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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "The Structured-μ-inspired feedback optimizer was evaluated against Adam on the structurally matched registered dynamics/rnn_small track. It slightly reduced mean test MSE, but the paired permutation test was not significant (p=0.722), so the required significant-win criterion was not met. The independently measured trained-model signature confirmed bounded updates, but this is not evidence of a task-metric win.", "metrics": { "baseline": "best lr=0.01; 8-seed mean test MSE=0.00038149026113387663", "idea": "lr=0.01, gain=1.0; 8-seed mean test MSE=0.000362987711923779", "comparison": "delta_mean=-0.00001850254921009764; idea_wins=5/8; permutation p_value=0.722" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json", "run_output2.txt" ], "limitations": "Only the registered built-in dynamics track was tested. The full adaptive state-space controller synthesis, local plant regression, genuine multi-block structured-mu computation, balanced truncation, explicit delay injection, and other benchmark tracks 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 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.0013811723329126835 }, { "cfg": { "lr": 0.003 }, "mean": 0.0009251563169527799 }, { "cfg": { "lr": 0.01 }, "mean": 0.00036846242801402695 } ], "full": { "mean": 0.00038149026113387663, "std": 9.695924201469225e-05, "per_seed": [ 0.00029065465787425637, 0.0005194233381189406, 0.0002394697949057445, 0.00042430192115716636, 0.00026041336241178215, 0.00043081643525511026, 0.0004192772030364722, 0.0004675653763115406 ], "n": 8 } }, "idea": { "mean": 0.000362987711923779, "std": 0.00018628085045551118, "per_seed": [ 0.0005367565318010747, 0.00015218125190585852, 0.00022447205265052617, 0.0007063919911161065, 0.0002451959881000221, 0.0004693289811257273, 0.0004040402709506452, 0.0001655346277402714 ], "n": 8 }, "comparison": { "delta_mean": -1.850254921009764e-05, "idea_wins": 5, "n_pairs": 8, "per_seed_diffs": [ 0.00024610187392681837, -0.0003672420862130821, -1.4997742255218327e-05, 0.00028209006995894015, -1.5217374311760065e-05, 3.851254587061703e-05, -1.52369320826993e-05, -0.0003020307485712692 ], "p_value": 0.722, "mde": 0.00019110756183592025, "mde_rel_pct": 50.09500406849304, "verdict": "no significant win", "system_worked": false }, "idea_sweep": [ { "cfg": { "lr": 0.01, "gain": 0.7 }, "result": { "mean": 0.0004560590477922233, "std": 0.00017467406598413736, "per_seed": [ 0.0005598960560746491, 0.00038755452260375023, 0.00016887560195755213, 0.00043655617628246546, 0.0005898034432902932, 0.0007859530742280185, 0.00037656357744708657, 0.00034326993045397103 ], "n": 8 } }, { "cfg": { "lr": 0.01, "gain": 1.0 }, "result": { "mean": 0.000362987711923779, "std": 0.00018628085045551118, "per_seed": [ 0.0005367565318010747, 0.00015218125190585852, 0.00022447205265052617, 0.0007063919911161065, 0.0002451959881000221, 0.0004693289811257273, 0.0004040402709506452, 0.0001655346277402714 ], "n": 8 } }, { "cfg": { "lr": 0.01, "gain": 1.3 }, "result": { "mean": 0.00038899984156159917, "std": 0.00023570042975433697, "per_seed": [ 0.0007592709152959287, 0.00024126609787344933, 8.598273416282609e-05, 0.00044446770334616303, 0.0003107883094344288, 0.0007692674407735467, 0.00022292471840046346, 0.0002780308132059872 ], "n": 8 } } ], "protocol_note": "Dynamics is a registered built-in track structurally matched to stability/control; baseline and idea use independently trained rnn_small systems and paired seeds.", "mechanism_signature": { "mean_predicted_feedback": 0.6830147407360483, "mean_observed_update_scale": 0.6830147574587944, "last_loss": 0.00041164597678289283, "bounded_fraction": 1.0, "prediction_error": 1.67227461e-08, "confirmed": true } }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }