{
  "result": "PASS",
  "arch": "qwen3",
  "bundle": "s1_mini_decode_int4lin",
  "artifact": null,
  "source_model": {
    "hf_id": "superwhisper/s1-mini",
    "revision": null,
    "weights_pinned": false,
    "note": "the oracle loads the source repo's default branch; the recipe's revision pins the export, not this comparison"
  },
  "protocol": {
    "prompt": "The alphabet begins A, B, C, D, E, F,",
    "max_new_tokens": 16,
    "greedy": true,
    "oracle_dtype": "fp32",
    "engine_variant": "coreai-pipelined",
    "warmup": "off",
    "env": {
      "COREAI_CHUNK_THRESHOLD": "1"
    },
    "tie_rule": "a first divergence passes only where the oracle's top-2 margin < 0.1"
  },
  "input_ids": [
    785,
    27790,
    12033,
    362,
    11,
    425,
    11,
    356,
    11,
    422,
    11,
    468,
    11,
    434,
    11
  ],
  "oracle": {
    "gen_ids": [
      479,
      11,
      472,
      11,
      358,
      11,
      619,
      11,
      730,
      11,
      444,
      11,
      386,
      11,
      451,
      11
    ],
    "gen_text": " G, H, I, J, K, L, M, N,",
    "top2_margins": [
      0.9382461309432983,
      0.9906136393547058,
      0.9890189170837402,
      0.9978666305541992,
      0.9628282785415649,
      0.9972420930862427,
      0.9949184060096741,
      0.9976938962936401,
      0.9824612736701965,
      0.9979916214942932,
      0.9995169639587402,
      0.9979200959205627,
      0.9942867159843445,
      0.9981576800346375,
      0.9996651411056519,
      0.9991534352302551
    ]
  },
  "engine": {
    "gen_text": " G, H, I, J, K, L, M, N,"
  },
  "match": {
    "exact_prefix": 16,
    "of": 16,
    "first_divergence": null
  },
  "schema": "coreai-gate-transcript/1",
  "generated_at": "2026-08-24T21:14:21+00:00",
  "environment": {
    "platform": "macOS-27.0-arm64-arm-64bit-Mach-O",
    "python": "3.14.6",
    "runner": "/Users/majimadaisuke/code/coreai/coreai-models/.build/release/llm-runner"
  },
  "recheck": {
    "engine_side_only": "Download the bundle at the pinned revision, then feed the recorded input_ids to llm-runner with the protocol above (greedy, warmup off, coreai-pipelined, COREAI_CHUNK_THRESHOLD=1). The output must equal engine.gen_text. No oracle, no fp32 weights, no GPU beyond the one running the bundle.",
    "full_gate": "python3 conversion/coreai_gate.py <bundle> superwhisper/s1-mini --arch qwen3 --prompt 'The alphabet begins A, B, C, D, E, F,' -n 16"
  }
}