# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented certified dual-price routing on the structurally matched router_regime_regression neural MoE benchmark. The best idea setting was significantly worse than the tuned baseline, and the trained-model mechanism signature did not confirm the predicted price/load relationship.", "metrics": { "baseline": "Best lr=0.01, balance_weight=0.0; mean test MSE=0.587452", "idea": "Best lr=0.01, rho=0.001; mean test MSE=0.664206", "comparison": "Paired delta=+0.076754, 0/8 wins, permutation p=0.0081; idea worse (significant)" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json", "run2.txt" ], "limitations": "The experiment used a small synthetic four-expert regression benchmark rather than a full Transformer language-model MoE. Top-2 routing, EMA smoothing, wall-clock latency, FLOPs, and hardware buckets were not tested.", "bench_report": { "bench_version": 1, "track": "router_regime_regression", "model": "custom_routed_experts", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "balance_weight": 0.0 }, "mean": 0.5874520391225815, "sweep_lrs": [ 0.001, 0.003, 0.01 ], "sweep_balance_weights": [ 0.0, 0.01, 0.1 ] }, "idea": { "best_cfg": { "lr": 0.01, "rho": 0.001 }, "mean": 0.6642061397433281, "rho_sweep": [ 0.001, 0.01, 0.1 ] }, "comparison": { "delta_mean": 0.07675410062074661, "idea_wins": 0, "n_pairs": 8, "p_value": 0.0081, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "confirmed": false, "mean_price_excess_correlation": -0.65, "dual_gaps_large": true }, "custom_track": { "name": "router_regime_regression", "file": "bench/custom_tracks/router_regime_regression.py", "domain": "moe-routing" } }, "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }