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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Warm-started exact paired rank pruning was implemented and evaluated on the registered tabular Friedman regression track with the shared factorized mlp_tiny system. The tuned baseline achieved MSE 7.14342, while the best idea achieved 7.22056; paired delta_mean was +0.07714 with permutation p=0.62745, hence no significant win. The mechanism signature confirmed monotone rank behavior and near-zero balancing gaps, but no columns were pruned at the tested lambda values.", "metrics": { "baseline": "Best cfg {lr: 0.006, weight_decay: 0.0001}; full 8-seed MSE 7.1434198618 ± 0.2740066216.", "idea": "Best full 8-seed MSE 7.2205554843 ± 0.3491257387; paired delta +0.0771356225, 2/8 wins, p=0.62745; active rank remained 43 at all stages and pruned_columns=0 for every seed." }, "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "mean": 12.669130086898804 }, { "cfg": { "lr": 0.0015, "weight_decay": 0.0001 }, "mean": 12.924439191818237 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 9.31087851524353 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 9.370193243026733 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 7.018180251121521 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0001 }, "mean": 6.9977627992630005 } ], "full": { "mean": 7.143419861793518, "std": 0.27400662160821115, "per_seed": [ 6.931591987609863, 6.811943054199219, 7.096949577331543, 7.150566577911377, 6.830760955810547, 7.50044059753418, 7.220727920532227, 7.6043782234191895 ], "n": 8 } }, "idea": { "mean": 7.220555484294891, "std": 0.34912573865429086, "per_seed": [ 6.893190860748291, 7.041308879852295, 7.491337776184082, 7.315980434417725, 6.935866355895996, 7.914798259735107, 7.363597869873047, 6.808363437652588 ], "n": 8 }, "comparison": { "delta_mean": 0.07713562250137329, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ -0.038401126861572266, 0.22936582565307617, 0.39438819885253906, 0.16541385650634766, 0.10510540008544922, 0.4143576622009277, 0.1428699493408203, -0.7960147857666016 ], "p_value": 0.62745, "mde": 0.3201464002239144, "mde_rel_pct": 4.4816965321639985, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "warm-started exact paired pruning should produce nonincreasing active rank and balanced factor norms", "predicted_monotone_rank": true, "predicted_balanced_gap": 0.0, "confirmed": true, "observed_summary": "All eight seeds had ranks [43,43,43,43], observed_monotone=true, pruned_columns=0, and mean balancing gaps approximately 5.3e-8." } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json", "run_output.json" ], "limitations": "Only the registered tabular track was tested; vision, sequence, dynamics, and custom tracks were not tested. The lambda grid was too weak to trigger actual pruning, so automatic neural-network rank reduction was not demonstrated.", "system_verdict": "partial", "practical_verdict": "no_effect", "mechanism_ok": 1, "system_judged": true }