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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented a custom phase-checkpoint regression track and paired 8-seed MLP benchmark with a baseline sweep and equal-budget anonymous-scheduler settings. Baseline and idea had exactly identical test MSE (0.0228579696), delta_mean=0 and permutation p=1.0, so no neural-training win was observed. The trained-system phase signature was not confirmed.", "metrics": { "baseline": "MSE mean 0.0228579696, std 0.0019890920", "idea": "MSE mean 0.0228579696, std 0.0019890920; delta_mean 0.0; p_value 1.0; verdict no measurable effect" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 phase_blind_bench.py", "files": [ "phase_blind_bench.py", "phase_track.py", "bench_report.json" ], "limitations": "The benchmark simulates checkpoint scheduling rather than real distributed workers, storage I/O, network contention, or wall-clock throughput. The custom task is a proxy because no built-in track structurally represents checkpoint scheduling. The phase trace is a scheduler proxy rather than a genuine trained-model behavioral signature, so confirmed is false.", "bench_report": { "bench_version": 1, "track": "phase_checkpoint_regression", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "weight_decay": 0.001, "epochs": 12, "sigma": 0.05 }, "full": { "mean": 0.022857969626784325, "std": 0.0019890920183647087, "per_seed": [ 0.022877627983689308, 0.02057631127536297, 0.02327309176325798, 0.021263157948851585, 0.0209011472761631, 0.026269573718309402, 0.02207833342254162, 0.025624513626098633 ], "n": 8 }, "sweep_means": [ 0.052177092991769314, 0.05208037327975035, 0.051703399047255516, 0.03177726315334439, 0.03205729741603136, 0.03150508273392916, 0.022574170026928186, 0.022592097986489534, 0.02199754724279046 ] }, "idea": { "selected_cfg": { "lr": 0.01, "weight_decay": 0.001, "epochs": 12, "sigma": 0.05 }, "mean": 0.022857969626784325, "std": 0.0019890920183647087, "per_seed": [ 0.022877627983689308, 0.02057631127536297, 0.02327309176325798, 0.021263157948851585, 0.0209011472761631, 0.026269573718309402, 0.02207833342254162, 0.025624513626098633 ], "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, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "predicted_slope": 1.0, "observed_slope_mean": 0.04611545590999941, "priority_observed_slope_mean": 1.0049859781212493, "observed_gap_drift_mean": 2.667137344314341e-18, "confirmed": false, "custom_track": { "name": "phase_checkpoint_regression", "file": "phase_track.py", "domain": "training-dynamics" } } }, "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }