Coverage-Controlled Adaptive Time Sampling / report_bench_2026-09-02T011711.md

✓✓ Beats tuned baseline

Raw ⬇ ZIP

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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 7, "verdict": "Implemented coverage-controlled adaptive temporal resampling on the structurally matched dynamics track using separate end-to-end trained rnn_small systems. Across 8 paired seeds, adaptive resampling reduced test MSE from 0.0021058194 to 0.0018193617, with delta_mean=-0.0002864578 and permutation p=0.0224, meeting the benchmark's significant-win criterion. The mechanism signature was not confirmed quantitatively because the fixed-gap prediction was not calibrated against trained-model residuals.", "metrics": { "baseline": "rnn_small, lr=0.006, 12 epochs: mean test MSE 0.0021058194, std 0.0003894366", "idea": "CoverageResampler + rnn_small, lr=0.006, 12 epochs: mean test MSE 0.0018193617, std 0.0003773601; 7/8 paired wins; delta=-0.0002864578; p=0.0224" }, "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "epochs": 12 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 12 }, "mean": 0.0042987791 }, { "cfg": { "lr": 0.003, "epochs": 12 }, "mean": 0.0034615941 }, { "cfg": { "lr": 0.006, "epochs": 12 }, "mean": 0.0018282316 } ], "full": { "mean": 0.0021058194, "std": 0.0003894366, "per_seed": [ 0.002004395, 0.0014378825, 0.0015748648, 0.002295784, 0.0024020642, 0.0024898043, 0.0020851335, 0.0025566272 ], "n": 8 } }, "idea": { "mean": 0.0018193617, "std": 0.0003773601, "per_seed": [ 0.001798678, 0.0012207204, 0.0014683872, 0.001667754, 0.0024448649, 0.0022304705, 0.0020495402, 0.0016744781 ], "n": 8 }, "comparison": { "delta_mean": -0.0002864578, "idea_wins": 7, "n_pairs": 8, "per_seed_diffs": [ -0.000205717, -0.0002171622, -0.0001064776, -0.0006280299, 4.28008e-05, -0.0002593338, -3.55933e-05, -0.0008821491 ], "p_value": 0.0224, "mde": 0.000262008, "mde_rel_pct": 12.4421, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "q": 0.03, "Gamma": 2.0, "epsilon": 0.13, "predicted_uniform_radius": 0.1728571429, "observed_proxy_radius_mean": 0.18174766, "observed_proxy_radius_std": 0.02882220596, "predicted_vs_observed_correlation": null, "controller_refines_when_bound_exceeds_epsilon": true, "confirmed": false } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 adaptive_sampling_bench.py", "files": [ "adaptive_sampling_bench.py", "bench_report.json" ], "limitations": "Only the built-in actuated-pendulum dynamics track was tested. No wall-clock or function-evaluation reduction benchmark was performed, and q/Gamma were fixed proxies rather than conformally calibrated estimates; the mechanism signature therefore remains unconfirmed.", "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 0, "system_judged": true }