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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 7, "verdict": "The conjugate Bayesian latent dynamics head significantly improved test MSE on the registered dynamics track. It beat the tuned baseline on all 8 paired seeds with delta_mean -0.0321840645 and permutation p=0.0081. The trained-model signature confirmed leverage-dependent uncertainty scaling, though the uncertainty effect was small and coverage was conservative.", "metrics": { "baseline": "Best lr=0.01; full 8-seed mean MSE 0.032576876.", "idea": "Best lr=0.01; full 8-seed mean MSE 0.000392811.", "comparison": "delta_mean=-0.032184065; idea_wins=8/8; p_value=0.0081." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "This is a supervised fixed dynamics benchmark, not explicit online few-shot adaptation across separated meta-training tasks. Long-horizon rollout NLL, wall-clock adaptation speed, full multivariate Student-t likelihood, and a separately gradient-adapted MLP baseline were not tested.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "shared_gru_latent_linear_head", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.8660691231 }, { "cfg": { "lr": 0.003 }, "mean": 0.1684472114 }, { "cfg": { "lr": 0.01 }, "mean": 0.0309309498 } ], "full": { "mean": 0.032576876, "std": 0.009211684, "per_seed": [ 0.0271420833, 0.0288075507, 0.0398787633, 0.0278954022, 0.0506885462, 0.0219726935, 0.0244028382, 0.0398271307 ], "n": 8 } }, "idea": { "mean": 0.0003928115, "std": 0.0002174212, "per_seed": [ 8.35539e-05, 0.0004895747, 0.0001629032, 0.0004371287, 0.0004481616, 0.0004002869, 0.0008424268, 0.0002784559 ], "n": 8 }, "comparison": { "delta_mean": -0.0321840645, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -0.0270585293, -0.0283179759, -0.0397158601, -0.0274582735, -0.0502403846, -0.0215724066, -0.0235604114, -0.0395486748 ], "p_value": 0.0081, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "observed_far_near_ratio": 1.00186639, "predicted_far_near_ratio": 1.0018667, "interval_90pct_coverage": 1.0, "confirmed": true } }, "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 1, "system_judged": true }