Neighborhood-separator attention / report_bench_2026-09-04T180814.md

Failed on benchmark

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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented neighborhood-separator attention as a graph-masked modification of transformer_tiny on the structurally matched sequence track. Across 8 paired seeds, baseline test MSE was 0.263520 and idea test MSE was 0.263567, giving delta_mean +0.0000467 and permutation p=0.25605; this is no measurable effect, not a win. The trained-model mechanism signature was not confirmed because observed allowed fraction was 1.0 and no residual components were produced.", "metrics": { "baseline": "best lr=0.001; 8-seed test MSE 0.2635204885", "idea": "best lr=0.001; 8-seed test MSE 0.2635671869; paired delta +0.0000466984; p=0.25605; 1/8 paired wins" }, "bench_report": { "bench_version": 1, "track": "sequence", "model": "transformer_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.001 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.2537162751 }, { "cfg": { "lr": 0.003 }, "mean": 0.2935705632 }, { "cfg": { "lr": 0.006 }, "mean": 0.3902993053 } ], "full": { "mean": 0.2635204885, "std": 0.0298149067, "n": 8, "per_seed": [ 0.2898883224, 0.2380919755, 0.2186338007, 0.2682510018, 0.2573082745, 0.2655155361, 0.3222951293, 0.2481798679 ] } }, "idea": { "selected_cfg": { "lr": 0.001 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.2635671869 }, { "cfg": { "lr": 0.003 }, "mean": 0.3072085138 }, { "cfg": { "lr": 0.006 }, "mean": 0.4231664315 } ], "full": { "mean": 0.2635671869, "std": 0.0298728326, "n": 8, "per_seed": [ 0.2901400328, 0.2380919755, 0.2186338007, 0.2682510018, 0.2573083043, 0.2655155361, 0.322416991, 0.248179853 ] } }, "comparison": { "delta_mean": 4.66984e-05, "idea_wins": 1, "n_pairs": 8, "p_value": 0.25605, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "predicted": { "sparse_allowed_fraction": "<1.0", "anti_adjacent_components": true }, "observed_mean_allowed_fraction": 1.0, "observed_mean_components": 0.0, "observed_mean_separator_size": 2.0, "confirmed": false }, "structural_check": { "separator_size": 2, "components": [ 1, 1, 1, 1 ], "anti_adjacent_components": true, "mask_formula_exact": true } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the built-in sequence forecast track was tested; no long-range-copy task, wall-clock sparse-kernel speed, KV-cache memory, refresh-frequency ablation, or exact induced-minor/theta detector was evaluated.", "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }