# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented the LP-based normal-cone certificate controller on the matched tabular Friedman regression track with mlp_tiny. Mean test MSE improved from 11.4192 to 11.0530, but the paired permutation test was not significant (p=0.2116), and the trained-network mechanism signature was not confirmed.", "metrics": { "baseline": "lr=0.01, ratio=[100,10,1], mean MSE=11.4192293, std=1.3400197", "idea": "best shared-grid certificate result, mean MSE=11.0529555, std=1.1602236", "delta_mean": -0.3662738, "p_value": 0.2116, "idea_wins": 5, "n_pairs": 8, "math_check": "passed; LP weights [2.999999999,1.000000001], residual 1.0e-9", "mechanism_signature": "predicted epsilon=0.02, observed residual=infinity, positive margin frequency=0, confirmed=false" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_certified_priority.py", "files": [ "stage2_certified_priority.py", "bench_report.json", "bench_run.log" ], "limitations": "Only tabular/Friedman regression with mlp_tiny was tested; no explicit feasible-set multipliers, GradNorm, FLOP measurement, or other tracks were evaluated.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "comparison": { "delta_mean": -0.36627376079559326, "p_value": 0.2116, "idea_wins": 5, "verdict": "no significant win", "system_worked": false }, "baseline": { "best_cfg": { "lr": 0.01, "ratio": [ 100.0, 10.0, 1.0 ] }, "mean": 11.41922926902771, "std": 1.3400197166712482, "n": 8 }, "idea": { "mean": 11.052955508232117, "std": 1.160223574491651, "n": 8 }, "mechanism_signature": { "predicted_epsilon": 0.02, "observed_mean_residual": "Infinity", "positive_margin_frequency": 0.0, "confirmed": false } }, "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }