# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "The pole-radius DIGing variant was implemented and evaluated on the registered tabular Friedman regression track with the shared mlp_tiny architecture, four-worker ring communication, an equal learning-rate grid, and 8 paired seeds. The baseline mean test MSE was 22.9948 versus 209.8789 for the idea; paired delta was +186.8841 with permutation p=0.0081 and zero idea wins, so the idea was significantly worse. The trained-model mechanism signature was not confirmed because the predicted pole radius (0.5111) did not match the observed tracker-disagreement ratio (0.9516).", "metrics": { "baseline": "best lr=0.003; full mean test MSE=22.994831800460815; std=11.385712752026535", "idea": "pole-radius tuning selected alpha=0.001; full mean test MSE=209.8788948059082; std=12.027703233030866" }, "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 210.5964012145996 }, { "cfg": { "lr": 0.003 }, "mean": 19.421141624450684 }, { "cfg": { "lr": 0.01 }, "mean": 89.58010625839233 } ], "full": { "mean": 22.994831800460815, "std": 11.385712752026535, "per_seed": [ 27.76300621032715, 13.660076141357422, 19.283185958862305, 16.97829818725586, 17.96718406677246, 18.604217529296875, 18.24533462524414, 51.45735168457031 ], "n": 8 } }, "idea": { "mean": 209.8788948059082, "std": 12.027703233030866, "per_seed": [ 225.73562622070312, 209.03338623046875, 215.49949645996094, 192.11709594726562, 217.17715454101562, 194.1483612060547, 201.66188049316406, 223.6581573486328 ], "n": 8 }, "comparison": { "delta_mean": 186.8840630054474, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 197.97262001037598, 195.37331008911133, 196.21631050109863, 175.13879776000977, 199.20997047424316, 175.5441436767578, 183.41654586791992, 172.2008056640625 ], "p_value": 0.0081, "mde": 9.628530681945449, "mde_rel_pct": 41.872585829275316, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "track_structure": "optimizer/decentralized regression", "alpha": 0.001, "mu_est": 0.249891459941864, "L_est": 0.249891459941864, "predicted_pole_radius": 0.5110536651589729, "observed_tracker_disagreement_ratio": 0.9515644814489328, "confirmed": false, "pole_spectrum": [ -2.1467203015212988e-16, 0.5, 0.5000000000000001 ], "idea_grid": [ { "lr": 0.001 }, { "lr": 0.003 }, { "lr": 0.01 } ], "selected_idea_cfg": { "lr": 0.001 }, "candidate_full_means": { "0.001": 209.8788948059082, "0.003": 209.8788948059082, "0.01": 209.8788948059082 } } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "Only the registered tabular/Friedman track was tested, using a four-worker ring and 24 training epochs. Larger graphs, expander communication, curvature power iteration, backtracking, centralized SGD, communication/FLOP accounting, and the other built-in tracks were not tested.", "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }