{
  "note": "rec_model.onnx = seed1 TIA-on retrain (DOK run_final_retrain, de-leaked train222/val95). paddle pdparams/inference are the PRIOR stable (not updated). dict (inference.yml) identical.",
  "recipe": {
    "reconaug": true,
    "jitter": true,
    "lr": 0.0005,
    "warmup_epoch": 2,
    "epoch_num": 80,
    "batch_size": 128,
    "tia_prob": 0.4,
    "global_seed": 1
  },
  "clean_val": {
    "raw_code_recall": 55.94,
    "matched_code_recall": 56.64
  },
  "e2e_test_with_cleaned_det": {
    "raw_code_recall": 61.54,
    "matched_code_recall": 61.54,
    "matched_precision": 58.54
  },
  "tia_value": "+4.9pt paired (n=3 seeds) vs TIA-off; see docs/experiments/rec_speedup_brainstorm_20260601.md"
}