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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "Implemented blockwise stochastic proximal-gradient updates followed by Krasnoselskii relaxation using matched rnn_small systems on the registered dynamics track. Adam achieved mean test loss 1.3684802866009704e-05 versus 0.0005339367999113165 for the idea; paired delta_mean was +0.0005202519970453068 with permutation p=0.0081, so the idea lost significantly.", "metrics": { "baseline": "Adam best lr=0.006; 8-seed mean test loss 1.3684802866009704e-05.", "idea": "Proximal relaxation best lr=0.006, alpha=0.75; 8-seed mean test loss 0.0005339367999113165; delta_mean=0.0005202519970453068; p=0.0081." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "Only the registered dynamics track was tested. The adaptive minibatch controller, exact proximal subproblem, Lyapunov certificate, FLOP-matched study, and multi-alpha trained-model scaling test were not run.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.0002686133266252 }, { "cfg": { "lr": 0.003 }, "mean": 2.2429956516134553e-05 }, { "cfg": { "lr": 0.006 }, "mean": 1.2719097412627889e-05 } ], "full": { "mean": 1.3684802866009704e-05, "std": 2.4297331089709535e-06, "per_seed": [ 1.0965275578200817e-05, 1.3063688129477669e-05, 1.363205592497252e-05, 1.3215370017860554e-05, 1.694267484708689e-05, 1.7903313073919326e-05, 1.3341849808057304e-05, 1.0414194548502564e-05 ], "n": 8 } }, "idea": { "mean": 0.0005339367999113165, "std": 0.0003344099304737304, "per_seed": [ 0.00038349704118445516, 0.0002837758220266551, 0.00047679623821750283, 0.000840833701658994, 0.00030266467365436256, 0.00031309283804148436, 0.0012979843886569142, 0.0003728496958501637 ], "n": 8, "chosen_cfg": { "lr": 0.006, "alpha": 0.75 }, "sweep": [ { "cfg": { "lr": 0.001, "alpha": 0.25 }, "mean": 0.5652050226926804 }, { "cfg": { "lr": 0.003, "alpha": 0.5 }, "mean": 0.05728436540812254 }, { "cfg": { "lr": 0.006, "alpha": 0.75 }, "mean": 0.0004962257007719018 } ] }, "comparison": { "delta_mean": 0.0005202519970453068, "idea_wins": 0, "n_pairs": 8, "p_value": 0.0081, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "prediction": "relaxation damps stochastic block-response updates approximately linearly in alpha", "predicted_alpha": 0.75, "observed_update_rms_mean": 0.0026733302263543613, "observed_update_std_mean": 0.0019501892436788798, "confirmed": false }, "custom_track": null }, "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }