# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented and benchmarked the Focus-Coefficient Switched Optimizer on the registered dynamics track with the shared rnn_small architecture. The mechanism signature was confirmed from trained-model projected radial drift, but the task-metric improvement was not statistically significant, so the idea did not demonstrate a reliable win.", "metrics": { "baseline": "Best SGD-momentum baseline: mean test MSE 0.00022353084659698652, std 0.00009061581347536935, lr=0.012, momentum=0.9", "idea": "Best switched optimizer: mean test MSE 0.000214986320315802, std 0.00008761713194482366, paired delta=-0.000008544526281184517, 5/8 wins, permutation p=0.17475" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_focus_bench.py", "files": [ "stage2_focus_bench.py", "bench_report.json", "stage2_run.log" ], "limitations": "Only the registered dynamics track was tested, with reduced training and test sizes of 1200 and 400 examples and 12 epochs. The implementation uses a two-dimensional random parameter projection rather than a full normal-form reduction, and does not include bootstrap confidence intervals, explicit annulus filtering, formal hysteresis, FLOP accounting, or wall-clock comparisons.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.012, "momentum": 0.9 }, "sweep": [ { "cfg": { "lr": 0.003, "momentum": 0.8 }, "mean": 0.0007268761837622151 }, { "cfg": { "lr": 0.003, "momentum": 0.9 }, "mean": 0.00030221821725717746 }, { "cfg": { "lr": 0.006, "momentum": 0.8 }, "mean": 0.00032218691558227874 }, { "cfg": { "lr": 0.006, "momentum": 0.9 }, "mean": 0.00023875456099631265 }, { "cfg": { "lr": 0.012, "momentum": 0.8 }, "mean": 0.0002535910825827159 }, { "cfg": { "lr": 0.012, "momentum": 0.9 }, "mean": 0.00020586683422152419 } ], "full": { "mean": 0.00022353084659698652, "std": 9.061581347536935e-05, "per_seed": [ 0.00010926207323791459, 0.00024170543474610895, 0.0001626280864002183, 0.0003098717425018549, 0.0001496187032898888, 0.00020368325931485742, 0.0004100580408703536, 0.00020141943241469562 ], "n": 8 }, "parity_grid": [ { "lr": 0.003, "momentum": 0.8 }, { "lr": 0.003, "momentum": 0.9 }, { "lr": 0.006, "momentum": 0.8 }, { "lr": 0.006, "momentum": 0.9 }, { "lr": 0.012, "momentum": 0.8 }, { "lr": 0.012, "momentum": 0.9 } ] }, "idea": { "mean": 0.000214986320315802, "std": 8.761713194482366e-05, "per_seed": [ 0.00010610528261167929, 0.00024355029745493084, 0.00016700058768037707, 0.0002708751999307424, 0.0001304265606449917, 0.0002128796768374741, 0.000402944308007136, 0.00018610864935908467 ], "n": 8 }, "comparison": { "delta_mean": -8.544526281184517e-06, "idea_wins": 5, "n_pairs": 8, "per_seed_diffs": [ -3.1567906262353063e-06, 1.8448627088218927e-06, 4.372501280158758e-06, -3.8996542571112514e-05, -1.91921426448971e-05, 9.196417522616684e-06, -7.113732863217592e-06, -1.5310783055610955e-05 ], "p_value": 0.17475, "mde": 1.305763742401076e-05, "mde_rel_pct": 5.841537140309294, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "track_match": "stability/control -> dynamics", "idea_sweep": [ { "cfg": { "lr": 0.003, "momentum": 0.8, "branch_ratio": 2.0 }, "mean": 0.0006308200972853228 }, { "cfg": { "lr": 0.006, "momentum": 0.8, "branch_ratio": 2.0 }, "mean": 0.00030224852162064053 }, { "cfg": { "lr": 0.012, "momentum": 0.9, "branch_ratio": 2.0 }, "mean": 0.0001968828419194324 } ], "best_idea_cfg": { "lr": 0.012, "momentum": 0.9, "branch_ratio": 2.0 }, "predicted_branch": 0, "predicted_drift": [ 10.384744470593654, 20.779192115849302 ], "observed_selected_fraction_branch0": 0.65, "confirmed": true, "definition": "NN-scale projected parameter radial drift; lower predicted drift branch should be selected", "n_probe_updates": 120 } }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }