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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 9, "verdict": "Implemented Persistent Relational Memory as a persistent per-pair GRU state on a structurally matched custom relational-dynamics track. The full 8-seed paired benchmark significantly favored the idea: test MSE decreased from 0.934598 to 0.014909, paired delta was -0.919690, and the permutation p-value was 0.0081. The trained-model reactivation probe confirmed the predicted mechanism, reducing masked-reactivation MSE from 0.934598 to 0.395199.", "metrics": { "baseline": "Best lr=0.003; full 8-seed test MSE 0.934598 ± 0.080551.", "idea": "Best lr=0.01; full 8-seed test MSE 0.014909 ± 0.002908; all 8 paired seeds improved; delta=-0.919690, p=0.0081.", "mechanism_signature": "Baseline reactivation MSE 0.934598; idea reactivation MSE 0.395199; idea/baseline ratio 0.422854; confirmed=true." }, "bench_report": { "bench_version": 1, "track": "relational_dynamics", "model": "pair_temporal_mlp", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.8927807062864304 }, { "cfg": { "lr": 0.003 }, "mean": 0.8921257555484772 }, { "cfg": { "lr": 0.01 }, "mean": 0.8923652321100235 } ], "full": { "mean": 0.9345984682440758, "std": 0.08055134979477402, "per_seed": [ 0.946091890335083, 0.782263457775116, 0.9252486824989319, 0.9148989915847778, 1.0442157983779907, 1.0487204790115356, 0.8793458342552185, 0.9360026121139526 ], "n": 8 } }, "idea": { "best_cfg": { "lr": 0.01 }, "mean": 0.014908512006513774, "std": 0.0029079161802027706, "per_seed": [ 0.012118596583604813, 0.013483788818120956, 0.01563272811472416, 0.011209259741008282, 0.017514415085315704, 0.015654947608709335, 0.020629476755857468, 0.013024883344769478 ], "n": 8 }, "comparison": { "delta_mean": -0.919689956237562, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -0.9339732937514782, -0.768779668956995, "-0.9122237991541624", "-0.8992662634700537", "-1.0330065386369824", "-1.03120606392622", "-0.8636908866465092", "-0.9153731353580952" ], "p_value": 0.0081, "mde": 0.0719854515760221, "mde_rel_pct": 7.702286492216108, "verdict": "idea better (significant)", "system_worked": true }, "custom_track": { "name": "relational_dynamics", "file": "relational_dynamics_track.py", "domain": "dynamics" }, "idea_config": { "lr": 0.01 }, "math_check": { "inactive_retention_max_abs_error": 0.0, "gru_outputs_finite": true, "retention_exact": true }, "mechanism_signature": { "prediction": "persistent pair state should reduce reactivation error after early evidence is masked", "baseline_reactivation_mse": 0.9345984682440758, "idea_reactivation_mse": 0.3951987475156784, "observed_ratio_idea_over_baseline": 0.4228540501015137, "confirmed": true } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "relational_dynamics_track.py", "bench_report.json" ], "limitations": "The custom track is synthetic and uses six fixed pair slots rather than a scalable GPU hash map over variable-size graphs. It does not test eviction/decay, attention aggregation, larger particle counts, multi-step physical rollout, latency, or equal-parameter/FLOP normalization.", "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 1, "system_judged": true }