Exact energy-preserving activation subsampling / bench_report.json
Mechanism confirmed, baseline not beaten
1{
2 "bench_version": 1,
3 "track": "vision",
4 "model": "cnn_small",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
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92 "p_value": 0.64985,
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95 "verdict": "no measurable effect",
96 "system_worked": false
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98 "math_check": {
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100 "max_abs_energy_error": 1.4210854715202004e-14,
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119 "mechanism_signature": {
120 "prediction": "exact modeled energy has zero estimator variance; random signs have nonzero variance",
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165 ],
166 "confirmed": true
167 },
168 "protocol_note": "Vision selected because the intervention is activation/architecture normalization; duplicate CNN layers and identical trainer settings, with only energy statistic changed."
169}