{
  "bench_version": 1,
  "track": "dynamics",
  "model": "rnn_small",
  "metric_direction": "lower is better",
  "n_seeds": 8,
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        "cfg": {
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      "std": 5.912498369648286e-05,
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      "n": 8
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        "cfg": {
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      {
        "cfg": {
          "lr": 0.001,
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        "mean": 0.0048645936767570674
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        "cfg": {
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    "idea_wins": 1,
    "n_pairs": 8,
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      0.0005271985282888636,
      0.0006390762573573738,
      0.0001095260086003691,
      -5.874954513274133e-05,
      0.00024492398370057344,
      0.0005050821346230805
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    "p_value": 0.0163,
    "mde": 0.00020001775934380757,
    "mde_rel_pct": 97.16021109398662,
    "verdict": "idea worse (significant)",
    "system_worked": false
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  "mechanism_signature": {
    "prediction": "analytic triangular inverse and logdet remain exact after training",
    "reconstruction_max_abs": 1.1920928955078125e-07,
    "observed_mean_abs_logdet": 0.786198616027832,
    "observed_jacobian_logdet_abs_error": 1.1920928955078125e-07,
    "jacobian_sign": 1.0,
    "confirmed": true
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  "protocol_notes": {
    "epochs": 12,
    "n_train": 800,
    "n_test": 300,
    "idea_configs": [
      {
        "lr": 0.01,
        "K": 4
      },
      {
        "lr": 0.001,
        "K": 4
      },
      {
        "lr": 0.01,
        "K": 4
      }
    ],
    "structural_match": "controlled pendulum multi-step rollout; flow is trained end-to-end with shared GRU encoder"
  }
}