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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "The registered poisson_boundary benchmark used a tuned baseline sweep and eight paired seeds. The WW count was monotone, but the selected bracket contained two eigenvalues rather than exactly one, and baseline and idea had identical test MSE; paired delta was 0 with p=1.0, so there is no demonstrated win.", "metrics": { "baseline": "mean test MSE 0.0052656280 over 8 seeds; best lr=0.006, epochs=18", "idea": "mean test MSE 0.0052656280 over 8 seeds; paired delta=0.0, permutation p=1.0" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 ww_bench.py", "files": [ "ww_bench.py", "bench_report.json" ], "limitations": "The registered Poisson track does not expose a frequency-dependent dynamic-stiffness operator or eigenmode output, so a genuine WW neural training intervention could not be represented without changing the task. The finite-difference WW check was monotone but its bracket contained two eigenvalues.", "bench_report": { "bench_version": 1, "track": "poisson_boundary", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "epochs": 18 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 18 }, "mean": 0.0726417824625969 }, { "cfg": { "lr": 0.003, "epochs": 18 }, "mean": 0.009967820369638503 }, { "cfg": { "lr": 0.006, "epochs": 18 }, "mean": 0.005826202977914363 } ], "full": { "mean": 0.00526562801678665, "std": 0.0015567716117188132, "per_seed": [ 0.006594715639948845, 0.005673045292496681, 0.003586261300370097, 0.007450789678841829, 0.0025475253351032734, 0.0042539737187325954, 0.00559532456099987, 0.006423388607800007 ], "n": 8 } }, "idea": { "mean": 0.00526562801678665, "std": 0.0015567716117188132, "per_seed": [ 0.006594715639948845, 0.005673045292496681, 0.003586261300370097, 0.007450789678841829, 0.0025475253351032734, 0.0042539737187325954, 0.00559532456099987, 0.006423388607800007 ], "n": 8 }, "comparison": { "delta_mean": 0.0, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], "p_value": 1.0, "mde": 0.0, "mde_rel_pct": 0.0, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "prediction_observation": "trained benchmark test MSEs", "baseline_test_mse": 0.00526562801678665, "idea_test_mse": 0.00526562801678665, "ww_count_monotone": true, "bracket_contains_one": false, "confirmed": false }, "math_check": { "monotone": true, "bracket_width": 0.0015690748583097047, "eigenvalues_in_bracket": 2, "target_mode": 3 }, "custom_track": { "name": "poisson_boundary", "file": "bench/custom_tracks/poisson_boundary.py", "domain": "pde" } }, "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }