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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "The full Stage-2 tabular benchmark used the registered built-in track, identical end-to-end MLP systems, an equal learning-rate sweep, three Kac rotation counts, and eight paired seeds. The selected Kac projection had mean test MSE 17.1931 versus 18.6347 for the selected dense Gaussian baseline, but the paired permutation test was not significant (p=0.26985), so the idea did not win the benchmark. The trained-model norm signature was confirmed within the declared tolerance, but this does not override the task-metric result.", "metrics": { "baseline": "Dense Gaussian projected mlp_tiny, best configuration lr=0.01, M=6, full 8-seed mean test MSE=18.634669303894043.", "idea": "Kac-rotated projected mlp_tiny, best configuration lr=0.01, T=80, full 8-seed mean test MSE=17.193141102790833.", "paired_comparison": "make_report comparison: delta_mean=1.4415282011032104, idea_wins=2/8, p_value=0.26985, verdict=no significant win.", "mechanism_signature": { "statistic": "scaled projected input norm ratio measured on trained benchmark systems", "prediction": 1.0, "observed_mean": 0.9315284490585327, "observed_abs_error": 0.06847155094146729, "n_observations": 3200, "tolerance": 0.08, "confirmed": true } }, "bench_report": { "file": "bench_report.json", "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "T": 40 }, "sweep": "complete baseline sweep is stored in bench_report.json", "full": { "mean": 18.634669303894043, "std": 3.5162014961242676, "n": 8 } }, "idea": { "best_cfg": { "lr": 0.01, "T": 80 }, "mean": 17.193141102790833, "std": 3.2702713922060123, "per_seed": [ 18.909334182739258, 14.264732360839844, 21.892744064331055, 20.79402732849121, 11.515158653259277, 14.863554000854492, 18.321683883666992, 16.98389434814453 ], "n": 8 }, "comparison": { "delta_mean": 1.4415282011032104, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ 2.5540103912353516, 1.3900527954101562, 5.231769561767578, 6.061638832092285, -5.07785701751709, 1.7697381973266602, 1.0698318481445312, -1.466958999633789 ], "p_value": 0.26985, "mde": 2.9673645326602944, "mde_rel_pct": 18.838480549140286, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": { "statistic": "scaled projected input norm ratio", "prediction": 1.0, "observed_mean": 0.9315284490585327, "observed_abs_error": 0.06847155094146729, "n_observations": 3200, "tolerance": 0.08, "confirmed": true }, "idea_cfg": { "lr": 0.01, "T": 80 }, "baseline_cfg": { "lr": 0.01, "T": 40 }, "method": "fixed projection preprocessing plus identically trained MLP" }, "idea_sweep": "complete 9-configuration idea sweep is stored in bench_report.json", "protocol_notes": { "paired_seeds": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "epochs": 8, "n_train": 400, "n_test": 400, "structural_match": "tabular MLP projection bottleneck", "baseline_lr_union": [ 0.001, 0.003, 0.01 ], "baseline_method_knob": "projection width M=6", "projection_note": "Kac stream was precomputed once because it is fixed; this is algebraically identical to inserting it before the MLP." } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "Only the structurally matched built-in tabular track was tested. The fixed projection was precomputed rather than benchmarked as a fused inference kernel, so runtime speedup was not established. The complete baseline sweep and complete idea sweep are in the saved bench_report.json artifact.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }