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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented finite-excitation MGS memory as an optimizer-side correction to the final linear head of the registered tabular mlp_tiny benchmark. The idea modestly improved test MSE from 21.8103 to 21.5959, but the paired permutation test gave p=0.09385, so it did not meet the required significant-win criterion. The trained-model mechanism signature was also not confirmed: observed Gram diagnostics were inconsistent with the identity prediction.",
  "metrics": {
    "baseline": "Tuned Adam baseline, lr=0.003, weight_decay=0: mean test MSE 21.810271620750427, std 6.031322024802775, 8 paired seeds.",
    "idea": "MGS memory, lr=0.003, lambda=0.1: mean test MSE 21.595937252044678, std 5.868687330662625, 8 paired seeds; paired delta -0.2143343687057495, six wins, p=0.09385."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003,
        "weight_decay": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0
          },
          "mean": 188.35083389282227
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0
          },
          "mean": 19.947585344314575
        },
        {
          "cfg": {
            "lr": 0.006,
            "weight_decay": 0.0
          },
          "mean": 22.523260593414307
        }
      ],
      "full": {
        "mean": 21.810271620750427,
        "std": 6.031322024802775,
        "per_seed": [
          17.455322265625,
          15.50521183013916,
          29.37735366821289,
          17.45245361328125,
          33.27134323120117,
          16.96589469909668,
          22.887645721435547,
          21.56694793701172
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 21.595937252044678,
      "std": 5.868687330662625,
      "per_seed": [
        17.42387580871582,
        15.323787689208984,
        28.447860717773438,
        17.114221572875977,
        32.90999221801758,
        16.928159713745117,
        22.993961334228516,
        21.625638961791992
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.2143343687057495,
      "idea_wins": 6,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.03144645690917969,
        -0.18142414093017578,
        -0.9294929504394531,
        -0.33823204040527344,
        -0.36135101318359375,
        -0.0377349853515625,
        0.10631561279296875,
        0.05869102478027344
      ],
      "p_value": 0.09385,
      "mde": 0.2811647999151475,
      "mde_rel_pct": 1.2891393780151073,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "prediction": {
        "feature_dim": 64,
        "observed_rank_last": 64,
        "predicted_identity_max_eigen_mean": 1.8750072717666626,
        "observed_QtQ_error_max": 1.0,
        "prediction": "MGS memory predicts identity Gramian after d independent directions",
        "confirmed": false
      },
      "idea_configs": [
        {
          "cfg": {
            "lr": 0.003,
            "lambda": 0.02
          },
          "result": {
            "mean": 21.754212260246277,
            "std": 5.9932442203746445,
            "per_seed": [
              17.445890426635742,
              15.479540824890137,
              29.154930114746094,
              17.36090087890625,
              33.19727325439453,
              16.9453067779541,
              22.87087631225586,
              21.5789794921875
            ],
            "n": 8
          }
        },
        {
          "cfg": {
            "lr": 0.003,
            "lambda": 0.05
          },
          "result": {
            "mean": 21.67228603363037,
            "std": 5.945718685399587,
            "per_seed": [
              17.41834259033203,
              15.36572265625,
              28.8680419921875,
              17.256317138671875,
              33.06776428222656,
              16.93799591064453,
              22.85132598876953,
              21.612777709960938
            ],
            "n": 8
          }
        },
        {
          "cfg": {
            "lr": 0.003,
            "lambda": 0.1
          },
          "result": {
            "mean": 21.595937252044678,
            "std": 5.868687330662625,
            "per_seed": [
              17.42387580871582,
              15.323787689208984,
              28.447860717773438,
              17.114221572875977,
              32.90999221801758,
              16.928159713745117,
              22.993961334228516,
              21.625638961791992
            ],
            "n": 8
          }
        }
      ],
      "confirmed": false
    },
    "track_justification": "Tabular is the prescribed optimizer track; Friedman regression with mlp_tiny has a trainable final linear head and fixed feature dimension, matching the memory correction."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py",
  "files": [
    "bench_experiment.py",
    "bench_report.json"
  ],
  "limitations": "Only the structurally matched built-in tabular track was tested. The run used a short 8-epoch budget and did not test vision, sequence, or dynamics. The mechanism diagnostic should be corrected and independently rerun before making stronger claims about conditioning transfer.",
  "system_verdict": "failed",
  "practical_verdict": "no_effect",
  "mechanism_ok": 0,
  "system_judged": true
}