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87 changes: 87 additions & 0 deletions benchmarks/atlas-hallucination-containment/README.md
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# Atlas Hallucination-Containment Benchmark (Protocol-C attested)

A signed, tamper-evident record of an internal Aether Atlas experiment. The
numbers in [`manifest.json`](./manifest.json) were produced **on the Aether VPS5
(Oracle) node** and signed in-process with that node's Ed25519 Protocol-C key.
You can verify, without trusting us, that these exact numbers were attested by
the holder of that key and have not been edited since.

> **Honest scope.** This is **not** a public NLP hallucination benchmark
> (TruthfulQA, HaluEval, etc.). It measures one thing: how often the Atlas
> **surfacing gate** withholds a mislabelled / decayed ("hallucinated") cell
> before it can be served as a fact, on a controlled synthetic cell population.
> It is an engine-level containment measurement, not a model-level accuracy
> claim. We publish it because the *attestation* is the point: a number you can
> cryptographically tie to a run on our hardware.

## Result

| metric | value |
|---|---|
| containment mean (200 seeds) | **0.687** |
| sd | 0.066 |
| 5th-percentile floor (conservative) | **0.578** |
| median | 0.684 |
| range | 0.469 – 0.915 |
| Layer-1 admission reject-rate of hallucinated cells | **0.000** |

**Read it as:** the surfacing gate contains ~**69% ± 7%** of hallucinated cells;
quote the **p05 floor (≈58%)** if you want a single conservative number. The
admission gate (Layer 1) rejects *none* of them — containment is entirely a
**Layer-3 staleness / re-validation** effect, not an admission filter. We state
that explicitly rather than imply a multi-layer filter that isn't doing the work.

### Method (what each seed runs)

100 cells/seed, 50/50 correct vs. hallucinated, through the real pipeline:

```
admit -> surface -> append real outcome -> re-surface with contra_r
containment = 1 - surfaced_hallucinated / hallucinated
```

200 deterministic seeds (0–199). The single-seed baseline is locked at
`containment >= 0.50` in the engine's own test suite; this is the multi-seed band
around it. The Atlas engine that ran it is proprietary, so this is **reproducible
by attestation, not from scratch** — the signature is the guarantee, not a
re-run on your machine.

## Verify it yourself

```bash
pip install cryptography
python verify_manifest.py manifest.json
```

Three independent checks, all must pass:

1. `results_hash` — `sha256(canonical(results))` equals `results_sha256`
(change one digit of any number → fails).
2. `attestation_bind` — the signed attestation commits to that same hash.
3. `ed25519_signature` — the signature verifies under the embedded
`public_key_pem` (re-signing with a different key changes the fingerprint).

## Trust model

- **Signer:** VPS5 / Oracle node, Ed25519. The Oracle is the Atlas signing +
audit authority, so a benchmark it signs carries the same provenance as an
Atlas cell write.
- **Public-key fingerprint (anchor this):**
`sha256(raw pubkey) = 920dd4c8559005db10e80cb127bce512e382ef7afc5e4a9f4189fd282fab79e7`
- **Engine identity:** `aether-atlas-deployed@vps5:d0de38aea90de664`
(content hash of the deployed gate/core/store modules at run time).
- The private key never left the node; only the signature and public key are
published here.

A valid signature proves the holder of the VPS5 Oracle key attested **these exact
numbers** at the recorded UTC. It does **not**, by itself, prove the key belongs
to Aether — anchor the fingerprint above against our published node key to close
that gap.

