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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented spectral basin allocation as a training-time composite-Laplacian penalty on phase coordinates of the shared rnn_small GRU, using the structurally matched dynamics track. The mechanism signature was confirmed on trained models: spectral rate increased from 0.37245 to 0.54203 and adjacent phase gap decreased from 0.27065 to 0.09760. However, test MSE worsened from 0.0034843 to 0.0035548, with paired delta +0.0000705 and permutation p=0.1228; therefore the idea did not produce a significant task-metric win.", "metrics": { "baseline": "best cfg lr=0.006, weight_decay=0.0001, epochs=10; full 8-seed test MSE mean=0.0034843027, std=0.0013417531", "idea": "best cfg lr=0.006, weight_decay=0.0, lam=0.02, epochs=10; full 8-seed test MSE mean=0.0035548201, std=0.0012805769", "paired_delta": "idea-baseline = +0.0000705174 MSE; idea wins 1/8 seeds; permutation p=0.1228", "mechanism_signature": "trained-model baseline rate=0.3724495, phase_gap=0.2706524; idea rate=0.5420256, phase_gap=0.0975972; confirmed=true" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0001, "epochs": 10 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0, "epochs": 10 }, "mean": 0.0220816971 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001, "epochs": 10 }, "mean": 0.0219710653 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0, "epochs": 10 }, "mean": 0.0036966768 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001, "epochs": 10 }, "mean": 0.0036578036 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0, "epochs": 10 }, "mean": 0.0028201772 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0001, "epochs": 10 }, "mean": 0.0027613395 } ], "full_mean": 0.0034843027 }, "idea": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0, "epochs": 10, "lam": 0.02 }, "full_mean": 0.0035548201 }, "comparison": { "delta_mean": 7.05174e-05, "idea_wins": 1, "n_pairs": 8, "p_value": 0.1228, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "confirmed": true, "rate_change": 0.1695761, "phase_gap_change": -0.1730552 } }, "limitations": "Only the built-in dynamics track was tested; no custom multimodal associative-memory dataset or direct learned multi-attractor memory task was added. The benchmark uses 400 training and 400 test examples and 10 epochs, and the hidden-state phase embedding is a proxy rather than a full learned delayed-Kuramoto memory with explicit basin-volume estimation.", "system_verdict": "partial", "practical_verdict": "no_effect", "mechanism_ok": 1, "system_judged": true }