1{
  2  "bench_version": 1,
  3  "track": "tabular",
  4  "model": "mlp_med",
  5  "metric_direction": "lower is better",
  6  "n_seeds": 8,
  7  "baseline": {
  8    "best_cfg": {
  9      "lr": 0.003
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 24      {
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 28        "mean": 5.272171854972839
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 30    ],
 31    "full": {
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 50    },
 51    "sweep": [
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 54          "lr": 0.001
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 56        "mean": 6.933225512504578
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 58      {
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 61        },
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 64      {
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 66          "lr": 0.01
 67        },
 68        "mean": 5.218377470970154
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 70    ],
 71    "full": {
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 85    },
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 98    "n": 8
 99  },
100  "comparison": {
101    "delta_mean": 0.023311853408813477,
102    "idea_wins": 4,
103    "n_pairs": 8,
104    "per_seed_diffs": [
105      1.1137723922729492,
106      -0.606137752532959,
107      0.6123485565185547,
108      -0.7822484970092773,
109      -1.323349952697754,
110      -0.011754989624023438,
111      0.2579641342163086,
112      0.925900936126709
113    ],
114    "p_value": 0.94485,
115    "mde": 0.7252095318160074,
116    "mde_rel_pct": 13.396899005828097,
117    "verdict": "no measurable effect",
118    "system_worked": false
119  },
120  "mechanism_signature": {
121    "claim": "trained ICNN predictions satisfy midpoint Jensen convexity",
122    "predicted_max_violation": 0.0,
123    "observed_max_violation": 3.814697265625e-06,
124    "observed_violation_rate": 0.0,
125    "confirmed": true,
126    "n_models": 8
127  },
128  "protocol_notes": {
129    "structural_match": "tabular is the built-in track for architecture/regularization interventions",
130    "paired_seeds": [
131      0,
132      1,
133      2,
134      3,
135      4,
136      5,
137      6,
138      7
139    ],
140    "epochs": 25,
141    "batch": 128,
142    "baseline_and_idea_share_grid": true,
143    "baseline_architecture": "2-layer width-32 ReLU MLP",
144    "idea_architecture": "2-layer width-32 ICNN with softplus W>=0 and nonnegative output weights"
145  }
146}