## What is deliberately NOT here

The Atlas LLM coding pool has a leakage-free SWE-bench *protocol*, but its current
input is a **synthetic** generator. We do **not** publish a SWE-bench
precision/F1 here, signed or otherwise, because a synthetic number is not a
benchmark result. That figure ships only after a real SWE-bench Verified run —
same attestation, real labels.
230 changes: 230 additions & 0 deletions benchmarks/atlas-hallucination-containment/manifest.json
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{
"attestation": {
"alg": "ed25519",
"engine": "aether-atlas-deployed@vps5:d0de38aea90de664",
"node": "VPS5-ORACLE",
"results_sha256": "068b1eb3af4134587542b73f6e484d2276e6b62a080490a487cfd0597be4c2b9",
"utc": "2026-06-13T15:30:31Z"
},
"benchmark": "atlas-hallucination-containment",
"public_key_pem": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEA9wIbGdvH+Gll5UHB8ATd/EkMHeOdfHRTOtnKCfqP2S0=\n-----END PUBLIC KEY-----\n",
"public_key_sha256": "920dd4c8559005db10e80cb127bce512e382ef7afc5e4a9f4189fd282fab79e7",
"results": {
"baseline_floor": 0.5,
"benchmark": "atlas-hallucination-containment",
"cells_per_seed": 100,
"layer1_admit_rate_hall_mean": 1.0,
"max": 0.914894,
"mean": 0.687343,
"median": 0.683569,
"method": "test_pipeline_statistics multi-seed (admit->surface->real->resurface contra_r)",
"min": 0.469388,
"n_seeds": 200,
"p05": 0.577735,
"per_seed_containment": [
0.734375,
0.690909,
0.659574,
0.56,
0.686275,
0.794872,
0.785714,
0.65,
0.740741,
0.755102,
0.791667,
0.785714,
0.65625,
0.644444,
0.914894,
0.689655,
0.62,
0.688889,
0.660377,
0.769231,
0.652174,
0.823529,
0.680851,
0.618182,
0.678571,
0.733333,
0.723404,
0.76,
0.603774,
0.666667,
0.810345,
0.781818,
0.723404,
0.704545,
0.701754,
0.734694,
0.673469,
0.804348,
0.784314,
0.633333,
0.717391,
0.685185,
0.540984,
0.6,
0.679245,
0.682927,
0.659574,
0.650794,
0.772727,
0.679245,
0.645833,
0.674419,
0.75,
0.75,
0.724138,
0.807692,
0.653061,
0.644444,
0.54,
0.673469,
0.708333,
0.804348,
0.666667,
0.78,
0.696429,
0.767857,
0.68,
0.744681,
0.702128,
0.672727,
0.693878,
0.72,
0.64,
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0.745098,
0.609756,
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0.698113,
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0.625,
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0.68,
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0.577778,
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0.733333,
0.622222,
0.659574,
0.591837,
0.66,
0.686275,
0.705882,
0.659091,
0.660377,
0.727273,
0.666667,
0.611111,
0.617021,
0.75,
0.705882,
0.659574,
0.690476,
0.685185,
0.695652,
0.636364,
0.591837,
0.666667,
0.581818,
0.745098,
0.723404,
0.666667,
0.76087,
0.754717,
0.724138,
0.658537,
0.641509,
0.55102,
0.74,
0.714286,
0.673469,
0.705882,
0.529412,
0.777778,
0.707317,
0.736842,
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0.711538,
0.689655,
0.765957,
0.666667,
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0.755102,
0.648148,
0.733333,
0.72093,
0.72549,
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0.58,
0.651163,
0.72549,
0.731707,
0.469388,
0.716981,
0.722222,
0.653061,
0.75,
0.660377,
0.666667,
0.654545,
0.818182,
0.77551,
0.616667,
0.666667,
0.682927,
0.625,
0.645833,
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0.708333,
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0.8,
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0.66,
0.54902,
0.647059,
0.64,
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0.708333,
0.653061
],
"sd": 0.066159
},
"results_sha256": "068b1eb3af4134587542b73f6e484d2276e6b62a080490a487cfd0597be4c2b9",
"signature_ed25519": "a766dcd2286104411cc5f240404bd1f91a6d4d2820085f1b85001a54093b1c6404d13a65f7706ae97c97aee6568060e3b7174532e65fcaf21e4a4aef17fc1604"
}
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