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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Built an end-to-end doubled-angle orientation pooling system and a local structurally matched unoriented-line classification track. The idea reduced mean test error from 0.1625 to 0.105625 in the reported paired run, but the paired delta was not significant (p=0.54375), so there is no validated benchmark win. The trained-model mechanism signature also failed the chosen quantitative tolerances, despite q remaining relatively invariant.", "metrics": { "baseline": "Best scalar-mean system: full 8-seed mean error 0.1625 (the displayed report was truncated; baseline best cfg lr=0.003, weight_decay=0.0).", "idea": "Best doubled-angle system: 8-seed mean error 0.1056249989, cfg lr=0.003, weight_decay=0.0; paired delta=-0.0568749933, 4/8 wins, permutation p=0.54375; mechanism signature confirmed=false." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_orientation_bench.py", "files": [ "stage2_orientation_bench.py", "custom_orientation_lines.py", "bench_report.json" ], "limitations": "The custom task is a small synthetic line-image classification benchmark, not natural-image CIFAR training. The benchmark used 400 training and 200 test samples for 8 epochs; no FLOP or wall-clock comparison was performed. The fixed Sobel bank and image discretization introduce boundary/rotation interpolation effects, which likely contributed to the failed strict equivariance signature. The baseline sweep used the harness's four-seed selection protocol followed by eight-seed final evaluation; the idea grid was evaluated on eight seeds for each configuration.", "bench_report": { "bench_version": 1, "track": "oriented_line_quotient", "model": "cnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003, "weight_decay": 0.0 }, "full": { "mean": 0.1624999947, "per_seed": [ 0.05, 0.24, 0.07, 0.01, 0.24, 0.16, 0.94, 0.0 ], "n": 8 } }, "idea": { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.1056249989, "per_seed": [ 0.09, 0.08, 0.155, 0.08, 0.19, 0.07, 0.14, 0.04 ], "n": 8 }, "comparison": { "delta_mean": -0.0568749933, "idea_wins": 4, "n_pairs": 8, "p_value": 0.54375, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "observed": { "pi_rotation_mean_pool_error": 0.0953516588, "q_pi_rotation_error": 0.007520223, "90deg_relation_abs_error": 0.2304151803 }, "confirmed": false }, "custom_track": { "name": "oriented_line_quotient", "file": "custom_orientation_lines.py", "domain": "vision_orientation" } }, "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }