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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented second-order SCAFFOLD bias compensation in a local training loop on the registered tabular Friedman#1 benchmark using the shared mlp_tiny architecture. Mean test MSE decreased from 5.057340 to 4.554701, but the paired permutation test gave p=0.2491, so this is not a significant win. The trained-model mechanism signature was not confirmed because predicted displacement (-3.435e-11) did not quantitatively match observed displacement (5.154e-08).",
  "metrics": {
    "baseline": "Baseline sweep lr=0.0015, 0.003, 0.006; best lr=0.006; full 8-seed mean MSE 5.057340204715729.",
    "idea": "Idea sweep used the same learning-rate union; best lr=0.006, delta=0.01, ema=0.1; full 8-seed mean MSE 4.5547012984752655; paired delta -0.5026389062404633; p=0.2491; 5/8 wins."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json",
    "stage2_rerun.log"
  ],
  "limitations": "Only the registered tabular Friedman#1 track and mlp_tiny model were tested. No vision, sequence, dynamics, heterogeneous-client, larger-model, or higher-powered replication was run.",
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.0015
          },
          "mean": 6.50612199306488
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 5.869555473327637
        },
        {
          "cfg": {
            "lr": 0.006
          },
          "mean": 4.962810158729553
        }
      ],
      "full": {
        "mean": 5.057340204715729,
        "std": 0.5639876094204693,
        "per_seed": [
          5.718886852264404,
          5.579864501953125,
          4.7256927490234375,
          3.826796531677246,
          5.060815811157227,
          5.323063373565674,
          4.853731155395508,
          5.369870662689209
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 4.5547012984752655,
      "std": 0.8416642558828814,
      "per_seed": [
        5.184708118438721,
        5.024646759033203,
        4.222005367279053,
        4.777006149291992,
        5.235812664031982,
        4.5309157371521,
        4.969952583312988,
        2.492563009262085
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.5026389062404633,
      "idea_wins": 5,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.5341787338256836,
        -0.5552177429199219,
        -0.5036873817443848,
        0.9502096176147461,
        0.17499685287475586,
        -0.7921476364135742,
        0.11622142791748047,
        -2.877307653427124
      ],
      "p_value": 0.2491,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "f2_hat": 0.12070295963746307,
      "f3_hat": -1.2520681114060102,
      "sigma2_hat": 6.631455711858227e-06,
      "predicted_displacement": -3.4351747621157183e-11,
      "observed_displacement": 5.153735449760493e-08,
      "n_obs": 480,
      "confirmed": false
    }
  },
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}