Стенд-проверка (stage-2) · промт оператора:

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "Implemented and ran the depth-feasibility certificate on the registered tabular Friedman regression track. The certificate selected depth 4 at lr=0.006, identical to the tuned baseline, yielding delta_mean=0 and permutation p_value=1.0. The mechanism signature was not confirmed: observed trained-model depth slope was -0.38086177111636127 versus the predicted -1.0.", "metrics": { "baseline": "Best depth=4, lr=0.006; full 8-seed MSE mean=11.343093633651733, std=1.098638538871677.", "idea": "Depth=4, lr=0.006; full 8-seed MSE mean=11.343093633651733, std=1.098638538871677; paired delta=0.0, p=1.0.", "certificate": "Floor bracket [-19.786727674992903,5.600807448724559], C_syn=70.65927382249097, chosen depth=4.", "mechanism_signature": "Predicted exponent=-1.0; observed slope=-0.38086177111636127; confirmed=false." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_depth_certificate.py", "files": [ "bench_depth_certificate.py", "bench_report.json" ], "limitations": "Only the registered tabular track was tested. Actual integer quantization, activation and weight bit widths, codebook metadata, GPU-hour savings, bootstrap confidence intervals, and the vision, sequence, and dynamics tracks were not tested. Calibration used a small 400/400 split and produced a very loose floor bracket.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "variable_mlp", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "depth": 4, "lr": 0.006 }, "sweep": [ { "cfg": { "depth": 1, "lr": 0.0015 }, "mean": 179.61644744873047 }, { "cfg": { "depth": 1, "lr": 0.003 }, "mean": 61.134450912475586 }, { "cfg": { "depth": 1, "lr": 0.006 }, "mean": 19.637452602386475 }, { "cfg": { "depth": 2, "lr": 0.0015 }, "mean": 48.220858573913574 }, { "cfg": { "depth": 2, "lr": 0.003 }, "mean": 18.314094066619873 }, { "cfg": { "depth": 2, "lr": 0.006 }, "mean": 15.357292652130127 }, { "cfg": { "depth": 3, "lr": 0.0015 }, "mean": 24.715059757232666 }, { "cfg": { "depth": 3, "lr": 0.003 }, "mean": 16.38268733024597 }, { "cfg": { "depth": 3, "lr": 0.006 }, "mean": 12.54684829711914 }, { "cfg": { "depth": 4, "lr": 0.0015 }, "mean": 22.451377391815186 }, { "cfg": { "depth": 4, "lr": 0.003 }, "mean": 14.139441013336182 }, { "cfg": { "depth": 4, "lr": 0.006 }, "mean": 11.652069807052612 } ], "full": { "per_seed": [ 10.326997756958008, 11.77970027923584, 10.673856735229492, 11.692980766296387, 9.679404258728027, 11.413150787353516, 11.966154098510742, 13.212504386901855 ], "mean": 11.343093633651733, "std": 1.098638538871677 } }, "idea": { "per_seed": [ 10.326997756958008, 11.77970027923584, 10.673856735229492, 11.692980766296387, 9.679404258728027, 11.413150787353516, 11.966154098510742, 13.212504386901855 ], "mean": 11.343093633651733, "std": 1.098638538871677 }, "comparison": { "delta_mean": 0.0, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], "p_value": 1.0, "mde": 0.0, "mde_rel_pct": 0.0, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "predicted_radius_depth_exponent": -1.0, "observed_test_error_depth_slope": -0.38086177111636127, "predicted_vs_observed_tolerance": 0.35, "confirmed": false, "observed_depth_errors": [ [ 1, 18.856087684631348 ], [ 2, 13.66954231262207 ], [ 3, 12.318396091461182 ], [ 4, 11.053349018096924 ] ], "note": "Measured on independently trained benchmark models." }, "certificate_calibration": { "floor_L": -19.786727674992903, "floor_U": 5.600807448724559, "C_syn": 70.65927382249097, "residual_std": 6.346883780929366 }, "chosen_depth": 4 }, "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }