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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented an end-to-end Envelope-Max recurrent operator on the structurally matched actuated-pendulum dynamics track, using the canonical bench trainer and identical GRU backbone conditions. The best envelope configuration had mean test MSE 0.0008847 versus 0.0007334 for the tuned baseline, with paired delta +0.0001513 and permutation p=0.08585; therefore there was no significant improvement. The trained-model mechanism signature was confirmed: branch spread was 0.2787, soft-minus-hard envelope gap was 0.00450, and subset refinement error decreased from 0.5144 at 2 branches to 0 at 5 branches.", "metrics": { "baseline": "Best lr=0.006, 10 epochs; 8-seed mean MSE 0.0007333773, std 0.0002311948; per-seed [0.0007082645, 0.0011445400, 0.0004792809, 0.0008078635, 0.0003539511, 0.0006696217, 0.0007750761, 0.0009284206]", "idea": "Best 5-branch envelope, lr=0.006, 10 epochs; 8-seed mean MSE 0.0008847053, std 0.0002666755; per-seed [0.0010930252, 0.0010985391, 0.0007570339, 0.0011700015, 0.0003586198, 0.0010039998, 0.0006030830, 0.0009933418]", "paired_delta": "idea - baseline = +0.0001513280 MSE; idea wins 2/8 pairs; permutation p=0.08585; verdict=no significant win" }, "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "epochs": 10, "branches": 1 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 10, "branches": 1 }, "mean": 0.0019458123424556106 }, { "cfg": { "lr": 0.003, "epochs": 10, "branches": 1 }, "mean": 0.000998065312160179 }, { "cfg": { "lr": 0.006, "epochs": 10, "branches": 1 }, "mean": 0.0007849872272345237 } ], "full": { "mean": 0.0007333773064601701, "std": 0.00023119481143299165, "per_seed": [ 0.0007082645315676928, 0.0011445400305092335, 0.00047928086132742465, 0.0008078634855337441, 0.00035395112354308367, 0.0006696216878481209, 0.0007750760996714234, 0.0009284206316806376 ], "n": 8 } }, "idea": { "cfg": { "lr": 0.006, "epochs": 10, "branches": 5 }, "mean": 0.0008847052595228888, "std": 0.00026667546357193395, "per_seed": [ 0.0010930252028629184, 0.0010985390981659293, 0.0007570339366793633, 0.001170001458376646, 0.00035861978540197015, 0.0010039987973868847, 0.0006030820077285171, 0.0009933417895808816 ], "n": 8 }, "comparison": { "delta_mean": 0.00015132795306271873, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ 0.0003847606712952256, -4.600093234330416e-05, 0.0002777530753519386, 0.00036213797284290195, 4.66866185888648e-06, 0.00033437710953876376, -0.00017199409194290638, 6.4921157900244e-05 ], "p_value": 0.08585, "mde": 0.00017902087041145347, "mde_rel_pct": 24.410473140427907, "verdict": "no significant win", "system_worked": false }, "idea_sweep": [ { "cfg": { "lr": 0.001, "epochs": 10, "branches": 5 }, "mean": 0.00476446797256358, "std": 0.0010113119245195041 }, { "cfg": { "lr": 0.003, "epochs": 10, "branches": 5 }, "mean": 0.0016875666624400765, "std": 0.00044316453275384946 }, { "cfg": { "lr": 0.006, "epochs": 10, "branches": 5 }, "mean": 0.0008847052595228888, "std": 0.00026667546357193395 } ], "mechanism_signature": { "trained_model": true, "soft_minus_hard_mean": 0.004501420073211193, "soft_minus_hard_std": 0.008464416489005089, "branch_spread_mean": 0.2787400186061859, "subset_refinement": [ { "M": 2, "mean_abs_to_full": 0.5144225358963013 }, { "M": 3, "mean_abs_to_full": 0.035924121737480164 }, { "M": 5, "mean_abs_to_full": 0.0 } ], "confirmed": true, "note": "Values measured on the seed-0 trained dynamics model." } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the built-in actuated-pendulum dynamics track was tested; no PDE/operator-learning, stochastic multi-step policy rollout, learned action proposals, branch-count sweep, FLOP-normalized comparison, or longer training schedule was evaluated. The mechanism signature used one trained seed-0 model, while the primary comparison used the required eight paired seeds.", "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }