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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 7, "verdict": "The registered vision benchmark completed with 8 paired seeds and a tuned baseline sweep. The fractal pooling system achieved mean test error 0.7550 versus 0.83625 for standard MaxPool2d, with paired delta -0.08125 and permutation p=0.0152, meeting the significant-win criterion. The cubic Jacobian sanity check passed, but the trained-network mechanism signature was not quantitatively confirmed.", "metrics": { "baseline": "cnn_small standard MaxPool2d, best lr=0.003: mean error 0.8362499699", "idea": "two-channel fractal pooling CNN, best lr=0.001: mean error 0.7549999803" }, "bench_report": { "bench_version": 1, "track": "vision", "model": "cnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.8724999875 }, { "cfg": { "lr": 0.003 }, "mean": 0.8224999607 }, { "cfg": { "lr": 0.01 }, "mean": 0.8424999863 } ], "full": { "mean": 0.8362499699, "std": 0.0569402166, "per_seed": [ 0.7999999523, 0.8499999642, 0.9099999666, 0.7299999595, 0.8499999642, 0.8999999762, 0.8650000095, 0.7849999666 ], "n": 8 } }, "idea": { "mean": 0.7549999803, "std": 0.0450000026, "per_seed": [ 0.7149999738, 0.8100000024, 0.7899999619, 0.7649999857, 0.7299999595, 0.7349999547, 0.8149999976, 0.6800000072 ], "n": 8 }, "comparison": { "delta_mean": -0.0812499896, "idea_wins": 7, "n_pairs": 8, "per_seed_diffs": [ -0.0849999785, -0.0399999619, -0.1200000048, 0.0350000262, -0.1200000048, -0.1650000215, -0.0500000119, -0.1049999595 ], "p_value": 0.0152, "mde": 0.0517253348, "mde_rel_pct": 6.1853915, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "math_check": { "analytic_jacobian": [ 0.2840064, 0.018753525 ], "finite_difference": [ 0.2840064001, 0.018753525 ], "max_abs_error": 5.137e-11, "cubic_gain_ratio": 0.512 }, "trained_behavior": { "observed_trained_pool_perturbation_gain_mean": 2.37213549, "observed_trained_pool_perturbation_gain_std": 0.50636656, "predicted_lambda_cubic_gain": true, "confirmed": false }, "idea_sweep": [ { "lr": 0.001, "mean": 0.7549999803 }, { "lr": 0.003, "mean": 0.8287499771 }, { "lr": 0.01, "mean": 0.9049999788 } ] } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_run.py", "files": [ "bench_run.py", "bench_report.json" ], "limitations": "Only the registered vision track was tested, using 400 training examples, 200 test examples, and 5 epochs. Larger CIFAR-10 subsets, deeper hierarchical models, parameter matching by width adjustment, Jacobian regularization, active-path scaling, and other tracks were not tested.", "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 0, "system_judged": true }