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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Built and evaluated a custom periodic Burgers PDE track because the built-in dynamics track lacks periodic spatial quadratic-product structure. Across eight paired seeds, alpha=1/3 had mean test MSE 4.3688922346518666e-05 versus 4.365622254454138e-05 for the tuned naive alpha=1 baseline, giving delta_mean +3.269980197728728e-08 and permutation p=0.28455. This is no measurable effect, not a significant win.", "metrics": { "baseline": "alpha=1, lr=0.01; mean MSE 4.365622254454138e-05; std 4.107952621194168e-05", "idea": "alpha=1/3, lr=0.01; mean MSE 4.3688922346518666e-05; std 4.108227626022683e-05", "paired_delta": "3.269980197728728e-08, idea minus baseline", "permutation_p": "0.28455", "paired_wins": "4/8" }, "bench_report": { "bench_version": 1, "track": "burgers_periodic_split", "model": "custom_split_quadratic_net", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "alpha": 1.0 }, "sweep": [ { "cfg": { "lr": 0.001, "alpha": 1.0 }, "mean": 0.006492269458249211 }, { "cfg": { "lr": 0.003, "alpha": 1.0 }, "mean": 0.0016466164756820945 }, { "cfg": { "lr": 0.01, "alpha": 1.0 }, "mean": 4.1648485307632654e-05 } ], "full": { "mean": 4.365622254454138e-05, "std": 4.107952621194168e-05, "per_seed": [ 0.00012220298231113702, 8.426587555732112e-06, 2.8994390959269367e-05, 6.969980404392118e-06, 8.339938176504802e-06, 0.00010017721069743857, 3.7151563446968794e-05, 3.698712680488825e-05 ], "n": 8 } }, "idea": { "mean": 4.3688922346518666e-05, "std": 4.108227626022683e-05, "per_seed": [ 0.00012215199240017682, 8.366856491193175e-06, 2.900941217376385e-05, 6.9578209149767645e-06, 8.438861186732538e-06, 0.00010030106932390481, 3.73090551875066e-05, 3.6976311093894765e-05 ], "n": 8 }, "comparison": { "delta_mean": 3.269980197728728e-08, "idea_wins": 4, "n_pairs": 8, "p_value": 0.28455, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "predicted": { "aliasing_root_alpha_for_tau4_i1_j1": 0.3333333333333333 }, "observed": { "baseline_alpha": 1.0, "idea_alpha": 0.3333333333333333, "baseline_test_mse": 4.365622254454138e-05, "idea_test_mse": 4.3688922346518666e-05 }, "confirmed": false }, "custom_track": { "name": "burgers_periodic_split", "file": "split_bench.py", "domain": "pde" } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 split_bench.py", "files": [ "split_bench.py", "bench_report.json" ], "limitations": "Only the custom 32-point periodic Burgers one-step regression was tested. No long-horizon rollout metric, learned alpha, multiple resolutions, or zero-padded trained comparison was run; the generic harness did not expose a trained-model aliasing diagnostic.", "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }