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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented pipelined bounded-staleness partition-gradient aggregation on the structurally matched tabular Friedman regression track using the shared mlp_tiny architecture. Across 8 paired seeds, the idea was significantly worse than the tuned synchronous baseline: MSE increased from 8.9425 to 8.9952, with paired delta +0.0527 and permutation p=0.0081. The trained-model mechanism signature was confirmed, but it did not produce a task-metric win.", "metrics": { "baseline": "Synchronous mlp_tiny partition-gradient SGD, best lr=0.003; full 8-seed test MSE mean 8.9425389767, std 1.2011059504.", "idea": "Bounded-staleness aggregation, best lr=0.003, c=2; full 8-seed test MSE mean 8.9952296615, std 1.2122424603; paired delta +0.0526906848; permutation p=0.0081; idea wins 0/8." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 run_bench.py", "files": [ "run_bench.py" ], "limitations": "The fixed tabular benchmark does not measure actual distributed wall-clock speed, worker utilization, replica failures, or gradient FLOPs. The implementation emulates bounded staleness with historical model snapshots and full partition gradients rather than launching asynchronous workers. Only c=2 was evaluated; c=4 and c=8 were not tested.", "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": 0.003 }, "mean": 8.571802377700806 }, { "cfg": { "lr": 0.01 }, "mean": 20.563005447387695 }, { "cfg": { "lr": 0.03 }, "mean": 20.28245759010315 } ], "full": { "mean": 8.942538976669312, "std": 1.2011059504420323, "per_seed": [ 8.109341621398926, 9.679099082946777, 8.425871849060059, 8.072896957397461, 6.844796180725098, 9.526346206665039, 10.597946166992188, 10.284013748168945 ], "n": 8 } }, "idea": { "best_cfg": { "lr": 0.003, "c": 2 }, "trials": [ { "cfg": { "lr": 0.003, "c": 2 }, "mean": 8.995229661464691 }, { "cfg": { "lr": 0.03, "c": 2 }, "mean": 24.871363401412964 } ], "full": { "mean": 8.995229661464691, "std": 1.2122424602688344, "per_seed": [ 8.160211563110352, 9.738099098205566, 8.477083206176758, 8.129450798034668, 6.85977029876709, 9.593474388122559, 10.62648868560791, 10.377259254455566 ], "n": 8 } }, "comparison": { "delta_mean": 0.05269068479537964, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 0.05086994171142578, 0.05900001525878906, 0.05121135711669922, 0.05655384063720703, 0.014974117279052734, 0.06712818145751953, 0.028542518615722656, 0.0932455062866211 ], "p_value": 0.0081, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "predicted": 0.06620380758814955, "observed": 0.008275476713068709, "observed_over_predicted": 0.12500001282535644, "mean_gradient_cosine": 0.9849408324128792, "mean_parameter_displacement_sq": 1.4717475092518306e-06, "mean_age": 0.4951171875, "max_age": 1, "confirmed": true } }, "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }