{
  "bench_version": 1,
  "track": "dynamics",
  "model": "rnn_small",
  "metric_direction": "lower is better",
  "n_seeds": 8,
  "baseline": {
    "best_cfg": {
      "lr": 0.01,
      "weight_decay": 0.0001
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    "sweep": [
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        "cfg": {
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      {
        "cfg": {
          "lr": 0.001,
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      {
        "cfg": {
          "lr": 0.003,
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      {
        "cfg": {
          "lr": 0.003,
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      {
        "cfg": {
          "lr": 0.01,
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      {
        "cfg": {
          "lr": 0.01,
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    ],
    "full": {
      "mean": 0.0005577069205173757,
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      "per_seed": [
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        0.0004913305747322738,
        0.0004835708241444081,
        0.0009056012495420873,
        0.0005242845509201288,
        0.0003316242655273527,
        0.0006971154361963272,
        0.0005613178364001215
      ],
      "n": 8
    }
  },
  "idea": {
    "mean": 0.0005104744304844644,
    "std": 0.00016259431597973005,
    "per_seed": [
      0.0005603914032690227,
      0.0004172833578195423,
      0.00043428907520137727,
      0.0008996041724458337,
      0.00048453747876919806,
      0.00045123344170860946,
      0.000313605327391997,
      0.0005228511872701347
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    "n": 8,
    "chosen_cfg": {
      "lr": 0.01,
      "weight_decay": 0.0001,
      "delta": 0.5,
      "beta": 0.7,
      "slope": 8.0
    },
    "sweep": [
      {
        "cfg": {
          "lr": 0.001,
          "weight_decay": 0.0001,
          "delta": 0.25,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.001631094521144405
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      {
        "cfg": {
          "lr": 0.001,
          "weight_decay": 0.0001,
          "delta": 0.35,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0015781476977281272
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      {
        "cfg": {
          "lr": 0.001,
          "weight_decay": 0.0001,
          "delta": 0.5,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0017034276097547263
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      {
        "cfg": {
          "lr": 0.003,
          "weight_decay": 0.0001,
          "delta": 0.25,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0012407805188558996
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      {
        "cfg": {
          "lr": 0.003,
          "weight_decay": 0.0001,
          "delta": 0.35,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0012196671304991469
      },
      {
        "cfg": {
          "lr": 0.003,
          "weight_decay": 0.0001,
          "delta": 0.5,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0011900454992428422
      },
      {
        "cfg": {
          "lr": 0.01,
          "weight_decay": 0.0001,
          "delta": 0.25,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0006524444761453196
      },
      {
        "cfg": {
          "lr": 0.01,
          "weight_decay": 0.0001,
          "delta": 0.35,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.0006070969975553453
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      {
        "cfg": {
          "lr": 0.01,
          "weight_decay": 0.0001,
          "delta": 0.5,
          "beta": 0.7,
          "slope": 8.0
        },
        "mean": 0.000577892002183944
      }
    ]
  },
  "comparison": {
    "delta_mean": -4.72324900329113e-05,
    "idea_wins": 6,
    "n_pairs": 8,
    "per_seed_diffs": [
      9.358077659271657e-05,
      -7.404721691273153e-05,
      -4.9281748943030834e-05,
      -5.9970770962536335e-06,
      -3.974707215093076e-05,
      0.00011960917618125677,
      -0.00038351010880433023,
      -3.846664912998676e-05
    ],
    "p_value": 0.5225,
    "mde": 0.00012771297744744513,
    "mde_rel_pct": 22.89965800118956,
    "verdict": "no significant win",
    "system_worked": false
  },
  "mechanism_signature": {
    "prediction": "expansive temporal receptive fields should yield r>1+delta and gate<0.5",
    "observed_mean_ratio": 1.284388935357143,
    "observed_mean_gate": 0.8395185023546219,
    "predicted_threshold": 1.35,
    "confirmed": false
  },
  "protocol_note": "Baseline sweep and idea sweep use shared lr union; 8 paired seeds; dynamics is structurally matched to stability/control."
}