Reciprocal-Lattice Gauge-Covariant Bloch Network / bench_report.json
Beats tuned baseline
1{
2 "bench_version": 1,
3 "track": "bloch_gauge_pde",
4 "model": "mlp_tiny",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
7 "baseline": {
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52 "n": 8
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101 "comparison": {
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115 "p_value": 0.0081,
116 "mde": 0.012368184909651097,
117 "mde_rel_pct": 3.15699912032031,
118 "verdict": "idea better (significant)",
119 "system_worked": true
120 },
121 "mechanism_signature": {
122 "prediction": "canonicalized model has much smaller trained-model reciprocal-shift gauge discrepancy",
123 "rows": {
124 "baseline": {
125 "shift_m": 1,
126 "observed_gauge_rmse": 0.8507512807846069,
127 "relative_rmse": 0.9375168128658017
128 },
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131 "observed_gauge_rmse": 5.5333178039518316e-08,
132 "relative_rmse": 5.384122013910342e-08
133 }
134 },
135 "confirmed": true
136 },
137 "custom_track": {
138 "name": "bloch_gauge_pde",
139 "file": "bloch_track.py",
140 "domain": "pde"
141 }
142}