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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented Identity-Paired Progressive Depth as an additive diagonal coupling block followed by its analytically computed inverse, inserted into the matched built-in sequence transformer. Across 8 paired seeds, the idea had higher test MSE than the tuned baseline (0.5841716528 vs 0.5621015988), with paired delta +0.0220700540 and permutation p=0.5933, so there is no task-metric win. The trained-model mechanism signature was quantitatively confirmed: insertion output change was 1.729e-8 relative and the untied perturbation slope was approximately 1.0, but this did not improve learning.", "metrics": { "baseline": "transformer_tiny on built-in sequence track; best lr=0.0015, weight_decay=0.0; full 8-seed MSE mean=0.562101598829031, std=0.08060035643973527.", "idea": "Matched transformer with identity-paired diagonal additive coupling; shared lr grid [0.0015, 0.003, 0.006], best reported 8-seed MSE mean=0.5841716527938843, std=0.05076107251588834.", "paired_delta": "idea - baseline = +0.022070053964853287 MSE; idea wins 3/8 pairs.", "permutation_p_value": 0.5933, "mechanism_signature": { "confirmed": true, "mean_insertion_relative_output_change": 1.7291444720513027e-08, "mean_trained_pair_residual": 0.028601060970686376, "trained_untied_loglog_slope": "approximately 1.0" } }, "bench_report": { "bench_version": 1, "track": "sequence", "model": "transformer_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "mean": 0.5785842016339302 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.6899479925632477 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 0.8105297237634659 } ], "full": { "mean": 0.562101598829031, "std": 0.08060035643973527, "per_seed": [ 0.6448022127151489, 0.4093892276287079, 0.5553309321403503, 0.7048144340515137, 0.5405545234680176, 0.5604735016822815, 0.5436524748802185, 0.5377954840660095 ], "n": 8 } }, "idea": { "best_cfg": "selected from the same shared lr grid; reported full result", "mean": 0.5841716527938843, "std": 0.05076107251588834, "per_seed": [ 0.6083592772483826, 0.5841273665428162, 0.6231781840324402, 0.5197466015815735, 0.6223173141479492, 0.5627732872962952, 0.654932975769043, 0.49793821573257446 ], "n": 8 }, "comparison": { "delta_mean": 0.022070053964853287, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ -0.03644293546676636, 0.17473813891410828, 0.06784725189208984, -0.18506783246994019, 0.08176279067993164, 0.002299785614013672, 0.11128050088882446, -0.03985726833343506 ], "p_value": 0.5933, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "identity insertion and O(eta) untied response", "confirmed": true, "mean_insertion_relative_output_change": 1.7291444720513027e-08, "mean_trained_pair_residual": 0.028601060970686376 } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_identity_paired.py", "files": [ "bench_identity_paired.py", "bench_report.json", "bench_run.log" ], "limitations": "Only the built-in sequence track, transformer_tiny model, one expansion pair, 8 epochs, 400 training samples, 200 test samples, and the three-point lr/weight-decay sweep were tested. No CIFAR, dynamics, larger transformers, multiple progressive expansion stages, FLOP-normalized timing, or rollback/acceptance schedule was evaluated.", "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }