{
 "answer_policy": "always_answers",
 "contract": "solomon-v1",
 "design": {
  "ordered": "S",
  "single_choice": "R"
 },
 "envelope": {
  "calibration_payload_sha256": "945bad449b7f5ffc88e597277d632fbab81c3c8729e22c8babd3f4a45fe1378b",
  "evidence_head_sha256": "5088019adb67e523ef7411cf75e354f1070e5752c132e50f5f3acc4feb1c0f6c",
  "evidence_policy_sha256": "866888d26a5da9c91ffb1b418334e174a80320ea5f8d2216c2d459f2e25f3c84"
 },
 "head_routing": {
  "entity/state4": "boolean/state4",
  "multilabel/state4": "boolean/state4"
 },
 "precision": "bf16",
 "prompts_sha256": null,
 "provenance": {
  "calibration_file_sha256": "1a2285d8fd56d17ee1d06a1e9fce866cc0d3b0263730754babb11deea5f1f7c9",
  "calibration_fitted_on": {
   "adapter_sha256": "d122466d430a058bb6457d919f811160e97fbd20149f4f24ca455c5d83e360a0",
   "trained_heads_sha256": "f766d752d7768a419a9657155cf27f042834d9de29392cf7470d8725130e67ab"
  },
  "calibration_payload_sha256": "945bad449b7f5ffc88e597277d632fbab81c3c8729e22c8babd3f4a45fe1378b",
  "identity_source": "live engine on the serving image, one capture per precision",
  "temperature_values": {
   "boolean": 1.0,
   "multilabel": 1.0,
   "ordered": 1.0,
   "single": 1.0
  }
 },
 "readout": "four_collapsed",
 "runtime": {
  "adapter_sha256": "d122466d430a058bb6457d919f811160e97fbd20149f4f24ca455c5d83e360a0",
  "answer_engine_sha256": "839442be642ac6449b32492b2ca0a4bce65de2d6095f097b053ed667304ec9fb",
  "answer_heads": "boolean/state4,ordered/choiceR,ordered/choiceS,ordered/sufficiency3,ordered/threshold4,single/choiceR,single/choiceS,single/sufficiency3",
  "answer_projection": "trained-semantic-head-float32",
  "arithmetic": "bf16-fp32-recurrence",
  "backend": "cuda",
  "base_engine_sha256": "28572bc9bafae9c9bd9ad42d4de2dc267ad083f126379beaf486bd4b1795641a",
  "base_fingerprint": "ff3728053ed11ba8bfabca47eb048a51657e3228a3beef41743605e5916633d6",
  "code_sha256": "ff6779232b56469d2273cc548f4de7f7a0f6a15731c7c0986e453a2dd1180e5f",
  "evidence_head_sha256": "5088019adb67e523ef7411cf75e354f1070e5752c132e50f5f3acc4feb1c0f6c",
  "evidence_thresholds_sha256": "866888d26a5da9c91ffb1b418334e174a80320ea5f8d2216c2d459f2e25f3c84",
  "execution": "cached",
  "model_sha256": "77042094076611b69791a610065f28b7013b8c621795fa86ddccc8bac7d1b9df",
  "numerics": "bf16-sdpa-attention-fp32-recurrence-fla",
  "placement": "question",
  "precision": "bf16",
  "serving_sha256": "978a6f1d1193dd535a5fc03fa393b6421a2cd7c85bb77b1dfa796b7fcfb92836",
  "torch": "2.13.0+cu130",
  "trained_heads_report_sha256": null,
  "trained_heads_sha256": "f766d752d7768a419a9657155cf27f042834d9de29392cf7470d8725130e67ab",
  "weights": "bf16"
 },
 "schema": "solomon-serving-binding-v1",
 "sha256": "0add0efda28902180db757a12160953e0f5d8dc303decc27b2cfda84db900da8",
 "temperatures": {
  "application": {
   "by_head_key": {
    "boolean/state4": [
     "boolean",
     "multilabel"
    ],
    "ordered/choiceS": "ordered",
    "single/choiceR": "single"
   },
   "choice": {
    "branches": "|R single choice (single/choiceR), |S ordered choice (ordered/choiceS)",
    "confidence": "the listed top-1 probability",
    "expression": "probabilities = softmax(x[:n] / T)",
    "note": "slice to the n listed options first, then divide by T. Reserved slots are never scored.",
    "rule": "SLICE THEN TEMPER"
   },
   "granularity": "per answer type. The merged yes/no head serves two types, so by_head_key maps it to both and the served type selects the scalar.",
   "idempotence": "apply exactly once; the returned probability and the listed top-1 derive from the same tempered read.",
   "note": "Nouls and choices are tempered DIFFERENTLY. Implement exactly as written.",
   "noul": {
    "branches": "yes/no and every multi-label candidate (head_key boolean/state4, the merged head)",
    "confidence": "max(P(yes), 1 - P(yes))",
    "expression": "z = x[0] - logsumexp(x[1:]);  P(yes) = sigmoid(z / T)",
    "note": "x is the full four-letter logit vector. Do NOT compute softmax(x / T)[0].",
    "rule": "COLLAPSE THEN TEMPER"
   }
  },
  "fit": {
   "calibration_file_sha256": "ea069d224501af950caaae6914d6fdf14ce6d4d2bda566c41549b1e8c30a6222",
   "decision": "served at T = 1.0 for every type: the fitted scalars did not improve held-out calibration (test ECE worse in 8 of 10 type x modality cells; n-weighted 0.0212 fitted vs 0.0199 unscaled)",
   "modality": "image rows use the same per-type scalar (no modality key in serving)",
   "scored_heads_note": "scores were produced with a heads file whose two extra (entity/multilabel) slots were never read; its other 16 arrays are byte-identical to the shipped heads file, so the served logits are the fitted logits",
   "scored_heads_sha256": "96ea51416bbeb32d991b7b38d7f0c22ff3e82539c8910284c4fb1961f2869ace",
   "source": "real development documents (held out from test), this model's BF16 scores, one NLL-minimising scalar per answer type"
  },
  "fitted_on_model": {
   "adapter_sha256": "d122466d430a058bb6457d919f811160e97fbd20149f4f24ca455c5d83e360a0",
   "trained_heads_sha256": "f766d752d7768a419a9657155cf27f042834d9de29392cf7470d8725130e67ab"
  },
  "frozen": true,
  "models": {
   "boolean": {
    "applied": false,
    "fit_units": 192,
    "fitted_temperature": 0.8175095705097734,
    "head_key": "boolean/state4",
    "kind": "noul",
    "task": "boolean",
    "temperature": 1.0,
    "unit": "question"
   },
   "multilabel": {
    "applied": false,
    "fit_units": 1862,
    "fitted_temperature": 0.842297230286191,
    "head_key": "boolean/state4",
    "kind": "noul",
    "task": "multilabel",
    "temperature": 1.0,
    "unit": "candidate noul"
   },
   "ordered": {
    "applied": false,
    "fit_units": 134,
    "fitted_temperature": 1.2561869742268443,
    "head_key": "ordered/choiceS",
    "kind": "choice",
    "task": "ordered",
    "temperature": 1.0,
    "unit": "question"
   },
   "single": {
    "applied": false,
    "fit_units": 134,
    "fitted_temperature": 1.107722547236206,
    "head_key": "single/choiceR",
    "kind": "choice",
    "task": "single",
    "temperature": 1.0,
    "unit": "question"
   }
  },
  "schema": "solomon-readout-temperature-v3",
  "sha256": "945bad449b7f5ffc88e597277d632fbab81c3c8729e22c8babd3f4a45fe1378b"
 }
}