# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented the spectral cross-block averaging layer in a matched transformer_tiny sequence forecaster. The trained-model signature confirmed reduced centered hidden token variance (observed ratio 0.2717), but test MSE worsened from 0.37819 to 0.38762; paired delta was +0.00943 with p=0.42355, so there is no benchmark win.", "metrics": { "baseline": "8-seed test MSE mean 0.378189642, std 0.043926741; tuned lr=0.003, weight_decay=0.0.", "idea": "8-seed test MSE mean 0.387623385, std 0.052765716; paired delta +0.009433743, 2/8 wins, permutation p=0.42355." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_spectral_bench.py", "files": [ "stage2_spectral_bench.py", "bench_report.json", "spectral_cross_block.py", "results.json" ], "limitations": "Only the registered sequence track was tested, with 400 training examples, 200 test examples, 10 epochs, and four spectral blocks. No graph/Cora, vision, dense-attention runtime, memory, refresh-frequency, or multi-k comparison was run.", "bench_report": { "bench_version": 1, "track": "sequence", "model": "transformer_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.46128974109888077 }, { "cfg": { "lr": 0.001, "epochs": 10, "batch": 64, "weight_decay": 0.0001 }, "mean": 0.4610334187746048 }, { "cfg": { "lr": 0.003, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.3823479115962982 }, { "cfg": { "lr": 0.003, "epochs": 10, "batch": 64, "weight_decay": 0.0001 }, "mean": 0.3841596320271492 }, { "cfg": { "lr": 0.006, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.417671263217926 }, { "cfg": { "lr": 0.006, "epochs": 10, "batch": 64, "weight_decay": 0.0001 }, "mean": 0.4183000549674034 } ], "full": { "mean": 0.37818964198231697, "std": 0.04392674078479323, "per_seed": [ 0.4098062813282013, 0.3727002739906311, 0.35934698581695557, 0.3875381052494049, 0.44879525899887085, 0.32238227128982544, 0.41429436206817627, 0.31065359711647034 ], "n": 8 } }, "idea": { "best_cfg": { "lr": 0.003, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.46333927661180496 }, { "cfg": { "lr": 0.003, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.39577537775039673 }, { "cfg": { "lr": 0.006, "epochs": 10, "batch": 64, "weight_decay": 0.0 }, "mean": 0.5193086043000221 } ], "mean": 0.3876233845949173, "std": 0.05276571602392504, "per_seed": [ 0.3614949584007263, 0.41287001967430115, 0.4114724397659302, 0.3972640931606293, 0.4688884913921356, 0.2921375036239624, 0.42534109950065613, 0.3315184712409973 ], "n": 8 }, "comparison": { "delta_mean": 0.009433742612600327, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ -0.048311322927474976, 0.040169745683670044, 0.05212545394897461, 0.009725987911224365, 0.02009323239326477, -0.030244767665863037, 0.011046737432479858, 0.020864874124526978 ], "p_value": 0.42355, "mde": 0.028131046789220567, "mde_rel_pct": 7.438344065101575, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "raw_centered_token_variance": 1.190417766571045, "observed_hidden_centered_token_variance": 0.32343757152557373, "observed_ratio": 0.27170089409638426, "block_count": 4, "prediction": "block averaging should reduce within-example token variation", "confirmed": true } }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }