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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented and ran the probe-then-partitioned multi-task trunk on the registered correlated_multitask_regression track, which directly contains six regression tasks with latent task groups. The full paired result is not a significant win: baseline mean MSE 0.3879648 versus idea mean MSE 0.3980455, paired delta +0.0100807 and permutation p=0.54355. The trained-model mechanism signature was also not confirmed because negative-gradient conflict rates were identical at 0.2667.", "metrics": { "baseline": "Best lr=0.003; 8-seed mean MSE 0.3879647814; sweep means lr=0.001: 0.4304336409, lr=0.003: 0.4079873463, lr=0.01: 0.4151849548.", "idea": "Selected lr=0.003 from the same three-value union; 8-seed mean MSE 0.3980454989; paired delta +0.0100807175; 3/8 wins; permutation p=0.54355." }, "bench_report": { "bench_version": 1, "track": "correlated_multitask_regression", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.4304336408774058 }, { "cfg": { "lr": 0.003 }, "mean": 0.4079873462518056 }, { "cfg": { "lr": 0.01 }, "mean": 0.41518495480219525 } ], "full": { "mean": 0.38796478137373924, "std": 0.031118597630805808, "per_seed": [ 0.3507640063762665, 0.3547458350658417, 0.3831292986869812, 0.3947278559207916, 0.43335363268852234, 0.38597869873046875, 0.43800339102745056, 0.3630155324935913 ], "n": 8 } }, "idea": { "mean": 0.39804549887776375, "std": 0.018242689312241732, "per_seed": [ 0.39564016461372375, 0.43557506799697876, 0.39274677634239197, 0.3693575859069824, 0.4083901047706604, 0.39621248841285706, 0.38226383924484253, 0.4041779637336731 ], "n": 8 }, "comparison": { "delta_mean": 0.010080717504024506, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ 0.044876158237457275, 0.08082923293113708, 0.009617477655410767, -0.025370270013809204, -0.02496352791786194, 0.010233789682388306, -0.05573955178260803, 0.04116243124008179 ], "p_value": 0.54355, "mde": 0.037393353165640304, "mde_rel_pct": 9.638337024622361, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "track_rationale": "multi-task regression with six task heads and latent task groups; custom track is structurally matched", "idea_grid": { "0.001": { "mean": 0.4304336408774058, "std": 0.021430113433642317, "per_seed": [ 0.4190196692943573, 0.460454523563385, 0.4118267297744751 ], "n": 3 }, "0.003": { "mean": 0.4079873363176982, "std": 0.01954320219971055, "per_seed": [ 0.39564016461372375, 0.43557506799697815, 0.39274677634239197 ], "n": 3 }, "0.01": { "mean": 0.41518494486808777, "std": 0.01594100724609616, "per_seed": [ 0.40816590189933777, 0.43724772334098816, 0.4001412093639374 ], "n": 3 } }, "selected_idea_lr": 0.003, "probe_epochs": 4, "groups_seed0": [ 0, 0, 0, 0, 0, 0 ], "mechanism_signature": { "predicted": "partitioning reduces negative cross-task gradient cosine", "baseline_conflict_rate": 0.26666666666666666, "idea_conflict_rate": 0.26666666666666666, "observed_reduction": 0.0, "confirmed": false } }, "parameter_note": "Partitioned trunks replicate the trunk per discovered cluster; heads remain separate. Equal optimizer/data/epoch budget, but inference parameter count can differ." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_run.py", "files": [ "bench_run.py", "bench_report.json" ], "limitations": "The matched benchmark used the registered custom multi-task track and preserved its six-output structure by loading the accepted track module directly, because bench.get_dataset reshaped custom regression targets to one column. The intervention used a lightweight mutual-reachability MST cut rather than HDBSCAN. Parameter and inference-cost equality was not enforced because discovered cluster trunks can replicate parameters; data, epochs, batch size, optimizer, and the learning-rate search union were matched. No larger real-world multi-task dataset or singleton reassignment validation was tested.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }