Finite-Excitation Orthogonal Gradient Memory / bench_report.json

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  1{
  2  "bench_version": 1,
  3  "track": "tabular",
  4  "model": "mlp_tiny",
  5  "metric_direction": "lower is better",
  6  "n_seeds": 8,
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 83    "verdict": "no measurable effect",
 84    "system_worked": false
 85  },
 86  "mechanism_signature": {
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160    "confirmed": false
161  },
162  "track_justification": "Tabular is the prescribed optimizer track; Friedman regression with mlp_tiny has a trainable final linear head and fixed feature dimension, matching the memory correction."
163}