Pole-safe rational neural layer / bench_report.json

✓✓ Beats tuned baseline

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  1{
  2  "bench_version": 1,
  3  "track": "dynamics",
  4  "model": "rnn_small",
  5  "metric_direction": "lower is better",
  6  "n_seeds": 8,
  7  "baseline": {
  8    "best_cfg": {
  9      "lr": 0.001
 10    },
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 18      {
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 22        "mean": 870.165714263916
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 24      {
 25        "cfg": {
 26          "lr": 0.01
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 28        "mean": 682.9689865112305
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 30    ],
 31    "full": {
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 33      "std": 53.34609536660658,
 34      "per_seed": [
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 37        118.25131225585938,
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 39        153.9148406982422,
 40        100.01561737060547,
 41        89.7911148071289,
 42        42.410911560058594
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 44      "n": 8
 45    }
 46  },
 47  "idea": {
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 49    "std": 0.43340968114270667,
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 57      0.3914429545402527,
 58      0.4206083416938782
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 60    "n": 8
 61  },
 62  "comparison": {
 63    "delta_mean": -118.11264292895794,
 64    "idea_wins": 8,
 65    "n_pairs": 8,
 66    "per_seed_diffs": [
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 68      -59.441646099090576,
 69      -117.85450866818428,
 70      -180.47445952892303,
 71      -153.6057986319065,
 72      -99.7402700483799,
 73      -89.39967185258865,
 74      -41.990303218364716
 75    ],
 76    "p_value": 0.0081,
 77    "mde": 47.5644061392987,
 78    "mde_rel_pct": 40.085028285820826,
 79    "verdict": "idea better (significant)",
 80    "system_worked": true
 81  },
 82  "audit": {
 83    "structural_match": "dynamics stability/control",
 84    "base_architecture": "rnn_small GRU plus scalar Laurent readout",
 85    "idea_configs": [
 86      {
 87        "lr": 0.001
 88      },
 89      {
 90        "lr": 0.003
 91      },
 92      {
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 95    ],
 96    "baseline_grid": [
 97      {
 98        "lr": 0.001
 99      },
100      {
101        "lr": 0.003
102      },
103      {
104        "lr": 0.01
105      }
106    ],
107    "baseline_best_lr": 0.001,
108    "idea_best_lr": 0.001,
109    "epochs": 12,
110    "n_train": 400,
111    "n_test": 200,
112    "parameter_parity": true
113  },
114  "mechanism_signature": {
115    "prediction": "unsafe output scales as t^-2; safe output is bounded (t^0)",
116    "observed": {
117      "baseline": {
118        "distances": [
119          0.05,
120          0.03,
121          0.02,
122          0.01
123        ],
124        "mean_abs_outputs": [
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126          4.7458672523498535,
127          10.651176452636719,
128          42.497459411621094
129        ],
130        "loglog_slope": -1.99381250167288,
131        "predicted_slope": -2.0,
132        "absolute_slope_error": 0.006187498327119956
133      },
134      "idea": {
135        "distances": [
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137          0.03,
138          0.02,
139          0.01
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141        "mean_abs_outputs": [
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144          1.0042619705200195,
145          1.0017340183258057
146        ],
147        "loglog_slope": 0.00618747125927932,
148        "predicted_slope": 0.0,
149        "absolute_slope_error": 0.00618747125927932
150      }
151    },
152    "confirmed": true
153  },
154  "idea_sweep": [
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156      "cfg": {
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158      },
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161    {
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167    {
168      "cfg": {
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171      "mean": 0.9318437203764915
172    }
173  ]
174}