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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented and ran the full 8-seed Stage-2 dynamics benchmark with a baseline sweep and a three-setting idea sweep over the same learning-rate union. The idea's best test MSE was 0.008810 versus baseline 0.007724, with paired delta +0.001086 and permutation p=0.1829, so there was no significant win. The trained-model mechanism signature was not confirmed because intervention target errors were approximately 0.444, although downstream separation was 0.275.", "metrics": { "baseline": "Best lr=0.003; mean test MSE 0.007723776740022004; std 0.0016993505269699558.", "idea": "Best lr=0.01, 8 solver steps, residual step size 0.2; mean test MSE 0.008810116676613688; std 0.0023181915418372715.", "paired_delta": "0.0010863399365916848 (idea minus baseline; higher is worse)", "permutation_p_value": 0.1829, "idea_wins": "3/8 paired seeds", "mechanism_signature": { "trained_model_target_error_f0": 0.44350090622901917, "trained_model_target_error_f1": 0.44543659687042236, "trained_model_downstream_separation": 0.2748295068740845, "confirmed": false } }, "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.010543678537942469 }, { "cfg": { "lr": 0.003 }, "mean": 0.008196698385290802 }, { "cfg": { "lr": 0.01 }, "mean": 0.009198607411235571 } ], "full": { "mean": 0.007723776740022004, "std": 0.0016993505269699558, "per_seed": [ 0.0053276014514267445, 0.00833857711404562, 0.008281959220767021, 0.01083865575492382, 0.008155343122780323, 0.005130748730152845, 0.007964092306792736, 0.007753236219286919 ], "n": 8 } }, "idea": { "mean": 0.008810116676613688, "std": 0.0023181915418372715, "per_seed": [ 0.009634214453399181, 0.007696767803281546, 0.01108845230191946, 0.013114262372255325, 0.009547872468829155, 0.006006436888128519, 0.006788569502532482, 0.006604357622563839 ], "n": 8 }, "comparison": { "delta_mean": 0.0010863399365916848, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ 0.004306613001972437, -0.0006418093107640743, 0.002806493081152439, 0.002275606617331505, 0.001392529346048832, 0.0008756881579756737, -0.001175522804260254, -0.0011488785967230797 ], "p_value": 0.1829, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "same xi imposed by different equation replacements yields different downstream state", "n_samples": 64, "xi": 0.08397173136472702, "trained_model_target_error_f0": 0.44350090622901917, "trained_model_target_error_f1": 0.44543659687042236, "trained_model_downstream_separation": 0.2748295068740845, "baseline_vs_observational_prediction_abs_gap": 0.05360101908445358, "confirmed": false } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the built-in dynamics track was tested; no custom track, implicit Newton/Jacobian solve, multi-step intervention dataset, wall-clock comparison, or larger-scale world-model evaluation was run. The idea model also had 11043 parameters versus 3601 for the baseline, so this result does not establish equal-parameter superiority.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }