change a URL."), + ("narrative_prose", "narrative_prose", "She said she would never wait by the river, and he did not answer until the lantern went out."), + ("short_paragraph", "short_paragraph", "I do not agree."), + ("sparse_short", "short_paragraph", "OK."), + ("long_paragraph", "long_paragraph", long_body.strip()), + ("punctuation_heavy", "punctuation_heavy", "Wait -- we cannot continue: don't stop; (really) we won't, will we? End."), + ("quote_heavy", "quote_heavy", 'He answered, "They are not finished and we do not agree." Then he left.'), + ("machine_url", "machine_sensitive", "See https://example.com/do-not-touch and continue the notes."), + ("machine_email", "machine_sensitive", "Write to docs@example.com if you do not agree with the protocol."), + ("machine_path", "machine_sensitive", "The log is at /tmp/foo.txt and must not be rewritten by the carrier."), + ("machine_code", "machine_sensitive", "Use `do_not_touch()` and keep PATH=/usr/bin exact in the snippet."), + ("machine_shell", "machine_sensitive", "Run echo hello-world if you do not agree with the notes."), + ("machine_numbers", "machine_sensitive", "Invoice 12345 is due on 2026-08-26 for 12.50 percent of the total."), + ("machine_markdown", "machine_sensitive", "Read [the contract](https://example.com/do-not-touch) before you continue."), + ("machine_hash", "machine_sensitive", "Digest sha256:0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef is fixed."), + ("mixed_protected", "machine_sensitive", 'Email docs@example.com, visit https://example.com/a, and keep "do not agree" quoted.'), + ("newline_paragraphs", "newline_paragraphs", "I do not agree.\nWe cannot continue.\nKeep both line breaks."), + ("failclosed_latin1_source", "failclosed", "I do not agree with the naive cafe test."), + ("failclosed_non_ascii", "failclosed", "I do not agree " + chr(0x00E9) + "."), + ) + + +def strip_nonspacing_marks(text: str) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + return "".join(character for character in text if unicodedata.category(character) != "Mn") + + +def strip_default_ignorable(text: str) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + return "".join(character for character in text if not is_default_ignorable_v1(ord(character))) + + +def sanitize_benchmark_stress(variant_id: str, text: str) -> str: + if variant_id == "mn_strip": + return strip_nonspacing_marks(text) + if variant_id == "default_ignorable_strip": + return strip_default_ignorable(text) + if variant_id == "nfkd": + return unicodedata.normalize("NFKD", text) + raise ValueError("unknown benchmark stress sanitizer") + + +def apply_historical_visible_edit(text: str) -> str: + registry = historical_visible_edit_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 len(selected) >= 32: + break + if not selected: + return text + try: + return registry.apply(enumeration, tuple(selected)).output_text + except ValueError: + return text + + +def cycle6_style_visible_spaces(text: str) -> str: + return text.replace(" ", " ") + + +def _visible_word_count(text: str) -> int: + return len(_WORD_RE.findall(text)) + + +def _pearson(xs: Sequence[float], ys: Sequence[float]) -> float | None: + if len(xs) != len(ys) or len(xs) < 3: + return None + mean_x = statistics.fmean(xs) + mean_y = statistics.fmean(ys) + var_x = sum((value - mean_x) ** 2 for value in xs) + var_y = sum((value - mean_y) ** 2 for value in ys) + if var_x <= 0 or var_y <= 0: + return None + cov = sum((left - mean_x) * (right - mean_y) for left, right in zip(xs, ys)) + return cov / (var_x * var_y) ** 0.5 + + +def _quantile(ordered: Sequence[float], q: float) -> float | None: + if not ordered: + return None + if q <= 0: + return float(ordered[0]) + if q >= 1: + return float(ordered[-1]) + position = (len(ordered) - 1) * q + low = int(position) + high = min(low + 1, len(ordered) - 1) + frac = position - low + return float(ordered[low]) * (1.0 - frac) + float(ordered[high]) * frac + + +def _score_distribution(values: Sequence[float], *, threshold: float) -> dict[str, object]: + if not values: + return { + "n": 0, + "mean": None, + "median": None, + "stdev": None, + "min": None, + "max": None, + "p10": None, + "p25": None, + "p75": None, + "p90": None, + "p95": None, + "threshold": threshold, + "max_gap_below_threshold": None, + } + ordered = tuple(sorted(float(value) for value in values)) + mean = statistics.fmean(ordered) + stdev = statistics.pstdev(ordered) if len(ordered) > 1 else 0.0 + maximum = ordered[-1] + return { + "n": len(ordered), + "mean": mean, + "median": _quantile(ordered, 0.5), + "stdev": stdev, + "min": ordered[0], + "max": maximum, + "p10": _quantile(ordered, 0.10), + "p25": _quantile(ordered, 0.25), + "p75": _quantile(ordered, 0.75), + "p90": _quantile(ordered, 0.90), + "p95": _quantile(ordered, 0.95), + "threshold": threshold, + "max_gap_below_threshold": threshold - maximum, + } + + +def enrich_detector_artifact(artifact: Mapping[str, object], *, transformed_arm_id: str) -> dict[str, object]: + threshold = float(artifact["threshold"]) + scored_rows = tuple(artifact["scored_rows"]) + arm_rows = tuple(row for row in scored_rows if row["arm_id"] == transformed_arm_id) + watermarked = tuple(row for row in arm_rows if row["label"] == "watermarked") + unwatermarked = tuple(row for row in arm_rows if row["label"] == "unwatermarked") + raw_wm_scores = tuple(float(row["sanitizers"]["raw"]["score"]) for row in watermarked) + raw_uw_scores = tuple(float(row["sanitizers"]["raw"]["score"]) for row in unwatermarked) + closest = None + if watermarked: + closest_row = max(watermarked, key=lambda row: float(row["sanitizers"]["raw"]["score"])) + closest = { + "sample_id": closest_row["sample_id"], + "domain": closest_row["domain"], + "score": float(closest_row["sanitizers"]["raw"]["score"]), + "detected": bool(closest_row["sanitizers"]["raw"]["detected"]), + "gap_below_threshold": threshold - float(closest_row["sanitizers"]["raw"]["score"]), + "inserted_count": int(closest_row["geometry"]["inserted_count"]), + } + domains: dict[str, dict[str, object]] = {} + for row in watermarked: + domain = str(row["domain"]) + bucket = domains.setdefault( + domain, + {"watermarked_n": 0, "raw_detected": 0, "scores": []}, + ) + bucket["watermarked_n"] = int(bucket["watermarked_n"]) + 1 + bucket["raw_detected"] = int(bucket["raw_detected"]) + int(bool(row["sanitizers"]["raw"]["detected"])) + scores = list(bucket["scores"]) + scores.append(float(row["sanitizers"]["raw"]["score"])) + bucket["scores"] = scores + domain_rows = [] + for domain, bucket in sorted(domains.items()): + scores = tuple(float(value) for value in bucket["scores"]) + domain_rows.append( + { + "domain": domain, + "watermarked_n": bucket["watermarked_n"], + "raw_detected": bucket["raw_detected"], + "scores": _score_distribution(scores, threshold=threshold), + } + ) + tokenizer_deltas = [] + tokenizer_original = [] + tokenizer_transformed = [] + inserted_wm = [] + for row in arm_rows: + tokenizer = row["geometry"].get("tokenizer") + if isinstance(tokenizer, Mapping) and tokenizer.get("token_count_delta") is not None: + tokenizer_deltas.append(int(tokenizer["token_count_delta"])) + tokenizer_original.append(int(tokenizer["original_token_count"])) + tokenizer_transformed.append(int(tokenizer["transformed_token_count"])) + for row in watermarked: + inserted_wm.append(int(row["geometry"]["inserted_count"])) + cap_binds = sum(1 for value in inserted_wm if value >= 192) + payload = { + "algorithm_version": CYCLE8_BENCHMARK_VERSION, + "seed_base": artifact["seed_base"], + "pair_count": artifact["pair_count"], + "topic": artifact.get("topic"), + "artifact_hash": artifact.get("artifact_hash"), + "arm_id": transformed_arm_id, + "model": artifact.get("model"), + "model_revision": artifact.get("model_revision"), + "threshold": threshold, + "detector_access_used_for_selection": artifact.get("detector_access_used_for_selection"), + "pristine_watermarked_detected": sum(bool(row["pristine_detected"]) for row in watermarked), + "pristine_unwatermarked_detected": sum(bool(row["pristine_detected"]) for row in unwatermarked), + "raw_watermarked_detected": sum(bool(row["sanitizers"]["raw"]["detected"]) for row in watermarked), + "raw_unwatermarked_detected": sum(bool(row["sanitizers"]["raw"]["detected"]) for row in unwatermarked), + "raw_watermarked_scores": _score_distribution(raw_wm_scores, threshold=threshold), + "raw_unwatermarked_scores": _score_distribution(raw_uw_scores, threshold=threshold), + "closest_watermarked_row": closest, + "domains": domain_rows, + "visible_pass": sum(bool(row["geometry"]["visible_ok"]) for row in arm_rows), + "visible_total": len(arm_rows), + "inserted_count_mean": ( + sum(int(row["geometry"]["inserted_count"]) for row in arm_rows) / len(arm_rows) if arm_rows else 0 + ), + "utf8_overhead_mean": ( + sum(int(row["geometry"]["utf8_overhead"]) for row in arm_rows) / len(arm_rows) if arm_rows else 0 + ), + "token_count_delta_mean": (sum(tokenizer_deltas) / len(tokenizer_deltas) if tokenizer_deltas else None), + "token_count_delta_max": (max(tokenizer_deltas) if tokenizer_deltas else None), + "original_token_count_mean": ( + sum(tokenizer_original) / len(tokenizer_original) if tokenizer_original else None + ), + "transformed_token_count_mean": ( + sum(tokenizer_transformed) / len(tokenizer_transformed) if tokenizer_transformed else None + ), + "transformed_token_count_max": (max(tokenizer_transformed) if tokenizer_transformed else None), + "gpt2_context_limit": 1024, + "approaches_gpt2_context_limit": ( + max(tokenizer_transformed) >= 960 if tokenizer_transformed else None + ), + "cap_bind_watermarked": cap_binds, + "inserted_count_vs_score_pearson": _pearson( + tuple(float(value) for value in inserted_wm), + raw_wm_scores, + ), + "token_delta_vs_score_pearson": _pearson( + tuple(float(row["geometry"]["tokenizer"]["token_count_delta"]) for row in watermarked if isinstance(row["geometry"].get("tokenizer"), Mapping)), + tuple(float(row["sanitizers"]["raw"]["score"]) for row in watermarked if isinstance(row["geometry"].get("tokenizer"), Mapping)), + ), + "sanitizers": {}, + } + sanitizer_ids = tuple(artifact["sanitizer_ids"]) + sanitizers = {} + for variant in sanitizer_ids: + sanitizers[variant] = { + "watermarked_detected": sum(bool(row["sanitizers"][variant]["detected"]) for row in watermarked), + "unwatermarked_detected": sum(bool(row["sanitizers"][variant]["detected"]) for row in unwatermarked), + "equals_transformed_rate": ( + f"{sum(bool(row['sanitizers'][variant]['equals_transformed']) for row in arm_rows)}/{len(arm_rows)}" + ), + "equals_source_rate": ( + f"{sum(bool(row['sanitizers'][variant]['equals_source']) for row in arm_rows)}/{len(arm_rows)}" + ), + } + payload["sanitizers"] = sanitizers + return {**payload, "stats_hash": sha256_json(payload)} + + +def _visible_contract(original: str, transformed: str, approved: tuple[int, ...]) -> dict[str, object]: + projected = project_visible_v1(transformed, approved) + reasons: list[str] = [] + if projected != original: + reasons.append("visible_projection_mismatch") + if not is_carrier_insertion_v1(original, transformed, approved): + reasons.append("not_carrier_insertion") + if original.replace(" ", "") != projected.replace(" ", "") and "visible_projection_mismatch" not in reasons: + reasons.append("visible_characters_changed") + if original.count(" ") != projected.count(" "): + reasons.append("visible_spaces_changed") + if original.count("\n") != projected.count("\n"): + reasons.append("line_breaks_changed") + punctuation_original = "".join(ch for ch in original if not ch.isalnum() and ch not in " \t\r\n") + punctuation_projected = "".join(ch for ch in projected if not ch.isalnum() and ch not in " \t\r\n") + if punctuation_original != punctuation_projected: + reasons.append("punctuation_changed") + if "".join(ch for ch in original if not ch.isspace()) != "".join(ch for ch in projected if not ch.isspace()): + reasons.append("character_order_changed") + product = validate_user_visible_invariants(original, transformed, approved) + return { + "visible_ok": not reasons and product.status is InvariantStatus.PASS, + "reasons": tuple(reasons), + "product_invariant": product.status.value, + "display_column_width_equal": display_column_width(original) == display_column_width(transformed), + "newline_count_equal": original.count("\n") == transformed.count("\n"), + "ascii_space_count_equal": original.count(" ") == transformed.count(" "), + } + + +def _protected_report(original: str, transformed: str) -> dict[str, object]: + extractor = ProtectedSpanExtractor() + original_spans = extractor.extract(original).spans + failures: list[dict[str, object]] = [] + checked = 0 + for span in original_spans: + if not any(kind in _MACHINE_KINDS for kind in span.kinds): + continue + checked += 1 + fragment = span.exact_text + if fragment not in transformed: + failures.append( + { + "kinds": tuple(kind.value for kind in span.kinds), + "start": span.start, + "end": span.end, + "fragment_sha256": sha256_text(fragment), + } + ) + return { + "checked_spans": checked, + "intact_spans": checked - len(failures), + "failures": tuple(failures), + "pass": not failures, + } + + +def measure_fixture_row(fixture_id: str, category: str, source: str, encoder=None) -> dict[str, object]: + supported = is_supported_product_domain_v1(source) + letter_registry = cycle8_letter_carrier_registry(0x034F) + expensive = len(source) > 500 + if supported: + letter_text = apply_all_candidates(letter_registry, source) + space_text = apply_all_candidates(cycle8_space_carrier_registry(0x034F), source) + u200c_text = ( + source if expensive else apply_all_candidates(cycle8_space_carrier_registry(0x200C), source) + ) + else: + letter_text = source + space_text = source + u200c_text = source + historical = source if (not supported or expensive) else apply_historical_visible_edit(source) + spaced = cycle6_style_visible_spaces(source) if supported else source + approved = (0x034F,) + letter_visible = _visible_contract(source, letter_text, approved) + letter_protected = _protected_report(source, letter_text) + letter_product = validate_product_carrier_invariants( + source, + letter_text, + approved_carriers=approved, + include_quotations=False, + ) if supported else None + frozen_hard_pass = None + if supported: + from ..transforms.hard_invariants import validate_hard_invariants + + frozen_hard_pass = validate_hard_invariants(source, letter_text).status is InvariantStatus.PASS + sanitizers = {} + for variant in CYCLE8_SCALE_SANITIZER_VARIANT_IDS: + cleaned = sanitize_cycle8_scale_variant(variant, letter_text) + sanitizers[variant] = { + "equals_source": cleaned == source, + "equals_transformed": cleaned == letter_text, + "visible_ok": is_carrier_insertion_v1(source, cleaned, approved) if supported else cleaned == source, + "carrier_survives": letter_text.count("\u034f") > 0 and cleaned.count("\u034f") == letter_text.count("\u034f"), + } + stress = {} + for variant in CYCLE8_BENCHMARK_STRESS_SANITIZER_IDS: + cleaned = sanitize_benchmark_stress(variant, letter_text) + stress[variant] = { + "equals_source": cleaned == source, + "equals_transformed": cleaned == letter_text, + "carrier_survives": letter_text.count("\u034f") > 0 and cleaned.count("\u034f") == letter_text.count("\u034f"), + "visible_projection_equals_source": project_visible_v1(cleaned, approved) == source, + } + visible_words = _visible_word_count(source) + visible_chars = len(source) + inserted = letter_text.count("\u034f") - source.count("\u034f") + utf8_overhead = len(letter_text.encode("utf-8")) - len(source.encode("utf-8")) + tokenizer = None + if encoder is not None and supported and visible_chars <= 800: + tokenizer = resynchronization_metrics(encoder(source), encoder(letter_text)) + search_break = "do not" in source and "do not" not in letter_text + return { + "fixture_id": fixture_id, + "category": category, + "supported_product_domain": supported, + "source_sha256": sha256_text(source), + "source_chars": visible_chars, + "source_visible_words": visible_words, + "letter": { + "transformed_sha256": sha256_text(letter_text), + "inserted_count": inserted, + "utf8_overhead": utf8_overhead, + "inserted_per_visible_word": (inserted / visible_words) if visible_words else None, + "inserted_per_visible_char": (inserted / visible_chars) if visible_chars else None, + "percent_utf8_growth": (utf8_overhead / max(len(source.encode("utf-8")), 1)) * 100.0, + "visible": letter_visible, + "protected": letter_protected, + "product_carrier_invariant": None if letter_product is None else letter_product.status.value, + "frozen_hard_invariant_pass": frozen_hard_pass, + "quote_policy_id": letter_registry.quote_policy_id, + "max_selected": letter_registry.max_selected, + "search_literal_do_not_breaks": search_break, + "tokenizer": tokenizer, + "fail_closed_identity": supported and letter_text == source and inserted == 0 and visible_chars >= 12, + }, + "baselines": { + "identity_equals_source": True, + "space_x1_visible_ok": is_carrier_insertion_v1(source, space_text, approved) if supported else True, + "space_x1_inserted": space_text.count("\u034f") - source.count("\u034f") if supported else 0, + "u200c_measured": supported and not expensive, + "u200c_visible_ok": ( + True + if not supported or expensive + else is_carrier_insertion_v1(source, u200c_text, (0x200C,)) + ), + "u200c_cf_strip_equals_source": ( + True if not supported or expensive else strip_unicode_format_characters(u200c_text) == source + ), + "historical_visible_edit_measured": supported and not expensive, + "historical_visible_edit_equals_source": historical == source, + "historical_visible_edit_product_disqualified": historical != source, + "cycle6_spacing_equals_source": spaced == source, + "cycle6_spacing_product_disqualified": spaced != source, + "cli_process_text_equals_source": process_text(source) == source, + }, + "sanitizers": sanitizers, + "stress_sanitizers": stress, + "roundtrip": roundtrip_report(source, letter_text, approved) if supported else None, + } + + +def run_determinism(source: str, repeats: int = 5) -> dict[str, object]: + registry = cycle8_letter_carrier_registry(0x034F) + hashes = [] + for _ in range(repeats): + hashes.append(sha256_text(apply_all_candidates(registry, source))) + return { + "repeats": repeats, + "unique_hashes": len(set(hashes)), + "deterministic": len(set(hashes)) == 1, + "output_sha256": hashes[0] if hashes else None, + } + + +def run_performance() -> dict[str, object]: + registry = cycle8_letter_carrier_registry(0x034F) + cases = { + "short": "I do not agree.", + "medium": ("The researchers cannot continue until they do not miss the proof of concept. ") * 4, + "long": ("The researchers cannot continue until they do not miss the proof of concept. ") * 8, + } + + def _bench(text: str, loops: int) -> dict[str, object]: + apply_all_candidates(registry, text) + started = time.perf_counter() + rss_before = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss + for _ in range(loops): + apply_all_candidates(registry, text) + elapsed = time.perf_counter() - started + rss_after = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss + mean_ms = (elapsed / loops) * 1000.0 + chars = len(text) + enum_started = time.perf_counter() + registry.enumerate(text) + enum_elapsed = time.perf_counter() - enum_started + cli_started = time.perf_counter() + process_text(text) + cli_elapsed = time.perf_counter() - cli_started + return { + "chars": chars, + "loops": loops, + "transform_mean_ms": mean_ms, + "transform_chars_per_s": chars / (elapsed / loops) if elapsed else None, + "enumerate_mean_ms": enum_elapsed * 1000.0, + "cli_identity_mean_ms": cli_elapsed * 1000.0, + "ru_maxrss_kb": max(rss_before, rss_after), + } + + return { + "algorithm_version": CYCLE8_BENCHMARK_VERSION, + "short": _bench(cases["short"], 12), + "medium": _bench(cases["medium"], 2), + "long": _bench(cases["long"], 1), + "host": platform.platform(), + "python": platform.python_version(), + "cpu_count": os.cpu_count(), + } + + +def run_platform_roundtrips(source: str, transformed: str) -> dict[str, object]: + utf8_ok = transformed.encode("utf-8").decode("utf-8") == transformed + with tempfile.TemporaryDirectory(prefix="fuckmark-bench-io-") as directory: + path = Path(directory) / "sample.txt" + path.write_text(transformed, encoding="utf-8", newline="\n") + file_read = path.read_text(encoding="utf-8") + try: + pipe = subprocess.run( + [sys.executable, "-m", "fuckmark.cli", "--stdin", "-q"], + input=transformed, + capture_output=True, + text=True, + check=False, + timeout=20, + ) + cli_out = pipe.stdout + cli_code = pipe.returncode + except subprocess.TimeoutExpired: + cli_out = "" + cli_code = 124 + shell = subprocess.run(["cat"], input=transformed, capture_output=True, text=True, check=True) + vim_path = Path(directory) / "vim.txt" + vim_default_path = Path(directory) / "vim-default.txt" + vim_path.write_text(transformed, encoding="utf-8", newline="\n") + vim_default_path.write_text(transformed, encoding="utf-8", newline="\n") + vim = shutil_which_vim() + vim_text = None + vim_status = "UNKNOWN" + vim_default_text = None + vim_default_status = "UNKNOWN" + if vim is not None: + completed = subprocess.run( + [vim, "-n", "-u", "NONE", "--not-a-term", "-c", "set binary noeol", "-c", "wq", str(vim_path)], + capture_output=True, + timeout=10, + check=False, + ) + if completed.returncode == 0: + vim_text = vim_path.read_text(encoding="utf-8") + vim_status = "VERIFIED" if vim_text == transformed else "REJECTED" + else: + vim_status = "UNKNOWN" + default = subprocess.run( + [vim, "-n", "-u", "NONE", "--not-a-term", "-c", "wq", str(vim_default_path)], + capture_output=True, + timeout=10, + check=False, + ) + if default.returncode == 0: + vim_default_text = vim_default_path.read_text(encoding="utf-8") + vim_default_status = "VERIFIED" if vim_default_text == transformed else "REJECTED" + else: + vim_default_status = "UNKNOWN" + clip = clipboard_roundtrip(transformed) + clip_status = "UNKNOWN" if clip is None else ("VERIFIED" if clip == transformed else "REJECTED") + return { + "utf8_file": { + "carrier_survives": file_read == transformed, + "visible_projection_preserved": project_visible_v1(file_read, (0x034F,)) == source, + "normalization_occurred": file_read != transformed, + "status": "VERIFIED" if file_read == transformed else "REJECTED", + }, + "cli_stdin": { + "exit_code": cli_code, + "carrier_survives": cli_out == transformed, + "visible_projection_preserved": project_visible_v1(cli_out, (0x034F,)) == source, + "normalization_occurred": cli_out != transformed, + "status": "VERIFIED" if cli_out == transformed and cli_code == 0 else "REJECTED", + }, + "shell_pipe_cat": { + "carrier_survives": shell.stdout == transformed, + "visible_projection_preserved": project_visible_v1(shell.stdout, (0x034F,)) == source, + "normalization_occurred": shell.stdout != transformed, + "status": "VERIFIED" if shell.stdout == transformed else "REJECTED", + }, + "clipboard_xclip": { + "available": xclip_available(), + "carrier_survives": None if clip is None else clip == transformed, + "visible_projection_preserved": None if clip is None else project_visible_v1(clip, (0x034F,)) == source, + "normalization_occurred": None if clip is None else clip != transformed, + "status": clip_status, + }, + "vim_binary_noeol": { + "status": vim_status, + "carrier_survives": None if vim_text is None else vim_text == transformed, + "visible_projection_preserved": None if vim_text is None else project_visible_v1(vim_text, (0x034F,)) == source, + "normalization_occurred": None if vim_text is None else vim_text != transformed, + }, + "vim_default_save": { + "status": vim_default_status, + "carrier_survives": None if vim_default_text is None else vim_default_text.count("\u034f") == transformed.count("\u034f"), + "visible_projection_preserved": None if vim_default_text is None else project_visible_v1(vim_default_text, (0x034F,)) == source, + "normalization_occurred": None if vim_default_text is None else vim_default_text != transformed, + "detail": "ordinary vim wq may append a trailing newline", + }, + "latin1": { + "carrier_survives": False, + "status": "REJECTED", + "detail": "U+034F cannot roundtrip through latin-1", + }, + "nfc": { + "carrier_survives": nfc_normalize(transformed) == transformed, + "visible_projection_preserved": project_visible_v1(nfc_normalize(transformed), (0x034F,)) == source, + "normalization_occurred": nfc_normalize(transformed) != transformed, + "status": "VERIFIED" if nfc_normalize(transformed) == transformed else "REJECTED", + }, + "nfkc": { + "carrier_survives": nfkc_normalize(transformed) == transformed, + "visible_projection_preserved": project_visible_v1(nfkc_normalize(transformed), (0x034F,)) == source, + "normalization_occurred": nfkc_normalize(transformed) != transformed, + "status": "VERIFIED" if nfkc_normalize(transformed) == transformed else "REJECTED", + }, + "cf_strip": { + "carrier_survives": strip_unicode_format_characters(transformed) == transformed, + "visible_projection_preserved": project_visible_v1(strip_unicode_format_characters(transformed), (0x034F,)) == source, + "normalization_occurred": strip_unicode_format_characters(transformed) != transformed, + "status": "VERIFIED" if strip_unicode_format_characters(transformed) == transformed else "REJECTED", + }, + "ws_collapse": { + "carrier_survives": collapse_horizontal_ascii_whitespace(transformed) == transformed, + "visible_projection_preserved": project_visible_v1(collapse_horizontal_ascii_whitespace(transformed), (0x034F,)) == source, + "normalization_occurred": collapse_horizontal_ascii_whitespace(transformed) != transformed, + "status": "VERIFIED" if collapse_horizontal_ascii_whitespace(transformed) == transformed else "REJECTED", + }, + "utf8_in_memory": {"carrier_survives": utf8_ok, "status": "VERIFIED" if utf8_ok else "REJECTED"}, + } + + +def shutil_which_vim() -> str | None: + import shutil + + return shutil.which("vim") + + +def _tiktoken_version() -> str | None: + try: + import tiktoken + except ImportError: + return None + return getattr(tiktoken, "__version__", None) + + +def run_rendering(source: str, transformed: str, *, extra_surfaces: bool) -> dict[str, object]: + pre = compare_pre_payload(source, transformed) + payload = { + "chromium_pre": pre, + "webkit_safari": {"status": "UNKNOWN", "detail": "Safari is not available on this Linux host"}, + "terminal_pixels": {"status": "UNKNOWN", "detail": "terminal pixel capture is not instrumented"}, + "terminal_display_width": { + "status": "VERIFIED" if display_column_width(source) == display_column_width(transformed) else "REJECTED", + "equal": display_column_width(source) == display_column_width(transformed), + }, + } + if extra_surfaces: + payload["chromium_textarea"] = compare_chrome_surface(source, transformed, "textarea") + payload["chromium_contenteditable"] = compare_chrome_surface(source, transformed, "contenteditable") + else: + payload["chromium_textarea"] = {"status": "UNKNOWN", "detail": "not measured on this fixture"} + payload["chromium_contenteditable"] = {"status": "UNKNOWN", "detail": "not measured on this fixture"} + return payload + + +def environment_payload() -> dict[str, object]: + import torch + + payload = { + "algorithm_version": CYCLE8_BENCHMARK_VERSION, + "python": platform.python_version(), + "platform": platform.platform(), + "processor": platform.processor(), + "cpu_count": os.cpu_count(), + "torch": getattr(torch, "__version__", None), + "torch_cuda": bool(torch.cuda.is_available()) if hasattr(torch, "cuda") else False, + "threshold": CYCLE6_THRESHOLD, + "model": "openai-community/gpt2", + "model_revision": "607a30d783dfa663caf39e06633721c8d4cfcd7e", + "comparison": "score >= threshold", + "fpr_assumption": "frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold 0.5570987654320988", + "release_cli_algorithm_version": "release-cli-v4", + "letter_quote_policy_id": PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, + "release_registry_empty": release_transform_registry().rules == (), + "benchmark_arm_ids": CYCLE8_BENCHMARK_ARM_IDS, + "tiktoken": _tiktoken_version(), + "hostname": platform.node(), + } + return {**payload, "environment_hash": sha256_json(payload)} + + +def run_local_system_benchmark(*, include_render: bool = True) -> dict[str, object]: + encoder = load_gpt2_encoder() + rows = [] + visible_pass = 0 + visible_total = 0 + visible_failures: list[dict[str, object]] = [] + protected_pass = 0 + protected_total = 0 + render_rows = [] + for fixture_id, category, source in benchmark_fixtures(): + row = measure_fixture_row(fixture_id, category, source, encoder=encoder) + rows.append(row) + if row["supported_product_domain"]: + visible_total += 1 + if row["letter"]["visible"]["visible_ok"]: + visible_pass += 1 + else: + visible_failures.append( + { + "fixture_id": fixture_id, + "reasons": row["letter"]["visible"]["reasons"], + } + ) + protected_total += 1 + if row["letter"]["protected"]["pass"]: + protected_pass += 1 + if include_render and fixture_id in _RENDER_FIXTURE_IDS and row["supported_product_domain"]: + transformed = apply_all_candidates(cycle8_letter_carrier_registry(0x034F), source) + render_rows.append( + { + "fixture_id": fixture_id, + "render": run_rendering(source, transformed, extra_surfaces=fixture_id == "short_paragraph"), + } + ) + short_source = "I do not agree." + short_transformed = apply_all_candidates(cycle8_letter_carrier_registry(0x034F), short_source) + inserted_rows = [row for row in rows if row["letter"]["inserted_count"] > 0] + mn_kills = all(not row["stress_sanitizers"]["mn_strip"]["carrier_survives"] for row in inserted_rows) + di_kills = all( + not row["stress_sanitizers"]["default_ignorable_strip"]["carrier_survives"] for row in inserted_rows + ) + cf_survives = all(row["sanitizers"]["cf_strip"]["carrier_survives"] for row in inserted_rows) + search_breaks = [ + row["fixture_id"] for row in rows if row["letter"].get("search_literal_do_not_breaks") + ] + fail_closed = [ + row["fixture_id"] + for row in rows + if (not row["supported_product_domain"]) or row["letter"].get("fail_closed_identity") + ] + payload = { + "algorithm_version": CYCLE8_BENCHMARK_VERSION, + "mechanism_id": CYCLE8_U034F_LETTER_ARM_ID, + "visible_pass": visible_pass, + "visible_total": visible_total, + "visible_pass_rate": f"{visible_pass}/{visible_total}", + "visible_failures": visible_failures, + "protected_pass": protected_pass, + "protected_total": protected_total, + "protected_pass_rate": f"{protected_pass}/{protected_total}", + "release_registry_empty": release_transform_registry().rules == (), + "cli_identity": process_text("I do not agree.") == "I do not agree.", + "determinism": run_determinism(short_source), + "performance": run_performance(), + "roundtrips": run_platform_roundtrips(short_source, short_transformed), + "rendering": render_rows, + "stress": { + "mn_strip_removes_carrier": mn_kills, + "default_ignorable_strip_removes_carrier": di_kills, + "cf_strip_preserves_carrier": cf_survives, + "search_literal_do_not_breaks": search_breaks, + "fail_closed_fixture_ids": fail_closed, + }, + "fixtures": rows, + } + return {**payload, "artifact_hash": sha256_json(payload)} diff --git a/fuckmark/cycle8/benchmark_render.py b/fuckmark/cycle8/benchmark_render.py new file mode 100644 index 00000000..0894055f --- /dev/null +++ b/fuckmark/cycle8/benchmark_render.py @@ -0,0 +1,174 @@ +from __future__ import annotations + +import json +import shutil +import subprocess +import tempfile +import time +from pathlib import Path + +from ..hashing import sha256_json, sha256_text +from ..product.rendering import chrome_executable, compare_chrome_pre_screenshots + + +BENCHMARK_RENDER_VERSION = "cycle8-benchmark-render-v1" + + +def _html_surface(text: str, surface: str) -> str: + payload = json.dumps(text, ensure_ascii=False).replace("<", "\\u003c").replace(">", "\\u003e") + if surface == "textarea": + body = ( + "" + ) + elif surface == "contenteditable": + body = ( + "
" + ) + else: + raise ValueError("unknown render surface") + return ( + "" + "" + f"{body}" + f"" + "" + ) + + +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=800,240", + 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() + process.wait(timeout=5) + if not png_path.exists() or png_path.stat().st_size <= 0: + raise RuntimeError("chromium screenshot missing") + return png_path.read_bytes() + + +def compare_chrome_surface(original: str, transformed: str, surface: str) -> dict[str, object]: + if not isinstance(original, str) or not isinstance(transformed, str): + raise TypeError("original and transformed must be strings") + environment = f"chromium_{surface}" + executable = chrome_executable() + original_sha = sha256_text(original) + transformed_sha = sha256_text(transformed) + if executable is None: + payload = { + "algorithm_version": BENCHMARK_RENDER_VERSION, + "environment": environment, + "status": "UNKNOWN", + "original_sha256": original_sha, + "transformed_sha256": transformed_sha, + "equal": None, + "detail": "no chromium executable on this host", + } + return {**payload, "comparison_hash": sha256_json(payload)} + try: + with tempfile.TemporaryDirectory(prefix="fuckmark-bench-render-") as directory: + root = Path(directory) + original_png = _screenshot(executable, root, "original", _html_surface(original, surface)) + transformed_png = _screenshot(executable, root, "transformed", _html_surface(transformed, surface)) + except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired, RuntimeError) as error: + payload = { + "algorithm_version": BENCHMARK_RENDER_VERSION, + "environment": environment, + "status": "UNKNOWN", + "original_sha256": original_sha, + "transformed_sha256": transformed_sha, + "equal": None, + "detail": type(error).__name__, + } + return {**payload, "comparison_hash": sha256_json(payload)} + equal = original_png == transformed_png + payload = { + "algorithm_version": BENCHMARK_RENDER_VERSION, + "environment": environment, + "status": "VERIFIED" if equal else "REJECTED", + "original_sha256": original_sha, + "transformed_sha256": transformed_sha, + "equal": equal, + "detail": "png_bytes_equal" if equal else "png_bytes_differ", + } + return {**payload, "comparison_hash": sha256_json(payload)} + + +def compare_pre_payload(original: str, transformed: str) -> dict[str, object]: + result = compare_chrome_pre_screenshots(original, transformed) + payload = result.payload() + payload["comparison_hash"] = result.comparison_hash + return payload + + +def xclip_available() -> bool: + return shutil.which("xclip") is not None + + +def clipboard_roundtrip(text: str) -> str | None: + if not isinstance(text, str): + raise TypeError("text must be a string") + if not xclip_available(): + return None + try: + subprocess.run( + ["xclip", "-selection", "clipboard", "-t", "UTF8_STRING"], + input=text.encode("utf-8"), + check=True, + timeout=10, + ) + output = subprocess.check_output( + ["xclip", "-selection", "clipboard", "-t", "UTF8_STRING", "-o"], + timeout=10, + ) + except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired): + try: + subprocess.run( + ["xclip", "-selection", "clipboard"], + input=text.encode("utf-8"), + check=True, + timeout=10, + ) + output = subprocess.check_output(["xclip", "-selection", "clipboard", "-o"], timeout=10) + except (OSError, subprocess.CalledProcessError, subprocess.TimeoutExpired): + return None + return output.decode("utf-8") diff --git a/fuckmark/cycle8/compare.py b/fuckmark/cycle8/compare.py index de457292..04f896a2 100644 --- a/fuckmark/cycle8/compare.py +++ b/fuckmark/cycle8/compare.py @@ -44,6 +44,11 @@ CYCLE8_IDENTITY_ARM_ID, CYCLE8_U034F_LETTER_ARM_ID, ) +CYCLE8_BENCHMARK_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_SPACE_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, +) CYCLE8_FIXTURE_ARM_IDS = ( *CYCLE8_DETECTOR_ARM_IDS, CYCLE8_UFE00_SPACE_ARM_ID, diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 1d2ca5b4..5b4726dd 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -7,6 +7,10 @@ from ..seeds.ledger import ( CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_DENSITY_EXPLORATORY_TOPIC, + CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, @@ -28,6 +32,8 @@ CYCLE8_SCALE_VALIDATION_ROLE = "scale_validation" CYCLE8_DENSITY_EXPLORATORY_ROLE = "density_exploratory_development" CYCLE8_LETTER_EXPLORATORY_ROLE = "letter_exploratory_development" +CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE = "letter_benchmark_primary" +CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE = "letter_benchmark_replication" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -42,12 +48,15 @@ CYCLE8_SCALE_VALIDATION_SEED_BASES = (CYCLE8_SCALE_VALIDATION_SEED_BASE,) CYCLE8_DENSITY_EXPLORATORY_SEED_BASES = (CYCLE8_DENSITY_EXPLORATORY_SEED_BASE,) CYCLE8_LETTER_EXPLORATORY_SEED_BASES = (CYCLE8_LETTER_EXPLORATORY_SEED_BASE,) +CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASES = (CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE,) +CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES = (CYCLE8_LETTER_BENCHMARK_REPLICATION_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" CYCLE8_VALIDATION_TOPIC = "invisible carrier validation" CYCLE8_TINY_SCORED_SEED_BASES = (890_000, 900_000, 910_000) CYCLE8_SCALE_PAIR_COUNT = 16 +CYCLE8_LETTER_BENCHMARK_PAIR_COUNT = 64 INHERITED_SPENT_SEED_BASES = ( 760_000, @@ -100,7 +109,12 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, "letter_exploratory_seed_base": CYCLE8_LETTER_EXPLORATORY_SEED_BASE, "letter_exploratory_topic": CYCLE8_LETTER_EXPLORATORY_TOPIC, + "letter_benchmark_primary_seed_base": CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + "letter_benchmark_primary_topic": CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + "letter_benchmark_replication_seed_base": CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + "letter_benchmark_replication_topic": CYCLE8_LETTER_BENCHMARK_REPLICATION_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), "selection_rule": ( "Cycle 8 seeds 890000, 900000, 910000, and 920000 were assigned before " @@ -114,7 +128,10 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "'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. Do not retune on Cycle 6 formal residuals." + "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. Do not retune on Cycle 6 formal residuals." ), } @@ -141,6 +158,10 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_DENSITY_EXPLORATORY_ROLE if seed_base in CYCLE8_LETTER_EXPLORATORY_SEED_BASES: return CYCLE8_LETTER_EXPLORATORY_ROLE + if seed_base in CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASES: + return CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE + if seed_base in CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES: + return CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -173,5 +194,7 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_SCALE_VALIDATION_ROLE: CYCLE8_SCALE_VALIDATION_SEED_BASES, CYCLE8_DENSITY_EXPLORATORY_ROLE: CYCLE8_DENSITY_EXPLORATORY_SEED_BASES, CYCLE8_LETTER_EXPLORATORY_ROLE: CYCLE8_LETTER_EXPLORATORY_SEED_BASES, + CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE: CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASES, + CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE: CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES, CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8_benchmark.py b/fuckmark/cycle8_benchmark.py new file mode 100644 index 00000000..29b877cf --- /dev/null +++ b/fuckmark/cycle8_benchmark.py @@ -0,0 +1,559 @@ +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.benchmark import ( + CYCLE8_BENCHMARK_VERSION, + enrich_detector_artifact, + environment_payload, + run_local_system_benchmark, +) +from .cycle8.compare import CYCLE8_U034F_LETTER_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID +from .durable_io import write_canonical_json_fsynced +from .hashing import sha256_file, sha256_json +from .transforms.registry import release_transform_registry + + +def _load(path: Path) -> dict[str, object]: + return json.loads(path.read_text(encoding="utf-8")) + + +def _maybe_enrich(path: Path, arm_id: str) -> dict[str, object] | None: + if not path.is_file(): + return None + return enrich_detector_artifact(_load(path), transformed_arm_id=arm_id) + + +def _pick(rows: list[dict[str, object]], seed_base: int, arm_id: str) -> dict[str, object] | None: + for row in rows: + if int(row["seed_base"]) == seed_base and row["arm_id"] == arm_id: + return row + return None + + +def _compact_row(row: dict[str, object] | None) -> dict[str, object] | None: + if row is None: + return None + scores = row["raw_watermarked_scores"] + closest = row.get("closest_watermarked_row") + return { + "seed_base": row["seed_base"], + "pair_count": row["pair_count"], + "topic": row.get("topic"), + "artifact_hash": row.get("artifact_hash"), + "raw_watermarked_detected": row["raw_watermarked_detected"], + "raw_unwatermarked_detected": row["raw_unwatermarked_detected"], + "pristine_watermarked_detected": row["pristine_watermarked_detected"], + "visible_pass": f"{row['visible_pass']}/{row['visible_total']}", + "mean": scores["mean"], + "median": scores["median"], + "stdev": scores["stdev"], + "min": scores["min"], + "max": scores["max"], + "p90": scores["p90"], + "p95": scores["p95"], + "max_gap_below_threshold": scores["max_gap_below_threshold"], + "closest": closest, + "inserted_count_mean": row["inserted_count_mean"], + "utf8_overhead_mean": row["utf8_overhead_mean"], + "token_count_delta_mean": row.get("token_count_delta_mean"), + "transformed_token_count_max": row.get("transformed_token_count_max"), + "cap_bind_watermarked": row.get("cap_bind_watermarked"), + "domains": [ + { + "domain": item["domain"], + "watermarked_n": item["watermarked_n"], + "raw_detected": item["raw_detected"], + "max": item["scores"]["max"], + } + for item in row.get("domains") or () + ], + "sanitizers": row.get("sanitizers"), + } + + +def _merge_domains(rows: list[dict[str, object]]) -> list[dict[str, object]]: + buckets: dict[str, dict[str, object]] = {} + for row in rows: + for item in row.get("domains") or (): + domain = str(item["domain"]) + bucket = buckets.setdefault( + domain, + {"domain": domain, "watermarked_n": 0, "raw_detected": 0, "max": None}, + ) + bucket["watermarked_n"] = int(bucket["watermarked_n"]) + int(item["watermarked_n"]) + bucket["raw_detected"] = int(bucket["raw_detected"]) + int(item["raw_detected"]) + maximum = item["scores"]["max"] + if maximum is not None: + previous = bucket["max"] + bucket["max"] = maximum if previous is None else max(float(previous), float(maximum)) + return [buckets[key] for key in sorted(buckets)] + + +def _frozen_sanitizers_match_raw(rows: list[dict[str, object]]) -> bool: + for row in rows: + raw = int(row["raw_watermarked_detected"]) + sanitizers = row.get("sanitizers") or {} + for payload in sanitizers.values(): + if int(payload["watermarked_detected"]) != raw: + return False + return bool(rows) + + +def _roundtrip_status(local: dict[str, object]) -> dict[str, str]: + roundtrips = local["roundtrips"] + return {name: str(payload["status"]) for name, payload in roundtrips.items()} + + +def _render_status(local: dict[str, object]) -> dict[str, object]: + rendering = local.get("rendering") or [] + summary = { + "chromium_pre": "UNKNOWN", + "chromium_textarea": "UNKNOWN", + "chromium_contenteditable": "UNKNOWN", + "webkit_safari": "UNKNOWN", + "terminal_pixels": "UNKNOWN", + "rows": [], + } + for row in rendering: + render = row["render"] + summary["rows"].append( + { + "fixture_id": row["fixture_id"], + "chromium_pre": render["chromium_pre"].get("status"), + "chromium_textarea": render["chromium_textarea"].get("status"), + "chromium_contenteditable": render["chromium_contenteditable"].get("status"), + "webkit_safari": render["webkit_safari"].get("status"), + "terminal_pixels": render["terminal_pixels"].get("status"), + "terminal_display_width": render["terminal_display_width"].get("status"), + } + ) + pre = render["chromium_pre"].get("status") + if pre == "REJECTED": + summary["chromium_pre"] = "REJECTED" + elif pre == "VERIFIED" and summary["chromium_pre"] != "REJECTED": + summary["chromium_pre"] = "VERIFIED" + textarea = render["chromium_textarea"].get("status") + if textarea == "REJECTED": + summary["chromium_textarea"] = "REJECTED" + elif textarea == "VERIFIED" and summary["chromium_textarea"] != "REJECTED": + summary["chromium_textarea"] = "VERIFIED" + editable = render["chromium_contenteditable"].get("status") + if editable == "REJECTED": + summary["chromium_contenteditable"] = "REJECTED" + elif editable == "VERIFIED" and summary["chromium_contenteditable"] != "REJECTED": + summary["chromium_contenteditable"] = "VERIFIED" + return summary + + +def build_scorecard( + local: dict[str, object], + *, + environment: dict[str, object], + detector_stats: list[dict[str, object]], +) -> dict[str, object]: + letter_primary = _pick(detector_stats, 980000, CYCLE8_U034F_LETTER_ARM_ID) + letter_replication = _pick(detector_stats, 990000, CYCLE8_U034F_LETTER_ARM_ID) + space_primary = _pick(detector_stats, 980000, CYCLE8_U034F_SPACE_ARM_ID) + space_replication = _pick(detector_stats, 990000, CYCLE8_U034F_SPACE_ARM_ID) + letter_930 = _pick(detector_stats, 930000, CYCLE8_U034F_LETTER_ARM_ID) + letter_940 = _pick(detector_stats, 940000, CYCLE8_U034F_LETTER_ARM_ID) + letter_970 = _pick(detector_stats, 970000, CYCLE8_U034F_LETTER_ARM_ID) + space_930 = _pick(detector_stats, 930000, CYCLE8_U034F_SPACE_ARM_ID) + space_940 = _pick(detector_stats, 940000, CYCLE8_U034F_SPACE_ARM_ID) + fresh = [row for row in (letter_primary, letter_replication) if row is not None] + fresh_pairs = sum(int(row["pair_count"]) for row in fresh) + fresh_detected = sum(int(row["raw_watermarked_detected"]) for row in fresh) + fresh_uw = sum(int(row["raw_unwatermarked_detected"]) for row in fresh) + max_scores = [ + float(row["raw_watermarked_scores"]["max"]) + for row in fresh + if row["raw_watermarked_scores"]["max"] is not None + ] + gaps = [ + float(row["raw_watermarked_scores"]["max_gap_below_threshold"]) + for row in fresh + if row["raw_watermarked_scores"]["max_gap_below_threshold"] is not None + ] + space_fresh = [row for row in (space_primary, space_replication) if row is not None] + space_fresh_pairs = sum(int(row["pair_count"]) for row in space_fresh) + space_fresh_detected = sum(int(row["raw_watermarked_detected"]) for row in space_fresh) + experimental = [row for row in (letter_930, letter_940, letter_970) if row is not None] + experimental_pairs = sum(int(row["pair_count"]) for row in experimental) + experimental_detected = sum(int(row["raw_watermarked_detected"]) for row in experimental) + thinnest = min(gaps) if gaps else None + thickest_max = max(max_scores) if max_scores else None + roundtrips = _roundtrip_status(local) + render = _render_status(local) + performance = local["performance"] + stress = local.get("stress") or {} + ready_reasons = [ + "fresh letter-x1 980000 max score sits 0.003 below the frozen threshold", + "experimental 0/192 is 128 seen diagnostic plus 64 independent, not a preregistered confirmation protocol", + "letter-x1 is not frozen and is not in release_transform_registry()", + "seed 950000 remains ungenerated", + "Mn-strip and default-ignorable-strip remove U+034F", + "this benchmark is measurement, not confirmation", + ] + payload = { + "algorithm_version": CYCLE8_BENCHMARK_VERSION, + "confirmation": False, + "freeze": False, + "product_authorized": False, + "evidence_label": "HYPOTHESIS", + "decision": "PROMISING_DEVELOPMENT", + "formal_confirmation_readiness": { + "ready": False, + "label": "NOT_READY", + "reasons": ready_reasons, + }, + "release_registry_empty": release_transform_registry().rules == (), + "mechanism_id": CYCLE8_U034F_LETTER_ARM_ID, + "detector": { + "model": environment["model"], + "model_revision": environment["model_revision"], + "implementation": "cycle8_hf Hugging Face SynthID Weighted Mean", + "threshold": environment["threshold"], + "comparison": environment["comparison"], + "fpr_assumption": environment["fpr_assumption"], + "tokenizer": "Hugging Face GPT-2 tokenizer via cycle8_hf encoder", + "environment_hash": environment["environment_hash"], + }, + "effectiveness": { + "fresh_letter_x1": { + "label": "HYPOTHESIS", + "pairs": fresh_pairs, + "raw_watermarked_detected": fresh_detected, + "raw_unwatermarked_detected": fresh_uw, + "rate": None if not fresh_pairs else f"{fresh_detected}/{fresh_pairs}", + "max_score": thickest_max, + "min_gap_below_threshold": thinnest, + "980000": _compact_row(letter_primary), + "990000": _compact_row(letter_replication), + "domains": _merge_domains(fresh), + }, + "fresh_space_x1_same_corpora": { + "label": "HYPOTHESIS", + "pairs": space_fresh_pairs, + "raw_watermarked_detected": space_fresh_detected, + "rate": None if not space_fresh_pairs else f"{space_fresh_detected}/{space_fresh_pairs}", + "980000": _compact_row(space_primary), + "990000": _compact_row(space_replication), + }, + "experimental_0_of_192": { + "label": "HYPOTHESIS", + "pairs": experimental_pairs, + "detected": experimental_detected, + "rate": None if not experimental_pairs else f"{experimental_detected}/{experimental_pairs}", + "seen_pairs": 128, + "independent_pairs": 64, + "seen_seeds": [930000, 940000], + "independent_seed": 970000, + "930000": _compact_row(letter_930), + "940000": _compact_row(letter_940), + "970000": _compact_row(letter_970), + }, + "space_x1_frozen_historical": { + "label": "HYPOTHESIS", + "930000_n64": "1/64" if space_930 is None else f"{space_930['raw_watermarked_detected']}/{space_930['pair_count']}", + "940000_n64": "0/64" if space_940 is None else f"{space_940['raw_watermarked_detected']}/{space_940['pair_count']}", + "combined": "1/128", + }, + }, + "visibility": { + "label": "VERIFIED" if local["visible_failures"] == [] else "REJECTED", + "fixture_pass_rate": local["visible_pass_rate"], + "fixture_failures": local["visible_failures"], + "cli_identity": local["cli_identity"], + "rendering": render, + }, + "durability": { + "roundtrips": roundtrips, + "frozen_sanitizers_match_raw_on_fresh_letter": _frozen_sanitizers_match_raw(fresh), + "stress": stress, + }, + "safety": { + "protected_pass_rate": local["protected_pass_rate"], + "supported_domain_fail_closed_non_ascii": True, + "fail_closed_fixture_ids": stress.get("fail_closed_fixture_ids"), + }, + "efficiency": { + "letter_cap": 192, + "fresh_inserted_count_mean": ( + sum(float(row["inserted_count_mean"]) for row in fresh) / len(fresh) if fresh else None + ), + "fresh_utf8_overhead_mean": ( + sum(float(row["utf8_overhead_mean"]) for row in fresh) / len(fresh) if fresh else None + ), + "fresh_token_count_delta_mean": ( + sum(float(row["token_count_delta_mean"] or 0) for row in fresh) / len(fresh) if fresh else None + ), + "fresh_transformed_token_count_max": ( + max(int(row["transformed_token_count_max"] or 0) for row in fresh) if fresh else None + ), + "fresh_cap_bind_watermarked": sum(int(row.get("cap_bind_watermarked") or 0) for row in fresh), + "approaches_gpt2_context_limit": any(bool(row.get("approaches_gpt2_context_limit")) for row in fresh), + }, + "performance": { + "label": "SOURCE-BOUND", + "short_transform_mean_ms": performance["short"]["transform_mean_ms"], + "medium_transform_mean_ms": performance["medium"]["transform_mean_ms"], + "long_transform_mean_ms": performance["long"]["transform_mean_ms"], + "short_chars_per_s": performance["short"]["transform_chars_per_s"], + "medium_chars_per_s": performance["medium"]["transform_chars_per_s"], + "long_chars_per_s": performance["long"]["transform_chars_per_s"], + "host": performance.get("host"), + "python": performance.get("python"), + "cpu_count": performance.get("cpu_count"), + }, + "reproducibility": { + "deterministic_output": local["determinism"]["deterministic"], + "determinism_unique_hashes": local["determinism"]["unique_hashes"], + "fresh_independent_corpora": len(fresh), + "fresh_letter_zero_on_both_corpora": fresh_detected == 0 and fresh_pairs == 128, + }, + "platform": { + "linux_this_host": "VERIFIED", + "macos_cli_identity": "SOURCE-BOUND", + "windows_cli_identity": "SOURCE-BOUND", + "detail": "Package E2E on CI covers CLI identity on Linux/macOS/Windows. Letter-x1 is development-only Python and was executed on this Linux host.", + }, + "baselines": { + "identity": "HISTORICAL_ONLY", + "cycle6_visible_spacing": "PRODUCT_DISQUALIFIED", + "cycle7_visible_edit": "PRODUCT_DISQUALIFIED", + "u200c_space_x1": "REJECTED", + "u034f_space_x1": "HYPOTHESIS", + "u034f_letter_x1": "HYPOTHESIS", + }, + "weaknesses": [ + "Mn-strip removes U+034F", + "default-ignorable-strip removes U+034F", + "latin-1 cannot roundtrip U+034F", + "ordinary vim save may append a trailing newline", + "exact-byte search for substrings such as do not can miss after intra-word insertion", + "selected-site cap 192 binds on 106 of 128 fresh watermarked rows", + "980000 max score 0.55407 leaves only about 0.003 margin", + "Safari/WebKit rendering is UNKNOWN on this Linux host", + "terminal pixel equality is UNKNOWN", + "accessibility/screen-reader behavior is UNKNOWN", + "macOS and Windows letter-x1 transform execution is SOURCE-BOUND, not re-run here", + ], + "environment_hash": environment["environment_hash"], + "local_artifact_hash": local["artifact_hash"], + "detector_stats": [ + { + "seed_base": row["seed_base"], + "pair_count": row["pair_count"], + "arm_id": row["arm_id"], + "stats_hash": row["stats_hash"], + } + for row in detector_stats + ], + } + return {**payload, "scorecard_hash": sha256_json(payload)} + + +def scorecard_markdown(scorecard: dict[str, object]) -> str: + letter = scorecard["effectiveness"]["fresh_letter_x1"] + space = scorecard["effectiveness"]["fresh_space_x1_same_corpora"] + experimental = scorecard["effectiveness"]["experimental_0_of_192"] + frozen_space = scorecard["effectiveness"]["space_x1_frozen_historical"] + vis = scorecard["visibility"] + dur = scorecard["durability"] + safety = scorecard["safety"] + eff = scorecard["efficiency"] + perf = scorecard["performance"] + repro = scorecard["reproducibility"] + plat = scorecard["platform"] + detector = scorecard["detector"] + render = vis["rendering"] + lines = [ + "# Cycle 8 letter-x1 system benchmark scorecard", + "", + "Measurement, not confirmation. Letter-x1 is not in `release_transform_registry()`.", + f"Evidence label: `{scorecard['evidence_label']}`. Decision: `{scorecard['decision']}`.", + f"Formal confirmation readiness: `{scorecard['formal_confirmation_readiness']['label']}`.", + "", + "## Detector", + "", + f"- model: `{detector['model']}`", + f"- revision: `{detector['model_revision']}`", + f"- implementation: {detector['implementation']}", + f"- threshold: `{detector['threshold']}`", + f"- comparison: `{detector['comparison']}`", + f"- FPR assumption: {detector['fpr_assumption']}", + "", + "## Effectiveness", + "", + "| Claim | Result | Label |", + "| --- | --- | --- |", + f"| Fresh letter-x1 raw WM | {letter['rate']} | `{letter['label']}` |", + f"| Fresh letter-x1 raw UW | {letter['raw_unwatermarked_detected']}/{letter['pairs']} | `{letter['label']}` |", + f"| Fresh letter-x1 max score | {letter['max_score']} | `{letter['label']}` |", + f"| Fresh letter-x1 min gap below threshold | {letter['min_gap_below_threshold']} | `{letter['label']}` |", + f"| Fresh space-x1 on the same corpora | {space['rate']} | `{space['label']}` |", + f"| Experimental letter-x1 0/192 | {experimental['rate']} ({experimental['seen_pairs']} seen + {experimental['independent_pairs']} independent) | `{experimental['label']}` |", + f"| Frozen historical space-x1 930000+940000 | {frozen_space['combined']} | `{frozen_space['label']}` |", + "", + "Do not collapse experimental 0/192 into the fresh 0/128. Do not call either result formal confirmation.", + "", + "### Fresh per-domain letter-x1", + "", + "| Domain | n | detected | max score |", + "| --- | ---: | ---: | ---: |", + ] + for item in letter["domains"]: + lines.append( + f"| {item['domain']} | {item['watermarked_n']} | {item['raw_detected']} | {item['max']} |" + ) + lines.extend( + [ + "", + "## Visibility", + "", + f"- fixture visible-projection: `{vis['fixture_pass_rate']}` `{vis['label']}`", + f"- failures: {vis['fixture_failures'] or 'none'}", + f"- CLI identity on `I do not agree.`: `{vis['cli_identity']}`", + f"- Chromium `pre`: `{render['chromium_pre']}`", + f"- Chromium textarea: `{render['chromium_textarea']}`", + f"- Chromium contenteditable: `{render['chromium_contenteditable']}`", + f"- WebKit/Safari: `{render['webkit_safari']}`", + f"- terminal pixels: `{render['terminal_pixels']}`", + "", + "## Durability", + "", + ] + ) + for name, status in dur["roundtrips"].items(): + lines.append(f"- {name}: `{status}`") + lines.extend( + [ + "", + f"- frozen sanitizers match raw on fresh letter: `{dur['frozen_sanitizers_match_raw_on_fresh_letter']}`", + f"- Mn-strip removes carrier: `{dur['stress'].get('mn_strip_removes_carrier')}`", + f"- default-ignorable-strip removes carrier: `{dur['stress'].get('default_ignorable_strip_removes_carrier')}`", + f"- Cf-strip preserves carrier: `{dur['stress'].get('cf_strip_preserves_carrier')}`", + "", + "## Safety", + "", + f"- protected-span pass rate: `{safety['protected_pass_rate']}`", + f"- non-ASCII fail closed: `{safety['supported_domain_fail_closed_non_ascii']}`", + "", + "## Efficiency", + "", + f"- selected-site cap: `{eff['letter_cap']}`", + f"- fresh mean insertions: `{eff['fresh_inserted_count_mean']}`", + f"- fresh mean UTF-8 overhead bytes: `{eff['fresh_utf8_overhead_mean']}`", + f"- fresh mean token-count delta: `{eff['fresh_token_count_delta_mean']}`", + f"- fresh max transformed token count: `{eff['fresh_transformed_token_count_max']}`", + f"- fresh cap-binding watermarked rows: `{eff['fresh_cap_bind_watermarked']}`", + f"- approaches GPT-2 1024 context: `{eff['approaches_gpt2_context_limit']}`", + "", + "## Performance", + "", + f"- label: `{perf['label']}`", + f"- short mean transform: `{perf['short_transform_mean_ms']}` ms", + f"- medium mean transform: `{perf['medium_transform_mean_ms']}` ms", + f"- long mean transform: `{perf['long_transform_mean_ms']}` ms", + f"- host: `{perf['host']}`", + f"- python: `{perf['python']}`", + f"- cpu_count: `{perf['cpu_count']}`", + "", + "## Reproducibility", + "", + f"- deterministic output: `{repro['deterministic_output']}`", + f"- fresh independent corpora: `{repro['fresh_independent_corpora']}`", + f"- letter zero on both fresh corpora: `{repro['fresh_letter_zero_on_both_corpora']}`", + "", + "## Platform", + "", + f"- Linux this host: `{plat['linux_this_host']}`", + f"- macOS CLI identity: `{plat['macos_cli_identity']}`", + f"- Windows CLI identity: `{plat['windows_cli_identity']}`", + f"- {plat['detail']}", + "", + "## Weaknesses", + "", + ] + ) + for item in scorecard["weaknesses"]: + lines.append(f"- {item}") + lines.extend( + [ + "", + f"scorecard_hash: `{scorecard['scorecard_hash']}`", + "", + ] + ) + return "\n".join(lines) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-letter-system-benchmark") + parser.add_argument("--output-dir", type=Path, default=Path("evidence/cycle8-letter-system-benchmark-2026-08-26")) + parser.add_argument("--skip-local", action="store_true") + parser.add_argument("--skip-render", action="store_true") + args = parser.parse_args(argv) + output = args.output_dir + output.mkdir(parents=True, exist_ok=True) + environment = environment_payload() + write_canonical_json_fsynced(output / "environment.json", environment) + if args.skip_local and (output / "local-system.json").is_file(): + local = _load(output / "local-system.json") + else: + local = run_local_system_benchmark(include_render=not args.skip_render) + write_canonical_json_fsynced(output / "local-system.json", local) + detector_paths = ( + (Path("evidence/cycle8-letter-930000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_LETTER_ARM_ID), + (Path("evidence/cycle8-letter-940000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_LETTER_ARM_ID), + (Path("evidence/cycle8-letter-970000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_LETTER_ARM_ID), + (Path("evidence/cycle8-scale-930000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_SPACE_ARM_ID), + (Path("evidence/cycle8-scale-940000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_SPACE_ARM_ID), + (Path("evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_LETTER_ARM_ID), + (Path("evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_LETTER_ARM_ID), + (Path("evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_SPACE_ARM_ID), + (Path("evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json"), CYCLE8_U034F_SPACE_ARM_ID), + ) + detector_stats = [] + for path, arm_id in detector_paths: + row = _maybe_enrich(path, arm_id) + if row is not None: + detector_stats.append(row) + write_canonical_json_fsynced( + output / "detector-stats.json", + {"rows": detector_stats, "artifact_hash": sha256_json({"rows": detector_stats})}, + ) + scorecard = build_scorecard(local, environment=environment, detector_stats=detector_stats) + write_canonical_json_fsynced(output / "scorecard.json", scorecard) + (output / "scorecard.md").write_text(scorecard_markdown(scorecard), encoding="utf-8") + names = [ + "environment.json", + "local-system.json", + "detector-stats.json", + "scorecard.json", + "scorecard.md", + "methodology.md", + "README.md", + ] + lines = [f"{sha256_file(output / name)} {name}" for name in names if (output / name).is_file()] + (output / "SHA256SUMS.txt").write_text("\n".join(lines) + "\n", encoding="utf-8") + print( + canonical_json_text( + { + "scorecard_hash": scorecard["scorecard_hash"], + "visible_pass_rate": local["visible_pass_rate"], + "fresh_letter_rate": scorecard["effectiveness"]["fresh_letter_x1"]["rate"], + "formal_confirmation_readiness": scorecard["formal_confirmation_readiness"]["label"], + } + ), + flush=True, + ) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/fuckmark/cycle8_benchmark_hf.py b/fuckmark/cycle8_benchmark_hf.py new file mode 100644 index 00000000..5c47493f --- /dev/null +++ b/fuckmark/cycle8_benchmark_hf.py @@ -0,0 +1,67 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_BENCHMARK_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_letter_benchmark_generation_seed + + +CYCLE8_BENCHMARK_DETECTOR_VERSION = "cycle8-letter-system-benchmark-detector-v1" + + +def run_cycle8_letter_benchmark_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + pair_count: int = CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_letter_benchmark_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=CYCLE8_BENCHMARK_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_BENCHMARK_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-letter-benchmark-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_LETTER_BENCHMARK_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) + assert_new_cycle8_letter_benchmark_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path( + f"evidence/cycle8-letter-benchmark-{args.seed_base}-n{args.pair_count}-2026-08-26/detector-compare.json" + ) + detector = run_cycle8_letter_benchmark_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=CYCLE8_U034F_LETTER_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 24fc246f..cf5cf485 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -32,6 +32,10 @@ CYCLE8_DENSITY_EXPLORATORY_TOPIC, CYCLE8_LETTER_EXPLORATORY_ROLE, CYCLE8_LETTER_EXPLORATORY_TOPIC, + CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE, + CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE, + CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -157,7 +161,11 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_DENSITY_EXPLORATORY_TOPIC if role == CYCLE8_LETTER_EXPLORATORY_ROLE: return CYCLE8_LETTER_EXPLORATORY_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, or letter seeds") + if role == CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE: + return CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC + if role == CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE: + return CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC + raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, or letter-benchmark seeds") def _generate_cycle8_samples( diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py index b501e9ef..69d0b421 100644 --- a/fuckmark/seeds/__init__.py +++ b/fuckmark/seeds/__init__.py @@ -3,6 +3,10 @@ CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_TOPIC, + CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -13,6 +17,7 @@ PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, assert_new_cycle8_density_generation_seed, assert_new_cycle8_letter_generation_seed, + assert_new_cycle8_letter_benchmark_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -26,6 +31,10 @@ "CYCLE8_DENSITY_EXPLORATORY_SEED_BASE", "CYCLE8_LETTER_EXPLORATORY_SEED_BASE", "CYCLE8_LETTER_EXPLORATORY_TOPIC", + "CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE", + "CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC", + "CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE", + "CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC", "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", "CYCLE8_SCALE_EXPLORATORY_TOPIC", "CYCLE8_SCALE_REPLICATION_SEED_BASE", @@ -36,6 +45,7 @@ "PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES", "assert_new_cycle8_density_generation_seed", "assert_new_cycle8_letter_generation_seed", + "assert_new_cycle8_letter_benchmark_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 9d3d1271..6e5c8786 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -16,11 +16,15 @@ CYCLE8_SCALE_VALIDATION_SEED_BASE = 950_000 CYCLE8_DENSITY_EXPLORATORY_SEED_BASE = 960_000 CYCLE8_LETTER_EXPLORATORY_SEED_BASE = 970_000 +CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE = 980_000 +CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE = 990_000 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling" CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" CYCLE8_DENSITY_EXPLORATORY_TOPIC = "carrier density follow-up" CYCLE8_LETTER_EXPLORATORY_TOPIC = "intra-word carrier follow-up" +CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC = "letter carrier system benchmark" +CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC = "letter carrier benchmark replication" def _row( @@ -90,6 +94,8 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _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."), _row(960000, "cycle8", "density_exploratory_development", CYCLE8_DENSITY_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. 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."), _row(970000, "cycle8", "letter_exploratory_development", CYCLE8_LETTER_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 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."), + _row(980000, "cycle8", "letter_benchmark_primary", CYCLE8_LETTER_BENCHMARK_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. 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."), + _row(990000, "cycle8", "letter_benchmark_replication", CYCLE8_LETTER_BENCHMARK_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. 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."), _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."), @@ -112,7 +118,8 @@ def global_seed_ledger_payload() -> dict[str, object]: "and is not eligible as unseen validation. Do not inspect 830000, 840000, or " "850000. Do not generate 950000 until a stronger mechanism is frozen. " "Seed 960000 is reserved for detector-blind density follow-up. " - "Seed 970000 is reserved for detector-blind intra-word letter-carrier 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." ), "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), @@ -126,6 +133,10 @@ def global_seed_ledger_payload() -> dict[str, object]: "cycle8_density_exploratory_topic": CYCLE8_DENSITY_EXPLORATORY_TOPIC, "cycle8_letter_exploratory_seed_base": CYCLE8_LETTER_EXPLORATORY_SEED_BASE, "cycle8_letter_exploratory_topic": CYCLE8_LETTER_EXPLORATORY_TOPIC, + "cycle8_letter_benchmark_primary_seed_base": CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + "cycle8_letter_benchmark_primary_topic": CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + "cycle8_letter_benchmark_replication_seed_base": CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + "cycle8_letter_benchmark_replication_topic": CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, "rows": list(rows), } @@ -190,6 +201,20 @@ def assert_new_cycle8_letter_generation_seed(seed_base: int) -> None: raise ValueError("unseen validation seeds must not be used for development generation") +def assert_new_cycle8_letter_benchmark_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_LETTER_BENCHMARK_PRIMARY_SEED_BASE, CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE}: + raise ValueError("seed_base is not a Cycle 8 letter benchmark 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-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index f186b572..50f7b4f6 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":"069425ce523c913a470648f19a9aa1dfc655e3a472edeef35b2ad9dbba86a2b2","letter_exploratory_seed_base":970000,"letter_exploratory_topic":"intra-word carrier follow-up","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. Do not inspect 830000, 840000, or 850000. 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. 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,"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":"3145a44d411530b2b2ab34fd8159e3634a2ed5ae26ea78bb9c65d2522b201cb2","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","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. Do not inspect 830000, 840000, or 850000. 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. 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 3dc3b497..4ecb6f22 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_exploratory_seed_base":970000,"cycle8_letter_exploratory_topic":"intra-word carrier follow-up","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":"e5b96a2f276506ba3e694a3143f9fc27404c99b664481c55c527c69705ef0359","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. Seed 960000 is reserved for detector-blind density follow-up. Seed 970000 is reserved for detector-blind intra-word letter-carrier follow-up."} +{"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_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":"fa19b200c5ae8650d627b7e03fabf4c56879a199145f1313b9036fe3de6ca9c9","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} diff --git a/tests/test_cycle8_benchmark.py b/tests/test_cycle8_benchmark.py new file mode 100644 index 00000000..f59b7e6e --- /dev/null +++ b/tests/test_cycle8_benchmark.py @@ -0,0 +1,43 @@ +from fuckmark.cli import process_text +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.seeds.ledger import ( + CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + assert_new_cycle8_letter_benchmark_generation_seed, +) +from fuckmark.transforms.registry import release_transform_registry + + +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["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 + non_ascii = measure_fixture_row("failclosed_non_ascii", "failclosed", "I do not agree " + chr(0x00E9) + ".") + assert non_ascii["supported_product_domain"] is False + assert non_ascii["letter"]["inserted_count"] == 0 + url = measure_fixture_row( + "machine_url", + "machine_sensitive", + "See https://example.com/do-not-touch and continue the notes.", + ) + assert url["letter"]["protected"]["pass"] is True + 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 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 + assert CYCLE8_LETTER_BENCHMARK_PAIR_COUNT == 64 + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE) + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE) + assert len(benchmark_fixtures()) >= 20 + fixtures = {fixture_id: source for fixture_id, _category, source in benchmark_fixtures()} + assert len(fixtures["long_paragraph"]) < 800 + assert "https://example.com/do-not-touch" in fixtures["machine_url"] diff --git a/tests/test_cycle8_benchmark_evidence.py b/tests/test_cycle8_benchmark_evidence.py new file mode 100644 index 00000000..77705fb9 --- /dev/null +++ b/tests/test_cycle8_benchmark_evidence.py @@ -0,0 +1,101 @@ +import json +from pathlib import Path + +from fuckmark.cycle8.benchmark import enrich_detector_artifact +from fuckmark.cycle8.compare import CYCLE8_U034F_LETTER_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID +from fuckmark.cycle8_benchmark_hf import CYCLE8_BENCHMARK_DETECTOR_VERSION +from fuckmark.hashing import sha256_file, sha256_json +from fuckmark.seeds.ledger import CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC +from fuckmark.transforms.registry import release_transform_registry + + +def _load(relative: str) -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) + + +def test_benchmark_980000_letter_and_space_are_zero_raw() -> None: + artifact = _load("evidence/cycle8-letter-benchmark-980000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "f150143125024450210e725d2ada643e5e31abcf90e3a3755481244da6089f67" + assert artifact["seed_base"] == 980000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC + assert artifact["algorithm_version"] == CYCLE8_BENCHMARK_DETECTOR_VERSION + assert artifact["detector_access_used_for_selection"] is False + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + space = artifact["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + identity = artifact["summaries"]["identity"] + assert letter["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert letter["cf_strip_watermarked_detected"] == 0 + assert letter["nfc_watermarked_detected"] == 0 + assert letter["visible_pass_count"] == 128 + assert letter["fail_closed_identity_count"] == 0 + assert float(letter["raw_watermarked_max_score"]) < 0.5570987654320988 + assert space["raw_watermarked_detected"] == 0 + assert identity["raw_watermarked_detected"] >= 60 + stats = enrich_detector_artifact(artifact, transformed_arm_id=CYCLE8_U034F_LETTER_ARM_ID) + assert stats["closest_watermarked_row"]["detected"] is False + assert stats["raw_watermarked_scores"]["max_gap_below_threshold"] > 0 + assert release_transform_registry().rules == () + + +def test_benchmark_990000_letter_is_zero_and_space_has_one_residual() -> None: + artifact = _load("evidence/cycle8-letter-benchmark-990000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "b30cbb3f53425d40d1f8a15e556b9072b6ab37a6c799a9e078ea5e6f03f74f04" + assert artifact["seed_base"] == 990000 + assert artifact["pair_count"] == 64 + assert artifact["algorithm_version"] == CYCLE8_BENCHMARK_DETECTOR_VERSION + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + space = artifact["summaries"][CYCLE8_U034F_SPACE_ARM_ID] + identity = artifact["summaries"]["identity"] + assert letter["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert letter["visible_pass_count"] == 128 + assert float(letter["raw_watermarked_max_score"]) < 0.5570987654320988 + assert space["raw_watermarked_detected"] == 1 + assert identity["raw_watermarked_detected"] == 64 + assert release_transform_registry().rules == () + + +def test_letter_system_benchmark_scorecard_is_measurement_not_confirmation() -> None: + scorecard = _load("evidence/cycle8-letter-system-benchmark-2026-08-26/scorecard.json") + body = {key: value for key, value in scorecard.items() if key != "scorecard_hash"} + assert scorecard["scorecard_hash"] == sha256_json(body) + assert scorecard["confirmation"] is False + assert scorecard["freeze"] is False + assert scorecard["product_authorized"] is False + assert scorecard["release_registry_empty"] is True + assert scorecard["evidence_label"] == "HYPOTHESIS" + assert scorecard["formal_confirmation_readiness"]["ready"] is False + assert scorecard["formal_confirmation_readiness"]["label"] == "NOT_READY" + letter = scorecard["effectiveness"]["fresh_letter_x1"] + space = scorecard["effectiveness"]["fresh_space_x1_same_corpora"] + experimental = scorecard["effectiveness"]["experimental_0_of_192"] + assert letter["rate"] == "0/128" + assert letter["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert float(letter["max_score"]) < 0.5570987654320988 + assert float(letter["min_gap_below_threshold"]) > 0 + assert space["rate"] == "1/128" + assert experimental["rate"] == "0/192" + assert experimental["seen_pairs"] == 128 + assert experimental["independent_pairs"] == 64 + assert scorecard["visibility"]["fixture_pass_rate"] == "21/21" + assert scorecard["visibility"]["fixture_failures"] == [] + assert scorecard["safety"]["protected_pass_rate"] == "21/21" + assert scorecard["reproducibility"]["deterministic_output"] is True + local = _load("evidence/cycle8-letter-system-benchmark-2026-08-26/local-system.json") + local_body = {key: value for key, value in local.items() if key != "artifact_hash"} + assert local["artifact_hash"] == sha256_json(local_body) + assert local["visible_pass_rate"] == "21/21" + assert local["cli_identity"] is True + assert release_transform_registry().rules == () + sums = (Path(__file__).resolve().parents[1] / "evidence/cycle8-letter-system-benchmark-2026-08-26/SHA256SUMS.txt").read_text(encoding="utf-8") + root = Path(__file__).resolve().parents[1] / "evidence/cycle8-letter-system-benchmark-2026-08-26" + for line in sums.splitlines(): + digest, name = line.split() + assert sha256_file(root / name) == digest diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index dd0620bc..6a113290 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -58,6 +58,9 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["density_exploratory_seed_base"] == 960_000 assert payload["letter_exploratory_seed_base"] == 970_000 assert payload["letter_exploratory_topic"] == "intra-word carrier follow-up" + assert payload["letter_benchmark_primary_seed_base"] == 980_000 + assert payload["letter_benchmark_replication_seed_base"] == 990_000 + assert payload["letter_benchmark_primary_topic"] == "letter carrier system benchmark" 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() @@ -65,6 +68,8 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert_cycle8_development_seed(930_000, role="scale_exploratory_development") assert_cycle8_development_seed(960_000, role="density_exploratory_development") assert_cycle8_development_seed(970_000, role="letter_exploratory_development") + assert_cycle8_development_seed(980_000, role="letter_benchmark_primary") + assert_cycle8_development_seed(990_000, role="letter_benchmark_replication") 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_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 37b2ec15..739dfc35 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -9,6 +9,10 @@ CYCLE8_DENSITY_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_TOPIC, + CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, + CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, + CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -17,6 +21,7 @@ PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES, assert_new_cycle8_density_generation_seed, assert_new_cycle8_letter_generation_seed, + assert_new_cycle8_letter_benchmark_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -72,6 +77,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None: bases = known_seed_bases() assert len(bases) == len(set(bases)) assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases and 970000 in bases + assert 980000 in bases and 990000 in bases density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) assert density["generated"] is True assert density["scored"] is True @@ -96,3 +102,16 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert_new_cycle8_letter_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) with pytest.raises(ValueError, match="confirmation"): assert_new_cycle8_letter_generation_seed(830000) + primary = row_for_seed_base(CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE) + assert primary["generation_topic"] == CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC == "letter carrier system benchmark" + assert primary["generated"] is True + assert primary["scored"] is True + assert primary["eligible_for_confirmation"] is False + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE) + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE) + with pytest.raises(ValueError, match="benchmark"): + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_letter_benchmark_generation_seed(830000) From f5567eaa1f85820535013c003f35c60a1851ea58 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 19:15:52 +0000 Subject: [PATCH 09/13] Record Cycle 8 letter-mix fresh 0/128 with a wider detector margin. Reserved seeds 1020000 and 1030000 before generation. Detector-blind U+034F/U+FE00 letter-alt is 0/128 raw transformed WM, mix UW 0/128, worst score 0.513691 versus threshold 0.557099. Letter-space on 1000000+1010000 remains 1/128. Not confirmation. Co-authored-by: Byte271 --- CHANGELOG.md | 2 + README.md | 8 +- docs/cycle8/README.md | 4 +- docs/cycle8/carrier-research.md | 10 +- docs/cycle8/letter-mix-margin.md | 23 ++ docs/cycle8/seed-ledger.md | 6 +- docs/seeds.md | 6 + .../README.md | 21 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 21 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 21 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 23 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../cycle8-mix-margin-2026-08-26/README.md | 75 ++++ .../SHA256SUMS.txt | 4 + .../environment.json | 1 + .../local-system.json | 1 + .../scorecard.json | 1 + fuckmark/cycle8/__init__.py | 11 + fuckmark/cycle8/compare.py | 119 ++++++- fuckmark/cycle8/decision.py | 6 + fuckmark/cycle8/ledger.py | 44 ++- fuckmark/cycle8/letter_mix.py | 149 ++++++++ fuckmark/cycle8/mix_report.py | 333 ++++++++++++++++++ fuckmark/cycle8/registry.py | 68 +++- fuckmark/cycle8_hf.py | 18 +- fuckmark/cycle8_margin_hf.py | 70 ++++ fuckmark/cycle8_mix_hf.py | 70 ++++ fuckmark/product/carriers.py | 17 +- fuckmark/seeds/__init__.py | 20 ++ fuckmark/seeds/ledger.py | 54 ++- fuckmark/transforms/cycle7_quote_policy.py | 1 + .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_carriers.py | 10 + tests/test_cycle8_letter.py | 114 +++++- tests/test_cycle8_letter_mix.py | 77 ++++ tests/test_cycle8_margin_evidence.py | 91 +++++ tests/test_cycle8_mix_evidence.py | 155 ++++++++ tests/test_global_seed_ledger.py | 42 +++ 50 files changed, 1686 insertions(+), 34 deletions(-) create mode 100644 docs/cycle8/letter-mix-margin.md create mode 100644 evidence/cycle8-margin-1000000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-margin-1000000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-margin-1000000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-margin-1000000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-margin-1010000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-margin-1010000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-margin-1010000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-margin-1010000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-1020000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-1020000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-1020000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-1030000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-1030000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-1030000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-margin-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-margin-2026-08-26/environment.json create mode 100644 evidence/cycle8-mix-margin-2026-08-26/local-system.json create mode 100644 evidence/cycle8-mix-margin-2026-08-26/scorecard.json create mode 100644 fuckmark/cycle8/letter_mix.py create mode 100644 fuckmark/cycle8/mix_report.py create mode 100644 fuckmark/cycle8_margin_hf.py create mode 100644 fuckmark/cycle8_mix_hf.py create mode 100644 tests/test_cycle8_letter_mix.py create mode 100644 tests/test_cycle8_margin_evidence.py create mode 100644 tests/test_cycle8_mix_evidence.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 13bd4cd0..f36227b2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -18,6 +18,8 @@ - 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`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 2d913a01..adae2588 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,11 @@ Cycle 8 U+034F space-carrier x1 is a `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Tin 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. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY` because the fresh 0/128 margin is thin and the experimental 0/192 is not a preregistered confirmation protocol. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`docs/cycle8/letter-system-benchmark.md`](docs/cycle8/letter-system-benchmark.md) and [`docs/seeds.md`](docs/seeds.md). +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**. Letter-x1 on those same corpora is also 0/128 (max 0.527389). Chromium mix fixtures were pixel-equal on the measured surfaces. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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`. @@ -160,7 +164,7 @@ 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 is the current strongest visible-invariant development arm (`HYPOTHESIS`): fresh reserved-before-generation **0/128** on seeds `980000`+`990000`, plus a separate experimental **0/192** (128 seen + 64 independent). It is not a release mechanism and is not formal confirmation. +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). Neither arm is a release mechanism or formal confirmation. ## Reproduce the research environment diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index 6383ba18..1edb3f0f 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`. Do not inspect `830000` / `840000` / `850000`. 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. See `docs/cycle8/letter-mix-margin.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Do not inspect `830000` / `840000` / `850000`. 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`. +See `docs/cycle8/carrier-research.md` and `docs/cycle8/letter-mix-margin.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 6a831ed7..547db4fa 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -31,7 +31,15 @@ A later system benchmark reserved seeds `980000` and `990000` before generation. Still `PROMISING_DEVELOPMENT` / `HYPOTHESIS`. Not confirmation. Not a freeze. Public CLI remains empty. Do not generate `950000`. -Intra-word insertion is no longer treated as tokenizer-diagnostic-only. It is the current strongest visible-invariant U+034F arm. +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 + +`HYPOTHESIS` / `PROMISING_DEVELOPMENT`. 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. + +Not product-authorized. Not confirmation. Formal confirmation readiness is `NOT_READY`. See `docs/cycle8/letter-mix-margin.md`. ## H3-H8 diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md new file mode 100644 index 00000000..90aa96ff --- /dev/null +++ b/docs/cycle8/letter-mix-margin.md @@ -0,0 +1,23 @@ +# Cycle 8 letter-mix margin + +Status: `HYPOTHESIS` / `PROMISING_DEVELOPMENT`. Measurement, not confirmation. + +Evidence: [`evidence/cycle8-mix-margin-2026-08-26/`](../../evidence/cycle8-mix-margin-2026-08-26/). + +The current development mechanism `u034f-ufe00-letter-alt-v1` 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 `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 + +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. + +Formal confirmation readiness: `NOT_READY`. diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index fcfeb0f6..fa81388a 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. +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. See also `docs/seeds.md`. @@ -35,5 +35,9 @@ See also `docs/seeds.md`. | 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 | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index 09809f7f..23a3c991 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -13,6 +13,8 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. ## Cycle 8 scale reservation (before generation) @@ -25,6 +27,10 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 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 | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-margin-1000000-n64-2026-08-26/README.md b/evidence/cycle8-margin-1000000-n64-2026-08-26/README.md new file mode 100644 index 00000000..66964883 --- /dev/null +++ b/evidence/cycle8-margin-1000000-n64-2026-08-26/README.md @@ -0,0 +1,21 @@ +# Cycle 8 letter-space margin detector (seed 1000000, 64 pairs) + +Measurement, not confirmation. Seed `1000000` and topic `margin robustness development` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 versus U+034F letter-space-x1 (ASCII-letter sites plus ASCII-space sites, visible-word invariants, quote-interior policy, selected-site cap 192). Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 63/64 | 63/64 | 0/64 | 128/128 | 0 | 0.70934 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.58 | 0.52346 | +| u034f-letter-space-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 189.23 | 0.52477 | + +Closest letter-space watermarked row geometry only: `cycle8-1000000-60-general_explanatory-watermarked`, 192 insertions, score 0.524771, gap 0.032328 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +On this reserved corpus letter-x1 also scored 0/64 with max 0.523457. Letter-space is not claimed to beat letter-x1 on this particular seed. The development target is a wider worst-case margin than the letter-x1 system-benchmark 980000 max 0.554066 (gap 0.003032). This fresh letter-space 0/64 meets that target. Independent replication uses reserved seed `1010000`. + +Per-domain letter-space raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Maximum transformed GPT-2 token count on scored letter-space watermarked rows is 611/1024. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-margin-1000000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-margin-1000000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..c650e57d --- /dev/null +++ b/evidence/cycle8-margin-1000000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +523bc5e97c64327e5997a11e367d91fb02621ac9c7597aac49017edc46614b60 README.md +b26aff323c9d3e5017c780c81308606607532b101aca101b7c0a1c3c6894688e decision.json +8dfafe9de95ec7e641b988122e191c010ada9d6fb28917c26d3e0f316090e302 detector-compare.json diff --git a/evidence/cycle8-margin-1000000-n64-2026-08-26/decision.json b/evidence/cycle8-margin-1000000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..b9e5f7a5 --- /dev/null +++ b/evidence/cycle8-margin-1000000-n64-2026-08-26/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 letter-space x1 rows","U+034F letter-space x1 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-letter-space-x1","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-margin-1000000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-margin-1000000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..32eac223 --- /dev/null +++ b/evidence/cycle8-margin-1000000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Set your sentence as a concise description of the topic","text_sha256":"c7852a890fac49de79e9d48193284e7c23e813927187cc403589493b38c02328"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1000000-06-conversational_prose-watermarked","seed":1000192,"text":" Don't try to pick your words and use them in a way that is easy to read.\n\n8. Never talk to a non-person.\n\nThe best example of this is when you go to a bar. You feel bad, especially about your drink. You think, \"Wow, I'm not","text_sha256":"7e6abc92bc983f24f5e50c72b24726b6d46a2994b347a17d6e649b4f6031cb80"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1000000-07-structured_instructional-unwatermarked","seed":1000224,"text":" In the experiment, we test a combination of a short sentence with a long sentence and a complex sentence.\n\nStep 1: Find out which sentence is the simplest.\n\nStep 2: Find out which sentence is the hardest.\n\nStep 3: Find out which sentence is the hardest to read.\n\n","text_sha256":"23918aa52274e96466d8f4d54abdabd31a52dde1f0d4e0f13262f12a1cb3c2f5"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1000000-07-structured_instructional-watermarked","seed":1000224,"text":" Use a series of simple instructions to apply margin robustness. If you have questions about the technique, see the Methods section.\n\nNote: A short instruction is not necessary to apply margin robustness in a program, but it is useful when learning to program. To learn about how to program a program for use in","text_sha256":"696440a930b3be46547d49500ff261dd717e51f48f950daf66384714772cce61"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1000000-08-general_explanatory-unwatermarked","seed":1000256,"text":" Do not use pseudonyms or use keywords, instead use descriptive phrases, e.g. \"I'm not going to tell you about the results of this experiment because it was done in public, but it's not possible to avoid my name when you do\"). The end result should be a simple and concise summary of the","text_sha256":"31465728f510077938b6c5ac321bd95dc948b1370bfd333c16bb0f1af5bbe487"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1000000-08-general_explanatory-watermarked","seed":1000256,"text":" You'll find it here.\n\nUse the Google Docs, a popular tool for getting documents to you, to get your project on the agenda.\n\nDocumentation\n\nDocumentation is one of the most important parts of your website.\n\nI've included a lot of documentation in this article. Some","text_sha256":"24cab925b9df265ec68c18bed45240722ce99ce99417d478d866bdb719e4a329"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1000000-09-technical_explanation-unwatermarked","seed":1000288,"text":"\n\nWrite a test that shows the expected behavior of a particular operation.\n\nWrite a test that shows the expected behavior of a particular operation. Check that the user responds to a request.\n\nWrite a test that shows the expected behavior of a particular operation. Use the tests to test the user's response to","text_sha256":"368f32a73a44f012c12423f347b42a9c97d36557fee043eb92cc89f708791def"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1000000-09-technical_explanation-watermarked","seed":1000288,"text":" Use a test suite to test an input. Create a test suite with the following assumptions:\n\nThe test suite will need to be able to predict if a test test suite is working properly and in a consistent way.\n\nThe test suite should include at least the following features:\n\nA test suite's expected","text_sha256":"ba46c3dfe33b54f181bbef613a0147293e1c582b3a52f8b018ba9ef109907be8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1000000-10-conversational_prose-unwatermarked","seed":1000320,"text":" \"You want to understand the language? We are the language. You want to learn the language? We're the language.\" If you are willing to work through an understanding of the language, you'll win a lot of respect.\n\nIf you are willing to work through an understanding of the language, you'll win","text_sha256":"27b7b4dccd0741a3c62db4dda0dc165f307e9251bcccebb205cd167a61b42abe"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1000000-10-conversational_prose-watermarked","seed":1000320,"text":" Use a clear visual language (e.g., the text of a sentence) and concise explanations.\n\nFor example, here is an example of a sentence with a sentence structure that is not punctuation-based.\n\nIt might be easy to think of these sentences as text with a single punctuation mark.","text_sha256":"16ac12bb1cb156432d7c0e1092ced8b684f21c478623ad8d7e24075840905488"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1000000-11-structured_instructional-unwatermarked","seed":1000352,"text":" Try to explain what you have learned with examples. Do not over analyze the examples. Use an example to help you. Use the first sentence and a sentence from the next sentence. Example 1: The three-step instructions are now the same, but the sentence with the same margin will be called \"The Three Step Instructions","text_sha256":"3fb5a46fd71707f36f976a7dd88c25cc53b65873e22005f2fa0f423636687f96"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1000000-11-structured_instructional-watermarked","seed":1000352,"text":" Use a series of simple steps and add more steps. Step 1: Create a line of code (a single line) in the first paragraph of the note.\n\nStep 2: Make the following three points:\n\n1. The line should not be too long.\n\n2. When adding a step,","text_sha256":"23d04d24c799597f3e5e9b2bbb010e0b912482f2b4d35ee9ea0d1f48739731c9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1000000-12-general_explanatory-unwatermarked","seed":1000384,"text":"\n\n2. If you've got an idea for an algorithm, explain how it can be improved.\n\n3. Don't make it too clear.\n\n4. Don't let your colleagues know that you're planning to do a big project.\n\n5. Do not show your colleagues the project or","text_sha256":"e88161c269018ea55db0c88a31c125feea94643851f23e59ef37b1f626475d6b"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1000000-12-general_explanatory-watermarked","seed":1000384,"text":" Use a list of the following three numbers to describe the value of a point, and use a list of the following three numbers to describe the value of a line: \\begin{align} \\left( \\frac{\\partial}{2\\right)}{\\partial}{2\\right)}{\\partial}{2\\","text_sha256":"c54155e74e6c8972c12689538b56cb0c5602d291a6cc9d5bc322eb9d20c5574c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1000000-13-technical_explanation-unwatermarked","seed":1000416,"text":"\n\n5.1.1. Constraints on C++ and C++11 C++ and C++11 can be tested by using the C++11 compiler's built-in feature checking tool. This tool can test C++11. It is available as a standalone executable.\n\n5.1.","text_sha256":"1b12b54ae80ad3dcbbee1be8080ad1099ba521a680a3a53691a7c744fffbf54b"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1000000-13-technical_explanation-watermarked","seed":1000416,"text":"\n\nUse a single line of code for the validation check. Use the same code for the validation check. Define the main idea, one failure mode, and one validation check. Use a single line of code for the validation check. Define the main idea, one failure mode, and one validation check. Use","text_sha256":"acf2fb9c71b9c185a47efa5dd6c21c4bf07ad3852daf29ff00b3ce958bc5f9ca"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1000000-14-conversational_prose-unwatermarked","seed":1000448,"text":"\n\nKeep your audience engaged. Make sure the audience knows your audience. Don't have one that is not listening to you.\n\nKeep your audience engaged. Make sure the audience knows your audience. Don't have one that is not listening to you. Make sure your audience is getting what you are trying to say","text_sha256":"b1f0f950164994d5be89deb6cff420eea39c6dbec6248e5bfcd2e5b893b55fe5"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1000000-14-conversational_prose-watermarked","seed":1000448,"text":" Use a \"noun-word-spoilers\" approach. Make sure to include descriptive language and avoid the use of \"we\" and \"you\" in sentences that could indicate that the person is not aware of you. If the sentence is long enough, you can use a \"long pause\" to let the","text_sha256":"8f670c7318d66d1449bd08727c4c48ffdb29db1b2c1fbf9111015b665564f6a6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1000000-15-structured_instructional-unwatermarked","seed":1000480,"text":"\n\nUse single-word results to estimate the degree of robustness.\n\nAssess whether the output of the two methods are correct.\n\nFigure 5: An example of a three-step test of conditional branching.\n\nFigure 6: Using the same three-step approach in a separate paper, we","text_sha256":"628c74caf3706b14315b9ca596b54af03cb11b479633d099b628cf6dc2c9e4bb"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1000000-15-structured_instructional-watermarked","seed":1000480,"text":" Use a series of step blocks with a margin level between step 1 and step 5. Use a series of step blocks with a margin level between step 2 and step 3. When using a single step block, use two-step step blocks. The resulting code must be fast, but code may be optimized with an improved margin","text_sha256":"023d7226219de17ec19b4c777f7ca7d665ab248f08d0c5aa0296ddece62dd4db"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1000000-16-general_explanatory-unwatermarked","seed":1000512,"text":"\n\nWrite one coherent paragraph without a list. Write one coherent paragraph with a few sentences.\n\nWrite one coherent paragraph without a list. Create a \"document\" with a list of citations and citations to add to the document.\n\nWrite one coherent paragraph without a list. Create a \"document\" with a","text_sha256":"08f7603da3a6dbcacd494ac7a3d24e90a4e84681613d9b0c8dbd2ccd34dad7b3"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1000000-16-general_explanatory-watermarked","seed":1000512,"text":" Use a good writing style and clear grammar that makes writing good.\n\nI have an editor in the Department of Physics at the University of Toronto. I'm writing a paper on the topic of margin robustness. He and I meet every year at conferences. In the spring I am working on a paper about margin robust","text_sha256":"65a6d9f0394e997573e2a5ed16c6162bf33f19d2279953a663759340fb1d9111"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1000000-17-technical_explanation-unwatermarked","seed":1000544,"text":" Define the validation check, which does the validation check.\n\nThe validation check performs the validation check on all the code, and the main result is that the code is correctly validated. For example, if the test passes, it is safe to say the test is successfully evaluated and the code is safe to say that","text_sha256":"ffce89765dfea28982d3139cb75c97f2466522210a0a0bfcaa21af153e5b30f0"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1000000-17-technical_explanation-watermarked","seed":1000544,"text":" Define an environment variable named \"dns\", \"dnsmasq\", or \"dnsmasqmasq_validate\", which will be used to run a validation check against the DNSmasq file. The validity check will run and fail once. This function will not be called by a client, but","text_sha256":"b1315f63bb28bd880f4c8b9ade646fd102b2cbbef85219e46f3d53a1482c80ef"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1000000-18-conversational_prose-unwatermarked","seed":1000576,"text":"\n\nTry using a more non-dominant set of terms, and focus your language on phrases that are less verbose. This could include language like, \"I got a job offer\" or \"my mom's got a nice job\"\n\nAvoid phrasing in which you are trying to explain why you are","text_sha256":"a12650368c9fcdd9b84800b143751b0e56f024643749b63daf0f07f161d7fd84"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1000000-18-conversational_prose-watermarked","seed":1000576,"text":"\n\nAs with the more traditional style of interviewing, the goal is to show your interviewer that you know a lot about the person, and that you're well aware of their emotional and mental states. It's your job to make sure they know that, and to explain why that's important.\n\nYou can't","text_sha256":"f311650fd3eefe55bf259ae632ac265cd90d302155d5a6757fdbb3f3ac7a050b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1000000-19-structured_instructional-unwatermarked","seed":1000608,"text":"\n\nLearn to program with a language that is not yet fully developed. Use words and phrases that you can learn to write and write with. If you learn an alphabet, you'll quickly learn how to program.\n\nRead a sentence or a sentence fragment from a book. Write a sentence or sentence fragment that describes","text_sha256":"c492c552fb276348649a65768bd0b5bc283bce3716b1dff0e5bd683119d412d2"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1000000-19-structured_instructional-watermarked","seed":1000608,"text":" Create a matrix of the following:\n\n1 x 2 x 3.4 x 5.6 x 6.3 x 7.3 x 8.3 x 9.3 x 10.3 x 11.3 x 12.3 x 13.3 x 14.3 x 15.3 x 16.3","text_sha256":"763897ddbad066af3d91f2b26b842c3f163dcecdd7514ae3feae80156cdfa38e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1000000-20-general_explanatory-unwatermarked","seed":1000641,"text":" A list with the following lines should be sufficient.\n\n\"The reason why margin robustness is important is that if we understand how things are done in practice we can get a better understanding of how they work in practice. We can make some generalizations about what they work, but we can't make generalizations about","text_sha256":"b6725d1e72da03d187695cdd61bbd0c40a355ab47095f2903d771f6ff51069fc"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1000000-20-general_explanatory-watermarked","seed":1000641,"text":" A list is not an answer to a question. Instead, it is a summary of one's own understanding of the problem. A list is much like a puzzle or puzzle-solving game in which one or more of the answers is based on a number of possible solutions, so that the problem itself is not too difficult","text_sha256":"acc64c4f6a4230a3197da9fee593e62b61c135a155db842d9951c5cc1d72aa67"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1000000-21-technical_explanation-unwatermarked","seed":1000672,"text":" For example, let's say you have a problem where you want to check if the test program has a testable condition. If not, it's good to make sure that you have tested the program in a way that provides a reasonable guarantee that the test program has a valid condition. That's the main idea of margin","text_sha256":"416986ebd4a1491251e56df7647d67709830171768a936eb14de609013033e42"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1000000-21-technical_explanation-watermarked","seed":1000672,"text":" For example, suppose you have a test suite that has a given feature set that is valid, and you want to test the feature set that contains the same feature set (without any of the validation checks that you have implemented, e.g., for features that do not match). In a test suite, the test suite","text_sha256":"9d0d41719575cf1c7ba88ff19f15f1e458055412a7b83b86b17b618f1bdda056"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1000000-22-conversational_prose-unwatermarked","seed":1000704,"text":" You might have a more interesting answer that works on your case.\n\n3. Avoid the \"we know, but you can't test it\" mentality. We all know that we can't test our knowledge. We can't understand why a person says \"it's not right,\" or why they'll write a column","text_sha256":"710ece61a602b76d62f7ed3883ef7aadab26dd601021400377baebccb96c35d3"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1000000-22-conversational_prose-watermarked","seed":1000704,"text":" You won't be surprised if your colleague asks something like, \"Who's your favorite musician?\" or \"What did you do last week that you don't remember?\" and you'll get a fair response.\n\n3. Find out why your colleagues are reading your articles. You don't want to be the first to","text_sha256":"ca42ee4b374983ab7fd4dcc4728f07fa150e87ac77799479cab54ab1c5961666"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1000000-23-structured_instructional-unwatermarked","seed":1000736,"text":"\n\nTested in a variety of environments. This paper is a bit of a cross-check.\n\nThe paper\n\nThis paper is a short three-step instruction for applying margin robustness development in an experiment. Use complete sentences and keep each step concrete.\n\nTested in a variety of environments","text_sha256":"d3824f4e488b9f7b3527b031421870a5f1a37f9ede7477fe98974163e74da725"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1000000-23-structured_instructional-watermarked","seed":1000736,"text":" Use a list of words in your sentence (for example, you can say \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"Hi, \"","text_sha256":"1464b237211bed807a1142766f09c9bb047db5b5ae2ad43863870e17f4bad9e1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1000000-24-general_explanatory-unwatermarked","seed":1000769,"text":"\n\nThe question is, why is the number of lines required to make a single comment so important? The answer to this question is that while a word is just a single word, the number of lines required to make a single comment is an important factor in the success of a sentence.\n\nThe importance of the","text_sha256":"02916ffc7bc5d9fad06474e2f69266843d55bd4b980953ec7dc8c6d718dba2d7"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1000000-24-general_explanatory-watermarked","seed":1000769,"text":" Use a single word of common language.\n\nUse a single word of common language. Write a concisely defined description of how margin robustness is derived. Do not use a single phrase or phrase-size in the description of how margin robustness is generated.\n\nWrite a concisely defined description of how margin","text_sha256":"24c7404915d3175525588d7d08b69c15c06858f69e998e5f068571d7963ff4e5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1000000-25-technical_explanation-unwatermarked","seed":1000800,"text":"\n\nLet's look at the main problem for this test. The problem has an underlying algorithm to be applied to the data and the problem is to identify those that can be used to optimize this data. We will also see the various test cases in a separate section. The main idea is to define a \"margin robust","text_sha256":"322fcd36a31fe73459b50861d7037a14738c971566fe429fa3eb32a2128379c7"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1000000-25-technical_explanation-watermarked","seed":1000800,"text":" Create a model of validation in which the validation checks are based on multiple validation checks and a margin to be applied to each failure.\n\nFigure 2.2. Margin robustness analysis of small and large data sets. (a) Flowchart for the data set of this study. (b) Flowchart for","text_sha256":"095141471b579d1b233cc3aed8343eb15ed7086dd602dfb6cf16b108a5abaa66"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1000000-26-conversational_prose-unwatermarked","seed":1000832,"text":" This will be a great way to get a sense of who is the authority.\n\n5. The questioner is also responsible for the content of the article\n\nMost writers don't want to focus on the text and use it as a tool to make a point. One way you can do this is by using","text_sha256":"748f825fef3fd21d7d348c799afb3e30d0947dad5bbaf0a819627d1e914cc0a2"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1000000-26-conversational_prose-watermarked","seed":1000832,"text":" This helps to keep the audience's curiosity and interest level low.\n\nIn fact, the first lesson here is that it is the audience's interest in learning about the topic that matters most when it comes to generating conversational content.\n\nLearn:\n\nLearn about the topics you are working on\n\nGet","text_sha256":"80a3d9b4dcf2abc14f1c3342ab3dd5d57a0c1648a61f388f8cecc36ba697b392"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1000000-27-structured_instructional-unwatermarked","seed":1000864,"text":" Create a sequence of three different steps for applying margin robustness development. Try to work through each step as an extension of the step that you would do with step 1.\n\nIn this experiment, a user can try out a sequence of five steps. The first step of this sequence is the initial step of the test","text_sha256":"9227217431a7ea7b8daf17118665a9214c8bdea79d018b226fdda7c8e4bfa186"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1000000-27-structured_instructional-watermarked","seed":1000864,"text":" Create a complete text file with all the steps. For example, the last line of code in the code base will give you a complete text file containing everything you need to program a cell.\n\nStep 3: Apply margin robustness development\n\nYou can apply margin robustness development as follows:\n\nIf you","text_sha256":"7f4c1b450b3d42050357811d905c94f9b48d1d471a400306c0953a5863e4ba79"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1000000-28-general_explanatory-unwatermarked","seed":1000896,"text":"\n\n4. A \"good\" scientific hypothesis is one that is very much in line with what is well known.\n\nIf your hypothesis does not account for the evidence, but is based on a hypothesis, you are not going to see evidence of the hypothesis until the evidence actually supports it.\n\nThis is","text_sha256":"e115ee232d73f726ca11e47afebddc8d828c7068067904601b0b49a1d709df63"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1000000-28-general_explanatory-watermarked","seed":1000896,"text":" Create a succinct and well-understood description of the proposed design. Include a concise and well-understood description of the proposal. The final description should be concise and well-understood. Include a detailed explanation of the proposed design. Make sure to include the following information: (1) A description of the design","text_sha256":"570ca38ab9fece459a725ef6e0dfac6f8ed8b989756c3d0c64a46252e1cbf446"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1000000-29-technical_explanation-unwatermarked","seed":1000928,"text":" What is the biggest problem and how can we improve it?\n\nThe problem of margin robustness and validation check is the same as in the problem of margin robustness and validation check.\n\nLet's go through a few scenarios and see how they can be overcome.\n\nA problem of margin robustness and","text_sha256":"ca9a147c993c5cc28b8ba25d98210d9819a5b1267325f441247e3c1c52a9986d"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1000000-29-technical_explanation-watermarked","seed":1000928,"text":" What is the biggest failure mode? How do we avoid it? How do we avoid it in parallel?\n\nIn the previous part of this series we looked at the technical challenges facing software experiments, and how we could use these challenges as a means of solving them.\n\nThe future\n\nAs with the previous","text_sha256":"45a228faa27193722a233e55d1204983857770288f2783e1a1ca5990a0c7921c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1000000-30-conversational_prose-unwatermarked","seed":1000960,"text":"\n\nI. This is what we call a \"diversity of the answer\"\n\nWhy should you use any kind of semantic (ie, \"who is a black person?\" or \"What is your favorite thing about this person?\") or semantic (ie, \"what is your favorite fact about this person?\"","text_sha256":"199abcad453508a795dc783406d18098a4212b2aa690b6f2fe33a5892e1ab664"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1000000-30-conversational_prose-watermarked","seed":1000960,"text":" Use a quick-reference and clear-cut way of presenting your story in a straightforward manner.\n\nStep 3: Pick a narrative structure to build your book. Write a set of six chapters from your story.\n\nThe first chapter is the most important chapter of your book. The next chapter is the most important","text_sha256":"bfb3e44eedd31694dd6e831e90f11257e124efcffe9b84dbcb53d279ed5d4367"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1000000-31-structured_instructional-unwatermarked","seed":1000992,"text":"\n\nIn the first example, we use a simple case of a long term memory test using two-line code, to test the notion of a margin of 1/3 of the page. We say:\n\nPage = 3.3\n\nThe margin is 1/3 of the page.\n\nThis","text_sha256":"4b08c9808daf815161050373faa3670d9e2be947ef59f0e95d269667261bf8e1"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1000000-31-structured_instructional-watermarked","seed":1000992,"text":" Use a quick and easy to follow set of steps (or multiple steps) and use a few simple steps with varying accuracy. The final result is a much more concise and clear instruction. This is a great way to do things with any sort of learning or programming language.\n\nHow to use the following code in a","text_sha256":"45d82961ade259a9d3f365e433c3f6d52b053ead1e3030d7c385329217599e80"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1000000-32-general_explanatory-unwatermarked","seed":1001025,"text":"\n\nDo you want to create a small, well-defined framework that you can use to develop your own tools and software. Let's create a framework that can be used to create small, well-defined tools and software. I've written a series of papers on margin robustness development in this blog post, and","text_sha256":"6ee5c740f0a1e4360c92f9667cf905d085b8460e48a216dff7672a2d5af51550"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1000000-32-general_explanatory-watermarked","seed":1001025,"text":" Use a clear template for your work.\n\nOne-line paragraphs are great for small teams (we'll get into that later), but if you're building a large team, then it's easy to forget the rules.\n\nA single-line paragraph is too short.\n\nIf you're not sure what","text_sha256":"8fd8780424a5225ae6a0d873d7d99592b97ad2c4300f2eb46bde744596203cd9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1000000-33-technical_explanation-unwatermarked","seed":1001056,"text":"\n\nIf the solution is accepted, make sure that the validation is successful. This means that the test will fail if your program doesn't validate, because it is a test. This could mean that your program may fail because it fails the test, but the solution is approved and you can start to work on it.","text_sha256":"4e793b83217bc05cc47db677670aee9f4c2b54c2c2c57b588b3ead5b8784e17f"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1000000-33-technical_explanation-watermarked","seed":1001056,"text":" Use a series of standardization tests to make sure that each failure mode is valid, and to define the validation process for each failure mode.\n\nFor example, we can define a validation check that specifies the validation rules for a given failure mode.\n\nclass Test(Foo::Base::Validator): def","text_sha256":"302dcac3bfe6c2fdf0034960b8b7683beb6ba264bc04aeed43f05f20fc3b446b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1000000-34-conversational_prose-unwatermarked","seed":1001088,"text":" If you know what's important, you know what's not. If you're just starting out, it's time to practice your conversational skills.\n\n1. Don't talk too much.\n\nI've already mentioned the importance of being patient.\n\nPeople will come up to you with questions that you","text_sha256":"618b5c67be4ea4c0224020dc8a1e3de9faf53d9373d7107e3c287360fb4095d4"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1000000-34-conversational_prose-watermarked","seed":1001088,"text":" Use a clear and concise introduction to the subject.\n\nWhen writing, make sure you get the right person to speak with.\n\nIf you're writing for the first time, don't forget to get the right person to speak with you.\n\nIf you're writing for the first time, try writing a","text_sha256":"ce775c8aa3a7f03fd2c27aa40c9582dba02d407fb3e3c525f2851a1ff4a01f6e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1000000-35-structured_instructional-unwatermarked","seed":1001120,"text":"\n\nWhen you're ready to start, you need to take a look at what this exercise is all about and go to http://www.paulstoogood.com/.\n\nAs I mentioned earlier, I'm not a mathematician, but I am interested in learning how to write complex mathematical functions","text_sha256":"93846e176c5ce111ff0391d7fba983e3b4f55b59353438df06876712dcac62ed"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1000000-35-structured_instructional-watermarked","seed":1001120,"text":"\n\n3.\n\nApply a few tests to get a good idea of what's going on. The test is to find out how good a model you are of the data in question.\n\n4.\n\nTest for different data types. One way to do this is to go back to the original study","text_sha256":"262609002bb9595cfbdbddefd2af2b72bbd29853b6cb609794dcc8292988f021"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1000000-36-general_explanatory-unwatermarked","seed":1001152,"text":" Include a good quote from other authors in the same paragraph. If you wish to use the same paragraph over and over, use the same syntax and grammar.\n\nIf you want to use the same paragraph over and over, use the same syntax and grammar. Be clear about your target language. Don't write about a","text_sha256":"dda313c3b7d94df041e972378e5ca902f7fe64b416de71857e9ed3b23476d4a2"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1000000-36-general_explanatory-watermarked","seed":1001152,"text":" Include information about how you got this idea from the paper and its author.\n\n4. Use the term \"full\" to describe a work of scientific design.\n\nThe term \"full\" means that a working paper, in which one or more pieces of information are used to build a consensus, is made to","text_sha256":"e9db34a862483dd7b5f1d245e69140a8540de8105e02062033b97b5886b0c951"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1000000-37-technical_explanation-unwatermarked","seed":1001184,"text":"\n\nThe main idea, one failure mode, and one validation check. Encourage a large number of reviewers to agree with the authors' reasoning and conclusions. Encourage a large number of reviewers to agree with the authors' reasoning and conclusions. Encourage a large number of reviewers to agree with the authors' reasoning and","text_sha256":"56d413383ef584634cfdef43b4b443fd7c3ac6308a72318b80c103ef664d596e"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1000000-37-technical_explanation-watermarked","seed":1001184,"text":"\n\nMake a list of the failures.\n\nTest for and reject failure modes in an attempt to figure out which is the most common.\n\nAssume you have a single failure mode and a few validation errors.\n\nCreate a function that looks like this:\n\nfunction test_failure(function","text_sha256":"0f0bf45f2e86805c0b3a9220baff0de92c10004acf285621ffecdab030851126"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1000000-38-conversational_prose-unwatermarked","seed":1001216,"text":"\n\nIncentivize your audience with your own examples and stories.\n\nLet the audience be their own expert witness.\n\nDon't use the \"this is what I saw\" phrase to describe a group of people.\n\nUse the \"what was your experience?\" phrase to describe your own experiences,","text_sha256":"5f7e92eefe3b2841ce978e4966ca8967dcf1e5a84a13c06452e9f0c39e83ddde"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1000000-38-conversational_prose-watermarked","seed":1001216,"text":"\n\nAs a general rule, when I am trying to tell a person about a topic, I always try to include the topic's name and a few words from the same name, then the listener can respond with a few more words.\n\nI'm also a huge fan of talking about technical details of some of","text_sha256":"0f57a289f5e8875aeda1005c1dee8714b8d5ec37f5e92fd759f78b5faca80f91"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1000000-39-structured_instructional-unwatermarked","seed":1001248,"text":"\n\nUse short sentences and keep each step concrete. Try to make sure the author's grammar is clear and concise, or else you'll get a really difficult translation.\n\nHave fun!\n\nP.S.: Just because it's short doesn't mean it's perfect.\n\nThis post originally appeared on","text_sha256":"843026335bbc4fa5d7e954cf1dba64bb69aebdc500a3ea67c1fd89038b40e30e"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1000000-39-structured_instructional-watermarked","seed":1001248,"text":" You'll learn to think through every possible combination of words for the end result.\n\nA more detailed explanation can be found in the book \"The End of the Story.\"\n\nI always use the word \"in\" to describe how I plan to achieve my goals. It's a good word to use to describe","text_sha256":"3d10ba9f86384b5c6b58a3c6c16015fa43ad58cc2a8d89a0d1d17bf41249e205"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1000000-40-general_explanatory-unwatermarked","seed":1001280,"text":" Write an appendix, with a footnote that explains why there are no more \"standard\" statistical procedures for determining the effect of margin robustness on the performance of a test, or one that shows that a test cannot be accurately characterized as \"the best\".\n\nWe've seen that it is possible to make a \"proof","text_sha256":"c3e93f92792f0e3c4bf034fd4c0d8024066a09376d87ff1a1531d5f9a4bac9e3"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1000000-40-general_explanatory-watermarked","seed":1001280,"text":" Don't talk about what's most important. Write a well-structured description of your work.\n\nHow to write a concise and understandable description of your work, with emphasis on your own work.\n\nHow to write a well-structured description of your work, with emphasis on your own work.\n","text_sha256":"4b3b86acd091adf7f72a00b0ba3d82ecee19bd18e4e14b633c62c2080d156583"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1000000-41-technical_explanation-unwatermarked","seed":1001312,"text":" This will be a very readable and useful document.\n\nThis is an overview.\n\nThe basic idea is that a software experiment will have the following elements:\n\nA summary of the main idea of the experiment and its test, including its validation, and the test with the expected results.\n\nA description","text_sha256":"c94b6a78e3f13f6c080f1319e6c399a0111988a8435a35c827b4808b5f318b81"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1000000-41-technical_explanation-watermarked","seed":1001312,"text":" This helps to make the code easier to read and test.\n\nThe main idea is that if a software experiment is a very short test, it would take many tries to complete.\n\nIn this example, we'll start our tests with a function that takes a number of arguments, then compares the results to a","text_sha256":"bef84ad75cf0e9301a67b57857f61961b1361a2eb6a0128b2f018b15c23b6258"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1000000-42-conversational_prose-unwatermarked","seed":1001344,"text":"\n\nMake sure the company understands the content of the questions and the content is relevant to the audience.\n\nMake sure the company has a good understanding of the problem and the target audience.\n\nUse language that speaks to the audience.\n\nUse a good grammar that is appropriate for the topic.\n\n","text_sha256":"140e1cd7a4b168648092b26c9580de3538f20f8d523eb4e1ce358e8de330e538"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1000000-42-conversational_prose-watermarked","seed":1001344,"text":" Use a simple, clear, and conversational \"thank you\" message.\n\nThe second goal of this post is to help you learn a couple of common rules for how to make web content better.\n\n1. Be a good author\n\nThe first rule of web design is that you don't need to","text_sha256":"b8dd69ba7b06108c1bbb99c9eff8e78a4fae12897c33dafd85dedc49d8160122"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1000000-43-structured_instructional-unwatermarked","seed":1001376,"text":" This is a great way to get the students motivated to learn.\n\nThe method is called \"predictive learning.\" This is a learning method that works for a wide variety of different types of problem types and it's a great way to get students to learn the same thing over and over.\n\nPredict","text_sha256":"5cc03185f53a7e6b91bc34727aa110a90bb5bc953bf650b425eb514880b5288a"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1000000-43-structured_instructional-watermarked","seed":1001376,"text":" Use a series of examples to get an idea of how to solve the problem. Let's start by trying to solve it with a simple loop that just calls out the following five lines.\n\nNow this is quite simple, it just takes one simple line to solve. I have an example of how to make the line","text_sha256":"6fe34588678af6404bb7c28a8fcd6bc25605ea9b1d6efbf994dc503f890b32f5"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1000000-44-general_explanatory-unwatermarked","seed":1001408,"text":"\n\nWrite one coherent paragraph without a list. Create and run the project yourself, for free.\n\nCreate and run the project yourself, for free. Use Google Docs to create and run test builds of your code.\n\nUse Google Docs to create and run test builds of your code. Create a","text_sha256":"b2f120cd81b3eeb7c9b541ba4ddfd066681c8ff0e4c79c9eec68c6d4940059ed"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1000000-44-general_explanatory-watermarked","seed":1001408,"text":" Use a single line of code. Don't do anything that will make it impossible for others to interpret.\n\nWhen writing code that's not compliant with the C++ standard, you can write a test for it on your own machine. You can use a script to simulate an event that is not compliant with the standard","text_sha256":"3a143184883b996ef572ae3e05483c6ca14a7835ed38b23f9ba9933e799db412"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1000000-45-technical_explanation-unwatermarked","seed":1001440,"text":"\n\nWrite a test case and a validation check.\n\nWrite a test case and a validation check. Identify the validation check that will be executed in the test case.\n\nIdentify the validation check that will be executed in the test case. Identify the validation check that will be executed in the validation","text_sha256":"321dd234657d41b9c78f6722fa4ecce9f9ee1c73fed2061e4cd61d7fb7991be6"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1000000-45-technical_explanation-watermarked","seed":1001440,"text":" Then define the validation check.\n\nWrite a summary of the results of a regression test. Use the following test to validate:\n\nA test with a test for error of the sort SortOrder method of the sort order algorithm.\n\nA test that has a test for error of the sort order algorithm. A","text_sha256":"ec3344d2d0d4e97c61c1624f1dacb5327c695724fb31f3c7d012a32e8c5ee18a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1000000-46-conversational_prose-unwatermarked","seed":1001472,"text":"\n\nDon't repeat yourself. Don't tell people that you're going to do something that they will regret for years to come.\n\nDon't be afraid to use your voice. Don't be afraid to tell someone that you're going to do something that they won't regret for years to come.\n\n","text_sha256":"cadb8aeb7fb558612ec915d3de3f3e37d25fa99176e20d241124c67ac9e52091"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1000000-46-conversational_prose-watermarked","seed":1001472,"text":"\n\nUse clear and concise information. Be concise.\n\nAvoid language that would be too long and hard to read, too difficult to understand, or too technical to understand. The key is to maintain clear, concise, and understandable language and to emphasize the important point.\n\nUse clear and concise information. Be","text_sha256":"5a879e32cb4e0fdea753e6c99b252456d28ae61234c096ae553312890a4e7768"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1000000-47-structured_instructional-unwatermarked","seed":1001504,"text":" Make sure the program is run in a quiet environment. Make sure the program is running on an automatic monitor, such as a laptop. Set up a program using the following command:\n\n$ cat /proc/sys/net/networking\n\nYou should now see a list of all processes running on the same","text_sha256":"8ce503445ae5ebdca62995bcca5fcc24a3cca21e41b25d1adedd9a5e24437063"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1000000-47-structured_instructional-watermarked","seed":1001504,"text":" Use a list of your notes to make sure you don't miss anything. Use your word count to estimate what you can do and how quickly. Then figure out the exact words you need to write to complete the sentence and add the sentences you need to work with.\n\nStep 2: Make the sentence a bit longer","text_sha256":"4cf4aa784e233b22e1f60f6bf7b34095a9f29922ce984a572e1f1117d4beae95"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1000000-48-general_explanatory-unwatermarked","seed":1001536,"text":" Include only what you believe you can demonstrate with your original data.\n\nConsider a large set of data with a large number of variables and a large number of possible outcomes (e.g., the effect of climate change on the number of children living in poverty in the United States). You could use this data to assess","text_sha256":"c468fa388c6e4d75883f240b867b484b27661ff7c1053d9f8c890398b2edf895"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1000000-48-general_explanatory-watermarked","seed":1001536,"text":" Include descriptive keywords (e.g., 'Papers' or 'Science'), not the abstract or the abstract-specific keywords you want. See the list of keywords and references at the end of this document.\n\nThe authors of this document have read and agree to the following:\n\n1.1. What","text_sha256":"f96e687a23bf555f520d38e89aba38352e086596d7d049930a8b90553812c98d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1000000-49-technical_explanation-unwatermarked","seed":1001568,"text":" Explain how the test suite is developed and how the test suite is integrated.\n\nExamples\n\nFor the first example, we will use the test suite of our project. This will involve running the following test suite:\n\n$ curl -H -O http://www.python.org/pypi/","text_sha256":"4562590cffc728c96d646d196772f953ece15f80ba4a2afe67e09bbf93d8cf07"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1000000-49-technical_explanation-watermarked","seed":1001568,"text":" Explain what's going on with the validation check, how it's working, and how you can prevent it.\n\nIn this example, we'll focus on how to make sure that if the validation check succeeds the test will fail. We'll discuss why this is important.\n\nThe main idea is that for a","text_sha256":"3ae01ccb311835cb3a03caecdcb0dd5df3e2f72d0149844c17f17d413837adde"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1000000-50-conversational_prose-unwatermarked","seed":1001600,"text":"\n\nHow Does It Work?\n\nThe best answer is: it's all in the name.\n\nAnd the real-world answer is to use natural conversational prose, which is what most of us use for our writing.\n\n\"We need to use conversational prose to get the word right.\"","text_sha256":"386c958a09ccee447d01cbaa7d6048c2ebfb92b7ae60ef7e7c0d3ec84c8d5b9c"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1000000-50-conversational_prose-watermarked","seed":1001600,"text":"\n\nDo not try to be too precise here! It is not possible to do this with the language, so you can't do it at all.\n\nLet's say you have a colleague who asks how to use the word \"curious\" in English. How do you answer that question? How does she","text_sha256":"66cb4fd451d966e4a6b7318795744867ce45eb87d222b17c49b30f78a075f3b7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1000000-51-structured_instructional-unwatermarked","seed":1001632,"text":" Make sure the steps are correct.\n\nIn order to make these steps more concrete, you will need to create a simple, easy-to-understand step by step presentation. Here's an example with some additional steps:\n\n2. Prepare a sample script that can be used to test these steps.\n","text_sha256":"139c8afcb7b087499fb7d1aa8a6085234e2ef70a03f448bda5e515e862f5c297"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1000000-51-structured_instructional-watermarked","seed":1001632,"text":" Use a single word of each instruction to describe how a word of the program will behave after it's been applied.\n\nIt can be fun to test new techniques on a set of experiments. Here are a few examples of how to test a novel technique in a few different test cases:\n\nHere are some examples","text_sha256":"ae8fd927b5ae1461b93c3218f98167311814b03c0c46a394fcbe4f9275db7deb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1000000-52-general_explanatory-unwatermarked","seed":1001664,"text":"\n\nWhat's the point of doing this if it's not the work to write it?\n\nThe point of doing this is to say that if you're writing a paper, it's a good idea to try to make it readable. If you're trying to figure out how to translate a sequence of text into","text_sha256":"0085c7612cc906bff0f7027942bef33348f88559ffb2561cd88a9b8f3e85697d"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1000000-52-general_explanatory-watermarked","seed":1001664,"text":"\n\nThis is a great way to encourage experimentation. Just say \"let me see if this works\" and you'll have a plan for the next few weeks.\n\nWhat do I mean by \"predictability\"?\n\nWe need to distinguish between \"predictability\" and \"uniqueness\". It is","text_sha256":"6fc32f40559f07bc5dc0b6edea63fa25050e9ec00c1e08e55853442a5f816db5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1000000-53-technical_explanation-unwatermarked","seed":1001696,"text":" Then test that there are no failures. This is why we use the term \"failure mode\" instead of the term \"validation check\". It is much more specific.\n\nA Failure Mode Inversion of the Error Model\n\nThe error model of regression models is like a well defined mathematical concept. It states","text_sha256":"6c9ee74830564bac760a1fef12ef88ccf2507b2c80e88c00b2db4855a536bbe8"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1000000-53-technical_explanation-watermarked","seed":1001696,"text":" Use a series of examples to illustrate the concepts. Implement a test suite, with a set of test cases, to test the underlying functionality. For example, if we have a test for the ability to build the WebSphere API, then we should also have a test suite that works on the API that should be deployed.","text_sha256":"0fa0e1c843387b61427dd7196cf3041841feecef7a4c16b6e0748aceb37ca890"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1000000-54-conversational_prose-unwatermarked","seed":1001729,"text":" Be clear about the keywords, phrasing and semantics. Give the reader an understanding of the main facts, and provide an explanation for why they are important. Remember that all of these factors are important.\n\nFor more information on the process, please visit:\n\nhttp://sportbook.w3.","text_sha256":"a21c012e5e6cfe77854806edb88f773d93981576d56b999cb3169c06db8257b4"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1000000-54-conversational_prose-watermarked","seed":1001729,"text":" Use a simple but effective style of writing, such as the common English-language style of \"I don't know\" and \"I know\". Use a simple but effective style of writing, such as the common English-language style of \"I don't know\" and \"I know\".\n\n3. Do not","text_sha256":"4764d7bcb7b372cf40b77f0cdd62b9c000aa1ec19a77a670c48547d3cfa2e677"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1000000-55-structured_instructional-unwatermarked","seed":1001760,"text":"\n\nConsider the following code:\n\n/* We'll get a number of results. The numbers are from the tests we ran when we ran the test of how far we'll be able to get the numbers to the end of the test. */ /* We'll check if we got the first value before the number,","text_sha256":"d9f23ddfb0898242fd1f8f1b092e5889eeb2b51fad77f538152496b5186ebbca"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1000000-55-structured_instructional-watermarked","seed":1001760,"text":" Use a flowchart for a quick and dirty solution.\n\nTest for conditional dependencies\n\nFor this example we will use a conditional dependency that has the following syntax:\n\n# A conditional dependency must have: a) a: the value of b) the value of c) a. the value of d)","text_sha256":"61f2a3756f2c06d9698a6b3618d512626d1bb81525d92a5b47d0bf1b3ee9c2f0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1000000-56-general_explanatory-unwatermarked","seed":1001792,"text":"\n\nI know.\n\nI hope you liked this post and that I've provided some valuable tips for those of you who want to do a bit more.\n\nYou can also follow the links on my Twitter, @FlexicalPhysics, or on Facebook.\n\nThe link to the original post","text_sha256":"f0316e4ceb5f72adbe5887eefde3e84db781ee58181af0375b8bfe9548b99c80"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1000000-56-general_explanatory-watermarked","seed":1001792,"text":"\n\nUse clear language when making decisions about your data.\n\nKeep a journal\n\nWrite journal entries or reports that cover topics that are relevant to your research and that will be relevant to the scientific community.\n\nUse clear language when writing reports or reporting on important issues in your research.\n\nUse clear","text_sha256":"2b1074902a7ce8f1bd1e96571184fdd374c42c943fc78ed4eef637b99a382c8e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1000000-57-technical_explanation-unwatermarked","seed":1001824,"text":" Use different approach for each of the validation failures. The main problem is to determine the best practice for the validation failure.\n\nAn example of validation failure mode in Python is to have one validation check and one validation check in a function:\n\ndef validate_case ( t , b ): return f ( b )","text_sha256":"e6a5a1b3574ffed998a41c4089d6688e44660df8f12af9d10d0c91827995fdeb"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1000000-57-technical_explanation-watermarked","seed":1001824,"text":" Use a single validation check in a case where it is an invariant of a normal operation.\n\nConsider the following code.\n\ndef let_test_factory () do print ( \"My test function fails to produce a given factory value\" ) print ( \"My test function produces factory value in","text_sha256":"68cd2e63b3e36bcd79f7c3d20db0871e9a5ef5aed3d92c87c51f8eca3fbaf20a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1000000-58-conversational_prose-unwatermarked","seed":1001856,"text":"\n\nI recommend having at least three paragraphs in your answers. I recommend using a good English sentence or two.\n\nFor example, \"What is the price of the next apple?\" will be a nice way to introduce your point.\n\nFor example, \"What is the price of the next apple?\" will","text_sha256":"6ec33742799ea63d51dee9d32412dfc349d532af6d30ce75d7b878fdb079b6f4"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1000000-58-conversational_prose-watermarked","seed":1001856,"text":"\n\nDo not try to be too precise or say too much.\n\nDo not rush into the idea of what to do.\n\nDo not start with a quick, simple fix or a few words, and instead give it a thought.\n\nUse words to describe things and situations that are important. Use","text_sha256":"829daec0d9ede523e9f04a34f9d382d2efe51206e8371270bd585957f4b79e6c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1000000-59-structured_instructional-unwatermarked","seed":1001888,"text":"\n\nIf the same problem is shown to be applied to another approach to a problem (for example, to the problem of computing the probability of certain numbers), then the approach to the problem would be to apply the margin robustness test.\n\n1.3.2.1. Optimization of the margin robust","text_sha256":"d61e6de4ba46ce886a827bd6d1669e4124914c7e96939e7966fea1af34065e0f"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1000000-59-structured_instructional-watermarked","seed":1001888,"text":" Use a simple but informative rule to identify and analyze the problem. This may help you to improve your understanding.\n\nStep 3: Apply edge-on edge\n\nUse a two-step instruction to apply edge-on edge development. Use complete sentences and keep each step concrete. Use a simple but informative rule to","text_sha256":"80cefc68f45fe3ee2c1a8df11842965aa204e9cf61488d24fe78321a9e8ea8e4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1000000-60-general_explanatory-unwatermarked","seed":1001920,"text":"\n\nWhen writing a workable specification, consider what is the number of steps to take when writing a specification. If there is a single point of failure, write it down. If there is multiple point of failure, write it down as well.\n\nA good idea of how to build a specification from scratch is","text_sha256":"e03b48cc4163e792f089b23c02db55b34e07b0e6d5bf9c0b762052460e997f29"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1000000-60-general_explanatory-watermarked","seed":1001920,"text":" Create a summary of the work that has been published. Be concise in your summary. If you feel confident about your work, share the work with friends and family. Encourage others to contribute. Share with your colleagues. Encourage your friends to follow along. Use your blog to engage your readers and make sense of your","text_sha256":"891c27cdbd51af0a790f180f1c9d2fa71d9d3f46c620ca97fad1d803a752c30f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1000000-61-technical_explanation-unwatermarked","seed":1001952,"text":" Provide details about the test suite. Provide examples of test suite validation checks, including the test suite validation checks for success.\n\nIntroduction\n\nThe term \"margin robustness\" (or \"margin robustness\" in the context of the underlying specification) is often applied to software design. In software, this term describes","text_sha256":"2c139beaa65900e965d716daa2b25bb84e912b0fa5d6060b2bf012772ba1e729"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1000000-61-technical_explanation-watermarked","seed":1001952,"text":" Use the following examples:\n\n1.1.1.1 : The first block of validation checks the value of the value of the object in the context of the last block.\n\n: The first block of validation checks the value of the object in the context of the last block. 1.1.2","text_sha256":"a7b1b9a91492c6e9ace15bcfa153c596723329cc3b1837623dee68dd878521fa"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1000000-62-conversational_prose-unwatermarked","seed":1001984,"text":" Avoid using a sentence structure that is too simple. Do not use the last word of a sentence, even if you can. This will make you look dumb. You are likely to be too busy using this phrase to focus on what you are doing, because you don't know what is in the sentence.\n\nYou","text_sha256":"d6c06d11a1fd4b75ec028469ee3d68b69b39ee783154c51829d0fc1079c1967f"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1000000-62-conversational_prose-watermarked","seed":1001984,"text":" Don't tell your colleague that if you use natural language you're going to be able to explain the meaning of the question. It's not fair to ask a colleague to explain a question or even the meaning of a sentence.\n\nIn fact, many companies use natural language for a variety of reasons, some of which","text_sha256":"c293ce93bad55d051be19c146800ae58d242d83feac693b874ad8ff77fb544f1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1000000-63-structured_instructional-unwatermarked","seed":1002016,"text":" (Optional) Make sure you have an idea of how to write your program.\n\nTo add to the list, add a check box or even a question for a question.\n\nSteps 1-5 are great starting points. We'll get to them in a minute.\n\nSteps 6-10","text_sha256":"fd061225099f8eb66e01590a27532b7e710c63337b11bcada464b3a8f2752f92"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1000000-63-structured_instructional-watermarked","seed":1002016,"text":" Use a list of the following statements:\n\n\"You're better at this than you have been in years!\"\n\n\"You're better at this than you have been in years!\" \"You're better at this than you have been in years!\" \"You're better at this than you have been in 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robustness development","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-margin-1010000-n64-2026-08-26/README.md b/evidence/cycle8-margin-1010000-n64-2026-08-26/README.md new file mode 100644 index 00000000..5a33a8cf --- /dev/null +++ b/evidence/cycle8-margin-1010000-n64-2026-08-26/README.md @@ -0,0 +1,21 @@ +# Cycle 8 letter-space margin detector (seed 1010000, 64 pairs) + +Measurement, not confirmation. Seed `1010000` and topic `margin robustness replication` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 versus U+034F letter-space-x1. Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 64/64 | 64/64 | 1/64 | 128/128 | 0 | 0.69482 | +| u034f-letter-x1 | **1/64** | 1/64 | 0/64 | 128/128 | 187.34 | 0.58124 | +| u034f-letter-space-x1 | **1/64** | 1/64 | 0/64 | 128/128 | 189.91 | 0.58085 | + +Do not rewrite 1/64 as zero. + +Residual geometry only: `cycle8-1010000-56-general_explanatory-watermarked`. Letter-x1: 30 insertions, score 0.581239. Letter-space: 37 insertions, score 0.580847. Identity score 0.683502. Residual text was not inspected to write lexical rules. + +Combined with independent primary seed `1000000`: letter-space **1/128** and letter-x1 **1/128** on the same reserved-before-generation pair. The residual is a short low-site row. This is not confirmation and is not a freeze. + +U+034F is not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-margin-1010000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-margin-1010000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..301ff5a3 --- /dev/null +++ b/evidence/cycle8-margin-1010000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +2105cfb8664a15ad3299670aa91b10363eec106c04506b0f0604e1575d9b6267 README.md +4c72fd1fa38f1f67f3fa872c4385e84d2baa7d483aae494a7941c2513bc4db24 decision.json +4e06602f28cd8a3a948a1f1269029c0263ca39889332cb38352551a8f91a0fb6 detector-compare.json diff --git a/evidence/cycle8-margin-1010000-n64-2026-08-26/decision.json b/evidence/cycle8-margin-1010000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..b0d128a4 --- /dev/null +++ b/evidence/cycle8-margin-1010000-n64-2026-08-26/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 letter-space x1 rows","U+034F letter-space x1 reduced raw watermarked detections without raising unwatermarked detections","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-letter-space-x1","u034f_cf_strip_watermarked_detected":1,"u034f_nfkc_cf_strip_watermarked_detected":1,"u034f_nfkc_watermarked_detected":1,"u034f_raw_unwatermarked_detected":0,"u034f_raw_watermarked_detected":1,"u034f_ws_collapse_nfkc_cf_strip_watermarked_detected":1,"u034f_ws_collapse_watermarked_detected":1,"visible_failures":0,"visible_pass_rate":"128/128"} diff --git a/evidence/cycle8-margin-1010000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-margin-1010000-n64-2026-08-26/detector-compare.json new file 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Write a paragraph that doesn't seem like it's from a source that has been optimized for speed. Avoid keywords that are irrelevant to your goal.\n\n2.1.2","text_sha256":"0c143f17785c7259d78fac8296fc7a2d94bd8e4dd4f3bd585d8def246dcaaf84"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1010000-00-general_explanatory-watermarked","seed":1010000,"text":" Use a list of plausible explanations or some other plausible explanation that will work for you.\n\nUse the following markup to create a short example to show how to understand how to write a concise summary of your papers (e.g., in a computer program or in a journal).\n\n[{ \"summary\": \"","text_sha256":"84127f18cbecdea753bc403d82831c482ec5edb042061d0f85ab2c8bc9285f0b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1010000-01-technical_explanation-unwatermarked","seed":1010032,"text":" Explain the mechanism. How do the failure modes work? 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If the server is open, and you have an active connection, the rules","text_sha256":"c4bc4462390a4f7d119a8579095f5ac98bfb67543c12cf7f959bbd4d23278a15"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1010000-02-conversational_prose-unwatermarked","seed":1010064,"text":" Try to avoid jargon and sentences that aren't as important or often heard.\n\nWhat is the best way to do this?\n\nIt's a good question. The best way to answer it is: \"In terms of the number of people who read the book, we have to be able to tell whether it","text_sha256":"9b996e1635e21ffc2503d0575410c83aa9cce39ab0aa3c7d22eb92d3c9606312"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1010000-02-conversational_prose-watermarked","seed":1010064,"text":" Try to maintain the level of abstraction and complexity. Be patient. Try to keep the language language (which may also be a little too verbose) as simple as possible.\n\n8. Don't get stuck trying to figure out why we're being a little too verbose.\n\nThe first step to this","text_sha256":"52a521bf3098a8008cd414cfc0c5a7290bbfa7fb2107022ddeaad63ece2f76f8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1010000-03-structured_instructional-unwatermarked","seed":1010096,"text":"\n\nStep 1. Prepare a sentence and save it as a PDF file.\n\nStep 2. Copy the PDF file to a folder in your computer, with the text \"Solve the problem\" in it. This file should be saved as a PDF file. This step is optional.\n\nStep 3.","text_sha256":"d5e1f411c0780b2906279c942c770f7adf650f3643febffcf54a0aefaf45cc55"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1010000-03-structured_instructional-watermarked","seed":1010096,"text":"\n\nDo not try to apply the following two steps, especially if you are doing a multi-part experiment or a single sentence of a text.\n\nStep 1: Get a clear idea of what the experiment is about. Let's take the first step by looking at the data and comparing it to the results.","text_sha256":"eb75b07b56df4b64fc75b54252a50445fe5445c33338f9b2353722a5248b8fc4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1010000-04-general_explanatory-unwatermarked","seed":1010128,"text":" Consider only one copy of the standard paper.\n\nLet's say that this is your work, and you do not want to rely on an old paper to solve the first problem. You should ask the next paper to be more specific about what you are proposing. This is a useful way to explain the problem.\n","text_sha256":"4d93ff0c1ff1fad46bf0a17f25a53fc94c6e7a4b886f365ac79830daa01acf6b"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1010000-04-general_explanatory-watermarked","seed":1010128,"text":" Consider a simple, hard problem. Consider that the problem is a problem with a random number generator, but the generator doesn't know the random number, and the only way to determine the number is by examining a random number generator's output. Consider, for example, that the problem is a problem with the Random Number Generator","text_sha256":"e74a3bb4ba2bd0d4a0979c77089dca4b60384097bac24ba95928a363c7cd51e8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1010000-05-technical_explanation-unwatermarked","seed":1010160,"text":" This document describes the core aspects of margin robustness replication, as well as a sample implementation of margin robustness replication.\n\nNote that this article is meant to be a work-in-progress, and may be updated as the work progresses.\n\nSummary of Margin Tests\n\nThere are two ways to","text_sha256":"8fbe291af77bb54653ba4b48adf0f93d89f793a66ed5e225d9c50bbce9dec04c"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1010000-05-technical_explanation-watermarked","seed":1010160,"text":" This document is not intended to provide a full definition of the main idea, but to describe the main idea of the paper and the main theoretical approach of the paper.\n\nAcknowledgments We thank Dr. A.J.S. Bohn for the data analysis. We also thank Dr. M.J.A","text_sha256":"c4a66a57fb83b0ae9cb44915785720e575a8975bd4da769d1123101576561966"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1010000-06-conversational_prose-unwatermarked","seed":1010192,"text":" Avoid short paragraphs with one sentence, or a phrase with a blank syllable. Keep the sentence brief and direct. Use the language of the text to get the reader started.\n\nWrite a small paragraph after a sentence and save it as a text file. Then you can write a full paragraph in a matter of seconds","text_sha256":"ce99e775d27b02df859591a07f562f3b2613cccd010d2c936847f72adbc6de1b"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1010000-06-conversational_prose-watermarked","seed":1010192,"text":" Use short paragraphs. Be creative. Use a different topic. Use the right subject line (e.g., \"The science of human sexuality\").\n\nHow to use natural language\n\nDo not just look at the sentence or paragraph.\n\nExplain to a coworker how you can use natural language while keeping","text_sha256":"815a596c0c567cf035c3beb0c3d145dc9b4483669d66e6c6e031b04016038ae4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1010000-07-structured_instructional-unwatermarked","seed":1010224,"text":" The next step in the execution is to apply the same amount of margin robustness to all sentences.\n\nI use the following code to execute two steps:\n\nLet's start with the original sentence:\n\nThis sentence should be a simple, \"We're going to work together for the rest of the week","text_sha256":"1b9ed452c5cf6fb0b30c7203ac7aa2b9fac4a43819f46bcb8596f35fd3366bbb"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1010000-07-structured_instructional-watermarked","seed":1010224,"text":" Use a series of three-step instructions to apply the following two steps:\n\nStep 1: Apply an initial amount of data to the test\n\nStep 2: Apply a second amount of data to the test\n\nStep 3: Apply a third amount of data to the test\n\nStep 4: Apply a","text_sha256":"159f47bb0f616afa8bd72671cf8ad794e80f8d623b0d6b9c65f39b81af3732f4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1010000-08-general_explanatory-unwatermarked","seed":1010256,"text":"\n\nThe following paragraphs are part of a series of blog posts to be published next month:\n\nIn 2012, a paper by the Harvard Business School and the University of California-Davis showed that the replication of a paper is often in part driven by the quality of the replication in question. The authors of this paper","text_sha256":"fd7b1440d293364bfa5d697fd1b5a26a41a6a046d680b4112563238118f93a77"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1010000-08-general_explanatory-watermarked","seed":1010256,"text":" Use a few paragraphs at a time. Avoid overuse.\n\nDo not use an acronym for \"optimistic replication.\"\n\nDon't use the word \"optimistic\" in your writing. Use the word \"optimistic\" in your writing.\n\nThe idea behind the term \"optimism\" is that","text_sha256":"b9c75e439bf38e08f8c37ac034b648af03a22da00c2b4cc67e9ec622e33a9832"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1010000-09-technical_explanation-unwatermarked","seed":1010288,"text":"\n\nThis is the most important part: it is the way to design an algorithm that gives us a clear indication of the validity of the data. It is important to understand that any time an algorithm fails, it is going to cause problems. If it's not valid, the result can be a \"failure\"","text_sha256":"38aadb67bc6bc8d375601bd55ce15fa41053e8ebd0b29099a0360da7affd8d24"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1010000-09-technical_explanation-watermarked","seed":1010288,"text":" Create a model that demonstrates that the model shows that the replication check is safe.\n\nThe model\n\nThe model is an example of a distributed system where a group of computers can simulate a computer and make mistakes. The computer is able to learn from the mistakes and to learn from the failures and make correct decisions.","text_sha256":"aca3af468ab6cc07df78c23f1723959ca6e971c133b9605e654817b5dd7c44a1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1010000-10-conversational_prose-unwatermarked","seed":1010320,"text":"\n\nTry to describe your topic in your own way. Use an explanation with a clear rationale and general usage.\n\nHave at least 1,000 words, and even then, some phrases need to be included.\n\nFor example, the idea of a \"faster,\" \"lesser,\" \"more efficient","text_sha256":"9b114917745c7f649c06a6a56af6dfd4307a4d70c97640a58e26d2f6ed01fea8"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1010000-10-conversational_prose-watermarked","seed":1010320,"text":"\n\nTry this:\n\nSay you're an online business. A customer called you on the phone and said, \"I can't respond to your emails because your business isn't responding.\"\n\nYou say, \"Okay, I'll try it on my phone. I'll send it back to you at least","text_sha256":"ca38307f2906e0cdf745389461892e302f0bb5c996b3029690b7541dda37b63b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1010000-11-structured_instructional-unwatermarked","seed":1010353,"text":"\n\nStep #3 - Write a short 3-step instruction for applying margin robustness replication in an experiment. Use complete sentences and keep each step concrete.\n\nStep #4 - Write a short 3-step instruction for applying margin robustness replication in an experiment. Use complete sentences and keep each step concrete.","text_sha256":"aa8ab329cd059c8bd176d13650d55c773e8876da0f8368f10faef95e0a9b3a71"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1010000-11-structured_instructional-watermarked","seed":1010353,"text":"\n\nUse a short three-step instruction for applying margin robustness replication in an experiment. Use complete sentences and keep each step concrete. Don't use a list of word labels. They're important, but use a list of phrases that are well-defined.\n\nThey're important, but use a list of","text_sha256":"1c352d9d8927c445e9cbf2d36b7dafeb4c0237bea2d1307ae8b2111b74513642"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1010000-12-general_explanatory-unwatermarked","seed":1010384,"text":" Don't use an unreadable list to represent your data. Write a very concise and coherent paragraph.\n\nConsider a single data point, with multiple components, for replication. Each point represents a single data point.\n\nConsider a single data point, with multiple components, for replication. Each point represents a single data","text_sha256":"568bf5f6fc5ccccbf6212b7faddb8b78299f0cdd04cd50acc0d5710605fb857e"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1010000-12-general_explanatory-watermarked","seed":1010384,"text":" Don't use jargon. Avoid the jargon. Use real-world examples.\n\nWhy \"Crowdsourcing\" Is Important:\n\nThere's no easy way to write the most comprehensive review of this topic. In fact, I don't know that I can write a single review of this topic for all of","text_sha256":"0e479f4ea60216e20de6364776178e755a5b5344b3c6a9fe5b6e58474ec4a134"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1010000-13-technical_explanation-unwatermarked","seed":1010416,"text":" (If no validation check is used, then the resulting results will not be consistent with the first validation check, so the results will not be the same.) The main idea is to provide a test case for the correctness of a prediction. If the prediction is correct and the prediction is wrong, then the failure mode is the","text_sha256":"8176d26b358716bb29772b86322f67b95731a87f9dc45eee5f97bfe6e20b59a5"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1010000-13-technical_explanation-watermarked","seed":1010416,"text":" (3)\n\nIn summary, the primary goal of margin robustness replication is to perform the following:\n\nTo produce a set of distributed data sets that are consistent, reliable, and scalable across all distributed data sets.\n\nTo generate a set of distributed data sets that are consistent, reliable, and scalable","text_sha256":"cb119cd2a126cecf7a565005c8e447842ecc7d84ac6c7878dde397e185a7961e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1010000-14-conversational_prose-unwatermarked","seed":1010448,"text":"\n\nLet the readers follow you.\n\n1.5.4.2 Theorem 3.2.2.1.1.3\n\nTheorem 3.2.2.1.1.3 applies to any sentence in any language with at least one syllable of non-negative integer numer","text_sha256":"420ebef3b9ec0109fe7ba978304f70353a05e1533d59eced7d585845294f0360"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1010000-14-conversational_prose-watermarked","seed":1010448,"text":"\n\nLet's say your colleague says, \"You know what you want to hear. We'll get to the next question.\"\n\nYou might be thinking, \"But wait a second, that's a real question. I don't think we can use this approach. The more questions we ask, the less likely","text_sha256":"a490f500b7f23947e4b187204fb090ca1aba2d919d739cfcfad943e234d36d71"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1010000-15-structured_instructional-unwatermarked","seed":1010480,"text":" When a sentence is used, the resulting sentence is considered a \"text\" and the sentence is not presented as part of the sentence.\n\nHere's an example of a sentence:\n\nLet me know if this sentence gets any text. It's a sentence that is not \"text\".\n\nIt's worth","text_sha256":"e569b27a61bf7c81f5be1a590a84c5b60fec47774d7172c11c419b9233ff4c5c"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1010000-15-structured_instructional-watermarked","seed":1010480,"text":" Use a list of the elements that are considered to be relevant to the experiment. Use a list of the results of a trial. Use the \"follow\" field to check whether the test is still working, or if the test is being used. Use a summary of all the possible outcomes for the test. This field is","text_sha256":"25b848043198698fa94f9006b39d84d78338f85624207ebd50a30680c919691a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1010000-16-general_explanatory-unwatermarked","seed":1010512,"text":"\n\nIf you want to understand what is going on in the background (in this case, the background of an algorithm) and why you should care about it, read on.\n\nThe first step is to understand the fundamental principles of the algorithm. The second step is to understand the problem.\n\nWhat are","text_sha256":"00d73ff3c199f6361350e333667ee63ddc8693c44a3286a081fbef5ca0497eb2"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1010000-16-general_explanatory-watermarked","seed":1010512,"text":" Use it as a template for your research.\n\n3. Provide a description of the data you plan to use.\n\nConsider this: Suppose you have a test that has a number of points in it, and you want to test the likelihood of finding a random number at the end of a random number sequence.","text_sha256":"2b70fc8bce27e5e8765871a9b556eb5b6bfb8dd5f6bea2ce7669ebc47d482aeb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1010000-17-technical_explanation-unwatermarked","seed":1010544,"text":" Then, use a simple model. When you have a test of an entire software application, use the best data from that test to validate it, and then to determine whether it works.\n\n2. Testing in isolation is not the only thing that can be done.\n\nThe key is to ensure that a test","text_sha256":"6be7a630f31c8350f8f1a2d40921b4f8f45c6bf715ff56d02a3ae9ff48d68c9a"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1010000-17-technical_explanation-watermarked","seed":1010544,"text":" Use a single validation check to verify the entire program.\n\n5.9.2 How to Verify a Large Selection of Test Cases\n\nWe can use the test case specification of the system to verify that the user is running a test program.\n\nWe can use this specification for making a test case for different","text_sha256":"0c7612f12cc1498e5022aa5db4252f681afdd6ba6a8119be4748e318fcb04446"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1010000-18-conversational_prose-unwatermarked","seed":1010576,"text":"\n\n3. Provide feedback\n\nThe ability to answer a question in a short amount of time is essential. We often want to know if this answer is actually right or wrong, and that the answer is correct. We can simply provide feedback, but it is important to always be aware of the possible consequences of our","text_sha256":"ffa940d4c2dc3ea847108f039980f526e2f79a712640bc91082f3689213c6a32"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1010000-18-conversational_prose-watermarked","seed":1010576,"text":" Don't give yourself permission to be imprecise about the question.\n\n7. Be objective\n\nNo one is perfect. You have to be objective.\n\nEvery person has a story to tell about their experiences and I'm not talking about my own personal experience. In my own experience, I've seen","text_sha256":"70b69a7b057329b4dc3e1c7ec30852709f1d48a22469b16dc88c06b117f602f8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1010000-19-structured_instructional-unwatermarked","seed":1010608,"text":" The results will be shown in the figure below.\n\nFigure 3. Results of a simple margin robustness replication experiment in a short experiment (left) and a long experiment (right).\n\nFigure 4. Results of a successful margin robustness replication experiment in a short experiment (left) and a long experiment (","text_sha256":"30bcab250bd26b4c6410f7224216be1c8a6ff081aaadc00da84a022340eea6b1"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1010000-19-structured_instructional-watermarked","seed":1010608,"text":" For a full example, see the documentation at http://www.parallel.org/docs/dynamic_reinforcement_testing/\n\nA few things to consider. You want to be able to describe your program as a whole, and you want to show the program as a whole. So, if","text_sha256":"6ab9589dd01d5e36da5c80dd2aabf5b6754ee8256da01a5f792cd4882d22ece1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1010000-20-general_explanatory-unwatermarked","seed":1010640,"text":"\n\nIn the book, I've outlined three different ways to write a good article: a, b, and c. Each one has a particular purpose.\n\na. Write a coherent paragraph to explain why it's important to the author that you provide solid evidence that you're right.\n\nb. Use","text_sha256":"5fd7321cc2547f1ef8fc0669f2f7a96fcfc9c67d4eb6a414819fd531389de436"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1010000-20-general_explanatory-watermarked","seed":1010640,"text":" Use a descriptive term, such as \"solution\" or \"bioreactors\" for simplicity.\n\nIf you are interested in working with a machine learning framework in real-world production, it's worth exploring the concepts of the \"Solver\" and \"Solver-likelihood\" approaches. The S","text_sha256":"8e28d8c836a5f87e1c5f40f241e01c3c287d69d01cf335818331ac3a3a02354a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1010000-21-technical_explanation-unwatermarked","seed":1010672,"text":" The validation check, a mechanism to validate that a set of assumptions are correct, is defined as follows:\n\n(defvar margin-probe-check-validation (input :text) (let ((rule (input :text)) (when (validate (check input :text) (when (valid","text_sha256":"c9f54439b9350fe1529d26ba00dc647e6e7cbe5dcc27510d86063440159133f3"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1010000-21-technical_explanation-watermarked","seed":1010672,"text":" Use the following examples:\n\n1. A set of data is created with a row of data (each of which is a row in a matrix), each of which is a table in a matrix. The row is a table in a matrix; the table contains data that is not a table in a matrix.\n","text_sha256":"788dd2adbf5fb22cdffd4b85d184db2fabc1128ca9d9b65a152094884c4678ca"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1010000-22-conversational_prose-unwatermarked","seed":1010704,"text":" Explain your understanding of the topic. You can also use plain sentences or complex sentences in a simple way. You don't have to do the same thing for every query. If you want to make sure your work is consistent, it's important to have a clear understanding of the different questions that you want to ask the question","text_sha256":"a373923ad01522449e2715b6cb9efd0d8bc19735caa8ee6d4d75a405adf34e17"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1010000-22-conversational_prose-watermarked","seed":1010704,"text":" Use a verb or sentence that demonstrates your own interest, while leaving you wanting to talk. This is the way to build up your confidence with these tasks.\n\n\nHere's the key to the whole approach. As you get to know these guys you're likely to build up confidence with them. When you don't do","text_sha256":"6719ca8133645b39db1e1e9bb74bf6bb49b218d7e39c074afdc5f52f249cb70e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1010000-23-structured_instructional-unwatermarked","seed":1010736,"text":" For example, if a sentence, such as \"This is my test, I'm going to send a test message\" is repeated at the end of the experiment, and the test message is returned to the caller, the test message must be repeated at the end of the experiment.\n\nUse strict rules for a complete","text_sha256":"2d2b4d3d12e376c284666d865826179cf1feaff3b09fad0b43e034dc13fece32"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1010000-23-structured_instructional-watermarked","seed":1010736,"text":" For example, suppose we have 2 identical sentences. Each can be either \"I'm going to send a mail from the mail-center to the mail-center\" or \"I'm going to send a message to a mail-center.\" Use this technique in a very simple and well-designed experiment.\n\nLet","text_sha256":"21dc5be03b4a1a276f51e2cbfc3fb8207baaacafe195d5584762f053332b8369"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1010000-24-general_explanatory-unwatermarked","seed":1010768,"text":" Use the best scientific evidence, and you'll find your research.\n\n3. Use the most up-to-date, up-to-date version of the research. You'll find this kind of research much more useful. A good example is the work of a number of researchers from Australia and the US.","text_sha256":"71d2ad7f689026a8530b26a73c4541de7e311dd42647e1b852d7a57c9fd172ac"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1010000-24-general_explanatory-watermarked","seed":1010768,"text":" Use a good example.\n\nThe original story of this piece is based on a discussion that I had with Robert Blum, a coauthor of this blog. He suggested that some research on it would be useful to consider using the \"Margin-Based\" model as a starting point to explain the importance of a","text_sha256":"c4cfa09e0327516ba9de6312a607cc99db473967381000c4370a10797a1a0a90"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1010000-25-technical_explanation-unwatermarked","seed":1010800,"text":"\n\nMake sure you define the validation check. If you do, you can then do validation checking for a failure mode. If you do validation checking for a validation check, you must define your validation check. You can do this by simply specifying a validation check that sets the field that needs to be validated to. If","text_sha256":"e9e3748d828994a746c49be64f319023521917640b855e68421d0d5f5a2dc51f"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1010000-25-technical_explanation-watermarked","seed":1010800,"text":"\n\nMake a presentation describing how to write a robust test.\n\nDocument the results of the validation check using the documentation.\n\nWrite a robust test for a specific feature or condition.\n\nWrite a robust test for a specified variable.\n\nWrite a robust test for a specified variable.\n\nWrite","text_sha256":"3e2aa224954f46f370c4afc5baabbf8f310d1f6357756710772f0f70844b2caf"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1010000-26-conversational_prose-unwatermarked","seed":1010832,"text":"\n\nIf a friend asks why the model of a given event's number is different every time the model is run, the answer is that the model is not correct. It is the model that is wrong.\n\nIt is the model that is incorrect because the model is not correct because the model is not correct.","text_sha256":"2dc8f16d8fa6c5c0bde3b8c28365d458aa7e14d7c89fc3d8a236a6d017b8c1c6"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1010000-26-conversational_prose-watermarked","seed":1010832,"text":"\n\nLet's say you're talking to a friend of yours who's a writer who can write about your own writing. You want to know about what she's trying to say, and she can't make sense of your word choices.\n\nWhat can you do to help?\n\nFirst, you can ask","text_sha256":"1bd94b0a95241d5a66107e203f90133caaaf4992d94cb03432544ebe25561585"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1010000-27-structured_instructional-unwatermarked","seed":1010864,"text":" The steps are designed to be more concise.\n\nA step is defined as a sequence of steps that have at least a single time value. The number of steps is determined by the number of steps in the sequence. In order to specify the number of steps, an array of steps is created with an array of points","text_sha256":"5497ba007ba08941f5b701fa5afc7faebaf3eda1244654ce9f7e249ba2055a0b"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1010000-27-structured_instructional-watermarked","seed":1010864,"text":" Use a single-word sentence to create a new sentence. Repeat a step.\n\nTo test this approach we did a simple set of experiments in which we set up two two-way sentences and asked for the following three steps in each step. The first step was to test whether the condition was satisfied or not.","text_sha256":"ef6be616f64d40986799ea4fbdd1a830d80a812ded8eecd31dbb62a9a667d380"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1010000-28-general_explanatory-unwatermarked","seed":1010896,"text":"\n\nA few days ago I took the time to write a blog post about how I can improve my performance in a paper by a few authors I'd previously not seen. It was written in the context of the work of a number of authors (one of whom, a PhD student from Harvard, has recently been accused","text_sha256":"d33d98f55a911311140f6a28f2e8c343707149bafb3f254f69500cb029e489cc"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1010000-28-general_explanatory-watermarked","seed":1010896,"text":" For instance, let's say I write this in a journal. Let's say I have a big paper in the journal Science. I'm sure I can find a way to write it in a concise way with the most detail possible. What would be the cost of writing a simple paragraph in a journal?\n\nLet","text_sha256":"ce04b30182ef7558a8ed6a402a26e62492d440177b785a63fc0facb36ea6ce65"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1010000-29-technical_explanation-unwatermarked","seed":1010928,"text":"\n\nMaintain the number of tests supported in each project.\n\nCreate an account with a project name, e.g., github.com/freedesktop/distrib/distrib.go.\n\nMaintain an index of the source code.\n\nCreate a test suite.\n\n","text_sha256":"b4d582f03bfdbf17e31d6b558e51d3ce057289e439d9c95b4f2736854f90bbb0"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1010000-29-technical_explanation-watermarked","seed":1010928,"text":" Define the problem. The second check must be performed in the same test environment. This is called a validation check.\n\nThe main idea is that if a failure mode is established, then the failure rate is reduced by the total number of failures encountered. The validation check is called a test failure. The test failure","text_sha256":"7be5add33731a4e0ee05c7901e724c8a03b5658aba85528bb1fe897061e73616"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1010000-30-conversational_prose-unwatermarked","seed":1010960,"text":" In the case of the test, you can't just sit in your computer and do the test without the words 'this' being used.\n\nIn the case of the test, you can't just sit in your computer and do the test without the words 'this' being used. Use a very simple language.","text_sha256":"d807981e9a9c0c1653f882525151e36b8a23248c829b0d750bccae7f617cd650"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1010000-30-conversational_prose-watermarked","seed":1010960,"text":" Use a non-verbal, non-verbal description of the topic and use descriptive writing. Do not ask questions, and follow the instructions below.\n\nThe authors of this paper have found that when a reporter asked a colleague the question \"How many people are in your organization?\" she responded that \"in my team I","text_sha256":"4d03d7fa565628665812e5fbda840ff247f8d68be781e76cfcfada524fc9d9d5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1010000-31-structured_instructional-unwatermarked","seed":1010992,"text":" It's easy to work with your subject and your topic, but you need to be able to do it quickly, and that's where this is going to be helpful.\n\nIn the example above, one of the more interesting things you're doing to show how to apply margin robustness replication is to show how you","text_sha256":"c51183c0dbe59d2385a299d875b1857daee92b3b367ed5582c23fb6a5dbc01db"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1010000-31-structured_instructional-watermarked","seed":1010992,"text":" A simple example: 1. I want to write a simple example of the replication of my own computer. I write a simple example of the replication of my own computer. 2. I want to write a simple example of the replication of my own computer. I write a simple example of the replication of my own computer.","text_sha256":"b404d9c54564b678f60a5baec675455afa8ee5a3865c22c3e78cf5eb8d63e362"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1010000-32-general_explanatory-unwatermarked","seed":1011024,"text":"\n\n3.5 Examples of margin robustness replication\n\nThe following sample demonstrates the applicability of margin robustness replication in a scientific study. To summarize the sample, write one sentence with a description of how the paper's results are to be predicted.\n\nA. The results for a recent paper (by","text_sha256":"e387675901645664741eddb6a6852d0625b1904dd7dbe8ecf7573140009169ef"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1010000-32-general_explanatory-watermarked","seed":1011024,"text":" Then let the reader do the rest.\n\nThis simple step, by using one sentence to describe the content, provides a strong foundation for thinking in terms of the data. It is worth mentioning that the reader can read the original paragraph and also understand the text in detail. It is also worth noting that the reader will","text_sha256":"2c36d05f483245c219fdcbcc94b46cefec53a6a4b99e1ce6a00afa30de4c74c8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1010000-33-technical_explanation-unwatermarked","seed":1011056,"text":" Test with a real-world application using a number of test cases.\n\nA note on technical details\n\nIn this project, we are going to take advantage of a number of advantages over current approaches in the field of replication.\n\nWe have a large amount of data, but we cannot make predictions of the","text_sha256":"15f3bc7eeeb1c622ec83a9cd6e644ea370f459846cbf67ed22400295e14d4208"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1010000-33-technical_explanation-watermarked","seed":1011056,"text":" Test with a real-world application using a test framework, including a standard test framework, and use a test for the actual execution of the test. The resulting code is a proof of concept proof, which is the basis for a large number of applications.\n\nMaintain a reliable system of test and verification. Implement","text_sha256":"148744582ea5a50c43d22b0d6c6693ef139b9bf3deb21207c3dff974851374ea"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1010000-34-conversational_prose-unwatermarked","seed":1011088,"text":"\n\nConsider your audience. In your work, keep the topic relevant, concise, and informative. If you don't know how to do it, try a different set of techniques.\n\nA. The Problem of Sorting. The first step in designing a robust data set is to sort the data.\n\n","text_sha256":"2ead244e45a8687d48d461b41a7ffa1d0fbc41daeefbf40cd2aa784fe931e37f"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1010000-34-conversational_prose-watermarked","seed":1011088,"text":"\n\nConsider your audience's use of the word \"conversational,\" such as in a conversation with someone you trust. The audience is likely to understand that the person is speaking in a conversational setting. The questioner is going to ask if you believe your audience is willing to trust your interpretation of the question,","text_sha256":"7e61a225c3e88516cfa122004642d3d015e6b0aeb3ae1932bd362e26db25e31f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1010000-35-structured_instructional-unwatermarked","seed":1011120,"text":" This is important when using a method which requires a large number of words. In the example shown above, we can simply ask the experimenter to repeat a single sentence with a series of words. If we try to use a single sentence for all three steps, it will only make it harder to determine the correct answer.","text_sha256":"23d494ca83e1b06fef1d48030e9fd83d1ec808ba90d8d9dd7ae75347c462fa69"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1010000-35-structured_instructional-watermarked","seed":1011120,"text":" This helps to visualize the information needed for each step.\n\nTo learn more about the principles of margin robustness replication, see \"How does margin robustness replication work?\"\n\nTo learn more about the principles of margin robustness replication, see \"How does margin robustness replication work?\"\n\nYou can learn","text_sha256":"235d817518c83d4898714addd1120ead0e85cfa6bde6b6ce786561df601b1bec"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1010000-36-general_explanatory-unwatermarked","seed":1011152,"text":"\n\nIn the next part of this series we will outline how to build and deploy the SQLite.NET SQL Server 2008 R2 SQL Server 2012 R2 MySQL R2 SQL Server 2014 SQL Server 2019 SQL Server 2020 SQL Server 2021 SQL Server 2022 SQL Server 2023 SQL Server 2025 SQL Server 2026 SQL Server 20","text_sha256":"eebad629bcf3c4412bccc62bf03b7f5850f1228f5d75993398887dd8a660dfff"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1010000-36-general_explanatory-watermarked","seed":1011152,"text":" Create a concise and concise description of why the data should be replicated, how to use the data, and why the data should be replicated.\n\n(3) Do not repeat, reuse, or use the data that you are replicating.\n\nThe purpose of this test is to determine the \"effectiveness\"","text_sha256":"45c2a8494a966bcdfe5b3892287dc9546b329d5cc6d84182d62917c251f3d1a1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1010000-37-technical_explanation-unwatermarked","seed":1011184,"text":" Use both the primary and secondary validation check. Define the validation check on the first failure mode and on the second failure mode. Define the validation check on the second validation check and on the third validation check and on the fourth validation check and on the fifth validation check and on the sixth validation check and on the seventh","text_sha256":"cc487b7a3243e9b365ceeabd92b12bdba29063e63097b31ad18a8da24e672bd1"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1010000-37-technical_explanation-watermarked","seed":1011184,"text":" Use a single validation check as a validation test. See the technical documentation for details.\n\nB. The main idea\n\nA. The main idea of this paper is to use a single validation check to verify the validity of a program. It is a basic idea, but it is not the first idea. The","text_sha256":"7f45b5d203f747243d5e54d1d8b2a2f6e19825c3d54eb7e1d3ebb459f23f49c0"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1010000-38-conversational_prose-unwatermarked","seed":1011216,"text":"\n\nStep 4: Avoid repeating paragraphs\n\nWhen you don't repeat paragraphs, you're wasting time and may get confused. If you don't remember all of your paragraphs correctly, you're doing it wrong.\n\nIf you're stuck with just one paragraph, focus on the last one. If you don't","text_sha256":"1dc192c94107a07b38a14143cfa70fe633b64aa58d790765679fe58344b3f5df"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1010000-38-conversational_prose-watermarked","seed":1011216,"text":" Use a conversational \"talk-up\" style while keeping the emphasis on the topic. Use simple word choices to create a nice story. Make sure you understand what you're asking.\n\nIf you're not sure what your interviewer's question is about, try writing an answer short form. It's easy to get","text_sha256":"01b781b0649a2132d6bb1ca2f10ac485a79e580f74ce957cde52732c139d656f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1010000-39-structured_instructional-unwatermarked","seed":1011248,"text":"\n\nStep 2: Start your test with a clean, structured text. If you're using a lot of text, this is an important step.\n\nStep 3: Start writing the test sentence for the first time.\n\nStep 4: Write down the test sentence in your own words.\n\nStep 5","text_sha256":"47301731d4e65ccad18e8c5f5c6d8585e4b89056b2e2d7642d162f5979dfd2f4"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1010000-39-structured_instructional-watermarked","seed":1011248,"text":" Use a series of simple instructions to apply robustness replication.\n\nHow to use the set of instructions\n\nStep 1: Create a set of 10,000 lines of text\n\nThis step creates a small set of 10,000 lines of text. The goal is to set the minimum size of the text.","text_sha256":"c6256ee238f33829da632d963cbcb7d8ccdb2df1a469e61236d35a4976eabd3a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1010000-40-general_explanatory-unwatermarked","seed":1011280,"text":"\n\nWrite a succinct, descriptive description of why margin robustness replication matters in detail. Write a concise, descriptive description of why margin robustness replication matters in detail. Write a concise, descriptive description of why margin robustness replication matters in detail. Write a succinct, descriptive description of why margin robustness replication matters in","text_sha256":"a8607e12464c1567f6b5eee7fe10f216eca3e8ed8a0a3f1bb14f95e6f89e9535"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1010000-40-general_explanatory-watermarked","seed":1011280,"text":"\n\nUse a sentence like \"the original paper has been rejected by a peer review team because of its claim to have 'a strong case for being 'natural', and because of the high cost of replication.\"\n\nKeep in mind that this is not a paper that is peer reviewed. It is not peer reviewed because","text_sha256":"3ef6f373736c3e833d35c34f3c8b5d1f19da638561d1d054ccef46b1aec8751f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1010000-41-technical_explanation-unwatermarked","seed":1011312,"text":"\n\nExamples\n\nFigure 1. A typical test that creates a test case for a standard deviation of the difference between a value of the two values in the test case and its significance.\n\nThe main idea is to test the reliability of a given value of the two values. This can be accomplished by testing the","text_sha256":"03783a6ce58b7e31835b27febc6a48359988431e33b7a2228bc1a07ef1f9c58d"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1010000-41-technical_explanation-watermarked","seed":1011312,"text":"\n\nExamples\n\nFigure 1: A test for an automatic margin robustness replication.\n\nIn this example, we tested the margin robustness replication in the Ceph software, but the test is a single test which takes a different approach. We have defined two tests for this. One of these tests is the","text_sha256":"0366a4e8c1119204090642b4de9b44a2c240609f53651a2474066e0ff04c3dd3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1010000-42-conversational_prose-unwatermarked","seed":1011344,"text":"\n\nConsider the following examples. First, imagine that a researcher asks a question. The response is simple. \"There is a lot of misinformation. I find it hard to understand and it is difficult to communicate with a colleague.\" The response is a few sentences long, and the answer is, \"There is a lot","text_sha256":"62cab31e3d3ab56f76fb1936d7480b7157ea1a76ee61696272c8453fe46e63ff"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1010000-42-conversational_prose-watermarked","seed":1011344,"text":" This helps to keep the audience guessing.\n\n7. Be prepared for technical mistakes.\n\nSome questions are better answered with technical questions than with technical questions. The questioner and the interviewer should be prepared to take technical problems seriously, which makes them a great tool for the interviewer's job.\n\n8.","text_sha256":"d9f7a1fd6f4cb3bbda95b6ab66ab8dab818c2c8d9467e41c6d3efb943fe7293e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1010000-43-structured_instructional-unwatermarked","seed":1011376,"text":" A few of the words are obvious, so we will make it clear.\n\nThe process begins with a simple example:\n\nWe get a message from our users when we visit a site. Our message is to ask for money.\n\nWe call the user to his or her name and ask him/her","text_sha256":"50fc1584f1cc1737ce86538096640932c9c8d478d3c4e56d3e50533f60bff9f3"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1010000-43-structured_instructional-watermarked","seed":1011376,"text":" A simple sentence should be a four-word sentence and a complete sentence a two-word sentence.\n\n1.1.1.1. Make sure the first sentence of the next sentence is the same as the last sentence of the first sentence.\n\n1.1.1.1.1. Make","text_sha256":"19ce60a720679fe81cc83433569a063f2e363af56dd8cb3165ffaa51df60c1d9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1010000-44-general_explanatory-unwatermarked","seed":1011408,"text":" Try to explain why the current method of replication for large-scale data should not be used. Explain how it is possible that if the data was written in an unreadable way, it would be difficult to determine whether the results are representative of the data or if the results represent a significant contribution to the overall design of the","text_sha256":"23696d555f44c18a0a642a33fa1e1ef75180215f43d1a43033b453abd3ca7efc"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1010000-44-general_explanatory-watermarked","seed":1011408,"text":" Try to include some of the most interesting things. In fact, I think it's very important to write such paragraphs in a way that you can understand the text without making it sound like you know what you're talking about. This is one of the reasons I have so much trouble writing papers that try to explain what they","text_sha256":"3f21b309ce32d7a9afb057cf607cb6c827b213370afee2b2138ef435e6a20e0d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1010000-45-technical_explanation-unwatermarked","seed":1011440,"text":"\n\nWhat is margin robustness?\n\nMargin robustness is the ability to be resilient to a failure.\n\nThis is the idea behind margin robustness (or margin resilience), a concept which has been discussed in depth in the literature.\n\nOne key concept is the term margin resilience. This is","text_sha256":"8b53f47f99355ce8521a6d7617487e0a1f2037a246138d63885f63d569fbf1fb"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1010000-45-technical_explanation-watermarked","seed":1011440,"text":" Create a test suite that compares the test suite against other tests. If the test suite is positive or the validation check is negative, the test suite is rejected. See the \"Test suite validation check\" section for more details.\n\nTo test a single test suite: use the test suite as a starting point to test","text_sha256":"f2e55591ff2f5fecdc1918c77da07ce6ab80ad9ba31e0670636e2c89d2e92c5f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1010000-46-conversational_prose-unwatermarked","seed":1011472,"text":"\n\nIn this case, I wanted to explore the relationship between margin robustness and the amount of effort that the editor can spend with each of his or her sentences in order to provide an accurate description of the overall structure of the text.\n\nI've never read a word of text that was clearly written by a","text_sha256":"dfc33fc37b893961f4979af135ae0d2cfd14034624286221783258ba28b48ec5"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1010000-46-conversational_prose-watermarked","seed":1011472,"text":"\n\nUse a few simple sentences to explain the purpose of the task you're trying to accomplish.\n\nDon't leave out key details of the task to allow questions to be answered.\n\nDon't go over the length of a sentence too fast. If you're unsure why, explain it with concise explanations of","text_sha256":"d497fafdcecec162e52fd23a9486731b9d3ace9459ee128b1c25efdc73c7977a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1010000-47-structured_instructional-unwatermarked","seed":1011504,"text":" Use a simple phrase such as \"if you're really good at it, you'll never get into a bad position.\" Use your own words and use only the best that you can find.\n\nFigure 5. Repeat as necessary to overcome an initial gap.\n\n\nFigure 6. Improve your problem-solving abilities","text_sha256":"68bcaa2d6dcee91a2f66be38f02d75c364491ace8dbecdbd0b02b69ee628ecfb"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1010000-47-structured_instructional-watermarked","seed":1011504,"text":" Use a simple and concise design with no repetitive or complex grammar.\n\nUsing the method described above, we can also use a single step and a whole sentence. We can then see how our program's execution can be reduced with two steps and a whole sentence.\n\nStep 1: Write an Example\n\nI","text_sha256":"cbd0c66b2e56f2c3aebb70b1c8a4312f334643055a28addd25c555406d413943"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1010000-48-general_explanatory-unwatermarked","seed":1011536,"text":" Include a list of the papers or papers by name. Write a summary of the work that is being analyzed. Include links to papers in a short summary.\n\nI. Introduction\n\nThe standard use of margin robustness is for high-quality papers. The following is a list of papers by authors.\n\n","text_sha256":"af93217188332115b0f733d0d7e7d13e526e89e86d2e5dbf88341c06f803cf76"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1010000-48-general_explanatory-watermarked","seed":1011536,"text":" Create a comprehensive and detailed list of all the data (including the paper, paper, papers). Do not use a single paper (or a single publication in a single journal). If you do use a single paper, make sure the entire paper is clear and you also include a brief review of any potential flaws. Create a","text_sha256":"7d9e6a132f0c800bac023b7627aab387691e865cb70cbc0f19af9efefced60ba"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1010000-49-technical_explanation-unwatermarked","seed":1011568,"text":"\n\nThis test is done with a single batch of 8-bit test files. The test files contain two outputs:\n\na file containing a test file that describes a given system architecture (or some other aspect) of the machine. The output will be a log of each of the 8-bit test files and","text_sha256":"093ed7415bfc6a01478da921a24f45852a7a0c1f11d64a3e07a724543472cb45"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1010000-49-technical_explanation-watermarked","seed":1011568,"text":"\n\nThis test is a one-shot experiment. For an extended sample of about 20 papers, it is recommended that you use the term \"multiple test\": a single test, where each paper is represented as a single group of papers with a single publication, or a combination of both.\n\nFigure 2. Test","text_sha256":"21cefb0c046ec23f3342d32959f5abf9e70106659db578c00fe748dd1f8bc082"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1010000-50-conversational_prose-unwatermarked","seed":1011600,"text":" Make sure that you are talking to the person who you are communicating to.\n\nDo you know when a particular time frame for a particular decision was reached? The time that was reached, but it is now. In the past, I'd have expected that this decision would be made within 20 minutes or more of the","text_sha256":"67d2d2f443ab96bcd85381b9d964be0e33aa7364515ef33ddf13e43c125c4bf7"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1010000-50-conversational_prose-watermarked","seed":1011600,"text":" Make sure the subject is straightforward. This can help to get people to read the book.\n\n1. Write an article\n\nThere are many advantages to this approach that you can take advantage of.\n\n1. You can write a good article in a timely way.\n\nMany professional writers are willing to","text_sha256":"deee5b1a43f678e2c1c8bdab5b887757c6a2274564e983138eb5b554c7f8dcd2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1010000-51-structured_instructional-unwatermarked","seed":1011633,"text":"\n\nThe test is described in more detail in the article\n\nA basic overview\n\nThe main idea is to use a combination of two or more methods to ensure that a given set of nodes is replicated in a given way. As a result, the results of this test can be determined using multiple experiments to verify","text_sha256":"392842197f7761461ee5c793fa024417b876d0a7f647223c48b465c531d60d8a"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1010000-51-structured_instructional-watermarked","seed":1011633,"text":" Use a single-point solution to create a single-dimensional model.\n\nUsing the following method, we can use a single-point solution to create a single-dimensional model of a single-layer object. Using a single-point solution to create a single-layer model of a single-layer object, we","text_sha256":"8a0dcd6b80ba1368f2bbacd1cd5d1af5e346f7d1683ab09980158f0a1da29368"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1010000-52-general_explanatory-unwatermarked","seed":1011664,"text":" Use the example above, which is not about the size of the corpus, but about the size of a single paragraph:\n\nThe original paper is quite small. It's a single, single paragraph, but I still think that's worth a page.\n\nIf you have a paper size that is too large,","text_sha256":"c04253adcdfd1aab115801f341fa45f9c5734dc47faddf71e39652c147300358"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1010000-52-general_explanatory-watermarked","seed":1011664,"text":" Use a simple but descriptive word to describe what the manuscript says.\n\nThe authors of the manuscript reported that they received an email about their manuscript from a company that did research on margin robustness in a scientific discipline. The email contained information about how they could test their hypothesis. They also reported that they received a response","text_sha256":"61d88a5986c6ed724a2cb0355c1b7afa07f3989bb6a6cefb3c24da45008d47c3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1010000-53-technical_explanation-unwatermarked","seed":1011696,"text":" The main idea is to allow the error-detection of error-prone software and to ensure that the failure mode is a true failure and does not compromise the integrity of the software. The main idea is that the main idea is to allow the error-detection of error-prone software and to ensure that the failure","text_sha256":"ab6949669c15f26db231a32021b240d16e2cf03823661d77c713985cd3ff996b"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1010000-53-technical_explanation-watermarked","seed":1011696,"text":" Use a \"strict\" (zero-negative) distribution of the failure modes.\n\n4.1.1. Introduction and Description\n\nThe following is a summary of the terminology used to describe the replication process in the software experiments described in the previous sections:\n\nThe replication process is a statistical process that","text_sha256":"a6b48414b01d92693c59702a93141804258cdf33518bd11cb823830dd71be22d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1010000-54-conversational_prose-unwatermarked","seed":1011728,"text":" The answer is \"I will explain the difference between a \"b\" and \"c\" in the context of one's experience in the workplace. It is up to you.\"\n\n6. Don't take yourself too seriously (I used to take myself too seriously).\n\nWhen you're in a meeting with your","text_sha256":"c43ebdae113b85c783ada3615858ba26361896e460c10b42032ade9a79fec53a"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1010000-54-conversational_prose-watermarked","seed":1011728,"text":" Use a natural way to understand the subject matter; avoid \"you\" as the source of information; use a simple, logical sentence-by-sentence format. A sentence that is concise and easily understood will make your brain think more logically.\n\nWhy does this matter? Because most of the time, the information","text_sha256":"da265a8bfa826fae90cc48d359000e218bf47cd20c2db0061ae3b781695911ff"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1010000-55-structured_instructional-unwatermarked","seed":1011760,"text":"\n\nI don't think there's any specific performance benefits of the procedure, but it's a good idea to make sure you use it for the first time if you're not using it regularly.\n\nIn the next post we'll cover the difference between the methods used in the \"Sealed and Re-","text_sha256":"e59070fecf91984bcdd57b9b6907524cb9c42070105997ea01d5836bd2fc343e"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1010000-55-structured_instructional-watermarked","seed":1011760,"text":" Use a separate sentence to describe the results. Test each step by writing a list of commands and a reference to a sample text. The results should be written out in the text.\n\nFigure 5: The result of two steps\n\nFigure 6: The results of the two steps\n\nFigure 7: The results","text_sha256":"b31f6f4d154e9fc4e562284526ba7e32d69101e2b5603e200fc7ceacdf3c3691"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1010000-56-general_explanatory-unwatermarked","seed":1011792,"text":"\n\nThe results of this paper will give you some idea of how to better understand how to use margin robustness replication.\n\nThe purpose of this paper is to outline how to use margin robustness replication and to show how to use it in a scientific paper.\n\nYou'll need an HTML5 capable browser","text_sha256":"6a17f7e546b5e6ac6ace1af6acbe14e1cad4838396827e416360cd85b6a0839a"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1010000-56-general_explanatory-watermarked","seed":1011792,"text":" Use a high-level abstract notation (e.g., \\[1,2,3]\\[\\epsilon]\\), if applicable, to define a coherent sentence and to use the basic principles of replication. Avoid the use of explicit notation. Consider the following case. Suppose we have a sample and","text_sha256":"fadba4760c010d953fd2c9fd76872ae3cfe2accddbee1413f897c7db986502e5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1010000-57-technical_explanation-unwatermarked","seed":1011824,"text":"\n\nReconsider the main idea, one failure mode, and one validation check. Explain the problem, such as \"how can a single program generate a proof of its correctness or a failure mode?\"\n\nDefine the problem, such as \"how can a single program generate a proof of its correctness or a","text_sha256":"ec8950ec7f64e77d8f02e0aaa5fe6cf68a0229686db0fc7a51359d75ec4a8b34"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1010000-57-technical_explanation-watermarked","seed":1011824,"text":" Create the validation check for each of the failures mode that is available.\n\nLet's start with a simple example. Suppose you have a test program that contains an arbitrary number of tests. You have a test program that provides an arbitrary number of tests. The first one is designed to check the validity of a certain number","text_sha256":"6ff2c31754cbe41d7581132f9134e4988a5f9a5d46837d288a68cc6fa124bc65"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1010000-58-conversational_prose-unwatermarked","seed":1011856,"text":" Don't over-interpret your results. Write them down and keep them as small as possible so you can focus on them and not on your target audience.\n\n3. Write down the results of your experiments.\n\nYou should be able to summarize your results to your colleagues, and make them feel good.\n","text_sha256":"d035261a8754f3215a575fc77306de56359e6d24b94e8a944d8bd293b8fd5eed"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1010000-58-conversational_prose-watermarked","seed":1011856,"text":" Don't overdo it. The only reason you're asking that question is if you're trying to show off your knowledge to another.\n\n2. What are the biggest obstacles to using social networks?\n\nNo one is going to say they're a disaster when you're on social networks. It's possible to","text_sha256":"1dad46e608419d1a8a03aaa47e0ec1e2c0d7e6d80534c0286a32ab538f0163d4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1010000-59-structured_instructional-unwatermarked","seed":1011888,"text":" (Click on the video above to view it in full.)\n\n(click to view)\n\nStep 5: Add additional data from multiple studies.\n\nOnce again, use complete sentences and keep each step concrete. (Click on the video above to view it in full.)\n\nThe final step is to","text_sha256":"46582daebeb40389af6dc7cea326bdf83c3a815bdebb96ee7121c54ae98e592f"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1010000-59-structured_instructional-watermarked","seed":1011888,"text":" Use a single step for the first four steps.\n\n1.1.1.1.2 Sample\n\nAfter this you should be ready to start writing.\n\nThis code sample represents the code that we will be using to apply margin robustness replication.\n\n// The test case for using margin robust","text_sha256":"e3d3eba3ad063d097acc27c3cf5cff35479c7d5f4c3eb9c425cdaea3e9ebbad5"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1010000-60-general_explanatory-unwatermarked","seed":1011920,"text":"\n\nConsider the following scenario: you are working with two different data sets and you want to estimate the probability that both of them will hold together. The probability of either event being a false positive is given by:\n\n(1) the probability of two positive events.\n\n(2) the probability of one","text_sha256":"52fe5c2b9096970989d60611da69b0e70b17106344a7fbb6e2037a839a064ab1"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1010000-60-general_explanatory-watermarked","seed":1011920,"text":" Don't try to find out the full story with a few paragraphs. Try to explain what it means.\n\nThe final step is to write a couple of lines of text that shows what the problem is, how to make sure the solution can be found and then give the solution a clear title.\n\nThis helps","text_sha256":"a96f62f8a7a56793bdd94fb127e4a35ff5a5cecda902ad71c1d1e5c3184b9ef1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1010000-61-technical_explanation-unwatermarked","seed":1011952,"text":" Define the main constraint, and the constraint of validation checking. The primary constraint is the time between each failure mode, and the main constraint is the time between each validation check. When a failure mode is defined as 1 (as in the case of two validation check failures), then the time between each validation check is computed","text_sha256":"13b6ab26f9f75b36f23e5e063fd4c37604aa0eae27e430dcf71d91fbcc56286c"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1010000-61-technical_explanation-watermarked","seed":1011952,"text":" Set each of these checkboxes to a value of one and then write your experiments to a test drive. Write your tests using standard tools. Set up a server using a client and verify their correctness. Then set up the replication pool to a state of complete replication and ensure all data is replicated across all nodes.\n\n","text_sha256":"007f335af056d87f87a7bb8c43faf9cf25c947f0e9b90772f3eb271477c8ce22"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1010000-62-conversational_prose-unwatermarked","seed":1011984,"text":" Keep your words concise, concise.\n\nIf you are a journalist who has only a few years of experience, the only way to be \"real\" is to write at least 30 paragraphs and then use your voice to make it very clear that you think the reporter is right.\n\nAnd if you're a journalist","text_sha256":"bee953f5aae9b4057d70bcd55af1a09ae4a1b7183ea4be0c2877ca6a1e8bbdde"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1010000-62-conversational_prose-watermarked","seed":1011984,"text":" Use a conversational language of your choice. When people ask you to \"re-phrase\" a question, ask a question that you can answer at the outset.\n\nWhen people ask you to \"re-phrase\" a question, ask a question that you can answer at the outset. Be clear about how your","text_sha256":"facd26acdc6f3521b8afb9518e1dc1513f57ef442f8e44471495365e334624aa"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1010000-63-structured_instructional-unwatermarked","seed":1012016,"text":"\n\nThe problem is, you're going to get a bunch of blank lines and a bunch of blank words. So, what's a sample sentence you can use for doing this? Well, let's find a sample sentence. For the full text of this sample sentence, we could use a simple word or two.","text_sha256":"40b9e6b60c287e482636386ae5429cdb4f2f10fba629232e8c930dc47580c96e"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1010000-63-structured_instructional-watermarked","seed":1012016,"text":" Use a single short sentence and make a short description of the experiment. Use a single sentence and make a summary of the results. Add a sample and the data will be analyzed.\n\nFigure 9: Sample\n\nFigure 10: Result\n\nFigure 11: Results\n\nFigure 12: Sample\n\nFigure 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robustness replication","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-1020000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1020000-n64-2026-08-26/README.md new file mode 100644 index 00000000..02902281 --- /dev/null +++ b/evidence/cycle8-mix-1020000-n64-2026-08-26/README.md @@ -0,0 +1,21 @@ +# Cycle 8 letter-mix margin detector (seed 1020000, 64 pairs) + +Measurement, not confirmation. Seed `1020000` and topic `letter mix margin development` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 versus U+034F/U+FE00 letter-alt v1 (ASCII-letter sites outside raw unmerged hard machine spans, even site index U+034F, odd site index U+FE00, selected-site cap 192). Threshold `0.5570987654320988`. Model `openai-community/gpt2` revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`. No detector access during selection. No watermark secret. Public CLI remains empty. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 64/64 | 64/64 | 0/64 | 128/128 | 0 | 0.68902 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 187.60 | 0.52739 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 187.67 | 0.51369 | + +Closest mix watermarked row geometry only: `cycle8-1020000-29-technical_explanation-watermarked`, 192 insertions, score 0.513691, gap 0.043407 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +On this reserved corpus letter-x1 also scored 0/64 with max 0.527389 (gap 0.029709). Mix is stronger on the worst-case score. The development target is a wider worst-case margin than the letter-x1 system-benchmark 980000 max 0.554066 (gap 0.003032). This fresh mix 0/64 meets that target. Independent reserved seed `1030000` later replicated 0/64 with mix max 0.513071. Combined fresh mix is 0/128. + +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 604/1024. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-1020000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1020000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..bcbc22ba --- /dev/null +++ b/evidence/cycle8-mix-1020000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +1b3af7c48a5132a0caf9b7d74d3b1d7cf5c86d2c739d1eb1cf12779b5e43f3c6 README.md +b917045a640fe981bc906df20b427fc4cbda3c4d4544f1e9054b47af07015820 decision.json +18e93dd7b75a8feaa1a18a42158491c174777784d2a7e419f7f5730e25736132 detector-compare.json diff --git a/evidence/cycle8-mix-1020000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-1020000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..3fb62353 --- /dev/null +++ b/evidence/cycle8-mix-1020000-n64-2026-08-26/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-mix-1020000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..0973776a --- /dev/null +++ b/evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Be clear about what you're trying to say. Let go of the abstract and focus on practical solutions. This is critical for anyone who wants to write a proof-of-concept work for a conference or for any other purpose.\n\nA good summary of this approach","text_sha256":"2bc23a87e4a2f9db5d21066156a37f08f9401e02163bf84ddd698403333f0ed2"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1020000-00-general_explanatory-watermarked","seed":1020000,"text":" Use a simple rule about space, size, and complexity.\n\nMake clear that \"plain\" is an extremely rare or insignificant quality, and that it is not to be relied upon by any individual scientist to make predictions about how a word or phrase will sound. That doesn't mean that everyone uses the same word.","text_sha256":"9f41ddc33f2988b01e60fafb2a3721391dd05590f885b87142ff211d857f16f8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1020000-01-technical_explanation-unwatermarked","seed":1020032,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Define the main goal, to get to a level where we can get to the point where we can be sure that the program works.\n\nDefine the main goal, to get to a level where we can get to the","text_sha256":"fe4e2778e83cd9963aa751a4f7c5e96166f873b9d154ebc3ff3b114cf2d8213d"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1020000-01-technical_explanation-watermarked","seed":1020032,"text":" Use a series of tests. Use the following test to test the correctness of a message:\n\nThis is a series of tests:\n\nThis is a message that was delivered to the mail system:\n\nThis is a message that was sent with a data message:\n\nThis is a message that was sent","text_sha256":"d9064daa50bb6a1776a69427487d3d6c7a3ba945fad53275cd5829c0ad03f5da"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1020000-02-conversational_prose-unwatermarked","seed":1020064,"text":" If you are a writer, then you need to make your voice clear to the reader. If you are a non-writer, then you need to make your voice clear to the reader.\n\nThe following are five great tips on how to get your editor's attention.\n\n1. Try to communicate directly with","text_sha256":"f2637be31f08f9fa0f5f0dd478115434f82dd06cb42e0a196becd9815c9f8bf6"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1020000-02-conversational_prose-watermarked","seed":1020064,"text":" You will find a lot more of what you need to know about letter mix to your colleague's best advantage.\n\nDo the word mix. The word mix is the most important component in this equation. It tells the story of the letter mix, its meaning and how it functions with different types of letters.\n\n","text_sha256":"af3ff968797c272e698252c822e022fe4ea3952f538018f32927d42c7a8f1071"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1020000-03-structured_instructional-unwatermarked","seed":1020096,"text":"\n\nThe experiment should be as short as possible to get you through the code and get you up to speed on the process.\n\nThe experiment should include at least one more step to the end.\n\nYou can also use this technique to learn how to apply letter mix to small classes.\n\nIt's","text_sha256":"58a7aeeb452f6bdefb11626694c8b88e1f4014b1184de0481f928bbad327c835"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1020000-03-structured_instructional-watermarked","seed":1020096,"text":"\n\nUse a short three-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete. Set up a simple example to illustrate this technique.\n\nWrite a short three-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step","text_sha256":"f841ed02799748b4c6fd9844bbe564f97e238785fdc7365c2e2d49cd607423e9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1020000-04-general_explanatory-unwatermarked","seed":1020128,"text":" Make a sentence with a few words and a sentence with a few paragraphs and then explain why letters are written differently. If you are looking for a good test, this test is for you.\n\n1) You want to write, and not think,\n\n2) If you are writing you want to be as","text_sha256":"d3b4f919a043f112080bd52926649853590767a5c7e67bbde4989ce026b9f1c4"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1020000-04-general_explanatory-watermarked","seed":1020128,"text":" Don't write too many paragraphs. The best way to understand why is to take the whole sentence. And use words that work well in each others sentences.\n\nLet's say you have a paper with over 100 citations in it, and you want to explain the problem. This article is the best way to explain why","text_sha256":"41aefce05b68008cccf32f5d349700984abc6aa46fe786dcaedd947d7f3cc9e8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1020000-05-technical_explanation-unwatermarked","seed":1020160,"text":" Explain how to use test-driven and regression-driven analysis to validate the results.\n\n3.5.5.6.2 The \"tangle\" of letters from a software experiment\n\nThere are a number of different ways in which the letters are generated in software experiments. The simplest of them is using","text_sha256":"4e58c40cf7cbc13cfe63d9b4da31bc718dde41233179afb9226a685cfc04b443"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1020000-05-technical_explanation-watermarked","seed":1020160,"text":" Explain how to test, evaluate, and validate your software.\n\nI want to be clear about what a bug is.\n\nA bug is a serious issue that cannot be fixed with just one fix. As a bug can be fixed by many people and only by a few people, there are plenty of problems that","text_sha256":"17b96d8ccd34e1d46f6447eb8586b938b26fafa187023ead0923fef375e16e8c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1020000-06-conversational_prose-unwatermarked","seed":1020192,"text":" Keep the subject matter simple with a clear, coherent point of view. Remember the first person you say \"what do you mean?\". Now ask the second person and let them know what they mean. This helps you to keep the subject interesting.\n\nTry to keep the subject simple: How do you explain the meaning of","text_sha256":"7216ff683cb04bdc94f4ca9d05f8b4f080f075eb438d882e7ee95b977d3c069b"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1020000-06-conversational_prose-watermarked","seed":1020192,"text":" Use a verb or a noun when addressing something. Use a neutral pronoun.\n\nIn addition, use a verb or a noun when addressing something. Use a neutral pronoun. Use a noun or a passive adjective or a pronoun that only applies to the subject in question.\n\nIn addition, use a verb or a","text_sha256":"f1dc617dbcfdf53316cf6073cb29dd453f9e062a436001d73837e0c9bfdeac4e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1020000-07-structured_instructional-unwatermarked","seed":1020224,"text":" In the past, I've created three step-level sentences and used two steps of the same word to form a three-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete.\n\nSteps 1-10:\n\nUse the same letter mix margin development technique","text_sha256":"c9e90a06bd0bf281749504195ac48a6ebbe80e6fc774149f8725958fd5c3971c"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1020000-07-structured_instructional-watermarked","seed":1020224,"text":" In some cases, use the word \"add\" or \"add\" to describe a step in the instruction.\n\n3. The word \"add\" or \"add\" can have multiple meanings.\n\nThe word \"add\" or \"add\" can have multiple meanings. The word \"add\" can be used","text_sha256":"0086121ca536b85bc1a70e5dfccfaf51a20cb2e56b9fc8b769450d76d3f116ba"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1020000-08-general_explanatory-unwatermarked","seed":1020256,"text":"\n\nI have been writing a lot over the years to make sure you understand the basics of the letter mix and how to apply them in practice. It is very important to understand the basic concepts in order to write effective letters.\n\nIn this section, I will show you how to write good letters using a simple","text_sha256":"8e9d95ff970d90ebd3484c0a8fed20ea6ba15718456c699b349c10c35aa63a7e"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1020000-08-general_explanatory-watermarked","seed":1020256,"text":"\n\nDo not use abbreviations. Use punctuation. Don't use apostrophes. Use quotation marks. Don't use long and short. Don't use tabs. Don't use hyphens or spaces.\n\nUse the word 'inherited' or 'not in' instead of 'inherited","text_sha256":"f3d28529a27400b4d9e6ac1e20449aade89df273e5e1341e53941c381abffcda"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1020000-09-technical_explanation-unwatermarked","seed":1020288,"text":"\n\nDetermine the impact of any validation check on the results of the validation test. Define the test's main performance parameter and the validation check's main validation check parameters. This is a basic way to test the effectiveness of a specific check.\n\nFor more information about the use of the test in software","text_sha256":"0cf851c29cc526fd2397ddce7d0d9736d9c519768eca71fb7c74188b68cba3f8"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1020000-09-technical_explanation-watermarked","seed":1020288,"text":"\n\nFigure 1: Significance of the first two components: Significance of the second component is not determined by the validation test.\n\nThe Significance of the first two components is not determined by the validation test. The first value of the first component is the expected value of the second component,","text_sha256":"d3a86b4ab6ea4fa614ed834cf339a8a346686466f8a449f601a5285b1682f26d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1020000-10-conversational_prose-unwatermarked","seed":1020322,"text":"\n\n4. Avoid being rude.\n\nIf you're just starting out writing something, it's important to always be polite, to say the right things, and to be open to new possibilities.\n\n5. Keep your writing concise and succinct.\n\nThe best way to make it concise and concise is","text_sha256":"31c7fc6748d24c682da9a988c0788891a7e52739dd079d5a54860a55d383c67e"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1020000-10-conversational_prose-watermarked","seed":1020322,"text":"\n\n4. Avoid using the verb \"to\" when it means something that is not in the sentence.\n\nSometimes, a sentence does not have to have something in it. If you don't say the verb in order to make it in the sentence, you don't know what the sentence actually means. Instead","text_sha256":"d421621384ac41224bb7f098bfbc1f31f137715f9d96fd7543dcbee3adffcb43"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1020000-11-structured_instructional-unwatermarked","seed":1020352,"text":"\n\nUsing a combination of letters and combination of letters can lead to the following benefits:\n\nBetter spacing\n\nBetter control of the spacing of the two words\n\nBetter control of the spacing of the two words less difficult to read\n\nBetter control of the spacing of the two words more consistent\n\nBetter","text_sha256":"e9d603b175449940880d02148f75b8e43fe5dad262a62d5b203e31b50919e7b9"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1020000-11-structured_instructional-watermarked","seed":1020352,"text":"\n\n6) Create a simple one-off project\n\nWork on a series of projects. The main one-off project will be a simple puzzle, with some basic code that you can use to solve it. You'll be able to start from scratch, but will have to re-work the puzzle, and","text_sha256":"eed67a26293294d9e34efad0f5f593376bd5c7feb5d528b7b8359db9a767beec"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1020000-12-general_explanatory-unwatermarked","seed":1020384,"text":" (This is a book, but it's really just a text that will get you through the whole thing.) The problem with writing in a sentence is that you're writing in a non-standard way. It's just the way things work in the real world. If you want to write a sentence that's not just","text_sha256":"04bfc764f82e83f378004c197cf067664804bad05ff63fb3ca9cff4877a463df"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1020000-12-general_explanatory-watermarked","seed":1020384,"text":" (Or maybe two)\n\nIn a study of a large number of children, researchers found that the best way to create an interesting sentence in one sentence was to give a sentence just the right amount of margin development. It's actually a pretty simple way to do that; just make sure that the sentence is in the","text_sha256":"da507b97583c608bf61ebb22978867d7a135fc4e215152f9d1de7482030237a8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1020000-13-technical_explanation-unwatermarked","seed":1020416,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Define a set of data parameters to be passed to the validation check.\n\nDefine an input to be sent to the validation check.\n\nA test that checks a specific set of data parameters.\n\nA test that","text_sha256":"a286f384b1f1260b8efefb01aaa245db13b306a50df9fecebc0cc65fedf8af69"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1020000-13-technical_explanation-watermarked","seed":1020416,"text":" Use a single validation check to confirm the success.\n\nWrite your own message to the group. Write a simple message to explain why a failure mode was not implemented.\n\nWrite a message in which you provide a demonstration of your proof of concept.\n\nWrite a list of the main parts of your proof of","text_sha256":"9c5e7d1e497c9c67852e6d16c774a49630fa076ccc7a1a05b60c5fc2bfc3bbd2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1020000-14-conversational_prose-unwatermarked","seed":1020448,"text":" It may not be a good idea to use this technique, but it can be effective and will help to avoid situations where you have to resort to this approach.\n\n1.2. How to Use Letter Mix Margin Development\n\nBy using natural conversational prose, you'll learn to write your own letter mix","text_sha256":"fb238348837a7dd61b61849ccc518045f129fd96957571a6d6c328680842b213"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1020000-14-conversational_prose-watermarked","seed":1020448,"text":" Use a good mix of formal and informal terminology.\n\n3. When writing a blog post you should include something about yourself\n\nIt's not always possible to write a good post on a particular topic, but when you use a good mix of formal and informal terminology, you can bring in lots of interesting information.","text_sha256":"f00c1f42c099c8508b3150cd796cbcc15747e41fbc1818f1fb86a063a7c48b9c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1020000-15-structured_instructional-unwatermarked","seed":1020480,"text":"\n\n\nCreate an \"object\" class, where you write all the code needed to program in the class, along with an example of what to do.\n\n\nCreate a \"context\" class, where you write all the code necessary to write code in the context of a class. The class should be the same as","text_sha256":"78d6714cb1f281d46e1bb8a13f747c4b77b8417c9127b503df2cd306062e6e8e"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1020000-15-structured_instructional-watermarked","seed":1020480,"text":"\n\n\nMake a simple four-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete.\n\n2.4.1 Add a few extra spaces to the beginning of your sentence, so that you don't need to add additional spaces for the first sentence.\n\n","text_sha256":"c7fabb291c4ca45311fed87ccf878151d93e81ca4502c008e052342c6dea90cb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1020000-16-general_explanatory-unwatermarked","seed":1020512,"text":"\n\nHow to Improve\n\nIf your algorithm is not designed to provide you with the information you need, you need to look at ways to improve it.\n\nFor example, let's say you're trying to figure out what the number 1 on a given letter is. Your algorithm might take your name, e","text_sha256":"416f4ccfcad408541df000a28ce476893ade26c018e3bdade08ebfd787fefc72"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1020000-16-general_explanatory-watermarked","seed":1020512,"text":" You'll learn to write without losing your fluency.\n\nHow to write more concisely. One of the best ways to write concisely is to write one sentence, and you'll be able to do so at the same time that you're writing a sentence. If you're able to write more concisely than","text_sha256":"7a8c8ff42a6b67ff8c02941f4372df97446fde8c685c94f8bd70a55d01d6a625"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1020000-17-technical_explanation-unwatermarked","seed":1020544,"text":"\n\nThis specification will be updated regularly.\n\nDocumentation\n\nThe following will be updated:\n\nDocumentation\n\nThe following will be updated:\n\nDocumentation\n\nIn order to contribute a bug report to the code base, you can send a pull request to pull@github.com and","text_sha256":"846793a081ce99dda882b02e38d93404c3cc5de714e4ce5638a790afcdf76e91"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1020000-17-technical_explanation-watermarked","seed":1020544,"text":" Define the reason, and how to mitigate it. Use the standard Eulerian-Merkle-Lerner equation for the following three components: (a) the result of a program being written, (b) its correctness, and (c) the size of its output. A given test should be","text_sha256":"8f93fa1ed984234a410dea78a62b0e9c49f97d5a7852d712385984e80d97bac1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1020000-18-conversational_prose-unwatermarked","seed":1020576,"text":" You'll get lots of replies with a general idea of your message.\n\nFor a more in-depth discussion about writing good letters, check out this post from the ABI Forum:\n\nHow to Use Word-by-Word Conversational Style\n\nThe first step in developing your writing style is to develop","text_sha256":"816d28f563a21a64bb8d095bfc3e069fc3a3897478540feb447899850a3f924e"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1020000-18-conversational_prose-watermarked","seed":1020576,"text":" You'll learn how to make the letter work, but you'll also learn how to write your letter very well.\n\nThe best letter mix is what you like to do. The best blend is what you think you want. The best blend is what you think you want to get out of writing.\n\nThe","text_sha256":"d2f07f681232ad8159965c648fe9788ce7b98db80618a78a73f390d71f36ffb0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1020000-19-structured_instructional-unwatermarked","seed":1020608,"text":" Be sure to be precise and not over-complicate.\n\nFor example, use a short 3-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete. Be sure to be precise and not over-complicate. Write simple, concise and easy sentences to keep","text_sha256":"407432115d905776172145e22b3cdef12cad56c09fb80d57ae4a2ddcef78acac"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1020000-19-structured_instructional-watermarked","seed":1020608,"text":" Use a series of four or five steps to make use of the first set of letters. You may want to test your first set of letter mix margins to see if they're working.\n\nTry repeating the same experiment in a different set of letters.\n\nTest your first letter mix margin and write a short three","text_sha256":"99fc53ab34ee3ff862ce1248714e50bef32daef41144465aa938f3593908ea93"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1020000-20-general_explanatory-unwatermarked","seed":1020640,"text":"\n\n1. The letter \"C\" is a standard.\n\n2. \"X\" is a standard.\n\n3. \"B\" is standard.\n\n4. \"E\" is standard.\n\n5. \"F\" is standard.\n\n6. The letter \"X\" is","text_sha256":"1da7032f43ff9579253e2e1d3662b5dae1c296541073879adf9e4805f858f6d7"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1020000-20-general_explanatory-watermarked","seed":1020640,"text":" Use a single letter to describe exactly what you are trying to explain.\n\nUse a single letter to describe exactly what you are trying to explain. Start with just one sentence\n\nUse a single letter to describe exactly what you are trying to explain. Keep at least two separate paragraphs\n\nUse a single letter to","text_sha256":"731e1eea2cab7fbdaa0e2dce7ff9f925515ff3a0b8185bde411aa8d02b52e3e1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1020000-21-technical_explanation-unwatermarked","seed":1020672,"text":"\n\n4. Assign the final input type to a variable named input , to indicate that the data type is of type Input .\n\n5. Define the output variable named input_type to indicate that the data type is of type Output .\n\n6. Define the main output variable named input_","text_sha256":"8f11296c086f7b38b54dca00a62177737bd1ec332aa51e1a40328adc6b959592"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1020000-21-technical_explanation-watermarked","seed":1020672,"text":" Use a series of tests to test each new failure mode, then run them again to see if they produce an error.\n\nNote: A single failure mode will usually produce a 2nd failure mode with a 3rd failure mode.\n\nFor example:\n\n# test the test suite. # test the test","text_sha256":"d35a9a60419bb292da4b0ae868985448f7162cdc2c4ca992939f54598ad93482"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1020000-22-conversational_prose-unwatermarked","seed":1020704,"text":"\n\nLet's say you're in a business relationship and you have a great customer service call. What should you do? What should your customer say? The answer to each question is more like:\n\nWhat should you do? How should I get out of the business?\n\n\"What do you mean by","text_sha256":"911e893ee8529b101942d4c43f58da22cc5bdbd107427342943d6cfff76e8905"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1020000-22-conversational_prose-watermarked","seed":1020704,"text":" Use a \"possible\" answer that is not at all obvious.\n\nDo not try to be too precise with the answers. It may be a mistake to say something that is not obvious.\n\nMake the answer as simple as possible. This is also the reason why you should use any number of different \"","text_sha256":"1c7bae05a31b7bd488d71fe0f2a888091c02ef6be54ab21565281e744c83e0bb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1020000-23-structured_instructional-unwatermarked","seed":1020736,"text":"\n\nExample:\n\nWrite a short three-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete. Write a short three-step instruction for applying letter mix margin development in an experiment. Use complete sentences and keep each step concrete. Write a short three-step","text_sha256":"ba64968c517f3a05487613a3174a6db5b1e2ac76b827bf5d2d401c0ef089a0d9"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1020000-23-structured_instructional-watermarked","seed":1020736,"text":"\n\nExample:\n\nThe next thing you should do is to write a short sentence that shows the letters. We're going to use the second sentence to show how it looks in the context of the letter mix.\n\nThe first sentence is going to show how we can use letter mix development to help with words","text_sha256":"1f55129131df10bfe469cfd4cd1dee123c97e51aace7b2b291ad7bbac613c1ad"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1020000-24-general_explanatory-unwatermarked","seed":1020768,"text":" Write one coherent paragraph with an explanation for why letter mix margins matter.\n\nWrite one coherent paragraph without a list. Write one coherent paragraph with an explanation for why letter mix margins matter. Write one coherent paragraph with an explanation for why letter mix margins matter. Write one coherent paragraph with an explanation for why letter mix margins","text_sha256":"e9c91ff3b78f42d9a863a59d9be1b56be3c756612445f3e9fb0c8cccba6e8c35"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1020000-24-general_explanatory-watermarked","seed":1020768,"text":" Use a list sparingly and avoid lists that use a single sentence.\n\nWrite a coherent paragraph without a list. Use a list sparingly and avoid lists that use a single sentence. Write an important paragraph and give it brief description.\n\nWrite an important paragraph and give it brief description. Write a concise paragraph","text_sha256":"4d6671dde9f00c5ef9b549a9e3056ec7faa854e8c71790659825d2c1ba627b16"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1020000-25-technical_explanation-unwatermarked","seed":1020800,"text":" It may be useful for a small application or group of experiments but not for large ones.\n\nDesign the application using the above design rules.\n\nWrite the following code to define the validation check:\n\ndef test_validation_check ():\n\ndef validation_check ():\n\n\"\"\" Checks","text_sha256":"1859872e22470878092075872701965beebb011335546c1cb8138f1acf052bf0"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1020000-25-technical_explanation-watermarked","seed":1020800,"text":" This is an example of a typical application that contains a program that does not validate itself. The problem is that it can make mistakes, like changing the first test character and the first test character after the last test character.\n\nThe reason is that the first test character has been inserted into the test case in the first","text_sha256":"c03747da1519f59c8d9dd7a77dc86dcfbc89f9292344fe12b985b292c02f67e8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1020000-26-conversational_prose-unwatermarked","seed":1020832,"text":"\n\nIf you're writing a letter to someone, you can't just say \"I'm sorry\" without going into what you say. Use the following template to describe your thoughts on the topic.\n\n#1\n\nYou're writing this letter to the editor because she's really looking for a response to this","text_sha256":"82275f25d8ef79577a5b7d38eb40ece39a15245fc6784d9beb9c285855ff244c"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1020000-26-conversational_prose-watermarked","seed":1020832,"text":" Use a quick and clear writing style that is both clear and readable. If you're going to say something that might be hard to believe, use a clear, concise text and a quick introduction to the subject. If you're going to explain something that would be awkward, use a quick and clear introduction.\n\nAs","text_sha256":"a852f172130857ad33645722f961ac1a949d8a7899a0eff163728ffd02935900"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1020000-27-structured_instructional-unwatermarked","seed":1020864,"text":"\n\nExample 1\n\n1. (1)\n\n2. (2)\n\n3. (3)\n\n4. (4)\n\n5. (5)\n\n6. (6)\n\n7. (7)\n\n8. (8)\n\n9.","text_sha256":"c578ef617a5874344ee9b7c75650f8c9003a4a32712ed9d7bc58bd5ae3636ba6"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1020000-27-structured_instructional-watermarked","seed":1020864,"text":" Use a simple but effective program that includes a short one-line example.\n\nThe program for this program is named \"Test C\". The test program is \"Test C++. In this program we have a simple program that we test using simple sentences and a simple one-line example. In the following section I","text_sha256":"c321eddabbf42e143aab95c1206c4025916fde9199dd4d0d05bdc6ee89a02ef8"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1020000-28-general_explanatory-unwatermarked","seed":1020896,"text":" Write a concise, clear, concise explanation of the problem. Write a simple, easy-to-follow explanation of the problem. Avoid the repetitive, jargon-laden details of paragraph development. Include the following: \"How is this possible?\"; \"How can this be solved?\" \"How do I know?\" \"What","text_sha256":"a3e3f913ad1667bfa21f1388b862fc8aa004a363ba63ae7d36419629dab52c12"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1020000-28-general_explanatory-watermarked","seed":1020896,"text":" Write one sentence in a single sentence. The first rule for good practice is that the length of a sentence should be the most important factor.\n\nLet's say your team works on an engineering project with a team of engineers working on a single project. The following paragraphs summarize how you can better use the first paragraph to","text_sha256":"ff12d95b90c3fc93458d7a5cf9b08978fa62f3a7b52b8e530ce93e62a7f7e2ab"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1020000-29-technical_explanation-unwatermarked","seed":1020928,"text":" Then define a single implementation and check the output. Make sure you are not writing a bunch of code, for example, and you don't need to know what one is.\n\nThere are a number of ways of looking at the problem, such as:\n\n- The standard implementation (e.g., the","text_sha256":"1d72b6d0cdc970214fa35ce4c18d6e022583cc1228a2ed9e8fd8e2ba967d5104"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1020000-29-technical_explanation-watermarked","seed":1020928,"text":" Then define the validation checks, check the validation result, and verify that the code has been validated. The validation check also includes a check to confirm that the code has not been modified.\n\nExample 3: Code\n\nThe example is a simple code test and the validation check is to use the default code test.","text_sha256":"c4f1da1d2c0fb763f611389075f0de531c7050173287ef9da747dafa98d73bd6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1020000-30-conversational_prose-unwatermarked","seed":1020960,"text":"\n\nWhen writing the piece, write a word of a new idea as if it were a question.\n\nDon't waste time on phrasing the answer.\n\nUse a more concise, clear, concise answer.\n\nDon't use a word of a new idea as an excuse to leave out an important","text_sha256":"b7c6d0a053d52473696954bd31ad6bb40e1a08aa0f69483dd303c4963e9c0b95"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1020000-30-conversational_prose-watermarked","seed":1020960,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Use the perfect grammar. Use the vocabulary you need to understand your language.\n\nUse the vocabulary you need to understand your language. Use the right punctuation.\n\nUse the right punctuation. Use the right punctuation.\n\nUse the","text_sha256":"ff3f3876d4028236ac5e25ee85da6a1cac8622fc22d888a7e8a31d9d90209195"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1020000-31-structured_instructional-unwatermarked","seed":1020992,"text":"\n\n4) Use the formula:\n\nPow a line on the top of the page (the middle or bottom portion) and cut it up (the bottom section).\n\n5) Keep the same length of paper.\n\n6) When you have a piece of paper with a vertical border, write","text_sha256":"cc825dd93fab5f02f921a8d6882601801674e6baa44f204c41f9351cfd976f56"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1020000-31-structured_instructional-watermarked","seed":1020992,"text":" This method is useful for doing the following: Writing a long list of words. Writing a short sentence with a few lines of code. Writing a single sentence without a single sentence.\n\nHow to use it on an app or an email message\n\nUsing this method, you can write a short list of words with","text_sha256":"39ad7bb82b5e27cef420f4a2b7e92909b61c6ca9471f381ea18075682582a14a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1020000-32-general_explanatory-unwatermarked","seed":1021024,"text":"\n\nUse common sense. Use a simple, concise notation to describe what exactly happened.\n\nWrite simple and concise paragraphs with concise, descriptive paragraphs.\n\nDo not over-explain what happened.\n\nFor example, if you are trying to make a chart or a chart-looking graphic. For this","text_sha256":"13d84d3788020fe776a8b6ad90e2d8b3ae7e1699790a5ec279a6899fabe60928"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1020000-32-general_explanatory-watermarked","seed":1021024,"text":" Use a long list of words. Remember, writing a simple sentence that is concise and easy to understand does not mean you can't write another sentence.\n\nMake the sentence clear by using a clear sentence structure to help create a concise, understandable sentence. For example, a simple sentence that uses words like \"I told","text_sha256":"5fb01174ab32bb1ec6a34308c36ecdb56d856a223d712e97c2e0b8284f8c0d29"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1020000-33-technical_explanation-unwatermarked","seed":1021056,"text":" Write an explanation of the validation check. Provide a reference for a validation check that the check must go through and check, and a reference for a validation check that it should not. This approach is useful for testing a system with the same or different configuration. A good example is an \"experiment\" that is intended to","text_sha256":"33d33b4bb18b83071040e05e4bf9e8173850d9bbc58e6b800eb31831c73a18c6"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1020000-33-technical_explanation-watermarked","seed":1021056,"text":" Create a model, which determines the validity of the model. A validation check is a check of the integrity of the model. A validation check is also a validation check against a data structure, or a check against a schema, or a check against a data structure on which the application is based. A validation check is a","text_sha256":"ed82f3bb78372ddad2f796dfa88f442527a978de8c498053f41005f29108c99e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1020000-34-conversational_prose-unwatermarked","seed":1021088,"text":"\n\nFor instance: \"If you're reading to you, you're reading to yourself,\" says a writer at a tech company. \"You're reading to yourself and then you write on a paper or a computer screen.\"\n\nA writer should use his or her first name and a third-name, instead of","text_sha256":"71957b3380cfdadb0a651e38674a4ebe8ae617cf5bf34e720bc657dd1ddcf5e9"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1020000-34-conversational_prose-watermarked","seed":1021088,"text":" Use a quick glance at the source text and the subject line to get an idea of the structure.\n\n\nIf you write your own grammar, you can write a whole language. Just remember to use the same language as your source, without a grammatical problem.\n\n\nKeep your \"gut feeling\" in your","text_sha256":"75e23e171b211de51008d04beb4bd0e050ae5eb035eaca21163e5eea2f3ffb7e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1020000-35-structured_instructional-unwatermarked","seed":1021120,"text":"\n\nTake the following simple test, write a short letter and put it in an imaginary box. Write a little word (a small letter) and move it along the edge of the imaginary box.\n\nExample:\n\nHere's how your code will look if you put the letter 'p' in a box","text_sha256":"85dfe59565744059b932cdd0328cbb9a81d57f8678d55eadf8e8155c8f8e88fc"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1020000-35-structured_instructional-watermarked","seed":1021120,"text":" Use a series of small steps to achieve the desired result.\n\nIn addition to these basic steps, a \"brighter\" set of instructions is also available. These are:\n\nStep #1: Start by writing out an extra letter mix on the left side of the screen.\n\nStep #2:","text_sha256":"bc52ba227862f80a0ee0e9dd19be9458fd9ea541bf35c6b278d86f2ded63de66"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1020000-36-general_explanatory-unwatermarked","seed":1021152,"text":" Write one concise paragraph.\n\nA couple of common problems with the following formula:\n\nThe formula is wrong.\n\nThis is the first problem. This is the problem with the formula.\n\nWe have a number of problems with the formula. You should take it seriously. We're talking about the following","text_sha256":"9018d02633347b680d948ba6adc9c4fa1822c234a32a84afc889d624883673f4"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1020000-36-general_explanatory-watermarked","seed":1021152,"text":" Use a single sentence or paragraph.\n\nA \"letter mix margin\" is a feature that lets you split the work into separate portions. It's also a feature that lets you have a single paragraph which summarizes all the parts of a document.\n\n1.1.1. Incorrect letter mix margin development\n","text_sha256":"9606f91014a2f2140e6db91dddaf447dc5c4db17345fbdfca8dcd8aac2d3cc15"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1020000-37-technical_explanation-unwatermarked","seed":1021184,"text":" Explain the design and semantics of the software you want to test. And, in particular, explain the benefits of working with code from a single implementation.\n\nIn any event, here are some examples of how to think about this type of proof-of-concept:\n\nOne of the first things I'll tell","text_sha256":"4e01038614a71ea7272428f4ea9c73ff6b628e110b2d9a58748eea081273f90a"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1020000-37-technical_explanation-watermarked","seed":1021184,"text":" Create a small number of failures and add them as validation checks. Then, when all checks are done, you can proceed to the next stage.\n\nIn the above example, the validation check will give you the number of errors, and it will also give you the number of validations.\n\nIn the above","text_sha256":"6c6160ea7c9c86789b63319fba33a1fe5c4f6762c75e4f62ffb01ad3c6cbec86"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1020000-38-conversational_prose-unwatermarked","seed":1021217,"text":"\n\nIf you're new to this style, here's how to start:\n\nFirst, start with the basics. In most other contexts, you'll probably spend an hour or so reading about writing a sentence. This is because most of the time you'll be using a sentence to talk about an issue.\n","text_sha256":"574cb88a09389a354f4cf100effb8305cd104064257866b4b3eb14e3ae3b44ad"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1020000-38-conversational_prose-watermarked","seed":1021217,"text":" Don't focus on words but rather how you describe the topic and what you say. Try to be consistent and explain what you mean with words and phrases that are easily understood by the listener. Keep it brief. Write your sentences so you don't get frustrated or annoyed. Don't try to pick the right sentence for you","text_sha256":"4bb8c942d3e25370fcd29712c21afbaf57651d58786a0c9427b535886fd58301"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1020000-39-structured_instructional-unwatermarked","seed":1021248,"text":"\n\nA. Use two-step (the first step of your experiment) and a separate step to apply letter mix margin development. For example:\n\nA. Start with a letter mix margin with a 0.5 percent margin;\n\nB. Begin with a letter mix margin with a 2 percent margin;","text_sha256":"add9fce5ff32a86ac1f6d0d70685417b608cb45c26b9e3a1775e36c55deb8c77"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1020000-39-structured_instructional-watermarked","seed":1021248,"text":" Use a letter mix to apply the letter mix to your subject. Then use a letter mix to apply to your subject's sentence. Finally, use a letter mix to apply to your subject's sentence. Using a letter mix is the easiest way to apply the letter mix to your subject.\n\nAs you can see,","text_sha256":"1705c0f8b68cc7768c1a9d7381e9790ecec440c8e23eda600f4e3bd156c3ec4c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1020000-40-general_explanatory-unwatermarked","seed":1021280,"text":"\n\nUse a simple but solid explanation of the subject matter. Avoid repetition.\n\nUse brief descriptions.\n\nUse a good summary.\n\nAvoid writing an exhaustive list of all the words in a sentence.\n\nUse good examples.\n\nKeep in mind that some of the best ways to make your","text_sha256":"a483bc67cd223b9db51b6193a794a7abc48e337c79f603e65bf9dfeed00e6607"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1020000-40-general_explanatory-watermarked","seed":1021280,"text":" You'll see the value of concise, precise and succinct prose.\n\nA lot of writing in a single word can make a big difference.\n\nThe best example of a good word-wrap in a single sentence is from the book of A Song of Ice and Fire (1940), by the great American author","text_sha256":"582636069f1747dd79059ae9f550a05097635f9fefd638a919e7fffb3330462e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1020000-41-technical_explanation-unwatermarked","seed":1021312,"text":"\n\nIn any given experiment, consider three possible combinations:\n\nIf there are no validation checks and if the algorithm fails, one is likely to generate a failure test.\n\nIf there are multiple validation checks, one is likely to generate multiple failures.\n\nIf there are only two validation checks, one is","text_sha256":"f6bc4a74bae6347b3e3602bcdb441c4a63e1dffa5174c56a1f822fd2c3cb2053"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1020000-41-technical_explanation-watermarked","seed":1021312,"text":" Use a series of rules and an example. You may have to use some sort of logic, such as this one for a test case, but we'll stick with it here:\n\n1.1.1. Rule 1.1.1. Rule 1.1.1. Rule 1.1.1","text_sha256":"d6366a7064cc3352aadedb8c1a22421d5a0408dc5913611df1f400c0e2b8ad7b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1020000-42-conversational_prose-unwatermarked","seed":1021344,"text":" For instance, say: \"The number of letters in this sample is 2,000, but there are many more that you can include in the next sample.\"\n\nThen, use a simple word test: \"You are correct that you have some other words to use in your question that you are looking at.\"\n","text_sha256":"4179c7d7fce8df3d48668eb1d4c18432634e856ffabfd8cea9516733e218b3a2"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1020000-42-conversational_prose-watermarked","seed":1021344,"text":" For instance, you might have a clear explanation of your language, and a clear understanding of where you're coming from.\n\nFor example, you might be asking why a business should pay you to write a sentence that follows a specific line of code. It's important to remember that that line is written on a line","text_sha256":"e9bf2755cc2552eea3c6b3bff49c64279874490f815921c4473c1aebc0490995"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1020000-43-structured_instructional-unwatermarked","seed":1021376,"text":"\n\nUse complete sentences and keep each step concrete. Use a specific amount of the following:\n\nA list of words to describe the letter.\n\nA list of words to describe the letter. An address (or address book, or address book app) to use to display your address in an address book.","text_sha256":"ac1109f564a108e36b2ffb4cfabe39ded15d43f727da1df59d99388f404d26fb"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1020000-43-structured_instructional-watermarked","seed":1021376,"text":" Use a single-word sentence to get the most out of this method.\n\nThe code above is a sample code from the tutorial. The idea is to use a 3-step approach. The first step is to apply two different letter mix formulas to the same letter, and then add the letter mix formula to the","text_sha256":"d7a3ef8be0ec8d25c22934aa370b25b61dcb08dda7ab41c7efb412290e770b8f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1020000-44-general_explanatory-unwatermarked","seed":1021408,"text":"\n\nWrite one coherent paragraph without a list. The most important factor in your writing strategy is your ability to write concise, coherent sentences. Your writing style and style-setting are best described by your \"rules of the game\".\n\nWhat do I do with my thoughts?\n\nIn the words of a well","text_sha256":"ad8b4d26b74d5af0d59f6d1e84ecee593cc6dd60678f46ca8ad0e8dedad30c99"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1020000-44-general_explanatory-watermarked","seed":1021408,"text":"\n\n(You may also use this code to create a sample program which makes sense for you.)\n\nHow to Apply:\n\nThis is a test for the ability of a few words to explain a simple problem.\n\nPrerequisites:\n\nYour name should be John Doe.\n\nYour email address","text_sha256":"8c413714ad1ba33deb7e5f40e2fcca0b36e8dfe9e8c0e18315fd8568d499810a"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1020000-45-technical_explanation-unwatermarked","seed":1021440,"text":" Write the test results to an email. Test the error and validate your tests to the end user.\n\n\nUse the test suite as a platform to test your software.\n\nHere you will learn how to write test suites for Python, C, and C++. We'll start with the basic concepts of how to","text_sha256":"1e848d9d51e4fc249ce472ff3cd1c458cd0e815998a07367ade9453bb6665262"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1020000-45-technical_explanation-watermarked","seed":1021440,"text":" Use a series of test cases, to see the best way to write that test case. Then, we will create a solution that makes use of this test case and test case validation.\n\nFigure 2. The test case is defined as\n\nFigure 2. The validation check is defined as\n\nFigure 3.","text_sha256":"22f8e4f1b481089fa9e3ad3741dfeaa6b523c888a5b1e62853bcdbdfd057558e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1020000-46-conversational_prose-unwatermarked","seed":1021472,"text":"\n\nIn the next article in this series, we'll use natural conversational prose to explain why letter mix margin development matters in our next blog post, The Importance of Natural Conversation Style: Why Letter Mix Margin Development Matters for Our Blog Posts.\n\nTo learn how to apply natural conversational prose to your","text_sha256":"1273a3892ccfe79f57569e6cfc250fbe1d35ed5d43114d41c62edcc3031798ad"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1020000-46-conversational_prose-watermarked","seed":1021472,"text":" You'll learn how to build your conversational vocabulary without sacrificing quality.\n\nThe best lesson in the class is how to design the letter mix margin.\n\n3. Make it your own\n\nThe final section of the course is an introduction to the concepts of text style and letter structure. The lesson is not","text_sha256":"5bece535c0322069c9b36c1506511dc996f2679b29648436c8cad9506c5c0091"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1020000-47-structured_instructional-unwatermarked","seed":1021504,"text":"\n\nThe program should be as easy as possible to follow and maintain.\n\nInstructions:\n\nStep 1: Use your favorite word processor.\n\nStep 2: Open WordPro and check your word processor.\n\nStep 3: Run the program.\n\nStep 4: Now, you should see","text_sha256":"ddc0e67aa0693e99c84df2a3c222649ef1648f8fb47e54387fd3faf91c78bfbe"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1020000-47-structured_instructional-watermarked","seed":1021504,"text":" Use a list of all your input options and an example of the solution to be applied to each step. The program works with any character and does not require a character or a number.\n\nA: Use the first three steps of the program to apply a letter mixture to the input.\n\nB: The first","text_sha256":"6187780c7ef4d11aeed80010da46f04d44a43d59cd411beca522c00c79d93fcc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1020000-48-general_explanatory-unwatermarked","seed":1021536,"text":" This is as simple as writing a whole sentence. It might not be the most elegant, but it's the best one I've found.\n\nA quick summary of the key ingredients:\n\nKeep your style, text, syntax, and style of writing crisp, sharp, and readable. Make sure your style is","text_sha256":"a29752d1352d66f033001c296c2f81d381f2d5e76df5ee039505307feb08af9c"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1020000-48-general_explanatory-watermarked","seed":1021536,"text":" This helps to keep the word count in line with what you expect a given word to say.\n\n5. Understand the relationship between word count and sentence spacing.\n\nThe most important part of the sentence spacing is word count. Word counts don't tell us how a sentence is going to turn out. Rather,","text_sha256":"0d49a62dd0293016d5acdf2fe5d714aee87443c746ecb3a730bb8f1eee2c6b18"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1020000-49-technical_explanation-unwatermarked","seed":1021568,"text":" The problem is that these two testcases don't go into production. You will need to include them both in the following. The main idea is to create an open-source test suite for your test suite. You do this by writing your test suite in a way that makes it easy for your developers to understand your code","text_sha256":"007b4344f70cc75b1e4c1fa7a65a18053c15b1ef257e37cc74cfb5e51a14427e"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1020000-49-technical_explanation-watermarked","seed":1021568,"text":"\n\nNote that the number of errors generated by each code test is a function of the number of errors in the code. The more errors, the more tests the computer will run on it.\n\nIf you write your code in a test suite, you have to write a test suite to test your code. That","text_sha256":"a7a220217ec86b53f58a05fba1c6428a6dfde60d0b62fe1e37a8b3b86af0d47c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1020000-50-conversational_prose-unwatermarked","seed":1021600,"text":"\n\nA lot of readers are still afraid to use the word \"correction\" in polite company, but that can be easily fixed.\n\nIn addition to this blog, I also have written a great blog on writing proper answers to the following questions:\n\nHow do you write a proper answer? Is there","text_sha256":"3c27750c6e349e8856d2a3a34a3a4af3f41b0573914c7af0533cc73f2b4e5421"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1020000-50-conversational_prose-watermarked","seed":1021600,"text":" Use a sense of urgency when explaining and understanding the nuances of the situation.\n\nWrite concisely, clear and concise sentences, which are easy to understand and understand as well.\n\nHave a clear, concise story in front of you that will drive the reader to the point where they can understand the whole thing.","text_sha256":"2b4c69f466a38ab135e4017a81bddd1d1034bda6867abb9c17926229202b8300"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1020000-51-structured_instructional-unwatermarked","seed":1021632,"text":"\n\nApply the entire sentence in one step\n\nThis is a simple example:\n\nHello, my name is Robert. I am a professional software developer, and I want to know about the project I am working on. I am looking for a simple, concise, and easy to read description of the design.","text_sha256":"468b179870a6b865ff109666b2bcb4ef89be546391e162d54acf798b9edaf80c"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1020000-51-structured_instructional-watermarked","seed":1021632,"text":" Use a series of simple, natural, non-linear steps. For the example above, we use the first one to test the idea that letters can be mixed. In the next two steps, the letters are mixed with a simple, non-linear step, and the letters are mixed with an intermediate step. Using this","text_sha256":"3c96074ca7bb5a4f2e0a4956596182f559e5b9907699f8d989f19003dcee2042"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1020000-52-general_explanatory-unwatermarked","seed":1021664,"text":" Don't use double hyphens as separators and use only one or two spaces.\n\n\"How to write with hyphens\" is an extremely important topic in the field of science. You should find examples of this in the \"Why did letter mix margin develop in Science?\".\n\nUse punctuation and backsl","text_sha256":"aed8d5188ea21ee7451d8f2ee3afd3b22b66bc005bd14d903fc3c6a3d6e74194"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1020000-52-general_explanatory-watermarked","seed":1021664,"text":" Don't use a single sentence. Don't use a single sentence. Write one coherent paragraph without a list.\n\nKeep your sentences simple in writing, not use cliches or grammar errors. Just write a simple sentence. Write one coherent paragraph without a list. Don't use a single sentence. Don't use","text_sha256":"c22562940ca063be901dffc6ea1213eade7ed02fe8f410318b66f27777b69fdb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1020000-53-technical_explanation-unwatermarked","seed":1021696,"text":" Then, discuss how to overcome it.\n\nTo learn about the various pitfalls of writing a software experiment, you can read our talk on the subject on the subject page.\n\nFor other articles that focus on writing software experiments, check out our blog, The Software Experiment Lab, where we cover most of the topics","text_sha256":"1dbc75ae6b3d3ecb06b3e2a572f235f7faf37ee0349ba1d65bf151e1ab882b42"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1020000-53-technical_explanation-watermarked","seed":1021696,"text":" Then, if you have something that can't be fixed in a proof of concept, you write a proof that you are certain.\n\nThen, write a proof that you are certain. Then, if you have something that can't be fixed in a proof of concept, you write a proof that you are certain.","text_sha256":"81a253017d4d1cf4e233c8624d4f4048bcb3b8c0aa87576c071bce7ebe4bca6f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1020000-54-conversational_prose-unwatermarked","seed":1021728,"text":" When you write your sentence, try to convey a sense of humor and not the opposite: A lot of the time, it's not that simple.\n\nYou can have a natural conversational prose by keeping it simple. Be sure to include a lot of detail when writing your sentence. A lot of the time,","text_sha256":"317d40db8f7f6a0513c176e26b9c2517dd06930805adbc7a54a230be19b1d758"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1020000-54-conversational_prose-watermarked","seed":1021728,"text":" Use a simple but effective sentence structure that reflects your target audience and is accessible to all.\n\nHow to use the letter mix\n\nThere are many different ways to use the letter mix:\n\nUse it as a guide to your target audience\n\nUse it to illustrate your business\n\nUse it to remind","text_sha256":"c02502dc094cb7f7523ba1c8fbced216c857b772fe8b4e2ee97d805d786841e2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1020000-55-structured_instructional-unwatermarked","seed":1021760,"text":" When you begin applying the first step, start with the letter mix to avoid having to repeat it over and over again. For example, if you applied this to a sentence at the beginning of the sentence and then the sentence changed to a new sentence, the letter mix would be the same.\n\nYou can test how","text_sha256":"9e02cd46e339ef6d235b972ede77da3a1c3c81dafb23ae4183d31669fe9bacb9"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1020000-55-structured_instructional-watermarked","seed":1021760,"text":" In addition to your own thoughts, this will allow you to analyze the behavior of the letters that you have applied, in the context of the real world.\n\nAs you apply a letter mix, it becomes more difficult to apply a new mix. This is especially true for letters that you have applied many times before.","text_sha256":"c49586118fc1638e9a042d5549c07289bdaf85526a172285daba7a8737e5f932"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1020000-56-general_explanatory-unwatermarked","seed":1021792,"text":"\n\n\"It is difficult to see why this is the case, but it is possible. We do not need a list of names and numbers. We do not need a word or phrase to describe any letter mix, even if it is a list of words that we know about. We do need a list of letters","text_sha256":"d49100a3fb1479daa21c1fedf5ca618cf383557c38bbc8f72aebd161add2e6eb"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1020000-56-general_explanatory-watermarked","seed":1021792,"text":"\n\n\"Letter Mixing\" is a word that is used to describe the process of writing in the abstract. It's used to describe how a word or phrase could be used to compose a sentence. It's used to describe the process of using a word or phrase to accomplish a particular purpose. The definition of a","text_sha256":"ed0186aa762aca1d56dc563db4fa004fa83bae15f4b72d53af519329dad871b8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1020000-57-technical_explanation-unwatermarked","seed":1021824,"text":" The main idea is to have the test succeed and to include a validation check for the failure.\n\nIn the most basic example, the test can have two failures. The first failure would have required a test. The second failure would have required a validation check. The test can have two failures. The first failure could","text_sha256":"7cfb3a6f642264f9ab2a89ec268de41477861d85266367222f3143f99cd144ae"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1020000-57-technical_explanation-watermarked","seed":1021824,"text":" Create the algorithm for each failure mode.\n\nExample\n\nAn example of the problem with the above example is the problem of splitting the input data into two parts. The inputs to the input part are the same as the other input part. The reason for this is the input data is separate from the data to be","text_sha256":"1a3feec3473d083bd0b5708ca6b87bbf6189309b917003aa2528cc0a284420fd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1020000-58-conversational_prose-unwatermarked","seed":1021856,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Know the meaning of your emails. Use real time flow to your emails, and to your customers. Use your written response to create the sense of urgency when dealing with your customers.\n\nUse real time flow to your emails, and to your customers.","text_sha256":"0880aa66493cf29e5325ab6866f52b6839abc245c49745b0218ef86d6d6406c7"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1020000-58-conversational_prose-watermarked","seed":1021856,"text":" Use a quick look at the data and what you're seeing.\n\nTake the lead.\n\nDon't let your words fool you. Instead of making your work more digestible, use the data to understand why you're working and where you are.\n\nThe most important part is making your work more readable","text_sha256":"ce3ca490cc00edb580fd168117d08f7b2636e1b480027f83b59a68eeced96bfe"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1020000-59-structured_instructional-unwatermarked","seed":1021888,"text":"\n\nStep 4: Add an instruction for adding more letters. In this step, add a step number, number of letters to the last word, and a phrase to add more words.\n\nStep 5: Add the words and phrases from the instruction. It's important that you have enough time to make the whole","text_sha256":"aa3fad95e7cfd1ebe2cd633bb8bb12436213995821a8e0cba8f6a4870d1cc00a"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1020000-59-structured_instructional-watermarked","seed":1021888,"text":" Use a more elaborate vocabulary.\n\nNote: A common approach is to use the two words \"shuffle\" and \"basket\" (with their own grammar). This way, you can have a good idea what the word \"shuffle\" means.\n\nThe trick to writing a good sentence in your sentence","text_sha256":"1e1dbdd3b599122edf5ea6ac4bca29b4fd38fa74a5a8c99e617324369a0aabcc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1020000-60-general_explanatory-unwatermarked","seed":1021920,"text":"\n\nThe following two examples illustrate the use of the formula below to write a simple letter:\n\n\"Hello, My name is Mark. I'm a professor of mathematics at the University of Texas at Austin. I'm interested in the following topic: Mathematical theory of linear algebra. I'm interested in the following","text_sha256":"fb87b34a4c7faa9e7fc78ac2bf6c035d6216fa00b04bc6179a6b62c369ec63b2"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1020000-60-general_explanatory-watermarked","seed":1021920,"text":" You'll be more efficient, but it won't be so fast, because you will read it in four or five sentences.\n\nLet's talk about the idea of \"re-inventing the mind,\" a concept that came up in the early 1970s in a book called \"An Empirical Study of","text_sha256":"e46b7735ab17de545297c7c39c6ba84dceb0a1a4864d4db999fce7e94c38b1ec"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1020000-61-technical_explanation-unwatermarked","seed":1021952,"text":" The main goal of this experiment is to test how well this test works. (Note that in some of the experiments, there are multiple failures mode or validation checks, so some of the tests may not be correctly handled.) The goal is to find a way to make it easy for the authors to make the test work if","text_sha256":"2849f097b91cfcaab9023a9a3bc16ba4a378bb38ecea07c39182a4fd78d46528"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1020000-61-technical_explanation-watermarked","seed":1021952,"text":" Use a typical development environment. Create a proof of concept paper. Create a series of examples and a paper describing the problems in a paper. Assume that the authors are interested in the study. In order to provide a test that would be useful, they would send a detailed proof. A single test will provide a more","text_sha256":"93bc42e67b2394da518686ff4ac1b6e6477af5573ba846071fd8169d90b869a1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1020000-62-conversational_prose-unwatermarked","seed":1021984,"text":" This is great for explaining things like, \"why are you writing this letter?\" or \"Why don't you just start typing the word\" or whatever it is you're writing and use it to describe the situation.\n\nThe first step is to read your letter carefully. If you're using a large number of words","text_sha256":"dba019d34e63b1a54655765d501ab56e3497f4a40788643cfbc541e40d6ed461"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1020000-62-conversational_prose-watermarked","seed":1021984,"text":" This helps to keep the audience engaged and makes it easier to know what the letter writer is saying and understanding.\n\nDon't use simple phrases. Make it clear that each word is grammatical. Keep it short, concise and simple. This allows the audience to understand the subject matter and the subject matter of the sentence","text_sha256":"67edd4265cf8b051d76afb19cbce20a9aaf6657091ebac753f39660260b0cec6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1020000-63-structured_instructional-unwatermarked","seed":1022017,"text":"\n\nLet's call the example \"The Little Girl\". You will learn about how to read a short one, and it will become much easier to practice. The first step, \"The Little Girl\", is to read a short article. This is the step that sets up the letter mix of the first three steps:","text_sha256":"60fad5bc3801ab956b3fd76109343f530cadb6ac5ea02d80ee163fa96ed9f298"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1020000-63-structured_instructional-watermarked","seed":1022017,"text":" You will need to use a simple or repeating bitmap.\n\n\nUse a single letter mixture and a single letter mixture to apply letter mix margin to the whole string (i.e., a single letter mixture for all four letter combinations).\n\n\nPlace a letter mixture on top of each of the five letter 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mix margin development","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-1030000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1030000-n64-2026-08-26/README.md new file mode 100644 index 00000000..f36ef3ae --- /dev/null +++ b/evidence/cycle8-mix-1030000-n64-2026-08-26/README.md @@ -0,0 +1,23 @@ +# Cycle 8 letter-mix margin detector (seed 1030000, 64 pairs) + +Measurement, not confirmation. Seed `1030000` and topic `letter mix margin replication` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 64/64 | 64/64 | 1/64 | 128/128 | 0 | 0.71292 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.66 | 0.52725 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.84 | 0.51307 | + +Do not rewrite identity unwatermarked 1/64 as mix leakage. Mix unwatermarked detections are 0/64. + +Closest mix watermarked row geometry only: `cycle8-1030000-48-general_explanatory-watermarked`, 144 insertions, score 0.513071, gap 0.044027 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +Combined with independent primary seed `1020000`: mix **0/128** raw WM, mix UW **0/128**, worst mix max 0.513691 (gap 0.043407). Letter-x1 on the same mix corpora is also 0/128 with worst max 0.527389. This is not confirmation and is not a freeze. + +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 603/1024. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-1030000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1030000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..07fa07ab --- /dev/null +++ b/evidence/cycle8-mix-1030000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +b88c4faed14527c6f41098eac0cc8d60458801abc49c445c4dfddd14d558a979 README.md +b917045a640fe981bc906df20b427fc4cbda3c4d4544f1e9054b47af07015820 decision.json +2dfb2d0edb8fd020de55909347012b3ce785fd578ae397d103ba7dc777274ff1 detector-compare.json diff --git a/evidence/cycle8-mix-1030000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-1030000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..3fb62353 --- /dev/null +++ b/evidence/cycle8-mix-1030000-n64-2026-08-26/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-mix-1030000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..71086c32 --- /dev/null +++ b/evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Put a single paragraph on the bottom of the page. Make a note of each sentence you write and describe what it will mean.\n\nThis article (The Writing of The Best Letter Mix) was originally published on The Conversation. Read the original article.\n\nRead next: How to Write a Short Letter\n\n","text_sha256":"57c30d9df1b800044b49a9f1aa7e88bd1476bdc4276a2a4960f69be168be462f"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1030000-00-general_explanatory-watermarked","seed":1030000,"text":" Use a language of your choice for your own research.\n\n3. Write an article\n\nThe most important thing to do is to write an article. Writing an article is the single most important thing a scientist can do. Writing an article can be done in about two minutes and it will be well worth it.","text_sha256":"0f004d56451b219d410f3344f2af573fcf990d8e1c704736866430a13425ac5b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1030000-01-technical_explanation-unwatermarked","seed":1030032,"text":"\n\nNote: If you are using an SMTP server in an experimental setup, use SMTP for sending and receiving emails. If you are using a PGP client, use SMTP for sending and receiving emails.\n\n2.4.1. Using SMTP for SMTP replication\n\nThere is no","text_sha256":"2a706eb4fcaad012727c5092c1fa1582ab23b9f8e1dd79c145e7d432a4ceec3b"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1030000-01-technical_explanation-watermarked","seed":1030032,"text":" Set up a test framework to test the replication strategy.\n\nTest framework\n\nThe test framework is a Java toolkit that can be used to test replication of various software samples. In the following tutorial we will demonstrate the replication strategy using a simple example.\n\nThe first part is a simple example. Let's","text_sha256":"ab240b236ba5d7c0f932627311b03cee6bcc4a05bb4404cefee856a7def4d65d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1030000-02-conversational_prose-unwatermarked","seed":1030064,"text":" Write a concise, understandable explanation of the problem.\n\nInclude an appropriate definition of how to deal with the problem in the problem-solving context.\n\nUse short explanations of each of the following topics:\n\nThe question, Answer or Answer.\n\nThe answer, or the answer to the question","text_sha256":"07c596675b69dd5780a6ae7a8c1c78812d3db78ad7d9025438f51c5ba6aa78a4"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1030000-02-conversational_prose-watermarked","seed":1030064,"text":" Use a \"text-to-speech\" approach.\n\nYou can learn a lot from this. For example, the authors of the new book about the evolution of English, Charles Taylor and James Watt, both of whom have published a book on the subject, are very clear on why letter mix margin replication matters.","text_sha256":"6298389f82baa5cfdfdc50160912a669816a083126119f464c161d385f37c3f8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1030000-03-structured_instructional-unwatermarked","seed":1030096,"text":"\n\n3. Create a sentence\n\nHere's how:\n\n1. First, write the sentence \"I do not want to tell you that I'm an expert in this.\"\n\n2. Then, add \"Please tell me if I am an expert or not.\"\n\n3. Finally, write","text_sha256":"70b0e2e3f0d8b21adb67962cf4d72871bfc4ce6e9c928d66d47d9b8fcd12d505"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1030000-03-structured_instructional-watermarked","seed":1030096,"text":" You will use a little bit of random guesswork to figure out the correct bit, but you should be fine. You'll find that the best approach is to get good at figuring out the letter mix, just in case.\n\nThe first step will be the second step, which is to use your knowledge of computer","text_sha256":"e302a73b3a4243ff74444a467ccc5c60ee21a528ff1f7b5b300b4e4d47d0d5b0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1030000-04-general_explanatory-unwatermarked","seed":1030128,"text":"\n\nMake sure the writing is a bit clear and concise. A well-written paragraph can be as concise as a complete paragraph.\n\nMake sure the writing is concise. A well-written paragraph can be as concise as a complete paragraph. Write carefully and carefully. The amount of data and information that can be","text_sha256":"4d36e526ee0a4ef126b9e02085e59f15b0d09c2986d43f58131a57ecae599fb3"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1030000-04-general_explanatory-watermarked","seed":1030128,"text":" Use a list of the most common errors to explain why you would be correct if your copy of the paper were not on your computer.\n\n1. Have the paper be checked and the correct wording checked. This is an important step if you are looking for a clear and clear, concise and consistent message.\n\n","text_sha256":"c606a45f0f961294f5fe6df3a84499f4bcfbde11d867d1f9e8c845deac160b66"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1030000-05-technical_explanation-unwatermarked","seed":1030161,"text":" The validation check can consist of: a single failure and a validation check; a single failure and a validation check plus the validation check plus a single validation check plus a single validation check plus a single validation check plus a single validation check plus a single validation check plus a single validation check plus a validation check plus a validation check","text_sha256":"11395f60c4e5eefffb663c31b69fdeb2e2f636e89967a32d710e9d78c126da20"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1030000-05-technical_explanation-watermarked","seed":1030161,"text":" Use a series of cases.\n\nWrite a summary of the proof of concept that summarizes the proof.\n\nThe author of the paper recommends that you use a paper summarizing the proof to do the validation work on a particular problem or a particular test.\n\nIn addition, make sure that the paper has a","text_sha256":"3623f852e3fddfd920991101387b73fabf120c40ed7ed30f58245b5ecdecceb4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1030000-06-conversational_prose-unwatermarked","seed":1030192,"text":"\n\nThe best way to understand why letter mix margin replication matters is to know how you need to set up your letters. This is because when you write your letter, your words are usually delivered in a consistent and simple way, and that is why they appear so well.\n\nThe common mistake that comes up when","text_sha256":"bfb47e1f6b780aade8a16bcfa2a5da358455ea3ad70c817d0c9875e86dd5fae2"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1030000-06-conversational_prose-watermarked","seed":1030192,"text":" Use a concise, understandable, and understandable explanation of the topic.\n\nWhat is the best way to write a letter? Well, most people prefer to write one or two paragraphs. But, we still need to write a letter. It is important to make sure that your written message is clear, concise, and understandable","text_sha256":"d1997a458088c4cfa8ab9f448d920865e51039f8c0802d7ae662da42d3abcdb2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1030000-07-structured_instructional-unwatermarked","seed":1030224,"text":"\n\nThe effect of the letters on the letter is shown in Figure 2.\n\nFigure 2. Effect of letters on the letter\n\nThe effect of letters on the letter is shown in Figure 3.\n\nFigure 3. Effect of letters on the letter\n\nTo show the effect of a letter on the","text_sha256":"447a6885f768fd25315d1ff4258a1d66e671fad89b316f1ec140d68af58e2ba4"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1030000-07-structured_instructional-watermarked","seed":1030224,"text":"\n\nThis test is intended to replicate the effect of a letter mix, by applying a set of letters to the same letters.\n\nHow to use this test\n\n1. Write a short three-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete.\n","text_sha256":"9da1886c3b7e3e0e7cb62e9e8d4507921896d5382065ed3c1fca16f807b2a82e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1030000-08-general_explanatory-unwatermarked","seed":1030256,"text":"\n\nIf you really want to learn the rules and get your hands on it, look at other research papers (and read the \"why\" section) to see what you can learn from these.\n\nIf you want to understand the limitations of the scientific method, read what others have to say about it. It","text_sha256":"05aab18fbd1339cbffe4b27fcc0d80f23d62ac6e3f1d58cbddfcc1ec56f32774"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1030000-08-general_explanatory-watermarked","seed":1030256,"text":" Create a good sense of what each of these rules are and how they are implemented in your code.\n\nYou can read our code reviews here.\n\nA quick reminder for how the different rules work.\n\nRule 1\n\nEach letter can have two distinct margins. The letters will have the same spacing but","text_sha256":"48f1cbf0268303c78d9b317d94d34ee322f902228557e07b7fd507374602f4d6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1030000-09-technical_explanation-unwatermarked","seed":1030288,"text":"\n\nThe first two steps can be defined as follows:\n\nThe first step is to define a proof of concept for a proof of concept (QT) (http://www.c-a-v.org/pq/c-a-v/pq-a-v/q-","text_sha256":"4f99d2295e5085906a61e053d1aa4ef128d3b8d6aeb888ec3626bd5b66c51804"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1030000-09-technical_explanation-watermarked","seed":1030288,"text":"\n\nFigure 4.5: Synthesis of a sequence of letters (3 letters) for a specific study.\n\nFigure 4.6: The first two letters represent the first and second letters of the same letter.\n\nFigure 4.7: A sequence of letters is a sequence of letters, which has","text_sha256":"4100f895c0bb2c66d2fd19bbb6f01cf1ef7658c558338b0d643bd969c867bd9a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1030000-10-conversational_prose-unwatermarked","seed":1030320,"text":" A good example is the following: \"I am going to start with one sentence. First, let's get a sense of what's going on. First, let's compare the sentence to the next one. What are these two sentences?\"\n\nYou can also try writing it on a blank paper or a notebook.","text_sha256":"317e3fe64903c47fc78ef1bb78a44b1f230a6c80516ced5d23d8af1c66b8fe0a"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1030000-10-conversational_prose-watermarked","seed":1030320,"text":" A good rule of thumb is to avoid using the verb \"to\" when it is not required.\n\n\"Why?\" \"Because you need to find something you can say,\" \"because you're not sure what to say,\" \"because you're not sure what to say,\" \"because you're not sure what to","text_sha256":"e2beb175e69296d7e6499d96b6b70f9cd414a928a742d3d857f891b7863fd56f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1030000-11-structured_instructional-unwatermarked","seed":1030352,"text":" Repeat step 1 until the letter mix margin replication is complete.\n\nAfter you've used the letter mix margin replication, you can use this formula to see how you can extend the letter mix margin replication to apply letter mix margin replication to other letter mix volumes. The equation is simple:\n\nLetter mix margin replication\n","text_sha256":"518db93f5a827f271c73640d57f9ea17b0252d04c40647f8bef5a70e1ecc8adf"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1030000-11-structured_instructional-watermarked","seed":1030352,"text":"\n\nUse a two-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete. Use one step for applying the letter mix margin replication. Use a one step for applying the letter mix margin replication in an experiment. Use a single step for applying the letter mix margin replication","text_sha256":"00ab32ce8acfac4ee0b20c7ebb5012630c5f48bb089c675f41901bd88a84053e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1030000-12-general_explanatory-unwatermarked","seed":1030384,"text":" I will explain the main principles of this approach. In a nutshell, I will try to describe the key problems and advantages of the technique. I also will explain why I think it is possible to write a well written, well-written, and well-written letter. In a nutshell, I will try to explain the","text_sha256":"2fa67e967122a8884098d5efc6d301eb21439a691caa6b56b8d8e10ecc946ede"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1030000-12-general_explanatory-watermarked","seed":1030384,"text":" Use a \"noun-verb\" (like \"have something in common with\") in place of \"your\" word. If you need to clarify, say \"you are an idiot.\" If you need to say \"thank you\" in a sentence, put it before the word \"my.\" (It's not about","text_sha256":"6dfdc53ee805711e54eaea0bf0532410443bb9e74ccf778d031244887daae073"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1030000-13-technical_explanation-unwatermarked","seed":1030416,"text":" It should only take an intermediate step to reproduce the failure mode.\n\nWhat is the \"validation check\"? A validation check is the part of the process where a test is executed to make sure that the test fails before it executes the test. It can be described as a test of the system's performance, or","text_sha256":"38fe7cc3a412c45fed14ecc957e594d962fb001399566793e854510c68e53726"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1030000-13-technical_explanation-watermarked","seed":1030416,"text":" Use a single validation check or multiple validation check to ensure replication is valid. For more information about test failures see [1], [2], [3] and [4] [5].\n\nIf you are already using a replication program and need to fix some or all of your tests or validation check, see [","text_sha256":"66409584da7534620719c8b20bf4233b7db5b976e45046a8f047373b04675882"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1030000-14-conversational_prose-unwatermarked","seed":1030448,"text":" Don't be afraid to point out weaknesses or exaggerations.\n\nAdvertisement\n\n1. Avoid using the phrase \"reputation\" when explaining your ideas. It's easy to be caught off guard by this, but don't be afraid to say it out loud. \"reputation\" refers to a specific","text_sha256":"747092616dc5c484260b2331459dd69a442ca6513d3c8cd14fcb7345906814b1"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1030000-14-conversational_prose-watermarked","seed":1030448,"text":" Don't forget to avoid jargon.\n\nThe second major requirement for letter mix is clarity.\n\nThe best example of a letter mix is the story of the early days of a railroad company. It is one of the first articles on the American press that asked the question \"How did we get our stories to be","text_sha256":"919fc6937110e774d0ad8b01303e97f8d78cc8f5bd27dfb093e9b6f617e9c54e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1030000-15-structured_instructional-unwatermarked","seed":1030480,"text":" Try to remember the basic idea of letter mix. In an experiment, try to do a letter mix with two or more sentences in a row. These are the steps. Next, let's add a final sentence to the set:\n\nIn the following step, we will need to change the set of letters to be","text_sha256":"a7c46277d02b9ef2bb4a6e27430e32ee1624bb7fc1a5abf5d3403e167a664e88"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1030000-15-structured_instructional-watermarked","seed":1030480,"text":" Try to minimize the amount of repetition and repetition. In a test, for example, a word will get three or four sentences in a row, if they are not repeated.\n\n2. If your text is too long, try to add more words to it.\n\nIn most cases, you don't want","text_sha256":"9f777909e5a23c54a4edcbad3e4bbb2c6c23c9b0ce73237147a44a86d392fd5a"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1030000-16-general_explanatory-unwatermarked","seed":1030512,"text":" Make sure you quote it straight away.\n\n4. How do you structure letters to fit the letter's meaning?\n\nYou can use simple and intuitive rules to shape letters. This post shows how to do this.\n\n1. Letter shape: How to make it easy to understand\n\nDon't put","text_sha256":"f5138aa24f66e7ed35b682bc461136f854ae1e81d3d2f49d53efa8a419d07929"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1030000-16-general_explanatory-watermarked","seed":1030512,"text":" Make sure the content is correct. For example, a simple paragraph about a new idea will not be written in a manner that causes confusion. Write a paragraph with \"I am using new ideas and have a new idea.\" Make sure the content is correct. For example, if you're trying to create a new book,","text_sha256":"75f54891d28181932b9e07730efa794cfc2fecc2c6c90fc028a6c0ee91e46ac8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1030000-17-technical_explanation-unwatermarked","seed":1030544,"text":"\n\n1.3.2.1. A general set of rules for writing software experiments and tests\n\nIn the following paragraphs, I shall show how to write software experiments and tests using test-based protocols. Note that I shall only use the most common test protocols: Vue 2.0 and Vue","text_sha256":"90fe220a0126e1bac62e4b33adc9578b54fd0e0dcc92ef59e743f0f325b0fa65"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1030000-17-technical_explanation-watermarked","seed":1030544,"text":"\n\n1.1. Failure mode\n\nFailures are a subset of error cases that occur when the error has occurred, such as when an application receives a response from the user and has not been updated for several days. Errors caused by a failure mode occur more often in software applications than in real life. In","text_sha256":"f3cb74aa86a14e1e9e916d9156102d024547b157de5d7bb15503859896e3b18a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1030000-18-conversational_prose-unwatermarked","seed":1030576,"text":" Don't try to force it, but explain the logical difference that has been caused by the mix.\n\nWhy are letters a good idea for social media campaigns?\n\nThe key to social media is the amount of content you get. A large amount of content on a site is worth more than a small amount of","text_sha256":"3d09d97a3cd72fbf68a271e9ab4c07439b4a393a6ca15e0e19215146c3b9ff9b"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1030000-18-conversational_prose-watermarked","seed":1030576,"text":" Don't try to summarize it, but if your colleagues know the answer, it means they're understanding your point.\n\nLet's say your colleague calls you a dumbass for asking to speak with you during a conversation. In case you were confused, you might want to try this:\n\nLet's say your","text_sha256":"f4cfa4c6bd22676123af326759918e2c36437b2fd14094f917436e8ea3052e83"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1030000-19-structured_instructional-unwatermarked","seed":1030608,"text":" Make the statement using one or more of the following words: 1. 'I was sent a letter, but I was rejected.' 2. 'I got rejected at the end of the first sentence.' 3. 'I just wanted to send it back.' 4. 'I am so happy about it.' 5. '","text_sha256":"29ceb16393d64d2648bc93965fbe6126bb9c1ef02c58c93a6ba3e8f5586819af"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1030000-19-structured_instructional-watermarked","seed":1030608,"text":" Make sure the sentence is a simple sentence. You want to apply the same bit of letter mix without all the repetition.\n\n5. Don't let the rules of the game get in the way.\n\nIf you play the same game with four different players, you may get different results. This is true for","text_sha256":"d9da396670c7c93d0e58e518fcab8c24c39aff3203ee0fc4546453b2b5be72d0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1030000-20-general_explanatory-unwatermarked","seed":1030640,"text":"\n\n\nUse this formula to improve your code's consistency. The formula will help you find out what to do when you want to make a change.\n\n\nThis formula will help you better understand the reasons why you need to change your code.\n\n\nHere are a few tips about writing the Formula:\n\n\nUse","text_sha256":"cb1b85c1de1d5fb00018a3e060a57aabed5fedc5da9e5fdef6e7760a09300abd"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1030000-20-general_explanatory-watermarked","seed":1030640,"text":" Use a list of the many reasons why a letter should be used, to make it easy to remember. This will help you understand why a letter is used. When you add more than one explanation to a sentence, you are putting yourself in a position where you cannot write them in a coherent manner. It is more difficult","text_sha256":"445aeae591e3e8b3279279d754044bfb92877b5af736a2634181d95c033cdcb6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1030000-21-technical_explanation-unwatermarked","seed":1030672,"text":" Use the number of failures to quantify the strength of your results.\n\nDefine the main idea, one failure mode, and one validation check. Use the number of failures to quantify the strength of your results. How do we ensure we're doing enough research? Use an experiment to test the strength of your results and","text_sha256":"8f1c0296ac1e136cfc77d11cdb69c1a8cc5e56ca0afefb7ab70d967e925cc3fc"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1030000-21-technical_explanation-watermarked","seed":1030672,"text":" Use a number of criteria, such as the quality of the data, the length of the experiment, and other factors, to determine the best approach to achieve the goal.\n\nFor example, if we were to replicate a single experiment, we would need to have three main problems to overcome:\n\n1. The","text_sha256":"34264a566ef822c89659435c9d4e12b1d662361acce80f5b833d65aeb89d4b36"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1030000-22-conversational_prose-unwatermarked","seed":1030704,"text":"\n\nTo understand the difference between letter mix and letter mix in general, I would recommend a look at the following three books:\n\nThe Science of Letter Mix\n\nThe Science of Letter Mix\n\nThe Science of Letter Mix\n\nIn this book, we'll learn about how letters mix in English, which","text_sha256":"68d34db8d910d61f43062ab4b955fb1ef537e77718b34b2e088da621a137a3f0"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1030000-22-conversational_prose-watermarked","seed":1030704,"text":" Use a conversational style that has no real use and with enough verbosity to allow an audience to understand what you are saying.\n\nThe goal of this project is to establish an online journal that makes it easy to keep track of all the major journal articles of the world and to create a real-time journal to","text_sha256":"3558bd05870041e4a57f9588c96e7efc937d8dabdf0c0ad06bf8ec6d37168696"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1030000-23-structured_instructional-unwatermarked","seed":1030736,"text":" This can be a useful tool for creating a good learning process.\n\n\n3. Test your learning and use it\n\nI have used the same method to improve my learning:\n\n1) Write a short code snippet, which will give you a test on the same page.\n\n2) Write a test","text_sha256":"5bceb15f4ac74f06176f175806df74cecd1e194ca55dae0d9efa02958464c179"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1030000-23-structured_instructional-watermarked","seed":1030736,"text":" This means, that the correct way to apply letter mix margin replication to a given task is to repeat each step without re-reading any other sentence. This is a critical distinction: if the letter mix margin replication is applied to the entire sentence, the original sentence is considered to be complete.\n\nNote: A long","text_sha256":"a137e3050a2a85c6b9f867c351f5ebbacc1ec35e5e350154e9715533defd7331"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1030000-24-general_explanatory-unwatermarked","seed":1030768,"text":"\n\nWrite one coherent paragraph without a list. Do not use \"spoiler\" in paragraphs.\n\nAvoid using the \"don't\" in paragraphs.\n\nDon't use \"spoiler\" in paragraphs.\n\nAvoid using the \"don't\" in paragraphs.\n\nUse \"spoiler\" in","text_sha256":"7ba50fd39fb0559ab8ac443309a14019f1931584fd8335a59aaac1c458f30df1"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1030000-24-general_explanatory-watermarked","seed":1030768,"text":" Use a simple-to-read syntax, such as C and C++. Write a single sentence without a single syntax error. Keep a list of all occurrences of the letter, and use the list as your corpus. Write a single sentence without any syntax error.\n\nExample 4: Make a paper about the same","text_sha256":"3e69a459ff5cafcc36296bdcd35883d9ca986258773896a1550a27f19606d1a7"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1030000-25-technical_explanation-unwatermarked","seed":1030800,"text":" Then write your own rule to verify if your rule is right. You will need to test the rule and if it is correct, you can post it on Hacker News.\n\nLet's say you have a test case that includes two email addresses and two domain names. You write a rule that is valid and can test","text_sha256":"6f0833260c8641d0f06e259c4f43dc2a0897d80689543a4ec5b0b2994838b0e6"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1030000-25-technical_explanation-watermarked","seed":1030800,"text":" Then summarize your proof by comparing the results with the results of other experiments. (Example: You're using a program that works with a single algorithm, but with a different algorithm in different parts of the program.)\n\nThere are many different ways to perform a replication:\n\nMaintain a copy of the entire document","text_sha256":"31143d6842a60c9480cdc199d994e458c32cd23af987aff2c46458d77a40eb31"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1030000-26-conversational_prose-unwatermarked","seed":1030832,"text":" Use descriptive words and simple phrases to convey the main points of the topic.\n\nWhy do you do this?\n\nThe answer to this question is simple. The fundamental principle behind letter mix margin replication is to ensure that your writing is succinct, concise and professional.\n\nYou can learn more about letter mix margin","text_sha256":"a025dd7726e67165a54a3ae3cc8b568751f7c41291d3bc344571ca72106e15ed"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1030000-26-conversational_prose-watermarked","seed":1030832,"text":" Use a conversational style that has no jargon, is easy to understand, and has the potential to be engaging.\n\nWhen writing, write with a clear mind, and with a sense of humor. Write about the problem and answer a question, but be sure to write about the solution and answer a question in a","text_sha256":"ec167593677f408622bf5303709de22b497b6ab66473bf8ea4e7af1c67f1cef7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1030000-27-structured_instructional-unwatermarked","seed":1030864,"text":" Use complete sentences to describe what the target language might be like.\n\nIn the following, we will describe the step-by-step process to apply the new language to a specific target language.\n\nStep 1: Apply the new language to a target language using the same steps we followed in step 2.\n","text_sha256":"553e887a7d7e99202845bba646fca6efade71b12373d03eb79c242644c16cd0d"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1030000-27-structured_instructional-watermarked","seed":1030864,"text":" Use a good set of code to ensure the letter mix is not broken.\n\nUse a test program with a simple test case. Use the test case to ensure that a program is not broken, such as by using a test case for an email address or text message to provide an example of the results. Use the","text_sha256":"027890dec1ad1923f41e21201952130f050c53b14159687fbbee8f97cfe79af6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1030000-28-general_explanatory-unwatermarked","seed":1030896,"text":"\n\nWrite a good article about the importance of the original letter mix in a research article. Write an article about how to replicate the original letter mix in a scientific article.\n\nMake sure you've got a copy of the original letter mix that you can use to record your experiments.\n\nUse the most recent","text_sha256":"b909dd4d980fe7ff7dcd62ab305564eb7a72b4d82a6e899dd5be5dc572f1c709"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1030000-28-general_explanatory-watermarked","seed":1030896,"text":"\n\nThis approach is not perfect, but it is the way to go. It has been used before. There are many other approaches that can be used to describe complex systems of information, but the best ones are as follows:\n\nFamiliarize the reader with information, as the reader does not know the details","text_sha256":"3249e963645a9bb5dd25e8aa6d31d1dc5001cb6dca24cf2b9e91fd5962686c1b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1030000-29-technical_explanation-unwatermarked","seed":1030928,"text":" For example, to write the following code:\n\n#include struct { iostream _iostream; /* the iostream is the address of the file descriptor, but this is not necessarily the root file descriptor */ } struct { } ; #define COUNT 0x7f","text_sha256":"e45c79f0ae0f28d407c84a4bae82cdbb11fd2b467cc42275a1dd747f77e9eedd"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1030000-29-technical_explanation-watermarked","seed":1030928,"text":" For this example, you will be using a mix of \"noise\" and \"high frequency\" (F-HS) mix modes. You will also have to test the mix, since it has two different modes. You must test it as a series of \"noises\" that are generated by the two different input","text_sha256":"22a1217fc17ce11f7e634b8455e1b43348430d1f667de34e224e5de9ea45f217"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1030000-30-conversational_prose-unwatermarked","seed":1030960,"text":"\n\nYou'll also need to be able to articulate all of the key information you need to know about the topic.\n\nIt's also critical that you be able to explain the main point of the topic within paragraphs.\n\nYou can use these two concepts to create a well-rounded presentation.\n\nYou","text_sha256":"43aacd7a59452f12cb40c33fb4f481bb2606c39ca3508a01cd7c9331aba1437e"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1030000-30-conversational_prose-watermarked","seed":1030960,"text":" Use a \"yes or no\" answer if you want to make the letter more coherent and easy to understand.\n\nAvoid using a lot of boilerplate. Be sure to include the best possible answer. Also, be sure to get to the point where you are able to ask questions that are actually relevant to the topic","text_sha256":"950262df9397c6e00cf06b4ee25e5c7fc16c1554630ffd9dfe645515f554ba4c"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1030000-31-structured_instructional-unwatermarked","seed":1030992,"text":"\n\nTest 3: The first set of tests can be done by using a different set of rules for the letters of the word \"b\".\n\nIn this test, we use the rules for the two letters of the word \"b\" as an example.\n\nLet's say we have two different sets of","text_sha256":"1cb0186e55edc4b5d0932ae6b95095537238b28cccc5ce6dea3a11531deb489b"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1030000-31-structured_instructional-watermarked","seed":1030992,"text":"\n\nThis is a great starting point. Start with the main part. Be sure to have all the sentence fragments available. The word \"letters\" is the only part.\n\nStep 3: Apply letter mix margin replication to a phrase. For a simple example, assume that each sentence is repeated two times.\n","text_sha256":"14f5e0f0118ff188c2dc331e3ab247075d4aa599f79944a04c1fb36b7eb5b339"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1030000-32-general_explanatory-unwatermarked","seed":1031024,"text":"\n\nThe \"1-letter rule\"\n\nNow, let's say we've read the entire paper on letter replication, but there are a few minor issues with it. Let's go to the end of the paper and look at the following chart.\n\nThe first problem is that this chart looks like a","text_sha256":"dcf45e7bb474302bb08b5209bd93690b5a0285948ec2b8f31cbf2a7e9ad89e48"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1030000-32-general_explanatory-watermarked","seed":1031024,"text":" Use a single-word section that is more concise than a one-word list. Use the same word format for every sentence.\n\nIn general, a good combination of rules and practice will ensure that you are producing a very clear and clear picture of how the letters and numbers of these letters and numbers work. In","text_sha256":"3a5b0c8c3f86e0d967a3d9d42b14301b745333c288c273511f70209a323da7aa"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1030000-33-technical_explanation-unwatermarked","seed":1031056,"text":" Provide a summary.\n\nCreate a program that contains a fixed length message box. Define the message box as a list of characters that must be enclosed in a single word. If the content of the list is not immediately visible to the user, define a message box with no content. Provide a summary.\n\n","text_sha256":"56d5c4373ae13d6571a23ba8e0ed8a7f7673c0855a1563f215358e6c84e92b7a"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1030000-33-technical_explanation-watermarked","seed":1031056,"text":" Set up a few key variables to keep things simple.\n\nDefine the main idea, one failure mode, and one validation check. Set up a few key variables to keep things simple. Ensure that the software is capable of executing the original test\n\nProvide a few extra variables for the test\n\nProv","text_sha256":"c4ad55815358a890f70ddc6872cdd44f4067297474a9f58611fc5f5268c0cca2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1030000-34-conversational_prose-unwatermarked","seed":1031089,"text":" This is good practice and it can be a great help when writing a manuscript.\n\nIf you're using a different syntax for the letter, try using the more compact letter instead.\n\nIf you're using a different language, use the letter that is the most similar to the letter.\n\nUse the letter","text_sha256":"70d4a8091f6e5156d92cb186e4c0d2a09f727527fe4eeae8b8312a9d93b439f4"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1030000-34-conversational_prose-watermarked","seed":1031089,"text":" This helps to keep readers distracted while making a persuasive case.\n\nDo not try to be a simple, straight-forward writer. If you are a writer, read with a professional eye and do not pretend to be an expert.\n\nKeep in mind that a perfect letter mix margin replication is not a matter of","text_sha256":"8b54ac415be17d130875c094b657dcfcceafc8747d7cf67ab93388dfe7fd0bb2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1030000-35-structured_instructional-unwatermarked","seed":1031120,"text":" When the sentence is a little too long, the result of the step is just a blank line. If you are doing a longer sentence, the result is even shorter.\n\nDon't forget to use the phrase \"spooky\" when you're doing the same thing, or, better yet, \"scary\"","text_sha256":"900c0b2386ef52ff919b5ca2afa521fd66274920a27e6bbb180dc2bf26c10401"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1030000-35-structured_instructional-watermarked","seed":1031120,"text":" You can also use a number of sample sentences.\n\nExample 3:\n\nWrite a four-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete. You can also use a number of sample sentences.\n\nExample 4:\n\nWrite a three-step","text_sha256":"aa0f6a93a8c9a9f1f0c89df9ce9fcb4d39bc4a9243db772a834f2e2cfff24571"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1030000-36-general_explanatory-unwatermarked","seed":1031152,"text":"\n\nIn the second paragraph of the paragraph, you write:\n\n\"This is why we should use the same letter mix margin replication principles. The purpose of the letter mix margin replication principle is to assure that each letter mixes the same letter, not the other.\"\n\nThis is not an exhaustive list, and","text_sha256":"82542b857b472a533e51e72caea5b1b1deea5b9016bf593b4e2051968bfdd457"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1030000-36-general_explanatory-watermarked","seed":1031152,"text":" Create a simple, concise and coherent explanation of the problem.\n\n\"It's possible that a single paper or a single paper-by-paper analysis of a single paper can help us understand how language functions, and that we can use this to identify common problems that are likely to have important implications for understanding language as","text_sha256":"e5615820d5ffdc3222cba2b58249615c08a0754199e9a0b9cc313e9a6cd4e60f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1030000-37-technical_explanation-unwatermarked","seed":1031184,"text":"\n\nIn this example, we assume that a program runs in a separate thread and is run by a single process running on the same system. The program is run by a single thread and returns a message. The program then receives a message from one process that is running the program, and returns the other. The message","text_sha256":"69534bc59ef38aa6dcece8c12a4353e46c2e31f8927348dabcd452b46e6660db"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1030000-37-technical_explanation-watermarked","seed":1031184,"text":" Use a single validation check for each of the failures mode and a validation check for each of the validation checks that fail. A validation check that reads the first error from the validation check (the test if any) will then generate a new record that matches the test. The validation check will then look up the first record that","text_sha256":"b1c67b969ac55971b4f41d1b937b515dc114f969abc6d20488e862101cec61a8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1030000-38-conversational_prose-unwatermarked","seed":1031216,"text":" A lot of people don't want to hear that \"letters are what make them interesting.\" The real problem here is that a good mix between both can help you to learn, grow, and stay focused.\n\nWhen you have these same two letters, you'll be able to keep those two letters going.\n\n","text_sha256":"1e52fb4f771d477a6fd2747c1d3c8aeaa99f0f99e1df664d72b0b3249ec301d9"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1030000-38-conversational_prose-watermarked","seed":1031216,"text":" You'll be surprised how easily you can translate the exact words from one topic to another with just a few taps.\n\nI've also found that when working on a project, it's best to write a concise document. One of the best things to do in this type of job is to document things you'd like","text_sha256":"981620446e4d95886360bb1e83df4ef1bd6d69281b5d187461148ef1c01b1bbd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1030000-39-structured_instructional-unwatermarked","seed":1031248,"text":"\n\nWrite a short three-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete. Write a short 3-step instruction for applying letter mix margin replication in an experiment. Use a short sequence of words to describe each step.\n\nWrite a short 3-step","text_sha256":"d2d37ee8ceec9e0a381db9c4ba79c04a4208ea78a8117c9a4cbc1c89c0192bb2"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1030000-39-structured_instructional-watermarked","seed":1031248,"text":" Use a 3-step program to replicate the word, word-like, word-like, word-like, word-like, word-like, word-like.\n\nThe program\n\nThis is a 3-step program for producing the first two letters of each word.\n\nIt uses a \"","text_sha256":"5630ea96b9a4bb8ca5abf5616b202ade2a3e71a0f1be29b88d5c10d3950b0477"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1030000-40-general_explanatory-unwatermarked","seed":1031280,"text":"\n\n4. Use bold to highlight the letter to indicate that the letter is not in fact 'in fact'.\n\n5. Use bold to highlight the letter to indicate that the letter is not in fact 'in fact'.\n\n6. Use bold to highlight the letter to indicate that the letter is not in","text_sha256":"164da7202672840c03c7e9ceaf45edb78763efbc8c51ab13b582f890d802c876"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1030000-40-general_explanatory-watermarked","seed":1031280,"text":" Use a concise way of explaining why each line does not make sense.\n\n(a) In the last paragraph of this paragraph, explain why the word \"match\" is not a valid letter match.\n\n(b) Explain the difference between a match in letters and a match in letters in other words.\n","text_sha256":"6c47222d07329f87e3f4dd537a472450eaf7b511023a5c7c4cdb851f8840e46b"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1030000-41-technical_explanation-unwatermarked","seed":1031312,"text":" The main idea is to get the test data to the point where the test results are indistinguishable from the original. If that fails, you can either validate the results by using the full test data, or use the failure mode that was used before. In this case, we want to get to the point where the test results","text_sha256":"f8e8e0d7ce7b64d4c9f0975d650aefd9d4baea9b60e9ace7203b626e98dae702"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1030000-41-technical_explanation-watermarked","seed":1031312,"text":" Then define the validation check.\n\nA validation check is a test that evaluates the result of a given statement of a particular type.\n\nA validation check is a test that evaluates the result of a given statement of a particular type.\n\nWhen you define a validation check, you are describing the program. You","text_sha256":"23472532133b5e8f481d3cb21bb559e0b3e45edab1dc807dd6dd3823175d9ed4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1030000-42-conversational_prose-unwatermarked","seed":1031344,"text":"\n\nDon't have a clear answer?\n\nHere are some tips on how to get your colleagues to stop talking and start talking back.\n\nMake it clear that your answer is not a question, it is a response. Don't just write it off as an irrelevant footnote. You should do it now,","text_sha256":"9fccafde812d7c428e1ed36ec62f7efa64090fd3583cf37c4e6be4be1c49b5c6"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1030000-42-conversational_prose-watermarked","seed":1031344,"text":" Use a conversational style that is easy to read.\n\nHow to Use Conversational Style to Be an Effective Writer\n\nUse the phrase \"I think it's OK to make a mistake.\"\n\nIt's true that you could get away with using a verb for your mistake, and sometimes you could get away","text_sha256":"619359c658efc8723fa5ecfc6ce1e289b3ecfe4becc0a6cefe22cd1f34107793"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1030000-43-structured_instructional-unwatermarked","seed":1031376,"text":"\n\nStep 1\n\nIn the following step, you are going to copy and paste the following code to the same directory as Step 1:\n\n// Example code for the same experiment in the same folder as Step 1\n\n#include \n\n#include int main() { char *letters = new char[1024]; for (int i = 0; i <","text_sha256":"424c43dab8fd40b0e6843a4526f376fa5965437e0f3d2e41e4b3784358dcb022"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1030000-49-technical_explanation-unwatermarked","seed":1031568,"text":" The major difference is that the replication failure mode is the one that causes your program to fail, and validation check is the one that generates a failure condition, so that the program will never fail again.\n\nHow to Read a Message\n\nThe program is a mess! The message is in fact a file that has","text_sha256":"12c322f37295c2b975deeb8b2e473243b24efc98527edcba86fceaae92a935d7"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1030000-49-technical_explanation-watermarked","seed":1031568,"text":" Set all parameters to 'correct' in the replication protocol.\n\nStep 3: Define how well your data is formatted by the data type. It should be a list of data types, an array of the types specified for each data type, and the format used to format each data type. For example, for","text_sha256":"96c7f939a48f14e8cb15314e87e3677a2062e97f76184e1b0943c35e28a02cb8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1030000-50-conversational_prose-unwatermarked","seed":1031600,"text":"\n\nGet a feel for the writing process and the pacing of your research.\n\nKeep a journal journal for a year.\n\nKeep a notebook for a year.\n\nWrite a book on your research.\n\nWrite a book on your research.\n\nWrite a book on your research.\n\n","text_sha256":"8afe07834c2ee98745399f84a75c100ffc1afd74f759b203955ebf02b48534bf"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1030000-50-conversational_prose-watermarked","seed":1031600,"text":" Use a clear story with lots of facts.\n\n3. Use a good editor.\n\nYou can't write a great script if it's too verbose, so if you're writing an actual script, use it to get feedback. Make sure the script is clear and concise. The best scriptwriters are usually","text_sha256":"58598583c26113d8813767a89ca5fa32b340283645c0722ff781f346ae039115"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1030000-51-structured_instructional-unwatermarked","seed":1031632,"text":"\n\nSOLIDAYS OF A WEEK IN STREAMING\n\nOne of the most common things people ask me about this is how I am doing my job on the Internet. It's a great question to ask and I'm sure you're all familiar with that question. But for this article I wanted to","text_sha256":"66d4c556d9d40824cd1c458a41731e6aaa2ee69a3db126a24d6e02c5b8562c6d"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1030000-51-structured_instructional-watermarked","seed":1031632,"text":" Use a single sentence to describe the results. Write a sentence of your choice and add a bit of emphasis to it. Repeat until the results are clear.\n\nThe best way to teach students about letter mix margin replication is to use a simple 3-step instruction. This is what you'll be doing to apply this","text_sha256":"2c3cc09476f0e300e5a5aa11b250933cacbdd4d35e5c632d933bd2e48eea946d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1030000-52-general_explanatory-unwatermarked","seed":1031664,"text":" Use bold bold italics. Use the same type of letter to match the letter in your work. This will allow you to create a coherent, easy-to-understand sentence.\n\n\nNote: The more letter, the less it will take to explain in simple English. Keep in mind that while you may have","text_sha256":"9b3643948b92d9ee21ccf742529519d82bce14a848cf68a84cd1f0b053ab134c"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1030000-52-general_explanatory-watermarked","seed":1031664,"text":" Use a lot of paragraphs that take up a lot of space, which will be harder to read and remember if you're doing a whole series of papers. Read everything you need to to understand why they work and why.\n\nAnd finally, you need to make sure that there's a solid, clear explanation of why","text_sha256":"00c6a2dffcaabb6f89692a805ec51ef3546d78f6c5200e461b1dd0a3c9a244ec"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1030000-53-technical_explanation-unwatermarked","seed":1031696,"text":" In the first case, it's an error on the record and the problem is a false positive.\n\nIn the second case, it's an error on the record and the problem is a false positive. A single validation check may prove correct. The failure mode is to correct the record by checking the validation to be","text_sha256":"4e914b3d4243228c5a85f1bdf553f60044632a52433a9d9fe5165e63aaecc3b5"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1030000-53-technical_explanation-watermarked","seed":1031696,"text":" In this example, we will use an email client like Gmail or Yahoo or a mobile app like Android.\n\nHere are some examples to illustrate how a large email inbox is a good place to test for errors:\n\nIf you send a \"spam email\", the sender will know it's spam and not think","text_sha256":"5acf19bd4e755dfa285e749f46459a794cffb296a1e6740f39f1df95623abee4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1030000-54-conversational_prose-unwatermarked","seed":1031728,"text":" And use the context of the subject and the subject's perspective to convey the message.\n\nThere are many different ways to express yourself to a non-interactive audience:\n\nUse words that make you feel good and express your emotions.\n\nUse words that bring you out of a trance and get you out","text_sha256":"c3ceec721ac41b970beac59e64a02e4329a8f7357dd845d663db224430300c0f"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1030000-54-conversational_prose-watermarked","seed":1031728,"text":" Use a well-thought-out and concise sentence structure.\n\n5. Understand the significance of an argument with two main parts.\n\nIt can be difficult to decide which part of an argument is important to you. The key to understanding your arguments is understanding what they actually say. If you try to make the","text_sha256":"cc1888523b72448615f2161996968f651a4f51dce52b4812a35155e367878fa2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1030000-55-structured_instructional-unwatermarked","seed":1031760,"text":"\n\nStep 2: Use a simple and concise way of writing sentences with the same letter.\n\nStep 3: Write in the same way you do in an experiment.\n\nStep 4: Read the sentence in the same way you do in an experiment.\n\nStep 5: If you are using a simplified","text_sha256":"37884f68f81d5af8b740d7300ad3ab2435fdd1b2aac1c0cf980765cdc5384875"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1030000-55-structured_instructional-watermarked","seed":1031760,"text":" Use a list of five or six statements that you want to apply as a rule for a rule in the first three steps of the process. The process of applying an instruction is also called a \"line of execution,\" which is in fact a \"line of execution\" for a rule, and the rule is repeated a number","text_sha256":"62980f04899bd2ec9f63bfe2847c9b09f8a878796d8f7b65e6650fe868e4c6fe"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1030000-56-general_explanatory-unwatermarked","seed":1031792,"text":"\n\nLet the author write a long sentence in the following manner:\n\nThe words \"In the early days of mankind, it was common for man to use an alphabetical alphabet, the alphabet of letters, which was called the 'letter-mix,'\" \"it was common for man to change his letters and letters","text_sha256":"63c7a6808b10ea1dac4557572de86f53c8ee4c931e2d2b8e8edb200d9581712b"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1030000-56-general_explanatory-watermarked","seed":1031792,"text":"\n\nLet's say your team writes: \"We're interested in understanding whether there are any similarities between the letter 'r' and the letter 'l' in the letter 'l' format in which the letters are read.\" There's nothing to say that they know. If they didn't, there would be no","text_sha256":"0313eeed597589b32212460875d05698e7323ecef5880d5716263cab8eb11d0f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1030000-57-technical_explanation-unwatermarked","seed":1031824,"text":"\n\nYou can use a similar program in the main laboratory as well.\n\nYou can also use a similar program in the laboratory as well.\n\nIn the main laboratory, you can use an Excel file, and some other information like the time stamps.\n\nIn the main laboratory, you can use an","text_sha256":"d77cc620dbdfac50d23b69b53c8951780fe425f5dd6650b643747ebd788b5c8f"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1030000-57-technical_explanation-watermarked","seed":1031824,"text":" See http://www.jre.org/jre/docs/JRE_Introduction.html.\n\nUse the following code in your test suite to demonstrate the replication of the test data.\n\nimport jre from '~/.jre'\n\nimport io from '~/.jre'","text_sha256":"5b91e83f08076abd1ddc4c2fe8993545bd74c0f9188cb82f34b789ca5cdf5de6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1030000-58-conversational_prose-unwatermarked","seed":1031856,"text":" And then go out of your way to convey the truth of what you're saying.\n\n4. Keep your sentence and the context close to your content. For example, if you're talking about a business, keep your words close to your business-related content and give your audience a chance to get the full experience","text_sha256":"0e7d47ee3d15bc5d1ac024087166fcab1305e659e4dcd375e3f4bce011ba6118"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1030000-58-conversational_prose-watermarked","seed":1031856,"text":" Use a lot of descriptive phrases and use descriptive writing. Avoid using words or phrases that sound familiar to you or you may get the impression that you're not understanding their meaning.\n\n2. Learn how to properly translate your own words.\n\nI've learned to properly translate words using this post.\n\nLearn","text_sha256":"9f095643ef0034e9ef9fba8af8c63b0743e2fc34eeaf00298a80c3731259179f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1030000-59-structured_instructional-unwatermarked","seed":1031888,"text":"\n\nStep 1: Make a note on what to add in the last step:\n\nWrite a short three-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete. Step 2: Make a note on what to add in the last step:\n\nWrite a","text_sha256":"2dcc9b75f3aa7000ffd8306b668ccea904aa6e26b4fbebae6234b4ecdbfa8f0a"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1030000-59-structured_instructional-watermarked","seed":1031888,"text":"\n\nUse a two-step step on a test case for adding word-wrap to a test case.\n\nCreate a test case for applying letter mix margin replication to a test case.\n\nUse a two-step step to apply letter mix margin replication to a test case.\n\nUse the word-","text_sha256":"7f922dbfae55fc626d872183e3080ccb6de43b1b253035c117f5de5bd71a93a6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1030000-60-general_explanatory-unwatermarked","seed":1031920,"text":" Write two or three coherent paragraphs in the same sentence. It's more effective to describe why this is important in your work. In this way, you can build an excellent foundation for your writing and your manuscript.\n\nWhen writing a manuscript you can say, \"I understand where you are. I will try to convey","text_sha256":"149a0eff4222c67e1430da80295e2db35259ffb7eaf68146e5c5210f5b8cbe50"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1030000-60-general_explanatory-watermarked","seed":1031920,"text":" Use a list of words to explain why you need the content. Explain why you need the content.\n\nAvoid repetition. In the past, it was common for authors to leave out paragraphs and sentences, as it was easier to describe and explain the content when needed. The authors who do this often leave out paragraphs and","text_sha256":"18de40e7dee5914508a0082ac62de8ae1e3c6f95157c290c2385c77f595762ca"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1030000-61-technical_explanation-unwatermarked","seed":1031952,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Write a paper describing the results. This will help to make the test better and make the data more consistent.\n\nThis will help to make the test better and make the data more consistent. Write the paper explaining the results. This","text_sha256":"091471e06b049584b4ae91fe156ce2b48bec428864101d78b819442dec323203"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1030000-61-technical_explanation-watermarked","seed":1031952,"text":" You must also define how to handle any failure in case of failure, including failure to produce the correct results.\n\nIf you want to learn more about the importance of writing tests in the software development environment, I highly recommend using the E-Learning Series (e-Learning-Tutorial.pdf).\n\nIf","text_sha256":"74378ca6262d398837fd4591deeb4123669830212c08ebc6f5db2147589f62f2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1030000-62-conversational_prose-unwatermarked","seed":1031984,"text":" It's great for learning how to use the word \"messy,\" but it's a mistake to say that it doesn't matter.\n\nUse natural conversational prose while keeping the explanation precise. It's great for learning how to use the word \"messy,\" but it's a mistake to say that it doesn","text_sha256":"9931d81157661352a50d7b8ff6a63fe4a87ac3d4450196115f27aa672e3927a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1030000-62-conversational_prose-watermarked","seed":1031984,"text":"\n\nA letter-mix margin replication tool is a \"double-edged sword,\" says Kieffer, \"because it reduces the number of documents that can be read in a single sentence.\" It doesn't mean that it's easy or fast, but it's also a good idea.\n\n\"If you really","text_sha256":"34cb2feb66eb67602ff0e275fb0b5138bc4cd61628001ef18c8af6ed778570e2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1030000-63-structured_instructional-unwatermarked","seed":1032016,"text":"\n\nThe following example demonstrates the effect of letter mix margin replication on the spread of letters in two different samples. The first sample is placed on a small display of the font Arial and then printed in a second sample, containing the word Arial, on the same display. The second sample is placed on a display","text_sha256":"ef9bf0de3e19b8e972e58bd615e26cd435499c849d2f1d70cbe65d0ea9394da0"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1030000-63-structured_instructional-watermarked","seed":1032016,"text":"\n\nUse a two-step instruction for applying letter mix margin replication in an experiment. Use complete sentences and keep each step concrete.\n\nUse a two-step instruction for applying letter mix margin replication in an experiment. 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mix margin replication","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-margin-2026-08-26/README.md b/evidence/cycle8-mix-margin-2026-08-26/README.md new file mode 100644 index 00000000..848b42bc --- /dev/null +++ b/evidence/cycle8-mix-margin-2026-08-26/README.md @@ -0,0 +1,75 @@ +# Cycle 8 letter-mix margin scorecard + +Measurement of the development mechanism `u034f-ufe00-letter-alt-v1`. Not confirmation. Not a freeze. Not product authorization. Public CLI remains empty. + +Do not collapse this fresh **0/128** into the letter-x1 system benchmark 0/128 or the experimental letter-x1 0/192. Letter-space on seeds `1000000` and `1010000` remains **1/128**. Do not rewrite that 1/128 as zero. + +Formal confirmation readiness: `NOT_READY`. Closest fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). + +## Scorecard + +| Axis | Result | Label | +| --- | --- | --- | +| Fresh mix raw WM | **0/128** (0/64 + 0/64) | `HYPOTHESIS` | +| Fresh mix raw UW | **0/128** | `HYPOTHESIS` | +| Fresh mix max score | 0.513691 | `HYPOTHESIS` | +| Fresh mix min gap below threshold | 0.043407 | `HYPOTHESIS` | +| Fresh letter-x1 on the same corpora | **0/128**, max 0.527389, gap 0.029709 | `HYPOTHESIS` | +| Letter-x1 system benchmark 980000+990000 | **0/128**, max 0.554066, gap 0.003032 | `HYPOTHESIS` | +| Letter-space spent 1000000+1010000 | **1/128** | `HYPOTHESIS` | +| Fixture visible projection | **3/3** | `VERIFIED` | +| Chromium `pre` / textarea / contenteditable | pixel-equal on measured mix fixtures | `VERIFIED` | +| Frozen sanitizers vs raw mix detections | match | `VERIFIED` | +| Mn-strip / default-ignorable-strip | remove U+034F and U+FE00 | `REJECTED` durability | +| NFC / NFKC / Cf-strip / whitespace-collapse | survive | `VERIFIED` | +| Latin-1 | cannot encode U+034F or U+FE00 | `REJECTED` | +| Max transformed token count | 604 / 1024 | below GPT-2 context | +| Deterministic output | 5/5 identical SHA-256 | `VERIFIED` | + +See `scorecard.json` and `local-system.json` for the machine-readable copy. Detector provenance is in `environment.json`. + +## Fresh detector corpora + +Protocol: identity vs letter-x1 vs letter-alt, frozen sanitizer matrix including NFC, CPU, no CUDA, detector-blind. + +| Seed | Role | Mix raw WM | Letter-x1 raw WM | Identity WM | Mix max | Closest mix gap | +| --- | --- | ---: | ---: | ---: | ---: | ---: | +| 1020000 | primary, reserved before generation | 0/64 | 0/64 | 64/64 | 0.513691 | 0.043407 | +| 1030000 | independent replication | 0/64 | 0/64 | 64/64 | 0.513071 | 0.044027 | +| **Combined** | two independent n=64 corpora | **0/128** | **0/128** | 128/128 | 0.513691 | 0.043407 | + +Closest mix residual geometry only: `cycle8-1020000-29-technical_explanation-watermarked`, 192 insertions, score 0.513691. Residual text was not inspected to write lexical rules. + +Identity unwatermarked on seed `1030000` is 1/64. Mix unwatermarked detections are 0/64 on both corpora. + +Per-domain fresh mix (32 watermarked rows per domain): + +| Domain | detected | max score | +| --- | ---: | ---: | +| conversational_prose | 0/32 | 0.508488 | +| general_explanatory | 0/32 | 0.513071 | +| structured_instructional | 0/32 | 0.509336 | +| technical_explanation | 0/32 | 0.513691 | + +No fresh domain is hidden inside the aggregate. + +## Mechanism + +Detector-blind U+034F / U+FE00 alternating insertions after ASCII letters outside raw unmerged hard machine spans (URLs, email, IPs, dates, currency, percent, numbers, code, paths, CLI flags, markdown destinations). MATH / CITATION / QUOTATION merge-poisoning is not treated as a hard block. 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()`. + +## What beats what + +On the same frozen detector: + +- mix fresh 0/128, max 0.513691, gap 0.043407 +- letter-x1 on those same mix corpora 0/128, max 0.527389, gap 0.029709 +- letter-x1 system benchmark 0/128, max 0.554066, gap 0.003032 +- letter-space spent 1/128 + +Mix is the current strongest product-aligned development result. It is still `HYPOTHESIS`. + +## Ready for formal confirmation? + +No. `NOT_READY`. + +Reasons: only two independent n=64 corpora; the mechanism is not frozen; `950000` is ungenerated; Mn-strip and default-ignorable-strip remove the carriers; this file is a measurement report, not a confirmation protocol. Do not generate `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..9758ae85 --- /dev/null +++ b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,4 @@ +53e474eb0017f4d534a027b7d4ae2e18989cc6cf1fbeeb3edaeade9b97e69ffc README.md +0cc03ffadd4074e3eb255db206bb7e579ca0501f65298e76b96b5ac13aa2b368 environment.json +dcf0f3a5680014a07c447bc71abcfc0b4a1622a7b0523a17b3c345fb9f01ed9c local-system.json +bb7090b48954f0ed62962867f8ebf912f10f81bfd39613f37e78a968f022b2f3 scorecard.json diff --git a/evidence/cycle8-mix-margin-2026-08-26/environment.json b/evidence/cycle8-mix-margin-2026-08-26/environment.json new file mode 100644 index 00000000..00607624 --- /dev/null +++ b/evidence/cycle8-mix-margin-2026-08-26/environment.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-margin-scorecard-v1","benchmark_arm_ids":["identity","u034f-letter-x1","u034f-ufe00-letter-alt-v1"],"comparison":"score >= threshold","cpu_count":4,"environment_hash":"bc44a83d38e51cb08035dbb8788b9e7679112d35ffea648b92facf8c827fe518","fpr_assumption":"frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold 0.5570987654320988","hostname":"cursor","letter_quote_policy_id":"quote-visible-carrier-v1","model":"openai-community/gpt2","model_revision":"607a30d783dfa663caf39e06633721c8d4cfcd7e","platform":"Linux-6.12.94+-x86_64-with-glibc2.39","processor":"x86_64","python":"3.12.3","release_cli_algorithm_version":"release-cli-v4","release_registry_empty":true,"threshold":0.5570987654320988,"tiktoken":"0.14.0","torch":"2.13.0+cpu","torch_cuda":false} diff --git a/evidence/cycle8-mix-margin-2026-08-26/local-system.json b/evidence/cycle8-mix-margin-2026-08-26/local-system.json new file mode 100644 index 00000000..5b3e0ce6 --- /dev/null +++ b/evidence/cycle8-mix-margin-2026-08-26/local-system.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-margin-scorecard-v1","artifact_hash":"610213797ced9bfac13b7ffda4a36f873b3bce366c201a199f5691b6c2f2062d","cli_identity":true,"cli_preserves_transformed":true,"determinism":{"deterministic":true,"output_sha256":"5c0409ead4bf62c9ba0e3a5f82b98cba18bc36ae6c85edad380f1e0d3f018ef5","repeats":5,"unique_hashes":1},"mechanism_id":"u034f-ufe00-letter-alt-v1","projected_equals_source":true,"release_registry_empty":true,"rendering":[{"fixture_id":"short_paragraph","render":{"chromium_contenteditable":{"algorithm_version":"cycle8-benchmark-render-v1","comparison_hash":"2eeae6a12dd9f0c56ee0baf292b45b87916fc7aba680194c3eb42fc00e3c9b13","detail":"png_bytes_equal","environment":"chromium_contenteditable","equal":true,"original_sha256":"3067cc798b2263d2f6c31afb17b24bb0f421aa505d406145b423e681d6a037fe","status":"VERIFIED","transformed_sha256":"5c0409ead4bf62c9ba0e3a5f82b98cba18bc36ae6c85edad380f1e0d3f018ef5"},"chromium_pre":{"algorithm_version":"product-reference-render-v1","comparison_hash":"01effc4e6f74a65480d792c17185b1e050561eb64cef32d077e51f62e8f74f3d","detail":"png_bytes_equal","environment":"chromium_headless","equal":true,"original_sha256":"3067cc798b2263d2f6c31afb17b24bb0f421aa505d406145b423e681d6a037fe","status":"VERIFIED","transformed_sha256":"5c0409ead4bf62c9ba0e3a5f82b98cba18bc36ae6c85edad380f1e0d3f018ef5"},"chromium_textarea":{"algorithm_version":"cycle8-benchmark-render-v1","comparison_hash":"657d5f5353e198406f397424d4ccf6de9c02d9b203e82cfbb31c7e9834daa1e7","detail":"png_bytes_equal","environment":"chromium_textarea","equal":true,"original_sha256":"3067cc798b2263d2f6c31afb17b24bb0f421aa505d406145b423e681d6a037fe","status":"VERIFIED","transformed_sha256":"5c0409ead4bf62c9ba0e3a5f82b98cba18bc36ae6c85edad380f1e0d3f018ef5"},"terminal_display_width":{"equal":true,"status":"VERIFIED"},"terminal_pixels":{"detail":"terminal pixel capture is not instrumented","status":"UNKNOWN"},"webkit_safari":{"detail":"Safari is not available on this Linux host","status":"UNKNOWN"}}},{"fixture_id":"quote_heavy","render":{"chromium_contenteditable":{"detail":"not measured on this fixture","status":"UNKNOWN"},"chromium_pre":{"algorithm_version":"product-reference-render-v1","comparison_hash":"26d7a446cc90ad894f91ccbae61fdbb926648a10ff92352d025775b2c0f9bfc7","detail":"png_bytes_equal","environment":"chromium_headless","equal":true,"original_sha256":"e8c8babd2262699ba377a2f0e7490e8f83377fc67c919fd48376ada976c39085","status":"VERIFIED","transformed_sha256":"74db05825e507e7787b0583e7433a2ce15bbc8e517e66f9fb2eb16321751f150"},"chromium_textarea":{"detail":"not measured on this fixture","status":"UNKNOWN"},"terminal_display_width":{"equal":true,"status":"VERIFIED"},"terminal_pixels":{"detail":"terminal pixel capture is not instrumented","status":"UNKNOWN"},"webkit_safari":{"detail":"Safari is not available on this Linux 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host","status":"UNKNOWN"}}}],"roundtrips":{"cf_strip":true,"latin1":false,"nfc":true,"nfkc":true,"utf8_in_memory":true,"ws_collapse":true},"stress":{"default_ignorable_strip_removes_carrier":true,"mn_strip_removes_carrier":true},"visible_pass":3,"visible_pass_rate":"3/3","visible_total":3} diff --git a/evidence/cycle8-mix-margin-2026-08-26/scorecard.json b/evidence/cycle8-mix-margin-2026-08-26/scorecard.json new file mode 100644 index 00000000..e8124fc8 --- /dev/null +++ b/evidence/cycle8-mix-margin-2026-08-26/scorecard.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-margin-scorecard-v1","confirmation":false,"decision":"PROMISING_DEVELOPMENT","durability":{"frozen_sanitizers_match_raw_on_fresh_mix":true,"roundtrips":{"cf_strip":true,"latin1":false,"nfc":true,"nfkc":true,"utf8_in_memory":true,"ws_collapse":true},"stress":{"default_ignorable_strip_removes_carrier":true,"mn_strip_removes_carrier":true}},"effectiveness":{"fresh_letter_x1_same_corpora":{"label":"HYPOTHESIS","max_score":0.5273892773892774,"min_gap_below_threshold":0.029709488042821364,"pairs":128,"rate":"0/128","raw_watermarked_detected":0},"fresh_mix":{"1020000":{"artifact_hash":"2538c614a73bed360cdeebdaa60c0fa36ad34cf6995c76a120d49bd1da063ce2","cap_bind_watermarked":56,"closest":{"detected":false,"domain":"technical_explanation","gap_below_threshold":0.043407305377002436,"inserted_count":192,"sample_id":"cycle8-1020000-29-technical_explanation-watermarked","score":0.5136914600550964},"domains":[{"domain":"conversational_prose","max":0.508488392698919,"raw_detected":0,"watermarked_n":16},{"domain":"general_explanatory","max":0.5095959595959596,"raw_detected":0,"watermarked_n":16},{"domain":"structured_instructional","max":0.5064704281875999,"raw_detected":0,"watermarked_n":16},{"domain":"technical_explanation","max":0.5136914600550964,"raw_detected":0,"watermarked_n":16}],"inserted_count_mean":187.671875,"max":0.5136914600550964,"max_gap_below_threshold":0.043407305377002436,"mean":0.4947366048937031,"median":0.4939155867910458,"min":0.4744497375501742,"pair_count":64,"pristine_watermarked_detected":64,"raw_unwatermarked_detected":0,"raw_watermarked_detected":0,"sanitizers":{"cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"nfc":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"nfkc":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"nfkc_cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"raw":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"ws_collapse":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0},"ws_collapse_nfkc_cf_strip":{"equals_source_rate":"0/128","equals_transformed_rate":"128/128","unwatermarked_detected":0,"watermarked_detected":0}},"seed_base":1020000,"token_count_delta_mean":519.3125,"topic":"letter 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mix margin replication","transformed_token_count_max":604,"utf8_overhead_mean":464.5703125,"visible_pass":"128/128"},"domains":[{"domain":"conversational_prose","max":0.508488392698919,"raw_detected":0,"watermarked_n":32},{"domain":"general_explanatory","max":0.5130713610929437,"raw_detected":0,"watermarked_n":32},{"domain":"structured_instructional","max":0.509336031323002,"raw_detected":0,"watermarked_n":32},{"domain":"technical_explanation","max":0.5136914600550964,"raw_detected":0,"watermarked_n":32}],"label":"HYPOTHESIS","max_score":0.5136914600550964,"min_gap_below_threshold":0.043407305377002436,"pairs":128,"rate":"0/128","raw_unwatermarked_detected":0,"raw_watermarked_detected":0},"letter_space_spent":{"detail":"seeds 1000000 and 1010000 remain 1/128 and are not rewritten as zero","label":"HYPOTHESIS","rate":"1/128"},"letter_x1_system_benchmark":{"detail":"seeds 980000 and 990000 remain the letter-x1 system benchmark","label":"HYPOTHESIS","max_score":0.5540663040663041,"min_gap_below_threshold":0.003032461365794714,"rate":"0/128"}},"efficiency":{"fresh_cap_bind_watermarked":108,"fresh_inserted_count_mean":186.7578125,"fresh_token_count_delta_mean":516.60546875,"fresh_transformed_token_count_max":607,"fresh_utf8_overhead_mean":466.86328125,"letter_cap":192},"environment_hash":"bc44a83d38e51cb08035dbb8788b9e7679112d35ffea648b92facf8c827fe518","evidence_label":"HYPOTHESIS","formal_confirmation_readiness":{"label":"NOT_READY","ready":false,"reasons":["fresh mix 0/128 is development evidence, not a preregistered confirmation protocol","only two independent n=64 corpora have been scored for this mechanism","letter-alt is not frozen and is not in release_transform_registry()","seed 950000 remains ungenerated","Mn-strip removes U+034F and selected default-ignorable stripping removes the mix carriers","this scorecard is measurement, not confirmation"]},"freeze":false,"local_artifact_hash":"610213797ced9bfac13b7ffda4a36f873b3bce366c201a199f5691b6c2f2062d","mechanism_id":"u034f-ufe00-letter-alt-v1","product_authorized":false,"release_registry_empty":true,"reproducibility":{"determinism_unique_hashes":1,"deterministic_output":true,"fresh_independent_corpora":2,"fresh_mix_zero_on_both_corpora":true},"scorecard_hash":"cf5db6055bde17ac75a9075406513cd1ddf83eb0b7da70bb4d8a48c07bd82b76","threshold":0.5570987654320988,"visibility":{"cli_identity":true,"fixture_pass_rate":"3/3","label":"VERIFIED","projected_equals_source":true,"rendering":{"chromium_contenteditable":"VERIFIED","chromium_pre":"VERIFIED","chromium_textarea":"VERIFIED","rows":[{"chromium_contenteditable":"VERIFIED","chromium_pre":"VERIFIED","chromium_textarea":"VERIFIED","fixture_id":"short_paragraph","terminal_display_width":"VERIFIED","terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"},{"chromium_contenteditable":"UNKNOWN","chromium_pre":"VERIFIED","chromium_textarea":"UNKNOWN","fixture_id":"quote_heavy","terminal_display_width":"VERIFIED","terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"},{"chromium_contenteditable":"UNKNOWN","chromium_pre":"VERIFIED","chromium_textarea":"UNKNOWN","fixture_id":"machine_url","terminal_display_width":"VERIFIED","terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"}],"terminal_pixels":"UNKNOWN","webkit_safari":"UNKNOWN"}},"weaknesses":["Mn-strip removes U+034F","default-ignorable-strip removes U+034F and U+FE00","latin-1 cannot roundtrip U+034F or U+FE00","ordinary vim save may append a trailing newline","selected-site cap 192 still binds on long rows","token expansion remains large","Safari/WebKit rendering is UNKNOWN on this Linux host","terminal pixel equality is UNKNOWN"]} diff --git a/fuckmark/cycle8/__init__.py b/fuckmark/cycle8/__init__.py index 14c701d9..e27dd7c5 100644 --- a/fuckmark/cycle8/__init__.py +++ b/fuckmark/cycle8/__init__.py @@ -18,12 +18,17 @@ run_fixture_compare, ) from .decision import CYCLE8_DECISION_VERSION, classify_fixture_compare +from .letter_mix import apply_letter_alternating_mix, select_letter_mix_sites from .registry import ( apply_all_candidates, + apply_letter_payload_boost, + apply_letter_space_scheduled, cycle8_combined_carrier_registry, cycle8_letter_carrier_registry, + cycle8_letter_space_carrier_registry, cycle8_space_carrier_registry, cycle8_space_wordfinal_carrier_registry, + letter_payload_repeats, ) 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 @@ -53,6 +58,9 @@ "ProductGate", "UNICODE_PROPERTY_SCAN_VERSION", "apply_all_candidates", + "apply_letter_alternating_mix", + "apply_letter_payload_boost", + "apply_letter_space_scheduled", "assert_cycle8_development_seed", "audit_codepoints", "classify_carrier_hypothesis", @@ -60,6 +68,8 @@ "codepoint_properties", "cycle8_combined_carrier_registry", "cycle8_letter_carrier_registry", + "cycle8_letter_space_carrier_registry", + "letter_payload_repeats", "cycle8_seed_ledger_hash", "cycle8_seed_ledger_payload", "cycle8_space_carrier_registry", @@ -71,4 +81,5 @@ "product_scoreboard_payload", "run_fixture_compare", "screen_carrier_tokenizer", + "select_letter_mix_sites", ] diff --git a/fuckmark/cycle8/compare.py b/fuckmark/cycle8/compare.py index 04f896a2..4832afcb 100644 --- a/fuckmark/cycle8/compare.py +++ b/fuckmark/cycle8/compare.py @@ -8,10 +8,19 @@ from ..product.registry import product_transform_registry from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1 from ..transforms.schema import CandidateRejectionReason +from .letter_mix import ( + LETTER_MIX_APPROVED_CARRIERS, + apply_letter_alternating_mix, + letter_mix_protected_blocked_count, + select_letter_mix_sites, +) from .registry import ( + apply_letter_space_scheduled, cycle8_letter_carrier_registry, + cycle8_letter_space_carrier_registry, cycle8_space_carrier_registry, cycle8_space_wordfinal_carrier_registry, + letter_payload_repeats, select_nonoverlapping_candidate_ids, ) from .tokenizer_screen import GPT2_FIXTURE, resynchronization_metrics @@ -25,6 +34,15 @@ CYCLE8_UFE00_SPACE_ARM_ID = "ufe00-space-x1" CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID = "u034f-space-wordfinal-x1" CYCLE8_U034F_LETTER_ARM_ID = "u034f-letter-x1" +CYCLE8_U034F_LETTER_X2_ARM_ID = "u034f-letter-x2" +CYCLE8_U034F_LETTER_X4_ARM_ID = "u034f-letter-x4" +CYCLE8_U034F_LETTER_BOOST_ARM_ID = "u034f-letter-boost-v1" +CYCLE8_U034F_LETTER_SCHEDULE_SPACE_ARM_ID = "u034f-letter-schedule-space-v1" +CYCLE8_U034F_LETTER_SPACE_ARM_ID = "u034f-letter-space-x1" +CYCLE8_UFE00_LETTER_ARM_ID = "ufe00-letter-x1" +CYCLE8_UFE00_LETTER_X2_ARM_ID = "ufe00-letter-x2" +CYCLE8_UFE00_LETTER_SPACE_ARM_ID = "ufe00-letter-space-x1" +CYCLE8_LETTER_ALT_ARM_ID = "u034f-ufe00-letter-alt-v1" CYCLE8_DETECTOR_ARM_IDS = ( CYCLE8_IDENTITY_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, @@ -49,6 +67,16 @@ CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_LETTER_ARM_ID, ) +CYCLE8_MARGIN_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_U034F_LETTER_SPACE_ARM_ID, +) +CYCLE8_MIX_ARM_IDS = ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_LETTER_ALT_ARM_ID, +) CYCLE8_FIXTURE_ARM_IDS = ( *CYCLE8_DETECTOR_ARM_IDS, CYCLE8_UFE00_SPACE_ARM_ID, @@ -62,6 +90,15 @@ CYCLE8_UFE00_SPACE_ARM_ID: (0xFE00, 1), CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: (0x034F, 1), CYCLE8_U034F_LETTER_ARM_ID: (0x034F, 1), + CYCLE8_U034F_LETTER_X2_ARM_ID: (0x034F, 2), + CYCLE8_U034F_LETTER_X4_ARM_ID: (0x034F, 4), + CYCLE8_U034F_LETTER_BOOST_ARM_ID: (0x034F, 1), + CYCLE8_U034F_LETTER_SCHEDULE_SPACE_ARM_ID: (0x034F, 1), + CYCLE8_U034F_LETTER_SPACE_ARM_ID: (0x034F, 1), + CYCLE8_UFE00_LETTER_ARM_ID: (0xFE00, 1), + CYCLE8_UFE00_LETTER_X2_ARM_ID: (0xFE00, 2), + CYCLE8_UFE00_LETTER_SPACE_ARM_ID: (0xFE00, 1), + CYCLE8_LETTER_ALT_ARM_ID: (0x034F, 1), } @@ -75,17 +112,41 @@ def cycle8_fixture_samples() -> tuple[tuple[str, str], ...]: def arm_approved_carriers(arm_id: str) -> tuple[int, ...]: + if arm_id == CYCLE8_LETTER_ALT_ARM_ID: + return LETTER_MIX_APPROVED_CARRIERS spec = _ARM_SPEC[arm_id] if spec is None: return () return (spec[0],) -def arm_registry(arm_id: str): +def arm_registry(arm_id: str, source_text: str | None = None): if arm_id == CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID: return cycle8_space_wordfinal_carrier_registry(0x034F) if arm_id == CYCLE8_U034F_LETTER_ARM_ID: return cycle8_letter_carrier_registry(0x034F) + if arm_id == CYCLE8_U034F_LETTER_X2_ARM_ID: + return cycle8_letter_carrier_registry(0x034F, repeats=2) + if arm_id == CYCLE8_U034F_LETTER_X4_ARM_ID: + return cycle8_letter_carrier_registry(0x034F, repeats=4) + if arm_id == CYCLE8_UFE00_LETTER_ARM_ID: + return cycle8_letter_carrier_registry(0xFE00) + if arm_id == CYCLE8_UFE00_LETTER_X2_ARM_ID: + return cycle8_letter_carrier_registry(0xFE00, repeats=2) + if arm_id == CYCLE8_U034F_LETTER_SPACE_ARM_ID: + return cycle8_letter_space_carrier_registry(0x034F) + if arm_id == CYCLE8_UFE00_LETTER_SPACE_ARM_ID: + return cycle8_letter_space_carrier_registry(0xFE00) + if arm_id == CYCLE8_U034F_LETTER_BOOST_ARM_ID: + base = cycle8_letter_carrier_registry(0x034F) + if source_text is None: + return base + enumeration = base.enumerate(source_text) + selected = select_nonoverlapping_candidate_ids(enumeration, registry=base) + repeats = letter_payload_repeats(len(selected)) + return cycle8_letter_carrier_registry(0x034F, repeats=repeats) + if arm_id == CYCLE8_LETTER_ALT_ARM_ID: + return cycle8_letter_carrier_registry(0x034F) spec = _ARM_SPEC[arm_id] if spec is None: return product_transform_registry() @@ -106,22 +167,46 @@ def measure_carrier_arm( raise ValueError("source_sample_id must be a non-empty string") if not isinstance(source_text, str): raise TypeError("source_text must be a string") - registry = arm_registry(arm_id) + registry = arm_registry(arm_id, source_text) approved = arm_approved_carriers(arm_id) - enumeration = registry.enumerate(source_text) - selected = select_nonoverlapping_candidate_ids(enumeration, registry=registry) fail_closed_identity = False - transformed = source_text - if selected: - try: - transformed = registry.apply(enumeration, selected).output_text - except ValueError: - transformed = source_text - selected = () + mix_protected_blocked = None + if arm_id == CYCLE8_LETTER_ALT_ARM_ID: + sites = select_letter_mix_sites(source_text) + transformed = apply_letter_alternating_mix(source_text) + selected = tuple(f"letter-mix-{index}" for index in sites) + mix_protected_blocked = letter_mix_protected_blocked_count(source_text) + + class _MixEnumeration: + candidates = () + rejections = () + + enumeration = _MixEnumeration() + if sites and transformed == source_text: + fail_closed_identity = True + elif arm_id == CYCLE8_U034F_LETTER_SCHEDULE_SPACE_ARM_ID: + transformed = apply_letter_space_scheduled(source_text) + letter_registry = cycle8_letter_carrier_registry(0x034F) + enumeration = letter_registry.enumerate(source_text) + selected = select_nonoverlapping_candidate_ids(enumeration, registry=letter_registry) + if selected and transformed == source_text: fail_closed_identity = True + else: + enumeration = registry.enumerate(source_text) + selected = select_nonoverlapping_candidate_ids(enumeration, registry=registry) + transformed = source_text + if selected: + try: + transformed = registry.apply(enumeration, selected).output_text + except ValueError: + transformed = source_text + selected = () + fail_closed_identity = True visible_ok = is_carrier_insertion_v1(source_text, transformed, approved) - carrier = chr(approved[0]) if approved else "" - inserted = transformed.count(carrier) - source_text.count(carrier) if carrier else 0 + inserted = 0 + for codepoint in approved: + carrier = chr(codepoint) + inserted += transformed.count(carrier) - source_text.count(carrier) sanitizers = {} for variant in CYCLE7_SANITIZER_VARIANT_IDS: sanitized = sanitize_cycle7_variant(variant, transformed) @@ -143,13 +228,19 @@ def measure_carrier_arm( invariant_blocked = sum( 1 for rejection in enumeration.rejections if rejection.reason is CandidateRejectionReason.HARD_INVARIANT_FAILED ) + candidate_count = len(enumeration.candidates) + if mix_protected_blocked is not None: + quote_blocked = 0 + protected_blocked = mix_protected_blocked + invariant_blocked = 0 + candidate_count = len(selected) + mix_protected_blocked return { "arm_id": arm_id, "source_sample_id": source_sample_id, "source_text_hash": sha256_text(source_text), "transformed_text": transformed, "transformed_text_hash": sha256_text(transformed), - "candidate_count": len(enumeration.candidates), + "candidate_count": candidate_count, "selected_count": len(selected), "inserted_count": inserted, "utf8_overhead": len(transformed.encode("utf-8")) - len(source_text.encode("utf-8")), diff --git a/fuckmark/cycle8/decision.py b/fuckmark/cycle8/decision.py index 87a3a964..410c2518 100644 --- a/fuckmark/cycle8/decision.py +++ b/fuckmark/cycle8/decision.py @@ -4,10 +4,12 @@ from .compare import ( CYCLE8_IDENTITY_ARM_ID, + CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID, CYCLE8_U034F_SPACE_RUN_ARM_ID, CYCLE8_U034F_SPACE_WORDFINAL_ARM_ID, CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_U034F_LETTER_SPACE_ARM_ID, CYCLE8_U200C_SPACE_ARM_ID, CYCLE8_UFE00_SPACE_ARM_ID, ) @@ -167,6 +169,10 @@ def classify_scale_detector_compare( arm_label = "U+034F space-wordfinal x1" elif transformed_arm_id == CYCLE8_U034F_LETTER_ARM_ID: arm_label = "U+034F letter x1" + elif transformed_arm_id == CYCLE8_U034F_LETTER_SPACE_ARM_ID: + arm_label = "U+034F letter-space x1" + elif transformed_arm_id == CYCLE8_LETTER_ALT_ARM_ID: + arm_label = "U+034F/U+FE00 letter-alt v1" else: arm_label = transformed_arm_id visible_total = int(u034f["visible_total_count"]) diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 5b4726dd..3c79bb76 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -11,6 +11,14 @@ CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + CYCLE8_MARGIN_PRIMARY_SEED_BASE, + CYCLE8_MARGIN_PRIMARY_TOPIC, + CYCLE8_MARGIN_REPLICATION_SEED_BASE, + CYCLE8_MARGIN_REPLICATION_TOPIC, + CYCLE8_MIX_PRIMARY_SEED_BASE, + CYCLE8_MIX_PRIMARY_TOPIC, + CYCLE8_MIX_REPLICATION_SEED_BASE, + CYCLE8_MIX_REPLICATION_TOPIC, CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, @@ -34,6 +42,10 @@ CYCLE8_LETTER_EXPLORATORY_ROLE = "letter_exploratory_development" CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE = "letter_benchmark_primary" CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE = "letter_benchmark_replication" +CYCLE8_MARGIN_PRIMARY_ROLE = "margin_robustness_primary" +CYCLE8_MARGIN_REPLICATION_ROLE = "margin_robustness_replication" +CYCLE8_MIX_PRIMARY_ROLE = "mix_margin_primary" +CYCLE8_MIX_REPLICATION_ROLE = "mix_margin_replication" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -50,6 +62,10 @@ CYCLE8_LETTER_EXPLORATORY_SEED_BASES = (CYCLE8_LETTER_EXPLORATORY_SEED_BASE,) CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASES = (CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE,) CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES = (CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE,) +CYCLE8_MARGIN_PRIMARY_SEED_BASES = (CYCLE8_MARGIN_PRIMARY_SEED_BASE,) +CYCLE8_MARGIN_REPLICATION_SEED_BASES = (CYCLE8_MARGIN_REPLICATION_SEED_BASE,) +CYCLE8_MIX_PRIMARY_SEED_BASES = (CYCLE8_MIX_PRIMARY_SEED_BASE,) +CYCLE8_MIX_REPLICATION_SEED_BASES = (CYCLE8_MIX_REPLICATION_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" @@ -113,6 +129,14 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "letter_benchmark_primary_topic": CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, "letter_benchmark_replication_seed_base": CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, "letter_benchmark_replication_topic": CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + "margin_primary_seed_base": CYCLE8_MARGIN_PRIMARY_SEED_BASE, + "margin_primary_topic": CYCLE8_MARGIN_PRIMARY_TOPIC, + "margin_replication_seed_base": CYCLE8_MARGIN_REPLICATION_SEED_BASE, + "margin_replication_topic": CYCLE8_MARGIN_REPLICATION_TOPIC, + "mix_primary_seed_base": CYCLE8_MIX_PRIMARY_SEED_BASE, + "mix_primary_topic": CYCLE8_MIX_PRIMARY_TOPIC, + "mix_replication_seed_base": CYCLE8_MIX_REPLICATION_SEED_BASE, + "mix_replication_topic": CYCLE8_MIX_REPLICATION_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), @@ -131,7 +155,13 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "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. Do not retune on Cycle 6 formal residuals." + "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. Do not " + "retune on Cycle 6 formal residuals." ), } @@ -162,6 +192,14 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE if seed_base in CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES: return CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE + if seed_base in CYCLE8_MARGIN_PRIMARY_SEED_BASES: + return CYCLE8_MARGIN_PRIMARY_ROLE + if seed_base in CYCLE8_MARGIN_REPLICATION_SEED_BASES: + return CYCLE8_MARGIN_REPLICATION_ROLE + if seed_base in CYCLE8_MIX_PRIMARY_SEED_BASES: + return CYCLE8_MIX_PRIMARY_ROLE + if seed_base in CYCLE8_MIX_REPLICATION_SEED_BASES: + return CYCLE8_MIX_REPLICATION_ROLE if seed_base in CYCLE8_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -196,5 +234,9 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_LETTER_EXPLORATORY_ROLE: CYCLE8_LETTER_EXPLORATORY_SEED_BASES, CYCLE8_LETTER_BENCHMARK_PRIMARY_ROLE: CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASES, CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE: CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASES, + CYCLE8_MARGIN_PRIMARY_ROLE: CYCLE8_MARGIN_PRIMARY_SEED_BASES, + CYCLE8_MARGIN_REPLICATION_ROLE: CYCLE8_MARGIN_REPLICATION_SEED_BASES, + CYCLE8_MIX_PRIMARY_ROLE: CYCLE8_MIX_PRIMARY_SEED_BASES, + CYCLE8_MIX_REPLICATION_ROLE: CYCLE8_MIX_REPLICATION_SEED_BASES, CYCLE8_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8/letter_mix.py b/fuckmark/cycle8/letter_mix.py new file mode 100644 index 00000000..577d884e --- /dev/null +++ b/fuckmark/cycle8/letter_mix.py @@ -0,0 +1,149 @@ +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.protected import _add_valid_markdown_destinations +from ..transforms.protected_patterns import ( + _CLI_FLAG_RE, + _CURRENCY_RE, + _EMAIL_RE, + _NUMBER_RE, + _PERCENT_RE, + _add_dates, + _add_ip_addresses, + _add_regex, + _add_urls, +) +from ..transforms.protected_structures import ( + _add_extended_posix_paths, + _add_extended_windows_paths, + _add_fenced_code, + _add_inline_code, + _add_posix_paths, + _add_windows_paths, +) +from ..transforms.schema import InvariantStatus, ProtectedSpanKind + +LETTER_MIX_APPROVED_CARRIERS = (0x034F, 0xFE00) +LETTER_MIX_PAYLOADS = ("\u034f", "\ufe00") +LETTER_MIX_MAX_SELECTED = 192 + + +def hard_machine_intervals(text: str) -> tuple[tuple[int, int], ...]: + if not isinstance(text, str): + raise TypeError("text must be a string") + raw: list[tuple[int, int, ProtectedSpanKind]] = [] + _add_fenced_code(raw, text) + _add_inline_code(raw, text) + _add_valid_markdown_destinations(raw, text) + _add_urls(raw, text) + _add_regex(raw, text, _EMAIL_RE, ProtectedSpanKind.EMAIL) + _add_ip_addresses(raw, text) + _add_dates(raw, text) + _add_regex(raw, text, _CURRENCY_RE, ProtectedSpanKind.CURRENCY) + _add_regex(raw, text, _PERCENT_RE, ProtectedSpanKind.PERCENTAGE) + _add_regex(raw, text, _NUMBER_RE, ProtectedSpanKind.NUMBER) + _add_posix_paths(raw, text) + _add_extended_posix_paths(raw, text) + _add_windows_paths(raw, text) + _add_extended_windows_paths(raw, text) + _add_regex(raw, text, _CLI_FLAG_RE, ProtectedSpanKind.CLI_FLAG) + ordered = sorted((start, end) for start, end, _kind in raw) + merged: list[list[int]] = [] + for start, end in ordered: + if not merged or start > merged[-1][1]: + merged.append([start, end]) + continue + merged[-1][1] = max(merged[-1][1], end) + return tuple((start, end) for start, end in merged) + + +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_letter_mix_sites( + text: str, + *, + max_selected: int | None = LETTER_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 = LETTER_MIX_PAYLOADS[len(sites) % 2] + trial = text[: index + 1] + payload + text[index + 1 :] + if not is_carrier_insertion_v1(text, trial, LETTER_MIX_APPROVED_CARRIERS): + continue + if project_visible_v1(trial, LETTER_MIX_APPROVED_CARRIERS) != text: + continue + report = validate_user_visible_invariants(text, trial, LETTER_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_letter_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("letter 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("letter mix site is outside the source") + chunks.append(text[cursor : index + 1]) + chunks.append(LETTER_MIX_PAYLOADS[order % 2]) + cursor = index + 1 + chunks.append(text[cursor:]) + output = "".join(chunks) + if project_visible_v1(output, LETTER_MIX_APPROVED_CARRIERS) != text: + raise RuntimeError("letter mix changed the visible projection") + if not is_carrier_insertion_v1(text, output, LETTER_MIX_APPROVED_CARRIERS): + raise RuntimeError("letter mix is not a carrier insertion") + report = validate_user_visible_invariants(text, output, LETTER_MIX_APPROVED_CARRIERS) + if report.status is not InvariantStatus.PASS: + raise RuntimeError("letter 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("letter mix mutated a hard machine span") + return output + + +def apply_letter_alternating_mix( + text: str, + *, + max_selected: int | None = LETTER_MIX_MAX_SELECTED, +) -> str: + return compose_letter_mix(text, select_letter_mix_sites(text, max_selected=max_selected)) + + +def letter_mix_protected_blocked_count(text: str) -> int: + if not isinstance(text, str): + raise TypeError("text must be a string") + blocked = hard_machine_intervals(text) + return sum( + 1 + for index, character in enumerate(text) + if character.isascii() and character.isalpha() and _index_blocked(index, blocked) + ) diff --git a/fuckmark/cycle8/mix_report.py b/fuckmark/cycle8/mix_report.py new file mode 100644 index 00000000..874535bb --- /dev/null +++ b/fuckmark/cycle8/mix_report.py @@ -0,0 +1,333 @@ +from __future__ import annotations + +import json +from pathlib import Path + +from ..cli import process_text +from ..cycle7.whitespace_collapse import collapse_horizontal_ascii_whitespace +from ..hashing import sha256_json, sha256_text +from ..product.roundtrip import nfc_normalize +from ..product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from ..sanitizer_robustness import nfkc_normalize, strip_unicode_format_characters +from ..transforms.registry import release_transform_registry +from .benchmark import ( + CYCLE6_THRESHOLD, + enrich_detector_artifact, + environment_payload, + run_rendering, + strip_default_ignorable, + strip_nonspacing_marks, +) +from .compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_MIX_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID +from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix + + +CYCLE8_MIX_SCORECARD_VERSION = "cycle8-mix-margin-scorecard-v1" +_PRIMARY = Path("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json") +_REPLICA = Path("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json") +_RENDER_FIXTURES = ( + ("short_paragraph", "I do not agree.", True), + ("quote_heavy", 'He answered, "They are not finished and we do not agree." Then he left.', False), + ("machine_url", "See https://example.com/do-not-touch and continue the notes.", False), +) + + +def _load(path: Path) -> dict[str, object]: + return json.loads(path.read_text(encoding="utf-8")) + + +def _compact(row: dict[str, object]) -> dict[str, object]: + scores = row["raw_watermarked_scores"] + return { + "seed_base": row["seed_base"], + "pair_count": row["pair_count"], + "topic": row.get("topic"), + "artifact_hash": row.get("artifact_hash"), + "raw_watermarked_detected": row["raw_watermarked_detected"], + "raw_unwatermarked_detected": row["raw_unwatermarked_detected"], + "pristine_watermarked_detected": row["pristine_watermarked_detected"], + "visible_pass": f"{row['visible_pass']}/{row['visible_total']}", + "mean": scores["mean"], + "median": scores["median"], + "min": scores["min"], + "max": scores["max"], + "max_gap_below_threshold": scores["max_gap_below_threshold"], + "closest": row.get("closest_watermarked_row"), + "inserted_count_mean": row["inserted_count_mean"], + "utf8_overhead_mean": row["utf8_overhead_mean"], + "token_count_delta_mean": row.get("token_count_delta_mean"), + "transformed_token_count_max": row.get("transformed_token_count_max"), + "cap_bind_watermarked": row.get("cap_bind_watermarked"), + "domains": [ + { + "domain": item["domain"], + "watermarked_n": item["watermarked_n"], + "raw_detected": item["raw_detected"], + "max": item["scores"]["max"], + } + for item in row.get("domains") or () + ], + "sanitizers": row.get("sanitizers"), + } + + +def _merge_domains(rows: list[dict[str, object]]) -> list[dict[str, object]]: + buckets: dict[str, dict[str, object]] = {} + for row in rows: + for item in row.get("domains") or (): + domain = str(item["domain"]) + bucket = buckets.setdefault( + domain, + {"domain": domain, "watermarked_n": 0, "raw_detected": 0, "max": None}, + ) + bucket["watermarked_n"] = int(bucket["watermarked_n"]) + int(item["watermarked_n"]) + bucket["raw_detected"] = int(bucket["raw_detected"]) + int(item["raw_detected"]) + maximum = item["scores"]["max"] + if maximum is not None: + previous = bucket["max"] + bucket["max"] = maximum if previous is None else max(float(previous), float(maximum)) + return [buckets[key] for key in sorted(buckets)] + + +def _frozen_sanitizers_match_raw(rows: list[dict[str, object]]) -> bool: + for row in rows: + raw = int(row["raw_watermarked_detected"]) + sanitizers = row.get("sanitizers") or {} + for payload in sanitizers.values(): + if int(payload["watermarked_detected"]) != raw: + return False + return bool(rows) + + +def run_mix_local_measurements() -> dict[str, object]: + source = "I do not agree." + transformed = apply_letter_alternating_mix(source) + hashes = tuple(sha256_text(apply_letter_alternating_mix(source)) for _ in range(5)) + visible_pass = 0 + visible_total = 0 + render_rows = [] + for fixture_id, text, extra in _RENDER_FIXTURES: + applied = apply_letter_alternating_mix(text) + visible_total += 1 + if is_carrier_insertion_v1(text, applied, LETTER_MIX_APPROVED_CARRIERS) and project_visible_v1( + applied, LETTER_MIX_APPROVED_CARRIERS + ) == text: + visible_pass += 1 + render_rows.append( + { + "fixture_id": fixture_id, + "render": run_rendering(text, applied, extra_surfaces=extra), + } + ) + mn_removed = strip_nonspacing_marks(transformed) + di_removed = strip_default_ignorable(transformed) + payload = { + "algorithm_version": CYCLE8_MIX_SCORECARD_VERSION, + "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID, + "visible_pass": visible_pass, + "visible_total": visible_total, + "visible_pass_rate": f"{visible_pass}/{visible_total}", + "release_registry_empty": release_transform_registry().rules == (), + "cli_identity": process_text(source) == source, + "cli_preserves_transformed": process_text(transformed) == transformed, + "determinism": { + "repeats": 5, + "unique_hashes": len(set(hashes)), + "deterministic": len(set(hashes)) == 1, + "output_sha256": hashes[0], + }, + "roundtrips": { + "utf8_in_memory": transformed.encode("utf-8").decode("utf-8") == transformed, + "nfc": nfc_normalize(transformed) == transformed, + "nfkc": nfkc_normalize(transformed) == transformed, + "cf_strip": strip_unicode_format_characters(transformed) == transformed, + "ws_collapse": collapse_horizontal_ascii_whitespace(transformed) == transformed, + "latin1": False, + }, + "stress": { + "mn_strip_removes_carrier": "\u034f" not in mn_removed and "\ufe00" not in mn_removed, + "default_ignorable_strip_removes_carrier": "\u034f" not in di_removed and "\ufe00" not in di_removed, + }, + "rendering": render_rows, + "projected_equals_source": project_visible_v1(transformed, LETTER_MIX_APPROVED_CARRIERS) == source, + } + return {**payload, "artifact_hash": sha256_json(payload)} + + +def _render_status(local: dict[str, object]) -> dict[str, object]: + rendering = local.get("rendering") or [] + summary = { + "chromium_pre": "UNKNOWN", + "chromium_textarea": "UNKNOWN", + "chromium_contenteditable": "UNKNOWN", + "webkit_safari": "UNKNOWN", + "terminal_pixels": "UNKNOWN", + "rows": [], + } + for row in rendering: + render = row["render"] + summary["rows"].append( + { + "fixture_id": row["fixture_id"], + "chromium_pre": render["chromium_pre"].get("status"), + "chromium_textarea": render["chromium_textarea"].get("status"), + "chromium_contenteditable": render["chromium_contenteditable"].get("status"), + "terminal_display_width": render["terminal_display_width"].get("status"), + "terminal_pixels": render["terminal_pixels"].get("status"), + "webkit_safari": render["webkit_safari"].get("status"), + } + ) + pre = render["chromium_pre"].get("status") + if pre == "REJECTED": + summary["chromium_pre"] = "REJECTED" + elif pre == "VERIFIED" and summary["chromium_pre"] != "REJECTED": + summary["chromium_pre"] = "VERIFIED" + textarea = render["chromium_textarea"].get("status") + if textarea == "REJECTED": + summary["chromium_textarea"] = "REJECTED" + elif textarea == "VERIFIED" and summary["chromium_textarea"] != "REJECTED": + summary["chromium_textarea"] = "VERIFIED" + editable = render["chromium_contenteditable"].get("status") + if editable == "REJECTED": + summary["chromium_contenteditable"] = "REJECTED" + elif editable == "VERIFIED" and summary["chromium_contenteditable"] != "REJECTED": + summary["chromium_contenteditable"] = "VERIFIED" + if render["webkit_safari"].get("status") == "UNKNOWN": + summary["webkit_safari"] = "UNKNOWN" + if render["terminal_pixels"].get("status") == "UNKNOWN": + summary["terminal_pixels"] = "UNKNOWN" + return summary + + +def build_mix_margin_scorecard(*, local: dict[str, object]) -> dict[str, object]: + primary = _load(_PRIMARY) + replica = _load(_REPLICA) + mix_primary = enrich_detector_artifact(primary, transformed_arm_id=CYCLE8_LETTER_ALT_ARM_ID) + mix_replica = enrich_detector_artifact(replica, transformed_arm_id=CYCLE8_LETTER_ALT_ARM_ID) + letter_primary = enrich_detector_artifact(primary, transformed_arm_id=CYCLE8_U034F_LETTER_ARM_ID) + letter_replica = enrich_detector_artifact(replica, transformed_arm_id=CYCLE8_U034F_LETTER_ARM_ID) + mix_rows = [mix_primary, mix_replica] + mix_detected = int(mix_primary["raw_watermarked_detected"]) + int(mix_replica["raw_watermarked_detected"]) + mix_uw = int(mix_primary["raw_unwatermarked_detected"]) + int(mix_replica["raw_unwatermarked_detected"]) + letter_detected = int(letter_primary["raw_watermarked_detected"]) + int(letter_replica["raw_watermarked_detected"]) + mix_max = max(float(mix_primary["raw_watermarked_scores"]["max"]), float(mix_replica["raw_watermarked_scores"]["max"])) + letter_max = max( + float(letter_primary["raw_watermarked_scores"]["max"]), + float(letter_replica["raw_watermarked_scores"]["max"]), + ) + base_environment = environment_payload() + environment = {key: value for key, value in base_environment.items() if key != "environment_hash"} + environment["algorithm_version"] = CYCLE8_MIX_SCORECARD_VERSION + environment["benchmark_arm_ids"] = list(CYCLE8_MIX_ARM_IDS) + environment_hash = sha256_json(environment) + render = _render_status(local) + payload = { + "algorithm_version": CYCLE8_MIX_SCORECARD_VERSION, + "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID, + "confirmation": False, + "freeze": False, + "product_authorized": False, + "release_registry_empty": release_transform_registry().rules == (), + "decision": "PROMISING_DEVELOPMENT", + "evidence_label": "HYPOTHESIS", + "threshold": CYCLE6_THRESHOLD, + "environment_hash": environment_hash, + "effectiveness": { + "fresh_mix": { + "label": "HYPOTHESIS", + "pairs": 128, + "rate": f"{mix_detected}/128", + "raw_watermarked_detected": mix_detected, + "raw_unwatermarked_detected": mix_uw, + "max_score": mix_max, + "min_gap_below_threshold": CYCLE6_THRESHOLD - mix_max, + "1020000": _compact(mix_primary), + "1030000": _compact(mix_replica), + "domains": _merge_domains(mix_rows), + }, + "fresh_letter_x1_same_corpora": { + "label": "HYPOTHESIS", + "pairs": 128, + "rate": f"{letter_detected}/128", + "raw_watermarked_detected": letter_detected, + "max_score": letter_max, + "min_gap_below_threshold": CYCLE6_THRESHOLD - letter_max, + }, + "letter_space_spent": { + "label": "HYPOTHESIS", + "rate": "1/128", + "detail": "seeds 1000000 and 1010000 remain 1/128 and are not rewritten as zero", + }, + "letter_x1_system_benchmark": { + "label": "HYPOTHESIS", + "rate": "0/128", + "max_score": 0.5540663040663041, + "min_gap_below_threshold": 0.003032461365794714, + "detail": "seeds 980000 and 990000 remain the letter-x1 system benchmark", + }, + }, + "durability": { + "frozen_sanitizers_match_raw_on_fresh_mix": _frozen_sanitizers_match_raw(mix_rows), + "roundtrips": local["roundtrips"], + "stress": local["stress"], + }, + "visibility": { + "label": "VERIFIED" if int(local["visible_pass"]) == int(local["visible_total"]) else "REJECTED", + "fixture_pass_rate": local["visible_pass_rate"], + "cli_identity": local["cli_identity"], + "projected_equals_source": local["projected_equals_source"], + "rendering": render, + }, + "reproducibility": { + "deterministic_output": bool(local["determinism"]["deterministic"]), + "determinism_unique_hashes": int(local["determinism"]["unique_hashes"]), + "fresh_independent_corpora": 2, + "fresh_mix_zero_on_both_corpora": mix_detected == 0, + }, + "efficiency": { + "fresh_inserted_count_mean": ( + float(mix_primary["inserted_count_mean"]) + float(mix_replica["inserted_count_mean"]) + ) + / 2, + "fresh_utf8_overhead_mean": ( + float(mix_primary["utf8_overhead_mean"]) + float(mix_replica["utf8_overhead_mean"]) + ) + / 2, + "fresh_token_count_delta_mean": ( + float(mix_primary.get("token_count_delta_mean") or 0) + + float(mix_replica.get("token_count_delta_mean") or 0) + ) + / 2, + "fresh_transformed_token_count_max": max( + int(mix_primary.get("transformed_token_count_max") or 0), + int(mix_replica.get("transformed_token_count_max") or 0), + ), + "fresh_cap_bind_watermarked": int(mix_primary.get("cap_bind_watermarked") or 0) + + int(mix_replica.get("cap_bind_watermarked") or 0), + "letter_cap": 192, + }, + "formal_confirmation_readiness": { + "ready": False, + "label": "NOT_READY", + "reasons": [ + "fresh mix 0/128 is development evidence, not a preregistered confirmation protocol", + "only two independent n=64 corpora have been scored for this mechanism", + "letter-alt is not frozen and is not in release_transform_registry()", + "seed 950000 remains ungenerated", + "Mn-strip removes U+034F and selected default-ignorable stripping removes the mix carriers", + "this scorecard is measurement, not confirmation", + ], + }, + "local_artifact_hash": local["artifact_hash"], + "weaknesses": [ + "Mn-strip removes U+034F", + "default-ignorable-strip removes U+034F and U+FE00", + "latin-1 cannot roundtrip U+034F or U+FE00", + "ordinary vim save may append a trailing newline", + "selected-site cap 192 still binds on long rows", + "token expansion remains large", + "Safari/WebKit rendering is UNKNOWN on this Linux host", + "terminal pixel equality is UNKNOWN", + ], + } + return {**payload, "scorecard_hash": sha256_json(payload)} diff --git a/fuckmark/cycle8/registry.py b/fuckmark/cycle8/registry.py index 7fa91b88..bcc9ad33 100644 --- a/fuckmark/cycle8/registry.py +++ b/fuckmark/cycle8/registry.py @@ -18,6 +18,22 @@ LETTER_CARRIER_MAX_SELECTED = 192 +LETTER_PAYLOAD_TARGET = 384 +LETTER_PAYLOAD_MAX_REPEATS = 8 + + +def letter_payload_repeats(selected_count: int) -> int: + if not isinstance(selected_count, int) or isinstance(selected_count, bool): + raise TypeError("selected_count must be an integer") + if selected_count < 0: + raise ValueError("selected_count must be non-negative") + if selected_count == 0 or selected_count >= LETTER_CARRIER_MAX_SELECTED: + return 1 + if selected_count >= 80: + return 2 + if selected_count >= 40: + return 4 + return 8 def cycle8_space_carrier_registry( @@ -38,9 +54,31 @@ def cycle8_letter_carrier_registry( identifiers: Sequence[str] = (), *, max_selected: int | None = LETTER_CARRIER_MAX_SELECTED, + repeats: int = 1, ) -> ProductTransformRegistry: return ProductTransformRegistry( - (InvisibleCarrierAfterAsciiLetterRule.create(codepoint),), + (InvisibleCarrierAfterAsciiLetterRule.create(codepoint, repeats=repeats),), + identifiers, + approved_carriers=(codepoint,), + quote_policy_id=PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, + word_signature_source=WORD_SIGNATURE_SOURCE_VISIBLE, + max_selected=max_selected, + ) + + +def cycle8_letter_space_carrier_registry( + codepoint: int, + identifiers: Sequence[str] = (), + *, + letter_repeats: int = 1, + space_repeats: int = 1, + max_selected: int | None = LETTER_CARRIER_MAX_SELECTED, +) -> ProductTransformRegistry: + return ProductTransformRegistry( + ( + space_carrier_rule(codepoint, space_repeats), + InvisibleCarrierAfterAsciiLetterRule.create(codepoint, repeats=letter_repeats), + ), identifiers, approved_carriers=(codepoint,), quote_policy_id=PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, @@ -57,6 +95,34 @@ def cycle8_combined_carrier_registry(codepoint: int, identifiers: Sequence[str] ) +def apply_letter_payload_boost(text: str, codepoint: int = 0x034F) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + base = cycle8_letter_carrier_registry(codepoint, repeats=1) + enumeration = base.enumerate(text) + selected = select_nonoverlapping_candidate_ids(enumeration, registry=base) + repeats = letter_payload_repeats(len(selected)) + if repeats == 1: + if not selected: + return text + return base.apply(enumeration, selected).output_text + return apply_all_candidates(cycle8_letter_carrier_registry(codepoint, repeats=repeats), text) + + +def apply_letter_space_scheduled(text: str, codepoint: int = 0x034F) -> str: + if not isinstance(text, str): + raise TypeError("text must be a string") + lettered = apply_letter_payload_boost(text, codepoint) + space = ProductTransformRegistry( + (space_carrier_rule(codepoint),), + identifiers=(), + approved_carriers=(codepoint,), + quote_policy_id=PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID, + word_signature_source=WORD_SIGNATURE_SOURCE_VISIBLE, + ) + return apply_all_candidates(space, lettered) + + def cycle8_space_wordfinal_carrier_registry( codepoint: int, identifiers: Sequence[str] = (), diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index cf5cf485..425d8374 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -36,6 +36,14 @@ CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE, CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + CYCLE8_MARGIN_PRIMARY_ROLE, + CYCLE8_MARGIN_PRIMARY_TOPIC, + CYCLE8_MARGIN_REPLICATION_ROLE, + CYCLE8_MARGIN_REPLICATION_TOPIC, + CYCLE8_MIX_PRIMARY_ROLE, + CYCLE8_MIX_PRIMARY_TOPIC, + CYCLE8_MIX_REPLICATION_ROLE, + CYCLE8_MIX_REPLICATION_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -165,7 +173,15 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC if role == CYCLE8_LETTER_BENCHMARK_REPLICATION_ROLE: return CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, or letter-benchmark seeds") + if role == CYCLE8_MARGIN_PRIMARY_ROLE: + return CYCLE8_MARGIN_PRIMARY_TOPIC + if role == CYCLE8_MARGIN_REPLICATION_ROLE: + return CYCLE8_MARGIN_REPLICATION_TOPIC + if role == CYCLE8_MIX_PRIMARY_ROLE: + return CYCLE8_MIX_PRIMARY_TOPIC + if role == CYCLE8_MIX_REPLICATION_ROLE: + return CYCLE8_MIX_REPLICATION_TOPIC + raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, letter-benchmark, margin, or mix seeds") def _generate_cycle8_samples( diff --git a/fuckmark/cycle8_margin_hf.py b/fuckmark/cycle8_margin_hf.py new file mode 100644 index 00000000..3278fe81 --- /dev/null +++ b/fuckmark/cycle8_margin_hf.py @@ -0,0 +1,70 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_MARGIN_ARM_IDS, CYCLE8_U034F_LETTER_SPACE_ARM_ID +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, CYCLE8_MARGIN_PRIMARY_SEED_BASE +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_margin_generation_seed + + +CYCLE8_MARGIN_DETECTOR_VERSION = "cycle8-margin-detector-compare-v1" + + +def run_cycle8_margin_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_MARGIN_PRIMARY_SEED_BASE, + pair_count: int = CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_margin_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=CYCLE8_MARGIN_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_MARGIN_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-margin-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_MARGIN_PRIMARY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_LETTER_BENCHMARK_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) + assert_new_cycle8_margin_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path( + f"evidence/cycle8-margin-{args.seed_base}-n{args.pair_count}-2026-08-26/detector-compare.json" + ) + detector = run_cycle8_margin_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=CYCLE8_U034F_LETTER_SPACE_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_mix_hf.py b/fuckmark/cycle8_mix_hf.py new file mode 100644 index 00000000..ec86b500 --- /dev/null +++ b/fuckmark/cycle8_mix_hf.py @@ -0,0 +1,70 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_MIX_ARM_IDS +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, CYCLE8_MIX_PRIMARY_SEED_BASE +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from .cycle8_hf import run_cycle8_detector_compare +from .durable_io import write_canonical_json_fsynced +from .seeds.ledger import assert_new_cycle8_mix_generation_seed + + +CYCLE8_MIX_DETECTOR_VERSION = "cycle8-mix-detector-compare-v1" + + +def run_cycle8_mix_detector_compare( + *, + device: str = "cpu", + seed_base: int = CYCLE8_MIX_PRIMARY_SEED_BASE, + pair_count: int = CYCLE8_LETTER_BENCHMARK_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_new_cycle8_mix_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=CYCLE8_MIX_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_MIX_DETECTOR_VERSION, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-mix-detector") + parser.add_argument("--device", choices=("cpu", "cuda"), default="cpu") + parser.add_argument("--seed-base", type=int, default=CYCLE8_MIX_PRIMARY_SEED_BASE) + parser.add_argument("--pair-count", type=int, default=CYCLE8_LETTER_BENCHMARK_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) + assert_new_cycle8_mix_generation_seed(args.seed_base) + if args.detector_json is None: + args.detector_json = Path( + f"evidence/cycle8-mix-{args.seed_base}-n{args.pair_count}-2026-08-26/detector-compare.json" + ) + detector = run_cycle8_mix_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=CYCLE8_LETTER_ALT_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/product/carriers.py b/fuckmark/product/carriers.py index 28df1d4e..b10c3139 100644 --- a/fuckmark/product/carriers.py +++ b/fuckmark/product/carriers.py @@ -56,8 +56,8 @@ def __post_init__(self) -> None: if not self.replacement.startswith(INVISIBLE_LETTER_CARRIER_SENTINEL): raise ValueError("invisible letter-carrier replacement must keep the letter sentinel") carrier = self.replacement[len(INVISIBLE_LETTER_CARRIER_SENTINEL) :] - if len(carrier) != 1: - raise ValueError("invisible letter-carrier rules insert exactly one carrier") + if not carrier: + raise ValueError("invisible letter-carrier rules insert at least one carrier") if "\n" in self.source or "\r" in self.source or "\n" in self.replacement or "\r" in self.replacement: raise ValueError("invisible letter-carrier rules must stay single-line") require_bool("whole_word", self.whole_word) @@ -85,12 +85,17 @@ def _payload(self) -> dict[str, object]: } @classmethod - def create(cls, codepoint: int) -> "InvisibleCarrierAfterAsciiLetterRule": + def create(cls, codepoint: int, repeats: int = 1) -> "InvisibleCarrierAfterAsciiLetterRule": require_int("codepoint", codepoint) - carrier = chr(codepoint) + require_int("repeats", repeats) + if repeats <= 0: + raise ValueError("repeats must be positive") + carrier = chr(codepoint) * repeats + suffix = "" if repeats == 1 else f"-x{repeats}" + rule_id = f"product-carrier-letter-{codepoint:04X}{suffix}" hashed = { "algorithm_version": RULE_ALGORITHM_VERSION, - "rule_id": f"product-carrier-letter-{codepoint:04X}", + "rule_id": rule_id, "version": "v1", "family": TransformFamily.ORTHOGRAPHY.value, "tier": TransformTier.EXPERIMENTAL.value, @@ -102,7 +107,7 @@ def create(cls, codepoint: int) -> "InvisibleCarrierAfterAsciiLetterRule": "carrier_pattern": INVISIBLE_CARRIER_RULE_ALGORITHM_VERSION, } return cls( - rule_id=f"product-carrier-letter-{codepoint:04X}", + rule_id=rule_id, version="v1", family=TransformFamily.ORTHOGRAPHY, tier=TransformTier.EXPERIMENTAL, diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py index 69d0b421..4d5591f6 100644 --- a/fuckmark/seeds/__init__.py +++ b/fuckmark/seeds/__init__.py @@ -7,6 +7,14 @@ CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + CYCLE8_MARGIN_PRIMARY_SEED_BASE, + CYCLE8_MARGIN_PRIMARY_TOPIC, + CYCLE8_MARGIN_REPLICATION_SEED_BASE, + CYCLE8_MARGIN_REPLICATION_TOPIC, + CYCLE8_MIX_PRIMARY_SEED_BASE, + CYCLE8_MIX_PRIMARY_TOPIC, + CYCLE8_MIX_REPLICATION_SEED_BASE, + CYCLE8_MIX_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -18,6 +26,8 @@ assert_new_cycle8_density_generation_seed, assert_new_cycle8_letter_generation_seed, assert_new_cycle8_letter_benchmark_generation_seed, + assert_new_cycle8_margin_generation_seed, + assert_new_cycle8_mix_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -35,6 +45,14 @@ "CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC", "CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE", "CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC", + "CYCLE8_MARGIN_PRIMARY_SEED_BASE", + "CYCLE8_MARGIN_PRIMARY_TOPIC", + "CYCLE8_MARGIN_REPLICATION_SEED_BASE", + "CYCLE8_MARGIN_REPLICATION_TOPIC", + "CYCLE8_MIX_PRIMARY_SEED_BASE", + "CYCLE8_MIX_PRIMARY_TOPIC", + "CYCLE8_MIX_REPLICATION_SEED_BASE", + "CYCLE8_MIX_REPLICATION_TOPIC", "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", "CYCLE8_SCALE_EXPLORATORY_TOPIC", "CYCLE8_SCALE_REPLICATION_SEED_BASE", @@ -46,6 +64,8 @@ "assert_new_cycle8_density_generation_seed", "assert_new_cycle8_letter_generation_seed", "assert_new_cycle8_letter_benchmark_generation_seed", + "assert_new_cycle8_margin_generation_seed", + "assert_new_cycle8_mix_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 6e5c8786..3ccd8d62 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -18,6 +18,10 @@ CYCLE8_LETTER_EXPLORATORY_SEED_BASE = 970_000 CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE = 980_000 CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE = 990_000 +CYCLE8_MARGIN_PRIMARY_SEED_BASE = 1_000_000 +CYCLE8_MARGIN_REPLICATION_SEED_BASE = 1_010_000 +CYCLE8_MIX_PRIMARY_SEED_BASE = 1_020_000 +CYCLE8_MIX_REPLICATION_SEED_BASE = 1_030_000 CYCLE8_SCALE_EXPLORATORY_TOPIC = "carrier scaling" CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" @@ -25,6 +29,10 @@ CYCLE8_LETTER_EXPLORATORY_TOPIC = "intra-word carrier follow-up" CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC = "letter carrier system benchmark" CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC = "letter carrier benchmark replication" +CYCLE8_MARGIN_PRIMARY_TOPIC = "margin robustness development" +CYCLE8_MARGIN_REPLICATION_TOPIC = "margin robustness replication" +CYCLE8_MIX_PRIMARY_TOPIC = "letter mix margin development" +CYCLE8_MIX_REPLICATION_TOPIC = "letter mix margin replication" def _row( @@ -96,6 +104,10 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _row(970000, "cycle8", "letter_exploratory_development", CYCLE8_LETTER_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 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."), _row(980000, "cycle8", "letter_benchmark_primary", CYCLE8_LETTER_BENCHMARK_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. 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."), _row(990000, "cycle8", "letter_benchmark_replication", CYCLE8_LETTER_BENCHMARK_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. 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."), + _row(1000000, "cycle8", "margin_robustness_primary", CYCLE8_MARGIN_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. 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."), + _row(1010000, "cycle8", "margin_robustness_replication", CYCLE8_MARGIN_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 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."), + _row(1020000, "cycle8", "mix_margin_primary", CYCLE8_MIX_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. 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."), + _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(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."), @@ -119,7 +131,11 @@ def global_seed_ledger_payload() -> dict[str, object]: "850000. Do not generate 950000 until a stronger mechanism is frozen. " "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 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." ), "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), @@ -137,6 +153,14 @@ def global_seed_ledger_payload() -> dict[str, object]: "cycle8_letter_benchmark_primary_topic": CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, "cycle8_letter_benchmark_replication_seed_base": CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, "cycle8_letter_benchmark_replication_topic": CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + "cycle8_margin_primary_seed_base": CYCLE8_MARGIN_PRIMARY_SEED_BASE, + "cycle8_margin_primary_topic": CYCLE8_MARGIN_PRIMARY_TOPIC, + "cycle8_margin_replication_seed_base": CYCLE8_MARGIN_REPLICATION_SEED_BASE, + "cycle8_margin_replication_topic": CYCLE8_MARGIN_REPLICATION_TOPIC, + "cycle8_mix_primary_seed_base": CYCLE8_MIX_PRIMARY_SEED_BASE, + "cycle8_mix_primary_topic": CYCLE8_MIX_PRIMARY_TOPIC, + "cycle8_mix_replication_seed_base": CYCLE8_MIX_REPLICATION_SEED_BASE, + "cycle8_mix_replication_topic": CYCLE8_MIX_REPLICATION_TOPIC, "rows": list(rows), } @@ -215,6 +239,34 @@ def assert_new_cycle8_letter_benchmark_generation_seed(seed_base: int) -> None: raise ValueError("unseen validation seeds must not be used for development generation") +def assert_new_cycle8_margin_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_MARGIN_PRIMARY_SEED_BASE, CYCLE8_MARGIN_REPLICATION_SEED_BASE}: + raise ValueError("seed_base is not a Cycle 8 margin robustness 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_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 not in {CYCLE8_MIX_PRIMARY_SEED_BASE, CYCLE8_MIX_REPLICATION_SEED_BASE}: + raise ValueError("seed_base is not a Cycle 8 letter-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/fuckmark/transforms/cycle7_quote_policy.py b/fuckmark/transforms/cycle7_quote_policy.py index 1c8d4396..68a9c90b 100644 --- a/fuckmark/transforms/cycle7_quote_policy.py +++ b/fuckmark/transforms/cycle7_quote_policy.py @@ -39,6 +39,7 @@ _PRODUCT_VISIBLE_CARRIER_RULE_PREFIXES = ( "product-carrier-letter-", "product-carrier-word-final-letter-", + "product-carrier-space-", ) _DURABLE_RULE_PREFIXES = ( diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index 50f7b4f6..af47a3af 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":"3145a44d411530b2b2ab34fd8159e3634a2ed5ae26ea78bb9c65d2522b201cb2","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","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. Do not inspect 830000, 840000, or 850000. 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. 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,"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":"dd96976a6a18d63d0d385d9a508c6ae86a0179032f2f5300feb9cc0453454291","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","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. Do not inspect 830000, 840000, or 850000. 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. 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 4ecb6f22..34211087 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_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":"fa19b200c5ae8650d627b7e03fabf4c56879a199145f1313b9036fe3de6ca9c9","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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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. 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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. 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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":"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index 6a113290..af7fbf19 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -61,6 +61,12 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["letter_benchmark_primary_seed_base"] == 980_000 assert payload["letter_benchmark_replication_seed_base"] == 990_000 assert payload["letter_benchmark_primary_topic"] == "letter carrier system benchmark" + assert payload["margin_primary_seed_base"] == 1_000_000 + assert payload["margin_replication_seed_base"] == 1_010_000 + assert payload["margin_primary_topic"] == "margin robustness development" + assert payload["mix_primary_seed_base"] == 1_020_000 + assert payload["mix_replication_seed_base"] == 1_030_000 + assert payload["mix_primary_topic"] == "letter mix margin development" 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() @@ -70,6 +76,10 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert_cycle8_development_seed(970_000, role="letter_exploratory_development") assert_cycle8_development_seed(980_000, role="letter_benchmark_primary") assert_cycle8_development_seed(990_000, role="letter_benchmark_replication") + assert_cycle8_development_seed(1_000_000, role="margin_robustness_primary") + assert_cycle8_development_seed(1_010_000, role="margin_robustness_replication") + assert_cycle8_development_seed(1_020_000, role="mix_margin_primary") + assert_cycle8_development_seed(1_030_000, role="mix_margin_replication") 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_letter.py b/tests/test_cycle8_letter.py index 2303476a..805b9810 100644 --- a/tests/test_cycle8_letter.py +++ b/tests/test_cycle8_letter.py @@ -1,20 +1,41 @@ from fuckmark.cli import process_text from fuckmark.cycle8.compare import ( CYCLE8_LETTER_ARM_IDS, + CYCLE8_MARGIN_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_U034F_LETTER_BOOST_ARM_ID, + CYCLE8_U034F_LETTER_SCHEDULE_SPACE_ARM_ID, + CYCLE8_U034F_LETTER_SPACE_ARM_ID, + CYCLE8_U034F_LETTER_X2_ARM_ID, CYCLE8_U034F_SPACE_ARM_ID, measure_carrier_arm, ) -from fuckmark.cycle8.ledger import CYCLE8_LETTER_EXPLORATORY_ROLE, assert_cycle8_development_seed +from fuckmark.cycle8.ledger import ( + CYCLE8_LETTER_EXPLORATORY_ROLE, + CYCLE8_MARGIN_PRIMARY_ROLE, + CYCLE8_MARGIN_REPLICATION_ROLE, + assert_cycle8_development_seed, +) from fuckmark.cycle8.registry import ( LETTER_CARRIER_MAX_SELECTED, apply_all_candidates, + apply_letter_payload_boost, + apply_letter_space_scheduled, cycle8_letter_carrier_registry, + cycle8_letter_space_carrier_registry, cycle8_space_carrier_registry, + letter_payload_repeats, ) -from fuckmark.seeds.ledger import CYCLE8_LETTER_EXPLORATORY_SEED_BASE, assert_new_cycle8_letter_generation_seed from fuckmark.product.carrier_invariants import validate_product_carrier_invariants +from fuckmark.product.carriers import InvisibleCarrierAfterAsciiLetterRule from fuckmark.product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from fuckmark.seeds.ledger import ( + CYCLE8_LETTER_EXPLORATORY_SEED_BASE, + CYCLE8_MARGIN_PRIMARY_SEED_BASE, + CYCLE8_MARGIN_REPLICATION_SEED_BASE, + assert_new_cycle8_letter_generation_seed, + assert_new_cycle8_margin_generation_seed, +) from fuckmark.transforms.cycle7_quote_policy import PRODUCT_VISIBLE_CARRIER_QUOTE_POLICY_ID from fuckmark.transforms.hard_invariants import HARD_INVARIANT_ALGORITHM_VERSION, validate_hard_invariants from fuckmark.transforms.registry import release_transform_registry @@ -117,5 +138,94 @@ def test_letter_seed_is_reserved_and_release_registry_stays_empty() -> None: assert CYCLE8_LETTER_ARM_IDS == ("identity", CYCLE8_U034F_LETTER_ARM_ID) assert_new_cycle8_letter_generation_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE) assert_cycle8_development_seed(CYCLE8_LETTER_EXPLORATORY_SEED_BASE, role=CYCLE8_LETTER_EXPLORATORY_ROLE) + assert CYCLE8_MARGIN_ARM_IDS == ("identity", CYCLE8_U034F_LETTER_ARM_ID, CYCLE8_U034F_LETTER_SPACE_ARM_ID) + assert_new_cycle8_margin_generation_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE) + 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 release_transform_registry().rules == () + + +def test_letter_x1_rule_hash_stays_frozen() -> None: + rule = InvisibleCarrierAfterAsciiLetterRule.create(0x034F) + assert rule.rule_id == "product-carrier-letter-034F" + assert rule.rule_hash == "ce3c3d703724216d1b8a6155a3b4bc63c7c1b2a8adad6975dd29ef07b0289585" + x2 = InvisibleCarrierAfterAsciiLetterRule.create(0x034F, repeats=2) + assert x2.rule_id == "product-carrier-letter-034F-x2" + assert x2.rule_hash != rule.rule_hash + + +def test_letter_x2_doubles_payload_and_stays_visible_invariant() -> None: + source = "We never wait and I don't agree." + x1 = apply_all_candidates(cycle8_letter_carrier_registry(0x034F, repeats=1), source) + x2 = apply_all_candidates(cycle8_letter_carrier_registry(0x034F, repeats=2), source) + assert x2.count("\u034f") == 2 * x1.count("\u034f") + assert is_carrier_insertion_v1(source, x2, (0x034F,)) + assert project_visible_v1(x2, (0x034F,)) == source + measured = measure_carrier_arm( + arm_id=CYCLE8_U034F_LETTER_X2_ARM_ID, + source_sample_id="letter-x2", + source_text=source, + ) + assert measured["visible_ok"] is True + assert int(measured["inserted_count"]) == x2.count("\u034f") + assert process_text(source) == source + assert release_transform_registry().rules == () + + +def test_letter_payload_boost_uses_x1_at_cap_and_more_repeats_when_sparse() -> None: + assert letter_payload_repeats(0) == 1 + assert letter_payload_repeats(192) == 1 + assert letter_payload_repeats(193) == 1 + assert letter_payload_repeats(159) == 2 + assert letter_payload_repeats(80) == 2 + assert letter_payload_repeats(40) == 4 + assert letter_payload_repeats(39) == 8 + assert letter_payload_repeats(34) == 8 + dense = "abcdefghijklmnopqrstuvwxyz" * 12 + boosted_dense = apply_letter_payload_boost(dense) + capped_x1 = apply_all_candidates(cycle8_letter_carrier_registry(0x034F, repeats=1), dense) + assert boosted_dense == capped_x1 + sparse = "Ab cd." + boosted_sparse = apply_letter_payload_boost(sparse) + x1_sparse = apply_all_candidates(cycle8_letter_carrier_registry(0x034F, repeats=1), sparse) + assert boosted_sparse.count("\u034f") > x1_sparse.count("\u034f") + assert project_visible_v1(boosted_sparse, (0x034F,)) == sparse + measured = measure_carrier_arm( + arm_id=CYCLE8_U034F_LETTER_BOOST_ARM_ID, + source_sample_id="letter-boost", + source_text=sparse, + ) + assert measured["visible_ok"] is True + assert int(measured["inserted_count"]) == boosted_sparse.count("\u034f") + scheduled = apply_letter_space_scheduled(sparse) + assert scheduled.count("\u034f") >= boosted_sparse.count("\u034f") + assert project_visible_v1(scheduled, (0x034F,)) == sparse + measured_scheduled = measure_carrier_arm( + arm_id=CYCLE8_U034F_LETTER_SCHEDULE_SPACE_ARM_ID, + source_sample_id="letter-schedule-space", + source_text=sparse, + ) + assert measured_scheduled["visible_ok"] is True + assert int(measured_scheduled["inserted_count"]) == scheduled.count("\u034f") + + +def test_letter_space_combined_keeps_visible_words_and_quote_interior() -> None: + source = 'Keep "do not change this" but I do not agree.' + registry = cycle8_letter_space_carrier_registry(0x034F) + applied = apply_all_candidates(registry, source) + assert is_carrier_insertion_v1(source, applied, (0x034F,)) + assert project_visible_v1(applied, (0x034F,)) == source + letter_only = apply_all_candidates(cycle8_letter_carrier_registry(0x034F), source) + assert applied.count("\u034f") >= letter_only.count("\u034f") + interior = applied[applied.index('"') + 1 : applied.rindex('"')] + assert "\u034f" in interior + measured = measure_carrier_arm( + arm_id=CYCLE8_U034F_LETTER_SPACE_ARM_ID, + source_sample_id="letter-space", + source_text=source, + ) + assert measured["visible_ok"] is True assert process_text("I do not agree.") == "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 new file mode 100644 index 00000000..cdcb3531 --- /dev/null +++ b/tests/test_cycle8_letter_mix.py @@ -0,0 +1,77 @@ +from fuckmark.cli import process_text +from fuckmark.cycle8.compare import ( + CYCLE8_LETTER_ALT_ARM_ID, + CYCLE8_MIX_ARM_IDS, + CYCLE8_U034F_LETTER_ARM_ID, + measure_carrier_arm, +) +from fuckmark.cycle8.letter_mix import ( + LETTER_MIX_APPROVED_CARRIERS, + LETTER_MIX_MAX_SELECTED, + apply_letter_alternating_mix, + hard_machine_intervals, + select_letter_mix_sites, +) +from fuckmark.cycle8.registry import LETTER_CARRIER_MAX_SELECTED, apply_all_candidates, cycle8_letter_carrier_registry +from fuckmark.cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +from fuckmark.product.visible_projection import is_carrier_insertion_v1, project_visible_v1 +from fuckmark.transforms.registry import release_transform_registry + + +def test_letter_mix_uses_alternating_carriers_and_keeps_visible_text() -> None: + source = "Abcd" + applied = apply_letter_alternating_mix(source) + assert applied == "A\u034fb\ufe00c\u034fd\ufe00" + 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 release_transform_registry().rules == () + + +def test_letter_mix_reaches_unclosed_math_prose_and_blocks_numbers_and_urls() -> None: + source = r"Keep going \[item 7 and we never wait at https://example.com/ab." + letter = apply_all_candidates(cycle8_letter_carrier_registry(0x034F), source) + mix = apply_letter_alternating_mix(source) + letter_sites = select_letter_mix_sites(source) + assert len(letter_sites) > letter.count("\u034f") + assert mix.count("\u034f") + mix.count("\ufe00") == len(letter_sites) + assert "7" in mix + assert "https://example.com/ab" in project_visible_v1(mix, LETTER_MIX_APPROVED_CARRIERS) + assert "https://example.com/ab" in mix.replace("\u034f", "").replace("\ufe00", "") + intervals = hard_machine_intervals(source) + assert any(source[start:end] == "7" for start, end in intervals) + url = "https://example.com/ab" + url_start = source.index(url) + url_end = url_start + len(url) + for index in letter_sites: + assert index < url_start or index >= url_end + assert source[index] != "7" + assert project_visible_v1(mix, LETTER_MIX_APPROVED_CARRIERS) == source + measured = measure_carrier_arm( + arm_id=CYCLE8_LETTER_ALT_ARM_ID, + source_sample_id="letter-mix", + source_text=source, + ) + assert measured["visible_ok"] is True + assert int(measured["inserted_count"]) == mix.count("\u034f") + mix.count("\ufe00") + assert int(measured["selected_count"]) == len(letter_sites) + assert int(measured["protected_blocked_count"]) >= 1 + assert CYCLE8_MIX_ARM_IDS == ("identity", CYCLE8_U034F_LETTER_ARM_ID, CYCLE8_LETTER_ALT_ARM_ID) + for variant in CYCLE8_SCALE_SANITIZER_VARIANT_IDS: + sanitized = sanitize_cycle8_scale_variant(variant, mix) + assert sanitized == mix + assert is_carrier_insertion_v1(source, sanitized, LETTER_MIX_APPROVED_CARRIERS) + + +def test_letter_mix_inserts_inside_quotes_and_respects_cap() -> None: + quoted = 'He said "hello world" and left.' + applied = apply_letter_alternating_mix(quoted) + interior = applied[applied.index('"') + 1 : applied.rindex('"')] + assert "\u034f" in interior or "\ufe00" in interior + source = "abcdefghijklmnopqrstuvwxyz" * 12 + 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 release_transform_registry().rules == () diff --git a/tests/test_cycle8_margin_evidence.py b/tests/test_cycle8_margin_evidence.py new file mode 100644 index 00000000..e5836edf --- /dev/null +++ b/tests/test_cycle8_margin_evidence.py @@ -0,0 +1,91 @@ +import json +from pathlib import Path + +from fuckmark.cycle8.compare import ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, + CYCLE8_U034F_LETTER_SPACE_ARM_ID, +) +from fuckmark.cycle8.decision import PROMISING_DEVELOPMENT +from fuckmark.cycle8_margin_hf import CYCLE8_MARGIN_DETECTOR_VERSION +from fuckmark.hashing import sha256_json +from fuckmark.seeds.ledger import CYCLE8_MARGIN_PRIMARY_TOPIC, CYCLE8_MARGIN_REPLICATION_TOPIC +from fuckmark.transforms.registry import release_transform_registry + + +def _load(relative: str) -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) + + +def test_margin_1000000_letter_space_is_zero_raw() -> None: + artifact = _load("evidence/cycle8-margin-1000000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "dc23489a43c263dc1d8c6211e12e40bc52e2911b2017ecf912bc1ea1d769c00a" + assert artifact["seed_base"] == 1000000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MARGIN_PRIMARY_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MARGIN_DETECTOR_VERSION + assert artifact["detector_access_used_for_selection"] is False + assert artifact["secret_access_used_for_selection"] is False + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + space = artifact["summaries"][CYCLE8_U034F_LETTER_SPACE_ARM_ID] + assert identity["raw_watermarked_detected"] == 63 + assert letter["raw_watermarked_detected"] == 0 + assert space["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert space["raw_unwatermarked_detected"] == 0 + assert space["visible_pass_count"] == 128 + assert space["nfc_watermarked_detected"] == 0 + assert space["cf_strip_watermarked_detected"] == 0 + assert float(space["raw_watermarked_max_score"]) < 0.5570987654320988 + decision = _load("evidence/cycle8-margin-1000000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["transformed_arm_id"] == CYCLE8_U034F_LETTER_SPACE_ARM_ID + assert release_transform_registry().rules == () + + +def test_margin_1010000_letter_space_has_one_residual() -> None: + artifact = _load("evidence/cycle8-margin-1010000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "3d44e8e76bd3771e2adc1068038491284683061350c87a467a29eac126db8095" + assert artifact["seed_base"] == 1010000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MARGIN_REPLICATION_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MARGIN_DETECTOR_VERSION + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + space = artifact["summaries"][CYCLE8_U034F_LETTER_SPACE_ARM_ID] + assert identity["raw_watermarked_detected"] == 64 + assert letter["raw_watermarked_detected"] == 1 + assert space["raw_watermarked_detected"] == 1 + assert letter["raw_unwatermarked_detected"] == 0 + assert space["raw_unwatermarked_detected"] == 0 + assert space["visible_pass_count"] == 128 + assert space["nfc_watermarked_detected"] == 1 + assert space["cf_strip_watermarked_detected"] == 1 + assert float(space["raw_watermarked_max_score"]) >= 0.5570987654320988 + decision = _load("evidence/cycle8-margin-1010000-n64-2026-08-26/decision.json") + assert decision["u034f_raw_watermarked_detected"] == 1 + assert decision["transformed_arm_id"] == CYCLE8_U034F_LETTER_SPACE_ARM_ID + assert release_transform_registry().rules == () + + +def test_letter_space_fresh_combined_is_one_of_128_not_zero() -> None: + primary = _load("evidence/cycle8-margin-1000000-n64-2026-08-26/detector-compare.json") + replica = _load("evidence/cycle8-margin-1010000-n64-2026-08-26/detector-compare.json") + combined_space = ( + primary["summaries"][CYCLE8_U034F_LETTER_SPACE_ARM_ID]["raw_watermarked_detected"] + + replica["summaries"][CYCLE8_U034F_LETTER_SPACE_ARM_ID]["raw_watermarked_detected"] + ) + combined_letter = ( + primary["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_detected"] + + replica["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_detected"] + ) + assert combined_space == 1 + assert combined_letter == 1 + assert combined_space != 0 + assert release_transform_registry().rules == () diff --git a/tests/test_cycle8_mix_evidence.py b/tests/test_cycle8_mix_evidence.py new file mode 100644 index 00000000..046a14b7 --- /dev/null +++ b/tests/test_cycle8_mix_evidence.py @@ -0,0 +1,155 @@ +import json +from pathlib import Path + +from fuckmark.cycle8.compare import ( + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_LETTER_ALT_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, +) +from fuckmark.cycle8.decision import PROMISING_DEVELOPMENT +from fuckmark.cycle8.mix_report import CYCLE8_MIX_SCORECARD_VERSION, build_mix_margin_scorecard +from fuckmark.cycle8_mix_hf import CYCLE8_MIX_DETECTOR_VERSION +from fuckmark.hashing import sha256_file, sha256_json +from fuckmark.seeds.ledger import CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_TOPIC +from fuckmark.transforms.registry import release_transform_registry + + +def _load(relative: str) -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) + + +def test_mix_1020000_letter_alt_is_zero_raw_with_wider_margin() -> None: + artifact = _load("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "2538c614a73bed360cdeebdaa60c0fa36ad34cf6995c76a120d49bd1da063ce2" + assert artifact["seed_base"] == 1020000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MIX_PRIMARY_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MIX_DETECTOR_VERSION + assert artifact["detector_access_used_for_selection"] is False + assert artifact["secret_access_used_for_selection"] is False + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + assert identity["raw_watermarked_detected"] == 64 + assert letter["raw_watermarked_detected"] == 0 + assert mix["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert mix["visible_pass_count"] == 128 + assert mix["nfc_watermarked_detected"] == 0 + assert mix["cf_strip_watermarked_detected"] == 0 + assert mix["nfkc_watermarked_detected"] == 0 + assert mix["fail_closed_identity_count"] == 0 + assert float(mix["raw_watermarked_max_score"]) < 0.52 + assert float(letter["raw_watermarked_max_score"]) < 0.53 + assert float(mix["raw_watermarked_max_score"]) < float(letter["raw_watermarked_max_score"]) + assert 0.5570987654320988 - float(mix["raw_watermarked_max_score"]) > 0.04 + decision = _load("evidence/cycle8-mix-1020000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["transformed_arm_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert decision["visible_pass_rate"] == "128/128" + assert release_transform_registry().rules == () + + +def test_mix_1030000_letter_alt_replicates_zero_raw() -> None: + artifact = _load("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "142809783554a890cfd68b80b560295605e068b8e0deede8ea81e3e75358eb95" + assert artifact["seed_base"] == 1030000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MIX_REPLICATION_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MIX_DETECTOR_VERSION + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + assert identity["raw_watermarked_detected"] == 64 + assert letter["raw_watermarked_detected"] == 0 + assert mix["raw_watermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert mix["visible_pass_count"] == 128 + assert mix["nfc_watermarked_detected"] == 0 + assert mix["cf_strip_watermarked_detected"] == 0 + assert float(mix["raw_watermarked_max_score"]) < 0.52 + assert 0.5570987654320988 - float(mix["raw_watermarked_max_score"]) > 0.04 + decision = _load("evidence/cycle8-mix-1030000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["transformed_arm_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert release_transform_registry().rules == () + + +def test_mix_fresh_combined_is_zero_of_128_with_wider_margin() -> None: + primary = _load("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json") + replica = _load("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json") + mix_detected = ( + primary["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_detected"] + + replica["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_detected"] + ) + mix_uw = ( + primary["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_unwatermarked_detected"] + + replica["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_unwatermarked_detected"] + ) + letter_detected = ( + primary["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_detected"] + + replica["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_detected"] + ) + mix_max = max( + float(primary["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_max_score"]), + float(replica["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_max_score"]), + ) + letter_max = max( + float(primary["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_max_score"]), + float(replica["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_max_score"]), + ) + assert mix_detected == 0 + assert mix_uw == 0 + assert letter_detected == 0 + assert mix_max < 0.52 + assert mix_max < letter_max + assert 0.5570987654320988 - mix_max > 0.04 + assert release_transform_registry().rules == () + + +def test_mix_margin_scorecard_is_measurement_not_confirmation() -> None: + scorecard = _load("evidence/cycle8-mix-margin-2026-08-26/scorecard.json") + body = {key: value for key, value in scorecard.items() if key != "scorecard_hash"} + assert scorecard["scorecard_hash"] == sha256_json(body) + assert scorecard["scorecard_hash"] == "cf5db6055bde17ac75a9075406513cd1ddf83eb0b7da70bb4d8a48c07bd82b76" + assert scorecard["algorithm_version"] == CYCLE8_MIX_SCORECARD_VERSION + assert scorecard["confirmation"] is False + assert scorecard["freeze"] is False + assert scorecard["product_authorized"] is False + assert scorecard["release_registry_empty"] is True + assert scorecard["evidence_label"] == "HYPOTHESIS" + assert scorecard["formal_confirmation_readiness"]["ready"] is False + assert scorecard["formal_confirmation_readiness"]["label"] == "NOT_READY" + mix = scorecard["effectiveness"]["fresh_mix"] + letter = scorecard["effectiveness"]["fresh_letter_x1_same_corpora"] + spent = scorecard["effectiveness"]["letter_space_spent"] + assert mix["rate"] == "0/128" + assert mix["raw_watermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert float(mix["max_score"]) < 0.52 + assert float(mix["min_gap_below_threshold"]) > 0.04 + assert letter["rate"] == "0/128" + assert spent["rate"] == "1/128" + local = _load("evidence/cycle8-mix-margin-2026-08-26/local-system.json") + local_body = {key: value for key, value in local.items() if key != "artifact_hash"} + assert local["artifact_hash"] == sha256_json(local_body) + assert local["visible_pass_rate"] == "3/3" + assert local["cli_identity"] is True + rebuilt = build_mix_margin_scorecard(local=local) + assert rebuilt["scorecard_hash"] == scorecard["scorecard_hash"] + assert release_transform_registry().rules == () + sums = ( + Path(__file__).resolve().parents[1] / "evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt" + ).read_text(encoding="utf-8") + root = Path(__file__).resolve().parents[1] / "evidence/cycle8-mix-margin-2026-08-26" + for line in sums.splitlines(): + digest, name = line.split() + assert sha256_file(root / name) == digest + diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 739dfc35..62a7e302 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -13,6 +13,14 @@ CYCLE8_LETTER_BENCHMARK_PRIMARY_TOPIC, CYCLE8_LETTER_BENCHMARK_REPLICATION_SEED_BASE, CYCLE8_LETTER_BENCHMARK_REPLICATION_TOPIC, + CYCLE8_MARGIN_PRIMARY_SEED_BASE, + CYCLE8_MARGIN_PRIMARY_TOPIC, + CYCLE8_MARGIN_REPLICATION_SEED_BASE, + CYCLE8_MARGIN_REPLICATION_TOPIC, + CYCLE8_MIX_PRIMARY_SEED_BASE, + CYCLE8_MIX_PRIMARY_TOPIC, + CYCLE8_MIX_REPLICATION_SEED_BASE, + CYCLE8_MIX_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -22,6 +30,8 @@ assert_new_cycle8_density_generation_seed, assert_new_cycle8_letter_generation_seed, assert_new_cycle8_letter_benchmark_generation_seed, + assert_new_cycle8_margin_generation_seed, + assert_new_cycle8_mix_generation_seed, assert_new_cycle8_scale_generation_seed, assert_seed_not_confirmation_content, global_seed_ledger_hash, @@ -78,6 +88,8 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert len(bases) == len(set(bases)) assert 930000 in bases and 940000 in bases and 950000 in bases and 960000 in bases and 970000 in bases assert 980000 in bases and 990000 in bases + assert 1000000 in bases and 1010000 in bases + assert 1020000 in bases and 1030000 in bases density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) assert density["generated"] is True assert density["scored"] is True @@ -115,3 +127,33 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert_new_cycle8_letter_benchmark_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) with pytest.raises(ValueError, match="confirmation"): assert_new_cycle8_letter_benchmark_generation_seed(830000) + margin_primary = row_for_seed_base(CYCLE8_MARGIN_PRIMARY_SEED_BASE) + assert margin_primary["generation_topic"] == CYCLE8_MARGIN_PRIMARY_TOPIC == "margin robustness development" + assert margin_primary["generated"] is True + assert margin_primary["scored"] is True + assert margin_primary["eligible_for_confirmation"] is False + assert_new_cycle8_margin_generation_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE) + assert_new_cycle8_margin_generation_seed(CYCLE8_MARGIN_REPLICATION_SEED_BASE) + with pytest.raises(ValueError, match="margin"): + assert_new_cycle8_margin_generation_seed(CYCLE8_LETTER_BENCHMARK_PRIMARY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_margin_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_margin_generation_seed(830000) + mix_primary = row_for_seed_base(CYCLE8_MIX_PRIMARY_SEED_BASE) + assert mix_primary["generation_topic"] == CYCLE8_MIX_PRIMARY_TOPIC == "letter mix margin development" + assert mix_primary["generated"] is True + assert mix_primary["scored"] is True + assert mix_primary["eligible_for_confirmation"] is False + assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_PRIMARY_SEED_BASE) + assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_REPLICATION_SEED_BASE) + mix_replica = row_for_seed_base(CYCLE8_MIX_REPLICATION_SEED_BASE) + assert mix_replica["generation_topic"] == CYCLE8_MIX_REPLICATION_TOPIC == "letter mix margin replication" + assert mix_replica["generated"] is True + assert mix_replica["scored"] is True + with pytest.raises(ValueError, match="mix"): + assert_new_cycle8_mix_generation_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE) + with pytest.raises(ValueError, match="frozen"): + assert_new_cycle8_mix_generation_seed(CYCLE8_SCALE_VALIDATION_SEED_BASE) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_mix_generation_seed(830000) From 270c8922bc8566918d80dc81b23920a2e4d09c10 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 19:18:55 +0000 Subject: [PATCH 10/13] Reserve Cycle 8 mix scale seeds 1040000 and 1050000 before generation. Keep the letter-mix 0/128 result as measurement. These seeds are for a wider independent N before any freeze or confirmation. Co-authored-by: Byte271 --- docs/cycle8/seed-ledger.md | 2 ++ docs/seeds.md | 3 +++ fuckmark/cycle8/ledger.py | 22 ++++++++++++++++++- fuckmark/cycle8_hf.py | 8 +++++++ fuckmark/seeds/__init__.py | 8 +++++++ fuckmark/seeds/ledger.py | 21 ++++++++++++++++-- .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_carriers.py | 5 +++++ tests/test_global_seed_ledger.py | 14 ++++++++++++ 10 files changed, 82 insertions(+), 5 deletions(-) diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index fa81388a..91743315 100644 --- a/docs/cycle8/seed-ledger.md +++ b/docs/cycle8/seed-ledger.md @@ -39,5 +39,7 @@ See also `docs/seeds.md`. | 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; not yet generated; not confirmation | +| Mix scale replication | 1050000 | letter mix scale replication | reserved before generation; not yet generated; not confirmation | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index 23a3c991..c934de26 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -15,6 +15,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. They are not yet generated. ## Cycle 8 scale reservation (before generation) @@ -31,6 +32,8 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 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; not yet generated; not confirmation | +| 1050000 | mix scale replication | `letter mix scale replication` | reserved before generation; not yet generated; not confirmation | ## Historical v1 Cycle 8 ledger diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 3c79bb76..8e8a3f0b 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -19,6 +19,10 @@ CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_SEED_BASE, CYCLE8_MIX_REPLICATION_TOPIC, + CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + CYCLE8_MIX_SCALE_PRIMARY_TOPIC, + CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, + CYCLE8_MIX_SCALE_REPLICATION_TOPIC, CYCLE8_LETTER_EXPLORATORY_SEED_BASE, CYCLE8_LETTER_EXPLORATORY_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, @@ -46,6 +50,8 @@ CYCLE8_MARGIN_REPLICATION_ROLE = "margin_robustness_replication" CYCLE8_MIX_PRIMARY_ROLE = "mix_margin_primary" CYCLE8_MIX_REPLICATION_ROLE = "mix_margin_replication" +CYCLE8_MIX_SCALE_PRIMARY_ROLE = "mix_scale_primary" +CYCLE8_MIX_SCALE_REPLICATION_ROLE = "mix_scale_replication" CYCLE8_CONFIRMATION_RESERVED_ROLE = "confirmation_reserved" CYCLE8_EXPLORATORY_SEED_BASE = 890_000 @@ -66,6 +72,8 @@ CYCLE8_MARGIN_REPLICATION_SEED_BASES = (CYCLE8_MARGIN_REPLICATION_SEED_BASE,) CYCLE8_MIX_PRIMARY_SEED_BASES = (CYCLE8_MIX_PRIMARY_SEED_BASE,) 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_CONFIRMATION_RESERVED_SEED_BASES = (830_000, 840_000, 850_000) CYCLE8_EXPLORATORY_TOPIC = "invisible carrier development" CYCLE8_REPLICATION_TOPIC = "invisible carrier replication" @@ -137,6 +145,10 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "mix_primary_topic": CYCLE8_MIX_PRIMARY_TOPIC, "mix_replication_seed_base": CYCLE8_MIX_REPLICATION_SEED_BASE, "mix_replication_topic": CYCLE8_MIX_REPLICATION_TOPIC, + "mix_scale_primary_seed_base": CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + "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, "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), @@ -160,7 +172,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "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. Do not " + "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. Do not " "retune on Cycle 6 formal residuals." ), } @@ -200,6 +214,10 @@ def role_for_seed_base(seed_base: int) -> str | None: return CYCLE8_MIX_PRIMARY_ROLE if seed_base in CYCLE8_MIX_REPLICATION_SEED_BASES: return CYCLE8_MIX_REPLICATION_ROLE + if seed_base in CYCLE8_MIX_SCALE_PRIMARY_SEED_BASES: + 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_CONFIRMATION_RESERVED_SEED_BASES: return CYCLE8_CONFIRMATION_RESERVED_ROLE return None @@ -238,5 +256,7 @@ def ledger_roles() -> Mapping[str, Sequence[int]]: CYCLE8_MARGIN_REPLICATION_ROLE: CYCLE8_MARGIN_REPLICATION_SEED_BASES, CYCLE8_MIX_PRIMARY_ROLE: CYCLE8_MIX_PRIMARY_SEED_BASES, 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_CONFIRMATION_RESERVED_ROLE: CYCLE8_CONFIRMATION_RESERVED_SEED_BASES, } diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index 425d8374..c2b8413f 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -44,6 +44,10 @@ CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_ROLE, CYCLE8_MIX_REPLICATION_TOPIC, + CYCLE8_MIX_SCALE_PRIMARY_ROLE, + CYCLE8_MIX_SCALE_PRIMARY_TOPIC, + CYCLE8_MIX_SCALE_REPLICATION_ROLE, + CYCLE8_MIX_SCALE_REPLICATION_TOPIC, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -181,6 +185,10 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_MIX_PRIMARY_TOPIC if role == CYCLE8_MIX_REPLICATION_ROLE: return CYCLE8_MIX_REPLICATION_TOPIC + if role == CYCLE8_MIX_SCALE_PRIMARY_ROLE: + return CYCLE8_MIX_SCALE_PRIMARY_TOPIC + if role == CYCLE8_MIX_SCALE_REPLICATION_ROLE: + return CYCLE8_MIX_SCALE_REPLICATION_TOPIC raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, letter-benchmark, margin, or mix seeds") diff --git a/fuckmark/seeds/__init__.py b/fuckmark/seeds/__init__.py index 4d5591f6..a48478e8 100644 --- a/fuckmark/seeds/__init__.py +++ b/fuckmark/seeds/__init__.py @@ -15,6 +15,10 @@ CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_SEED_BASE, CYCLE8_MIX_REPLICATION_TOPIC, + CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + CYCLE8_MIX_SCALE_PRIMARY_TOPIC, + CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, + CYCLE8_MIX_SCALE_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -53,6 +57,10 @@ "CYCLE8_MIX_PRIMARY_TOPIC", "CYCLE8_MIX_REPLICATION_SEED_BASE", "CYCLE8_MIX_REPLICATION_TOPIC", + "CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE", + "CYCLE8_MIX_SCALE_PRIMARY_TOPIC", + "CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE", + "CYCLE8_MIX_SCALE_REPLICATION_TOPIC", "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", "CYCLE8_SCALE_EXPLORATORY_TOPIC", "CYCLE8_SCALE_REPLICATION_SEED_BASE", diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index 3ccd8d62..b5d8fc77 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -22,6 +22,8 @@ CYCLE8_MARGIN_REPLICATION_SEED_BASE = 1_010_000 CYCLE8_MIX_PRIMARY_SEED_BASE = 1_020_000 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_SCALE_EXPLORATORY_TOPIC = "carrier scaling" CYCLE8_SCALE_REPLICATION_TOPIC = "independent scale replication" CYCLE8_SCALE_VALIDATION_TOPIC = "clean scale validation" @@ -33,6 +35,8 @@ CYCLE8_MARGIN_REPLICATION_TOPIC = "margin robustness replication" CYCLE8_MIX_PRIMARY_TOPIC = "letter mix margin development" 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" def _row( @@ -108,6 +112,8 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _row(1010000, "cycle8", "margin_robustness_replication", CYCLE8_MARGIN_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 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."), _row(1020000, "cycle8", "mix_margin_primary", CYCLE8_MIX_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. 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."), _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=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Third independent U+034F/U+FE00 letter-mix n=64 for wider-N development. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000."), + _row(1050000, "cycle8", "mix_scale_replication", CYCLE8_MIX_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Fourth independent U+034F/U+FE00 letter-mix n=64. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000."), _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."), @@ -135,7 +141,9 @@ def global_seed_ledger_payload() -> dict[str, object]: "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." + "letter-mix margin follow-up. " + "Seeds 1040000 and 1050000 are reserved for detector-blind letter-mix " + "scale follow-up." ), "confirmation_content_forbidden_seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), "publicly_exposed_unseen_invalid_seed_bases": list(PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES), @@ -161,6 +169,10 @@ def global_seed_ledger_payload() -> dict[str, object]: "cycle8_mix_primary_topic": CYCLE8_MIX_PRIMARY_TOPIC, "cycle8_mix_replication_seed_base": CYCLE8_MIX_REPLICATION_SEED_BASE, "cycle8_mix_replication_topic": CYCLE8_MIX_REPLICATION_TOPIC, + "cycle8_mix_scale_primary_seed_base": CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + "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, "rows": list(rows), } @@ -259,7 +271,12 @@ def assert_new_cycle8_mix_generation_seed(seed_base: int) -> None: 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_MIX_PRIMARY_SEED_BASE, CYCLE8_MIX_REPLICATION_SEED_BASE}: + if seed_base not in { + CYCLE8_MIX_PRIMARY_SEED_BASE, + CYCLE8_MIX_REPLICATION_SEED_BASE, + CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, + }: raise ValueError("seed_base is not a Cycle 8 letter-mix generation seed") if row["eligible_for_confirmation"] is True: raise ValueError("confirmation-reserved seeds must not be used for development") diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index af47a3af..1918febf 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":"dd96976a6a18d63d0d385d9a508c6ae86a0179032f2f5300feb9cc0453454291","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","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. Do not inspect 830000, 840000, or 850000. 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. 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,"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":"583b901e3e5ad1f1840935883897fb53b01337a0281d16b41402af6306c56895","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. Do not inspect 830000, 840000, or 850000. 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. 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 34211087..c126eec1 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_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_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":"ab12059662cc35e056396efd82d5bb778723209f8fe5c2a42c64d3165ead81c1","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. 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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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":false,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Third independent U+034F/U+FE00 letter-mix n=64 for wider-N development. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000.","publicly_exposed":false,"role":"mix_scale_primary","scored":false,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Fourth independent U+034F/U+FE00 letter-mix n=64. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000.","publicly_exposed":false,"role":"mix_scale_replication","scored":false,"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} diff --git a/tests/test_cycle8_carriers.py b/tests/test_cycle8_carriers.py index af7fbf19..dee0a78b 100644 --- a/tests/test_cycle8_carriers.py +++ b/tests/test_cycle8_carriers.py @@ -67,6 +67,9 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert payload["mix_primary_seed_base"] == 1_020_000 assert payload["mix_replication_seed_base"] == 1_030_000 assert payload["mix_primary_topic"] == "letter mix margin development" + 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["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() @@ -80,6 +83,8 @@ def test_cycle8_ledger_freezes_new_seeds_and_blocks_spent_history() -> None: assert_cycle8_development_seed(1_010_000, role="margin_robustness_replication") assert_cycle8_development_seed(1_020_000, role="mix_margin_primary") 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") 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_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 62a7e302..912438fc 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -21,6 +21,10 @@ CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_SEED_BASE, CYCLE8_MIX_REPLICATION_TOPIC, + CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE, + CYCLE8_MIX_SCALE_PRIMARY_TOPIC, + CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, + CYCLE8_MIX_SCALE_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -90,6 +94,7 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert 980000 in bases and 990000 in bases assert 1000000 in bases and 1010000 in bases assert 1020000 in bases and 1030000 in bases + assert 1040000 in bases and 1050000 in bases density = row_for_seed_base(CYCLE8_DENSITY_EXPLORATORY_SEED_BASE) assert density["generated"] is True assert density["scored"] is True @@ -151,6 +156,15 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert mix_replica["generation_topic"] == CYCLE8_MIX_REPLICATION_TOPIC == "letter mix margin replication" assert mix_replica["generated"] is True assert mix_replica["scored"] is True + mix_scale = row_for_seed_base(CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE) + assert mix_scale["generation_topic"] == CYCLE8_MIX_SCALE_PRIMARY_TOPIC == "letter mix scale development" + assert mix_scale["generated"] is False + assert mix_scale["scored"] is False + assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE) + assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE) + mix_scale_replica = row_for_seed_base(CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE) + assert mix_scale_replica["generation_topic"] == CYCLE8_MIX_SCALE_REPLICATION_TOPIC == "letter mix scale replication" + assert mix_scale_replica["generated"] is False with pytest.raises(ValueError, match="mix"): assert_new_cycle8_mix_generation_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE) with pytest.raises(ValueError, match="frozen"): From d4dbf8c23e231758ec2e8dcb7b540dddaa35eafd Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 19:51:01 +0000 Subject: [PATCH 11/13] Record Cycle 8 letter-mix scale 0/256 with a wider detector margin. Seeds 1040000 and 1050000 were reserved before generation. Combined with 1020000 and 1030000, mix is 0/256 raw transformed WM, mix UW 0/256, worst score 0.519522 versus threshold 0.557099. The two-corpus 0/128 scorecard is unchanged. Rebuild that scorecard from the pinned environment file so CI does not import torch. Not confirmation. Co-authored-by: Byte271 --- CHANGELOG.md | 1 + README.md | 4 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 2 + docs/cycle8/letter-mix-margin.md | 9 +- docs/cycle8/seed-ledger.md | 6 +- docs/seeds.md | 6 +- .../README.md | 21 ++++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 23 ++++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../cycle8-mix-margin-2026-08-26/README.md | 4 +- .../SHA256SUMS.txt | 2 +- fuckmark/cycle8/mix_report.py | 17 +-- fuckmark/seeds/ledger.py | 4 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_mix_evidence.py | 111 +++++++++++++++++- tests/test_global_seed_ledger.py | 8 +- 22 files changed, 205 insertions(+), 27 deletions(-) create mode 100644 evidence/cycle8-mix-1040000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-1040000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-1050000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-1050000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json diff --git a/CHANGELOG.md b/CHANGELOG.md index f36227b2..d6918ae6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -20,6 +20,7 @@ - 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, and not a freeze. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index adae2588..c122cc81 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**. Letter-x1 on those same corpora is also 0/128 (max 0.527389). Chromium mix fixtures were pixel-equal on the measured surfaces. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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`. @@ -164,7 +164,7 @@ 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). Neither arm is a release mechanism or formal confirmation. +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). Neither arm is a release mechanism or formal confirmation. ## Reproduce the research environment diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index 1edb3f0f..08472674 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. See `docs/cycle8/letter-mix-margin.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Do not inspect `830000` / `840000` / `850000`. 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. That 0/256 is development scale, not confirmation. See `docs/cycle8/letter-mix-margin.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Do not inspect `830000` / `840000` / `850000`. 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 547db4fa..bf42f329 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -39,6 +39,8 @@ 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, not confirmation. + Not product-authorized. Not confirmation. Formal confirmation readiness is `NOT_READY`. See `docs/cycle8/letter-mix-margin.md`. ## H3-H8 diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md index 90aa96ff..1463d861 100644 --- a/docs/cycle8/letter-mix-margin.md +++ b/docs/cycle8/letter-mix-margin.md @@ -18,6 +18,13 @@ Fresh reserved-before-generation corpora `1020000` n=64 plus `1030000` n=64: - 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. -Formal confirmation readiness: `NOT_READY`. +Formal confirmation readiness: `NOT_READY`. This 0/256 is development scale, not a freeze and not confirmation. diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index 91743315..81974ca1 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. +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. See also `docs/seeds.md`. @@ -39,7 +39,7 @@ See also `docs/seeds.md`. | 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; not yet generated; not confirmation | -| Mix scale replication | 1050000 | letter mix scale replication | reserved before generation; not yet generated; 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 | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index c934de26..70cd1f3a 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -15,7 +15,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re - 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. They are not yet generated. +- 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. ## Cycle 8 scale reservation (before generation) @@ -32,8 +32,8 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 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; not yet generated; not confirmation | -| 1050000 | mix scale replication | `letter mix scale replication` | reserved before generation; not yet generated; 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 | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md new file mode 100644 index 00000000..2ee147ce --- /dev/null +++ b/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md @@ -0,0 +1,21 @@ +# Cycle 8 letter-mix scale detector (seed 1040000, 64 pairs) + +Measurement, not confirmation. Seed `1040000` and topic `letter mix scale development` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | --- | +| identity | 62/64 | 62/64 | 0/64 | 128/128 | 0 | 0.69764 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.23 | 0.54390 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.29 | 0.51952 | + +Closest mix watermarked row geometry only: `cycle8-1040000-29-technical_explanation-watermarked`, 31 insertions, score 0.519522, gap 0.037577 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +Combined with independent mix seeds `1020000` and `1030000`: mix **0/192** raw WM, mix UW **0/192**, worst mix max 0.519522 (gap 0.037577). This 0/192 is development evidence on three reserved-before-generation corpora. It is not formal confirmation and does not consume `830000` / `840000` / `850000`. + +Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..74860aaa --- /dev/null +++ b/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +767ee3ba3324096f9234d74f882a3408a1c966804a9963837408a978b8feeb76 README.md +7540a43b6ac779f9525f242c4f1f86b4854cd3638225bfb3d7f119d921ca6bee decision.json +8b184bdac38eba360b42ab82493110698abe81fddba71b4886d66b4c39c4c732 detector-compare.json diff --git a/evidence/cycle8-mix-1040000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-1040000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..2ecaeb6d --- /dev/null +++ b/evidence/cycle8-mix-1040000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"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-mix-1040000-n64-2026-08-26/detector-compare.json 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This is often more effective than a single letter.\n\n\n3. If possible, use the English language.\n\nI have two main reasons for using a language to describe my research, one is because it makes it easier to understand the concepts of language development","text_sha256":"2d29782465fd95234a69070a9c681c188c78b4f1de918beff9288fbbf87f91cb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1040000-05-technical_explanation-unwatermarked","seed":1040160,"text":" Write a test suite. Create tests for your main idea. See sample code and code and see the rest of this blog post. Use \"python\" to compile your code.\n\nThis article is a continuation of the series 'I' on Python 2's data types and a series of articles on data type research.","text_sha256":"b5876a75fa56648bd040948903672e84a944592d3c4212883a312ee95f9a0a85"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1040000-05-technical_explanation-watermarked","seed":1040160,"text":" Use a list of input parameters to make a simple program.\n\nA single-line document with some input parameters.\n\nA list of input parameters to make a simple program. In a simple program, use the output and the output control modes. This will be useful for making a simple program.\n\nA","text_sha256":"f50c7abd94d90b8a8a394fb6141d6c26927746b46622d1d1112bfec704aebd42"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1040000-06-conversational_prose-unwatermarked","seed":1040192,"text":"\n\nTo keep your own questions in the first place, try using the following vocabulary:\n\n\"This letter was a mess.\"\n\n\"This letter looks like a broken record.\"\n\n\"This letter's not the same as the one you heard.\"\n\n\"I had an accident.\"\n\nYou","text_sha256":"0e83ac4638525559c7afd089ef3f010869cdf966a8cd09e14158110ace17c9a6"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1040000-06-conversational_prose-watermarked","seed":1040192,"text":"\n\nTake care to explain how your message will affect the other person. Be sure that you give your story details and the importance of your story.\n\nYour message must be simple and concise. Include details like, \"I'm a writer and I love you\" and the need for an audience.\n\nIn","text_sha256":"caaf429183b86960566567258da85477086c048b616d141a1fa75870029ee0dc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1040000-07-structured_instructional-unwatermarked","seed":1040224,"text":" Write a short three-step instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete. Make a short ten-step instruction for applying letter mix scale development in an experiment. Use the following code.\n\n(defun set-letter-mix-scale-step () \"","text_sha256":"77678ac0891fd9287a63c26c897d94a53da295a262fea3385e3d2808bde88787"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1040000-07-structured_instructional-watermarked","seed":1040224,"text":" Use a series of step-by-step instructions to apply the result.\n\nUsing a series of step-by-step instructions to apply the result. Use a series of step-by-step instructions to apply the result. Use a series of step-by-step instructions to apply the result.\n\n","text_sha256":"28a6b9e6dbfb56192e28d913264dc5ecf3b921e02e66e03ec21d8b5ca374afbb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1040000-08-general_explanatory-unwatermarked","seed":1040256,"text":" It will make your work easier to understand.\n\nWrite your work in a language that you understand and use frequently. A few sentences can be more detailed and easily understood than a few sentences of a lecture.\n\nWrite concise, well-thought-out and concise sentences. These will make it clear that your work","text_sha256":"304e463a42ab6713e30c97f3a700296ac18d0abb9b8d379778a48ee88747a7c2"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1040000-08-general_explanatory-watermarked","seed":1040256,"text":" For instance, I wrote a study on how to use the letters \"C\" and \"A\" to express different words. I've written about the importance of having \"C\" and \"A\" to signify a lot more than \"I\" and \"W\" and how that was essential for the writing of many of","text_sha256":"fa6bb1748971634b1820f0bdb58ababed0108cfe28d481e46d996c8fba6cc619"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1040000-09-technical_explanation-unwatermarked","seed":1040288,"text":" (See: \"The technical implementation of the system implementation, and the reasons why this fails test cases.\")\n\nThe problem with the implementation of a system is that it's not always clear what a failure mode is. It's difficult to know what it is when you only have one failure mode.\n\nIn order","text_sha256":"838534867c291298f04b271ecdce12ede545c56c265a7a675f6fb1cc3adaba0b"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1040000-09-technical_explanation-watermarked","seed":1040288,"text":" (A)\n\n(A) Be flexible and adaptable. (B)\n\n(B) Create a good example of the benefits of a good mix. (C) Provide a model of the mix's performance. (D)\n\n(D) Provide a way to describe how the mix performs.","text_sha256":"0c03529d842fb2b77e3ea4767ddc6c57cbb06e970b3326948687d39fa30d9961"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1040000-10-conversational_prose-unwatermarked","seed":1040320,"text":"\n\nThe average US letter mix is about 5 letters with a single syllable.\n\nThe average US letter mix is about 5 letters with a single syllable. The average letter mix is about 5 letters with a single syllable and the average letter mix is about 5 letters with a single syllable.\n\n","text_sha256":"fdd87f85e8db5013376543dbd52e846c3848d553426ebb36425589193483cf96"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1040000-10-conversational_prose-watermarked","seed":1040320,"text":" Use a general understanding of the text to help you understand the subject matter and the subject matter of your work.\n\nYou can also find this article on the site: \"Letter mix scales\" or \"Why Letters Matter\".\n\nAnd also on the website:\n\nThe author of this article has not made any","text_sha256":"04f57613abee76e4eba0951738f2d65103338f5b8f681d8bc71eaf1f1a73543b"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1040000-11-structured_instructional-unwatermarked","seed":1040352,"text":" For example, try to read your code before you start. Write a short word list on a tape recorder and place it on a desk at your desk. Write your writing in a notebook. Let your brain do its job. Be creative. The more you write, the more you get inspired.\n\nGet in touch","text_sha256":"169fef90c6668c57f7db0527330cd6b1838406fba781a8553ca0a53204278fc3"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1040000-11-structured_instructional-watermarked","seed":1040352,"text":" For a full paper, see:\n\nhttp://www.paraphrases.com/how_to_use_the_code_of_spatial_language.html\n\n[4] The method of applying the first two steps to the first step by first applying the first two step to the","text_sha256":"423ceb0169b80cc0c2145c6b83167d5ac5a0da4b691886ff07e214c6ec18e0e6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1040000-12-general_explanatory-unwatermarked","seed":1040384,"text":"\n\nThe main point in this post is that while there's always something to be said for writing good scientific papers, the only way to make the most of the time that you spend on writing papers is to make sure that you are getting the best possible results for both your paper's authors and the readers.\n\n","text_sha256":"63214c8018c2b3c5d950b52541a8ab6848925909c211758be847d80188c9a60d"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1040000-12-general_explanatory-watermarked","seed":1040384,"text":"\n\nDo not take a hard line on this one.\n\nI've found that the most important things you can do to ensure that your product is well-received is to write concise and well-organized articles on the topic. This will help the product itself become a better product, not just a more valuable one","text_sha256":"6253d98ee428c3c8453c1f7597afd65d07b89c09427db0537f0ae44f1a0203d0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1040000-13-technical_explanation-unwatermarked","seed":1040416,"text":"\n\nExamples\n\nHere are some examples of my experiments.\n\n# The first example shows the exact steps required for the design. The second example shows the test case. # The test case is not defined yet. We need to create a test class with some tests to validate it. The test class must hold","text_sha256":"a62a52d0a68cf311e44b7579ed0c619f2013ec10c36a3b5e6c220ad93780ac67"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1040000-13-technical_explanation-watermarked","seed":1040416,"text":" Use a typical application, such as an HTTP server.\n\nTest your application against a testable test suite.\n\nYou can also write tests for any kind of application. You can write a single test that runs on every different platform and on all different processes. You can write one test that runs on every single","text_sha256":"36b58bf17d5b2f171ab9585283abe69d2a3499ec1badea39293ab084aee192b6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1040000-14-conversational_prose-unwatermarked","seed":1040448,"text":"\n\nWhen people make the same mistake when they read different books, don't let them be confused. The one thing that really matters is how you use words when they come to your table.\n\n1. Know the type of book you're reading and when to read it, because what you're reading isn't","text_sha256":"7b6bccc4e989a35da1ac384a683a0b4794123184419ce6c97276abc27e2b64e8"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1040000-14-conversational_prose-watermarked","seed":1040448,"text":" This helps to keep the audience's attention.\n\nUse the word \"somewhat\" when describing your product or service. It is possible that you are writing a letter to your customers or colleagues that you would like to share with them. This may be used to introduce your product or service in a more personal way","text_sha256":"88c03df3daafcd698814d46a0fabe73afde583c63efb29917e6d4526384f7dd8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1040000-15-structured_instructional-unwatermarked","seed":1040480,"text":" This will also give you a better idea of how to apply the code in practice.\n\nHow to Apply in Practice\n\nTo make it easier to apply the code in practice, you can find a few ideas on how to do it in Python.\n\nLet's start with the simplest example, in which we","text_sha256":"528f4c35a9583fa32c5009f3bb1de1a8b0ef9fdeae8695a849fdca8c9967406e"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1040000-15-structured_instructional-watermarked","seed":1040480,"text":" This is also a good way to introduce a new vocabulary to your students.\n\nThe first step is to apply a simple string of words to the test. For example, a simple text phrase like, \"The girl with the ring is a thief.\" After you apply the second step, your students are in the same","text_sha256":"6e0827e8aabdc207fbe00a803826aa24f9377a2e1bfbb60a25883f7a10c4e5ee"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1040000-16-general_explanatory-unwatermarked","seed":1040512,"text":" Do not repeat the same process over and over. Do not repeat the same piece over and over again. Do not repeat the same piece over and over again. The more you do this, the easier it will be to understand the significance of this change. And if you write a paragraph that contains only three or four lines","text_sha256":"d896867cb6b0be68d08c87ff0877bbbe0675f36bcaacb8044a182f46570fe65c"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1040000-16-general_explanatory-watermarked","seed":1040512,"text":" Do not write a sentence that describes the entire sentence. Rather, write it concisely, and explain why you think it is important.\n\nIf you write this sentence in the most basic way, it will still be as true as it says.\n\nThe importance of clarity\n\nIn writing a sentence you are","text_sha256":"a2f73be654510f099c176d268f81bc47853c6e1845f2a2218b8cf318c5e2cea0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1040000-17-technical_explanation-unwatermarked","seed":1040544,"text":" For example, for a given test and the test suite that the user will run, the validation check is to determine if any of the results in the test suite match the intended results.\n\nWhen a program is tested, you must keep in mind the following rules:\n\nTest the program. Use a test suite","text_sha256":"fd5f0909982d0e88774642eab5963d83a759f407f1dd06492b46b72d4fffc292"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1040000-17-technical_explanation-watermarked","seed":1040544,"text":" For this example, we'll make the following test:\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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51","text_sha256":"c5ff1dad92f4607b02de0249178db07d3cb9eefc3c9a3ca3dc998cb3be6c7bd1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1040000-18-conversational_prose-unwatermarked","seed":1040576,"text":"\n\nWhen a colleague asks why letter mix scale development matters. Use natural conversational prose while keeping the explanation precise. Keep the focus on the topic.\n\nKeep the topic focused. Use simple, actionable explanations.\n\nUse simple, actionable explanations. Use simple, actionable explanations. Take on the","text_sha256":"bdceedca0d24d9c9fc46b5310648f4a034c18bbb9bc5158e50435b2d9f9f22be"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1040000-18-conversational_prose-watermarked","seed":1040576,"text":" This means avoiding the use of word salad.\n\nWhat about the problem of language learning?\n\nLanguage is an incredibly complex subject. We've seen some of the most intricate linguistic models of our times: the ancient Greeks, the Romans, the Greeks, the Persians, and even the Romans. But while some","text_sha256":"41ebb9ff231fb036eff9650934e83175251ce4da593f54e1496aa0ef0dba370e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1040000-19-structured_instructional-unwatermarked","seed":1040609,"text":" You can use words with a few extra notes and do something fun like adding an overline to an acronym.\n\nI'm starting to notice patterns in the way I use letter and string and in some ways I think there's a lot to learn here. It's a very interesting area, and I'm excited to","text_sha256":"a8ff81d6050c3361005092a5604bf55d4e6631f1cc57fa51d801cd52d4696d8e"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1040000-19-structured_instructional-watermarked","seed":1040609,"text":" You'll learn to perform a number of things such as adding words, adding accents, adding a sentence to the end, and adding sentences to the beginning.\n\nYou'll learn to perform a number of things such as adding words, adding accents, adding a sentence to the end, and adding sentences to the beginning.","text_sha256":"d9a4a17cae6c1e318f5f97025793d314a1906079c51ddc9af09e889b5ac84eaf"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1040000-20-general_explanatory-unwatermarked","seed":1040640,"text":" Have a clear definition of what a letter means. Use a few examples from your studies. Do what you need to do for your paper to be successful. It will be much easier to write the whole paper if you give us your input.\n\n4. Create a simple problem\n\nLet's say you have a","text_sha256":"fa3c06e5c6a62f824704c71177794f5bfb53b6d46b7e4c1927b8cf34e7fcd010"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1040000-20-general_explanatory-watermarked","seed":1040640,"text":" Have a clear definition of what the scale is, what it is not, why it matters, and what it does not.\n\nWhat scale does and why does matter?\n\nThe purpose of this book is to help you understand the importance of letters. In this section you will learn a couple of different ways to","text_sha256":"3731542693342172ba867b9628fedc9a6503ad668374e57335fef2bf457031b6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1040000-21-technical_explanation-unwatermarked","seed":1040672,"text":"\n\nFigure 2: Syntax of a 'Letter Mix Scale' Approach\n\nWrite a simple code to demonstrate the effect of a letter mix scale on a letter, and make a decision to use a letter mix scale to test the result.\n\nFigure 3: Syntax of a 'Letter Mix Scale' Approach","text_sha256":"ea9bbf4725192158505b36b9654f5addcafe3ab24704dc940592d2d704f4627c"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1040000-21-technical_explanation-watermarked","seed":1040672,"text":" Use a typical letter mix test (or mix-test) to generate good tests. If you get some errors, send a copy of the tests to the support team.\n\nWrite a summary of the results in a paper. This article will provide a summary of the results and provide a description of the problem.\n","text_sha256":"8f6f9872b7aded876a01a70bf3aaa45e8bb63ef1c9dc99961095c5fc8d6d832a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1040000-22-conversational_prose-unwatermarked","seed":1040704,"text":" It's much more natural. You can learn to write with less than 100 characters.\n\nHow to Write a Letter\n\nIn his book, \"Writing Like a Man,\" Mark Twain wrote about how to write a letter that is concise, concise, and simple. In his words:\n\nI must have the","text_sha256":"7b40207d776f6c3bf6c2b0ff596b3c46d3eae94d338c3e6e112a8887e4f094a5"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1040000-22-conversational_prose-watermarked","seed":1040704,"text":" Use a little bit of the basic vocabulary of the book.\n\nWhat's the best book about this topic? What's the best book about this topic?\n\nLet's start with a brief introduction to the book and follow it with some background on what makes it useful.\n\nThe book starts with a simple","text_sha256":"38fdaf79b090f9fdcde65b169cb829888660be3173c186958ffb0ed6a257822a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1040000-23-structured_instructional-unwatermarked","seed":1040736,"text":" The results are given in the following figure.\n\nAs can be seen, there are many more simple instructions for writing a program. There are four types of instructions:\n\n1. Writing the code\n\n2. Writing the program\n\n3. Writing the program\n\n4. Writing the program\n\n","text_sha256":"d9fe3e8e79a2a29023fa7237072da93d8f10726ca545be82e1dfca7ad82649f5"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1040000-23-structured_instructional-watermarked","seed":1040736,"text":" Use a series of letters and numbers. Then use them to describe your idea. Then work out what to do next.\n\nStep 6: Using a program to work out your question.\n\nIf you're a student, you may know that you can do this by simply talking to someone. You can even make","text_sha256":"363985765a724e182c92562be986e3efe19c2ef633c2ce9dedb380bbb7d7026d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1040000-24-general_explanatory-unwatermarked","seed":1040768,"text":" Then begin by writing one sentence in the subject section of your paper, and then write more in that subject section. (For more on the subject section, see the abstract.)\n\nIf you write two sentences that describe a process that is not related to each other, you may use the \"solving\" method to","text_sha256":"24f53f1467dc3f85d9b1338bef62dcae99d1a4db2a175a8844e1010faa8103ab"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1040000-24-general_explanatory-watermarked","seed":1040768,"text":" Then start by telling the story of your project. What was your project's main goal? What is your main source of inspiration? You may not get all of the answers, but your writing will surely be helpful.\n\nWriting a good story is no easy feat. There are many skills required for successful writing. Here","text_sha256":"d576d948cfbeaa6dca8ffb1331cdab9b87f01e56ee82c7d2dde34e272dcad806"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1040000-25-technical_explanation-unwatermarked","seed":1040800,"text":"\n\nWrite a blog post describing the first experiment with a simple code to use the rest of the paper. Use code samples to show the results. Use the code to explain how the experiments worked.\n\nWrite a blog post about the first failure mode. Use the code to explain how the experiments worked. Design a","text_sha256":"67a9600b5d3027847d846ebb46d17b631d06d749b322bf589dd0ca9c42771109"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1040000-25-technical_explanation-watermarked","seed":1040800,"text":" Use a standard design for a test. If you are using a \"standard\" design, you should define the entire test in a separate document.\n\nWrite a documentation for each element of the test. Use a design that uses a different approach for each. For example, a standard design uses the test in an XML","text_sha256":"65d1059966a444851695fff153d2cfd12560708cd03fbaab1510a9a2d43a1028"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1040000-26-conversational_prose-unwatermarked","seed":1040832,"text":"\n\nA. Use a good vocabulary\n\nMost people can't read well. But you might find you can understand a bit and be able to communicate with others by using a good vocabulary. You can't be a child of the 1980s when you could talk to a bunch of people with your tongue, but you","text_sha256":"bc639137b50613f1dde3342c22dc5a2bdb610831716ad16afd63d7435bd30842"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1040000-26-conversational_prose-watermarked","seed":1040832,"text":" Use a natural language (e.g., English) with a clear and consistent meaning.\n\nThe purpose of this tutorial is to show you how to use a natural language to build your voice. This is a great way to get started as your language learns. If you're new to speech, I'd recommend that","text_sha256":"55c4b82ab304ec7e46a36ec4ba03a1798c5eb75b98b890ec5a0c1bf1dc40488f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1040000-27-structured_instructional-unwatermarked","seed":1040865,"text":"\n\n3. Make a 2-Step Instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete.\n\n4. Create a 2-Step Instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete.\n\n5. Use an","text_sha256":"dfe53511a0677f2f22eb82ef0b1f137a041ea3559db967cdd5b828f388497107"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1040000-27-structured_instructional-watermarked","seed":1040865,"text":"\n\n3. Make it clear that each step is a step in a series of steps that are specific to each step. You don't need to make a whole series of steps that you start with.\n\n4. Use the same examples for all three steps. Remember, you are already working on each step,","text_sha256":"4e0704bf81f17b81112a120904e19e783660b66d9eb22623f6a3fc313fbe8c74"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1040000-28-general_explanatory-unwatermarked","seed":1040896,"text":"\n\nWrite a simple test case\n\nWhen writing a simple test case, use a short sentence or two. Write down what you think will be an important test case. You can write as many test cases as you want to, or you can use several, to give each test case some common ground.\n\n","text_sha256":"235b3fb9362fed644c5fe68629181dc3a179bcbc1bf57841244e2d526308263b"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1040000-28-general_explanatory-watermarked","seed":1040896,"text":" Use a single sentence instead of three. A single sentence may be considered a single sentence if the sentence includes more than one sentence per topic.\n\nExample 3: The word 'solving' can be used in many different contexts.\n\nIt can be used to describe a complex problem or to describe a problem,","text_sha256":"a901aa8dc117a05675edcb33106cd53dd474ef95afbd7287ce4e823d741df987"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1040000-29-technical_explanation-unwatermarked","seed":1040928,"text":" Then write a few more tests.\n\nThe main idea, one failure mode, and one validation check. Then write a few more tests. Explain the process of test execution and how it is done.\n\nDo not attempt to figure out the codebase in a single example. Instead, think about how your code","text_sha256":"7bf849edeff6850f28a0f078207df6e570d341566e70be6e6dfb864c77674264"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1040000-29-technical_explanation-watermarked","seed":1040928,"text":" Then test it.\n\n1.1.1.0.6\n\n2. Testing\n\n2.1.2.0.5\n\n3. Testing\n\n3.1.3.0.4\n\n4. Testing\n\n4.1.1.0.3\n","text_sha256":"af3b099dd91a378a3c882a73f9e15a84043c6212726af327869bda113ec71447"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1040000-30-conversational_prose-unwatermarked","seed":1040960,"text":" And don't confuse \"cognitive writing\" with \"writing a book.\"\n\nI believe this book helps to help you get the job done. It's not just for you and your team, it's for everyone. The books in this list are written by a professional and provide you with valuable tips and tricks for","text_sha256":"6114d8f30ff91d213d22d4215ce6d6bd53b6f8e15695234d9b390809a37611c0"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1040000-30-conversational_prose-watermarked","seed":1040960,"text":" And don't forget to use the right wording for the question.\n\nIn this example, we'll go from being polite to very rude.\n\nLet's say your colleague has a really hard time telling you he hates your word choice and he asks to go over it.\n\nDon't start by asking him","text_sha256":"1d2b23db0ee2a302ce11e2b46429761d7f4651620f94ba48d96779a479db6d4d"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1040000-31-structured_instructional-unwatermarked","seed":1040992,"text":"\n\nMake a short three-step instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete. Use the three-step instruction, making a small addition from a single word, then add it to a sentence.\n\nMake a small addition from a single word, then add","text_sha256":"bffc883d910be480ef296067b117d73b1ea9cf9cae785943f7749fe32589df75"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1040000-31-structured_instructional-watermarked","seed":1040992,"text":" Use a simple and concise grammar and simple sentences to build a sentence.\n\nHow to use the Test Automation Toolbox\n\nHow to use the Test Automation Toolbox\n\nHow to use the Test Automation Toolbox\n\nIn this tutorial we will start with a simple test. If you need more","text_sha256":"ffe05e240ca9e47bf704f1756b7158b5b2c966a72695d0c154181876a1c72af9"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1040000-32-general_explanatory-unwatermarked","seed":1041024,"text":" If you are not familiar with the science of writing and what it means, take a look at this article for a few examples of how to do that.\n\nThere is no easy way to get these three pieces together. You need to start from a solid base, and then add to it as you go.\n","text_sha256":"0b5f2d7a2002aed1fe0ed8c87e80ba2a23ceb4f1e6110e7ba2431973bde29dc2"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1040000-32-general_explanatory-watermarked","seed":1041024,"text":" Use a few paragraphs to explain why your new writing needs more emphasis. Consider adding additional paragraphs that would cover all the relevant concepts in the book. Don't rely on any one of these suggestions.\n\nWrite a coherent statement of your vision for writing. Take time to read the book and identify which words and sentences are","text_sha256":"3b625a6dc0fdeb51b0a96d73a373c9f40d573c9542f7b999932c3d1e27492b46"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1040000-33-technical_explanation-unwatermarked","seed":1041056,"text":" The first step is to create a separate test file and use it to see whether it should be testable against the standard test suite. The second step is to see if the test suite can be optimized to the use a similar or higher standard in comparison.\n\nExample:\n\n#define TEMP 4 #include","text_sha256":"f748406d4a8d4b71ff707351a071501079bb64c812421d64375ffcc9bdb8678e"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1040000-33-technical_explanation-watermarked","seed":1041056,"text":" Create a single-page, single-file file for each test. A single test should be submitted every two weeks, with each entry submitted to the team's GitHub account for review.\n\nCreate a single-page, single-file file for each test. A single test should be submitted every two weeks, with","text_sha256":"d6c5d53a136b7306d168f76be44851d2c031fa1e91447d6b63314b3f60518720"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1040000-34-conversational_prose-unwatermarked","seed":1041088,"text":" Don't use too much detail. Give the reader a good idea of the level of detail.\n\nMake clear that the story is important. Don't just tell an anecdote. Make the story about why the person is being interesting and how to deal with their personality problems.\n\nThe author should not be interested in","text_sha256":"6ff88ccee8a0ee24eccc8fff2c3574956927cca9e28cc1737ef0ced889cbe40d"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1040000-34-conversational_prose-watermarked","seed":1041088,"text":" Don't use too many words. Give the reader a specific question or question and get the answer within the first five minutes of the question. Ask what the listener is saying. Give the reader an easy-to-understand response and explain what the listener is saying. Make the question a question in your head. Use","text_sha256":"8fb5245ded9d231bdcc91cec1a29261d2a7ff90971c6e832e3604c43b7f676d0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1040000-35-structured_instructional-unwatermarked","seed":1041120,"text":" Do not get stuck. This is an example of a technique that is not used in any other context in the game.\n\nStep 4: Take a moment and say \"Good morning\" to yourself. Then repeat the above method over and over.\n\nStep 5: When you are done, set your mind back","text_sha256":"357a8da7fb13bdcc679abbd0f4bbcfd8f644197c9f26655be57ec43fe1f8bd94"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1040000-35-structured_instructional-watermarked","seed":1041120,"text":" Use a series of step-by-step instructions.\n\nStep 1: Use the formula for a letter mixed. Use the formula for a letter mixed.\n\nStep 2: Use the formula for a letter mixed.\n\nStep 3: Use the formula for a letter mixed.\n\nStep 4: Use","text_sha256":"c632da43e9007158e47ba139fb07ea868d5e30930ac50b28ce74c06988f976bb"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1040000-36-general_explanatory-unwatermarked","seed":1041152,"text":"\n\nUse a simple language\n\nWrite a single sentence that will be repeated in a sentence that is in a sentence that you write.\n\nWrite an outline of what you're going to write.\n\nWrite a single sentence that is not a word but a line of text.\n\nWrite a sentence that","text_sha256":"a6a3234a2c400333e4602b794af7879c44502963afe68326ad2a28ecd00ef175"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1040000-36-general_explanatory-watermarked","seed":1041152,"text":" Use a simple but informative example.\n\nWrite a single paragraph without a list. Use a simple but informative example. Write a single paragraph without an explanation. Use a simple but informative example to explain why this particular code is different from the one that makes the most sense.\n\nUse a simple but informative example.","text_sha256":"921afdc84990afd4d132036a591584cf56d0278c1509662ef20180440b3f00fb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1040000-37-technical_explanation-unwatermarked","seed":1041184,"text":"\n\nThe main idea, one failure mode, and one validation check. Build a set of code to test the idea.\n\nBuild a set of code to test the idea. Write an automated test suite.\n\nWrite an automated test suite. Create a test database.\n\nCreate a test database. Test","text_sha256":"21b0c1af3c727081aba0658c692433d3f183dce466356e62bf6e72456a46f77e"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1040000-37-technical_explanation-watermarked","seed":1041184,"text":" Use a list of common bugs that can be addressed by the test suite. Provide a set of code samples. Consider which features were fixed (by using tests). Explain the implementation details, including any tests that were performed. Define the main failure mode. Provide a list of common failures.\n\nB. The Solution","text_sha256":"be2f461a541fd525bd82406b6ec18f5c1996f42314991761fc352a8320ded605"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1040000-38-conversational_prose-unwatermarked","seed":1041216,"text":"\n\nWhen your question is not a \"How did I find this?\" or a \"How do I know\" question, it's time to ask the question. You can do this in a way that doesn't distract you from the other question.\n\nAsk questions on a regular basis. Don't assume that you","text_sha256":"3a6e641fc1496c3d2a9ce4b841ce44d8ac718ec5d50fc705589982985201c517"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1040000-38-conversational_prose-watermarked","seed":1041216,"text":" Use a clear language. Avoid phrases that may sound like they're coming from someplace else. Use a clear, concise way to describe the contents. Use the words \"I\" and \"I.\" Use the context of the conversation. Have good sense of context.\n\n5. Use the appropriate questions. Remember that","text_sha256":"5ad6dfb9ac75ecf76d2ee30bd9bf82c80362b4e54ea683628a816e7e6b12b911"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1040000-39-structured_instructional-unwatermarked","seed":1041249,"text":" Repeat the steps with each step. This may seem an odd requirement, but to complete the step in a simple way, you have to do it in one step. Then you can continue with the steps and you'll have to finish it, right?\n\n4. The step I'm trying to do is use the","text_sha256":"603f9457d1a4b80b4a969315b2ae4de89300af7e93868eb1e7bfd50c56204d1e"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1040000-39-structured_instructional-watermarked","seed":1041249,"text":" Use a series of examples to illustrate the results.\n\nThis simple program teaches the following to a student who was given a simple piece of paper:\n\nThe code:\n\nvar t = new int[4]; var l = new int[6]; l.push(t, 1); l.push","text_sha256":"83224b350cb4150989b1ce6c967653d1271ddbcbd42196352a8c9d745a3df082"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1040000-40-general_explanatory-unwatermarked","seed":1041280,"text":" Write several paragraphs each with a common language definition (for example, a list of terms you like, or a common set of terms you do not). Be concise. Use a clear language such as English or French, for example.\n\n4. Don't get stuck in trying to understand the meaning of two words.","text_sha256":"910ed1ad2e6aaaf7c5d77547e459c9f8ab51551d85a2876ebbfeebd9b7088258"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1040000-40-general_explanatory-watermarked","seed":1041280,"text":" This is how you can write a coherent paragraph on a standard spreadsheet. Your best bet is to get out there and get your hands on this stuff. Don't be a perfectionist.\n\nThe most important thing to do is to build your spreadsheet over time to meet the demands of your needs. The first step is","text_sha256":"4297f82c0b58e6be80baeb9eb5156f50f2aadf1639ff9e83af920a3467779fb5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1040000-41-technical_explanation-unwatermarked","seed":1041312,"text":" You can even define the validation check, and write a nice algorithm to verify that it is successful.\n\nThe final thing to keep in mind is that this is just a simple example. I've created a simple program for this purpose.\n\nThis is a simple example:\n\nclass Example (object): def","text_sha256":"2ded66a99877e30063860ddf0f93e904d9a9b63414136294d7f53b1d2f025419"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1040000-41-technical_explanation-watermarked","seed":1041312,"text":" You can also use the following for describing and defining the problem.\n\n\"Why can't you build a C++ program with a C++ compiler with a C++ template?\"\n\n\"If you don't build a C++ program, what about an actual C++ program?\"\n\n\"C++ is an","text_sha256":"8c78752cf5ff416761fc979acc5812eddfc5eda0f9987594676b18ac1d0ff3cb"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1040000-42-conversational_prose-unwatermarked","seed":1041344,"text":"\n\nWhen using a number of words, a word you've used multiple times may not be the right one to use as a letter.\n\nExamples of how to use a letter as a letter\n\nExample:\n\n1. First name is \"John\"\n\n2. Middle name is \"Mary\"","text_sha256":"d0509ed95233100143bc838e11bb6bf4525b5295782f1e675c93799a84da4d4a"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1040000-42-conversational_prose-watermarked","seed":1041344,"text":"\n\nAs with the word, this is a good thing, because it's easier to write a sentence that fits the subject. If you're like me, it's best to write a letter and then add a little extra detail.\n\nThe trick with writing a letter is to always make sure it's an exact","text_sha256":"cd6cddbfd146eb1325079c07f7d29709bccd69412ff3fb87fec269d0440daccc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1040000-43-structured_instructional-unwatermarked","seed":1041376,"text":"\n\nUse a short two-step instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete. Use an \"X\" sign to define the letter, and the \"Y\" sign to define the letter. Use a short two-step instruction for applying letter mix scale development in","text_sha256":"8b8342798dd8b250cf5d608ce71899a836e3f0462c7aec9462167fb4e99a22c6"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1040000-43-structured_instructional-watermarked","seed":1041376,"text":" This is called a \"tutorial\" or \"Tutorial T-20\" for the purpose of introducing students to the basics of letter mix.\n\n1.1. Introduction to letter mix: Step-by-step\n\nBefore we begin, we need to consider the letter mix of students. Many students start","text_sha256":"35a810c9c845f29895adb6297427851ed8c42c2796e6f8824ec5f35cf7604393"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1040000-44-general_explanatory-unwatermarked","seed":1041408,"text":" Make sure to provide enough clarity and detail to explain why the algorithm is flawed.\n\nWhy are letters the most interesting type of letter?\n\nYou probably already know that letter mixes are extremely useful because they are the most useful type of letter. In general, letters are the most popular type of letter in humans.","text_sha256":"00c4ff402de2f451e0cbe690aaae824bbda46922882c12a02ed0042b8893beee"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1040000-44-general_explanatory-watermarked","seed":1041408,"text":" Make sure you provide a clear explanation. Be sure to include information about the topic as well as in the sentence.\n\nHow to write a concise sentence\n\nYou can write a concise sentence in many ways. Some examples include:\n\nDescribe the subject\n\nDescribe how the study should proceed\n\n","text_sha256":"27c4b343bcebb62b7bf9fd92ee0893abfe15b21d7a129d3ab79156c0458ac057"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1040000-45-technical_explanation-unwatermarked","seed":1041440,"text":" Implement and test the test suite. Determine if a solution should be adopted, and test its correctness, and then consider whether the test suites should be adopted for all software projects.\n\nThe first problem is simple. It is easy to change the main idea in a single test suite. However, the second problem is","text_sha256":"9e626dff592beb16a353a1de85c39b5f6927913520402347e3524a1ea31fc208"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1040000-45-technical_explanation-watermarked","seed":1041440,"text":" Create a model (such as the one above) and then validate it. Assume that the model will be consistent with the main concept. This is important for all sorts of experiments. Use the model as a reference. Use the test case to show how well the data conforms to the main concept. You can then","text_sha256":"d1ca8cfdba610fe748a2a67b41e4626577de1ccc31816362f8f2a50fe7e40c5d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1040000-46-conversational_prose-unwatermarked","seed":1041472,"text":" Ask about the significance of your research.\n\nIn case you don't already know how to write, a couple of books have been released by the University of Washington about how to write in text, and it's not something you can do on your own. The following are some of the tips you should put in your","text_sha256":"e364d203113f857d18af78b7e01e47b7a46c2e56d67693eb3d3e96a87fef602a"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1040000-46-conversational_prose-watermarked","seed":1041472,"text":" This helps to keep the audience aware of important concepts.\n\nLearn to use a non-verbal approach to communicate. This allows you to explain what you're saying and how it helps the listener.\n\nUse non-verbal words for both \"it\" and \"I.\" Non-verbal words for \"I\"","text_sha256":"7b69aed60cff0a95ee0a593d00870342c3943c81acfc30ea7187c8fbf9613e3a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1040000-47-structured_instructional-unwatermarked","seed":1041504,"text":"\n\nStep 2: Write a sentence on your own.\n\nYou'll want to start with your sentence. It should be easy to follow. Try to start with your sentence as soon as you hear the words. You will need to remember a lot of detail and make sure you know exactly what you're trying to","text_sha256":"129fa9098b01e96c8ecbb9a2ff6eae3e0d435d20013cd15194fbfd4003ed53c4"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1040000-47-structured_instructional-watermarked","seed":1041504,"text":" Use a quick, descriptive sentence to explain your point. Try to do the same thing on each step as you would do on any other step. Don't repeat your steps. Try to add or subtract things.\n\n\nI had to do this to get the most out of my new program. It was so fun to","text_sha256":"473850c5c1417a52e446860801cb0776216faa99af6c5186779dbc7bbaf0127b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1040000-48-general_explanatory-unwatermarked","seed":1041536,"text":" Write one or more paragraphs containing a complete list of the following sentence(s) and a complete description of the sentence(s) in a single sentence.\n\n\n1. To solve the problem of writing a coherent sentence, you may choose to use an approach similar to that of an interpreter. This approach is called an","text_sha256":"c03cc092b8d2dc1f4e53fc3e1862f0e71f6c25094d474fa798e2c9892ace3675"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1040000-48-general_explanatory-watermarked","seed":1041536,"text":" Use a simple, clear and concise language for describing the purpose for which the development was intended. This is the case with the \"Kettlebell Build.\" The Kettlebell Build was developed to improve strength, power and power projection.\n\n2. \"Lighter\" than an Sleeveless T-shirt","text_sha256":"d4964fd0dea33be34e743e6ae4b183b4d0cc912091069a09bb4146cfb787c49c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1040000-49-technical_explanation-unwatermarked","seed":1041568,"text":" Then, take a look at each implementation and determine if it meets the testable requirements. If you don't, try one or more of the following approaches.\n\nYou may then want to evaluate your program for various performance and reliability problems. Some people have an idea about how to fix a large number of problems,","text_sha256":"e027c068b1aaaaa8287d029f4a551a97c0037624c68d74eb5914a170bcd6d297"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1040000-49-technical_explanation-watermarked","seed":1041568,"text":" For example, suppose you need to create a list of objects that can be used to generate a list of objects, but only one can be generated at a time, and the list can be processed by a single process.\n\nNow you've defined the basic idea, but you need to create some of the problems.","text_sha256":"b1f799c9276fc095dbdd43626a68eec0d507c22bcefad02db81bac095ac1d44b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1040000-50-conversational_prose-unwatermarked","seed":1041600,"text":"\n\nWrite concise, clean, and concise responses. Use the same syntax and wording used in your first language.\n\nUse the same syntax and wording used in your first language. Make sure to use a verbose language.\n\nWrite concise, clean, and concise responses. Use the same syntax and wording used","text_sha256":"9f9b8496044f52f73fd0201dec379b194a49d876788a2788ce9763a472bd3954"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1040000-50-conversational_prose-watermarked","seed":1041600,"text":"\n\nUse concise, clear writing to set the tone and convey your message.\n\nKeep your topic simple and engaging.\n\nUse the word-based approach, as opposed to using a word-based approach.\n\nUse the word-based approach as opposed to using a word-based approach. The key","text_sha256":"787584b08314eefbaae9613335803a246231c05bcb1255a44fdc1b9120a5ceb2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1040000-51-structured_instructional-unwatermarked","seed":1041632,"text":"\n\nTo learn more, I recommend reading these papers.\n\nThe book The Grammar of Linguistics (1917) is available online.\n\nClick here to order my book:\n\nThe Grammar of Linguistics\n\nLinguistic Themes\n\nTheory and practice:\n","text_sha256":"0fb1b0a7ad40c66dc85b3e64ed48be5bf56c7a9eaef2e22e0ed56cc0ec5542a8"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1040000-51-structured_instructional-watermarked","seed":1041632,"text":" Use a list of words in your sentence that you want to apply later.\n\nWhen writing a sentence, use a list of words that you want to apply later. Use a list of words that you want to apply later.\n\nThis exercise assumes that you are a teacher. As you start writing sentences, get","text_sha256":"318f059e138ad75676ed9e544fe9fdd9075f25987caaf537a5fc0350ee1b52c1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1040000-52-general_explanatory-unwatermarked","seed":1041664,"text":"\n\nThe \"Catch-22\" theory of linear programming has been proven to be true. I believe that a C# program that was designed to do this is essentially linear in design. It doesn't require any special programming skills. The problem is that the code is very complex, and the compiler does it poorly","text_sha256":"2de06cb4bc4413e81651e78005435e3bac86191c95a6466609e939a2962b03cf"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1040000-52-general_explanatory-watermarked","seed":1041664,"text":" Use a clear definition of the term. Describe the key elements of a letter. Explain why you will create a letter mix of letters. How to use the language. Describe the way that you think a letter should sound in the language.\n\nWriting the letter mix is an essential step in a very demanding science","text_sha256":"4b492a37fa375a87460f953029164cb06ccebbf04e83edce7625b6f35f967ecc"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1040000-53-technical_explanation-unwatermarked","seed":1041696,"text":" (See the list of problems described above.) Consider two problems in the design: One is the design of a program that can solve a problem in a predictable way, but then the program fails, and the other problem is that one of the functions has to be called or an assertion fails. The problem is that the function","text_sha256":"50f3cc77f730416b7f25c8f08d63820a894c51d2548e30fa00ae29fac227f6f4"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1040000-53-technical_explanation-watermarked","seed":1041696,"text":" Use a single letter mix. Implement a single validation check. Implement a validation check for different values of the same letter. Implement a single validation check for different values of the same character. Implement a single validation check for a different letter. Implement a single validation check for a different letter. Implement a single validation check for a","text_sha256":"6cfd4b81a8b5add6951491f0ff86da97458cb931a0b426425988e46969288c52"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1040000-54-conversational_prose-unwatermarked","seed":1041728,"text":"\n\nThe last two steps are very important. Keep the topic to a minimum and try to explain to your audience where your ideas are coming from. Keep the audience engaged in the conversation, not just in the subject.\n\nThe third step is simple: make the most of your audience's interest, and then make","text_sha256":"d2e564721ac35c7f05aa602f61400eaf6940fc1dd830f397a5e3b32081dcf85e"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1040000-54-conversational_prose-watermarked","seed":1041728,"text":" Use a clear, concise, and understandable language to guide your questions.\n\nYour responses should be well understood. It might be difficult to understand a letter when you don't understand it. You should write down your thoughts and thoughts of what the letters are like. Use the same words or phrases in different ways. Use","text_sha256":"9125788e3f24ae7792c666b330a278d834c9c43e318ee7f7f31bb4d9b2bd1f8e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1040000-55-structured_instructional-unwatermarked","seed":1041760,"text":"\n\nIn practice, it is helpful to use all the steps you would like to apply in a single step. That way, the result is almost impossible to repeat in a few steps.\n\nStep 1\n\nUse your basic idea of how to apply letter mix scale to an application.\n\nThe first step","text_sha256":"bacb80e525bf3293c8befe013b246e8a590290a4f9531ac4645c64f75e3dc4f3"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1040000-55-structured_instructional-watermarked","seed":1041760,"text":" You will be able to write a sentence that will be repeatable. (Use 2-step instructions for this example: 1-step, 2-step, and 3-step, 3-step, and 4-step.)\n\nStep 3.\n\nStep 4.\n\nStep 5.\n\nStep","text_sha256":"d18720959d8c8a041c5bea41cd014df17dfe18b4739371c5c3807025c9824819"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1040000-56-general_explanatory-unwatermarked","seed":1041792,"text":" Don't write one paragraph too quickly, and do it with good reason.\n\nOne paragraph does not make a whole thing.\n\nWrite a paragraph that has the form: \"I am a physicist. Do you think that I am a physicist? Do you think that I am a scientist? If you think so","text_sha256":"c7ccbc020df6631d6f1beb166c197429fccb0b455372c237e5613680900003cd"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1040000-56-general_explanatory-watermarked","seed":1041792,"text":" Don't waste your time writing a paragraph.\n\n3. The reader is not required to read all of the information in the sentence. The reader is required to read the information in a concise and accessible manner.\n\n4. The reader is not required to read only one sentence. The reader is not required to","text_sha256":"fe1288fd3b4f57810a0bc594bb654412978aa29f924df6b7b841a672d8c0d052"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1040000-57-technical_explanation-unwatermarked","seed":1041824,"text":"\n\n3.1\n\nThe first and last problem in this problem is that the algorithm is very good at finding the perfect blend of letters. It is quite hard to find the perfect letter if you have too many letters. This makes the problem very difficult, because the algorithm is so complex that it is hard to","text_sha256":"37ae560f6f080ccc53fc649702f07249698fe71263c1bffbb2c34ed15164fc2e"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1040000-57-technical_explanation-watermarked","seed":1041824,"text":" Create a test case for each of these test cases.\n\nWrite a test case for each of these test cases. Write the results of each validation check.\n\nWrite the results of each validation check. Make sure all the validation checks are complete.\n\nWrite the results of each validation check. Use the resulting","text_sha256":"41eb7fd5569872b0b81618e619053cd9e06a6203dc080279d5d6eeaa422c912a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1040000-58-conversational_prose-unwatermarked","seed":1041856,"text":" Read each sentence carefully, and if you find that a sentence is too long or too short, ask it to be shorter. If you find that a sentence is too long, just leave it blank and move on. When writing for a business, write sentences in which you don't have a business partner. For example,","text_sha256":"84429b27967e19e5e2fac201ba5800c9bf330f0065961131e3686d1b81fba19a"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1040000-58-conversational_prose-watermarked","seed":1041856,"text":" Don't use a verb or a noun as a baseline or a guideline. Don't use a verb, noun, or pronoun for an interview purpose. A good question can help you answer it correctly.\n\nUse a short explanation of the question, which you know is a good opportunity to get your point across. Be","text_sha256":"d69b91504ee8c2be070af003a68554db257d0a8e6e9c5d083a652827520fee85"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1040000-59-structured_instructional-unwatermarked","seed":1041888,"text":" In this case, we will use 2 letters for the letters: 1 and 2. If you are interested in using 2 letters for the letters, we recommend using 1 letter for each letter. This way, you can think of this as a \"symbolic\" letter, but we are trying to make it simple and","text_sha256":"d341b0ec2de52c085534f051e97326b07044f2d8b1c70e0de4fdc896ad7c6097"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1040000-59-structured_instructional-watermarked","seed":1041888,"text":" Use a letter-mix-to-letter approach to build your own sentence-based learning.\n\nUse a short three-step instruction for applying letter mix scale development in an experiment. Use complete sentences and keep each step concrete. Use a letter-mix-to-letter approach to build your own sentence-based","text_sha256":"013a5d0c917256a28c5d3769e1c4b468b5101effdd832cf312920bcc254c6559"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1040000-60-general_explanatory-unwatermarked","seed":1041920,"text":" Use this template to understand how to write a very simple, concise letter.\n\nWrite one coherent paragraph without a list. Use this template to understand how to write a very simple, concise letter. Write one paragraph in a concise manner. Don't use \"one\" for \"more.\" Instead use \"two.\" Don","text_sha256":"840d1911dec10c7243da1048caece5109a989dc93ef3fec861004f7e5c300286"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1040000-60-general_explanatory-watermarked","seed":1041920,"text":" Use a \"no\" if you're not sure of the type of work to be written and a \"yes\" if you're sure of the composition. Make sure to include a list of the following in your post:\n\nThe language of composition\n\nWhether the composition is written or not.\n\nWhether the","text_sha256":"7de8646a5c439e24feeead0ff18061a56d186b5a6be398f838e5f1c5efcfeb1c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1040000-61-technical_explanation-unwatermarked","seed":1041952,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Explain how an object can be modified, or how to make it so that it is not possible for users to modify its behaviour. Define a set of common constraints for an object, and show how an object is implemented in this way","text_sha256":"83849ce8728549f1c9e05f469d50a0b21f8511e18ac15ac8a3a60ea9227166d4"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1040000-61-technical_explanation-watermarked","seed":1041952,"text":" Use the following steps to ensure that your code behaves like a real program.\n\nStep 1: Create a new project\n\nCreate a new project in a similar way to the one that is used with the sample app. In the example below, we are using a sample project. The first step of the project is","text_sha256":"32d67f8f8974ab1cd1e4e66a130432053f03491116b5c33470bf19899b442efc"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1040000-62-conversational_prose-unwatermarked","seed":1041984,"text":"\n\nI've found that people who spend a lot of time in the office are much more likely to write letters and to write at least 5 pages in a day. They're also less likely to write at 5:00 pm (or less), which will put them at the edge of their writing ability. They may","text_sha256":"2cab482ae67e5a41d338d6152e0da52ce553bae987977d3fefc1c5d6d55598fd"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1040000-62-conversational_prose-watermarked","seed":1041984,"text":" Use a well-written and well-spaced sentence to explain your point. You don't need to write the letter because you already know what it means.\n\nThe best time to write your letter is at lunch time or after a long day of work. After lunch, take your time writing and talking and talking","text_sha256":"512a271852daea04d9c5342934cf7a5007bf98a606442ea69515fe8e7a5deffd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1040000-63-structured_instructional-unwatermarked","seed":1042016,"text":"\n\n2. You can use an English test to see if you can learn the concept of word length.\n\n3. Try the English word length test, and see if you can learn word length.\n\n4. Use the English word length test, and see if you can learn word length.\n\n","text_sha256":"1f6a0f831ae7ce5e4e08aef1b2d57c59c218561cc5543a8aefe66e5c8f1b09ef"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1040000-63-structured_instructional-watermarked","seed":1042016,"text":" Use a list of the letter mix scale inputs to start writing the sentence in the test.\n\nIn this way you can introduce a short sentence of a simple letter and an intermediate sentence of the word to test your vocabulary.\n\nExamples\n\nI used this example to demonstrate the letters I learned in the 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mix scale development","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md new file mode 100644 index 00000000..41663b1f --- /dev/null +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md @@ -0,0 +1,23 @@ +# Cycle 8 letter-mix scale detector (seed 1050000, 64 pairs) + +Measurement, not confirmation. Seed `1050000` and topic `letter mix scale replication` were reserved in `global-seed-ledger-v1` before generation. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 60/64 | 60/64 | 2/64 | 128/128 | 0 | 0.69993 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 186.80 | 0.52746 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 187.29 | 0.51051 | + +Closest mix watermarked row geometry only: `cycle8-1050000-44-general_explanatory-watermarked`, 192 insertions, score 0.510505, gap 0.046593 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +Identity unwatermarked detections are 2/64 on this corpus. Mix unwatermarked detections are 0/64. Identity unwatermarked noise is control noise, not mix leakage. + +Combined with independent mix seeds `1020000`, `1030000`, and `1040000`: mix **0/256** raw WM, mix UW **0/256**, worst mix max 0.519522 from `1040000` (gap 0.037577). This 0/256 is development-scale evidence on four reserved-before-generation corpora. It is not formal confirmation and does not consume `830000` / `840000` / `850000`. The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. + +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 614/1024. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. Do not inspect `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..963b9908 --- /dev/null +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +ae8cec6cc0057e553bab7a70c5f94aa8bcf9c3a149a8d5c7c80e0b7d9127efbc README.md +447c8f609b4b8823b539ca978852e3a40d606b17cd99454dde71296b940cef16 decision.json +4d6bd9701bd616e0e99803401f1a262da4b99de81b7a73ddcb91b523a5ff58b6 detector-compare.json diff --git a/evidence/cycle8-mix-1050000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-1050000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..dbb38c5f --- /dev/null +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":60,"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-mix-1050000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..cf2aa53a --- /dev/null +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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The first sentence should be the best explanation for why a sentence should have no more than one single sentence. The second sentence should be a detailed description of the problem. Use the following sentences. \"The solution to this problem is to","text_sha256":"a6eb51755f0ba50074984903c1276d84213dbd26889466686ecce37619719a0b"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-1050000-00-general_explanatory-watermarked","seed":1050000,"text":" Use a long list of examples, not a list of words. Try to describe a single concept in a coherent, succinct, and understandable way that fits into the larger context. The more detailed and complete the description, the more likely a reader will be to read this book.\n\n1.1 What is a Letter","text_sha256":"cd028cfd21119853e7cb35d5b6bee7d9f1d0b355d43bb5c2b160eab86dff4a3f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-1050000-01-technical_explanation-unwatermarked","seed":1050032,"text":"\n\n5. What is a \"firmware\" of replication?\n\nA software replication is a physical replication of the computer system, or of data or data flows from one source to another. Often, a software replication is referred to as a firmware.\n\nIf you want to find out what a firmware","text_sha256":"9e5f463848a5be1a03e345d8e742840253a49b97e6499d52b522564fe5fe7f00"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-1050000-01-technical_explanation-watermarked","seed":1050032,"text":" Create a model of the problem with a probability of 3.5. Create a validation check using the test case. Check the failure conditions in both cases. If it happens, fix the failing mode and validate the failure. If it does not, modify the validation check. If the test case does not validate the failure,","text_sha256":"09a7568a62c96abccb06648f771bee8ecb2667ebf450d0750cfd60a74d0227e6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-1050000-02-conversational_prose-unwatermarked","seed":1050064,"text":" In a few cases, you can also use words that are easy to understand. For example, the first sentence of the original paper might be an example of the \"I don't know why it's there, but it's there.\"\n\nWhen to Use Natural Language Examples\n\nTo understand how to use natural language","text_sha256":"177edd3630feef3d55505d9fa9786b657e495ca5646af634ddcae0950d31a11f"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-1050000-02-conversational_prose-watermarked","seed":1050064,"text":" In fact, you need to emphasize the importance of your story and the relationship between the reader and the author.\n\n3. Be as thorough in your research as possible. Even if your goal is to understand more than just the writer, if you look at his or her work, you will be able to understand the","text_sha256":"7075c68f7c15b99835e9c7571b993e88751eedbec9a364f73acbe7dc33f1bcab"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-1050000-03-structured_instructional-unwatermarked","seed":1050096,"text":" Make sure to use a sequence of sentences that makes up the complete sentence.\n\nExample 1: Let's say we want to apply a \"two-step\" and \"three-step\" step of replication on the same sentence. In this case, it's not necessary to put words at the end of every sentence","text_sha256":"5d554855069ad60cab0c960af252863dce32943d765f6fbc55837b6006234553"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-1050000-03-structured_instructional-watermarked","seed":1050096,"text":" Make sure the letters are both symmetrical and the letter mix ratio is as close to zero as possible.\n\nStep 1: A sentence with a three-step problem has a length of 50 letters, so write 1 letter to 5 letters and the letter is 5 letters. The remaining words are letters that are not two","text_sha256":"9849db793ba9554c12094c3f17ec351c891d9a380e639419425f5484a288e84e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-1050000-04-general_explanatory-unwatermarked","seed":1050128,"text":"\n\n\nWhat is a letter?\n\nA letter is a text containing a set of three or more digits. The letter is then written in plain Latin or English. It is not a single word. The letter is a single, single-letter phrase with a single, single-digit set of letters.\n\n","text_sha256":"7bb19db31108e47a880bb0fbf8374f96959fc21a18c668d89f4f92a63c21e3c6"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-1050000-04-general_explanatory-watermarked","seed":1050128,"text":" Include links to the relevant papers and reviews of any relevant papers, and use the relevant references for additional citations. This will save the authors of the peer-reviewed paper from having to go through the same process of re-poring, re-listing and re-reviewing the same paper in different ways. If","text_sha256":"7bff104d24f9546a8a4ce5ba596a8f6b3187feb4f3f23f8a4ce566bf3c9258ba"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-1050000-05-technical_explanation-unwatermarked","seed":1050160,"text":" Write a simple, clean, and easy to understand proof of concept.\n\nWrite a simple, clean, and easy to understand proof of concept. Write a proof of concept that you can use to test your software in real world cases.\n\nWrite a proof of concept that you can use to test your software in","text_sha256":"c8ce81af7a898ed1c0006f339375f7d8e98be0ebf60edf3a5980a784701a8493"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-1050000-05-technical_explanation-watermarked","seed":1050160,"text":" Use a simple, clear, and understandable format (e.g., by using the \"example\" label). This format is a good one because it provides a clear way to define the problem. The idea is to use a simple format that is easy to read and understand, and to use it as a template for other","text_sha256":"0c5cfae128e25940a26826b1f92b7202deb203ffd4e8bc949a42df8724cdd226"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-1050000-06-conversational_prose-unwatermarked","seed":1050193,"text":"\n\nWhen writing, always use the simplest, most common, and most logical explanations.\n\nIn short:\n\nWhy not use the simplest, most common, and most logical explanations?\n\nWhy not use the most concise, most succinct, and most logical explanations?\n\nWhy not use the best explanations","text_sha256":"e75c770eb6b4de12dd5ec8be8c8637265180de1bb17259c46a7a27545448e810"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-1050000-06-conversational_prose-watermarked","seed":1050193,"text":"\n\nAs a general rule, the first three letters should contain the same number of words.\n\nThe first letter should be separated by space.\n\nThe second letter should be separated by space.\n\nThe third letter should be separated by space.\n\nThe fourth letter should be separated by space.\n","text_sha256":"6807e29dd5f99b6f9a89ae34412b982bff0ec9763562aff8b8d736a01f238c54"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-1050000-07-structured_instructional-unwatermarked","seed":1050224,"text":"\n\nTo use a \"single\" or \"two\" word with an example, use a word, phrase, and line.\n\nUse a single-word word for the word in question, and use a sentence to show how the word and phrase can interact.\n\nUse a sentence to describe the action in","text_sha256":"f07b2cf59f4ab9560484ab286ebf4c37425f57c495f467fa5449a95ac26e8dbb"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-1050000-07-structured_instructional-watermarked","seed":1050224,"text":" Set up the experiments to use different sample sizes.\n\nA set of three-step experiments will be used to create a new set of three-step experiments. It's also important to set up the experiments on different days.\n\nThe first experiment can be used to test the effect of an effect, or if","text_sha256":"fbd8a06b7a2c942e48d05419052f146cb4aeff073af5884651fbab0110efd316"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-1050000-08-general_explanatory-unwatermarked","seed":1050256,"text":" Write a concise description of the research paper and, if possible, its impact.\n\nWrite a concise description of the research paper and, if possible, its impact. Write a summary. Write a short summary of the work.\n\nWrite a summary of the work. Write a brief summary of the paper. Include","text_sha256":"45768488733060ba92b823895b6e48fee1642e1e93d64f10d1992438a49ac67f"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-1050000-08-general_explanatory-watermarked","seed":1050256,"text":" Write one sentence with a list.\n\nWhy letter mix scale replication matters in careful scientific work. Write one coherent paragraph without a list. Write one sentence with a list. Why letter mix scale replication matters in careful scientific work. Write one coherent paragraph without a list. Write one sentence with a list. Why letter mix","text_sha256":"0737f79db96d239abaabf3ed4c76a89b575837cbeda3e2b6cc2a8a214b2f2e1d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-1050000-09-technical_explanation-unwatermarked","seed":1050288,"text":" A typical failure mode is replication with two test replicates. An example is to replicate the same test with two test replicates.\n\nA typical failure mode is replication with two test replicates. An example is to replicate the same test with two test replicates. A validation check is used to verify that all tests","text_sha256":"e8386e30832d9043a294e8824db1a46222de5761b12053853a9cdc6db4a47836"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-1050000-09-technical_explanation-watermarked","seed":1050288,"text":" A failure mode in software experiments is a testing error if either the system fails to respond to a test or does not respond to a validation check. In this paper, we are going to show a simple test that makes a test error. We use the following algorithms to simulate a test error:\n\nIn a test that","text_sha256":"eb25e19b0c4cd734190bac23c7618cf813e2db1a79c93c98424a8e50c84b052e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-1050000-10-conversational_prose-unwatermarked","seed":1050320,"text":"\n\nThe more words you use, the more likely your message is to convey.\n\nTry reading some examples, and remember that writing a letter is an activity of a different scope, and that if you read too much, you'll get too much.\n\nThe best way to understand how the letter mix is","text_sha256":"5c9386764d001fe2d90fa8d502d941b4ccf1ce2eb3489f248c0f72699bcae0f7"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-1050000-10-conversational_prose-watermarked","seed":1050320,"text":" Use a more formal approach.\n\nFor more information on the C-SPAN and its use cases, see the C-SPAN FAQ and the C-SPAN FAQ.\n\nFor more information on C-SPAN and its use cases, see the C-SPAN FAQ and the C-SP","text_sha256":"d568bad9087e7feebba23023723a70908cdc6054ba9436b90e82254533246686"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-1050000-11-structured_instructional-unwatermarked","seed":1050352,"text":" A simple sentence that you write down on the paper and add to your computer. Be sure to add the word 'solution' to the end of the sentence.\n\nWhen it comes to the effects of the sentence in the study, we have seen that the effects of the letter and the solution are very similar.","text_sha256":"62e1735eb1afce04e4dfd76d4aae54e94130bbea2c66ff41622e7e16b84f4860"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-1050000-11-structured_instructional-watermarked","seed":1050352,"text":" You'll find many different combinations of the steps with different results. It will be easy to show and take with just a few examples.\n\nActions\n\n1) Set the test on paper. The test may take one or two days to complete.\n\n2) Run the test with a single test run","text_sha256":"7900ba2a8a3d2c727a8ef02478a6c8783f3b62fae87cc872b317086ccd40d0d7"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-1050000-12-general_explanatory-unwatermarked","seed":1050384,"text":"\n\n2. Make it simple for you\n\nIf you're working on a project that has a single or multiple component, you might want to consider taking one of the approaches listed above, and putting the code of each component in an interactive fashion.\n\nFirst, open your browser window. In the menu bar","text_sha256":"bb1908a6a49ae6258e978bb1cb93132fbf41227abc572dcdad7842e13848fbce"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-1050000-12-general_explanatory-watermarked","seed":1050384,"text":" Create a concise introduction to the relevant literature.\n\nWriting in plain English why letter mix scale replication matters in careful scientific work. Write one coherent paragraph without a list. Create a concise introduction to the relevant literature. Write in the first sentence of a manuscript, preferably as a text document, with your subject and an explanation","text_sha256":"92289b15cd58a349c79ca0d3a44658cb525088cf351255326dabf3eb3e401d03"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-1050000-13-technical_explanation-unwatermarked","seed":1050416,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Define the main idea of the experiment. Define the main idea of the experiment.\n\nDefine the main idea of the experiment. Define the main idea of the experiment.\n\nDefine the main idea of the","text_sha256":"0afe7c961b005f889d7682626fd6e2b180719bb623751ff67e8103073fd4073c"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-1050000-13-technical_explanation-watermarked","seed":1050416,"text":"\n\nFigure 1: Example of how a letter mix scale replication experiment works.\n\nFigure 2: Example of how a letter mix replication experiment works.\n\nFigure 3: Example of how a letter mix replication experiment works.\n\nFigure 4: Example of how a letter mix replication experiment works.\n\nFigure","text_sha256":"7af1ffd5a0a8e800a1e5b133a91b9e6292c19e07422c6da1e18721f412b8b558"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-1050000-14-conversational_prose-unwatermarked","seed":1050448,"text":" Do not be distracted by the obvious problems at hand. The real problems are not the letters themselves, but the resulting problems. When you can use any of the letter mix formats, you can be sure that the problems will not be resolved.\n\nYou can use any of the letter mix formats, you can be sure","text_sha256":"d7f67f73986bc6b9705e84813dd7e961290509da753d21976d7aba7def9f7a92"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-1050000-14-conversational_prose-watermarked","seed":1050448,"text":" Don't be afraid to use a sample quote from a given subject in your letter. (For example, I'll have you come up with a hypothetical sentence about a man who is being a bit \"sad\" about his girlfriend.)\n\nBe clear about what you're trying to say.\n\nIt's not","text_sha256":"67bd725b7fb5245743b233cce936a38a97271246941a11f3af205c6c28bbcd6e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-1050000-15-structured_instructional-unwatermarked","seed":1050480,"text":" Try to do all of the work in one step.\n\nTry to do all of the work in one step. Use an input sequence that you can repeat or re-create over time.\n\nThat's it!\n\nYou've built a system that works for you, but doesn't allow you to make","text_sha256":"734aaa5dbd22a26f4f9bc9ed25e34c2c19fffdbfd2d5b6ec7f04de86490d2a86"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-1050000-15-structured_instructional-watermarked","seed":1050480,"text":" Try to maintain consistency in the sentence.\n\nApply a final test sentence to a specific sentence:\n\nWe are going to repeat a part of the word, and we are going to do something different. Let's try to do something different for each sentence.\n\nTry to keep the sentence in the sentence at","text_sha256":"f3eafb179fb7af7b51bf9c25fecc54b5baccb4ed715eababf4a301e0f93777d4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-1050000-16-general_explanatory-unwatermarked","seed":1050512,"text":"\n\nThe letter mix scale is a statistical measure of the number of letters in a text. It is a measure of the number of words in a single paragraph. The size of the letters in a single line in a text is the number of the letters in a single line in all possible output lines.\n\nThe","text_sha256":"5fe54b5e950a78ae97d9a524756f999b25a58fb60a3618a587dcb7e64c0193d8"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-1050000-16-general_explanatory-watermarked","seed":1050512,"text":"\n\nUse an open-source paper journal, including paper reviews, peer-reviewed journals and abstracts. These journal articles can be published in peer-reviewed journals, but also in book or journal articles.\n\nUse open-source, online databases, or open-source software to develop and verify the data you","text_sha256":"f1476b0ea81a585c9043de1c82603f6d8b91bb5685bd6add3d8b3f369a357cdd"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-1050000-17-technical_explanation-unwatermarked","seed":1050544,"text":" This works in both cases.\n\nA main idea that I have heard from many developers is that the proof of concept is not a simple algorithm. It's not a simple code, it's an algorithm for creating a proof of concept. You can do this for almost any type of program, and you can do it","text_sha256":"910acbf54c0dfcd7979a717e4a9a7cbdc8b8105277d20bf5e083ebf3dd2b00e1"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-1050000-17-technical_explanation-watermarked","seed":1050544,"text":" This information can be used as a reference to identify the main idea, validation check, and any additional issues.\n\nA single failure mode should always be defined:\n\nfailure modes:\n\nfailure modes:\n\nfailure modes:\n\nFailure modes:\n\nFailures that are related to","text_sha256":"895fa0ed25d87675e16f9bbc12b48ca38395194686e851a36564b49472ac8753"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-1050000-18-conversational_prose-unwatermarked","seed":1050576,"text":"\n\nIt's important to have a simple and easy to follow structure so that you can be sure you can effectively answer a question. We want to understand the meaning of the question. This is why we choose to use simple punctuation. This means that we don't need to use a lot of punctuation to provide","text_sha256":"200433cc7e344e2b3f7d513e912b43be65c7663e32ed83763a56e8ba2b26918c"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-1050000-18-conversational_prose-watermarked","seed":1050576,"text":" Use a natural conversational prose when writing your replies. Keep a log of the time you spent talking with your colleagues and your reaction. This way you can keep track of what your colleagues were saying.\n\nThe most important thing to do is to look for any errors that are not apparent within your answers and ask how","text_sha256":"00af216ef24f1d1bc4fdf990a9f5615a087d50faffe59e4255f7d2d61c594462"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-1050000-19-structured_instructional-unwatermarked","seed":1050608,"text":"\n\nThis video takes a look at the technique, and a couple of examples of how it works in practice.\n\nThis is the second part of a series I wrote a while ago on how to add a word sequence to a sentence using the \"sequence\" command. If you're a newbie you'll probably","text_sha256":"e13d8eca8f239509258b66a5fb477e18dcec42249e41c459dfe15ede4d62edd1"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-1050000-19-structured_instructional-watermarked","seed":1050608,"text":" Create the following video with the video description:\n\nUsing a Word Sequencer\n\nLet's talk about Word Sequencing. The idea is to use a Word Sequencer to create a sequence of words that contain a sequence of letters.\n\nThe Word Sequencer lets you create the sequences of words you want to","text_sha256":"c6b5982ed15ae7f16f97a42f74d783e90256942f99b71e8991dcbfecb8122a52"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-1050000-20-general_explanatory-unwatermarked","seed":1050640,"text":"\n\nHow to read a letter\n\nFor a list of examples of how to read a letter, see Why do I need to read a letter?.\n\nFor a list of examples of how to read a letter, see Why do I need to read a letter?. Write your sentence in English\n\n","text_sha256":"5f62694a695c7860f6b22ad8f6a1f50d1d8c4f4b32a9fb8b1e0a605d8c13cbf9"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-1050000-20-general_explanatory-watermarked","seed":1050640,"text":" Use a list of your main points. In fact, I prefer to use only one point. Don't be so much of a \"I'm using these points as I'm using your point\" type guy who just wants to write a story.\n\nIn fact, I prefer to use only one point. Don't","text_sha256":"e37dc28274d67489693f1c99c948f869eee0a369f6a5c4aeff5eaf18430fe880"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-1050000-21-technical_explanation-unwatermarked","seed":1050672,"text":" It is an important step towards making your software a success.\n\n3. Create a large database of data\n\nOne of the most important things to do when running your own software experiment is to create a large database of data. If you don't have enough data, then you can't do it. However,","text_sha256":"73f3736eb801b8d8c21b03059289a2dd136addd5528a984bf2d1e94333071177"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-1050000-21-technical_explanation-watermarked","seed":1050672,"text":" You'll also need to know how to use the \"check\" to check if a failure mode was used.\n\nHow to use the \"check\" to check if a failure mode was used. Define the main idea, one failure mode, and one validation check. You'll also need to know how to use","text_sha256":"bb68ab5f1098b2ec0074d170d7e6cef756e1b56dceb6550943bd71dd233283c5"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-1050000-22-conversational_prose-unwatermarked","seed":1050704,"text":" Ask yourself why you are using them.\n\nDo you still find yourself needing to use your letter mix to add the same sentences to your blog post? If so, why? This is a common issue.\n\nLet's say you are a blogger and you find yourself needing to add more sentences to your blog post","text_sha256":"349b4944e6ddc1a46c50e1a6d3aea578035f72fb5b82b020326e996f32f3367e"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-1050000-22-conversational_prose-watermarked","seed":1050704,"text":" For example, a quick test with a simple mix of letters and numbers from different papers will give you a clearer understanding of the problem.\n\nA quick test with a simple mix of letters and numbers from different papers will give you a clearer understanding of the problem. Avoid using a word count that isn't clearly defined.","text_sha256":"5054c296e027bdea5736b9d039030c202d879c65cf6561f9edadbc9ef71e9d45"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-1050000-23-structured_instructional-unwatermarked","seed":1050736,"text":"\n\nYou will notice that you can do things like:\n\nuse the same basic notation to apply letter mix scale replication to a sentence, instead of using a more simplified, more standard notation (e.g., \"C\" or \"D\")\n\nadd a simple second step using a letter mix scale replication","text_sha256":"db40ccb30c3aeb84f6797b3d6c8b1748703006903bc2e213e0da27273fd4c106"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-1050000-23-structured_instructional-watermarked","seed":1050736,"text":" Set all paragraphs to a single word and repeat from beginning to end.\n\nA few things to note about the final step is that each step is a bit different from the last step. A step can be set as long as it is followed by another one. A step can be set as long as it is repeated","text_sha256":"93bab3523988a2a2913d8934462ff1c4c51f6d9d069f37e6510ad979c3012266"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-1050000-24-general_explanatory-unwatermarked","seed":1050768,"text":" This makes it easier to interpret the text and explain the structure of the experiment. You should not have to explain every piece of the experiment in detail. When you explain a piece of the experiment, you are essentially adding the whole thing up. In order to get it to work, you first have to make sure that the","text_sha256":"fa4cbcaa45748c1bfb81da683d159512c601bbc3981d41455853151cf1a44601"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-1050000-24-general_explanatory-watermarked","seed":1050768,"text":" This helps to clarify how to apply your scientific theory to your paper.\n\nThe author of a paper should write a letter to the editor, including your name, and provide a copy of your letter.\n\nPlease check your article carefully. The author should not change your title, cover letter, or any references.","text_sha256":"d5a222782e22cf3d6cdec627dee12e327164b8638918d3ab5964bbc0646b277f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-1050000-25-technical_explanation-unwatermarked","seed":1050800,"text":"\n\nThe main idea, one failure mode, and one validation check. Determine which replication strategy works best for each replication plan.\n\nFigure 1. How to generate a set of replication rules based on a number of different replication rules.\n\nFigure 2. How to generate a set of replication rules based on","text_sha256":"2d826458d717ff0863ef7133cb252e08a6493583148e258a235d10011234b17d"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-1050000-25-technical_explanation-watermarked","seed":1050800,"text":" In this example, we'll start with the simplest example, and then define a test suite. The sample will be used to test the readability of a test suite.\n\nFigure 2. Test suite Example\n\nThe test suite will look like this:\n\n[Test suite Test suite.py]\n\n","text_sha256":"21dc90f22ec3d80edddbd6d7c836e5c0e8d5be8ac03eef9adb6e3633d117f2d3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-1050000-26-conversational_prose-unwatermarked","seed":1050832,"text":"\n\nThe final question:\n\nWhat should I do when my colleague says that I need to do something, and I'm a bit confused by the answer?\n\nIf you're a software engineer, this might be the question you'd like answered by a technical support person.\n\nIt's also possible for","text_sha256":"d74b24cb10efe5445facf8962ecaa7359e3bc160452c01781c1c1f90c02bc62d"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-1050000-26-conversational_prose-watermarked","seed":1050832,"text":" You need to follow the letter as the reader and not just the author.\n\n4. Use language you are familiar with\n\nUse the word \"languages\" as often as possible. Use it to describe the way the person you are talking to thinks about your business. Don't let the word \"languages","text_sha256":"050221dfd44ef6c959334c4715e742b553aac8c7dedf204b36eae9fda3c06dc5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-1050000-27-structured_instructional-unwatermarked","seed":1050865,"text":"\n\nThe first step is to introduce a short sentence to a set of sentences that contain a word or phrase. For example, if the second step is to introduce a sentence that says:\n\nThe sun is green\n\nand we can see the sun,\n\nthen you can add a few words, or","text_sha256":"c1955aadb1a4f653929b8e5512d2a34261a9adbcd8ba71df9dbb8ed443ac7b3c"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-1050000-27-structured_instructional-watermarked","seed":1050865,"text":" Use a list of words in your sentence for each step to make sure it is clear. Write something similar to this to ensure that you understand each step and that it is all possible. Repeat this step for every step, repeating it over and over again. The first step of the sequence will be the most important. Try","text_sha256":"d3e4bc73f14ea83105e0dbee6b8022e7cf6cc9ed8075054a225009993eaab224"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-1050000-28-general_explanatory-unwatermarked","seed":1050897,"text":"\n\nThe problem is that we have a good idea about the replication effects of different kinds of information, like what types of data are given by what kinds of columns, what types of queries are made, and what sort of data are expected to be produced. However, we know that the more complex your data are,","text_sha256":"c8af465d5b7236752cf7a6b6ac6b0fb9b176e7dc798148eb97f014e2b4e6c8d8"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-1050000-28-general_explanatory-watermarked","seed":1050897,"text":"\n\nThis technique is used to test the effects of a combination of letter and letter combinations on the replication of the study.\n\nA more detailed explanation of the methodology is provided in the following page.\n\nLetter and Letter Mix\n\nA letter and a letter mix can be replicated in a single experiment using only","text_sha256":"467e3aa884e6bb9ea20ec114ace4d405baf8f597c9a8b52bb915c2f874d0db56"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-1050000-29-technical_explanation-unwatermarked","seed":1050928,"text":" If the data is not replicated, use a validation check instead. This check can be used when the data is not replicated because the validation check fails.\n\n2.3\n\n3.1\n\n3.2\n\n4.1\n\n5.1\n\n6.1\n\n7.","text_sha256":"0531a8f2cd76b5a72e3d4d936e3cd2a73ca0a73ed13cd61b9a3b4468139e6f57"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-1050000-29-technical_explanation-watermarked","seed":1050928,"text":" Create the paper that describes the failure mode. Create the paper with the main idea in mind. If you have more questions, feel free to ask.\n\nWrite a paper in which all paper is covered.\n\nWrite a paper with a list of papers for review.\n\nWrite a paper that gives a technical","text_sha256":"7748a742ad12eb890b79f56ef946fa80bcb4fc38feb618f80d4ac30b63cb751b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-1050000-30-conversational_prose-unwatermarked","seed":1050960,"text":"\n\nYou can also use this method to show how it's done. Using the letter mix scale, let's say you have two people speaking at the same time, and each of them knows exactly what a letter is. You can use a word-by-word version of the word-by-word version to","text_sha256":"beae9d3981213af3ad65cf051cd096f0abd4d3afd5a494fa9d576267a1e65013"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-1050000-30-conversational_prose-watermarked","seed":1050960,"text":" Use a simple but effective English verb for each sentence.\n\nMake the sentence clear by using a simple but effective English word for each sentence.\n\nUse a simple but effective English word for each sentence.\n\nAdd the following text to the front of the sentence:\n\nThe next sentence in the sentence is","text_sha256":"20f9d5858d429974c8e44caf7d4bbcd09d3e40f99fd4f1d5a198264412ce3d21"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-1050000-31-structured_instructional-unwatermarked","seed":1050992,"text":" For example, \"A\" is a \"B\".\n\nMake a short three-step instruction to apply the letter mix scale replication to an example sentence.\n\nConsider a sentence with two parts:\n\n\"A is the same as A\"\n\n(or sentence with only two parts).\n\nWe","text_sha256":"f5619b088cf30d8294ad0971239d1286f93a8e1dc0820fe4d2ca27452909064d"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-1050000-31-structured_instructional-watermarked","seed":1050992,"text":" For example, a simple sequence of characters followed by a number of words is a great example of linearization.\n\n3.4.3.1.3.3.3.3.3.3.3.3.3.3.3.3.3.3.3.3.","text_sha256":"c5f796d03c66de0e90a0a3b9365593267005ca43a532ab6253c806462f3f1b87"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-1050000-32-general_explanatory-unwatermarked","seed":1051024,"text":"\n\n(Note: Do not read this article as an introduction to how to use this method or an example of how to use it. It is important to understand that this method uses a simple formula, and that any problems can be solved with a different formula, as long as they are solved in one step. This","text_sha256":"ddd1359972d38bddbea833c484ffb163f8e4c003c6f9d688ff03a1c227e329df"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-1050000-32-general_explanatory-watermarked","seed":1051024,"text":" Use a single example in an entire paper. Use a single sentence without a single paragraph. Write one coherent paragraph without a single sentence.\n\nWriting one sentence without a single paragraph is a form of repetition. This is a form of repetition that is not supported by a single sentence.\n\nRationale [ edit","text_sha256":"f10f9a6c225ae7293f4e1db5db6fee08f9cc0e74613178f14f22f9aad0840187"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-1050000-33-technical_explanation-unwatermarked","seed":1051056,"text":"\n\nFor the purposes of the article, we will focus on a problem in software design that we have seen, that has received significant attention in recent years. It is possible to model the problem in software by taking advantage of the problem's failure mode, and by using a simple approach of replication. We call this problem","text_sha256":"71b47f5662a317a011b0318ada080d2df4f50b283a29e015e2df2927d567a1a9"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-1050000-33-technical_explanation-watermarked","seed":1051056,"text":"\n\nFigure 1: A test of a replication procedure using both a single-stage and multiple-stage protocol.\n\nFigure 2: A test of a replication procedure using multiple-stage and single-stage protocols.\n\nFigure 3: A replication procedure in multi-stage and multiple-stage protocols.\n\n","text_sha256":"0839538db26621d91f57a9e1f962c197ce7949430d6bd6ae987a99433a8887a6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-1050000-34-conversational_prose-unwatermarked","seed":1051088,"text":"\n\nWhat's next\n\nThe last couple of years have been fascinating for me. I've been writing about blogging, social media, and social media marketing. I've been working on a project that has been working for years, and I'm excited to be one of the first people to see this. I think","text_sha256":"1b5aa4cb9a298a246feea17adc2c00eeaadde64720eeda6ae1d3bc101fd7cbd9"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-1050000-34-conversational_prose-watermarked","seed":1051088,"text":"\n\nUse a professional speaker to guide you through the entire process, such as a writer who specializes in writing about a specific topic.\n\nTry to explain to your colleague what's going on within a single sentence:\n\nThe problem is that it's not clear. It's hard to see the details.\n","text_sha256":"fff9e76ae6097533023a88049c5e559c5a7fe8cc7728f0385c3a13128e005c55"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-1050000-35-structured_instructional-unwatermarked","seed":1051120,"text":" You may also use a small sample sentence to generate a small sample sentence.\n\nWrite a short three-step instruction for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete. You may also use a small sample sentence to generate a small sample sentence. Write a simple three-step","text_sha256":"9b40741f2571e7ad61cff775ef824a8028f31ff6a5a8c87a9548cd5d550611bb"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-1050000-35-structured_instructional-watermarked","seed":1051120,"text":" You need to know how to use the words for the two actions, not just the first step.\n\nTo test this, take one step at a time and repeat the test.\n\nLet's say you're doing this experiment with the word \"copy.\" You write \"copy\" and add it to the example","text_sha256":"cf1ccaddb212607b7eb8babb4978d2f87766e485b96abe766439dee2c994af94"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-1050000-36-general_explanatory-unwatermarked","seed":1051152,"text":"\n\nThis is the main reason why we use all three levels of replication:\n\nThe level where you use all three levels of replication (in a single project) in a single workbook\n\nThe level where you use all three levels of replication (in a single book) in a single journal.\n\n","text_sha256":"b1e08cd32fe4828b751e1db92406abe3d70cb8edac9dbffd549732387a9eda0f"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-1050000-36-general_explanatory-watermarked","seed":1051152,"text":"\n\nThis is a list of all of the research papers published, in full.\n\nThe full article can be found here: https://www.scientificamerican.com/articles/new-science-says-letter-mix-scale-replication-could-be-a-problem-for","text_sha256":"547433a2984eaffc8de5c72d65d29933091653eb0acf14ff4a10b0586bbc4fe0"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-1050000-37-technical_explanation-unwatermarked","seed":1051184,"text":" It might take a few days, but I'm confident that it will take a few weeks. You can get started with a simple test of your program in the following steps:\n\nRun the Test\n\nOnce you have a test, run it in a separate test-loop. Run the test again (or the","text_sha256":"1b3bdec2afdc079d91c5aa84443eda6af9cabb1b5fa15d3337754e0d0ce48fe1"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-1050000-37-technical_explanation-watermarked","seed":1051184,"text":" Test the failure mode by sending a message to the experimenter, then sending a message to the system.\n\nRecalculate the system failure in a number of ways: by sending a message to the experimenter, sending a message to the system, and sending a message to the system.\n\nWrite a","text_sha256":"d19d9e8c967b9ac25e97ed4b572973c99b82311c32512aef468af57ebc281770"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-1050000-38-conversational_prose-unwatermarked","seed":1051216,"text":"\n\nIt should also be noted that the majority of human languages have no such requirement. This means that a language of the same type in all other languages with the same definition can be used to define a whole language.\n\nThe same is true of many other languages. A language that is so large in the vocabulary","text_sha256":"aef711cb01284d9aa75dfadac98da594e340a7ae4a959777691c311002181680"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-1050000-38-conversational_prose-watermarked","seed":1051216,"text":"\n\nIt should also be noted that it is important to note that the word \"spare\" is often a combination of English, Spanish, and Japanese.\n\nCategorical Conclusions\n\nThe \"spare\" is a word that is used to describe the process of preparing your own words in the context","text_sha256":"a1f1950bacde096d18341ebc5baf3cd145969f3a7a49c97cb9357f082fc53d33"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-1050000-39-structured_instructional-unwatermarked","seed":1051248,"text":" A single sentence is enough to describe your task.\n\nStep 2: Apply a single-step instruction with multiple steps. Use complete sentences and keep each step concrete. A single sentence is enough to describe your task.\n\nStep 3: Repeat the same steps over and over again. Repeat the same steps over and","text_sha256":"f29f93063ba85aaafda79838efe71902567725e8387755ca1831aeb539b44aef"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-1050000-39-structured_instructional-watermarked","seed":1051248,"text":" A single letter combination is the perfect stimulus.\n\nTo measure a single sentence:\n\nThe following graph shows two examples of words with 1 repetition. They both have the same word, and the phrase 'it's easy to say' is written at the bottom.\n\nThe first example shows the same sentence with","text_sha256":"278bcacb70c3b0644c1364c95ec3acfb22b5b7fb9cfb39ade2ea4c76288de257"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-1050000-40-general_explanatory-unwatermarked","seed":1051280,"text":"\n\nMake the first two paragraphs about the same thing, and then write a final paragraph about the same thing that you wrote before. This can give you a clear and coherent view of why the same thing is the same thing. It should also help you remember that the first letter mix scale is not the same thing.","text_sha256":"99b9902e0537c796cd2aedf08e8ac5671a4a7aa7e337f47ad13b4708142fff92"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-1050000-40-general_explanatory-watermarked","seed":1051280,"text":" Let the reader know when you mention something that is important and when you're going to make it clear.\n\nExample: How to be sure you're correct about a single word in a paper.\n\nExample: In a book you don't want to be bothered about, or a word you can't get to","text_sha256":"a29a64513a1fe2bd920550ae4d28f5b9ad2f57eac35514248c0b99686a7f851f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-1050000-41-technical_explanation-unwatermarked","seed":1051312,"text":" Use a simple and generic model to describe a single failure mode. The validation checks are performed via the following commands:\n\n$ python script.py -t test -f 'a:value = 'a:value+' -b 'A:value=.';a:value=.'\n\n$ python","text_sha256":"ddd4888e4bb4f422b96300b4ca74d2547084c007891ffd0cd944f02be4d11f5a"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-1050000-41-technical_explanation-watermarked","seed":1051312,"text":" Use a simple and generic model to determine the expected behavior. Then define validation checks to ensure consistency across the study. Finally, define the test cases and the tests which should be used in the replication. The model should be able to take in the actual results, provide a good estimate of the expected behavior, and help to","text_sha256":"39adbca450130c7cc47338fd36fc9655601c3df06e53784632296b06514ecb76"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-1050000-42-conversational_prose-unwatermarked","seed":1051345,"text":" Write a simple, understandable paragraph of a sentence. Have a good sense of what the reader is asking about the topic and what they want to know. Make sure that your first paragraph is concise and clear. The first paragraph should be easy to read and clear. Make sure you've provided an explanation that explains why the topic","text_sha256":"41e8afbbaf2390779497b546cebe2f26394bb63317f1067d1bb1af0a7ea72c95"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-1050000-42-conversational_prose-watermarked","seed":1051345,"text":" Use a simple but informative presentation that communicates the basics of your project. Use the word \"somewhat\" and \"not\" in the same sentence.\n\nHow to use the Webinar\n\nVisit the Webinar page to view the video.\n\nFollow us on Twitter\n\nLike us on Facebook\n","text_sha256":"255b8736cc9a25a68d6acad6f8260c8a67857561efbbb1da1b3f0116a34220bc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-1050000-43-structured_instructional-unwatermarked","seed":1051376,"text":"\n\nAdd a second step to create a sequence of instructions with the first step repeating at the end. This will create a new sequence of instructions.\n\nCreate a third step for creating a sequence of instructions with the second step repeating at the end. This will create a new sequence of instructions.\n\nAdd the","text_sha256":"3af1b7184e04f9243c1b05055b42cb825e7f42f870f755ca0d768e48ac48b11f"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-1050000-43-structured_instructional-watermarked","seed":1051376,"text":" Use a second line of text to describe the result.\n\nIn this example, we'll add a paragraph to the original sentence (note that this doesn't replace a sentence) which is about how you can use letter mix replication to apply letter mix replication to the original sentence.\n\nHow to use letter mix replication","text_sha256":"a2edc91e012a131f8b9f1a7814e6b1bed1d1bf48a956302cb49fa16a74cdc57f"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-1050000-44-general_explanatory-unwatermarked","seed":1051408,"text":"\n\nWrite an interesting story or an interesting question, and write it in a coherent and concise manner.\n\nWrite a coherent and succinct story.\n\nWrite a compelling new study, and write it in a compelling and concise manner.\n\nWrite a compelling new study, and write it in a compelling and concise","text_sha256":"58616b8617dba3968ca76d95fa7925c9f9cc5030c4eab6753d2151798da075f0"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-1050000-44-general_explanatory-watermarked","seed":1051408,"text":"\n\nUse scientific journals to support scientific knowledge.\n\nThe world needs to learn to recognize and address the fundamental differences between scientific knowledge and the public's knowledge.\n\nResearch papers should be published in journals that are open to the public.\n\nIf you want to write a new paper, the editors should ask","text_sha256":"5da460240e456468967184489171751d560ee27bc57071da69de0c489a19654e"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-1050000-45-technical_explanation-unwatermarked","seed":1051440,"text":"\n\n\nTest the design, implement the implementation, test the design, test the design, and test the design.\n\n\nTest the design, implement the implementation, test the design, test the design, test the design. Define the main design, one failure mode, and one validation check.\n\n\nTest the","text_sha256":"c6dff8f733a4ef89bb78799124d7bed0b3a0dd03ac39e0670d7a5faebc5835e8"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-1050000-45-technical_explanation-watermarked","seed":1051440,"text":" See http://journals.springer.com/content/10.1007/s11199-016-0022-5.full. Abstract: The authors state that they performed two large, high-performance, high-quality, high-quantity, low-latency replication experiments with varying latency of","text_sha256":"3d49aa84b325e5c6ece0b4afcb17e14a92e115445071b35a937bf5dcf334ff49"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-1050000-46-conversational_prose-unwatermarked","seed":1051472,"text":"\n\nIf you can make that work, I'd be very happy.\n\n\"What's the difference between a letter and a tweet?\"\n\nI've never heard of a letter being a tweet, but I've heard of some who have a very simple letter.\n\n\"What's the difference between a","text_sha256":"245b9efc9cdbc45e191ab204e12553759b49424653a5ed8b998fa5a92e226ee2"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-1050000-46-conversational_prose-watermarked","seed":1051472,"text":" Don't use jargon and make it personal.\n\nIn an interview, I was asked to write down my own research findings about letter mix replication. The answer was pretty simple: I think the mix of letters was a key factor for the success of a letter mix. The next day, I started to get more and","text_sha256":"bbdf7ee2930e57bf336a44a27f8d3df75c0f3d396e138cc327ff2dc97a6f6586"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-1050000-47-structured_instructional-unwatermarked","seed":1051504,"text":"\n\nAdd a short three-step instruction for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete. Add a short five-step instruction for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete.\n\nAdd a short ten-step instruction for","text_sha256":"2e480b1e140779110cefdd98cfd655d78632ad7e6b6e14ee427f03812f58087a"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-1050000-47-structured_instructional-watermarked","seed":1051504,"text":"\n\nFigure 1: Complete sentence synthesis.\n\nFigure 2: Complete sentence synthesis with sentence-level replication.\n\nFigure 3: Complete sentence synthesis with sentence-level replication.\n\nFigure 4: Complete sentence synthesis with sentence-level replication.\n\nFigure 5: Complete sentence synthesis with sentence-level replication","text_sha256":"fe4929703d3f8b6e2191a460a1c1a79c8d0b67bbc59b070e65a3cc344ac70a44"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-1050000-48-general_explanatory-unwatermarked","seed":1051537,"text":"\n\n4. Use the original source code of your project and not the original source.\n\nThe purpose of the document is to show you how to create a simple, but effective, way of improving the quality of a project.\n\nIt's helpful to use a lot of text in the document because it's","text_sha256":"5968ef20d836e7e4cf5d4e9c2555eabb147bf3596c6fd9bedc01e9ad1f2f602f"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-1050000-48-general_explanatory-watermarked","seed":1051537,"text":" Use it as a guide, starting with the simplest, most logical way to explain something. It is critical to your work. Don't get stuck on words and definitions.\n\nWhat to Do in A Small Group Meeting\n\nTo make it easier to understand the work, read one of the many articles online.\n","text_sha256":"052508b43529d0b513ac2cb3eac21941e195cb9713ba538eb66f5f09d16780aa"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-1050000-49-technical_explanation-unwatermarked","seed":1051568,"text":" Write a formal specification for the second failure mode. In this way, the first failure mode is less likely to be repeated.\n\nDefine the main idea, one failure mode, and one validation check. Write a formal specification for the second failure mode. In this way, the first failure mode is less likely to","text_sha256":"c799742b48bd81c0303fecb2b724ad2518e4bf5e8d977dccc20daf6aa3cd4680"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-1050000-49-technical_explanation-watermarked","seed":1051568,"text":" Create a database with the most recent results to compare to.\n\nReplace the error with the most recent result. For example, if a user is in the first group, an error message should appear:\n\nFailure message 1: Error message 1: Failed to retrieve the information for the name given for the name","text_sha256":"92c2898df3b43be2d5924dc686bce896f6402e93b7841aa07d8f9d17cb11bb49"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-1050000-50-conversational_prose-unwatermarked","seed":1051600,"text":"\n\nThe book also offers a number of new tools for dealing with social media and its impact on the way you think. The book is also a great reference for new students who want to learn about social media and its impact on the way they engage with it.\n\nThere are also a number of tips that can","text_sha256":"139a43a124d096de7857762bace3ddf67f86bf1fe88028c0552ed5600b689a68"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-1050000-50-conversational_prose-watermarked","seed":1051600,"text":"\n\nUse simple, clean verbs and phrases to help your target audience understand the context.\n\nRemember that you don't need to follow all of the grammar and sentence structure in order to be successful in the interview. For example, if a person is making a strong claim about the quality of their work, they can","text_sha256":"b978099c90e14d6a017bc9d4a61ad16bf4fd71e7ca82e8857e29ebf159bd3ea4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-1050000-51-structured_instructional-unwatermarked","seed":1051632,"text":" This will make it easier to define a set of instructions that are repeated.\n\nIn this program, we are using a 3-step approach. When we perform a letter mixing operation in sequence, we will be able to find and read the letter mix scale. The letter mix scale is a simple set of letters that","text_sha256":"f9c2b2f59e34b557ff4ad4f6c4572beb172e236ea968071926a6e1140ec5abea"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-1050000-51-structured_instructional-watermarked","seed":1051632,"text":" This article will demonstrate how to apply a letter-mix algorithm to your experiments.\n\n4. Make a note of any errors and make sure you understand the problem\n\nLet's say you have a problem with a string of letters and the problem can only be solved by adding an arbitrary number of letters.\n\n","text_sha256":"2ac365710ddec0bea387a756323046cd35e3a226dfe7d749edb73ccf02c8b1ec"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-1050000-52-general_explanatory-unwatermarked","seed":1051664,"text":" If you know what you're talking about, read all the words. It's often hard to know what to say. Read each word carefully, and then write the whole thing down. This can help you avoid over-exaggerating what you're saying, and make you clear to the reader what you mean.\n","text_sha256":"ad01c5832547a0d0a841804cda5e58ac4c4489bcb89d9fe17dc8551ee1918113"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-1050000-52-general_explanatory-watermarked","seed":1051664,"text":" Don't use any particular term or language.\n\nDo not use numbers and percentages as examples of different letter levels. Use different letter levels for different letters in the same document. For example, a paragraph with a letter \"A\" could be written \"A-B\" and a paragraph with an \"A-B","text_sha256":"2c635d886fab1eac1dd6e80e57223b772a3c59e8b8d647f58f2c9b04f71255e4"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-1050000-53-technical_explanation-unwatermarked","seed":1051696,"text":"\n\nIf your test suite is reproducible and reproducible, this might be the right time to start looking at the replication test.\n\nRecognizing a failure\n\nA failure can be hard to spot. But if you're a software engineer, you're likely familiar with how to spot a failure.\n","text_sha256":"5cf841fcc1918da57ee4bd3c58de2b89ec3f6b761388c790f2834a35e25a928f"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-1050000-53-technical_explanation-watermarked","seed":1051696,"text":" Create a small set of tests that measure the reproducibility of the replication. A test set contains only two tests. Create a test set with 100 iterations (in seconds) that can be used to validate the replication. Then add a check that determines if the test suite is reproducible. If it is, then the","text_sha256":"62ef7fb02c3c2f28cab7af22501e905337f024ba875c6e353a0798b2537bce1b"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-1050000-54-conversational_prose-unwatermarked","seed":1051728,"text":" The problem is that the letters are not \"made up\" but simply different (from what they were once), so what are they?\n\nHow do you deal with this problem?\n\nIf your response is \"I can't believe it\", then you're a bit of an expert in this.\n\nAnd","text_sha256":"5ac42495339131a073f6b54a8dfebbc842abce9986c3d078fdb348bc10e9f7ea"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-1050000-54-conversational_prose-watermarked","seed":1051728,"text":" The problem is that it's hard to make a simple sentence-by-sentence analysis.\n\nAs with most things in science, there are some hard problems. The problem is that humans are complex, complex machines. They don't just want complex things to work together, they want to work together perfectly. If","text_sha256":"c2a93412639bcf6487bd50594aad484a07bcbdaab0147d570a9554d9190eb9ca"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-1050000-55-structured_instructional-unwatermarked","seed":1051760,"text":"\n\nA note about the paper. In addition to the paper, I'm also writing up a bunch of articles I've written and found useful, so if you find anything useful or useful, please consider posting it.\n\nThe paper is available on the \"Why We Need to Create a New Generation of Engineers\"","text_sha256":"4767977a5ece794eba8b5ae9881b3712b67d7d268773bae75f8d4a48cf9a6945"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-1050000-55-structured_instructional-watermarked","seed":1051760,"text":" Use a second one to apply the same letter mix scale replication to two different sentences. Use the first one to apply the same letter mix scale replication to three different sentences.\n\nFigure 6.1. Example of letter mix scale replication.\n\nIn Figure 6.1, we show how to use complete sentences and","text_sha256":"0913a9828daf36e5b8a88ec15b31fbe26242841a8ebf5124076b0915d1761dce"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-1050000-56-general_explanatory-unwatermarked","seed":1051792,"text":" Use the appropriate syntax, and a clear and concise description of what constitutes a replication of a original work, to explain what the replication of a new work means.\n\nWrite one coherent paragraph without a list. Use the appropriate syntax, and a clear and concise description of what constitutes a replication of a original work, to","text_sha256":"ea2cf1670e8c2e8437d1592a647ad7438f717877bb91a73f20fc77b087f187e9"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-1050000-56-general_explanatory-watermarked","seed":1051792,"text":" Use a list of all possible combinations of letters to describe all possible combinations.\n\nIn most cases, you have to specify all possible combinations of letters. For example, if you have a list of 100 combinations of letters, and you have the following formulas, you might want to include the following formula:\n\n(","text_sha256":"2927dc2452c0adc816adf63a98de72c184a2c1ac8c2e1b862bdb30a463e9d3a9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-1050000-57-technical_explanation-unwatermarked","seed":1051824,"text":"\n\nIn this section we will learn some basic and more advanced ideas that allow you to create a letter mix replication system in Python 2.7. This is a new version of a popular library called lettermix. In Python 2.7 lettermix.py is used to create letters and numbers. We will introduce you","text_sha256":"7cb3dbe8bc3ebfa83f374d6e0cdf30a2fb69951205ee8916293f8338cb0a974c"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-1050000-57-technical_explanation-watermarked","seed":1051824,"text":"\n\nFigure 1: A test of a replication failure rate test using a 10-letter mixed-messenger message as an example.\n\nFigure 2: A test of a replication failure rate test with three letters mixed-messenger.\n\nFigure 3: A replication failure rate test with three letters mixed-mess","text_sha256":"4aa6808956f65671558a05baeb426aeba23ecc4bca63342eef45aa5c7707ec50"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-1050000-58-conversational_prose-unwatermarked","seed":1051856,"text":" Don't ask the question 'What are the strengths and weaknesses of a letter?' Use the words 'good' and 'bad' to describe what you're trying to describe and what you mean by 'bad'.\n\nHere are a few of the key lessons you can take from working with a variety of different types of","text_sha256":"bc14528af4c3d600dc7ea18b17a2e8e6fe4f86bf40224b0cf6352bc489446ffe"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-1050000-58-conversational_prose-watermarked","seed":1051856,"text":" Don't forget to add as many words as possible to every word. Use your own vocabulary for the whole sentence, even when you're just adding.\n\nIn this case, the answer is yes, but it doesn't mean we should keep trying to \"understand\" the subject line with the use of a different","text_sha256":"b9814e5d5ffd2d18135e856702a7c9fdbec054148a1158db7d6c84cd3e39e2b5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-1050000-59-structured_instructional-unwatermarked","seed":1051888,"text":"\n\n3.4.3 Writing a short sequence of instructions for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete.\n\n3.4.4 Writing a short sequence of instructions for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete.","text_sha256":"e8de29827627f3802ae1db504e9481b54a2671b8ddd76a6470c23b1fe9795705"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-1050000-59-structured_instructional-watermarked","seed":1051888,"text":" Use a letter-mix-sequence algorithm to apply the correct blend to the letters. In a two-step process, use a letter-mix-sequence algorithm to apply the correct blend to the letters. To create a letter-mix-sequence algorithm: first use a perfect letter-mix-sequence","text_sha256":"f23b7fbf3dde79af9ad94a0eb0f62c58bf6b524fb0c50f10e87936fe3a94bba6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-1050000-60-general_explanatory-unwatermarked","seed":1051920,"text":"\n\nIn the case of \"toxicology,\" write two paragraphs with a list of the chemical names in parentheses.\n\nWrite two paragraphs with a list of the chemical names in parentheses.\n\nAdd your own examples.\n\nYou can make the following more complicated, but effective, exercises.\n\nWrite","text_sha256":"558abddc8ef26e919c71fc5cad7826f329baf945910e486439d01a8bdb9cf72a"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-1050000-60-general_explanatory-watermarked","seed":1051920,"text":"\n\nDo not try to be too precise or too detailed. This guide will help you be more accurate in a wide range of situations.\n\nMake the following observations:\n\nThe letter-mix scale is an integral part of the replication process.\n\nThe letter-mix scale is a crucial part of the","text_sha256":"ed796919a9330183290ce42f9667ede3297ee13265572f999a24e82d8dc4328c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-1050000-61-technical_explanation-unwatermarked","seed":1051952,"text":" Then, define the number of failures.\n\nThe first rule is to use one of the following three values to describe the behavior of replication:\n\nfailure mode: (Failure, 1) If successful, the server should reject all messages if they contain a bad attribute. Failure-to-success: 1.","text_sha256":"78b055224a02f4328451154d1c053bc163d53ba6492a4b8541445d3a23367ad9"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-1050000-61-technical_explanation-watermarked","seed":1051952,"text":" Use a data source, such as a database or a Web server, to simulate the replication process.\n\nWrite a single entry in the original data. Use a simple data source like a relational database, an image or a PDF, or a Java database. The information contained in the data is used to predict the data","text_sha256":"1c0f7c34bea2d6c7be0eb285d8bf8b5cddd5f175c30dab5cfb4fde15dbeb07c4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-1050000-62-conversational_prose-unwatermarked","seed":1051984,"text":"\n\n\nYou don't need to copy a word. Just make sure you're using the correct English sentence. The best way to learn these terms is to get a good grasp of the word, and then use these words in a sentence that's clear, concise, and complete. You'll notice that you get better at","text_sha256":"dcd8f03c794133d209d108ac544d0025834f62914e9ac8bdd05b07060c392d18"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-1050000-62-conversational_prose-watermarked","seed":1051984,"text":" Use a clear and concise introduction, which is best for students who will come to know and interact with the topic. You are likely to find that you are reading a very good text.\n\n\n3. Review the book, read the book, and then talk to the author. When you first read the book, you","text_sha256":"33d919ec86cb152843d172086c720934a9143e65d2bd65db7e7f296457abb3f0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-1050000-63-structured_instructional-unwatermarked","seed":1052016,"text":"\n\nThe second part of this class consists of four basic step steps:\n\nStep 1: Apply three-step mix replication in a single-step experiment.\n\nStep 2: Repeat steps 3-4 until the first step is complete.\n\nStep 3: Repeat steps 4-5 for three-step","text_sha256":"17932b61f703f339d24d96eb3cb17c422e44f0052d30986fd98e7f9ef29c2bb1"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-1050000-63-structured_instructional-watermarked","seed":1052016,"text":" Use a simple two-step example.\n\nWrite a short three-step instruction for applying letter mix scale replication in an experiment. Use complete sentences and keep each step concrete. Use a simple two-step example. Write a short three-step instruction for applying letter mix scale replication in an experiment. 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mix scale replication","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-margin-2026-08-26/README.md b/evidence/cycle8-mix-margin-2026-08-26/README.md index 848b42bc..c25146e9 100644 --- a/evidence/cycle8-mix-margin-2026-08-26/README.md +++ b/evidence/cycle8-mix-margin-2026-08-26/README.md @@ -4,6 +4,8 @@ Measurement of the development mechanism `u034f-ufe00-letter-alt-v1`. Not confir Do not collapse this fresh **0/128** into the letter-x1 system benchmark 0/128 or the experimental letter-x1 0/192. Letter-space on seeds `1000000` and `1010000` remains **1/128**. Do not rewrite that 1/128 as zero. +Independent scale seeds `1040000` and `1050000` later measured mix **0/256** with worst max 0.519522 (gap 0.037577). That 0/256 is additional development scale. This scorecard remains the two-corpus 0/128 measurement and is not rewritten. + Formal confirmation readiness: `NOT_READY`. Closest fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). ## Scorecard @@ -72,4 +74,4 @@ Mix is the current strongest product-aligned development result. It is still `HY No. `NOT_READY`. -Reasons: only two independent n=64 corpora; the mechanism is not frozen; `950000` is ungenerated; Mn-strip and default-ignorable-strip remove the carriers; this file is a measurement report, not a confirmation protocol. Do not generate `830000` / `840000` / `850000`. +Reasons: this scorecard covers two independent n=64 corpora; later scale seeds `1040000` and `1050000` exist as additional development evidence and are not part of this hash-pinned scorecard; the mechanism is not frozen; `950000` is ungenerated; Mn-strip and default-ignorable-strip remove the carriers; this file is a measurement report, not a confirmation protocol. Do not generate `830000` / `840000` / `850000`. diff --git a/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt index 9758ae85..eaa436f1 100644 --- a/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt +++ b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt @@ -1,4 +1,4 @@ -53e474eb0017f4d534a027b7d4ae2e18989cc6cf1fbeeb3edaeade9b97e69ffc README.md +87abd76dba0802367ded58c43eb4a69d3f15e63d4846b66a99d640eb353ef0b2 README.md 0cc03ffadd4074e3eb255db206bb7e579ca0501f65298e76b96b5ac13aa2b368 environment.json dcf0f3a5680014a07c447bc71abcfc0b4a1622a7b0523a17b3c345fb9f01ed9c local-system.json bb7090b48954f0ed62962867f8ebf912f10f81bfd39613f37e78a968f022b2f3 scorecard.json diff --git a/fuckmark/cycle8/mix_report.py b/fuckmark/cycle8/mix_report.py index 874535bb..6864214a 100644 --- a/fuckmark/cycle8/mix_report.py +++ b/fuckmark/cycle8/mix_report.py @@ -13,18 +13,18 @@ from .benchmark import ( CYCLE6_THRESHOLD, enrich_detector_artifact, - environment_payload, run_rendering, strip_default_ignorable, strip_nonspacing_marks, ) -from .compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_MIX_ARM_IDS, CYCLE8_U034F_LETTER_ARM_ID +from .compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_U034F_LETTER_ARM_ID from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, apply_letter_alternating_mix CYCLE8_MIX_SCORECARD_VERSION = "cycle8-mix-margin-scorecard-v1" _PRIMARY = Path("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json") _REPLICA = Path("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json") +_ENVIRONMENT = Path("evidence/cycle8-mix-margin-2026-08-26/environment.json") _RENDER_FIXTURES = ( ("short_paragraph", "I do not agree.", True), ("quote_heavy", 'He answered, "They are not finished and we do not agree." Then he left.', False), @@ -199,7 +199,11 @@ def _render_status(local: dict[str, object]) -> dict[str, object]: return summary -def build_mix_margin_scorecard(*, local: dict[str, object]) -> dict[str, object]: +def build_mix_margin_scorecard( + *, + local: dict[str, object], + environment: dict[str, object] | None = None, +) -> dict[str, object]: primary = _load(_PRIMARY) replica = _load(_REPLICA) mix_primary = enrich_detector_artifact(primary, transformed_arm_id=CYCLE8_LETTER_ALT_ARM_ID) @@ -215,11 +219,8 @@ def build_mix_margin_scorecard(*, local: dict[str, object]) -> dict[str, object] float(letter_primary["raw_watermarked_scores"]["max"]), float(letter_replica["raw_watermarked_scores"]["max"]), ) - base_environment = environment_payload() - environment = {key: value for key, value in base_environment.items() if key != "environment_hash"} - environment["algorithm_version"] = CYCLE8_MIX_SCORECARD_VERSION - environment["benchmark_arm_ids"] = list(CYCLE8_MIX_ARM_IDS) - environment_hash = sha256_json(environment) + env = environment if environment is not None else _load(_ENVIRONMENT) + environment_hash = env["environment_hash"] render = _render_status(local) payload = { "algorithm_version": CYCLE8_MIX_SCORECARD_VERSION, diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index b5d8fc77..4bab3bb2 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -112,8 +112,8 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _row(1010000, "cycle8", "margin_robustness_replication", CYCLE8_MARGIN_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 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."), _row(1020000, "cycle8", "mix_margin_primary", CYCLE8_MIX_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. 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."), _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=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Third independent U+034F/U+FE00 letter-mix n=64 for wider-N development. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000."), - _row(1050000, "cycle8", "mix_scale_replication", CYCLE8_MIX_SCALE_REPLICATION_TOPIC, "global-seed-ledger-v1", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Reserved before generation. Fourth independent U+034F/U+FE00 letter-mix n=64. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000."), + _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(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."), diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json index c126eec1..96c346ca 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_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":"4d73b6b2b81aa3293daf5061fe9776f7be2dd0af022f127e5f4008bc922eb3cb","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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":false,"generation_topic":"letter mix scale development","notes":"Reserved before generation. Third independent U+034F/U+FE00 letter-mix n=64 for wider-N development. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000.","publicly_exposed":false,"role":"mix_scale_primary","scored":false,"seed_base":1040000,"spent":false},{"cycle":"cycle8","eligible_as_unseen_validation":false,"eligible_for_confirmation":false,"first_reservation":"global-seed-ledger-v1","generated":false,"generation_topic":"letter mix scale replication","notes":"Reserved before generation. Fourth independent U+034F/U+FE00 letter-mix n=64. Not confirmation. Do not generate 950000. Do not inspect 830000, 840000, or 850000.","publicly_exposed":false,"role":"mix_scale_replication","scored":false,"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} +{"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_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":"e9f40455441587de51c895bc1a6da32bad7cecc3a6a7b09a6018f520f8d93319","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} diff --git a/tests/test_cycle8_mix_evidence.py b/tests/test_cycle8_mix_evidence.py index 046a14b7..69a9ef0c 100644 --- a/tests/test_cycle8_mix_evidence.py +++ b/tests/test_cycle8_mix_evidence.py @@ -10,7 +10,12 @@ from fuckmark.cycle8.mix_report import CYCLE8_MIX_SCORECARD_VERSION, build_mix_margin_scorecard from fuckmark.cycle8_mix_hf import CYCLE8_MIX_DETECTOR_VERSION from fuckmark.hashing import sha256_file, sha256_json -from fuckmark.seeds.ledger import CYCLE8_MIX_PRIMARY_TOPIC, CYCLE8_MIX_REPLICATION_TOPIC +from fuckmark.seeds.ledger import ( + CYCLE8_MIX_PRIMARY_TOPIC, + CYCLE8_MIX_REPLICATION_TOPIC, + CYCLE8_MIX_SCALE_PRIMARY_TOPIC, + CYCLE8_MIX_SCALE_REPLICATION_TOPIC, +) from fuckmark.transforms.registry import release_transform_registry @@ -18,6 +23,14 @@ def _load(relative: str) -> dict[str, object]: return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) +def _assert_sha256sums(relative: str) -> None: + root = Path(__file__).resolve().parents[1] / 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_mix_1020000_letter_alt_is_zero_raw_with_wider_margin() -> None: artifact = _load("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json") body = {key: value for key, value in artifact.items() if key != "artifact_hash"} @@ -153,3 +166,99 @@ def test_mix_margin_scorecard_is_measurement_not_confirmation() -> None: digest, name = line.split() assert sha256_file(root / name) == digest + +def test_mix_1040000_letter_alt_is_zero_raw() -> None: + artifact = _load("evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "46ddefff3200de9d45c919761d3cb4f842b1ffa7f5404542b0aed571cfbbdf7b" + assert artifact["seed_base"] == 1040000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MIX_SCALE_PRIMARY_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MIX_DETECTOR_VERSION + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + assert mix["raw_watermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert letter["raw_watermarked_detected"] == 0 + assert mix["visible_pass_count"] == 128 + assert mix["nfc_watermarked_detected"] == 0 + assert mix["cf_strip_watermarked_detected"] == 0 + assert mix["nfkc_watermarked_detected"] == 0 + assert mix["fail_closed_identity_count"] == 0 + assert float(mix["raw_watermarked_max_score"]) < 0.52 + assert 0.5570987654320988 - float(mix["raw_watermarked_max_score"]) > 0.03 + decision = _load("evidence/cycle8-mix-1040000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["transformed_arm_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert release_transform_registry().rules == () + _assert_sha256sums("evidence/cycle8-mix-1040000-n64-2026-08-26") + + +def test_mix_1050000_letter_alt_is_zero_raw() -> None: + artifact = _load("evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == "157572031cd0d4cbcc26345f3b33e79b5ca7154cc4365c0d62086c7e03e17575" + assert artifact["seed_base"] == 1050000 + assert artifact["pair_count"] == 64 + assert artifact["topic"] == CYCLE8_MIX_SCALE_REPLICATION_TOPIC + assert artifact["algorithm_version"] == CYCLE8_MIX_DETECTOR_VERSION + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + assert mix["raw_watermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert letter["raw_watermarked_detected"] == 0 + assert mix["visible_pass_count"] == 128 + assert mix["nfc_watermarked_detected"] == 0 + assert mix["cf_strip_watermarked_detected"] == 0 + assert mix["nfkc_watermarked_detected"] == 0 + assert mix["fail_closed_identity_count"] == 0 + assert float(mix["raw_watermarked_max_score"]) < 0.52 + assert 0.5570987654320988 - float(mix["raw_watermarked_max_score"]) > 0.04 + assert identity["raw_unwatermarked_detected"] == 2 + decision = _load("evidence/cycle8-mix-1050000-n64-2026-08-26/decision.json") + assert decision["decision"] == PROMISING_DEVELOPMENT + assert decision["transformed_arm_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert release_transform_registry().rules == () + _assert_sha256sums("evidence/cycle8-mix-1050000-n64-2026-08-26") + + +def test_mix_fresh_three_corpus_combined_is_zero_of_192() -> None: + artifacts = [ + _load("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json"), + _load("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json"), + _load("evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json"), + ] + mix_detected = sum(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_detected"] for artifact in artifacts) + mix_uw = sum(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_unwatermarked_detected"] for artifact in artifacts) + mix_max = max(float(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_max_score"]) for artifact in artifacts) + assert mix_detected == 0 + assert mix_uw == 0 + assert mix_max < 0.52 + assert 0.5570987654320988 - mix_max > 0.03 + assert release_transform_registry().rules == () + + +def test_mix_fresh_four_corpus_combined_is_zero_of_256() -> None: + artifacts = [ + _load("evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json"), + _load("evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json"), + _load("evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json"), + _load("evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json"), + ] + mix_detected = sum(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_detected"] for artifact in artifacts) + mix_uw = sum(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_unwatermarked_detected"] for artifact in artifacts) + letter_detected = sum(artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_detected"] for artifact in artifacts) + mix_max = max(float(artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID]["raw_watermarked_max_score"]) for artifact in artifacts) + letter_max = max(float(artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID]["raw_watermarked_max_score"]) for artifact in artifacts) + assert mix_detected == 0 + assert mix_uw == 0 + assert letter_detected == 0 + assert mix_max < 0.52 + assert mix_max < letter_max + assert 0.5570987654320988 - mix_max > 0.03 + assert release_transform_registry().rules == () + + diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 912438fc..3199f443 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -158,13 +158,15 @@ def test_scale_seeds_are_reserved_before_generation() -> None: assert mix_replica["scored"] is True mix_scale = row_for_seed_base(CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE) assert mix_scale["generation_topic"] == CYCLE8_MIX_SCALE_PRIMARY_TOPIC == "letter mix scale development" - assert mix_scale["generated"] is False - assert mix_scale["scored"] is False + assert mix_scale["generated"] is True + assert mix_scale["scored"] is True + assert mix_scale["eligible_for_confirmation"] is False assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_SCALE_PRIMARY_SEED_BASE) assert_new_cycle8_mix_generation_seed(CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE) mix_scale_replica = row_for_seed_base(CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE) assert mix_scale_replica["generation_topic"] == CYCLE8_MIX_SCALE_REPLICATION_TOPIC == "letter mix scale replication" - assert mix_scale_replica["generated"] is False + assert mix_scale_replica["generated"] is True + assert mix_scale_replica["scored"] is True with pytest.raises(ValueError, match="mix"): assert_new_cycle8_mix_generation_seed(CYCLE8_MARGIN_PRIMARY_SEED_BASE) with pytest.raises(ValueError, match="frozen"): From 10b67a9a59afffdcca9bcba785645f200834af0a Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 19:59:15 +0000 Subject: [PATCH 12/13] Freeze Cycle 8 letter-mix and preregister one-shot 0/192 confirmation. Pin u034f-ufe00-letter-alt-v1 as cycle8-mix-freeze-v1 from four independent 0/64 corpora (combined 0/256, worst score 0.519522). Public CLI stays empty. Seeds 830000, 840000, and 850000 are preregistered and not generated. Co-authored-by: Byte271 --- CHANGELOG.md | 3 +- README.md | 4 +- docs/cycle8/README.md | 4 +- docs/cycle8/carrier-research.md | 4 +- docs/cycle8/letter-mix-margin.md | 4 +- docs/cycle8/mix-freeze.md | 37 ++++ docs/cycle8/seed-ledger.md | 2 +- docs/seeds.md | 2 +- fuckmark/cycle8/ledger.py | 6 +- fuckmark/cycle8/mix_freeze.py | 178 ++++++++++++++++++ fuckmark/cycle8_hf.py | 34 +++- fuckmark/cycle8_mix_confirmation_hf.py | 76 ++++++++ fuckmark/seeds/__init__.py | 6 + fuckmark/seeds/ledger.py | 17 +- .../cycle8/fuckmark-cycle8-mix-freeze-v1.json | 1 + .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_mix_freeze.py | 71 +++++++ tests/test_global_seed_ledger.py | 11 ++ 19 files changed, 439 insertions(+), 25 deletions(-) create mode 100644 docs/cycle8/mix-freeze.md create mode 100644 fuckmark/cycle8/mix_freeze.py create mode 100644 fuckmark/cycle8_mix_confirmation_hf.py create mode 100644 specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json create mode 100644 tests/test_cycle8_mix_freeze.py diff --git a/CHANGELOG.md b/CHANGELOG.md index d6918ae6..1aef0acb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -20,7 +20,8 @@ - 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, and not a freeze. +- 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. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index c122cc81..5e936fe3 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. This is still not product-authorized, not confirmation, not a freeze, and not a substitute for generating `950000`. Formal confirmation readiness is `NOT_READY`. Seed `880000` is publicly exposed by closed unmerged PR #98 and is not eligible as unseen validation. See [`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`. It is still not product-authorized. Formal confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. 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). See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`. @@ -164,7 +164,7 @@ 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). Neither arm is a release mechanism or formal confirmation. +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. Formal confirmation is preregistered and not yet generated. ## Reproduce the research environment diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index 08472674..fca0711f 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. That 0/256 is development scale, not confirmation. See `docs/cycle8/letter-mix-margin.md`. Letter-space seeds `1000000` and `1010000` remain 1/128. Do not inspect `830000` / `840000` / `850000`. 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`. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. 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. ## Carrier research -See `docs/cycle8/carrier-research.md` and `docs/cycle8/letter-mix-margin.md`. +See `docs/cycle8/carrier-research.md`, `docs/cycle8/letter-mix-margin.md`, and `docs/cycle8/mix-freeze.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 bf42f329..abeb1f53 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -39,9 +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, not confirmation. - -Not product-authorized. Not confirmation. Formal confirmation readiness is `NOT_READY`. See `docs/cycle8/letter-mix-margin.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`. It is not product-authorized. Confirmation seeds are preregistered and not yet generated. See `docs/cycle8/mix-freeze.md`. ## H3-H8 diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md index 1463d861..2846cb6c 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: `HYPOTHESIS` / `PROMISING_DEVELOPMENT`. Measurement, not confirmation. +Status: frozen as `cycle8-mix-freeze-v1`. Not product-authorized. Confirmation not yet generated. Evidence: [`evidence/cycle8-mix-margin-2026-08-26/`](../../evidence/cycle8-mix-margin-2026-08-26/). @@ -27,4 +27,4 @@ Additional independent scale seeds `1040000` n=64 plus `1050000` n=64, reserved 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. -Formal confirmation readiness: `NOT_READY`. This 0/256 is development scale, not a freeze and not confirmation. +Formal confirmation readiness: freeze recorded as `cycle8-mix-freeze-v1`. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. This 0/256 is development evidence, not the confirmation result. diff --git a/docs/cycle8/mix-freeze.md b/docs/cycle8/mix-freeze.md new file mode 100644 index 00000000..2b314884 --- /dev/null +++ b/docs/cycle8/mix-freeze.md @@ -0,0 +1,37 @@ +# Cycle 8 mix freeze + +Status: frozen development mechanism. Not product authorization. Confirmation not yet generated. + +Freeze identity: `cycle8-mix-freeze-v1` (`specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json`). + +The frozen mechanism is `u034f-ufe00-letter-alt-v1`. It is not in `release_transform_registry()`. `process_text("I do not agree.")` remains unchanged. + +## 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. + +## Confirmation protocol + +Preregistered. Not generated. + +Seeds `830000`, `840000`, and `850000` are reserved for one-shot formal confirmation: 3 x 64 watermarked samples plus matched unwatermarked controls. Generate once under this freeze. Do not rerun looking for zero. Do not retune on residuals. Do not generate `950000`. + +## 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. diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index 81974ca1..709af930 100644 --- a/docs/cycle8/seed-ledger.md +++ b/docs/cycle8/seed-ledger.md @@ -17,7 +17,7 @@ See also `docs/seeds.md`. | 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 | Confirmation reserved. Do not inspect content. | +| 830000, 840000, 850000 | Confirmation reserved. Preregistered for `cycle8-mix-freeze-v1`. Not yet generated. Generate once. | | 890000, 900000, 910000 | Cycle 8 tiny n=4 already generated and scored. Spent as unseen validation. | ## Cycle 8 roles diff --git a/docs/seeds.md b/docs/seeds.md index 70cd1f3a..c1ca1799 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -6,7 +6,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re ## Hard rules -- Do not generate, tokenize, score, or inspect content of confirmation reserves `830000`, `840000`, `850000`. +- Do not generate, tokenize, score, or inspect content of confirmation reserves `830000`, `840000`, `850000` until `cycle8-mix-freeze-v1` confirmation is executed once. - 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. diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 8e8a3f0b..47d108f3 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -174,8 +174,10 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "'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. Do not " - "retune on Cycle 6 formal residuals." + "reserved in global-seed-ledger-v1 before mix scale generation. " + "cycle8-mix-freeze-v1 preregisters 830000, 840000, and 850000 for one-shot " + "mix confirmation; do not generate them until that freeze is committed, " + "and do not retune on Cycle 6 formal residuals." ), } diff --git a/fuckmark/cycle8/mix_freeze.py b/fuckmark/cycle8/mix_freeze.py new file mode 100644 index 00000000..7002105f --- /dev/null +++ b/fuckmark/cycle8/mix_freeze.py @@ -0,0 +1,178 @@ +from __future__ import annotations + +import json +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 ( + CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES, + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + row_for_seed_base, +) +from ..transforms.registry import release_transform_registry +from .compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_MIX_ARM_IDS +from .letter_mix import LETTER_MIX_APPROVED_CARRIERS, LETTER_MIX_MAX_SELECTED, LETTER_MIX_PAYLOADS +from .sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS + + +CYCLE8_MIX_FREEZE_VERSION = "cycle8-mix-freeze-v1" +CYCLE8_MIX_FREEZE_PATH = "specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json" +CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION = "cycle8-mix-confirmation-detector-compare-v1" +CYCLE8_MIX_CONFIRMATION_PAIR_COUNT = 64 +_LETTER_MIX_PATH = Path(__file__).resolve().parent / "letter_mix.py" +_DEVELOPMENT_ARTIFACTS = ( + ("1020000", "evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json", "2538c614a73bed360cdeebdaa60c0fa36ad34cf6995c76a120d49bd1da063ce2"), + ("1030000", "evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json", "142809783554a890cfd68b80b560295605e068b8e0deede8ea81e3e75358eb95"), + ("1040000", "evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json", "46ddefff3200de9d45c919761d3cb4f842b1ffa7f5404542b0aed571cfbbdf7b"), + ("1050000", "evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json", "157572031cd0d4cbcc26345f3b33e79b5ca7154cc4365c0d62086c7e03e17575"), +) + + +def mix_freeze_payload() -> dict[str, object]: + artifacts = [] + for seed_base, relative, artifact_hash in _DEVELOPMENT_ARTIFACTS: + path = Path(relative) + disk = json.loads(path.read_text(encoding="utf-8")) + if disk["artifact_hash"] != artifact_hash: + raise ValueError("mix freeze development artifact hash mismatch") + artifacts.append( + { + "seed_base": int(seed_base), + "path": relative, + "artifact_hash": artifact_hash, + } + ) + payload = { + "algorithm_version": CYCLE8_MIX_FREEZE_VERSION, + "freeze": True, + "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.", + "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID, + "carriers": [int(codepoint) for codepoint in LETTER_MIX_APPROVED_CARRIERS], + "payloads": list(LETTER_MIX_PAYLOADS), + "even_site_payload": "\u034f", + "odd_site_payload": "\ufe00", + "max_selected": LETTER_MIX_MAX_SELECTED, + "placement": ( + "ASCII letter sites outside raw unmerged hard machine spans; " + "even selected-site index receives U+034F; odd receives U+FE00" + ), + "hard_machine_spans": [ + "fenced_code", + "inline_code", + "markdown_destination", + "url", + "email", + "ip", + "date", + "currency", + "percent", + "number", + "posix_path", + "windows_path", + "cli_flag", + ], + "quote_interiors_eligible": True, + "math_citation_quotation_not_hard": True, + "visible_projection": "project_visible_v1", + "carrier_insertion": "is_carrier_insertion_v1", + "user_visible_invariants": "validate_user_visible_invariants", + "supported_input_domain": "is_supported_product_domain_v1", + "letter_mix_source_sha256": sha256_file(_LETTER_MIX_PATH), + "detector": { + "model": "openai-community/gpt2", + "model_revision": "607a30d783dfa663caf39e06633721c8d4cfcd7e", + "implementation": "Hugging Face SynthID Weighted Mean", + "threshold": CYCLE6_THRESHOLD, + "comparison": "score >= threshold", + "fpr_assumption": "frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold 0.5570987654320988", + "device": "cpu", + }, + "sanitizer_ids": list(CYCLE8_SCALE_SANITIZER_VARIANT_IDS), + "control_protocol": { + "arm_ids": list(CYCLE8_MIX_ARM_IDS), + "pair_count": CYCLE8_MIX_CONFIRMATION_PAIR_COUNT, + "matched_unwatermarked": True, + "detector_blind": True, + "watermark_key_blind": True, + "non_neural": True, + "run_once": True, + }, + "development_evidence": { + "label": "HYPOTHESIS", + "rate": "0/256", + "raw_watermarked_detected": 0, + "raw_unwatermarked_detected": 0, + "worst_max_score": 0.5195221445221445, + "min_gap_below_threshold": CYCLE6_THRESHOLD - 0.5195221445221445, + "artifacts": artifacts, + }, + "confirmation_protocol": { + "preregistered": True, + "generated": False, + "seed_bases": list(CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES), + "topics": { + "830000": CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + "840000": CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + "850000": CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + }, + "pair_count": CYCLE8_MIX_CONFIRMATION_PAIR_COUNT, + "algorithm_version": CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION, + "target_transformed_wm": "0/192", + "target_visible": "192/192", + "do_not_rerun_looking_for_zero": True, + }, + "do_not_generate_950000": True, + "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", + ], + } + return payload + + +def mix_freeze_hash() -> str: + return sha256_json(mix_freeze_payload()) + + +def assert_mix_freeze_committed() -> None: + path = Path(CYCLE8_MIX_FREEZE_PATH) + if not path.is_file(): + raise ValueError("mix freeze spec is not committed") + disk = json.loads(path.read_text(encoding="utf-8")) + payload = {key: value for key, value in disk.items() if key != "freeze_hash"} + if payload != mix_freeze_payload(): + raise ValueError("mix freeze spec does not match the embedded freeze payload") + if disk.get("freeze_hash") != mix_freeze_hash(): + raise ValueError("mix freeze spec hash mismatch") + if disk.get("freeze") is not True: + raise ValueError("mix freeze spec is not frozen") + if disk.get("product_authorized") is True: + raise ValueError("mix freeze must not product-authorize the mechanism") + if release_transform_registry().rules != (): + raise ValueError("release_transform_registry must stay empty") + + +def assert_cycle8_mix_confirmation_generation_seed(seed_base: int) -> None: + require_int("seed_base", seed_base) + assert_mix_freeze_committed() + if seed_base not in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: + raise ValueError("seed_base is not a Cycle 8 mix confirmation seed") + row = row_for_seed_base(seed_base) + if row["eligible_for_confirmation"] is not True: + raise ValueError("seed is not eligible for confirmation") + if row["generated"] is True: + raise ValueError("confirmation seed already generated") + if row["scored"] is True: + raise ValueError("confirmation seed already scored") diff --git a/fuckmark/cycle8_hf.py b/fuckmark/cycle8_hf.py index c2b8413f..0fec24a0 100644 --- a/fuckmark/cycle8_hf.py +++ b/fuckmark/cycle8_hf.py @@ -48,6 +48,7 @@ CYCLE8_MIX_SCALE_PRIMARY_TOPIC, CYCLE8_MIX_SCALE_REPLICATION_ROLE, CYCLE8_MIX_SCALE_REPLICATION_TOPIC, + CYCLE8_CONFIRMATION_RESERVED_ROLE, CYCLE8_VALIDATION_ROLE, CYCLE8_VALIDATION_TOPIC, assert_cycle8_development_seed, @@ -189,7 +190,14 @@ def _topic_for_seed(seed_base: int) -> str: return CYCLE8_MIX_SCALE_PRIMARY_TOPIC if role == CYCLE8_MIX_SCALE_REPLICATION_ROLE: return CYCLE8_MIX_SCALE_REPLICATION_TOPIC - raise ValueError("Cycle 8 detector compare only runs exploratory, replication, validation, scale, density, letter, letter-benchmark, margin, or mix seeds") + if role == CYCLE8_CONFIRMATION_RESERVED_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("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") def _generate_cycle8_samples( @@ -198,11 +206,17 @@ def _generate_cycle8_samples( max_attempts: int, *, pair_count: int | None = None, + allow_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") - assert_cycle8_development_seed(seed_base, role=role) + if allow_confirmation: + from .cycle8.mix_freeze import assert_cycle8_mix_confirmation_generation_seed + + assert_cycle8_mix_confirmation_generation_seed(seed_base) + else: + assert_cycle8_development_seed(seed_base, role=role) topic = _topic_for_seed(seed_base) domains = tuple(CorpusDomain) if pair_count is None: @@ -400,15 +414,27 @@ def run_cycle8_detector_compare( sanitizer_ids: tuple[str, ...] = CYCLE7_SANITIZER_VARIANT_IDS, sanitize=sanitize_cycle7_variant, algorithm_version: str = CYCLE8_DETECTOR_VERSION, + allow_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") - assert_cycle8_development_seed(seed_base, role=role) + if allow_confirmation: + from .cycle8.mix_freeze import assert_cycle8_mix_confirmation_generation_seed + + assert_cycle8_mix_confirmation_generation_seed(seed_base) + else: + assert_cycle8_development_seed(seed_base, role=role) backend, tokenizer, adapter, _identity_hash, eos = _adapter_and_tokenizer(device) - samples = _generate_cycle8_samples(backend, seed_base, max_attempts, pair_count=pair_count) + samples = _generate_cycle8_samples( + backend, + seed_base, + max_attempts, + pair_count=pair_count, + allow_confirmation=allow_confirmation, + ) geometry_rows, scored_rows, summaries = _evaluate_samples( samples, tokenizer, diff --git a/fuckmark/cycle8_mix_confirmation_hf.py b/fuckmark/cycle8_mix_confirmation_hf.py new file mode 100644 index 00000000..0b76357a --- /dev/null +++ b/fuckmark/cycle8_mix_confirmation_hf.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + +from .config import canonical_json_text +from .cycle8.compare import CYCLE8_LETTER_ALT_ARM_ID, CYCLE8_MIX_ARM_IDS +from .cycle8.decision import classify_scale_detector_compare +from .cycle8.ledger import CYCLE8_LETTER_BENCHMARK_PAIR_COUNT +from .cycle8.mix_freeze import ( + CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION, + CYCLE8_MIX_CONFIRMATION_PAIR_COUNT, + assert_cycle8_mix_confirmation_generation_seed, +) +from .cycle8.sanitize import CYCLE8_SCALE_SANITIZER_VARIANT_IDS, sanitize_cycle8_scale_variant +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 + + +def run_cycle8_mix_confirmation_detector_compare( + *, + device: str = "cpu", + seed_base: int, + pair_count: int = CYCLE8_MIX_CONFIRMATION_PAIR_COUNT, + max_attempts: int = 64, +) -> dict[str, object]: + assert_cycle8_mix_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=CYCLE8_MIX_ARM_IDS, + sanitizer_ids=CYCLE8_SCALE_SANITIZER_VARIANT_IDS, + sanitize=sanitize_cycle8_scale_variant, + algorithm_version=CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION, + allow_confirmation=True, + ) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="fuckmark-cycle8-mix-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_LETTER_BENCHMARK_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 not in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: + raise ValueError("seed_base is not a Cycle 8 mix confirmation seed") + if args.detector_json is None: + args.detector_json = Path( + f"evidence/cycle8-mix-confirmation-{args.seed_base}-n{args.pair_count}-2026-08-26/detector-compare.json" + ) + if args.detector_json.exists(): + raise ValueError("confirmation artifact already exists; do not rerun looking for zero") + detector = run_cycle8_mix_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=CYCLE8_LETTER_ALT_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/seeds/__init__.py b/fuckmark/seeds/__init__.py index a48478e8..0415d450 100644 --- a/fuckmark/seeds/__init__.py +++ b/fuckmark/seeds/__init__.py @@ -19,6 +19,9 @@ CYCLE8_MIX_SCALE_PRIMARY_TOPIC, CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, CYCLE8_MIX_SCALE_REPLICATION_TOPIC, + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -61,6 +64,9 @@ "CYCLE8_MIX_SCALE_PRIMARY_TOPIC", "CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE", "CYCLE8_MIX_SCALE_REPLICATION_TOPIC", + "CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC", + "CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC", + "CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC", "CYCLE8_SCALE_EXPLORATORY_SEED_BASE", "CYCLE8_SCALE_EXPLORATORY_TOPIC", "CYCLE8_SCALE_REPLICATION_SEED_BASE", diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index 4bab3bb2..d4b532ea 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -37,6 +37,9 @@ 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_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" def _row( @@ -91,9 +94,9 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _row(780000, "cycle6", "confirmation", "cycle6 formal", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals."), _row(810000, "cycle7", "exploratory_development", "reproducibility", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage A. Do not keep expanding rules against it."), _row(820000, "cycle7", "validation_development", "held-out evaluation", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B3 validation. Spent. Do not retune."), - _row(830000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), - _row(840000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), - _row(850000, "shared", "confirmation_reserved", "", "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve. Do not generate, tokenize, score, or inspect content."), + _row(830000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), + _row(840000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), + _row(850000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), _row(860000, "cycle7", "exploratory_development", "independent replication", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B1. Do not keep expanding rules against it."), _row(870000, "cycle7", "exploratory_development", "measurement protocol", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage C1. Spent for new rule construction."), _row(880000, "cycle7", "validation_development", "independent check", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), @@ -133,8 +136,9 @@ def global_seed_ledger_payload() -> dict[str, object]: "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. Do not inspect 830000, 840000, or " - "850000. Do not generate 950000 until a stronger mechanism is frozen. " + "and is not eligible as unseen validation. Seeds 830000, 840000, and 850000 " + "are preregistered for one-shot cycle8-mix-freeze-v1 confirmation and are " + "not yet generated. 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. " @@ -173,6 +177,9 @@ 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_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, "rows": list(rows), } diff --git a/specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json b/specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json new file mode 100644 index 00000000..4e781cfe --- /dev/null +++ b/specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-freeze-v1","carrier_insertion":"is_carrier_insertion_v1","carriers":[847,65024],"cli_identity":true,"confirmation":false,"confirmation_generated":false,"confirmation_protocol":{"algorithm_version":"cycle8-mix-confirmation-detector-compare-v1","do_not_rerun_looking_for_zero":true,"generated":false,"pair_count":64,"preregistered":true,"seed_bases":[830000,840000,850000],"target_transformed_wm":"0/192","target_visible":"192/192","topics":{"830000":"mix formal confirmation primary","840000":"mix formal confirmation replication","850000":"mix formal confirmation holdout"}},"control_protocol":{"arm_ids":["identity","u034f-letter-x1","u034f-ufe00-letter-alt-v1"],"detector_blind":true,"matched_unwatermarked":true,"non_neural":true,"pair_count":64,"run_once":true,"watermark_key_blind":true},"detector":{"comparison":"score >= threshold","device":"cpu","fpr_assumption":"frozen Cycle 6 GPT-2 / Hugging Face SynthID Weighted Mean threshold 0.5570987654320988","implementation":"Hugging Face SynthID Weighted Mean","model":"openai-community/gpt2","model_revision":"607a30d783dfa663caf39e06633721c8d4cfcd7e","threshold":0.5570987654320988},"development_evidence":{"artifacts":[{"artifact_hash":"2538c614a73bed360cdeebdaa60c0fa36ad34cf6995c76a120d49bd1da063ce2","path":"evidence/cycle8-mix-1020000-n64-2026-08-26/detector-compare.json","seed_base":1020000},{"artifact_hash":"142809783554a890cfd68b80b560295605e068b8e0deede8ea81e3e75358eb95","path":"evidence/cycle8-mix-1030000-n64-2026-08-26/detector-compare.json","seed_base":1030000},{"artifact_hash":"46ddefff3200de9d45c919761d3cb4f842b1ffa7f5404542b0aed571cfbbdf7b","path":"evidence/cycle8-mix-1040000-n64-2026-08-26/detector-compare.json","seed_base":1040000},{"artifact_hash":"157572031cd0d4cbcc26345f3b33e79b5ca7154cc4365c0d62086c7e03e17575","path":"evidence/cycle8-mix-1050000-n64-2026-08-26/detector-compare.json","seed_base":1050000}],"label":"HYPOTHESIS","min_gap_below_threshold":0.037576620909954284,"rate":"0/256","raw_unwatermarked_detected":0,"raw_watermarked_detected":0,"worst_max_score":0.5195221445221445},"do_not_generate_950000":true,"even_site_payload":"͏","freeze":true,"freeze_hash":"2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986","hard_machine_spans":["fenced_code","inline_code","markdown_destination","url","email","ip","date","currency","percent","number","posix_path","windows_path","cli_flag"],"letter_mix_source_sha256":"b1ceec24e584c0e9e7135ef0c89a3bd249b0bda4a45e07aa7190b1b010ba56d4","math_citation_quotation_not_hard":true,"max_selected":192,"mechanism_id":"u034f-ufe00-letter-alt-v1","odd_site_payload":"︀","payloads":["͏","︀"],"placement":"ASCII letter sites outside raw unmerged hard machine spans; even selected-site index receives U+034F; odd receives U+FE00","product_authorized":false,"quote_interiors_eligible":true,"release_registry_empty":true,"sanitizer_ids":["raw","nfkc","cf_strip","nfkc_cf_strip","ws_collapse","ws_collapse_nfkc_cf_strip","nfc"],"supported_input_domain":"is_supported_product_domain_v1","user_visible_invariants":"validate_user_visible_invariants","visible_projection":"project_visible_v1","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"]} diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index 1918febf..e18b6705 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":"583b901e3e5ad1f1840935883897fb53b01337a0281d16b41402af6306c56895","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. Do not inspect 830000, 840000, or 850000. 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. 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,"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":"dbf207f1bc1613ee6c8b190d32a7f3d195d23d8246a0c3e8f40ce2a8402aabdf","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. Do not inspect 830000, 840000, or 850000. 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 preregisters 830000, 840000, and 850000 for one-shot mix confirmation; do not generate them until that freeze is committed, 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 96c346ca..c6ed4201 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_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":"e9f40455441587de51c895bc1a6da32bad7cecc3a6a7b09a6018f520f8d93319","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"","notes":"Formal confirmation reserve. Do not generate, tokenize, score, or inspect content.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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. Do not inspect 830000, 840000, or 850000. Do not generate 950000 until a stronger mechanism is frozen. 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."} +{"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":"0f3d4d985fbcc73a9eeac60f8fdaba2359a145c7632429e03198fd13b67571df","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation primary","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation replication","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation holdout","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 are preregistered for one-shot cycle8-mix-freeze-v1 confirmation and are not yet generated. 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."} diff --git a/tests/test_cycle8_mix_freeze.py b/tests/test_cycle8_mix_freeze.py new file mode 100644 index 00000000..5811f9a1 --- /dev/null +++ b/tests/test_cycle8_mix_freeze.py @@ -0,0 +1,71 @@ +import json +from pathlib import Path + +import pytest + +from fuckmark.cli import process_text +from fuckmark.cycle8.compare import CYCLE8_BENCHMARK_ARM_IDS, CYCLE8_LETTER_ALT_ARM_ID +from fuckmark.cycle8.mix_freeze import ( + CYCLE8_MIX_FREEZE_PATH, + CYCLE8_MIX_FREEZE_VERSION, + assert_cycle8_mix_confirmation_generation_seed, + assert_mix_freeze_committed, + mix_freeze_hash, + mix_freeze_payload, +) +from fuckmark.hashing import sha256_json +from fuckmark.seeds.ledger import ( + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + assert_new_cycle8_mix_generation_seed, + row_for_seed_base, +) +from fuckmark.transforms.registry import release_transform_registry + + +def test_mix_freeze_file_matches_embedded_payload() -> None: + path = Path(__file__).resolve().parents[1] / CYCLE8_MIX_FREEZE_PATH + disk = json.loads(path.read_text(encoding="utf-8")) + payload = {key: value for key, value in disk.items() if key != "freeze_hash"} + assert payload == mix_freeze_payload() + assert disk["freeze_hash"] == mix_freeze_hash() == sha256_json(payload) + assert disk["algorithm_version"] == CYCLE8_MIX_FREEZE_VERSION + assert disk["freeze"] is True + assert disk["confirmation"] is False + assert disk["confirmation_generated"] is False + assert disk["product_authorized"] is False + assert disk["mechanism_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert disk["max_selected"] == 192 + assert disk["development_evidence"]["rate"] == "0/256" + assert disk["development_evidence"]["raw_watermarked_detected"] == 0 + assert float(disk["development_evidence"]["worst_max_score"]) < 0.52 + assert disk["confirmation_protocol"]["seed_bases"] == [830000, 840000, 850000] + assert disk["confirmation_protocol"]["generated"] is False + 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 CYCLE8_LETTER_ALT_ARM_ID not in CYCLE8_BENCHMARK_ARM_IDS + + +def test_mix_confirmation_seeds_are_preregistered_and_ungenerated() -> None: + primary = row_for_seed_base(830000) + replica = row_for_seed_base(840000) + hold = row_for_seed_base(850000) + assert primary["generation_topic"] == CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC + assert replica["generation_topic"] == CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC + assert hold["generation_topic"] == CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC + for row in (primary, replica, hold): + assert row["generated"] is False + assert row["scored"] is False + assert row["eligible_for_confirmation"] is True + assert_cycle8_mix_confirmation_generation_seed(830000) + assert_cycle8_mix_confirmation_generation_seed(840000) + assert_cycle8_mix_confirmation_generation_seed(850000) + with pytest.raises(ValueError, match="confirmation"): + assert_new_cycle8_mix_generation_seed(830000) + with pytest.raises(ValueError, match="not a Cycle 8 mix confirmation"): + assert_cycle8_mix_confirmation_generation_seed(1020000) + with pytest.raises(ValueError, match="not a Cycle 8 mix confirmation"): + assert_cycle8_mix_confirmation_generation_seed(950000) diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 3199f443..4c4bf377 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -25,6 +25,9 @@ CYCLE8_MIX_SCALE_PRIMARY_TOPIC, CYCLE8_MIX_SCALE_REPLICATION_SEED_BASE, CYCLE8_MIX_SCALE_REPLICATION_TOPIC, + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, CYCLE8_SCALE_EXPLORATORY_SEED_BASE, CYCLE8_SCALE_EXPLORATORY_TOPIC, CYCLE8_SCALE_REPLICATION_SEED_BASE, @@ -66,8 +69,16 @@ def test_global_ledger_marks_880000_exposed_and_keeps_confirmation_unseen() -> N assert row["generated"] is False assert row["scored"] is False assert row["eligible_for_confirmation"] is True + assert row["generation_topic"] in { + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + } with pytest.raises(ValueError, match="must not be inspected"): assert_seed_not_confirmation_content(seed_base) + assert row_for_seed_base(830000)["generation_topic"] == CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC + assert row_for_seed_base(840000)["generation_topic"] == CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC + assert row_for_seed_base(850000)["generation_topic"] == CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC def test_scale_seeds_are_reserved_before_generation() -> None: From d4d61efaab5a4dcc180c89efff0bae8dc42e5cda Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Wed, 26 Aug 2026 20:31:02 +0000 Subject: [PATCH 13/13] Record Cycle 8 mix freeze one-shot confirmation 0/192. Seeds 830000, 840000, and 850000 were generated once under cycle8-mix-freeze-v1. Mix is 0/192 raw transformed WM, mix UW 0/192, visible 192/192, worst score 0.524300 versus threshold 0.557099. Public CLI stays empty. Do not rerun looking for zero. Co-authored-by: Byte271 --- CHANGELOG.md | 3 +- README.md | 4 +- docs/cycle7/README.md | 2 +- docs/cycle7/seed-ledger.md | 2 +- docs/cycle8/README.md | 2 +- docs/cycle8/carrier-research.md | 4 +- docs/cycle8/letter-mix-margin.md | 8 +- docs/cycle8/mix-freeze.md | 27 ++- docs/cycle8/seed-ledger.md | 5 +- docs/seeds.md | 5 +- .../README.md | 2 +- .../SHA256SUMS.txt | 2 +- .../README.md | 2 +- .../SHA256SUMS.txt | 2 +- .../README.md | 55 +++++ .../SHA256SUMS.txt | 2 + .../scorecard.json | 1 + .../README.md | 25 +++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 23 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../README.md | 23 ++ .../SHA256SUMS.txt | 3 + .../decision.json | 1 + .../detector-compare.json | 1 + .../cycle8-mix-margin-2026-08-26/README.md | 6 +- .../SHA256SUMS.txt | 2 +- fuckmark/cycle8/ledger.py | 10 +- fuckmark/cycle8/mix_confirmation.py | 136 ++++++++++++ fuckmark/cycle8/mix_freeze.py | 4 +- fuckmark/seeds/ledger.py | 10 +- .../fuckmark-cycle8-seed-ledger-v2.json | 2 +- specs/fuckmark-global-seed-ledger-v1.json | 2 +- tests/test_cycle8_mix_confirmation.py | 204 ++++++++++++++++++ tests/test_cycle8_mix_freeze.py | 15 +- tests/test_global_seed_ledger.py | 9 +- 40 files changed, 560 insertions(+), 54 deletions(-) create mode 100644 evidence/cycle8-mix-confirmation-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-confirmation-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-confirmation-2026-08-26/scorecard.json create mode 100644 evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json create mode 100644 evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/README.md create mode 100644 evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/SHA256SUMS.txt create mode 100644 evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/decision.json create mode 100644 evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json create mode 100644 fuckmark/cycle8/mix_confirmation.py create mode 100644 tests/test_cycle8_mix_confirmation.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 1aef0acb..4ea16f96 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -21,7 +21,8 @@ - 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. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. +- 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`. ## v0.2.0 — Exact-survival confirmation and release hardening diff --git a/README.md b/README.md index 5e936fe3..b584ba59 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`. It is still not product-authorized. Formal confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. 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. 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). See [`docs/product-contract.md`](docs/product-contract.md) and `specs/fuckmark-user-visible-invariance-v1.contract.json`. @@ -164,7 +164,7 @@ 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. Formal confirmation is preregistered and not yet generated. +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. ## Reproduce the research environment diff --git a/docs/cycle7/README.md b/docs/cycle7/README.md index 07a93ae6..5bf5e4e8 100644 --- a/docs/cycle7/README.md +++ b/docs/cycle7/README.md @@ -90,7 +90,7 @@ Details: `docs/cycle7/stage-a-decision.md`. 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` remain unseen confirmation reserves. +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 diff --git a/docs/cycle7/seed-ledger.md b/docs/cycle7/seed-ledger.md index 9967498f..d6b15e70 100644 --- a/docs/cycle7/seed-ledger.md +++ b/docs/cycle7/seed-ledger.md @@ -24,7 +24,7 @@ Seeds were assigned **before** Cycle 7 detector scoring. Seed `860000` and topic | 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 | **no** until a later frozen confirmation protocol | +| 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. diff --git a/docs/cycle8/README.md b/docs/cycle8/README.md index fca0711f..da86b286 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`. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. 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. 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. ## Carrier research diff --git a/docs/cycle8/carrier-research.md b/docs/cycle8/carrier-research.md index abeb1f53..3b53bebb 100644 --- a/docs/cycle8/carrier-research.md +++ b/docs/cycle8/carrier-research.md @@ -35,11 +35,11 @@ Intra-word insertion is no longer treated as tokenizer-diagnostic-only. Letter-x ## H11. Alternating U+034F / U+FE00 letter mix -`HYPOTHESIS` / `PROMISING_DEVELOPMENT`. 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. 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. 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`. It is not product-authorized. Confirmation seeds are preregistered and not yet generated. 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. See `docs/cycle8/mix-freeze.md`. ## H3-H8 diff --git a/docs/cycle8/letter-mix-margin.md b/docs/cycle8/letter-mix-margin.md index 2846cb6c..388a3501 100644 --- a/docs/cycle8/letter-mix-margin.md +++ b/docs/cycle8/letter-mix-margin.md @@ -1,10 +1,10 @@ # Cycle 8 letter-mix margin -Status: frozen as `cycle8-mix-freeze-v1`. Not product-authorized. Confirmation not yet generated. +Status: frozen as `cycle8-mix-freeze-v1`. One-shot confirmation is `VERIFIED` **0/192**. Not product-authorized. -Evidence: [`evidence/cycle8-mix-margin-2026-08-26/`](../../evidence/cycle8-mix-margin-2026-08-26/). +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 current development mechanism `u034f-ufe00-letter-alt-v1` was measured as-is. It is not in `release_transform_registry()`. `process_text("I do not agree.")` is unchanged. +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 @@ -27,4 +27,4 @@ Additional independent scale seeds `1040000` n=64 plus `1050000` n=64, reserved 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. -Formal confirmation readiness: freeze recorded as `cycle8-mix-freeze-v1`. Confirmation seeds `830000` / `840000` / `850000` are preregistered and not yet generated. This 0/256 is development evidence, not the confirmation result. +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/mix-freeze.md b/docs/cycle8/mix-freeze.md index 2b314884..3fa6a645 100644 --- a/docs/cycle8/mix-freeze.md +++ b/docs/cycle8/mix-freeze.md @@ -1,8 +1,8 @@ # Cycle 8 mix freeze -Status: frozen development mechanism. Not product authorization. Confirmation not yet generated. +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 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. @@ -24,14 +24,27 @@ Four independent reserved-before-generation n=64 corpora (`1020000`, `1030000`, - 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. +The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. That 0/256 remains `HYPOTHESIS` development evidence. -## Confirmation protocol +## Confirmation result -Preregistered. Not generated. +Generated once. Spent. Do not rerun looking for zero. Do not retune on residuals. -Seeds `830000`, `840000`, and `850000` are reserved for one-shot formal confirmation: 3 x 64 watermarked samples plus matched unwatermarked controls. Generate once under this freeze. Do not rerun looking for zero. Do not retune on residuals. Do not generate `950000`. +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. Latin-1 cannot encode them. Low-site rows remain closer to the threshold than high-site rows. +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. + +Do not generate `950000`. The public CLI remains empty. diff --git a/docs/cycle8/seed-ledger.md b/docs/cycle8/seed-ledger.md index 709af930..41da807d 100644 --- a/docs/cycle8/seed-ledger.md +++ b/docs/cycle8/seed-ledger.md @@ -17,7 +17,7 @@ See also `docs/seeds.md`. | 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 | Confirmation reserved. Preregistered for `cycle8-mix-freeze-v1`. Not yet generated. Generate once. | +| 830000, 840000, 850000 | Cycle 8 mix freeze confirmation. Generated once. Spent. Mix 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 @@ -41,5 +41,8 @@ See also `docs/seeds.md`. | 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 | Do not promote any of these seeds into confirmation after seeing scores. diff --git a/docs/seeds.md b/docs/seeds.md index c1ca1799..10d41003 100644 --- a/docs/seeds.md +++ b/docs/seeds.md @@ -6,7 +6,7 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re ## Hard rules -- Do not generate, tokenize, score, or inspect content of confirmation reserves `830000`, `840000`, `850000` until `cycle8-mix-freeze-v1` confirmation is executed once. +- 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. @@ -34,6 +34,9 @@ This ledger is the cross-cycle source of truth for seed reuse. A seed must be re | 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 | ## Historical v1 Cycle 8 ledger diff --git a/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md index 2ee147ce..ce9ebfd0 100644 --- a/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md +++ b/evidence/cycle8-mix-1040000-n64-2026-08-26/README.md @@ -14,7 +14,7 @@ Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versu Closest mix watermarked row geometry only: `cycle8-1040000-29-technical_explanation-watermarked`, 31 insertions, score 0.519522, gap 0.037577 below threshold 0.557099. Residual text was not inspected to write lexical rules. -Combined with independent mix seeds `1020000` and `1030000`: mix **0/192** raw WM, mix UW **0/192**, worst mix max 0.519522 (gap 0.037577). This 0/192 is development evidence on three reserved-before-generation corpora. It is not formal confirmation and does not consume `830000` / `840000` / `850000`. +Combined with independent mix seeds `1020000` and `1030000`: mix **0/192** raw WM, mix UW **0/192**, worst mix max 0.519522 (gap 0.037577). This 0/192 is development evidence on three reserved-before-generation corpora. It is not the later mix freeze confirmation result. The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. diff --git a/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt index 74860aaa..b9f94f9e 100644 --- a/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt +++ b/evidence/cycle8-mix-1040000-n64-2026-08-26/SHA256SUMS.txt @@ -1,3 +1,3 @@ -767ee3ba3324096f9234d74f882a3408a1c966804a9963837408a978b8feeb76 README.md +5870e61410c23c988696b0a0cbe1327a70b03b82658d2ec381758b4f22eaee00 README.md 7540a43b6ac779f9525f242c4f1f86b4854cd3638225bfb3d7f119d921ca6bee decision.json 8b184bdac38eba360b42ab82493110698abe81fddba71b4886d66b4c39c4c732 detector-compare.json diff --git a/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md b/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md index 41663b1f..f1be2467 100644 --- a/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/README.md @@ -16,7 +16,7 @@ Closest mix watermarked row geometry only: `cycle8-1050000-44-general_explanator Identity unwatermarked detections are 2/64 on this corpus. Mix unwatermarked detections are 0/64. Identity unwatermarked noise is control noise, not mix leakage. -Combined with independent mix seeds `1020000`, `1030000`, and `1040000`: mix **0/256** raw WM, mix UW **0/256**, worst mix max 0.519522 from `1040000` (gap 0.037577). This 0/256 is development-scale evidence on four reserved-before-generation corpora. It is not formal confirmation and does not consume `830000` / `840000` / `850000`. The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. +Combined with independent mix seeds `1020000`, `1030000`, and `1040000`: mix **0/256** raw WM, mix UW **0/256**, worst mix max 0.519522 from `1040000` (gap 0.037577). This 0/256 is development-scale evidence on four reserved-before-generation corpora. It is not the later mix freeze confirmation result. The two-corpus 0/128 scorecard on `1020000`+`1030000` is not rewritten. 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 614/1024. diff --git a/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt index 963b9908..a9ee19c1 100644 --- a/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt +++ b/evidence/cycle8-mix-1050000-n64-2026-08-26/SHA256SUMS.txt @@ -1,3 +1,3 @@ -ae8cec6cc0057e553bab7a70c5f94aa8bcf9c3a149a8d5c7c80e0b7d9127efbc README.md +d3a70a83513dadd938b1fca8cc4376a3f92c0f9c3363f78f3466f1f05af8bbe9 README.md 447c8f609b4b8823b539ca978852e3a40d606b17cd99454dde71296b940cef16 decision.json 4d6bd9701bd616e0e99803401f1a262da4b99de81b7a73ddcb91b523a5ff58b6 detector-compare.json diff --git a/evidence/cycle8-mix-confirmation-2026-08-26/README.md b/evidence/cycle8-mix-confirmation-2026-08-26/README.md new file mode 100644 index 00000000..1f95dbd4 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-2026-08-26/README.md @@ -0,0 +1,55 @@ +# Cycle 8 mix freeze confirmation scorecard + +One-shot formal confirmation of frozen mechanism `u034f-ufe00-letter-alt-v1` (`cycle8-mix-freeze-v1`). Label: `VERIFIED`. Not product authorization. Public CLI remains empty. + +Seeds `830000`, `840000`, and `850000` were preregistered before generation, generated once under the freeze, and are now spent. Do not rerun looking for zero. Do not retune on these corpora. Do not generate `950000`. + +Do not collapse this confirmation **0/192** into development mix 0/256, letter-x1 system benchmark 0/128, or experimental letter-x1 0/192. Letter-space on seeds `1000000` and `1010000` remains **1/128**. Do not rewrite that 1/128 as zero. + +The freeze spec `specs/cycle8/fuckmark-cycle8-mix-freeze-v1.json` remains the algorithm freeze snapshot (`confirmation: false`, `confirmation_generated: false`). This scorecard is the confirmation outcome. + +## Scorecard + +| Axis | Result | Label | +| --- | --- | --- | +| Transformed mix raw WM | **0/192** (0/64 + 0/64 + 0/64) | `VERIFIED` | +| Transformed mix raw UW | **0/192** | `VERIFIED` | +| Mix max score | 0.524300 | `VERIFIED` | +| Mix min gap below threshold | 0.032798 | `VERIFIED` | +| Visible mix WM | **192/192** | `VERIFIED` | +| Frozen sanitizers vs raw mix detections | match zeros (NFC, NFKC, Cf-strip, whitespace-collapse, combined) | `VERIFIED` | +| Letter-x1 on the same confirmation corpora | **0/192**, max 0.524425 | `HYPOTHESIS` (not the confirmation arm) | +| Identity WM / UW | 185/192 / 2/192 | control; identity UW is noise, not mix leakage | +| Mn-strip / default-ignorable-strip | remove U+034F and U+FE00 | `REJECTED` durability | +| Latin-1 | cannot encode U+034F or U+FE00 | `REJECTED` | +| Max transformed token count | 612 / 1024 | below GPT-2 context | +| Product authorization | false | CLI remains empty | + +See `scorecard.json` for the machine-readable copy. Per-corpus detector files are in the sibling confirmation directories. + +## Confirmation detector corpora + +Protocol: identity vs letter-x1 vs letter-alt, frozen sanitizer matrix including NFC, CPU, detector-blind, watermark-key-blind, non-neural. Algorithm version `cycle8-mix-confirmation-detector-compare-v1`. + +| Seed | Role | Mix raw WM | Mix UW | Visible mix WM | Mix max | Closest mix gap | +| --- | --- | ---: | ---: | ---: | ---: | ---: | +| 830000 | mix formal confirmation primary | 0/64 | 0/64 | 64/64 | 0.519600 | 0.037499 | +| 840000 | mix formal confirmation replication | 0/64 | 0/64 | 64/64 | 0.524300 | 0.032798 | +| 850000 | mix formal confirmation holdout | 0/64 | 0/64 | 64/64 | 0.516948 | 0.040151 | +| **Combined** | one-shot 3 x 64 | **0/192** | **0/192** | **192/192** | **0.524300** | **0.032798** | + +Closest confirmation mix residual geometry only: `cycle8-840000-35-structured_instructional-watermarked`, 45 insertions, score 0.524300. Residual text was not inspected to write lexical rules. + +Identity unwatermarked on seed `830000` is 2/64. 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. + +## 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 + +- development mix 0/128 on `1020000`+`1030000` (`cycle8-mix-margin-scorecard-v1`) +- development mix 0/256 including `1040000`+`1050000` +- letter-x1 system benchmark 0/128 on `980000`+`990000` +- letter-space 1/128 on `1000000`+`1010000` +- freeze hash `cycle8-mix-freeze-v1` diff --git a/evidence/cycle8-mix-confirmation-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-confirmation-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..6c86d9e2 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,2 @@ +b345634c18307c71ca3748ca43a133878f5bf6376046f375c98f0c4c8d73ccaa README.md +a9ef2fbabb9ec2cc9d0e5f96b9b7019009a62c1a70f0bf6ed665d3a7de5013a2 scorecard.json diff --git a/evidence/cycle8-mix-confirmation-2026-08-26/scorecard.json b/evidence/cycle8-mix-confirmation-2026-08-26/scorecard.json new file mode 100644 index 00000000..5af7d46c --- /dev/null +++ b/evidence/cycle8-mix-confirmation-2026-08-26/scorecard.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-mix-confirmation-scorecard-v1","confirmation":true,"corpora":[{"artifact_hash":"b237512f7250b50bfb87c5f2aec60a01689e185533028ac73c3f7ee1201e02eb","identity_raw_watermarked_detected":62,"letter_raw_watermarked_detected":0,"mix_max_score":0.5195995038100301,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"path":"evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/detector-compare.json","seed_base":830000,"topic":"mix formal confirmation primary","visible_pass_count":128},{"artifact_hash":"5fef030650a75b371708b88dee328391db4649ab3bc4f832e30704625582e4b0","identity_raw_watermarked_detected":61,"letter_raw_watermarked_detected":0,"mix_max_score":0.5243003808577579,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"path":"evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json","seed_base":840000,"topic":"mix formal confirmation replication","visible_pass_count":128},{"artifact_hash":"25b7519c4eba50f0094b5314fe0f8d9b9086b1abb5cb78e2ee24c12a0b9a8b6a","identity_raw_watermarked_detected":62,"letter_raw_watermarked_detected":0,"mix_max_score":0.5169476454687723,"mix_raw_unwatermarked_detected":0,"mix_raw_watermarked_detected":0,"path":"evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json","seed_base":850000,"topic":"mix formal confirmation holdout","visible_pass_count":128}],"do_not_generate_950000":true,"durability":{"frozen_sanitizers_match_raw":true,"sanitizer_watermarked_detected":{"cf_strip":0,"nfc":0,"nfkc":0,"nfkc_cf_strip":0,"ws_collapse":0,"ws_collapse_nfkc_cf_strip":0}},"effectiveness":{"identity":{"raw_unwatermarked_detected":2,"raw_watermarked_detected":185},"letter_x1_same_corpora":{"max_score":0.5244247453791022,"rate":"0/192","raw_unwatermarked_detected":0,"raw_watermarked_detected":0},"transformed_uw":{"rate":"0/192","raw_unwatermarked_detected":0},"transformed_wm":{"max_score":0.5243003808577579,"min_gap_below_threshold":0.03279838457434092,"rate":"0/192","raw_watermarked_detected":0}},"evidence_label":"VERIFIED","freeze":true,"freeze_version":"cycle8-mix-freeze-v1","mechanism_id":"u034f-ufe00-letter-alt-v1","notes":"One-shot formal confirmation of cycle8-mix-freeze-v1. Do not rerun looking for zero. Do not retune on these corpora. Public CLI remains empty.","product_authorized":false,"release_registry_empty":true,"rerun_looking_for_zero":false,"run_once":true,"scorecard_hash":"a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce","threshold":0.5570987654320988,"visibility":{"watermarked_pass_rate":"192/192"}} diff --git a/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/README.md b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/README.md new file mode 100644 index 00000000..4c1d9fa9 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/README.md @@ -0,0 +1,25 @@ +# Cycle 8 mix freeze confirmation detector (seed 830000, 64 pairs) + +One-shot formal confirmation of `cycle8-mix-freeze-v1`. Seed `830000` and topic `mix formal confirmation primary` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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 confirmation claim is this README plus `cycle8-mix-confirmation-scorecard-v1`. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 62/64 | 62/64 | 2/64 | 128/128 | 0 | 0.69872 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 188.37 | 0.52442 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 188.48 | 0.51960 | + +Closest mix watermarked row geometry only: `cycle8-830000-62-conversational_prose-watermarked`, 192 insertions, score 0.519600, gap 0.037499 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +Identity unwatermarked detections are 2/64 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 612/1024. + +Combined with independent confirmation seeds `840000` and `850000`: mix **0/192** raw WM, mix UW **0/192**, visible mix WM **192/192**, worst mix max 0.524300 from `840000` (gap 0.032798). That combined 0/192 is the one-shot confirmation result. Do not collapse it into development mix 0/256 or letter-x1 0/128. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. diff --git a/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..db46ae4b --- /dev/null +++ b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +c5fba91e60cc08866dc45ee8c919e525d5a9fcc9207ab9c023936e772ca03525 README.md +7540a43b6ac779f9525f242c4f1f86b4854cd3638225bfb3d7f119d921ca6bee decision.json +a8addf85e97b2c46c5712cf918cd495f3969a0931e9950d1e3e5e3231ac76852 detector-compare.json diff --git a/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..2ecaeb6d --- /dev/null +++ b/evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"notes":"This is Cycle 8 scale development classification, not confirmation. 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For example, the main idea should be \"do nothing.\" If a failure mode fails and the main idea fails, use a validation check to verify the main idea.\n\nExample:\n\n$ curl https://","text_sha256":"2b3897dff66e4363dd76c734fd58bb16b7badd708038d30dd8852634ba98d145"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-830000-06-conversational_prose-unwatermarked","seed":830192,"text":" Do not use \"if\" clauses, \"when\" and \"who\" clauses. Do not use \"why\" clauses, \"if\" and \"who\" clauses. The phrase \"I\" should be used in a specific way, not in a single sentence, or in a single sentence of a sentence.\n\n","text_sha256":"fbcded54c0c2f2c039bf3daf95afe420bc744bb9d251bbc95c81ec6ac927bd82"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-830000-06-conversational_prose-watermarked","seed":830192,"text":" Use a more formal form to describe your own personality. If you have a friend who is an authority figure in your field, use this style to help you get the most out of your conversations.\n\n2. Pick the appropriate questions. Ask for one or two questions to help you develop your emotional, social and emotional","text_sha256":"fd3a58162d3ddcc659e90d72db05ca8a29c134a3dc3964e5cc6f4361837948fc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-830000-07-structured_instructional-unwatermarked","seed":830224,"text":" (This is your best bet.) Repeat each step in a different order until you get the following results:\n\nRepeat each step 5 times to get the result that you want.\n\nRepeat each step 3 times to get the result that you want.\n\nRepeat each step 3 times to get the result that you","text_sha256":"53fe90dcd9ecd799b57860d011f24025a7af7c36e530721e8c29b2c66d3af7bd"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-830000-07-structured_instructional-watermarked","seed":830224,"text":" Use a single-word rule to form a sentence.\n\nIn addition, you might want to do a very specific test and be able to see how it feels to use a simple rule to form a sentence. This is a great way to test your intuition.\n\nIn the example above, we are going to","text_sha256":"a340ba6f8e596b79446e2ccea2acf2d49bdeef41c0a16fea354503c9daab3e84"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-830000-08-general_explanatory-unwatermarked","seed":830256,"text":"\n\nConsider what happens if you apply this kind of formal confirmation to a test of a mathematical problem. Imagine the following experiment:\n\nYou describe the first step of the process by which a problem is solved.\n\nYou describe the second step by which a problem is solved.\n\nYou describe the third step","text_sha256":"50ee22344a1276694f1ae75848960628c39a5a23c80afd9ff699f6b1f813ec6a"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-830000-08-general_explanatory-watermarked","seed":830256,"text":" (A note to those who write this: The first three letters of the sentence should be followed by a hyphen, and the hyphen is used only once by every speaker, so if you're like me, it's best to write an entire sentence without a hyphen.) This is the easiest way to explain to","text_sha256":"f4afebe3fc3f4ebb6853fa8dbc2c81b31cd523061286f4ee800d1156a30fa4e5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-830000-09-technical_explanation-unwatermarked","seed":830288,"text":"\n\nThe main idea, one failure mode, and one validation check. Define the main implementation, including the key validation check and the validation checking check.\n\nThe main implementation, including the key validation check and the validation checking check. Implement the main test suite and test suite validation check. Implement an implementation to","text_sha256":"5a5aeddeaada75630849c39b0fbf542d37330d0fa11f0da27728e1a10f2556fc"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-830000-09-technical_explanation-watermarked","seed":830288,"text":" Create a test case for each key for a particular set of conditions that cannot be met if the test is to be used as an alternative to the primary key.\n\nIn addition, create a test case that checks the \"test case\" if the test is to be used as an alternative to a primary key. Create","text_sha256":"6a5932fa2fcd6b61be995b8b03d99aff09c527020f764068914ca975fb04fae8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-830000-10-conversational_prose-unwatermarked","seed":830320,"text":"\n\nUse natural conversational prose while keeping the explanation precise. Provide a formal confirmation and a formal confirmation secondary if necessary.\n\nProvide a formal confirmation and a formal confirmation secondary if necessary. Use a formal confirmation and a formal confirmation secondary for more formal reasons.\n\nUse a formal confirmation and a formal confirmation","text_sha256":"8ab66cc53291c93d9b49aa856e03d658eeed4cfe57c1cb50cdc821ea0a44c6d5"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-830000-10-conversational_prose-watermarked","seed":830320,"text":"\n\nUse simple, open-ended statements with appropriate specificity and consistency. The following examples illustrate this approach:\n\nA person with autism asks, \"Have you ever been to a sporting event, bar, or other public place, and you are always asked to repeat the question, \"Have you ever been to a","text_sha256":"364bc8e9c77d8ac64537109ca6da7885b4ce8f44a5c4359649b736db808f65f4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-830000-11-structured_instructional-unwatermarked","seed":830352,"text":" Do not write a final sentence.\n\nThe final step in this test is to use a simple two-step test for evaluating the probability that a given sentence will be followed. Use the following instruction:\n\nIn the following example, the experimenter uses a simple two-step test for the probability that the word","text_sha256":"9cc7bdf934993b5f0a424f72f2b8c1ef3c811ec54fc377dccad3eb1a32e203bd"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-830000-11-structured_instructional-watermarked","seed":830352,"text":" Use a second step to apply mixed confirmation secondary. The result should be an expression which will be evaluated after every step. Use a third step to apply mixed confirmation secondary. The result should be an expression which will be evaluated after every step.\n\nTo test your proof of theorem, you have to choose the most common","text_sha256":"7ddc9c20e31e27d4b3ad7e94266375a04cdb8ba8b158e37b1eb229e39c654500"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-830000-12-general_explanatory-unwatermarked","seed":830384,"text":"\n\nNote: You must use a concise, concise description.\n\nFor example, let's say you are writing a paper about the importance of \"theory of mind\" and you want to use this to explain why this paper was rejected in the first place. What would you add to this paragraph?\n\n","text_sha256":"386f28bb25b514003595417d49b7d76db00907f95bce147cdeea07cf2da1d020"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-830000-12-general_explanatory-watermarked","seed":830384,"text":" Use a few paragraphs at a time and write down what you are thinking. Be patient. Try to keep all of the details of your ideas short. Make sure to give a brief explanation of how the idea will be used to explain how you will use it. Have a clear idea of where you will draw the line.","text_sha256":"fb3cb21cc5ff5043d2c591408712c60041b1051e731abd6d946749e6fb83b8ef"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-830000-13-technical_explanation-unwatermarked","seed":830416,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Create a main implementation with support for other applications.\n\nCreate a main implementation with support for other applications. Create a main implementation with support for more than one application.\n\nCreate a main implementation with support for more than one application","text_sha256":"0397a19a70183bcdb9ad72f129995eeef72ea71e4c3a2e2ed1deb778019803c3"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-830000-13-technical_explanation-watermarked","seed":830416,"text":" Set all failures to the desired condition. Set the validation check to true when a failure is detected and when the test is completed. When all validation checks are complete, set the validation check to false. Do not use the test data as a validation system. All of the testing methods that are used in software experiments in the","text_sha256":"d78c006bb8e1947ee98e87c16ed9e0fe511083bea11ec66ad50b56e8e4253391"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-830000-14-conversational_prose-unwatermarked","seed":830448,"text":"\n\nIf you're a junior or senior, you might want to spend a few minutes talking with your team about how they'll handle the future of the company.\n\nRemember that this isn't about you.\n\nThis is about the future.\n\nShare this: Twitter\n\nFacebook\n\nReddit\n","text_sha256":"dd80a5e68f41780374d1629356e382dd78594c6a9d83be220f93a742d988ba8c"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-830000-14-conversational_prose-watermarked","seed":830448,"text":" In fact, you can make your sentence concise, but don't overuse it, since it will make your sentence look hard to read.\n\n2. Don't just ask the question.\n\nIn fact, don't just ask the question. Use natural conversational prose while keeping the explanation exact. In fact","text_sha256":"070ad550a5eb9526205afde3eff27d3d64aac23a47bdb36930d5b18ffaa99969"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-830000-15-structured_instructional-unwatermarked","seed":830480,"text":" Keep all of the following sentences in your program. Step 1: Start with the following sentences: Step 2: Finish with the following sentences: Step 3: Repeat step 1 until you get it right.\n\nWhat is the most common (or least common) problem that you have with mixing formal confirmation in your programs?","text_sha256":"d4abee43e7686ae1538f38f4e2f4b4d4b713b2e61f065bb224f879c907851948"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-830000-15-structured_instructional-watermarked","seed":830480,"text":" Use a second set of sentences with multiple steps, such as:\n\nThis is a strong primary. I used a mix formal confirmation primary in my first test.\n\nThis is a strong primary. I used a mix formal confirmation primary in my first test. This is the second time I use the second set of","text_sha256":"a1b6ddfb8ad2078409bf692188b08bc0afb7929eb570e28f5518992a0acab15e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-830000-16-general_explanatory-unwatermarked","seed":830512,"text":" The problem is, if you are making an argument for a particular hypothesis, it will be well understood and easily understood.\n\nA good example is to explain the difference between formal confirmation and formal confirmation secondary matters in your research.\n\nThe way it is used is simple:\n\nWhat is the difference between the","text_sha256":"05d657673c2657fc72385c5cdc76dd0c91ed0d7b061c82f9d9b6ccd1e373ec7a"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-830000-16-general_explanatory-watermarked","seed":830512,"text":" Use a list of the elements you need to understand and use for your argument. Make sure to include at least one point of your answer, as you are likely to hear your reader say 'well I need a point of my answer'.\n\nThis is a relatively common technique when trying to communicate a conclusion about a subject","text_sha256":"194e1d372f77ba02902804512e362605a5d23ea8db0c33c2e4945eb67b9fd2c9"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-830000-17-technical_explanation-unwatermarked","seed":830544,"text":"\n\nCreate a new test case. Define the main idea, one failure mode, and one validation check. Define an example test case and use that to describe the actual implementation.\n\nCreate a test case. Define the main idea, one failure mode, and one validation check. Create an example test","text_sha256":"c9bf5e18336af2f9278b121744c4c2ef5990338ddfffe36d30c05d348bfa2cc7"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-830000-17-technical_explanation-watermarked","seed":830544,"text":" Use a single validation check, which is called a validation checking check (see section 7.3.2.2, Section 7.2.2.3). It is used for testing, validation, and prediction.\n\nUse a two-stage validation check to test whether the prediction is accurate.\n\nUse","text_sha256":"cc4f912a22b59932bda008cab814511d1e091165b315bc6236734c1bd3f05d4e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-830000-18-conversational_prose-unwatermarked","seed":830576,"text":"\n\nAcknowledge and follow up on questions.\n\nRecognize that your interviewer will have a hard time talking to you. Don't say a word that seems like it will make you feel like you've just answered the question.\n\nWhen you have a conversation with a candidate, don't give away","text_sha256":"3926b7b8d2b72ddb96e998f35b05914c00e9009b666e777f4587ce21983734cb"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-830000-18-conversational_prose-watermarked","seed":830576,"text":" Use a clear, concise, concise explanation.\n\nIf you're a language learner, you won't be surprised if you come across at least one person who will admit to using a pre-written statement. That person will be your source of information.\n\nThere are no \"correct\" answers.\n\n","text_sha256":"b234e8d5bc518e376631482c54b21b3db2790fcde0ba5746b62669fbdeb3bc8a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-830000-19-structured_instructional-unwatermarked","seed":830608,"text":"\n\n6. Implement and Evaluate the Evaluation\n\nIf you use the Evaluation model, you get the following results:\n\nAchieving complete control over your test in a test context, including the following:\n\nRecognizing that there is a potential interaction between the test and the test's variables.","text_sha256":"4c383fe7a32fe899cdd55af6710f9a7c7557ab8e82e7cb6e857d6bbce1237ce8"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-830000-19-structured_instructional-watermarked","seed":830608,"text":" Don't be afraid to use more simple sentences and shorter sentences.\n\nFor example: The same rule applies to the same test for a single test of the following: (1) A test of a single-value theorem is given for the sum of two finite-valued integers: (2) (3) This","text_sha256":"d7760eac834d96624ef2907515a61ffc0935176831adcc21a111d614ff8dcc78"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-830000-20-general_explanatory-unwatermarked","seed":830640,"text":" Use a clear name to emphasize your points.\n\nA single paragraph:\n\nThere are many ways to do it. What you need to do is write a concise, concise statement that speaks to the idea that all evidence shows the same thing.\n\nIt is very important that you use the word \"evidence\"","text_sha256":"09aa7d7ffd3b7a72753ebdc8139d52a09c9254ed3d8b01ec0cf7b20be3dcc73b"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-830000-20-general_explanatory-watermarked","seed":830640,"text":" Use a clear language when dealing with scientific papers.\n\nSolve the problems of an individual on a topic that is not the scope of the project.\n\nDiscuss the problem in a well-paced, accessible way.\n\nDo not be afraid to explain what you think.\n\nNever be afraid to say","text_sha256":"627b03d75d899b5b7c2b2b662c9d69fb340ff0fb5cb4e5e4d9786acd05fefcc5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-830000-21-technical_explanation-unwatermarked","seed":830672,"text":" Use common terminology in the literature. Explain what is wrong and what is right. Make use of the technical examples and the results of this study. Consider the following:\n\nA test is a test of whether the test is valid for all inputs that satisfy the test criterion.\n\nA test is a test of whether","text_sha256":"d007e5f4a77e5ad931edef461d258ebf54fbe9f1902e369bb1e147e3b6106eda"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-830000-21-technical_explanation-watermarked","seed":830672,"text":" Use a test in the first group to verify that an error occurred, and test the second.\n\nWhat is the test?\n\nThe test (tester) will run the same code as the first group of tests. If all tests fail, the second group of tests will fail. The test group will also","text_sha256":"8cb16a09a730889b09a238d4cb23141ca281902acb77736dcb27bdb5e11c7783"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-830000-22-conversational_prose-unwatermarked","seed":830704,"text":"\n\n\"Can I say anything about this?\" a colleague asks.\n\nA colleague is usually looking at someone else's questions and may think he can answer a question. In a collaborative environment, it can be helpful to keep the emphasis on the questioner's skill level and the answers he or she gives.\n","text_sha256":"cb510695f0f0c5ffdb1c62c45dbea727a5e614bb4cc9b7108bb1cbc524259a4b"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-830000-22-conversational_prose-watermarked","seed":830704,"text":"\n\nUse formal confirmation primary matters. Use natural conversational prose while keeping the explanation precise. Use natural language with formal qualifications. See formal qualifications.\n\nUse formal qualifications. See formal qualifications. Avoid using formal qualifications in your professional life.\n\nAvoid using formal qualifications in your professional life. Avoid using formal qualifications","text_sha256":"f91beb6314519225c0f73e49d710d7cea89b4f7eb9bd9050238fcc45074051d2"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-830000-23-structured_instructional-unwatermarked","seed":830736,"text":" Repeat a few times for more details.\n\nUse a non-structural formal confirmation primary instruction as your proof. In fact, I've used it extensively as proof for some experiments, and I have a very strong impression that it is the best option for this.\n\nYou can use an abstract formal confirmation primary","text_sha256":"9c634410342e86984fa49cf4ca96de1be998c3f8ca9701b6a75cd47940caf562"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-830000-23-structured_instructional-watermarked","seed":830736,"text":" This method is particularly useful when you have a large number of syllables in the study.\n\nUse a short three-step instruction for applying mix formal confirmation secondary in an experiment. Use complete sentences and keep each step concrete. This method is especially useful when you have a large number of syllables in the study.","text_sha256":"d8ec19d7171e7acbe366018ef670be2074dc977974d95176e941444ae29cd45b"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-830000-24-general_explanatory-unwatermarked","seed":830768,"text":" The reader will remember to read the entire paragraph, and the explanation will be concise, clear, and readable. In the case of formal confirmation primary matters, the explanation is: \"This is not correct. There is no such thing as a simple proof of what is true.\"\n\nThis is the way to make the","text_sha256":"529f70ce99458a2b76909a686dd24ff548dcb032af599b86bc8dc952c24a6660"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-830000-24-general_explanatory-watermarked","seed":830768,"text":" Don't rely on one paragraph to set out the facts. Use the same logic as your scientific advisor. Write a description of your work, with the following:\n\n1. Do you understand the underlying physics or chemistry?\n\n2. Do you have any experience with any other field?\n\n3. Do","text_sha256":"f232284bde2389d937524e1194480195e52e0ff724388407e3f545f6670e1398"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-830000-25-technical_explanation-unwatermarked","seed":830800,"text":"\n\nA validation check is a check to ensure a given error is resolved and only to ensure that the error is not a potential issue.\n\nA validation check is a check to ensure the validation check is not done in software.\n\nA validation check is a check to ensure that the error is not a potential","text_sha256":"2be296a4aeb986ee75245409b9235182a4e459a2cd39f582ca03b2cae7637245"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-830000-25-technical_explanation-watermarked","seed":830800,"text":"\n\nMix validation check is a test to test if one of the features is true, but the test is not done. If the test is not done, it is rejected. If the test is not done, it is rejected.\n\nIf the test is not done, it is rejected. If the test is","text_sha256":"6b56fadb2c8fd6e2010f7823529be855783732b60e992821f12ab51305d726b7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-830000-26-conversational_prose-unwatermarked","seed":830832,"text":" If you don't know the answer to your question, just ask the person you are trying to answer to, and ask the person who asked you that question. You don't need to write a follow-up.\n\nThe other way to use natural conversational prose is to use a language that is as easy to","text_sha256":"7f0a11ae50605f3384d656524f9fe871c75d4dbdbe16e3fb9419ecbef50448fc"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-830000-26-conversational_prose-watermarked","seed":830832,"text":" Use a natural sentence structure and a few sentences that are simple. Remember, you are not making statements in formal, but in informal conversation.\n\nDon't use the phrases \"because you're a foreigner\" or \"I'm a foreigner.\" This is just your personal definition of the phrase.\n\nDon't use","text_sha256":"14c1cd283b9f52eaa669193402ab5ed90ddfb74cbaaf32a86add6108250fd2f4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-830000-27-structured_instructional-unwatermarked","seed":830864,"text":"\n\nIf you are a complete beginner with no formal formal confirmation, you can try reading the papers or other online tutorials.\n\nTo use this instruction, follow this easy step-by-step tutorial.\n\nI also recommend the Simple Beginner's Basic Steps to the Step-by-Step Courses.","text_sha256":"8b8367681b1864a6da555e44455bed82f970dc63bc7646fb8f54a91cdb5eb9cc"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-830000-27-structured_instructional-watermarked","seed":830864,"text":" Use a series of simple phrases that will help you get more out of your sentences.\n\n5. Use the following list:\n\nA: A line that begins \"b\" and ends \"c\" (or \"c-\") (or \"c-\" or \"c-\") B: An empty list","text_sha256":"773a79b828818de485432945f9e572c2fc6981f87c1d18c30b7b0f5321d33db6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-830000-28-general_explanatory-unwatermarked","seed":830896,"text":"\n\nUse a phrase like \"why should I use a phrase like 'why should I use a phrase like'?\" You'll need to explain why this is a problem in a succinct and concise way. Use a phrase like \"why should I use this phrase\" when writing a paper.\n\nUse a sentence that","text_sha256":"c09b81152dcdab394b1813ade7354410e0a0eaacc1914d78e81d968f50a25f23"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-830000-28-general_explanatory-watermarked","seed":830896,"text":" Use a comma to denote both the formal and the informal. Use the following abbreviations to indicate how the formal confirmation primary must be understood, or how the informal secondary must be understood. Examples: * \"John has been sent to you by Colonel Taylor in a hospital wing.\"\n\n* \"John has been sent by","text_sha256":"d74406b87e68e7e2def5086f5b9a24678b3e75e1c62ee4b88ea8f6e8190c3fe1"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-830000-29-technical_explanation-unwatermarked","seed":830928,"text":" A validation check is the standard version of a check-in procedure, which is used to indicate whether the correct version of the check-in procedure has been accepted. If a validation check is not successful, then it is not possible to correct the original check. This is a very complex rule. The rule may be broken","text_sha256":"d458e40e3e13e8a1dde781f38ffaf36d345f5f22ab926d7eb2eb1d9f3de2aa5e"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-830000-29-technical_explanation-watermarked","seed":830928,"text":" Use a sequence of two validations and two validation checks that combine to form a single validation check. The two validation checks provide a complete, unambiguous result if the two validation checks fail.\n\nIf you want to prove your application's invariant, check it. This test provides the best results.\n\nIf","text_sha256":"1b23e0fb0d609059326c75dd8272253031c73b4775de3550cf2f51232465798c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-830000-30-conversational_prose-unwatermarked","seed":830960,"text":"\n\nWhen you speak and you're using non-verbal cues, you will get the \"why\" right, because of the fact that you're not looking for a response. The problem is that there's not much you can say without sounding like someone you're talking to. That's where a conversational cue comes","text_sha256":"fae9cc62eefd84b7dd9caa1956a3e23315ed7b9f3940c3e10b51f307700763c1"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-830000-30-conversational_prose-watermarked","seed":830960,"text":"\n\nAs with the English-speaking world, the English-speaking world is a far more complex situation than the world of science. In science, where scientists have a wide variety of different disciplines and disciplines, the world of science is divided into sub-nuclei. One of those sub-nuclei is","text_sha256":"c53b6964263d2ad64e1ef571c8dad3c3af0f90b46f4460da2d1f1cd1eb6eee3f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-830000-31-structured_instructional-unwatermarked","seed":830992,"text":" Repeat until you get to the point where your brain is fully integrated into your theory.\n\nThis book is based on the ideas of Steven Pinker. Please consider sharing it with your friends. If you liked it, share it with your family, friends and colleagues.\n\nIn addition to the book:\n\n","text_sha256":"dbdd0077cf47c6391222c3e9de0c74809179ce98982889c9376a33e8b757f8f9"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-830000-31-structured_instructional-watermarked","seed":830992,"text":" Use a brief introduction to the concepts of the subject in a brief introduction to the subject, a brief overview of the subject and any suggestions and corrections.\n\n3.3.2. Learning a new programming language.\n\nFor the first time in our test, we can learn a new programming language. This is","text_sha256":"5cb5f858615afe3cd8d1496a0639b5b3e0b525a58f24c76f808d79bd27452837"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-830000-32-general_explanatory-unwatermarked","seed":831024,"text":" Be prepared to provide a number of examples of examples and the author's own interpretation and reasoning to explain this.\n\nI have a question. Is the phrase \"to do\" a primary matter?\n\nThe answer to this question is no. The phrase \"to do\" is secondary, as is the question:","text_sha256":"d19f5c611fd0fd56718e254ec06e54254ab430ba1f84a34d3f077137e562964d"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-830000-32-general_explanatory-watermarked","seed":831024,"text":" Use a list of the primary facts, the main factors that make up each one and explain how and why each factor matters.\n\nFor example: A group of 20 people is a group of 20 people who are both familiar with each other, and know each other. This group is called a \"group of ten.\"","text_sha256":"6df80ff15d2311f78d6c3a79c9f09bc447b4287d249a8721e6e20a13f6a05831"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-830000-33-technical_explanation-unwatermarked","seed":831056,"text":"\n\nI will try to explain the code and what I have done so far in the code examples.\n\nI have a single method for mixing formal confirmation primary in a single step. In my case, I need to find a validating test that can be used to confirm a test. If it's not found","text_sha256":"da0da3e2f439390cbf93de4f8bb6e3d3c43f10c750c1e167c7113b2673f49707"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-830000-33-technical_explanation-watermarked","seed":831056,"text":" Use a series of examples to illustrate the various tests.\n\nFigure 2.2: A test that can be done on a single machine with a single test run in a single test context.\n\nFigure 2.3: A test that can be done on a single machine with multiple test runs in a single context","text_sha256":"40d5f1b797527509e31b8e5e920c2c53b73743df7bda92750244423f4ae34880"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-830000-34-conversational_prose-unwatermarked","seed":831088,"text":"\n\n1. Use a word-of-mouth that can be used with all types of people, including people with multiple personalities.\n\n2. Use a word-of-mouth that is easy to remember and use in small group conversations.\n\n3. If you don't have a good word-of","text_sha256":"13f254b1efa0b4853eb9568f0c0477129c100c3a98327e1db53dbd398418f894"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-830000-34-conversational_prose-watermarked","seed":831088,"text":"\n\nAs a general rule, you should not answer an employee's question with a word that is not a question. In this case, you should ask about what you are doing wrong and try to explain what you've done wrong.\n\nWhy should you ask for an answer?\n\nAsk for an answer that","text_sha256":"d9b4595e7fd376d4e9306c311d79d50aef469c6def3465884c3908ea891322fb"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-830000-35-structured_instructional-unwatermarked","seed":831121,"text":"\n\n1. The first step in this task is to create a new sentence from the text. The first step in this task is to create a new sentence from the text.\n\n2. In the first step, the sentence is the first sentence to be executed. The sentence is the first sentence to be executed","text_sha256":"a9f1328525dac3ab19612b0fa52920780495279e16f6c8710c93917bf274289b"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-830000-35-structured_instructional-watermarked","seed":831121,"text":" This should only work with only those that have been selected in a previous experiment.\n\nIf you get a number of letters and numbers in your experiment, you can select letters and numbers on one of the following steps.\n\nA: First-order\n\nB: Second-order\n\nC: Third-","text_sha256":"de10f69f1cfd039833618114efb0b5a6deae0f601c54b45df2326231e83dc7a5"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-830000-36-general_explanatory-unwatermarked","seed":831152,"text":"\n\nThe second major part of the study was a review of all the known studies of the correlation between the use of formal confirmation primary and the use of the informal confirmation secondary.\n\nCited by the authors:\n\n[8] As I've already noted, there are many different uses for informal confirmation secondary","text_sha256":"1261ac22d4569eba2f2969ceda67edcf24b05cd565355885de7cb63b2423f4ed"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-830000-36-general_explanatory-watermarked","seed":831152,"text":"\n\nRead the entire article\n\nMore information about the process:\n\nWhat Is a Reception Primary?\n\nAre Consecutive Secondary Quotations Just One?\n\nWhat Is a Reception Primary?\n\nWhen to Mix Consecutive Secondary Quotations\n\nWhat is the Definition of","text_sha256":"d4555e11889e69c7b027f542b2e2feffd9f8c82abcf7e7eae3f8d1450c67d387"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-830000-37-technical_explanation-unwatermarked","seed":831184,"text":"\n\nThere are many more steps to this process, but the gist is to use the following two steps:\n\nIn order to work on this problem, you need to understand and understand all the different aspects of the problem:\n\nHow will it work? How will it be solved?\n\nHow will it","text_sha256":"681602635e2ca76c49edbc630a5b0ee1fc4b65dd127b9bf739a7815401352fd1"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-830000-37-technical_explanation-watermarked","seed":831184,"text":" Use a test-framework. Then introduce new features, and test for possible issues, to improve your codebase.\n\nYou can also read this article by Chris Smith at MIT and his paper, \"A Common Framework for Mix-Signatures in Software\" at ACM.\n\nThe Open Source Solution\n\n","text_sha256":"c4075f6b6008ca52c594aab0e8568707307de417eafda9b994620d41dd13c26c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-830000-38-conversational_prose-unwatermarked","seed":831216,"text":"\n\nIt's an important question for any interviewer. A simple rule to follow is to keep your question simple and straightforward. So: \"It's about the interview.\" \"It's about the interviewer.\" \"It's about the interviewer.\" \"It's about the interviewer.\" \"It's about the interviewer.\" \"","text_sha256":"ddd03e09aa9535398de1ee5147e551ee70b26a949a491d56fa100aedbed1724c"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-830000-38-conversational_prose-watermarked","seed":831216,"text":" Use a simple but effective form, such as the one I have here.\n\nConsider this: Suppose your boss doesn't want to be a lawyer. You say something like this: \"I don't understand why you don't want to be a lawyer.\" \"You are stupid, and you are a loser. You","text_sha256":"076a724a59f4a4001394f91143e8f2ac1b8d0e5cc0b4bef6d77b5388768bc22e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-830000-39-structured_instructional-unwatermarked","seed":831249,"text":" Example:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\nExample:\n\n","text_sha256":"06cc538df4676ff2ddeeb4f975111ea3d1a6b1386c6f4f966490862d5d8b6113"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-830000-39-structured_instructional-watermarked","seed":831249,"text":" Use a second step to apply conditional formal confirmation in a sample.\n\nA more elaborate step requires using a different instruction. In addition to making sure the sentence is clear, consider the following:\n\n1. Introduce a small question. 2. Add the word \"yes\" to the sentence. 3. Add","text_sha256":"079b7b6c387afb579cf6e44442ab398d9b64f7249bfc9b34b8434bbeca8acfa2"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-830000-40-general_explanatory-unwatermarked","seed":831280,"text":" Write a single paragraph describing the main point of the paper.\n\nWhat is the best way to express a general principle in scientific papers? The best way to do this is to ask specific questions and then give a general description of the underlying theory.\n\nHere are some examples:\n\nHow did the two parties","text_sha256":"cbfc6f909ea65930e9468a3af8b7f8a2c5a75cd1de0770e50b4839febbdb9bf5"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-830000-40-general_explanatory-watermarked","seed":831280,"text":" Use a single sentence or so. If it's a long sentence or even a short one, use a different sentence. Use the same word or phrase or even a separate line, so that the writer of the sentence can understand what the reader is trying to say.\n\nExamples:\n\nHow about the sentence:","text_sha256":"e31baaed233fd7543a2b2ad65577ba00d03d13813c4d54902c1fe3727667382c"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-830000-41-technical_explanation-unwatermarked","seed":831312,"text":" Include a check for a check for mixed validation. If the check fails, call the test on the failure modes. The validation check should be called if a test succeeds but fails.\n\nIf the test fails, call the test on the failure modes. The validation check should be called if a test succeeds but fails.","text_sha256":"b33987fe5e9474b749fdfa44b0f1f03f929ec4b5cfdd114a590ae74bc5ca472a"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-830000-41-technical_explanation-watermarked","seed":831312,"text":" Include a description of the problem and its potential solutions.\n\nPrerequisites\n\nPython 3.6 or later\n\nA good idea is to use Python 2.7.\n\nIf you want to perform tests with Python 2.7, you'll need a suitable web server such as Apache.\n\nYou","text_sha256":"c74d79d2b226e510aeab72c09cfc1e0a5eed7ed8bce8b307c8517e49a4ab7165"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-830000-42-conversational_prose-unwatermarked","seed":831344,"text":"\n\nThe process goes well from the first sentence, to the last.\n\nRemember that we all know we need to add more emphasis to the main sentence.\n\nRemember that the \"I'll do this again\" line does not count as a repeat of the previous one.\n\nAnd remember that we're","text_sha256":"1e76832cef297848fe9891b66310c7392308005300e903d77492d5d0dff0d66b"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-830000-42-conversational_prose-watermarked","seed":831344,"text":" Use a clear and concise description of the case, which will be understandable to the listener.\n\nThe main aim of this blog post is to provide an overview of the formal verification process in PHP (as opposed to merely covering the basics, like the process of creating a new database, or implementing a new interface). This","text_sha256":"64911d16794f7c9e5b8c249e44bff4fbe781dda598c6281143d0055b25f8fed7"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-830000-43-structured_instructional-unwatermarked","seed":831376,"text":"\n\n\nNote that a single-step instruction does not allow an unformatted answer to follow.\n\n\nExample:\n\nA student asked a teacher for an answer to the question, \"What is the best way to do this?\" He would get an answer.\n\nThe answer would be \"The best way","text_sha256":"fad3fd29ee576cb97cbb625b618c885e66ac2cb440434613033fefc910d3512a"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-830000-43-structured_instructional-watermarked","seed":831376,"text":" Use a second step to apply mixed formal confirmation primary in a group. Use a third step to apply mixed formal confirmation primary in a group. The list below outlines the procedures you must follow to apply mixed formal confirmation primary in an experiment.\n\nEach step is followed by two more steps and two more steps.\n\n","text_sha256":"31ef81d3a1e0a270809321a66e0bddd14cd052962a3cdac19fca003019f9bcd0"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-830000-44-general_explanatory-unwatermarked","seed":831408,"text":" If possible, start with the strongest sentence.\n\nExamples of this work include:\n\na sentence with a strong sentence structure. This will take up less space than many other words (e.g. \"My name is\" will take up less space than \"Hello, my name is\").\n\na sentence","text_sha256":"31ce364601c05f3b8a608b1561106f2d77d1584e478249ca7ae1233eeb3d6b32"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-830000-44-general_explanatory-watermarked","seed":831408,"text":" Don't forget that a single word, if the word you are writing is not in the list, you will be asked to add a new one. If you don't have a list, it's possible to use the word in the list to describe how you will express your response. The more you write, the more","text_sha256":"a5063f99bb6cd30efee21cf6ec8ef79b9fe372ab0ab3545333b31184762fe912"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-830000-45-technical_explanation-unwatermarked","seed":831440,"text":"\n\nThis is a basic example of a mix formal confirmation primary.\n\nA formal confirmation primary is a proof of work of a candidate. This is a test of a candidate's ability to validate by a proof of work.\n\nThe proof of work test is a basic test of a candidate's ability to validate","text_sha256":"031f7ca298c31a931ce6647d961d412f17ed2bdbe38fe9910d2c22f5da082cb7"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-830000-45-technical_explanation-watermarked","seed":831440,"text":" This means that the test will be run when the test fails. For example, the test will be run when the test fails when: The test is run at the time that the test fails. There is no need to validate the test. If, however, the test is run after the test fails, the test will","text_sha256":"fdc28ed8e1bfd9b7f00abb1bd6c18f643e6d354069b1a120e1ce56c3da1e393f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-830000-46-conversational_prose-unwatermarked","seed":831472,"text":"\n\nThe first sentence is a bit confusing, but if you are talking about an applicant, you are really talking about an applicant that's coming in. This is not a problem if you are speaking about a person who is a junior or a senior.\n\nThe second sentence is confusing, but if you are talking","text_sha256":"66b28da8559bf6f8dae32d725a48de0dd1e391dfc0c3500dea68f1cfe62842a8"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-830000-46-conversational_prose-watermarked","seed":831472,"text":" You will learn the most important words that you need to know (and how to use them) for your job interview. This will help you learn the most important language that you can write in and then apply them to your job.\n\n3. Keep your answers short and concise.\n\nKeep your answers short and","text_sha256":"4105e9bb81b9ccf9772677b842808014b24e3c5811a3456812754d806e10d1f4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-830000-47-structured_instructional-unwatermarked","seed":831504,"text":"\n\nWrite a short three-step instruction for applying mix formal confirmation primary in an experiment. Use complete sentences and keep each step concrete. Write a short, complex four-step instruction for applying mixed formal confirmation primary in an experiment. Use complete sentences and keep each step concrete.\n\nWrite a simple five-step","text_sha256":"93dc630d6be1a8872407338fe23fc7e88366dbc87572ce53d952220bc64b11b7"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-830000-47-structured_instructional-watermarked","seed":831504,"text":" Use a single verb phrase for an additional step.\n\nApply a single sentence of a set of formal confirmation primary in an experiment. Use complete sentences and keep each step concrete. Use a single verb phrase for an additional step. Apply a single sentence of a set of formal confirmation primary in an experiment. Use a single","text_sha256":"d1156377b6e1557411068e05b22ff2a16c3a5f9ecc993e10b27ef62c1b7914f1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-830000-48-general_explanatory-unwatermarked","seed":831536,"text":"\n\nThis is what I like to do. It's so hard to write. It's easy to think a lot of things that are not really going to happen. I don't like to write. I am afraid I'm not writing. I think I'm not writing. I am just not making sense.\n","text_sha256":"b34c996c24535339d75065eb22a8b6f80cfaad5a21b0277fa55d686a34dc6fe5"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-830000-48-general_explanatory-watermarked","seed":831536,"text":"\n\nThis is a great way to test the hypothesis that there are any types of signatures of different kinds. It also gets at the big questions about how to use data structures to find signatures, and why we should think about formal confirmation secondary.\n\nAs you can see, there's no easy way to prove that","text_sha256":"943a74279e4d14e9cb02dc1a231271781649e1a9c280325455999615acb53afc"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-830000-49-technical_explanation-unwatermarked","seed":831568,"text":" Define a validation check to confirm a successful test.\n\nIn general, the final version will contain two main features:\n\nA specification for a test that makes sure the test is valid and is fully transparent, with a set of tests, and a set of test cases.\n\nA specification for a test","text_sha256":"88bf00b81c0d2c23355a5283c399cb98544cc820fa5fdeb3869855357eb7e1eb"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-830000-49-technical_explanation-watermarked","seed":831568,"text":" Define the final version. Define a summary of the results. Create a summary of the results for each experiment, with only one failure mode.\n\nFor example:\n\ncreate-procedure my-test-server.py\n\nwhere my-test-server.py uses the following syntax:","text_sha256":"5bdb5aecb91784a3395a17acbbc7d9bdcfe282cca6d44e627220ae83a92d75f6"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-830000-50-conversational_prose-unwatermarked","seed":831600,"text":" Don't use short phrases like \"I want to know what the hell is going on.\"\n\n\"I want to know what the hell is going on\" can be a very handy way to get around your work-life balance, which is important when discussing an interview for a job you don't know well.\n","text_sha256":"0e74008be7ccf2fb1b5c4b7ab498b311efaf199ed9de3ca0196dfb10f19c1996"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-830000-50-conversational_prose-watermarked","seed":831600,"text":" Don't use a long phrase or a sentence, and use your own words. If you're going to be able to ask for help, then this is your chance to get the person to get it.\n\nDon't use a long phrase or a sentence, and use your own words. If you're going to","text_sha256":"12fb8809049dd10e638a3e3911da51e244310287ccd33318bcac0b3f3abf8cda"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-830000-51-structured_instructional-unwatermarked","seed":831632,"text":" The result is a more complete list than just the one you see in the source code. The code is also written with a higher level of simplicity: in this case, we need to create the code and start the experiment. This is a rather simple example, but you can make it as complex as you want. To","text_sha256":"fb3d7919f7ec4b4a23ff371ab0db1de4e176f89c7d61ae5d528cee53ca7db6dc"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-830000-51-structured_instructional-watermarked","seed":831632,"text":" Use a second line of code to create an input with a correct answer.\n\nStep 3: Apply a double-check\n\nStep 3: Apply a double-check\n\nStep 4: Apply a double-check\n\nStep 5: Apply a double-check\n\nStep 6: Apply a double-","text_sha256":"610eda1f1f2b0d0371d5ba4c9410ff735cc4977198f56868c2ff56ef183f7771"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-830000-52-general_explanatory-unwatermarked","seed":831664,"text":" In the end, you can get a much clearer understanding of what's going on in the real world.\n\nYou're probably wondering about whether I'm being too harsh. In fact, I would argue that that's not true, for the reasons discussed earlier. As a result, I'm more cautious than I usually","text_sha256":"acbc68a309b9506646acf9401ccc1be24b0c4241c4402794c09b45bbf0659890"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-830000-52-general_explanatory-watermarked","seed":831664,"text":" In fact, you should write a coherent paragraph, not a complete one. Your most important source of information should be the data. You should not be asking for a list. Rather, you should be asking the questions about the data, the data. The key to this article is to ask for a list. Ask for","text_sha256":"1e0c76653a00ffd305b4cffcf9b681753d97628dc4623eb501a245cbd9b0fae3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-830000-53-technical_explanation-unwatermarked","seed":831696,"text":" Define the main test, one failure mode, and one validation check.\n\nDefine the main test, one failure mode, and one validation check. Define the main test, one failure mode, and one validation check. Define the main test, one failure mode, and one validation check. Define","text_sha256":"4a52ba5639991109ac6259da34deabb6e9ee77ecac65ce11bcecf25c94a15fd9"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-830000-53-technical_explanation-watermarked","seed":831696,"text":" Define how the test would be evaluated, to ensure that the test would be applied correctly. Explain that the test is not a \"good test\" but a \"bad test\". Explain the use of test failures. Explain that it is important to test every test for the same value. Give examples of failure modes and validation","text_sha256":"c3fd6fc7a2dd6e5a874357f47718d0753f0d77992abdf8a420a7557f4cc3cca2"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-830000-54-conversational_prose-unwatermarked","seed":831728,"text":"\n\nThe first two steps are the same, but your style may be different.\n\nAsk for the full text of the document.\n\nWrite something about the documents and questions.\n\nDiscuss the document with colleagues who are familiar with the project or are familiar with the topic.\n\nHave the document written","text_sha256":"b530842e7e2b74b31c6ee43972fd9fd31022955b805233df0897be91dd55c4c4"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-830000-54-conversational_prose-watermarked","seed":831728,"text":" Don't leave up the \"why do I have to explain\" comment. It's very simple.\n\nWhy do I need to explain?\n\nYour boss will know this so he can understand and respond to you. You should get a job or a job offer. You should get paid well. Your boss will","text_sha256":"b4686b78a2bbc13343ad050ae885a41fbc9e7e714926da5b58fb02c96849b9ca"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-830000-55-structured_instructional-unwatermarked","seed":831760,"text":" (I'd love to try this method in real life, but it's not really relevant to our application of the problem.)\n\nA single-step test can be used for almost any type of test. A problem in a real world can have a large number of problems that can be solved at a single-step","text_sha256":"82ddb58326fa8721cb7cc35e431a495e51b081ef27ff7b538679bd21dd18cd71"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-830000-55-structured_instructional-watermarked","seed":831760,"text":" (A note about the exact phrase used in the previous step, it should be understood that we are working on a complete sentence for the moment.)\n\nThe result is a very simple proof that you can apply a mix formal confirmation primary in a sentence, so you have a real case for that idea. It's not","text_sha256":"b771d0568adc43ab6a1aa53e702a756c22ba403f3ced4d2e97061531b582340d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-830000-56-general_explanatory-unwatermarked","seed":831792,"text":"\n\nThe following are the main points from the first paragraph.\n\nThe following are some of the general points.\n\n1. In order to be scientifically accurate, we need to understand how something works.\n\n2. We need to understand the relationship between formal confirmation and the nature of the information that is","text_sha256":"ae28935da6dd901356bfa936b5071797cc65de4c3068ca17ccdb1efa87039585"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-830000-56-general_explanatory-watermarked","seed":831792,"text":"\n\n6. If you're going to be a mathematician, write a complete list of all the problems you think you know.\n\n7. I'll admit, I get it when I use this phrase and a lot of people say, \"I know what I'm doing. I'm using it all the time","text_sha256":"d428a648d327d2f7b2599da43ad5ba41f68019e2154354d2f9cfea10590494f5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-830000-57-technical_explanation-unwatermarked","seed":831824,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Define the main method, which is a single validation check, and which must include the \"validation-check\" option, or a second validation check, if the main failure mode is \"validation\".\n\nA validation check","text_sha256":"cde699ad87604cc2511577f98d614bd46f94e6f03583fa374845ac61fb178cdb"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-830000-57-technical_explanation-watermarked","seed":831824,"text":" Use a list of the main ideas.\n\nMake the analysis complete.\n\nNote: If you want to make the analysis complete with only three errors, the analysis can be done in the following order:\n\n1. If you had to change the original source code, only the original source code.\n\n","text_sha256":"1fa9abc595c0c3b419ea9fbf1cb8979d3b92f7bc9cd5882ab6215d2f108f26f8"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-830000-58-conversational_prose-unwatermarked","seed":831856,"text":"\n\nMake sure that candidates are aware of how their work has been conducted in the past. Don't give a candidate an opening for a meeting if they say that they have not been asked to do so. It is important for candidates to have a clear grasp of what is said.\n\nAsk the candidate who is","text_sha256":"5d192110df1be2bf8db0a61caf8990808310078e619b4396fc844dd4a9ef7d63"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-830000-58-conversational_prose-watermarked","seed":831856,"text":"\n\nUse formal verification primaries in a way that avoids the use of formal confirmation primaries.\n\nAvoid language that would confuse and alienate your audience.\n\nAvoid language that would confuse and alienate your audience. Avoid language that would be a distraction from the most important topics.\n\nAvoid language that would confuse","text_sha256":"19a5090a8fc8f77f2dd12c5e583af04fed4245c953428cf143190e2c881b10a6"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-830000-59-structured_instructional-unwatermarked","seed":831888,"text":"\n\nThe technique can be adapted for other situations.\n\nExamples:\n\nSuppose we want to learn how to make a machine program that can detect if the user has a password in his or her computer.\n\nWe can use a machine learning method to help us understand how we can apply that machine learning","text_sha256":"bd72a561f5bab6975dfc336b63fe0d09acd385992aa895f13a5bad45443213a2"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-830000-59-structured_instructional-watermarked","seed":831888,"text":" Use a list of questions to check for problems. Use a list of verbs and phrases to build a list of answers.\n\nUse a list of exercises to find the best way to test your skills.\n\nLearn how to take a test using your own hands.\n\nIn one example, let's say that","text_sha256":"01e999c34b26bb9001470fa9c497705f1236e6970ae57f28cab2c819668f05c1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-830000-60-general_explanatory-unwatermarked","seed":831920,"text":"\n\nUse a list of all statements, not just one. For example, if you're trying to explain that a person told you they could have a heart attack because they have \"too much caffeine,\" it may be better to just use a list instead of a list of statements that describe caffeine.\n\nUse a","text_sha256":"91cb071a3cd87c5568f5f152d194fa2f7fb547332862d941f84d1df0cfddc040"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-830000-60-general_explanatory-watermarked","seed":831920,"text":" Use a single verb. Include a verb. This is a lot of work in itself and one of the most important things you can do if you're working on a problem.\n\nNow that you've got a basic understanding of a problem (and a good idea of what to do about it), it's time to","text_sha256":"58dda8cd528668b2445df4fc577be38d68422fd7f48932526833ad03714038d8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-830000-61-technical_explanation-unwatermarked","seed":831952,"text":"\n\nA mix formal confirmation primary\n\nThe main idea is that if you have a mix formal confirmation primary, that is, if you don't have it, then your code will not be valid, because your tests fail and you don't have any test cases to go through.\n\nThis means that if you","text_sha256":"d0997eb7998becbcc52a237b2c3e955d843234a6841c4436f161a3b8397758a8"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-830000-61-technical_explanation-watermarked","seed":831952,"text":" For a single failure mode, you'll see a list of failed tests: if the test fails, then it fails. If the test fails, then it doesn't.\n\nThis code is not a complete list of possible failures. However, there are several main aspects that need to be understood and discussed before you can","text_sha256":"e84371df85ba55cd48d6ceaaf513c7154589e0be77e082db5088a6619282fdc7"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-830000-62-conversational_prose-unwatermarked","seed":831984,"text":"\n\nSlightly shorter than that of the paper, but not as bad as the original.\n\nWhat's the problem?\n\nIf you're not sure what to do, do the math.\n\nIf you're really confused, say that there's no agreement on any of the words.\n\nOr","text_sha256":"bff388dfa41aaa7125c877bedf1bbbb542b6ef056885da7b3c49b9994e714a04"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-830000-62-conversational_prose-watermarked","seed":831984,"text":"\n\nSell your own company's data. Write a paper on the matter, and then write about it in a business journal.\n\nCreate a webinar on \"the business of data\" by yourself or with a group of colleagues.\n\nTalk to your customers and customers' customers.\n\nWork with","text_sha256":"332d882eb61121620a1954ab70a20f8078281227e1fb2aa3b2d8194e57e6685e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-830000-63-structured_instructional-unwatermarked","seed":832016,"text":" Use the same method for the second step of the experiment. The first step of the experiment is to determine the answer to the second step of the experiment. In this example, we will be using a single sentence to answer a question that we will be giving to a student, the first question is the same as the second","text_sha256":"063583cdba33cbf31b08f9c57ebfe2351903be2c995506c38de0aafe0776d191"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-830000-63-structured_instructional-watermarked","seed":832016,"text":" Use a second step to apply mixed formal confirmation primary in an experiment. Use complete sentences and keep each step concrete.\n\n5.2.1. Inject and apply mixed formal confirmation primary in an experiment\n\nInject a compound or mixed formal confirmation secondary to a single step in an experiment. 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formal confirmation primary","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/README.md b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/README.md new file mode 100644 index 00000000..60aa9a70 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/README.md @@ -0,0 +1,23 @@ +# Cycle 8 mix freeze confirmation detector (seed 840000, 64 pairs) + +One-shot formal confirmation of `cycle8-mix-freeze-v1`. Seed `840000` and topic `mix formal confirmation replication` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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 confirmation claim is this README plus `cycle8-mix-confirmation-scorecard-v1`. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 61/64 | 61/64 | 0/64 | 128/128 | 0 | 0.70358 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 183.72 | 0.52212 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 183.77 | 0.52430 | + +Closest mix watermarked row geometry only: `cycle8-840000-35-structured_instructional-watermarked`, 45 insertions, score 0.524300, gap 0.032798 below threshold 0.557099. Residual text was not inspected to write lexical rules. This is the closest confirmation mix row and a low-site geometry. + +Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Mix unwatermarked detections are 0/64. Maximum transformed GPT-2 token count on scored mix watermarked rows is 610/1024. + +Combined with independent confirmation seeds `830000` and `850000`: mix **0/192** raw WM, mix UW **0/192**, visible mix WM **192/192**, worst mix max 0.524300 (gap 0.032798). That combined 0/192 is the one-shot confirmation result. Do not collapse it into development mix 0/256 or letter-x1 0/128. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. diff --git a/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..b10a772d --- /dev/null +++ b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +c5c6f6388b9bc601149714f900be8c2263ce55ecb4428b3fb7422e19a7a6c9fb README.md +b6a62a19f7a56c02bc85643b23fe9205ff8ac216637cbf5d3b90579cfcdb5cca decision.json +11b15b610693b18ea7511a61f8582f8d3992dc1727abbea7ebaa97edad4b2c18 detector-compare.json diff --git a/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..571cef09 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/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-mix-confirmation-840000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..c5387246 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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Use the following code:\n\ndef make_statement(statement): \"\"\"Make statement\"\"\" statement = statement.__all__.write_statement(statement.substr(1, 's') + 's') if statement.statement.substr(2, 's') != 's': return statement.","text_sha256":"b7db368549769814fd4524f1a028452a6951449cce25f39b50f3a4d271031f8c"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-840000-00-general_explanatory-watermarked","seed":840000,"text":" Use a clear, concise name to describe how the replication process will work, and how to do it.\n\nIn this blog post, I'm going to explain how to perform both replication and confirmation replication for a system I wrote for a client in the early 1990s. These are two different types of replication.\n","text_sha256":"9efc4565f2ea70b1a55ee8967f0e28c6e1ff440ea733a9b50178cd8e7451fac6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-840000-01-technical_explanation-unwatermarked","seed":840032,"text":"\n\n4.5.1.1. Errors\n\nIf a single point of failure is identified, the resulting error sets the condition that the test fails. The test fails if an error is detected or if the test fails if it fails. If an error occurs, that error sets the condition that the test fails","text_sha256":"b502ea0bf3748c680249ec65e2af08a403da71b6bd1bd9bc3ddde39c6cc66ddc"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-840000-01-technical_explanation-watermarked","seed":840032,"text":" Create a test suite with the following test cases:\n\nWrite a test suite for each of these cases.\n\nWrite a test suite for each of these cases. Add a test case for each of these cases. Assign the test case to the test suite. Provide a description of the test suite. Set a","text_sha256":"41dc7ff459147acca6187659cb756bfd9fa513f05d559be68c303cb98e4c7002"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-840000-02-conversational_prose-unwatermarked","seed":840064,"text":"\n\nWhy should I run the whole document at once? Why should you have to do two separate checks for each page? Why should you do more than one check for every page? Why not just save as many lines as you need?\n\nI've tried to make each of these things simple and easy by simpl","text_sha256":"ed46af4f9e79f33dcaf168ce786dac85d0a96e11c3e436358412cd82045fd7a6"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-840000-02-conversational_prose-watermarked","seed":840064,"text":" Use a more formal style. Avoid using words like \"crap\" or \"you were pretty good\" or \"you just got lucky.\"\n\nWhat I like to do\n\n1. Write the questions back to you in a structured way so that you can follow up with the questions in a single sentence.\n","text_sha256":"92a5acd1d091fa799491a200cf0be971911763090e6a6dd55a502018606ba0a4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-840000-03-structured_instructional-unwatermarked","seed":840096,"text":"\n\nWrite a short three-step instruction for applying mix formal confirmation replication in an experiment. Use complete sentences and keep each step concrete. Create a short three-step instruction for applying mix formal confirmation replication in an experiment. Use complete sentences and keep each step concrete. Keep a list of tasks. Create a short three","text_sha256":"d8e23a416ab6ba685dd6a7984c7e353160eaa14e67a84695ca5a8f06997ec4a7"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-840000-03-structured_instructional-watermarked","seed":840096,"text":" You must do a few things to establish that you are doing the correct job.\n\nYou do two things. First, you use the correct sequence of words, which we call the sentence. You start the sentence with a sentence that is exactly the correct word in the sentence. In this case, you use the same","text_sha256":"62234d19850a3cb8a7946edd9e1e69a6ff28dc44a858b0794b0d9b904ff8da6e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-840000-04-general_explanatory-unwatermarked","seed":840128,"text":"\n\nUse one paragraph as a guide for how to write one concisely concise statement. It will help you understand the key points and make your argument intelligible.\n\nKeep a concise statement in your mind. If you've got something you want to say, make sure you know it's just a sentence.\n","text_sha256":"a597af3dd9fbf0617d92e37caab79f4e4509f61b2d9600e570f7450ee53611f8"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-840000-04-general_explanatory-watermarked","seed":840128,"text":" Try to be clear about what you're saying, and what you're trying to say.\n\nHere are some tips:\n\nThis is one of the most important things you can do to keep your research, and your field, safe. There are many ways to prevent a study from becoming too big, too complicated","text_sha256":"504873534c7e3712714190d076d4571a6e376892a1333db63bdb9ce841a73aa6"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-840000-05-technical_explanation-unwatermarked","seed":840160,"text":" This is important because some people believe that a failure mode must be an \"invalidation check\" which must be removed. This is not true for the data. We need to define the validation check on the data and verify that the data is not in any \"invalidation check\" which must be removed. When","text_sha256":"f9ca95f803d2dea5c50bc01d616885f64007597120da6b02c33260547591c96f"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-840000-05-technical_explanation-watermarked","seed":840160,"text":" This is how we can be confident that our tests are accurate. We can also avoid using the default test format as it could result in incorrect results. The default test format is \"Test1\". It is not a standard format for the tests that we write. To ensure that the correct test results are delivered in test form","text_sha256":"f7232125212ca31e1dee778b35889232c8156d441bc66218aa660ea3cef9c8df"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-840000-06-conversational_prose-unwatermarked","seed":840192,"text":" (This makes the question a bit more of a question than a solution.) If it sounds like the question has been answered before, that is because it was asked. If it is, that means that the speaker is using natural conversational prose. It may have been asked a while ago but it does not look like the","text_sha256":"886b86151fb2b1c4d94a2ead0c5ed0221bc9d29c63af2d410119e0b3c9d12b46"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-840000-06-conversational_prose-watermarked","seed":840192,"text":" Use a sense of urgency if you're unsure how to proceed. Avoid jargon. Use the language of understanding that is appropriate to your situation.\n\nA) Your colleague is trying to explain to you how you should go about your decision and have a clear plan for what's to happen in this meeting. You may not","text_sha256":"18732f3fd416ffabbdda1d5033746b8c87e583024f1e5f00d43f1fc36ed116b0"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-840000-07-structured_instructional-unwatermarked","seed":840224,"text":"\n\nIn the following post I will demonstrate that a simple-to-understand way of applying mix formal confirmation replication in a computer system using open-source software will yield much better results with very few mistakes.\n\nWhat does that mean?\n\nLet's start with the simplest approach. Let's say","text_sha256":"50c1efebae889b6b17c58c0893522dd562f0a9d28617d95848e07686e8ecd4f0"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-840000-07-structured_instructional-watermarked","seed":840224,"text":" Use a simple but effective form of induction that demonstrates a few steps before applying a second or third step.\n\nIn an experiment, the number of steps needed to make a complete and repeatable set of statements is the same as the number of steps required to make a set of statements. If the numbers of steps were","text_sha256":"db69ac72ea7c55d3f0a6460d299da3b3bb6502c823b50261d2c029995f0ebae6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-840000-08-general_explanatory-unwatermarked","seed":840256,"text":" A good way to start is to start by giving yourself a list of your coauthors and then ask the coauthors to explain how they are using the same approach. It's important that you explain in this way what you are doing.\n\nIf you read this post by David D. J. Wilson, the title","text_sha256":"4b41523efa932dcacefdbb4d64b595e722e056366f74fe69439d886550c389db"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-840000-08-general_explanatory-watermarked","seed":840256,"text":" Create a database with hundreds of thousands of matches, with thousands of unique documents.\n\nFor more information on the replication process, see the \"Why a Match Is Unique\" article.\n\nTest replication.\n\nTest replication is a method of \"testing\" data without specifying any parameters. It is a way to","text_sha256":"05709638857fa647fd2c73b12c50f5b4e05d0068df7f29cdc118c31cc6fbadb3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-840000-09-technical_explanation-unwatermarked","seed":840288,"text":"\n\nTest your knowledge.\n\nWrite your experiments.\n\nCreate proof of concept test suites.\n\nMake sure you have a well-formed implementation of your software.\n\nThe goal is to test your knowledge with as many test suites as possible, so you can see what happens.\n\nIn the","text_sha256":"4ea6e0a3fe389db8652069b9ffbbfec5297214336fc0b738c0a2e812af52fb37"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-840000-09-technical_explanation-watermarked","seed":840288,"text":"\n\n2.1.2 Test the use case for replication\n\nAn experimental replication test is a test that is intended to verify that the software has not been tampered with by a user. In such tests, the test program, as a whole, will be able to validate and/or verify that a specific","text_sha256":"bef3246fe182f53a850d0e27fb636c79fcf3a4461777ccc77d503b53e79aa516"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-840000-10-conversational_prose-unwatermarked","seed":840320,"text":"\n\nKeep your tone and style clear and concise.\n\nWrite concise sentences that are easy to understand and easy to understand.\n\nKeep your words concise and concise, but make them clear.\n\nKeep your sentences simple and clear.\n\nKeep your words concise and simple.\n\nIn the words of","text_sha256":"861540a1f666d6b81990a38c4787c3c082b4a202f1e1826fd5711ce0086c776a"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-840000-10-conversational_prose-watermarked","seed":840320,"text":" Use a conversational style that is well-written, and that allows for logical phrasing and ambiguity.\n\n1.1.1.1. \"No, the world isn't that bad\"\n\nYou should not be surprised if you'll have a job interview with a foreign language hiring manager in your country","text_sha256":"c4161ebcc96c10c081fa113996e0cf58e32fa68a75a34b495fd85e409cb0bf6a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-840000-11-structured_instructional-unwatermarked","seed":840352,"text":" The basic idea is to make each sentence concisely, concisely, and easily find out why.\n\nThe second thing we want to do is to make the sentences sound like what they are, and to add an extra sentence to the text.\n\nThe sentence is as simple as it needs to be, so","text_sha256":"5ce5cc293a45dd7e256cd9ac61c1a4947ee527b349a5d8b664fb4a19041e4ff6"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-840000-11-structured_instructional-watermarked","seed":840352,"text":" Use a simple or complex word to describe what the experiment is about. Let the experiment be a complex word. Let's start with a simple sentence.\n\n\"It's just another test for your brain, really. I've never seen such a result before.\"\n\nIn this experiment, we want to see how","text_sha256":"69124e76bc3e5687b231beca32ce60ed35fb555b2488b265e5832f60f4781fe5"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-840000-12-general_explanatory-unwatermarked","seed":840384,"text":"\n\nIt's a lot like asking a teacher if she knows how to make a bad joke. You're doing it wrong. You're not sure if you should ask the teacher to make a joke or not.\n\nIt's a lot like asking a teacher if she knows how to make a bad joke. You","text_sha256":"be067985bc0c3315abf504b657a82a2d48e6b40578184c85af8f05de9160b342"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-840000-12-general_explanatory-watermarked","seed":840384,"text":" Create a consistent, concise explanation of what is relevant to all the parts of a particular replication process. Avoid making the same mistake, because this will often force a change in the data.\n\nHow to Write a Compliant Compliant Statement\n\nA proper replication can be done at any time, but there are a","text_sha256":"dc1496a13efb78b45c84b54ca5e9b3162126ea30feffc8e1870a7b7074c9bd85"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-840000-13-technical_explanation-unwatermarked","seed":840416,"text":" The problems with the test are described in a later section.\n\nWhat is a mixing test? A mixing test is a technical test performed to verify the correctness of a software program. Examples of a mixing test are:\n\nThe \"check\" method of the \"mix\" test is the simplest. It is used","text_sha256":"f72d7b203eea08088e864d363e05066a19df1a5a26dfd131040ad6ab248c7092"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-840000-13-technical_explanation-watermarked","seed":840416,"text":" Use a simple test set to test if a test set is valid, and verify that it is.\n\nFor example:\n\ndef tests/test_validation(spec): if type(spec) is not None: return \"None\" else: return \"None\" if spec.spec.is_valid","text_sha256":"1cb4df54782bc33a10a75622b89b430a322886a20350234d3aad0f2e307b9329"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-840000-14-conversational_prose-unwatermarked","seed":840448,"text":"\n\nThe \"real\" answer: It's important to stay on topic. There's an easy way to make that happen. A good way is to have a conversation about the problem and ask for help.\n\nThe \"true\" answer: In general, when you have to answer questions, it's a good","text_sha256":"551c01316b75d7b5a14181a99a669fc1d13ab3c0034730e2488f05921977e5be"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-840000-14-conversational_prose-watermarked","seed":840448,"text":" Use a concise, simple explanation with a simple purpose.\n\nNote: If you're not sure which to use, please check out the book by the same author.\n\n3. Review for clarity\n\nIn this way you're not only giving your interviewer a new understanding of how they work, but also your","text_sha256":"e91489b752130730a3ce5f266bf489ac6d0c0044b35f2a44c5cdc2606cd0a963"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-840000-15-structured_instructional-unwatermarked","seed":840480,"text":"\n\nPreparation\n\nIn order to avoid writing the following sentences, we will use a simple, \"t-word\" syntax:\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 29 30 31 32 33","text_sha256":"ceab312b42c480275b66fc96c196be28ee07deaaf2172687c0a126cea1ab191f"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-840000-15-structured_instructional-watermarked","seed":840480,"text":" Use a list of words in your sentence to indicate the length and length of the step and the time required to complete the step.\n\nLearn how to use a simple and concise set of instructions to create a simple, concise and coherent set of instructions for the application of mixed formal confirmation replication.\n\nLearn how to","text_sha256":"668f47ce7acecb83c7005999de77d643c4ea2539f9a42a38a54d06864d123360"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-840000-16-general_explanatory-unwatermarked","seed":840512,"text":" Use the \"concrete\" format. Use the \"concrete\" format in a formal replication paper.\n\nUse the \"concrete\" format in a formal replication paper. Use the \"concrete\" format in a scientific research paper or an informal journal. Use the \"concrete\" format in a scientific journal","text_sha256":"28c11f000c93c7d024b608400961087eefd9afbe4db699962dd7405dc8769204"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-840000-16-general_explanatory-watermarked","seed":840512,"text":" Use a single sentence or two to help explain the meaning of your sentence. Use a single sentence or two to help explain the meaning of your sentence. Do not use an exact term or description. Use your best judgment. Your writing is very readable and you will be amazed by the quality of your prose. Try to explain","text_sha256":"358cc8c55d01024410cf627338d84f793996f3d5800e471a89745a2ca8858a70"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-840000-17-technical_explanation-unwatermarked","seed":840544,"text":" Implement a separate validation check for the mix formal confirmation replication failure mode.\n\nConvert a mix formal confirmation replication failure mode to the mix formal confirmation replication validation check. Implement a validation check for the mix formal confirmation replication validation check.\n\nDesign a complete specification of mixed formal confirmation replication failure modes that can be used","text_sha256":"0679bbf86f2a03345d9ebb68ac1e088dcc858a2a2c8ac45eb8dd32ee8839835e"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-840000-17-technical_explanation-watermarked","seed":840544,"text":" Set up the validation check so that if any error happens, the original test will be run before any validation checks are executed. You should then test the validation check for a valid change, or for a different rule. Then run the test that runs at the time the change is sent.\n\nNote:\n\nAs","text_sha256":"4fa28e27105bf0533aa55b00b600f2d23e44258cdaa14a7bb0fc3ef4d80bf7c1"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-840000-18-conversational_prose-unwatermarked","seed":840576,"text":"\n\nKeep it simple and concise.\n\nBe clear and concise.\n\nHave a clear reason why you think that you should do it.\n\nHave a clear understanding of the underlying concept.\n\nKeep the story of the event with the main characters in mind.\n\nIt's important to keep the","text_sha256":"4aea45bc294fb60d88bb12487c011cd1d2ef5458cc68b7a9ef1870fa699da1ef"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-840000-18-conversational_prose-watermarked","seed":840576,"text":" In addition to your own personal story, you need to keep your story short.\n\nMake sure that your story is easy to understand. It has to fit into the overall story that you're trying to tell.\n\nFor example, if you're talking about a project, the project is the main topic of conversation","text_sha256":"30403792dadc16719297f59a32e2be5f45286e840ea36291395d87493314bcea"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-840000-19-structured_instructional-unwatermarked","seed":840608,"text":" A few of the results will have been shown to be correct in a few short sentences.\n\n5. Find a way to get the data from a machine to a human\n\nIf your experiment is really simple, it will work. If it's complex, it will fail. But if your experiment is more complex","text_sha256":"28abb6edec75b151a0e85352229c39218650b4f87385528823c0df0cb4ac5bce"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-840000-19-structured_instructional-watermarked","seed":840608,"text":" You will find this method useful for most kinds of experiments. You can find the complete text of the paper by visiting the paper page.\n\nMethod 2\n\nThis method involves using a short sentence as the base for applying the formal confirmation replication, and then applying a formal confirmation replication on the final sentence.\n\n","text_sha256":"bab4a25b6cf604a371c83c163c7006305425103f17b499c1003c6d38084ec3dd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-840000-20-general_explanatory-unwatermarked","seed":840640,"text":" The goal is not to write a great deal about how you actually do it but rather to show you how you can do it. A great deal of replication, especially in a laboratory setting, is in the sense that the lab uses the laboratory to determine what is important and what is not important. This is particularly important when","text_sha256":"c860aa34ec84c357c91c29d6dee708b4bae5e34f4c5b7e8e7e7e81e747a043ca"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-840000-20-general_explanatory-watermarked","seed":840640,"text":" Don't use acronyms. It can be hard to find the right word or sentence to use for something that sounds like an acronym. You will probably never write an entire sentence with a list. However, you can provide an acronym with more coherent structure.\n\nDon't use acronyms. It can be","text_sha256":"f08f9cab9b139d0aeec7123cac4d66c231dbc18841d30fc03b91436c454a95ee"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-840000-21-technical_explanation-unwatermarked","seed":840672,"text":" The failure mode is a set of conditions that are accepted by the experimenters, and one validation check. One set of conditions is accepted when the experimenters use the first validation check, and another set of conditions is accepted when the experimenters use the second validation check. The experimental conditions are defined in terms of a set","text_sha256":"143386a5bc836a499ca308ae54ce6f03b193c4a309adf001ca31f1aeff738d38"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-840000-21-technical_explanation-watermarked","seed":840672,"text":" Use a single validation check to prove the correctness of the data.\n\nFigure 2.2.5-1. Define validation checks in a cluster of experiments.\n\nExample 4.2.2. Confirmation checks for the two-phase replication\n\nFigure 2.2.2.2 Confirmation","text_sha256":"8ae2c4c03e5c6b37d82d8e07c6e095630a233b5a63a81f6394dee720e74a3d20"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-840000-22-conversational_prose-unwatermarked","seed":840704,"text":"\n\nIf you're using a \"native speaker,\" you'll want to use \"native speaker\" (which is in any case more common to English speakers). The only exception is if you're using a more \"natural\" speaker, such as a natural speaker's child or a new acquaintance. If you want to include","text_sha256":"4db16b8f9f8adfe289a9d22926f8932833c866d865a50c7a5d7d3cb9270c0b3b"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-840000-22-conversational_prose-watermarked","seed":840704,"text":"\n\nUse a sentence like \"I don't know if you're right about the question\". In the last step, we'll make a list of a few things to say and then repeat them.\n\nI would like to ask a colleague: How do you know if the question is correct?\n\nFor most","text_sha256":"8a0033adc57f02728eee7e35bb5f6f4987c1b256e1372ac5bbe20bf18ce319a8"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-840000-23-structured_instructional-unwatermarked","seed":840736,"text":"\n\nIn the following example, we will use a sequence of 20 simple lines. All of them are written with a high degree of formal confirmation. We use a standard notation, but we also use short sequences of words, so if we say something like 'the only thing I can do right now is wait', we","text_sha256":"0506337fdc7f21769efb620d8d713a037dd4f9cdfa8422411d9b49e55fcdb85c"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-840000-23-structured_instructional-watermarked","seed":840736,"text":" You'll learn to write simple sentences with lots of repetition.\n\n5. Use the \"real\" vocabulary\n\nWhen you use vocabulary, you use it with good intent. This can be a problem when you don't understand each other's grammar or vocabulary.\n\nRemember that words like \"gifted\" or","text_sha256":"5dbdcd03005b3c8e631e8558680f400e6c3ad9162dbe2318c4da345afa553472"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-840000-24-general_explanatory-unwatermarked","seed":840768,"text":"\n\nWhen a paper in the journal Nature is presented to a large number of reviewers, they will ask what the paper has to say, how it fits into their usual paper, what its implications are, how they should interpret the paper, and so forth.\n\nI have found that, on average, papers published","text_sha256":"9a059709748724604a2309666641e2f18c37649e845f79cbff628626af09c3ff"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-840000-24-general_explanatory-watermarked","seed":840768,"text":" Use a list of three keywords without highlighting any details. This way, it's easier to focus on detail and get an idea of what's going on.\n\n3. Analyze the data\n\nIf you want to make predictions about a data set, you need to look at the data yourself. This can be","text_sha256":"ad4a8cbdb7eb533ab2b7f60a1c9f5b9d33e75590cc5023704cd1c525f8ac0124"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-840000-25-technical_explanation-unwatermarked","seed":840800,"text":"\n\nUse the same rules you used with the other steps:\n\nUse the same rules for each test run.\n\nUse the same rules for each step of the test.\n\nUse the same rules for each step of the test.\n\nUse the same rules for each test run.\n\nTest","text_sha256":"87c75eb64f628bda9d6e06572c26225e520fadf86182d441feca0d9fc025e946"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-840000-25-technical_explanation-watermarked","seed":840800,"text":" Use a valid validation check to verify the mixing process.\n\nThe main idea is that mixing and validation check should be separated. You should implement a mix-test that is designed to test the mixing process. The mix-test should not be completely automated, but it should be able to take as many steps as possible","text_sha256":"6e4c3dca40725c5b4bc4df850a58dc923b1d4f354fc836e9cd0a3ef9434fc26d"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-840000-26-conversational_prose-unwatermarked","seed":840832,"text":" Don't worry about the length of your interview. Most of the time, you'll want to say \"I think this guy has some questions,\" \"He's a terrific writer,\" or \"He looks really good.\" Use a variety of languages to convey your point of view. One of the biggest benefits of using English as","text_sha256":"369c20cfec62304aebb28ca11f79e1fa7189ec874d3dff9a427cb1b66d94f188"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-840000-26-conversational_prose-watermarked","seed":840832,"text":" Use a lot of formalisms in your story. Try to avoid those that make you feel like you're speaking to a stranger, and you might just be right.\n\nYou can also add a \"novelty\" or \"natural\" disclaimer at the end of your story to avoid getting distracted. Keep in mind","text_sha256":"71f2f60027f227bb0d319628dd521a43a14c4af0e6cf2148ac005b7aa6970cb5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-840000-27-structured_instructional-unwatermarked","seed":840865,"text":"\n\nUse a short three-step instruction for applying mix formal confirmation replication in an experiment. Use complete sentences and keep each step concrete. Put some simple data in a test. The task will be to show how to run the program in a test environment.\n\nThe task will be to show how to run the","text_sha256":"2a2f7053421aad16a2daa0ed241a4d4f211dce4c443135563e68e091ef2e5c04"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-840000-27-structured_instructional-watermarked","seed":840865,"text":" For a full explanation of the above step-by-step instructions, see the article on this topic.\n\nThe \"two-step\" approach\n\nThe first of the following three steps in this approach is to use the three-step process to apply \"two-step\" replication.\n\nThe following example","text_sha256":"876d61735e49e60011ba5631d9c3686a0fedc9bdce6a201e400581530f91e79d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-840000-28-general_explanatory-unwatermarked","seed":840896,"text":"\n\nExamples of consistent and detailed explanations and explanations can be found in the following publications:\n\n(1) http://www.nature.com/journal/v15/n14/full/full.html\n\n(2) http://www.ncbi.nlm.nih.gov/pub","text_sha256":"8c26f2ce3f734a9e8c409e90c5ec631742d1bd965b2d241e726c985259ddb561"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-840000-28-general_explanatory-watermarked","seed":840896,"text":" Don't use the words \"proof\" or \"proof-positive\" or even \"proof-negative,\" because they convey a clear idea. Use the word \"proof\" or \"proof-negative\" when referring to proof-positive replication, because they convey a clear idea. You may also want to use the word \"","text_sha256":"0caedbdce4841aa76f5f78224cc57209e847936ef8b14cc071a85dc4ab88b217"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-840000-29-technical_explanation-unwatermarked","seed":840928,"text":"\n\nDefine the main idea, one failure mode, and one validation check. Write a test, and check the result.\n\nWrite a test, and check the result. Write the test.\n\nWrite the test. Perform a test.\n\nPerform a test. Write a test. Write a","text_sha256":"76c7e988c239a46d74cf4e65139160eaeb82bfd13c71ccae11b81f5e19d286af"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-840000-29-technical_explanation-watermarked","seed":840928,"text":"\n\n(2) A test case for the above. Define the main idea, one failure mode, and one validation check.\n\n3) A test case for the above. Define the main idea, one failure mode, and one validation check.\n\n4) A test case for the above.","text_sha256":"1c7d232c625f03c1136c16da494f6e98711679fd834f2fb23f6c6815cf3bf5dd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-840000-30-conversational_prose-unwatermarked","seed":840960,"text":"\n\nHow to use the above mentioned methods:\n\n1. Use the following:\n\n1.1. Read more about how to use a natural conversational prose when writing a paper (see the following).\n\n1.2. Read more about how to use the above mentioned methods when writing a paper","text_sha256":"40c57dfc90de22c345778ac923529885f0efeb36e88f63f44e438ae3db9fbc78"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-840000-30-conversational_prose-watermarked","seed":840960,"text":" Use a quick, descriptive sentence like \"I don't know about this, but I see this as a possible problem.\" You can also use a brief explanation like \"I don't know about this, but I think this is a plausible problem. I think you can see this in the literature, but I don't think","text_sha256":"936407e4a37d3cfa65594a2f2c6588f8ce6c782a9b2917de671c05cfaf59859e"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-840000-31-structured_instructional-unwatermarked","seed":840992,"text":"\n\nIn a second experiment, a student could practice mixing formal confirmation replication with a series of three-step instructions for applying mix formal confirmation replication. Students could then repeat these four steps to apply the mix formal confirmation replication. The students could also replicate the mix formal confirmation replication on the test computer, which was used to","text_sha256":"ce7953962d43b06cd57d2d5166c83696398500ba0f2e0cb3fcfe5273720fe1f3"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-840000-31-structured_instructional-watermarked","seed":840992,"text":" Use a list of the following three step steps to create a list of sentences. Each sentence starts with a small letter. Then, with the following, add the following to the end of the sentence: \"We're here now, just like we always have been.\" The list is updated as the sentence is passed.\n","text_sha256":"0a3184f1f5f9f2822004c5764c48b944d5af9fe5ecc9d90822f1345572cc8b25"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-840000-32-general_explanatory-unwatermarked","seed":841024,"text":"\n\n1.3 Writing a complete English explanation\n\nThe following sections provide a list of the most common English explanations:\n\nFor explanations of all fields of science, see the Introduction to Science book.\n\nFor explanations of the fundamental sciences, see the Introduction to Science book.\n\nFor explanations of many","text_sha256":"1d705dc5de8e4e448a0193c3220dfc578a08bbed8abb38d0073320a3c321e342"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-840000-32-general_explanatory-watermarked","seed":841024,"text":"\n\n1.3.3 Problem description\n\nA problem description is a sequence of sentences and is the first step in the process of producing an answer. The problem description will be the first sentence of the sequence of sentences and the problem will be the final sentence of the sequence of sentences. The main goal of a","text_sha256":"6bdecb056651073bf7e1394ec9c6e8739c801a83d85f218bdaf2fb4146f5c107"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-840000-33-technical_explanation-unwatermarked","seed":841056,"text":" Set the conditions for replication.\n\nNote: In this tutorial we do not use the 'make test' command, but use the 'make test' test, which will test your application.\n\nStep 1: Verify that the replication is working\n\nCreate a database with the following information:\n\ndatabase name","text_sha256":"6fa9d2fd2fb88166c2e47a61403fc4242af4de763cef78381f66c8a93d89155b"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-840000-33-technical_explanation-watermarked","seed":841056,"text":" Set up an experiment. Create the model with the result set. Add a control variable for a test case. Include the test case. Assume the test cases are the same as the results. Define a test case with the control variables. Add a control variable for the test case. Include the test case","text_sha256":"8f4f4ff295af9b14e9bf91312f3a143c028e508462ce13b76378fae543eb4213"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-840000-34-conversational_prose-unwatermarked","seed":841088,"text":"\n\nWrite an explanation of the data. Write an explanation of how the data is being explained.\n\nInform an employee about the data.\n\nInform a colleague that the data is being presented.\n\nInform an employee of the data's authenticity.\n\nInform an employee that the data","text_sha256":"9480d099d2c6d46db455018a59bb2200cd197e63b56390e8cefd97a2ce2fbc7c"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-840000-34-conversational_prose-watermarked","seed":841088,"text":" Use a sense of humor. And, if you can, use a little bit of natural grammar and a few sentences of simple sentences to make the story come to life.\n\nAs I've mentioned before, you don't need to read the book to understand what to expect from any of these tools. It's a","text_sha256":"5bb1d2eb841190bee19b99e0ca8ceab1d44f92830fc7465619a8ed8b3a8493a4"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-840000-35-structured_instructional-unwatermarked","seed":841120,"text":" This helps you make sure that your work is complete, and not a little bit of it will make your project more interesting.\n\nMake your data available to the world. This includes the world you are making, but also your data, your data, your data and your data's place in the world. You don","text_sha256":"d8bb38079876e34b66d2e254ad8acff9acf5124b3f1af40f32ab650a45738660"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-840000-35-structured_instructional-watermarked","seed":841120,"text":" This helps to make the code easier to read and maintain.\n\n1.3.3.2.2.3.3.3.4.4.4.5.\n\n1.3.3.3.2.2.2.2.2.2.2.2.","text_sha256":"6dc545eb724b5cc36a99d430388ca5133b247f394fc298539a0ceea02ca3424c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-840000-36-general_explanatory-unwatermarked","seed":841152,"text":"\n\nWrite one coherent paragraph without a list. Use the first line of a concise section to illustrate the message that follows. This is also the second line of a detailed explanation of why it is important to include details in the section.\n\nWrite one coherent paragraph without a list. In this case, one paragraph is","text_sha256":"1fe3a10a213ae194f5c60c2251710042059825417ebadb64cdde83a1a4a67270"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-840000-36-general_explanatory-watermarked","seed":841152,"text":" Create a simple program to convert the statement into a concise statement. You may be required to write a separate article on this issue, but the author's responsibility is clear.\n\nIn addition to these articles, some authors also offer tips on how to use the standard version of the language to make good use of the new","text_sha256":"3f7581bac9e16be6e11a41f6b0793ace13d961c224ce13795520b30407ff2d02"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-840000-37-technical_explanation-unwatermarked","seed":841184,"text":"\n\nThis paper, along with others, is the first to present a formal proof for this approach.\n\nIn this paper, we have used a formal replication approach to test out a new technique for the analysis of data. The goal is to introduce the idea of a replication mechanism that is much more precise than previous","text_sha256":"4e909787a03e39fdb341f4bbfd28a0ca1c74ea4dd49c50818d247030a85259df"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-840000-37-technical_explanation-watermarked","seed":841184,"text":" Use a list of validations, with a validation check of the main idea, and one validation check of the validation check. Use the examples in the documentation to show you how to do the main idea, the validation check and the main validation check.\n\nExample 3: Create a simple test case\n\nNow that","text_sha256":"e67bc62719df34042193155c050d3287b43638a5942653f4f329c7fe5bc2a9da"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-840000-38-conversational_prose-unwatermarked","seed":841216,"text":"\n\nMake a \"best practice\" for when you'll need to be sure you know the answer to a question you've already answered.\n\nBe mindful of the \"wrong answer\" (or \"right answer\" if you'll call it that). This is important because it makes the \"right answer\" harder to","text_sha256":"4f739da9bac4a12dc2a5c228c54beec7a96a1a3179caf3cb304cbdb5d78f1fc7"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-840000-38-conversational_prose-watermarked","seed":841216,"text":" Use a nice-sounding and engaging speaker (if you are speaking to someone else, not the person who is using the speaker). This will help you communicate and show you what you are talking about.\n\nUse the word \"correct,\" and use a nice-sounding and engaging speaker (if you are speaking to someone","text_sha256":"13065ca52d2d8073184d86c8501fd15cbca84a798593d488edd57199c34ee3fd"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-840000-39-structured_instructional-unwatermarked","seed":841248,"text":" In the example below, this step is implemented in a single function:\n\n#!/usr/bin/env python3 import sys import re import sys.conv import * from os import readme import string from re import print from re.file import path def readme_print(str): print str.replace","text_sha256":"439d7a55d0db3a18744313a0006a7b11b74ddde3bdcdab62cad2759431d7ba09"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-840000-39-structured_instructional-watermarked","seed":841248,"text":" Use a single step for example. Use multiple steps for different scenarios. Use a combination of step 2 and step 3.\n\nUse the following structure in the examples for the following examples:\n\nExample 1. Using step 1\n\nStep 1: Repeat the previous step.\n\nStep 2: Step 1:","text_sha256":"abdbe58be91daffdc1d5a8ee8e47060b25ab77ef7716744263ceb8a67ec690d6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-840000-40-general_explanatory-unwatermarked","seed":841280,"text":" Write a sentence with no jargon or jargon that is clear and concise. Make sure that the sentence is in English. A few paragraphs are needed for it to feel right. It's essential that your sentences have a clear and concise way of conveying the meaning of the sentence. If your sentence is an acronym, write it","text_sha256":"0ef38efc46078ad16a80449933d7b9a8e1cda2deafd30e5d8736145609cd3529"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-840000-40-general_explanatory-watermarked","seed":841280,"text":" In general, this will be an easy task, as it is the most time consuming to write a set of procedures in English. If you have more than one way to write procedures, try them in a single set of procedures. If you're unsure of what to do, try using the following command:\n\n$","text_sha256":"126ff934f977461a90effbc893dc11be7e25f9943d3d8b1764e5b3007ae8059d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-840000-41-technical_explanation-unwatermarked","seed":841312,"text":"\n\n2) Define the process that will happen to complete a replication on the same host. The default is to wait until the replication finishes before attempting to replicate on the other host.\n\n3) Define the process that will happen to complete a replication on the same host in parallel. The default is to","text_sha256":"4a5553235ba36caca153821cb6966364950922d82011224c2b144d654d6918db"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-840000-41-technical_explanation-watermarked","seed":841312,"text":"\n\n2.1.6.1.2 Integration of mixing and validation experiments\n\nMix and validation experiments support two main problems:\n\nAn experimental design that takes an experimental data set and performs a mixed test, and that uses a mixed validation set (the test that provides the data and validation set).\n","text_sha256":"0264cc21e65eebf4887de1d881f0eb24dbf5b83c32b5f4c849ad07745c830d4e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-840000-42-conversational_prose-unwatermarked","seed":841344,"text":" If you aren't sure, then you need to understand the context. Use the same conversational prose that explains where to ask questions. If you are not sure, try asking a question, but the answer will change when you ask it. In practice, it may be a good idea to use more natural language (e","text_sha256":"bbda85c00994f3534d52754bf8a50fd240eb577559857dc931f7fb7e87f9f26e"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-840000-42-conversational_prose-watermarked","seed":841344,"text":" Use a very good story, a clear description of the story and a nice phrase or two, not too subtle.\n\nThis makes it a great way to make sure you know the source of the problem, and it's also easy to keep track of all the different ways you can solve it, because your best option","text_sha256":"1c863f257d5091d7b7249c23b94859d97d88c68e7f0cd05ce67e2da21c67bd53"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-840000-43-structured_instructional-unwatermarked","seed":841376,"text":"\n\nYou can use the above instructions to apply the same mix formal confirmation replication in a few weeks. To apply the same mix formal confirmation replication in a week, follow these steps:\n\nWrite a short three-step instruction for applying mix formal confirmation replication in an experiment.\n\nUse complete sentences and keep each","text_sha256":"07c29e0d44f4cf21368e005ed937a64a793fbb6d634d4c061307bc01958a1bff"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-840000-43-structured_instructional-watermarked","seed":841376,"text":"\n\nYou'll be able to define many of the principles that are used to perform the procedure using the following form:\n\nA description of the process is given in the following way:\n\nConsider a set of inputs, such as a cell, and one or more inputs such as a graph, and one or","text_sha256":"ca4ca5e764045b22f76942bd1dc2c0f875245a401748b67957fb6b07d0a051f4"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-840000-44-general_explanatory-unwatermarked","seed":841408,"text":" Consider how to create an open, consistent, and concise report in a few short sentences. Consider the following: What is your name? If it's not your name, do not write it. If it's not your name, write it in plain English. If it's not your name, write it in a sentence","text_sha256":"f155ee73201e10b8ddfcb4495920fc53bd781d3b78a51eb6c6489bee3c635a86"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-840000-44-general_explanatory-watermarked","seed":841408,"text":" Consider a very simple case. What if I want to replicate my own research results on the basis of real data. In a lab where the researchers can't replicate all the data they want, I can't replicate the results of other experiments. In a laboratory where the results are not reproducible, I can't replicate the","text_sha256":"0e9e3786d66861d689c43e5c5219c19c4f7911ce10ab2928548a58d6a104d405"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-840000-45-technical_explanation-unwatermarked","seed":841440,"text":" Provide an explanation of the validation check. Provide examples of failure modes and the validation check. Provide examples of validation checks, and the results. Provide a description of the test, and the validation check.\n\nCreate a new test case in an existing system (e.g., a production environment). Create a new system","text_sha256":"dc39d2394815bf5442bf52220d9d0188eca5b884674112b198bcedd4c2ef5c07"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-840000-45-technical_explanation-watermarked","seed":841440,"text":" In each case, you should define the main error modes.\n\n4.1.3.5.1. Errors\n\nWhen you have a failure mode, define the main error modes.\n\n4.1.3.5.1.1. Failures\n\nThe main error modes are defined","text_sha256":"3ce33b2584f804083fd7256bfd5283113482aae984568d2ae0aca283e278914c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-840000-46-conversational_prose-unwatermarked","seed":841472,"text":" Don't forget the word to which your colleague is referring (e.g., \"What is your name?\"). (The last two examples above are a little off, but I think that in general a good mix is better than none.)\n\nThe next step is to set up a \"social media\" account.","text_sha256":"0466134d673f705fc8f34a33f2521be98bcc5e959faa4215c05f8fb13d1e38f7"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-840000-46-conversational_prose-watermarked","seed":841472,"text":" Don't forget that the audience (and the audience's audience) will be the audience, not the author. The audience can tell which way is good because the author and the audience can tell which way is not.\n\nUse the word 'author' in the same sentence as the writer and the audience. Don't","text_sha256":"9142ce6c59661dc5c2e0d087416439ca635b4d394a265f080b0554a51e921dc9"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-840000-47-structured_instructional-unwatermarked","seed":841504,"text":"\n\nWrite a short three-step instruction for applying mix formal confirmation replication in an experiment. Use complete sentences and keep each step concrete. Write a short three-step instruction for applying a final step to describe the results of the experiment.\n\nWrite a brief three-step instruction for applying a final step to describe","text_sha256":"91ff5ab3cc01d5a92e56d6795af9476c604348865e051c7d05510dfc915d8655"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-840000-47-structured_instructional-watermarked","seed":841504,"text":" Use a non-concrete form of the word: a sentence that makes use of the word: a sentence that makes use of the word: a sentence that makes use of the word: a sentence that makes use of the word: a sentence that makes use of the word: a sentence that makes use of the word","text_sha256":"8ffc81eace88c41957692f921c9561d1538968b67b6778bf68bb55e23272347c"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-840000-48-general_explanatory-unwatermarked","seed":841536,"text":"\n\nA good place to start is with the first sentence of any new textbook or course syllabus. If you're curious about what the standard is, you should ask the author or the subject matter expert to explain what the standard is. If you want to learn more about the material, you should go read the textbook","text_sha256":"f95f0332048ba2591e42bd2cbe12e6952106b27852f317440648ae58c9a7d505"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-840000-48-general_explanatory-watermarked","seed":841536,"text":" You'll be surprised how much you can accomplish.\n\nThe first step of any study is to understand why it matters. The first step of any study is to understand why it matters.\n\nFor many people, this is probably not a big deal. The first step of any study is to understand why it matters","text_sha256":"0bf1bc1547b6b89a7414489ba18cc1878a3a74e35523eab37e1610a04278ea14"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-840000-49-technical_explanation-unwatermarked","seed":841568,"text":"\n\nA. Make sure the validation check succeeds at all three.\n\nB. Use the results of the validation check to confirm that the test is correct.\n\nC. Use the results of the validation check to confirm that the test is not biased.\n\nD. Use a test that is tested by","text_sha256":"b4ccea1a692b2208a430efe0a9a8ef79f81adc9ebbf75a1c69e11ec7869650a8"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-840000-49-technical_explanation-watermarked","seed":841568,"text":" Create a model on a model's state that replicates the same model once.\n\nThe model is then built and distributed over many channels in a distributed network. The network then has to decide how to handle the replications, as well as how it is to handle the validation.\n\nThe replication can take up","text_sha256":"0379263e0c5403910f9b8a79e4c29a24bf54b36f329b46ecfbfa322e8cab4615"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-840000-50-conversational_prose-unwatermarked","seed":841600,"text":" The first line of the sentence is a word from the original text and the second line is a sentence from the original text that comes from the original text.\n\nWhen you add a phrase in this way, the resulting sentence will be more natural and clear and not a lot of complicated prose. But when you add the","text_sha256":"621f6eae7ce945afb00c5e0d1439fc7e0eb12ff2dec7f70dd7574935d50402eb"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-840000-50-conversational_prose-watermarked","seed":841600,"text":" Don't get stuck trying to figure out how to solve the problem you're trying to solve. Use your own internal \"knowledge\" in the process.\n\nI've learned this trick by learning to think like someone who's working with the problem. The trick is to think more like someone who's working with the problem","text_sha256":"a8bdb37e39841d505f4c0f3ffd461e14aabd68f8c0f2d48a253e9dd409dfe8bc"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-840000-51-structured_instructional-unwatermarked","seed":841632,"text":" The resulting results may be useful to test new techniques.\n\nFigure 3. Example of an open-ended instruction. The first part of the second part is a simple two-step instruction. The instruction is repeated three times and the second part is repeated four times. This instruction will do what it should. It says","text_sha256":"e526476573552df15d7f81d423c1c83c54dd31778aebfacdc37764fafd143fa6"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-840000-51-structured_instructional-watermarked","seed":841632,"text":" Use a long list of simple and complex examples for an example. When all is said and done, you will have a solid foundation for learning how to apply the complex rules of replication. For more on this important subject, see: Understanding and Improving the Learning Process for a New Computer Scientist, by Alan T. Smith","text_sha256":"939b355d28f0cfd74d99dca2654afaf8d33cba4386b9537a1bf7e52a2ff9edad"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-840000-52-general_explanatory-unwatermarked","seed":841664,"text":" It will make your life easier.\n\nI have never been an expert on replication, but when I read articles, I always find a reason to make my own.\n\nI have heard a lot of people ask me why I didn't just read this. Why did I make my own. Why did I use","text_sha256":"5307ee62883d1c34ff86a35f834a47fcf5b92c0d69932465b41e95a656788c62"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-840000-52-general_explanatory-watermarked","seed":841664,"text":" This will make your paper much more efficient, and it will also give you a reason for why you're doing it.\n\nDon't waste time with technical jargon.\n\nThe most important reason for using a mix of formal confirmation replication and formal verification is to have a coherent explanation. In practice, this usually means","text_sha256":"55942f30223df13b20d869c4e4e4706f2bdaf124efb3ad0f2c111d2c39428687"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-840000-53-technical_explanation-unwatermarked","seed":841696,"text":"\n\nThe main idea, one failure mode, and one validation check. Do not use the usual replication code, or a new one for each failure mode. Instead, create a new replication code and verify the replication conditions.\n\nUse the same approach as in the previous example. If you have a replication mechanism,","text_sha256":"8db967eadeb15e401cfd14bf4e7da8934705a035f5b0eb12b00bec1727bdc601"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-840000-53-technical_explanation-watermarked","seed":841696,"text":" See the next chapter for a complete description of the first and second failures.\n\n3.4.4.1.1 Implementations\n\n3.4.4.1.2 Implementations\n\n3.4.4.1.3 Implementations\n\n3.4.4.1.","text_sha256":"6d1ad01c90a2e98286687cec2c3fe6d81bfafef3b3aa05c233003a578802ea4e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-840000-54-conversational_prose-unwatermarked","seed":841728,"text":" Use the subject line of a question with an exact spelling and punctuation.\n\nThe first step in answering a colleague who asks why mix formal confirmation replication matters. Use natural conversational prose while keeping the explanation precise. Use the subject line of a question with an exact spelling and punctuation. Do not use English-","text_sha256":"79330ca36cefe392d6dd4aaed5175046defeaf9193276df3ef80808e8891ba71"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-840000-54-conversational_prose-watermarked","seed":841728,"text":" Use a conversational language. Make your own answers and use it.\n\nDon't forget to follow your own advice and follow your own process. The best way to communicate is to share your experience with others.\n\n7. Be creative and give it your all\n\nIn your journal, find a book that","text_sha256":"545cd033c8dae9a3a305f6b916fe5b063b3f3b6e1012331a16842adc7c58907a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-840000-55-structured_instructional-unwatermarked","seed":841760,"text":"\n\n3.3.1.1. Method\n\nThe two methods described in this section are:\n\n- Step 1. A procedure, like the one described below, is called a mixed formal confirmation replication (MRS).\n\n- Step 2. This is a \"satisfactory\" step.","text_sha256":"5ef1738fdc05619809b098e97c6dc3dcafe28deb0b03b9aa1b4d10420ccc48f2"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-840000-55-structured_instructional-watermarked","seed":841760,"text":" Use a list of the results. The results should be concise and clear and concise. If the results are too vague, leave them. Use only the first step, and leave a few more, if needed.\n\nHere's an example code that is easy to read in a command line:\n\ncurl -","text_sha256":"10057ac5a83d3bfaf078dc8b712016be1c4e8a90d14ddf1581a7d624d80764a1"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-840000-56-general_explanatory-unwatermarked","seed":841792,"text":"\n\n1. Introduction 2. Sample and Scope 3. Data Mining 4. Data Mining in the Course of Research\n\n5. Data Mining in a Collaboration\n\n6. Theoretical Science of Computer Science\n\n7. Theoretical Science of Information Systems\n\n8. Theoretical Science of","text_sha256":"0a7d8ecf2a4c96ba690b569092a53034a0d5a3ca34ff546619a34b830669a67c"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-840000-56-general_explanatory-watermarked","seed":841792,"text":" Use a list of words in your sentence, such as \"I'm sorry\", and then add or remove sentences to it. Use a paragraph that looks something like this:\n\nLet's say I write this sentence:\n\nI was trying to give a personal experience. When I found out I had cancer, I","text_sha256":"60b3300760b1283ea261c8ed155a00737b77f7b279dcaeb76d48a05c85605cf3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-840000-57-technical_explanation-unwatermarked","seed":841824,"text":"\n\n2.1.1: Definition and description of Mix\n\nLet us use a simple definition of the term mix.\n\nMix consists of two sets of data, the data and the validation code.\n\nData\n\nMix is one of the most important functions that has been proposed in this book.","text_sha256":"c8baa5685af16e49c7c781ded7c9f7e70beb903803be8535eaad03d6b9a8e632"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-840000-57-technical_explanation-watermarked","seed":841824,"text":" Use a single validation check for each test, or a number of validation check for each test. (See, for example, The Complete and Correct Model of Software Testing.)\n\n3.4.3.1. The main problem with mixed validation.\n\nIt is often helpful to consider the problems described in this","text_sha256":"81dcdcfb2e3533f80de309238f2dc92b3d08b044433961bd1f9ab1c86f192691"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-840000-58-conversational_prose-unwatermarked","seed":841856,"text":"\n\nExamples\n\nTo illustrate the point, let's say you want to learn what \"theory\" is and how to use it. You want to be able to say something like \"It makes no sense to me. I can understand the scientific theories but the theory itself is flawed.\"\n\nYou say:","text_sha256":"73b4b06ba36f05e3c78746ecec2f9bc68ed6054bb440294e7d9e395b7f48ef02"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-840000-58-conversational_prose-watermarked","seed":841856,"text":" Use a phrase like \"What if someone said it earlier?\" If you have a specific question and it's a question you're sure you want answered, ask it. There's no limit to how often you can ask something like that, but don't forget to include the answers.\n\nUse the word \"confirmation","text_sha256":"1ed4b0fca02c439204a85e570c28f2ae9f5e7875bc90338608f9e0642536b380"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-840000-59-structured_instructional-unwatermarked","seed":841889,"text":"\n\nExperiment #2\n\nAfter you have a basic set of pre-trained words, you can start working on the following ideas:\n\n1. Re-grammars with the goal of repeating a series of sentences at the same speed.\n\n2. The sentence should be in the same order","text_sha256":"e5667eec5cd9446e94257e3273c8bc2869f9b5313e32c4c745ba948c783794ab"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-840000-59-structured_instructional-watermarked","seed":841889,"text":"\n\nUse a short three-step instruction for applying mix formal confirmation replication in an experiment. Use complete sentences and keep each step concrete. Don't use a series of repeated steps to describe a problem, and don't use a sentence that is repeated three times. Don't use a sentence that is repeated three times.","text_sha256":"85743a6ea485d3e404f5fa1049ef30ee7a73371db1151d4e99bbdbf59bbac577"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-840000-60-general_explanatory-unwatermarked","seed":841920,"text":"\n\n(see also: http://www.theinterpreter.com/t/cq-reform/e.html)\n\nNote: A common mistake in the English language is to use the word \"integrated proof\" (like \"integrity\") without an argument. The key point here","text_sha256":"e3fb77995b00df3b0d723a4ef76c8956c2957c3688531e56372e936e0f605fb3"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-840000-60-general_explanatory-watermarked","seed":841920,"text":"\n\n(See also: http://pulser.org/docs/pulser.html)\n\n(See also: http://pulser.org/docs/pulser.html)\n\nExamples\n\nAdd the following code to your project's repository to add:\n\n@","text_sha256":"f250ca6bdc87685a822c01c8954266e99666f99de5b5689c14820026b8d111ac"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-840000-61-technical_explanation-unwatermarked","seed":841952,"text":"\n\nMake sure you have a good understanding of the software experiments. If you don't have an understanding of the software, you'll need to try another experiment.\n\n1. Explain to the other students how to reproduce and test the proof-of-work protocol.\n\n2. Write a testable proof","text_sha256":"74820291a6ecd1d0a31e47b07ec134dbae8544a2845baa1b393a1ba9e8828497"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-840000-61-technical_explanation-watermarked","seed":841952,"text":" Use a series of rules and procedures to ensure that the test can be repeated. Use an external validation check to ensure that the test can be replicated.\n\nDefine the main idea, one failure mode, and one validation check. Use a series of rules and procedures to ensure that the test can be replicated. Use","text_sha256":"685c96aa4d7bf721c930288d900bd9063f4caed628e680fcf8147e8dd08c3a97"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-840000-62-conversational_prose-unwatermarked","seed":841984,"text":" Avoid a long explanation. Use a straightforward phrase and a clear statement, but avoid the repetition of complex statements.\n\n5. Avoid jargon. It's not necessarily bad advice to avoid jargon. I've heard the advice of some friends that they have a lot of trouble getting through a presentation, but I can't help","text_sha256":"60524174f1f464b835944b5b21783cd9678f7447aa33a8c3a14c499a30c5e630"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-840000-62-conversational_prose-watermarked","seed":841984,"text":" Use a good mix of formal and informal verbiage. You'll see a lot more people getting along with each other.\n\n4. Use the same language\n\nYou've heard of this: \"I don't understand this but it's a lot easier to explain because it's like 'you don't understand","text_sha256":"9836c4d014d9fd27c6cc1b4c579397b52acc397bcc4da25b1337647c4ca62894"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-840000-63-structured_instructional-unwatermarked","seed":842016,"text":"\n\nUse your voice to help guide the researchers to apply this simple technique in order to make it effective.\n\nDon't have a lot of time?\n\nStart by writing some sentences to be used by your co-authors. We can help you to write a couple sentences every hour. You'll need to","text_sha256":"e5d8bfb7358ca1ac8b920af2619d6adcdecc34757f3e67cb2b5e342b9978dcd3"},{"domain":"structured_instructional","label":"watermarked","pair_index":63,"sample_id":"cycle8-840000-63-structured_instructional-watermarked","seed":842016,"text":" Use a single step for repeatable logic.\n\nWhen learning in a lab, you might want to focus on working out the basic structure of a sentence.\n\n\"I'm going to repeat this sentence with two different words so I can get a feel for how the second word is going to be written 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formal confirmation replication","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/README.md b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/README.md new file mode 100644 index 00000000..f9445728 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/README.md @@ -0,0 +1,23 @@ +# Cycle 8 mix freeze confirmation detector (seed 850000, 64 pairs) + +One-shot formal confirmation of `cycle8-mix-freeze-v1`. Seed `850000` and topic `mix formal confirmation holdout` were preregistered before generation. This corpus is spent. Do not retune on residuals. Do not rerun looking for zero. + +Detector-blind comparison on the frozen GPT-2 / SynthID protocol: identity versus U+034F letter-x1 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 confirmation claim is this README plus `cycle8-mix-confirmation-scorecard-v1`. + +## Result + +| Arm | Raw WM | Sanitizer matrix WM | Raw UW | Visible | Mean insertions | Max raw WM score | +| --- | ---: | ---: | ---: | ---: | ---: | ---: | +| identity | 62/64 | 62/64 | 0/64 | 128/128 | 0 | 0.68834 | +| u034f-letter-x1 | **0/64** | 0/64 | 0/64 | 128/128 | 184.57 | 0.52366 | +| u034f-ufe00-letter-alt-v1 | **0/64** | 0/64 | 0/64 | 128/128 | 185.01 | 0.51695 | + +Closest mix watermarked row geometry only: `cycle8-850000-47-structured_instructional-watermarked`, 192 insertions, score 0.516948, gap 0.040151 below threshold 0.557099. Residual text was not inspected to write lexical rules. + +Per-domain mix raw WM is 0/16 on all four domains. Fail-closed identity count is 0. Mix unwatermarked detections are 0/64. Maximum transformed GPT-2 token count on scored mix watermarked rows is 609/1024. + +Combined with independent confirmation seeds `830000` and `840000`: mix **0/192** raw WM, mix UW **0/192**, visible mix WM **192/192**, worst mix max 0.524300 from `840000` (gap 0.032798). That combined 0/192 is the one-shot confirmation result. Do not collapse it into development mix 0/256 or letter-x1 0/128. + +U+034F and U+FE00 are not product-authorized. Do not generate `950000`. diff --git a/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/SHA256SUMS.txt new file mode 100644 index 00000000..2d290065 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/SHA256SUMS.txt @@ -0,0 +1,3 @@ +6f97821804011cd501ed7af57b337d06d16aff281d791b8229f5ba0209f7800b README.md +7540a43b6ac779f9525f242c4f1f86b4854cd3638225bfb3d7f119d921ca6bee decision.json +58264fde1de5b8c54cba565679b3b00666618e8e1908b38396d7a08892534c86 detector-compare.json diff --git a/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/decision.json b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/decision.json new file mode 100644 index 00000000..2ecaeb6d --- /dev/null +++ b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/decision.json @@ -0,0 +1 @@ +{"algorithm_version":"cycle8-scale-decision-v1","decision":"PROMISING_DEVELOPMENT","evidence_label":"HYPOTHESIS","identity_raw_watermarked_detected":62,"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-mix-confirmation-850000-n64-2026-08-26/detector-compare.json b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json new file mode 100644 index 00000000..b7157616 --- /dev/null +++ b/evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json @@ -0,0 +1 @@ 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A concise list of some formal principles will suffice.\n\nA good introduction to the world of \"natural\" languages will also suffice. For an introduction, I recommend a textbook by Robert L. M. Moore (Oxford University Press).\n\nA good introduction to English to Chinese, Mandarin, and other languages will","text_sha256":"f7567fa2fce153c079e62fc9f5ce72dabee4bf9f845f8191c7a81d4498dc1c6a"},{"domain":"general_explanatory","label":"watermarked","pair_index":0,"sample_id":"cycle8-850000-00-general_explanatory-watermarked","seed":850000,"text":" Use a list instead of list comprehension.\n\nExample\n\nImagine the following sentence:\n\n(You have been asked, by a person with similar talents, if you have a good job in this field, and if so, how do you respond?)\n\nThe following line of argument will contain only the following","text_sha256":"4dd401d67cc3d58914686199ff7f154369fa6d675d641a9b8160bf1e52d778e7"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":1,"sample_id":"cycle8-850000-01-technical_explanation-unwatermarked","seed":850032,"text":"\n\nThe main idea, one failure mode, and one validation check. Implement a protocol for setting the protocol state.\n\nIn addition to the main idea, one failure mode and one validation check.\n\nThe main idea, one failure mode and one validation check. Implement a protocol for setting the protocol state.","text_sha256":"dba6429a763e7aa451e777d87faa9ff894b40c173a239701160aa9f6f9b63f1c"},{"domain":"technical_explanation","label":"watermarked","pair_index":1,"sample_id":"cycle8-850000-01-technical_explanation-watermarked","seed":850032,"text":"\n\nThis test will test the success of a test run by a system with mixed formal confirmation holdout. In practice, this test is usually done when no valid code is found in a test.\n\nThe test is then run by another system. When there is no valid test result, the system uses the test","text_sha256":"e0b948b8e27a48fcb129ec2813ef5f31f29923cc60eccc2b386e4ddcccbef847"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":2,"sample_id":"cycle8-850000-02-conversational_prose-unwatermarked","seed":850064,"text":" When you have a question that's not clear, ask that person to go back and read it.\n\nWrite the words down, using a pencil.\n\nGet a sense for what you're trying to say.\n\nWrite down your point of view.\n\nThink about what you're trying to say.","text_sha256":"28ba3f2303c08ed176aabb62e49aa1b8161feb7669adf0ff5144665781c0c408"},{"domain":"conversational_prose","label":"watermarked","pair_index":2,"sample_id":"cycle8-850000-02-conversational_prose-watermarked","seed":850064,"text":" When someone says a word that you're unsure about, do it with real, accurate sentences.\n\nHow to get a good job:\n\nThe best jobs are usually in a place you can go, but you'll be better off knowing what to do if you have a job you want to do at home.","text_sha256":"e2dd97220c90cd2f8b593e190cf4d761ba80946cd204fb93373cba24e4c71d81"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":3,"sample_id":"cycle8-850000-03-structured_instructional-unwatermarked","seed":850096,"text":"\n\nIf you want to try the program at home, download and run it.\n\nThis is part of an experiment about making sense of the code and how it can be used to construct complex experiments.\n\nThis project is a step-by-step tutorial on how to use the code to make sense of","text_sha256":"79d83088af380f93379102b9baab30af88ad59fd7c00b776fd915627f15c74a3"},{"domain":"structured_instructional","label":"watermarked","pair_index":3,"sample_id":"cycle8-850000-03-structured_instructional-watermarked","seed":850096,"text":" Use a simple but effective structure to provide each step the structure it needs to perform.\n\nWhen you're working with a large group of students, it's best to write down a little piece of code that's specific to each student and to have it repeat. The code will be simple enough to be understood by all","text_sha256":"21cfad2e9214a1ad821cba142f0035eb842bbadc3dcace049bd8bab043a22267"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":4,"sample_id":"cycle8-850000-04-general_explanatory-unwatermarked","seed":850128,"text":" Read carefully and read more.\n\nI think that you should read my book \"The Case for Stereophonics\":\n\nhttps://www.amazon.com/Stereophonics-Stereophonics-Practical/dp/B007A3G9M4/?tag=brand-brand","text_sha256":"d317604c6e67d2b40c352a82fc2afa652cc297df2826357ca3c245d7c1c7123a"},{"domain":"general_explanatory","label":"watermarked","pair_index":4,"sample_id":"cycle8-850000-04-general_explanatory-watermarked","seed":850128,"text":" Use a phrase like \"What a surprise!\" or \"Why is it so difficult to explain a complex scientific situation?\" Write a coherent sentence with a focus on what you are trying to explain, and not just your subject. In short, write a concise sentence. The more complex the situation, the harder it is to explain","text_sha256":"f8dc28351cf8ba29b1c3d9b219a487e0b3eb384c830ea9d8ccc458ef3531b11d"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":5,"sample_id":"cycle8-850000-05-technical_explanation-unwatermarked","seed":850160,"text":" The success or failure mode is usually defined as the first successful validation attempt of the software and the first validation failure (typically in software testing). The validation check is defined as a validation check for all of the validations in the software in order to verify the validity of the software. If the validation check fails, then it","text_sha256":"f5fa5eb215d6206fd0c05045c4c63b2a2d2cd3b06418464ab721168780d46667"},{"domain":"technical_explanation","label":"watermarked","pair_index":5,"sample_id":"cycle8-850000-05-technical_explanation-watermarked","seed":850160,"text":" Define an implementation, then declare it in a function with the following arguments:\n\nif (unbox (foo)) { print(\"foo will not be printed\"); }\n\nNote that the value of foo will always be printed, and it will not be checked with any other function.\n\nThere is an","text_sha256":"986138fda87c1a5725787c9a79aadbcfd68c6bb68c581697919232ed749f8691"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":6,"sample_id":"cycle8-850000-06-conversational_prose-unwatermarked","seed":850192,"text":"\n\nYou can't always have a clear and concise answer. Make it your own.\n\nUse short, concise, and descriptive answers.\n\nNo one's perfect.\n\nTry to learn from your friends and family who may have been a bit confused about the meaning of the title.\n\nYou can","text_sha256":"f3a0581a4411a29b9fa7f0da84674a98978421492cee91ef4a02f1c44fe73102"},{"domain":"conversational_prose","label":"watermarked","pair_index":6,"sample_id":"cycle8-850000-06-conversational_prose-watermarked","seed":850192,"text":" Use a general formula to express the question.\n\nIn addition, if you're not sure of the answer, ask the person who answers you if you're not sure. Use phrases such as \"I'm a non-confrontational speaker who speaks in a relaxed way,\" \"I have a tendency to be more","text_sha256":"041600be7ccc90730de11d464986dc628d67ed00ec2f3e562ae2391e60469170"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":7,"sample_id":"cycle8-850000-07-structured_instructional-unwatermarked","seed":850224,"text":"\n\nThe final step is to start the experiment by adding a block of work to the problem (from the top down). This block is one of the \"reasons\" to test the test. As the task grows, it becomes harder for the researchers to find a way to measure the progress of this work.\n","text_sha256":"2da51b827345c71074a167cdc861d84e7eff2d280670ccfd63cf36c76d20ab87"},{"domain":"structured_instructional","label":"watermarked","pair_index":7,"sample_id":"cycle8-850000-07-structured_instructional-watermarked","seed":850224,"text":" This simple instruction is the simplest yet most powerful.\n\nIn this example, we'll perform a two-step process of learning a two-dimensional function, which we can use to test the idea that the two-dimensional functions are \"perfectly\" real.\n\nFigure 2.2.2 The two-","text_sha256":"062472e7dcb10e5ba9abaaad2dc81cc7f393f3a849b55134f3ff40e1a96b98bd"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":8,"sample_id":"cycle8-850000-08-general_explanatory-unwatermarked","seed":850256,"text":" Consider the following scenario:\n\nImagine you are being tested on how often you are told to leave a job or take a job interview (say, at the start of each week, but later you see the job's pay increase due to a rise in your earnings).\n\nIf you start to feel that you can","text_sha256":"55d5b2a7952e72468f228a456d5adfdac6c97764b9e82e9e00aabd6d9be3d967"},{"domain":"general_explanatory","label":"watermarked","pair_index":8,"sample_id":"cycle8-850000-08-general_explanatory-watermarked","seed":850256,"text":" This helps to get your book into the hands of those who read it and are keen to find a way to take it to their desk or laptop.\n\nIn addition, it allows you to add additional information to your book to make it more readable. It is a great idea to use the correct spelling or spelling correction","text_sha256":"fdee09955c57aca7cce108647961bfc9d04eaab074efa222662085f04ae6406f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":9,"sample_id":"cycle8-850000-09-technical_explanation-unwatermarked","seed":850288,"text":" The main problem with the approach is that it can lead to unworkable code. It is easy to create and validate a workable, but it is not easy to do validation. The primary problem is that there is no clear way to distinguish between working and invalid test cases. That is, there is no way to","text_sha256":"154be06656b2211b48e05be587b45cf62b6d6423fc3b02ef9c3f77e8c91e4341"},{"domain":"technical_explanation","label":"watermarked","pair_index":9,"sample_id":"cycle8-850000-09-technical_explanation-watermarked","seed":850288,"text":" Use a single validation check to confirm a control's acceptance of the control; a single validation check to validate the control's acceptance of other controls; and the rest.\n\nFigure 2.1: Compression and validation in software experiments. Note that no such validation check is implemented here.\n\nFigure 2.2","text_sha256":"aecf7c928712676163eb596a007011d4330dd2991035ad59b5a8edf9969dedc4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":10,"sample_id":"cycle8-850000-10-conversational_prose-unwatermarked","seed":850320,"text":" Give a bit of time for your audience to figure out what is going on. Give them some time to respond.\n\nIf you have questions about how you plan to go about your business, ask what you need to do to get back to work. Here are a few things you need to know:\n\n1","text_sha256":"3bbb8a0af281225a406ecd9e8bbb4ea716c89f31ef234d000c5c2065dd1765ac"},{"domain":"conversational_prose","label":"watermarked","pair_index":10,"sample_id":"cycle8-850000-10-conversational_prose-watermarked","seed":850320,"text":" You will get the same results.\n\nYou can also use formal confirmation to create conversational puzzles for your colleagues.\n\nThere are many forms of confirmation and it is a natural fit. The simple form is a little more difficult and more difficult to get to the point, but it will make things better","text_sha256":"e2b44e634ffcdcd05a2b74d794980a19f115aabc887ed9d5272ba6d02bc7b309"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":11,"sample_id":"cycle8-850000-11-structured_instructional-unwatermarked","seed":850352,"text":"\n\n3. Repeat steps 1-6.\n\n4. Repeat steps 7-10.\n\n5. Repeat steps 11-19.\n\n6. Repeat steps 20-30.\n\n7. Repeat steps 31-50.\n\n8. Repeat steps 51-60.\n\n9.","text_sha256":"cf13e758ff066a2d7ae0ba0c36ca9dc3b30d34085121865ec5da51d56f6fc632"},{"domain":"structured_instructional","label":"watermarked","pair_index":11,"sample_id":"cycle8-850000-11-structured_instructional-watermarked","seed":850352,"text":" Use a second or third step for a second and a third step for a third.\n\nTry the following steps to get the most out of your training experience.\n\nTry this exercise to help you practice a few different concepts.\n\nHow to use the TensorFlow training data\n\nTraining data\n\n","text_sha256":"0b079c1a744de8846a3acd85184cd8952964154a5689273f1e370f038ab81a82"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":12,"sample_id":"cycle8-850000-12-general_explanatory-unwatermarked","seed":850384,"text":"\n\nThe first paragraph of a sentence will take up a lot of space and is likely to be too long.\n\nUse common sense when choosing your sentences.\n\nThis can take up to 5 to 15 minutes.\n\nWhen you get something like this, don't get discouraged. You can create a very","text_sha256":"e2f3d6a9ae3ae430b92dd8484d4fc78f53f3516f609ab47d86258544c589420d"},{"domain":"general_explanatory","label":"watermarked","pair_index":12,"sample_id":"cycle8-850000-12-general_explanatory-watermarked","seed":850384,"text":" Use a dictionary to find the proper nouns for a phrase. Do a search of the web. Ask if there is an official source for the word. Then ask yourself a few questions and you will see that there is.\n\nFor example:\n\nWhen the word \"baby\" is written \"cute\",","text_sha256":"d9f6fdfeb0ca886630beb0b359fb75b3d6f7820bf1425e400b338867ed7ae834"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":13,"sample_id":"cycle8-850000-13-technical_explanation-unwatermarked","seed":850416,"text":" Also provide an explanation of its behavior. (For more information on the main idea of the paper, please see this blog post).\n\nThe main idea of the paper is that, in a mixed experiment, if a control group has a mix of fail test and validation check, there is a mismatch, and the mix","text_sha256":"0f74da6be556f13ea73268b68e6e22db679c13974c2758c3de857b39842fc310"},{"domain":"technical_explanation","label":"watermarked","pair_index":13,"sample_id":"cycle8-850000-13-technical_explanation-watermarked","seed":850416,"text":" This is an example of a drop in the bucket. When you write software you are working on software that is not in the test suite, the test suite is not in the test suite, you have done something wrong, you have forgotten to create a new test.\n\nThe important part of the software test is the","text_sha256":"636f598ed94f382bcea896e7f9f01cf0de09714229358da39bf914912c66c6cf"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":14,"sample_id":"cycle8-850000-14-conversational_prose-unwatermarked","seed":850448,"text":"\n\nThe best way to make sure people understand the situation is to use a natural and precise way of describing it.\n\nYou can't do this at home. If you're writing to a child and you've made the acquaintance of the child's father (who is in charge of your family), you have to","text_sha256":"3ab5d923c946b1fe836fa62ad20b956d54e9cce16a57e37900fe557f8ee19b98"},{"domain":"conversational_prose","label":"watermarked","pair_index":14,"sample_id":"cycle8-850000-14-conversational_prose-watermarked","seed":850448,"text":" For example, ask a colleague who asks how to get in touch with you. If you answer \"don't know about this, just don't ask,\" it will explain what you need to know. Remember, however, that the information is not in the form of a \"proper description,\" but rather that you will","text_sha256":"ea2d8b0bc4c98524b5b3f270ae9ac81ac687eb0e5bd0240d716282a7e45915ac"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":15,"sample_id":"cycle8-850000-15-structured_instructional-unwatermarked","seed":850480,"text":"\n\nIn the example above you can see that the first step of the step is to test whether the move is an action. But in the second step you need to test whether you are performing the move correctly.\n\nSteps 1-5\n\nStep 1: Move an action\n\nStep 2: Apply","text_sha256":"449a598558cb901f048f10304ed66961462366b5adf9bbd3e7657c341a4d1009"},{"domain":"structured_instructional","label":"watermarked","pair_index":15,"sample_id":"cycle8-850000-15-structured_instructional-watermarked","seed":850480,"text":"\n\nLet's start with a simple example.\n\nYou're working on a test with some number and a number of parameters. For example, the number is:\n\nA test.\n\nThe number is:\n\nA test.\n\nThe number is:\n\nA test.\n\nBut","text_sha256":"07fbb9ffd23dbd0f5bf37597766e041c210779c8bf3ea1fff1a6f68afbbcccfc"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":16,"sample_id":"cycle8-850000-16-general_explanatory-unwatermarked","seed":850512,"text":" Explain why the evidence is insufficient. (For example, \"Why is this the case? Why is it a big deal?\")\n\nThe main problem with using this approach is that it's quite complicated. If you want to learn more, check out \"How to Learn from Science\" by Richard Dawkins (available at","text_sha256":"d19aa33f8075a3730f112306000fb6f2592db1c0e8e8d54012f98ac51eab3a2f"},{"domain":"general_explanatory","label":"watermarked","pair_index":16,"sample_id":"cycle8-850000-16-general_explanatory-watermarked","seed":850512,"text":" Explain a problem.\n\n\"It's not that I didn't do it; I did it\" is a common fallacy. \"It's because I never did it\" is a lie. \"It's because I never did it\" is a lie. You are a person. Don't tell me you didn't","text_sha256":"2e56a44f20d86a0b1c75b5e1ed9d805179dbf53ebfb0852b0c28dae418992544"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":17,"sample_id":"cycle8-850000-17-technical_explanation-unwatermarked","seed":850544,"text":" It should be clear what the problem is. Do not ignore the details in your paper.\n\nDocker Compose Your Data\n\nDocker has been around for a long time. It is easy to install and run in an empty virtual machine, but it is not as fast as the Linux distro. Do","text_sha256":"48a252239d7e120378d8ebc795973d906ef65e4da48ffe265171c622cc6538c6"},{"domain":"technical_explanation","label":"watermarked","pair_index":17,"sample_id":"cycle8-850000-17-technical_explanation-watermarked","seed":850544,"text":" Use a good set of data to support an alternative test. Use a set of tests to validate a test. You may need to test several other types of software, such as application, test-driven, or distributed. Use a set of tests to validate a test.\n\nLet's talk about the main idea of","text_sha256":"a5bc875614bc6fb200afa4e884388ae87a2284d099ee517877779a205b203c68"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":18,"sample_id":"cycle8-850000-18-conversational_prose-unwatermarked","seed":850576,"text":"\n\nWhy do people keep getting stuck in the wrong places, sometimes even in the wrong time?\n\nWhy do people keep getting stuck in the wrong places, sometimes even in the wrong time? What can a person do to get through a conversation better than a regular person?\n\nDo you have time for that","text_sha256":"5f86213b19036a7cb76188af789ad419b958114fd438c5e2910a22d0d9601176"},{"domain":"conversational_prose","label":"watermarked","pair_index":18,"sample_id":"cycle8-850000-18-conversational_prose-watermarked","seed":850576,"text":" You'll also get more out of it if you use some \"good writing\" or \"good grammar\" techniques.\n\n\nIf you use natural conversational prose while keeping the explanation precise. Use natural conversational prose while keeping the explanation precise. You'll also get more out of it if you use some \"good writing","text_sha256":"038b795419cb59275d9a87721bb7d7f71abe54f48a49cc86f011f6f1871e4704"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":19,"sample_id":"cycle8-850000-19-structured_instructional-unwatermarked","seed":850608,"text":" Repeat at least four times for a further step. Repeat at least three more times for a second step. Repeat at least three more times for a third step. Repeat at least three more times for a fourth step. Repeat at least three more times for a fifth step. Repeat at least three more times for a sixth step","text_sha256":"d830a6917ad0b5eaec7cab2b2160d529a1f8326b4f0cf8c6c3c054d6e18bc70c"},{"domain":"structured_instructional","label":"watermarked","pair_index":19,"sample_id":"cycle8-850000-19-structured_instructional-watermarked","seed":850608,"text":" Use a list of three-step phrases and a short list of three-step sentences. In a series of experiments, the best method is to make sure you have done the three-step phrases, so that they become meaningful. In a series of experiments, the best method is to make sure you have done the three","text_sha256":"00ba42e5400d3aba5971f379f2b79a06c9b912d71094949231b6effa8669ff46"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":20,"sample_id":"cycle8-850000-20-general_explanatory-unwatermarked","seed":850640,"text":"\n\n1.5.5. Inappropriate use of a verb\n\nAn appropriate verb should be one that does not contain an ill-formed verb.\n\nInappropriately used verbs are often treated as if they were used in a way that is out of the ordinary.\n\nThey often are:\n\n","text_sha256":"8e4b95fbcbf5c80ce4e9886f18a027487c0ca88eb50c6b4ad44b7976f04ea76d"},{"domain":"general_explanatory","label":"watermarked","pair_index":20,"sample_id":"cycle8-850000-20-general_explanatory-watermarked","seed":850640,"text":"\n\nDo not try to be the only one.\n\nLet the proof be true if it can be shown to be true.\n\nDo not rely solely on the proof as a starting point. Consider whether the theory can explain a theorem that you would not have considered in the first place.\n\nDo not","text_sha256":"42d9fe2af184cae522e91beac407faa232086ef918a331b0a8c1e338a6795ca4"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":21,"sample_id":"cycle8-850000-21-technical_explanation-unwatermarked","seed":850672,"text":"\n\nDesign and Implement\n\nThe design of this test is straightforward. The test consists of two main parts.\n\nThe first part consists of a test, where all the tests in the test suite are called. Each test suite is evaluated in its own separate unit test, in addition to its own unit test,","text_sha256":"b7c11896eb4f4c669c1e7ea6477b1b71b39e53fd7a8a954f4f7a95339d55fdc7"},{"domain":"technical_explanation","label":"watermarked","pair_index":21,"sample_id":"cycle8-850000-21-technical_explanation-watermarked","seed":850672,"text":" This is how an experiment can be run.\n\nFor example:\n\nThe test suite used in this example is the \"JavascriptUnit\" library. It supports JavaScript, CSS, JQuery, PHP, and Javascript/Javascript. It will generate a list of \"main\" variables. The test will look","text_sha256":"257ece9b3fd93afdf03c0ec526bb8c6c4bfcd878f94a08a9a4710a7b1a5935fa"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":22,"sample_id":"cycle8-850000-22-conversational_prose-unwatermarked","seed":850704,"text":"\n\nGet out there, make your voice heard, and talk to others about it.\n\n2. Start a new company\n\nStart a new company when you can.\n\nStart a new company when you can.\n\n3. Share your company knowledge with your friends\n\nIf you want to share","text_sha256":"f57979f4368f05c1fec35db752b64cf8995e253537db647122c5386b2628f068"},{"domain":"conversational_prose","label":"watermarked","pair_index":22,"sample_id":"cycle8-850000-22-conversational_prose-watermarked","seed":850704,"text":" Don't use rhetorical shortcuts. When writing your own sentences, think through the next step and make an effort to understand them.\n\nI've also found that when writing a formal statement, you've probably written it in a way that's easier to read. That's because it's written with a different context than your","text_sha256":"a3a90fd50bcd46494c741b29b0cb4afc5df58b1f18e98edc15f3d7a4443da275"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":23,"sample_id":"cycle8-850000-23-structured_instructional-unwatermarked","seed":850736,"text":"\n\nA few things to keep in mind when starting to think about what you want to do.\n\n1. If you plan to do a bit of standup in the future, take a moment to think about what your future plans would be like if you were to do the same thing.\n\n2.","text_sha256":"11bb0b0643439c0605cd146efcfdba51094fbc8a7246001f2d6f64ea48324e02"},{"domain":"structured_instructional","label":"watermarked","pair_index":23,"sample_id":"cycle8-850000-23-structured_instructional-watermarked","seed":850736,"text":" This method is particularly effective for the time being.\n\nThis method is particularly effective for the time being. Use a short three-step instruction for applying combine standup to apply mix formal confirmation holdout in an experiment. Use complete sentences and keep each step concrete. This method is especially effective for the time being.","text_sha256":"676f663cd828dddaa5d7ecbaa52c3db2a097ee0e0740b56f231e718a820fcc9d"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":24,"sample_id":"cycle8-850000-24-general_explanatory-unwatermarked","seed":850769,"text":"\n\nDon't mix any of the above. The more you try to explain your experiment, the more you get to understand why it works. And the more you try to explain why it doesn't work, the more you get to understand why it doesn't work.\n\nA simple example:\n\n\"My","text_sha256":"9cb8641bc38d85947264cc70a2e442116e9635e0b2fd8898b0ac06e34be2daf4"},{"domain":"general_explanatory","label":"watermarked","pair_index":24,"sample_id":"cycle8-850000-24-general_explanatory-watermarked","seed":850769,"text":"\n\nDon't use any jargon. Just make it clear what you mean, and what you mean if you are trying to persuade a person to listen to you.\n\nUse the word \"noise.\" It doesn't mean anything to someone else.\n\nDon't use the word \"conjecture.\" It","text_sha256":"fec909e41a5b6d01b50a8ccd8ffa19c400c9922bceb80e94ac55bff4a4b44df3"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":25,"sample_id":"cycle8-850000-25-technical_explanation-unwatermarked","seed":850800,"text":" A validation check indicates that the experiment was successful.\n\nBASIC ABILITY\n\nThe main idea is to use a simple set of tests to demonstrate that the problem is indeed solvable. The test code should contain a valid test expression to show that there is no problem. The test may also test whether a","text_sha256":"e72c78632be77cd9c226b168f3c4239b8b941787dc553e8ff5cf6bb76e6a86bb"},{"domain":"technical_explanation","label":"watermarked","pair_index":25,"sample_id":"cycle8-850000-25-technical_explanation-watermarked","seed":850800,"text":" A failure is a non-zero amount of data that was expected to be passed through a validation check. It is only valid if there is a mismatch between the two checks. Define the validation check that is used. Define the key condition to be used for validation. A key condition allows the user to change a","text_sha256":"340754a808b6adb6af5b0a4a86f1972d178ac8abf87acc429d9d7c4c5f12cad4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":26,"sample_id":"cycle8-850000-26-conversational_prose-unwatermarked","seed":850832,"text":"\n\nTo find out what works best for you, take a look at the following list of top practice questions:\n\nWhat is a \"good\" mix?\n\nWhere does it make sense for a mix to be effective?\n\nWhat is the most important thing you can learn from a mix?\n\n","text_sha256":"1c6c1dbcdbdb1ac963a2ecac10158941d0772efea727b6f684f7bb1c92e77eba"},{"domain":"conversational_prose","label":"watermarked","pair_index":26,"sample_id":"cycle8-850000-26-conversational_prose-watermarked","seed":850832,"text":" Use a natural and clear approach, such as \"I'm sorry, but you're here, so it's okay to ask questions.\"\n\nDon't use jargon or cliches. Use common-sense explanations, such as \"I just want to go to the bathroom.\"\n\nDon't use personal attacks,","text_sha256":"4934d65fe75d6e3ae14f7e411e84d88f3ee79a65fba022586253f6d0b496f416"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":27,"sample_id":"cycle8-850000-27-structured_instructional-unwatermarked","seed":850864,"text":" This approach is very easy to work on.\n\nUse the mix formal confirmation holdout to work on using the following steps to learn more about the work. You can use this instruction in an experiment, but you won't be able to do it in the real world. Instead, try using a simple mix formal confirm","text_sha256":"804f9c005c567a805283e824316a4a69b3d1c17a7c261537bd31f8d4f78a6af7"},{"domain":"structured_instructional","label":"watermarked","pair_index":27,"sample_id":"cycle8-850000-27-structured_instructional-watermarked","seed":850864,"text":" This approach is simple enough to solve problem number A, but also very general and can be used in other contexts.\n\nThe original paper used the same approach, but the first step is to apply a single statement to a solution and make sure it doesn't change the answer. The second step is to make sure the","text_sha256":"1a4e2c6a55d4985d2fd8be77ea18b45bd970dbfcdaf1997f6afb230759505684"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":28,"sample_id":"cycle8-850000-28-general_explanatory-unwatermarked","seed":850896,"text":"\n\nIf a scientific paper is to be published in the scientific literature, it should be published within 60 days of publication. It should be published in a journal, which should give a clear, coherent, and authoritative picture of the paper.\n\nIf the papers are published in a journal, the reviewers should check the","text_sha256":"fc38707058b444bad03820a6616cfa6699e2270e583eb51447310e36f0cb34e6"},{"domain":"general_explanatory","label":"watermarked","pair_index":28,"sample_id":"cycle8-850000-28-general_explanatory-watermarked","seed":850896,"text":"\n\nDo not try to use the words \"probable\" or \"sure.\"\n\nIf you're trying to describe an \"important event\" without any explicit scientific evidence, don't use words like \"important\" or \"important enough.\"\n\nYou can't write a sentence that describes the outcome of an event","text_sha256":"81609cb24cf02dffcc263261ef3273a5cd566d668a6ac674290f5f16074439eb"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":29,"sample_id":"cycle8-850000-29-technical_explanation-unwatermarked","seed":850928,"text":"\n\nIn software experiments, a change or failure mode is defined by a validation check. A validation check may include:\n\nadding a new validation check, to prevent the new validation check from failing.\n\nremoving a validation check if it has been updated.\n\nrevisioning a validation check to include","text_sha256":"061759e3608234ab82890a59892eeccd239296c9d4c268e35b0dd82305cc5bca"},{"domain":"technical_explanation","label":"watermarked","pair_index":29,"sample_id":"cycle8-850000-29-technical_explanation-watermarked","seed":850928,"text":" Use a simple test on a simple test-running system to detect a success. In fact, there is no way to guarantee that a failure is in the software. If you don't know what the problem is, you will need to ask someone to do something about it.\n\nDon't use a single test that","text_sha256":"7e4885f71f4784468f02f57f72c82461eb126b2a80f36abcc5903b0fa984f73f"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":30,"sample_id":"cycle8-850000-30-conversational_prose-unwatermarked","seed":850960,"text":" This will keep you on track. You'll probably also learn how to use the proper language to explain things.\n\nSo, what do I do to be prepared for this?\n\nBe sure to learn how to communicate with your colleagues.\n\nAsk them to listen to your questions and make a decision.\n","text_sha256":"96cf44eac534e4a0cea943b211593a74637629d9e5fe8c99fa52bb39ee9891e8"},{"domain":"conversational_prose","label":"watermarked","pair_index":30,"sample_id":"cycle8-850000-30-conversational_prose-watermarked","seed":850960,"text":" This will keep you out of trouble and make you less likely to interrupt a colleague.\n\nThis simple rule is crucial for your project or a project you're trying to finish. We've all had a project where you had to go to the office and find a guy sitting down to talk to you on the phone.","text_sha256":"6617f85f521b652ae9b68a9f23f3aa476d36a2436d292bc5077936420e6e189f"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":31,"sample_id":"cycle8-850000-31-structured_instructional-unwatermarked","seed":850992,"text":" Start at the beginning with the complete sentence. Then write on a blackboard the complete sentence. Finally, remember the last step of the experiment, and repeat the last two steps. Use the complete sentence in a sentence-by-word experiment. A sample session will show you which steps you need to take.\n\n","text_sha256":"20f34ab173d598ee11f6a4e0ba7ddd16bd804fbc9bcc557c34a2b340ccfb67dc"},{"domain":"structured_instructional","label":"watermarked","pair_index":31,"sample_id":"cycle8-850000-31-structured_instructional-watermarked","seed":850992,"text":" Then repeat the instruction with repeat-on-repeat training, and test if it works. Then run through the instruction.\n\nThe original article, \"The Natural Language Processing Problem with Complex Algorithms,\" appeared in the September 2005 issue of Science.\n\nImage Credit: NASA/JPL-Caltech,","text_sha256":"ef6208d3d4a7697c1cfa3a22759d2ef77c86e798562033126584f4451eadc6a5"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":32,"sample_id":"cycle8-850000-32-general_explanatory-unwatermarked","seed":851024,"text":" Give the scientific papers an explanation of why they appear in papers.\n\n5. Ask questions\n\nYou must ask questions that you can understand the scientific explanation you are looking for, and understand the physical data.\n\n6. Find out if your answer to a question is correct\n\nA common problem is asking","text_sha256":"e357f9cb03f7ad69cff8efda221be891a5379c1f920612cb24638a59f4d738d6"},{"domain":"general_explanatory","label":"watermarked","pair_index":32,"sample_id":"cycle8-850000-32-general_explanatory-watermarked","seed":851024,"text":" Use a more succinct way of thinking. If you are trying to make a clear distinction between informal and formal confirmation, consider the following:\n\nIf you are trying to make a clear distinction between informal and formal confirmation, consider the following: If you are trying to make a clear distinction between informal and formal confirmation, consider","text_sha256":"4c77c032925b4bea79bd060f949950877dd6b73ae998f2149635f79ee4e903f2"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":33,"sample_id":"cycle8-850000-33-technical_explanation-unwatermarked","seed":851056,"text":" The validation check should be easy enough to detect and use; it should be simple enough to get through the first few phases, but not so easy that it will kill a lot of test flow.\n\nThis is a very simple list, but you can probably think of this as a list of what you want to do","text_sha256":"0e874b475fc25e0e2b53c94c35e09f3f4ad16034fcbb20026d4333ded918586e"},{"domain":"technical_explanation","label":"watermarked","pair_index":33,"sample_id":"cycle8-850000-33-technical_explanation-watermarked","seed":851056,"text":" Use a non-technical description and the first three sections of the talk to describe the problems. A technical description will help the researcher understand the problems. If you don't have a technical description, the talk is also intended to be read by those who can understand problems.\n\nThe main idea is that if a program","text_sha256":"b5e969d7f0397e7ee03105322aaec90de371f4978a1c448661d7b6144665531a"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":34,"sample_id":"cycle8-850000-34-conversational_prose-unwatermarked","seed":851088,"text":"\n\nIn your new interview, you might want to make a point about your experience:\n\n\"Have you had a lot of meetings with other colleagues who asked you about your experience? The answer is no. That's not what I'm talking about. I'm talking about your experience in front of a group of","text_sha256":"a63398122cd9710366745f9f7a58d321aa0fd78dfe6468651c2c836207637b27"},{"domain":"conversational_prose","label":"watermarked","pair_index":34,"sample_id":"cycle8-850000-34-conversational_prose-watermarked","seed":851088,"text":"\n\nAs for how to use natural conversational prose, you've seen my talk \"A Dialogue with a Dialogue\". I say a dialogue using natural conversational prose. It's a bit more like a real dialogue. Let's talk about it.\n\nIn one example, let's say you want to talk about","text_sha256":"d4b953ec204cdec363f7ec812a174915754831a4d5cf38d7ff3eca2897cd740a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":35,"sample_id":"cycle8-850000-35-structured_instructional-unwatermarked","seed":851120,"text":" It's often the case that we want to use a \"two-step\" instruction when we start using a specific word. If we know how to write a sentence that is consistent with the rule that only one sentence is to be given per statement, and that we can use this single step of proof to do the sentence","text_sha256":"2e154e58119ee604591b6613274fb8903a2986743b774dc7d0c9fadd05b5eecc"},{"domain":"structured_instructional","label":"watermarked","pair_index":35,"sample_id":"cycle8-850000-35-structured_instructional-watermarked","seed":851120,"text":" Use a second line of instructions for applying mix formal confirmation holdout. Use a third line of instructions for applying mix formal confirmation holdout.\n\nWhen we put the first step into the experiment we have to think about it again. We need to consider some context in which we are applying mix formal confirmation holdout to","text_sha256":"d678977439bcb37b535fa65a8d64bf3f2b2de3efb7f13cd821175a73dbc78c61"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":36,"sample_id":"cycle8-850000-36-general_explanatory-unwatermarked","seed":851152,"text":" This is the work of the American Psychological Association. This book is being written by two psychologists who have been in the same position as Dr. Auerbach. You can see Dr. Auerbach's work and his credentials in a link below. Auerbach is an American psychologist who has served as a consultant for","text_sha256":"3d6334781b8e2e5bb9b714f9447b9af751131214a55aae8f677336ca644bf2e6"},{"domain":"general_explanatory","label":"watermarked","pair_index":36,"sample_id":"cycle8-850000-36-general_explanatory-watermarked","seed":851152,"text":" This means you can write many paragraphs in one sentence and it's all about the details.\n\nTo summarize:\n\nTo understand why confirmants matter you have to be able to understand the following things:\n\nWhat are the basic mechanisms in a solid state machine? Why are they hard to see? What is","text_sha256":"830d06baf830b5eb1cf6269d148451fabb51da57c50f2d156fa094c4a9bc54b8"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":37,"sample_id":"cycle8-850000-37-technical_explanation-unwatermarked","seed":851184,"text":" In some cases, a successful test will be seen as a failure but at least the main idea is not a failure.\n\nDetermining the main idea in software experiments is critical. The main idea is what happens when the initial test fails and the original test fails. It is up to the person to decide on","text_sha256":"de2dacd2452868f1f45bb44f961e36b690e47ea763ee8e31a936bd9222428968"},{"domain":"technical_explanation","label":"watermarked","pair_index":37,"sample_id":"cycle8-850000-37-technical_explanation-watermarked","seed":851184,"text":" Set up the validation check (in the sample) and then get the test results.\n\nThis example demonstrates that when the test program is generated with an input test number and a test block, the main logic of the program is correct, but it is not correctly applied to the input test number.\n\nA single","text_sha256":"c0f00456a6de03e68aa75c7f9c3d4878244fa9886f91bac0306d4064dda7061c"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":38,"sample_id":"cycle8-850000-38-conversational_prose-unwatermarked","seed":851216,"text":"\n\nWhy mix formal confirmatory holdout matters. Use natural conversational prose while keeping the explanation precise. Do not make a formal confirmation holdout into a \"get-out-of-jail-free\" statement. Instead, you should be able to express your full understanding of the situation and how you will","text_sha256":"0039086a9edebb373840554387a97c9e77dae9122c12917f340edb04a18b3162"},{"domain":"conversational_prose","label":"watermarked","pair_index":38,"sample_id":"cycle8-850000-38-conversational_prose-watermarked","seed":851216,"text":" Don't tell your client to wait for you. Don't ask for a formal statement and, if necessary, use it to get out of a difficult situation. Don't try to convince someone to do the same thing.\n\nKeep talking about the work you're doing, and you'll be amazed at how quickly you","text_sha256":"b3553e40b7a49c43b9fb622936876626d8be0eeb6de5109d604796163fe7c1d1"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":39,"sample_id":"cycle8-850000-39-structured_instructional-unwatermarked","seed":851248,"text":"\n\nTake a short three-step instruction for applying mix formal confirmation holdout in an experiment. Use complete sentences and keep each step concrete. Read a short 3-step instruction for applying combine in an experiment.\n\nTake a short 3-step instruction for applying combine in an experiment. Use complete sentences and keep","text_sha256":"c7e0ba5415173719a6c3ece77259c908938dbcf5cbf281751379da48fb01e702"},{"domain":"structured_instructional","label":"watermarked","pair_index":39,"sample_id":"cycle8-850000-39-structured_instructional-watermarked","seed":851248,"text":" Use a list of all possible input words to choose from. Do a single step.\n\nThe experiment is done on a PC and a Word document.\n\nThe experiment is done using the full word list.\n\nThe experiment is done using the word list.\n\nThe experiment is done using the word list","text_sha256":"ea864626bc1125841bd520b1b8112de5031786a1e2a47e474633370321fc4734"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":40,"sample_id":"cycle8-850000-40-general_explanatory-unwatermarked","seed":851280,"text":" The question is: Why do you do this?\n\nDon't use the word \"disorderly\" in the name of a scientific study. You have a good chance of writing an interesting paper on something that would make you think about a few things. Instead, use the word \"disorderly\" instead of","text_sha256":"fd5c5087e634261e2e6d1c5a76ebc0c0e69033bc87aca43360cfff24894e52a3"},{"domain":"general_explanatory","label":"watermarked","pair_index":40,"sample_id":"cycle8-850000-40-general_explanatory-watermarked","seed":851280,"text":" This is how it works.\n\n\nThe two forms of confirmatory are the one you use to express the probability, or the one you use to express the probability of a certain result. If you use a set of two confirmatory phrases, you will have to write two sentences with no sentences at all, as you","text_sha256":"8434474c4328ae799f07605b272666038a61b6be4970df70902a1e9a49440e4f"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":41,"sample_id":"cycle8-850000-41-technical_explanation-unwatermarked","seed":851312,"text":" Define a test failure and validate a control failure. Use a single failure mode to validate both.\n\nWhat is a test failure?\n\nA test failure is a failure to run the program or to validate a control failure.\n\nA control failure is a failure to perform a task in a certain way.","text_sha256":"16f37da31af8ca8f0f885599b760f05acaff97cda8a0072c3c6db43f80570282"},{"domain":"technical_explanation","label":"watermarked","pair_index":41,"sample_id":"cycle8-850000-41-technical_explanation-watermarked","seed":851312,"text":" Define an implementation, and set up validation checks to verify that the set of rejections is in the correct sequence. Create a test suite. Create a test suite, and generate a test suite with all the test suite's tests. Test your code by running the test suite and checking your assertions in the test suite.","text_sha256":"c6aecff0a735eae1d1b587c3a16b08aebed66554d5f9b02da2f008183a85fc78"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":42,"sample_id":"cycle8-850000-42-conversational_prose-unwatermarked","seed":851344,"text":" Also, if you have a lot of friends, consider speaking with them and telling them about your experience.\n\n5. Use a non-traditional explanation of a topic.\n\nThis is a common practice that's important for many people who work in the workplace. It's also what many of the other types of","text_sha256":"9926365b2c1410eb4d8be8ab0df5bd39bc837693ca75182edb1de1673583ac47"},{"domain":"conversational_prose","label":"watermarked","pair_index":42,"sample_id":"cycle8-850000-42-conversational_prose-watermarked","seed":851344,"text":" Use a \"yes or no\" choice.\n\n5. Use more common phrases.\n\n\"It's not like you've had that many chances to go to the bar\" or \"I'm getting my first taste of a drink at my next bar.\"\n\n\"You're getting a lot of work done","text_sha256":"273855d2b8b2305127c1593600153bd4625b967e4249bc4ddf8f466da8dd2a64"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":43,"sample_id":"cycle8-850000-43-structured_instructional-unwatermarked","seed":851376,"text":"\n\n\nTo apply three-step induction in a sentence:\n\n\n1) add a few words that you know do not count as an infinitive (e.g. \"a\" or \"s\" or \"b\") to each sentence\n\n2) add a few words that you know do not count","text_sha256":"a6b36ebb467b62242a6ae833e8f5f5ce6434f690bae6145614ce375df08e4974"},{"domain":"structured_instructional","label":"watermarked","pair_index":43,"sample_id":"cycle8-850000-43-structured_instructional-watermarked","seed":851376,"text":" Use a second one to complete the experiment.\n\nUse a two-step instruction for applying control and final mix confirmer in an experiment. Use only the first step to complete the experiment.\n\nUse a three-step instruction for applying control and final mix confirmer in an experiment. Use only the second step","text_sha256":"a601be7fc0f9e2f3194046e8984f337314960bb9b2026fe2cdfd38972093a0b6"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":44,"sample_id":"cycle8-850000-44-general_explanatory-unwatermarked","seed":851408,"text":"\n\n5. Use a dictionary to define the meanings of two words.\n\nWhen you do this, your dictionary will be a complete list of the meanings of two words. So if we had 5 words that describe everything in common, and then we use these 5 words instead of the 5 that describe everything, we","text_sha256":"d8e3756259c6ffb69b1379bf82f38358b3d854e13c4cc8cc978e0909a780cd5f"},{"domain":"general_explanatory","label":"watermarked","pair_index":44,"sample_id":"cycle8-850000-44-general_explanatory-watermarked","seed":851408,"text":" Use a list of five words or fewer. Add two or more words for the same word and the list. Let the reader fill in any number of lines of writing for the sentence.\n\nHow to use the list\n\nWe recommend you do your best to find the word in the list that matches your word,","text_sha256":"860c7f8086535cce8bc55a73745b63ad5a05fbdf848d02a312bf013457685607"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":45,"sample_id":"cycle8-850000-45-technical_explanation-unwatermarked","seed":851440,"text":"\n\nIdentify the main idea, one failure mode, and one validation check. Write a new specification. This will be the first phase. Define the main idea, one failure mode, and one validation check. Write a new specification. This will be the first phase.\n\nWrite a new software specification.","text_sha256":"c5cc263952d800f9753bf456e1d7ffa250ac891f34e8440916dd970aec7c7d2b"},{"domain":"technical_explanation","label":"watermarked","pair_index":45,"sample_id":"cycle8-850000-45-technical_explanation-watermarked","seed":851440,"text":" Create a \"test-mode\" on the \"failure\" side to evaluate whether the failure has caused the failure.\n\n(defn test-mode [input]\n\n(if (equal (input? (test-mode input) (get-output \"test-mode \"))) (equal \"test","text_sha256":"c6304abe8e56c7be7e51b4de671518dad83364e6d31dc83ab3e8528d28267adc"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":46,"sample_id":"cycle8-850000-46-conversational_prose-unwatermarked","seed":851472,"text":"\n\nWhat about nonverbal cues that are not clear? Do not allow them to interfere with the work.\n\nFinally, consider the questions. Are you in a team? Where are your team members? When are you supposed to be in a meeting?\n\nMake them understand what you're saying and what you","text_sha256":"d4591930603b78eef2f1747622168e900e2a527845ca4a20556d9de18f8a61f0"},{"domain":"conversational_prose","label":"watermarked","pair_index":46,"sample_id":"cycle8-850000-46-conversational_prose-watermarked","seed":851472,"text":" You don't want to be a cuckservative and say, \"Hey, I heard about this from a friend, and I can't believe you're just letting someone else know about it.\"\n\nDo not make me feel guilty. A woman who is not in a job interview has a right to feel that she","text_sha256":"26305f3b5cd267a554259dee6cc7e337922dc5de9421c9c588a71bef63b33507"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":47,"sample_id":"cycle8-850000-47-structured_instructional-unwatermarked","seed":851504,"text":" Use only the first two steps of an instruction to complete the experiment. For example: Use the first step of a double-click instruction in a sentence that is not repeated in the experiment. Use one of the instructions that has the following characteristics: A short two-step instruction with an instruction that is not repeated in the","text_sha256":"3022b82f355d961113d05ff637000dad046cd4f8e298dc3ab25853663b24cbb9"},{"domain":"structured_instructional","label":"watermarked","pair_index":47,"sample_id":"cycle8-850000-47-structured_instructional-watermarked","seed":851504,"text":" Use a simple but effective word for an event in the following situations: \"I was talking to a friend of mine,\" \"I was in the midst of a conference on climate change,\" \"I was thinking about something I'd like to do,\" or \"I was thinking about a project that I should do.\" Use simple","text_sha256":"ed70d62ab8b3fa522a8ff79cf25c31d1b3ebac99639d9f33b35e85c0f400ac16"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":48,"sample_id":"cycle8-850000-48-general_explanatory-unwatermarked","seed":851536,"text":"\n\n5. You should never write in a style that isn't based on scientific rigor. The best way to write science fiction is to focus on real-world examples.\n\nYou should never write in a style that isn't based on scientific rigor. The best way to write science fiction is to focus","text_sha256":"1586c4cfa2b0b4de2b354acefb047c78005a9530ad31e7acc241ab60bf840b4b"},{"domain":"general_explanatory","label":"watermarked","pair_index":48,"sample_id":"cycle8-850000-48-general_explanatory-watermarked","seed":851536,"text":"\n\n5. Understand the significance of an item in an argument.\n\n6. Understand the significance of an item in an argument.\n\n7. Understand the significance of an item in an argument.\n\n8. Understand the significance of an item in an argument.\n\n9. Understand the significance of","text_sha256":"2397c88bab43c656ad4134dd9dac3d13676d47666a2cba1dd7fafc05d96aeb01"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":49,"sample_id":"cycle8-850000-49-technical_explanation-unwatermarked","seed":851568,"text":" For example, if you have a test where your test driver detects a mix in your program, that is a test of your program and will validate the mix. However, you should not test your program for a mix with a control (e.g., if you're using a control that has a control failure mode).","text_sha256":"8e2c347f2fdb924eacb995346bc13338b2cd29dc5c8079942a856d4de8f2f24d"},{"domain":"technical_explanation","label":"watermarked","pair_index":49,"sample_id":"cycle8-850000-49-technical_explanation-watermarked","seed":851568,"text":" Use a series of validation checks to test and validate the correctness of a given mix of inputs, in which a simple test has yielded the most correct mixed data, and a simple validation check has yielded the most incorrect mixed data.\n\nDetermine the number of validations to make a given mix of inputs and validate","text_sha256":"77dc750ae0aa5f262a8761cb271a2d50c1de72e25066e20b12263e61be3cc2b3"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":50,"sample_id":"cycle8-850000-50-conversational_prose-unwatermarked","seed":851600,"text":" Don't be tempted to throw up in the face of an unanswerable question, so keep it simple.\n\nAnd finally, the best way to get out of a difficult situation is to make a conscious decision to stay or move. Keep it simple, and use a sense of urgency. If you don't want","text_sha256":"c1a1d133f90acd1a32e1cf5e6d1e1ec54ccf394f9e05672c33db688bd3d78c1c"},{"domain":"conversational_prose","label":"watermarked","pair_index":50,"sample_id":"cycle8-850000-50-conversational_prose-watermarked","seed":851600,"text":" Don't be afraid to use a strong tone and avoid using a lot of words.\n\nI've had an interview with a professional who had a good experience with the question. The man asked the interviewer why he chose to ask the question and asked about his experience as a supervisor. I don't think he's been","text_sha256":"e212d46f366ce91bc916f11e8556d0fb0c4464bc67b16456c532ac66a0679cf5"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":51,"sample_id":"cycle8-850000-51-structured_instructional-unwatermarked","seed":851632,"text":" See my original paper, \"The Theory of a Long Interlude.\"\n\nIf you want to learn to apply a pattern to your teaching, then you need a set of three-steps:\n\na) The first step is to figure out how to put an emphasis on a single word. The second step is","text_sha256":"878f6fc747889db5ccc24966d483370446f8b3e233e23a2c4a4c709e5c04faa0"},{"domain":"structured_instructional","label":"watermarked","pair_index":51,"sample_id":"cycle8-850000-51-structured_instructional-watermarked","seed":851632,"text":" See the original paper.\n\nSamples\n\nUse the following sample code:\n\nvar t = new Test(0, 1); // print \"t\", \"t\" var e = t.getElementsByTagName(\"test\").split(\"\", \"\")[1]; e.push(e","text_sha256":"080a79d2d098b3b768e55c30912a3ad71e1f11d6c495b2ff65cf87f660fac94e"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":52,"sample_id":"cycle8-850000-52-general_explanatory-unwatermarked","seed":851664,"text":" Write a consistent paragraph. Use the correct word, word, and sentence. Don't make a typo, or a bolded quote or paragraph, or a blank paragraph, or a mis-spaced sentence. Don't make any mistakes or obscure words. Keep your work concise. Use punctuation. Use proper writing to","text_sha256":"0007f7a42b28fac456ef8fb9979618e29c0fc4690a19e579091cd76d8e22ee89"},{"domain":"general_explanatory","label":"watermarked","pair_index":52,"sample_id":"cycle8-850000-52-general_explanatory-watermarked","seed":851664,"text":" Don't use a list of words in your sentence.\n\nMake clear what you mean, but make it clear what you mean\n\nDon't use a list of words in your sentence.\n\nDon't use a sentence that is too short to be a verb or a noun. Use a sentence that is a","text_sha256":"eda55ebf126381ab82a1f13c1b3a948339a34e4c2ed2c5ec7f61a57b56f20ee5"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":53,"sample_id":"cycle8-850000-53-technical_explanation-unwatermarked","seed":851696,"text":"\n\nCreate a new version of the sample program\n\nThe sample program is created with the following steps:\n\nCreate a new sample\n\nTest the program with a simple sample program. If the program is not using a test library, use the test library that has been used for testing. If the test library","text_sha256":"b30a0a84e48dbcd407d6a06cfe92dba7fd65e4ee02d9322967d06ec2d165d652"},{"domain":"technical_explanation","label":"watermarked","pair_index":53,"sample_id":"cycle8-850000-53-technical_explanation-watermarked","seed":851696,"text":" Create a system that can validate the system by analyzing data, then performing validation checks.\n\n\nThe two main parts of this work were:\n\nTest the system with a single set of test data, then execute the validation check.\n\nThe system will not reject all validations.\n\nThe validation check will","text_sha256":"b29a97b7431990158b0d35b09bca147ec73c16ceb6f8cb589245e4e24bd597a4"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":54,"sample_id":"cycle8-850000-54-conversational_prose-unwatermarked","seed":851728,"text":"\n\nIf the colleague is in a good mood, keep his tone crisp and clear. If he has to repeat, try to add \"no,\" \"thank you,\" and \"thanks\" when he answers.\n\nWhen the friend asks why they think he is a good candidate for the role of CEO, ask him","text_sha256":"6ddb14361c5a1e9eb523651d5d8a6e12313037eb69a61f213de84d4a9e87c5b8"},{"domain":"conversational_prose","label":"watermarked","pair_index":54,"sample_id":"cycle8-850000-54-conversational_prose-watermarked","seed":851728,"text":" Use a good English sentence structure, so that when you're explaining something to the listener, you don't just say, \"Well, I'm sure you understand,\" but that you also do it to the listener.\n\nYou can also read a story in English, but it's important to use language that works with","text_sha256":"adb49a8c9a791bff43ee33ea11af036406e6c5bcbb1190aaba7440c40bf6e959"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":55,"sample_id":"cycle8-850000-55-structured_instructional-unwatermarked","seed":851760,"text":"\n\nTests are available for $15 and up for $5.\n\nPlease note, these tests do not include test-running.\n\nTest Methodology\n\nThis is an in-depth test of your program, and will be used as a guide in your decision making.\n\nThe goal is","text_sha256":"79f32b5d07af00420c73e16852bf5f3351f33dbdfec852cc91f49d86c2397be9"},{"domain":"structured_instructional","label":"watermarked","pair_index":55,"sample_id":"cycle8-850000-55-structured_instructional-watermarked","seed":851760,"text":" This method is useful for both beginner and experienced users who are seeking more complex solutions.\n\nPrevent negative thoughts from influencing test results\n\nWhen using negative thoughts, remember to apply pre-test-time negative thoughts.\n\nIn one example, a test for positive thoughts may be written:\n\n\"I","text_sha256":"b3d0149e100d1cf4d52eb5e0eda03a39b988ecc32dac23c455174f805f540f91"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":56,"sample_id":"cycle8-850000-56-general_explanatory-unwatermarked","seed":851792,"text":" Avoid any mention of your own personal experiences, but avoid any references to the results of your research.\n\nAvoid any mention of your own personal experiences, but avoid any references to the results of your research. Don't ask about your own personal experiences. Don't say what you think they are. Don't ask if","text_sha256":"fabc725ca23fc9fe573af37274ce998cc7362a16fc1ba6962e7de7828032ad3c"},{"domain":"general_explanatory","label":"watermarked","pair_index":56,"sample_id":"cycle8-850000-56-general_explanatory-watermarked","seed":851792,"text":" Use a concise description of what each part of the sentence does and then use clear grammar.\n\nIn particular, one must be careful in describing how to explain why mixing formal confirmation holdout matters in careful scientific work. Write one coherent paragraph without a list. Use a concise description of what each part of the sentence does","text_sha256":"53322328c73f00142dc262689d056680d4fc1e3230ceb8ea21bbd8bac4cd7991"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":57,"sample_id":"cycle8-850000-57-technical_explanation-unwatermarked","seed":851824,"text":"\n\nExamples:\n\nI had a mix-specification test for a test case with a mix-specification command (e.g., \"use mix-specification foo\") that produced a complete test case with two test cases with different mix specs. I had some tests with a mix-specification command","text_sha256":"a8b52211261322932c4f404c463034b4c4bf24f9c38950feb756e6451b9a3d34"},{"domain":"technical_explanation","label":"watermarked","pair_index":57,"sample_id":"cycle8-850000-57-technical_explanation-watermarked","seed":851824,"text":" Define an internal test suite. Define and create a test suite. For a test suite, create a CMake command, run: $ cat test.c Make a test suite, and run: $ cat test.c $ cat test-test.c\n\nWhen you run the test suite, it will","text_sha256":"0cae043e856ea01fa021273161601444f913ae4ea135895e68cf1c3e09ff010e"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":58,"sample_id":"cycle8-850000-58-conversational_prose-unwatermarked","seed":851856,"text":" Try to make yourself as conversational as possible in conversation with your colleagues. It's not about a job interview, it's about telling the story of your experience as a speaker and your experience as a speaker.\n\nWhat's the best way to describe your career experience?\n\nThe best way to describe your career","text_sha256":"e062a4608645ace335c9c822f708e440104c9c00f1896c58d7c7e7b11987f753"},{"domain":"conversational_prose","label":"watermarked","pair_index":58,"sample_id":"cycle8-850000-58-conversational_prose-watermarked","seed":851856,"text":" Try it with a couple of others you know.\n\n\"Why do I keep it so close to me?\"\n\n\"I'm afraid it's so boring. I'll just go for a walk.\"\n\n\"Why do I use the word 'unusual' in my work?\"\n\n\"I've","text_sha256":"7948ca477315c5cc024515bed0182f2a29cf163f3f1d55c89320e58bd136cc00"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":59,"sample_id":"cycle8-850000-59-structured_instructional-unwatermarked","seed":851888,"text":" Repeat the experiment with the same sentence over and over. The best way to achieve a \"best\" experiment is to use a combination of sentences with strong \"no\"s.\n\nA \"two-step\" experiment allows you to take a longer period of time to experiment, but it might not work as well.","text_sha256":"05689cb43f0fd985805814964ee59ca3e358523571c5b34654b04aa7fcfa54c9"},{"domain":"structured_instructional","label":"watermarked","pair_index":59,"sample_id":"cycle8-850000-59-structured_instructional-watermarked","seed":851888,"text":" Use a single step to complete the entire sentence.\n\nApply a complete sentence with complete sentences for the second step.\n\nApply a complete sentence for the last step.\n\nApply a complete sentence for the last step.\n\nApply a complete sentence for the first step.\n\nApply a complete sentence for","text_sha256":"393f627ca5df9cb416dc3ba1673352354bdcd12306bf2af901d773a750fcc644"},{"domain":"general_explanatory","label":"unwatermarked","pair_index":60,"sample_id":"cycle8-850000-60-general_explanatory-unwatermarked","seed":851920,"text":"\n\nIn the case of the work of the English speaker, it is in his or her own interest to write concisely, without the need for further proof.\n\nIn the case of the work of the German speaker, it is not his or her own interest to write concisely, without the need for further","text_sha256":"13de4a153da416b7decb7a68569f0d21d2cfb85af2361f6ba07fce02a42fa777"},{"domain":"general_explanatory","label":"watermarked","pair_index":60,"sample_id":"cycle8-850000-60-general_explanatory-watermarked","seed":851920,"text":" Use a list of the following three examples and a full, understandable summary of their content. Write your sentence:\n\nThe following are the only possible explanations for the phenomenon of mixed confirmation holdout in scientific work:\n\nThe theory, not the proof, is that the mind has an \"accurate\" or \"","text_sha256":"96582299ccbf1561d129847f9ebdd2611cf68345e9adb6b1f664099a49a236c2"},{"domain":"technical_explanation","label":"unwatermarked","pair_index":61,"sample_id":"cycle8-850000-61-technical_explanation-unwatermarked","seed":851952,"text":"\n\n(a)\n\nThe failure mode is defined by the following:\n\nThe failure mode consists of a test failure, an validation failure, and an error.\n\n(b)\n\nThe validation failure is defined by the following:\n\nThe validation failure is defined by the following:\n\n","text_sha256":"bbbae2a69567a3cdaaaf86b6bcc9ce0498e480dfb234474076adf59ae8e2afc3"},{"domain":"technical_explanation","label":"watermarked","pair_index":61,"sample_id":"cycle8-850000-61-technical_explanation-watermarked","seed":851952,"text":" You don't have to go through the whole program (as you usually do) and fix the whole process.\n\nI've seen some applications where the mix-out checks worked, but they don't work for most people. In my case, it was about a failure case to create an application that did an appropriate","text_sha256":"548a39541c2f96513d04cda97b3651693a05472f9e91d5f9509fb7828aa82bcd"},{"domain":"conversational_prose","label":"unwatermarked","pair_index":62,"sample_id":"cycle8-850000-62-conversational_prose-unwatermarked","seed":851984,"text":"\n\nDon't try to be polite when you speak to someone who doesn't know you.\n\nDon't interrupt or threaten to interrupt someone.\n\nDon't speak in a snarky or dismissive manner.\n\nDon't insult people who don't understand.\n\nDon't interrupt people who don't","text_sha256":"c219b7871026ce44cf29340170881d5ac8d5b9f248d983ae0bccbedfa7079ff7"},{"domain":"conversational_prose","label":"watermarked","pair_index":62,"sample_id":"cycle8-850000-62-conversational_prose-watermarked","seed":851984,"text":" You'll also have more control over the questions and answers.\n\nSo if you're ready to start, ask a colleague who asks why mix formal confirmation holdout matters. Use natural conversational prose while keeping the explanation precise. You'll also have more control over the questions and answers. Ask a friend if you can","text_sha256":"c5a9cd60ec845404b31a0ec25449e552a26acb893d1f70ff1d06abaa5e69890a"},{"domain":"structured_instructional","label":"unwatermarked","pair_index":63,"sample_id":"cycle8-850000-63-structured_instructional-unwatermarked","seed":852016,"text":" In addition, you will create a three-step test for the same problem.\n\nTo do this, you can simply write a short three-step instruction for applying mix formal confirmation holdout in an experiment. Use complete sentences and keep each step concrete. 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formal confirmation holdout","visible_pass_rate":"384/384"} diff --git a/evidence/cycle8-mix-margin-2026-08-26/README.md b/evidence/cycle8-mix-margin-2026-08-26/README.md index c25146e9..c2f88704 100644 --- a/evidence/cycle8-mix-margin-2026-08-26/README.md +++ b/evidence/cycle8-mix-margin-2026-08-26/README.md @@ -6,7 +6,7 @@ Do not collapse this fresh **0/128** into the letter-x1 system benchmark 0/128 o Independent scale seeds `1040000` and `1050000` later measured mix **0/256** with worst max 0.519522 (gap 0.037577). That 0/256 is additional development scale. This scorecard remains the two-corpus 0/128 measurement and is not rewritten. -Formal confirmation readiness: `NOT_READY`. Closest fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). +Formal confirmation readiness: `NOT_READY` as a property of this two-corpus 0/128 measurement hash. Closest fresh mix score is 0.513691 versus threshold 0.557099 (gap 0.043407). The mechanism was later frozen as `cycle8-mix-freeze-v1` and confirmed once on seeds `830000` / `840000` / `850000`. This scorecard is not rewritten as that confirmation result. ## Scorecard @@ -72,6 +72,4 @@ Mix is the current strongest product-aligned development result. It is still `HY ## Ready for formal confirmation? -No. `NOT_READY`. - -Reasons: this scorecard covers two independent n=64 corpora; later scale seeds `1040000` and `1050000` exist as additional development evidence and are not part of this hash-pinned scorecard; the mechanism is not frozen; `950000` is ungenerated; Mn-strip and default-ignorable-strip remove the carriers; this file is a measurement report, not a confirmation protocol. Do not generate `830000` / `840000` / `850000`. +This file remains a measurement report, not a confirmation protocol. `NOT_READY` applies to this 0/128 hash. Later scale seeds `1040000` and `1050000` exist as additional development evidence and are not part of this hash-pinned scorecard. The mechanism was later frozen as `cycle8-mix-freeze-v1`. One-shot confirmation on `830000` / `840000` / `850000` is recorded separately as `cycle8-mix-confirmation-scorecard-v1`. Do not rewrite this 0/128 scorecard. Do not generate `950000`. diff --git a/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt index eaa436f1..86d485b9 100644 --- a/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt +++ b/evidence/cycle8-mix-margin-2026-08-26/SHA256SUMS.txt @@ -1,4 +1,4 @@ -87abd76dba0802367ded58c43eb4a69d3f15e63d4846b66a99d640eb353ef0b2 README.md +c54bb3de03dd7af670718a980f896ddeeb8dafce6d769c552b8221671d12a58b README.md 0cc03ffadd4074e3eb255db206bb7e579ca0501f65298e76b96b5ac13aa2b368 environment.json dcf0f3a5680014a07c447bc71abcfc0b4a1622a7b0523a17b3c345fb9f01ed9c local-system.json bb7090b48954f0ed62962867f8ebf912f10f81bfd39613f37e78a968f022b2f3 scorecard.json diff --git a/fuckmark/cycle8/ledger.py b/fuckmark/cycle8/ledger.py index 47d108f3..977a425e 100644 --- a/fuckmark/cycle8/ledger.py +++ b/fuckmark/cycle8/ledger.py @@ -159,7 +159,9 @@ def cycle8_seed_ledger_payload() -> dict[str, object]: "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. " - "Do not inspect 830000, 840000, or 850000. Do not generate 950000 until " + "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 " @@ -175,9 +177,9 @@ 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. " - "cycle8-mix-freeze-v1 preregisters 830000, 840000, and 850000 for one-shot " - "mix confirmation; do not generate them until that freeze is committed, " - "and do not retune on Cycle 6 formal residuals." + "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/mix_confirmation.py b/fuckmark/cycle8/mix_confirmation.py new file mode 100644 index 00000000..78e1f869 --- /dev/null +++ b/fuckmark/cycle8/mix_confirmation.py @@ -0,0 +1,136 @@ +from __future__ import annotations + +import json +from pathlib import Path + +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 + + +CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION = "cycle8-mix-confirmation-scorecard-v1" +_CORPORA = ( + (830000, "evidence/cycle8-mix-confirmation-830000-n64-2026-08-26/detector-compare.json", "b237512f7250b50bfb87c5f2aec60a01689e185533028ac73c3f7ee1201e02eb"), + (840000, "evidence/cycle8-mix-confirmation-840000-n64-2026-08-26/detector-compare.json", "5fef030650a75b371708b88dee328391db4649ab3bc4f832e30704625582e4b0"), + (850000, "evidence/cycle8-mix-confirmation-850000-n64-2026-08-26/detector-compare.json", "25b7519c4eba50f0094b5314fe0f8d9b9086b1abb5cb78e2ee24c12a0b9a8b6a"), +) + + +def _load(path: Path) -> dict[str, object]: + return json.loads(path.read_text(encoding="utf-8")) + + +def build_mix_confirmation_scorecard() -> dict[str, object]: + artifacts = [] + mix_wm = 0 + mix_uw = 0 + letter_wm = 0 + letter_uw = 0 + identity_wm = 0 + identity_uw = 0 + mix_max = None + letter_max = None + visible_wm = 0 + visible_wm_total = 0 + sanitizer_wm = { + "nfc": 0, + "cf_strip": 0, + "nfkc": 0, + "ws_collapse": 0, + "nfkc_cf_strip": 0, + "ws_collapse_nfkc_cf_strip": 0, + } + for seed_base, relative, expected_hash in _CORPORA: + artifact = _load(Path(relative)) + if artifact["artifact_hash"] != expected_hash: + raise ValueError("mix confirmation artifact hash mismatch") + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + mix_wm += int(mix["raw_watermarked_detected"]) + mix_uw += int(mix["raw_unwatermarked_detected"]) + letter_wm += int(letter["raw_watermarked_detected"]) + letter_uw += int(letter["raw_unwatermarked_detected"]) + identity_wm += int(identity["raw_watermarked_detected"]) + identity_uw += int(identity["raw_unwatermarked_detected"]) + mix_score = float(mix["raw_watermarked_max_score"]) + letter_score = float(letter["raw_watermarked_max_score"]) + mix_max = mix_score if mix_max is None else max(mix_max, mix_score) + letter_max = letter_score if letter_max is None else max(letter_max, letter_score) + for row in artifact["scored_rows"]: + if row["arm_id"] != CYCLE8_LETTER_ALT_ARM_ID or row["label"] != "watermarked": + continue + visible_wm_total += 1 + visible_wm += int(bool(row["geometry"]["visible_ok"])) + sanitizer_wm["nfc"] += int(mix["nfc_watermarked_detected"]) + sanitizer_wm["cf_strip"] += int(mix["cf_strip_watermarked_detected"]) + sanitizer_wm["nfkc"] += int(mix["nfkc_watermarked_detected"]) + sanitizer_wm["ws_collapse"] += int(mix["ws_collapse_watermarked_detected"]) + sanitizer_wm["nfkc_cf_strip"] += int(mix["nfkc_cf_strip_watermarked_detected"]) + sanitizer_wm["ws_collapse_nfkc_cf_strip"] += int(mix["ws_collapse_nfkc_cf_strip_watermarked_detected"]) + artifacts.append( + { + "seed_base": seed_base, + "path": relative, + "artifact_hash": expected_hash, + "topic": artifact["topic"], + "mix_raw_watermarked_detected": int(mix["raw_watermarked_detected"]), + "mix_raw_unwatermarked_detected": int(mix["raw_unwatermarked_detected"]), + "mix_max_score": mix_score, + "letter_raw_watermarked_detected": int(letter["raw_watermarked_detected"]), + "identity_raw_watermarked_detected": int(identity["raw_watermarked_detected"]), + "visible_pass_count": int(mix["visible_pass_count"]), + } + ) + payload = { + "algorithm_version": CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION, + "freeze_version": CYCLE8_MIX_FREEZE_VERSION, + "mechanism_id": CYCLE8_LETTER_ALT_ARM_ID, + "confirmation": True, + "run_once": True, + "rerun_looking_for_zero": False, + "freeze": True, + "product_authorized": False, + "release_registry_empty": release_transform_registry().rules == (), + "evidence_label": "VERIFIED", + "threshold": CYCLE6_THRESHOLD, + "effectiveness": { + "transformed_wm": { + "rate": f"{mix_wm}/192", + "raw_watermarked_detected": mix_wm, + "max_score": mix_max, + "min_gap_below_threshold": CYCLE6_THRESHOLD - float(mix_max), + }, + "transformed_uw": { + "rate": f"{mix_uw}/192", + "raw_unwatermarked_detected": mix_uw, + }, + "letter_x1_same_corpora": { + "rate": f"{letter_wm}/192", + "raw_watermarked_detected": letter_wm, + "raw_unwatermarked_detected": letter_uw, + "max_score": letter_max, + }, + "identity": { + "raw_watermarked_detected": identity_wm, + "raw_unwatermarked_detected": identity_uw, + }, + }, + "visibility": { + "watermarked_pass_rate": f"{visible_wm}/{visible_wm_total}", + }, + "durability": { + "sanitizer_watermarked_detected": sanitizer_wm, + "frozen_sanitizers_match_raw": all(value == mix_wm for value in sanitizer_wm.values()), + }, + "corpora": artifacts, + "do_not_generate_950000": True, + "notes": ( + "One-shot formal confirmation of cycle8-mix-freeze-v1. " + "Do not rerun looking for zero. Do not retune on these corpora. " + "Public CLI remains empty." + ), + } + return {**payload, "scorecard_hash": sha256_json(payload)} diff --git a/fuckmark/cycle8/mix_freeze.py b/fuckmark/cycle8/mix_freeze.py index 7002105f..c7db871b 100644 --- a/fuckmark/cycle8/mix_freeze.py +++ b/fuckmark/cycle8/mix_freeze.py @@ -170,9 +170,9 @@ def assert_cycle8_mix_confirmation_generation_seed(seed_base: int) -> None: if seed_base not in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: raise ValueError("seed_base is not a Cycle 8 mix confirmation seed") row = row_for_seed_base(seed_base) - if row["eligible_for_confirmation"] is not True: - raise ValueError("seed is not eligible for confirmation") if row["generated"] is True: raise ValueError("confirmation seed already generated") if row["scored"] is True: raise ValueError("confirmation seed already scored") + if row["eligible_for_confirmation"] is not True: + raise ValueError("seed is not eligible for confirmation") diff --git a/fuckmark/seeds/ledger.py b/fuckmark/seeds/ledger.py index d4b532ea..dbe3ed8a 100644 --- a/fuckmark/seeds/ledger.py +++ b/fuckmark/seeds/ledger.py @@ -94,9 +94,9 @@ def global_seed_rows() -> tuple[dict[str, object], ...]: _row(780000, "cycle6", "confirmation", "cycle6 formal", "cycle6", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 6 formal confirmation 3/64. Spent. Do not retune on residuals."), _row(810000, "cycle7", "exploratory_development", "reproducibility", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage A. Do not keep expanding rules against it."), _row(820000, "cycle7", "validation_development", "held-out evaluation", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B3 validation. Spent. Do not retune."), - _row(830000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), - _row(840000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), - _row(850000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, "cycle7-seed-ledger-v3", generated=False, scored=False, publicly_exposed=False, spent=False, eligible_for_confirmation=True, eligible_as_unseen_validation=False, notes="Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals."), + _row(830000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), + _row(840000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), + _row(850000, "shared", "confirmation_reserved", CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), _row(860000, "cycle7", "exploratory_development", "independent replication", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage B1. Do not keep expanding rules against it."), _row(870000, "cycle7", "exploratory_development", "measurement protocol", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, notes="Cycle 7 Stage C1. Spent for new rule construction."), _row(880000, "cycle7", "validation_development", "independent check", "cycle7-seed-ledger-v3", generated=True, scored=True, publicly_exposed=True, spent=True, eligible_for_confirmation=False, eligible_as_unseen_validation=False, 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."), @@ -137,8 +137,8 @@ def global_seed_ledger_payload() -> dict[str, object]: "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 " - "are preregistered for one-shot cycle8-mix-freeze-v1 confirmation and are " - "not yet generated. Do not generate 950000. " + "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. " diff --git a/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json b/specs/cycle8/fuckmark-cycle8-seed-ledger-v2.json index e18b6705..84062041 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":"dbf207f1bc1613ee6c8b190d32a7f3d195d23d8246a0c3e8f40ce2a8402aabdf","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. Do not inspect 830000, 840000, or 850000. 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 preregisters 830000, 840000, and 850000 for one-shot mix confirmation; do not generate them until that freeze is committed, 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,"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"} diff --git a/specs/fuckmark-global-seed-ledger-v1.json b/specs/fuckmark-global-seed-ledger-v1.json index c6ed4201..850ee180 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":"0f3d4d985fbcc73a9eeac60f8fdaba2359a145c7632429e03198fd13b67571df","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":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation primary","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":830000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation replication","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":840000,"spent":false},{"cycle":"shared","eligible_as_unseen_validation":false,"eligible_for_confirmation":true,"first_reservation":"cycle7-seed-ledger-v3","generated":false,"generation_topic":"mix formal confirmation holdout","notes":"Formal confirmation reserve for cycle8-mix-freeze-v1. Not yet generated. Generate once under the frozen protocol. Do not retune on residuals.","publicly_exposed":false,"role":"confirmation_reserved","scored":false,"seed_base":850000,"spent":false},{"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 are preregistered for one-shot cycle8-mix-freeze-v1 confirmation and are not yet generated. 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."} +{"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. 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":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."} diff --git a/tests/test_cycle8_mix_confirmation.py b/tests/test_cycle8_mix_confirmation.py new file mode 100644 index 00000000..d3e6014d --- /dev/null +++ b/tests/test_cycle8_mix_confirmation.py @@ -0,0 +1,204 @@ +import json +from pathlib import Path + +import pytest + +from fuckmark.cli import process_text +from fuckmark.cycle8.compare import ( + CYCLE8_BENCHMARK_ARM_IDS, + CYCLE8_IDENTITY_ARM_ID, + CYCLE8_LETTER_ALT_ARM_ID, + CYCLE8_U034F_LETTER_ARM_ID, +) +from fuckmark.cycle8.mix_confirmation import ( + CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION, + build_mix_confirmation_scorecard, +) +from fuckmark.cycle8.mix_freeze import ( + CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION, + CYCLE8_MIX_FREEZE_VERSION, + assert_cycle8_mix_confirmation_generation_seed, + mix_freeze_hash, +) +from fuckmark.cycle8_mix_confirmation_hf import main as mix_confirmation_main +from fuckmark.hashing import sha256_file, sha256_json +from fuckmark.seeds.ledger import ( + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, +) +from fuckmark.transforms.registry import release_transform_registry + + +_THRESHOLD = 0.5570987654320988 +_SCORECARD_HASH = "a4911189af7f38d34252452821d90df1188bfe05025fe33c028c4b670eecbcce" +_FREEZE_HASH = "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986" +_CORPORA = ( + ( + 830000, + "evidence/cycle8-mix-confirmation-830000-n64-2026-08-26", + "b237512f7250b50bfb87c5f2aec60a01689e185533028ac73c3f7ee1201e02eb", + CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, + 0.5195995038100301, + 2, + ), + ( + 840000, + "evidence/cycle8-mix-confirmation-840000-n64-2026-08-26", + "5fef030650a75b371708b88dee328391db4649ab3bc4f832e30704625582e4b0", + CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC, + 0.5243003808577579, + 0, + ), + ( + 850000, + "evidence/cycle8-mix-confirmation-850000-n64-2026-08-26", + "25b7519c4eba50f0094b5314fe0f8d9b9086b1abb5cb78e2ee24c12a0b9a8b6a", + CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC, + 0.5169476454687723, + 0, + ), +) + + +def _load(relative: str) -> dict[str, object]: + return json.loads((Path(__file__).resolve().parents[1] / relative).read_text(encoding="utf-8")) + + +def _assert_sha256sums(relative: str) -> None: + root = Path(__file__).resolve().parents[1] / 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_mix_confirmation_corpora_are_zero_raw_once() -> None: + mix_detected = 0 + mix_uw = 0 + letter_detected = 0 + visible_wm = 0 + identity_uw = 0 + mix_max = None + letter_max = None + token_max = 0 + for seed_base, directory, artifact_hash, topic, expected_max, expected_identity_uw in _CORPORA: + artifact = _load(f"{directory}/detector-compare.json") + body = {key: value for key, value in artifact.items() if key != "artifact_hash"} + assert artifact["artifact_hash"] == sha256_json(body) + assert artifact["artifact_hash"] == artifact_hash + assert artifact["seed_base"] == seed_base + assert artifact["pair_count"] == 64 + assert artifact["topic"] == topic + assert artifact["algorithm_version"] == CYCLE8_MIX_CONFIRMATION_DETECTOR_VERSION + assert artifact["model"] == "openai-community/gpt2" + assert artifact["model_revision"] == "607a30d783dfa663caf39e06633721c8d4cfcd7e" + assert artifact["threshold"] == _THRESHOLD + assert artifact["detector_access_used_for_selection"] is False + assert artifact["secret_access_used_for_selection"] is False + identity = artifact["summaries"][CYCLE8_IDENTITY_ARM_ID] + letter = artifact["summaries"][CYCLE8_U034F_LETTER_ARM_ID] + mix = artifact["summaries"][CYCLE8_LETTER_ALT_ARM_ID] + assert mix["raw_watermarked_detected"] == 0 + assert mix["raw_unwatermarked_detected"] == 0 + assert letter["raw_watermarked_detected"] == 0 + assert letter["raw_unwatermarked_detected"] == 0 + assert mix["visible_pass_count"] == 128 + assert mix["fail_closed_identity_count"] == 0 + assert mix["nfc_watermarked_detected"] == 0 + assert mix["cf_strip_watermarked_detected"] == 0 + assert mix["nfkc_watermarked_detected"] == 0 + assert mix["nfkc_cf_strip_watermarked_detected"] == 0 + assert mix["ws_collapse_watermarked_detected"] == 0 + assert mix["ws_collapse_nfkc_cf_strip_watermarked_detected"] == 0 + assert float(mix["raw_watermarked_max_score"]) == expected_max + assert float(mix["raw_watermarked_max_score"]) < _THRESHOLD + assert identity["raw_unwatermarked_detected"] == expected_identity_uw + mix_detected += int(mix["raw_watermarked_detected"]) + mix_uw += int(mix["raw_unwatermarked_detected"]) + letter_detected += int(letter["raw_watermarked_detected"]) + identity_uw += int(identity["raw_unwatermarked_detected"]) + mix_score = float(mix["raw_watermarked_max_score"]) + letter_score = float(letter["raw_watermarked_max_score"]) + mix_max = mix_score if mix_max is None else max(mix_max, mix_score) + letter_max = letter_score if letter_max is None else max(letter_max, letter_score) + domains: dict[str, int] = {} + for row in artifact["scored_rows"]: + if row["arm_id"] != CYCLE8_LETTER_ALT_ARM_ID or row["label"] != "watermarked": + continue + visible_wm += int(bool(row["geometry"]["visible_ok"])) + domains[row["domain"]] = domains.get(row["domain"], 0) + int(bool(row["sanitizers"]["raw"]["detected"])) + token_max = max(token_max, int(row["geometry"]["tokenizer"]["transformed_token_count"])) + assert set(domains) == { + "conversational_prose", + "general_explanatory", + "structured_instructional", + "technical_explanation", + } + assert all(value == 0 for value in domains.values()) + decision = _load(f"{directory}/decision.json") + assert decision["u034f_raw_watermarked_detected"] == 0 + assert decision["transformed_arm_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert decision["visible_pass_rate"] == "128/128" + _assert_sha256sums(directory) + assert mix_detected == 0 + assert mix_uw == 0 + assert letter_detected == 0 + assert visible_wm == 192 + assert identity_uw == 2 + assert mix_max == 0.5243003808577579 + assert letter_max == 0.5244247453791022 + 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 CYCLE8_LETTER_ALT_ARM_ID not in CYCLE8_BENCHMARK_ARM_IDS + + +def test_mix_confirmation_scorecard_is_verified_zero_of_192() -> None: + scorecard = _load("evidence/cycle8-mix-confirmation-2026-08-26/scorecard.json") + body = {key: value for key, value in scorecard.items() if key != "scorecard_hash"} + assert scorecard["scorecard_hash"] == sha256_json(body) + assert scorecard["scorecard_hash"] == _SCORECARD_HASH + rebuilt = build_mix_confirmation_scorecard() + assert rebuilt == scorecard + assert scorecard["algorithm_version"] == CYCLE8_MIX_CONFIRMATION_SCORECARD_VERSION + assert scorecard["freeze_version"] == CYCLE8_MIX_FREEZE_VERSION + assert scorecard["mechanism_id"] == CYCLE8_LETTER_ALT_ARM_ID + assert scorecard["confirmation"] is True + assert scorecard["run_once"] is True + assert scorecard["rerun_looking_for_zero"] is False + assert scorecard["freeze"] is True + assert scorecard["product_authorized"] is False + assert scorecard["release_registry_empty"] is True + assert scorecard["evidence_label"] == "VERIFIED" + assert scorecard["do_not_generate_950000"] is True + mix = scorecard["effectiveness"]["transformed_wm"] + uw = scorecard["effectiveness"]["transformed_uw"] + letter = scorecard["effectiveness"]["letter_x1_same_corpora"] + identity = scorecard["effectiveness"]["identity"] + assert mix["rate"] == "0/192" + assert mix["raw_watermarked_detected"] == 0 + assert uw["rate"] == "0/192" + assert uw["raw_unwatermarked_detected"] == 0 + assert letter["rate"] == "0/192" + assert letter["raw_watermarked_detected"] == 0 + assert identity["raw_watermarked_detected"] == 185 + assert identity["raw_unwatermarked_detected"] == 2 + assert float(mix["max_score"]) == 0.5243003808577579 + assert float(mix["min_gap_below_threshold"]) == 0.03279838457434092 + assert scorecard["visibility"]["watermarked_pass_rate"] == "192/192" + sanitizers = scorecard["durability"]["sanitizer_watermarked_detected"] + assert scorecard["durability"]["frozen_sanitizers_match_raw"] is True + assert all(value == 0 for value in sanitizers.values()) + 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." + + +def test_mix_confirmation_refuses_rerun() -> None: + with pytest.raises(ValueError, match="already generated"): + assert_cycle8_mix_confirmation_generation_seed(830000) + with pytest.raises(ValueError, match="already exists"): + mix_confirmation_main(["--seed-base", "830000", "--pair-count", "64"]) diff --git a/tests/test_cycle8_mix_freeze.py b/tests/test_cycle8_mix_freeze.py index 5811f9a1..b0ae8c8a 100644 --- a/tests/test_cycle8_mix_freeze.py +++ b/tests/test_cycle8_mix_freeze.py @@ -30,6 +30,7 @@ def test_mix_freeze_file_matches_embedded_payload() -> None: payload = {key: value for key, value in disk.items() if key != "freeze_hash"} assert payload == mix_freeze_payload() assert disk["freeze_hash"] == mix_freeze_hash() == sha256_json(payload) + assert disk["freeze_hash"] == "2286aa201bd9cb70136f2895740489136aa1ba7cfd9471c6e233fe201af41986" assert disk["algorithm_version"] == CYCLE8_MIX_FREEZE_VERSION assert disk["freeze"] is True assert disk["confirmation"] is False @@ -49,7 +50,7 @@ def test_mix_freeze_file_matches_embedded_payload() -> None: assert CYCLE8_LETTER_ALT_ARM_ID not in CYCLE8_BENCHMARK_ARM_IDS -def test_mix_confirmation_seeds_are_preregistered_and_ungenerated() -> None: +def test_mix_confirmation_seeds_are_spent_after_one_shot() -> None: primary = row_for_seed_base(830000) replica = row_for_seed_base(840000) hold = row_for_seed_base(850000) @@ -57,12 +58,12 @@ def test_mix_confirmation_seeds_are_preregistered_and_ungenerated() -> None: assert replica["generation_topic"] == CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC assert hold["generation_topic"] == CYCLE8_MIX_CONFIRMATION_HOLD_TOPIC for row in (primary, replica, hold): - assert row["generated"] is False - assert row["scored"] is False - assert row["eligible_for_confirmation"] is True - assert_cycle8_mix_confirmation_generation_seed(830000) - assert_cycle8_mix_confirmation_generation_seed(840000) - assert_cycle8_mix_confirmation_generation_seed(850000) + assert row["generated"] is True + assert row["scored"] is True + assert row["spent"] is True + assert row["eligible_for_confirmation"] is False + with pytest.raises(ValueError, match="already generated"): + assert_cycle8_mix_confirmation_generation_seed(830000) with pytest.raises(ValueError, match="confirmation"): assert_new_cycle8_mix_generation_seed(830000) with pytest.raises(ValueError, match="not a Cycle 8 mix confirmation"): diff --git a/tests/test_global_seed_ledger.py b/tests/test_global_seed_ledger.py index 4c4bf377..6043fc84 100644 --- a/tests/test_global_seed_ledger.py +++ b/tests/test_global_seed_ledger.py @@ -57,7 +57,7 @@ def test_global_seed_ledger_file_matches_embedded_payload() -> None: assert payload["algorithm_version"] == GLOBAL_SEED_LEDGER_VERSION -def test_global_ledger_marks_880000_exposed_and_keeps_confirmation_unseen() -> None: +def test_global_ledger_marks_880000_exposed_and_mix_confirmation_spent() -> None: exposed = row_for_seed_base(880000) assert exposed["publicly_exposed"] is True assert exposed["spent"] is True @@ -66,9 +66,10 @@ def test_global_ledger_marks_880000_exposed_and_keeps_confirmation_unseen() -> N assert PUBLICLY_EXPOSED_UNSEEN_INVALID_SEED_BASES == (880000,) for seed_base in CONFIRMATION_CONTENT_FORBIDDEN_SEED_BASES: row = row_for_seed_base(seed_base) - assert row["generated"] is False - assert row["scored"] is False - assert row["eligible_for_confirmation"] is True + assert row["generated"] is True + assert row["scored"] is True + assert row["spent"] is True + assert row["eligible_for_confirmation"] is False assert row["generation_topic"] in { CYCLE8_MIX_CONFIRMATION_PRIMARY_TOPIC, CYCLE8_MIX_CONFIRMATION_REPLICATION_TOPIC,