{
 "schema": 1,
 "suite": "parity",
 "date": "2026-10-24",
 "machine": "rtx-5090",
 "device": "cpu",
 "ollaya": "0.17.0 at 1b04acb with local changes",
 "protocol": {
  "reference": "goldens from each family's goldens.py: the authors' code in PyTorch fp32 (TF32 off) on the checkpoint the manifest names",
  "gate": "fp32 tags: identical encodings and decisions, option logits within 1e-3, wire answers as the authors' code; -fp16 tags (docs/decisions/0008-fp16-decoder-tags.md): identical encodings, at least 99.5 % of decisions the same, differences reported",
  "runner": "convert/ollaya_convert/parity_run.py with crates/ollaya-runner/examples/parity_<family>.rs"
 },
 "results": [
  {
   "model": "d3:flash",
   "questions": 696,
   "decisions_same": 696,
   "max_logit_diff": 0.000110626220703125,
   "max_prob_diff": 0.000004297413524811944,
   "p99_prob_diff": 0.000002594566653246755,
   "pass": true,
   "device": "cpu",
   "kind": "runtime",
   "gate": "fp32",
   "export_sha256": "ea420a76a283af23be35720ed10099633a03782321f446ce08b4739ff8be79bb"
  },
  {
   "model": "d3:lite",
   "questions": 696,
   "decisions_same": 696,
   "max_logit_diff": 0.00004673004150390625,
   "max_prob_diff": 0.000020085380394441188,
   "p99_prob_diff": 0.0000035227007445515213,
   "pass": true,
   "device": "cpu",
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   "gate": "fp32",
   "export_sha256": "2fb3a6193509a1e12c2c4b3360f7cb377a9a01a5212198b04e28063fe8f5a7ab"
  },
  {
   "model": "d3:mini",
   "questions": 696,
   "decisions_same": 696,
   "max_logit_diff": 0.000030517578125,
   "max_prob_diff": 0.0000023344629996868704,
   "p99_prob_diff": 0.0000019512739388716227,
   "pass": true,
   "device": "cpu",
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   "export_sha256": "53e04a0699e625a6e386cc204959bae288b3ad9cd95a0cc0148d764e0ef6f05a"
  },
  {
   "model": "d3:nano",
   "questions": 696,
   "decisions_same": 696,
   "max_logit_diff": 0.0000152587890625,
   "max_prob_diff": 0.000004178123136799883,
   "p99_prob_diff": 0.0000025108097995163448,
   "pass": true,
   "device": "cpu",
   "kind": "runtime",
   "gate": "fp32",
   "export_sha256": "402ef719a14db4a2060dbd7129edfeb05fcac45d9890be12a99bc138171f79cd"
  }
 ]
}