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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Built and ran Stage-2 on the structurally matched registered dynamics track with eight paired seeds, a tuned baseline sweep, equal learning-rate search space, and a trained-model mechanism signature. The integral-residual system was worse than the tuned endpoint-MSE baseline (delta +0.00310189, p=0.31845), and the quantitative signature prediction was not confirmed. Therefore there is no observed benchmark win.", "metrics": { "baseline": "mean test MSE 0.01033135, std 0.00646953; best lr=0.01, weight_decay=0.0001", "idea": "mean test MSE 0.01343324, std 0.00623061; best lr=0.01, lam=0.0001; paired delta +0.00310189; 3/8 wins; permutation p=0.31845" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_stage2.py", "files": [ "bench_stage2.py", "bench_report.json" ], "limitations": "The completed run used 400 training examples, 150 test examples, and 6 epochs because the initial larger run exceeded the 40-minute limit. The implementation used observed prefix-theta differences as an integral-residual surrogate rather than a separately parameterized vector field with explicit midpoint quadrature; higher-order quadrature and larger-scale training were not tested.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "weight_decay": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0 }, "mean": 0.1634710617363453 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001 }, "mean": 0.16360631212592125 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.02722445083782077 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 0.027167017105966806 }, { "cfg": { "lr": 0.01, "weight_decay": 0.0 }, "mean": 0.013583156396634877 }, { "cfg": { "lr": 0.01, "weight_decay": 0.0001 }, "mean": 0.013508650125004351 } ], "full": { "mean": 0.010331348807085305, "std": 0.006469534881760542, "per_seed": [ 0.006849721539765596, 0.014833156950771809, 0.0069954125210642815, 0.025356309488415718, 0.009617128409445286, 0.0034944582730531693, 0.009336123242974281, 0.006168480031192303 ], "n": 8 } }, "idea": { "best_cfg": { "lr": 0.01, "lam": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.001, "lam": 0.0001 }, "mean": 0.16453255899250507 }, { "cfg": { "lr": 0.003, "lam": 0.0001 }, "mean": 0.029194727540016174 }, { "cfg": { "lr": 0.01, "lam": 0.0001 }, "mean": 0.01772080734372139 } ], "full": { "mean": 0.013433240383164957, "std": 0.006230608825055202, "per_seed": [ 0.024367019534111023, 0.015733294188976288, 0.013501754030585289, 0.01728116162121296, 0.016352977603673935, 0.009692054241895676, 0.00801459327340126, 0.0025230685714632273 ], "n": 8 } }, "comparison": { "delta_mean": 0.0031018915760796517, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ 0.017517297994345427, 0.0009001372382044792, 0.0065063415095210075, -0.008075147867202759, 0.006735849194228649, 0.006197595968842506, -0.001321529969573021, -0.0036454114597290754 ], "p_value": 0.31845, "mde": 0.006606975042569378, "mde_rel_pct": 63.950749954722966, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "observed_increment_mse": 0.0016462175408378243, "predicted_increment_mse": 0.010509551968425512, "endpoint_test_mse": 0.013433240383164957, "prediction": "integral residual uses observed increments instead of noisy finite-difference derivatives", "confirmed": false } }, "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }