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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "Smooth Spectral Muon was implemented as a custom optimizer loop and evaluated on the registered built-in tabular Friedman#1 track with the shared mlp_tiny architecture. The trained-model mechanism signature was confirmed quantitatively, but tuned Adam was significantly better: Smooth Muon mean test MSE 21.8775 versus Adam 7.0048, paired delta +14.8727, permutation p=0.0081. Therefore the benchmark verdict is idea worse (significant), and the system did not work.",
  "metrics": {
    "baseline": "Adam; best lr=0.006, beta1=0.85, weight_decay=0; full 8-seed mean test MSE 7.004796803, std 0.373929317",
    "idea": "Smooth Muon; best lr=0.006, beta=0.9, c=0.001; full 8-seed mean test MSE 21.877507687, std 1.497784459; paired delta +14.872710884; p=0.0081"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006,
        "beta1": 0.85,
        "weight_decay": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.0015,
            "beta1": 0.85,
            "weight_decay": 0.0
          },
          "mean": 12.617201328277588
        },
        {
          "cfg": {
            "lr": 0.0015,
            "beta1": 0.95,
            "weight_decay": 0.0
          },
          "mean": 15.512621641159058
        },
        {
          "cfg": {
            "lr": 0.003,
            "beta1": 0.85,
            "weight_decay": 0.0
          },
          "mean": 8.035151362419128
        },
        {
          "cfg": {
            "lr": 0.003,
            "beta1": 0.95,
            "weight_decay": 0.0
          },
          "mean": 12.083711862564087
        },
        {
          "cfg": {
            "lr": 0.006,
            "beta1": 0.85,
            "weight_decay": 0.0
          },
          "mean": 6.865306854248047
        },
        {
          "cfg": {
            "lr": 0.006,
            "beta1": 0.95,
            "weight_decay": 0.0
          },
          "mean": 8.458353757858276
        }
      ],
      "full": {
        "mean": 7.004796802997589,
        "std": 0.3739293172768815,
        "per_seed": [
          6.71429443359375,
          7.094020843505859,
          6.866542816162109,
          6.786369323730469,
          6.342711448669434,
          7.308849334716797,
          7.395407676696777,
          7.530178546905518
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 21.87750768661499,
      "std": 1.4977844581209827,
      "per_seed": [
        22.2957763671875,
        21.944984436035156,
        22.89360809326172,
        19.71537971496582,
        19.675622940063477,
        22.763729095458984,
        21.369779586791992,
        24.361181259155273
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 14.872710883617401,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        15.58148193359375,
        14.850963592529297,
        16.02706527709961,
        12.929010391235352,
        13.332911254882813,
        15.454879760742188,
        13.974371910095215,
        16.831002712249756
      ],
      "p_value": 0.0081,
      "mde": 1.1379574709779237,
      "mde_rel_pct": 16.24540301427378,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "mechanism_signature": {
        "predicted_response_mean": 0.3883231416550379,
        "observed_response_mean": 0.3883247250989132,
        "response_mae": 1.7781029070577825e-06,
        "update_norm_cv": 0.08146856078007694,
        "n_observations": 600,
        "prediction": "observed singular response follows t/sqrt(t^2+1), t=s/sqrt(epsilon)",
        "confirmed": true
      },
      "idea_grid": [
        {
          "cfg": {
            "lr": 0.0015,
            "beta": 0.9,
            "c": 0.001
          },
          "result": {
            "mean": 105.54728984832764,
            "std": 5.39382412585861,
            "per_seed": [
              114.30227661132812,
              109.72885131835938,
              105.97409057617188,
              96.68315124511719,
              103.86304473876953,
              104.20171356201172,
              99.61021423339844,
              110.01497650146484
            ],
            "n": 8
          }
        },
        {
          "cfg": {
            "lr": 0.003,
            "beta": 0.9,
            "c": 0.001
          },
          "result": {
            "mean": 43.18799352645874,
            "std": 3.9588922932446455,
            "per_seed": [
              49.57056427001953,
              46.739295959472656,
              42.695228576660156,
              37.679901123046875,
              39.12871551513672,
              43.38615036010742,
              39.62131118774414,
              46.68278121948242
            ],
            "n": 8
          }
        },
        {
          "cfg": {
            "lr": 0.006,
            "beta": 0.9,
            "c": 0.001
          },
          "result": {
            "mean": 21.87750768661499,
            "std": 1.4977844581209827,
            "per_seed": [
              22.2957763671875,
              21.944984436035156,
              22.89360809326172,
              19.71537971496582,
              19.675622940063477,
              22.763729095458984,
              21.369779586791992,
              24.361181259155273
            ],
            "n": 8
          }
        }
      ],
      "track_rationale": "Optimizer modification belongs on Friedman#1 tabular MLP; architecture and data are shared."
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json",
    "stage2_stdout.txt"
  ],
  "limitations": "Only the mandated tabular optimizer track was tested; no vision, sequence, dynamics, transformer, large-scale language-model, exact-Muon, matched-FLOP, NaN-stress, or epsilon-ablation benchmark was run.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}