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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The Lunar Color-Connectivity regularizer used the same 2D-projection MLP as baseline, differing only by the differentiable symmetric soft nearest cross-color penalty. Baseline test MSE was 16.542597 and idea MSE was 16.655847, with paired delta_mean=+0.113250 and p_value=0.6628, so the idea did not win. The mechanism signature was confirmed for the trained idea models because cross-color nearest distance was measured as 0.072500 on average, but this did not translate to better task performance.",
  "metrics": {
    "baseline": "MSE mean 16.542597; best lr=0.01; per_seed=[16.479937,13.553504,18.048687,14.999381,14.820083,16.000380,16.129124,22.309685]",
    "idea": "MSE mean 16.655847; best lr=0.01; per_seed=[17.079338,14.434269,16.626240,15.863789,14.660068,16.299858,16.102301,22.180918]"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "Only the built-in tabular track was tested. The implementation is a soft nearest-pair surrogate, not the full colorful hyperedge hierarchy; regularization weight and temperature were fixed, and the signature measured idea-side trained embeddings only.",
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01,
        "epochs": 12
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 12
          },
          "mean": 201.053711
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 12
          },
          "mean": 58.325451
        },
        {
          "cfg": {
            "lr": 0.01,
            "epochs": 12
          },
          "mean": 15.770377
        }
      ],
      "full": {
        "mean": 16.542597,
        "std": 2.506984,
        "per_seed": [
          16.479937,
          13.553504,
          18.048687,
          14.999381,
          14.820083,
          16.00038,
          16.129124,
          22.309685
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 16.655847,
      "std": 2.255152,
      "per_seed": [
        17.079338,
        14.434269,
        16.62624,
        15.863789,
        14.660068,
        16.299859,
        16.102301,
        22.180918
      ],
      "n": 8,
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 12
          },
          "mean": 207.199633
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 12
          },
          "mean": 61.743484
        },
        {
          "cfg": {
            "lr": 0.01,
            "epochs": 12
          },
          "mean": 16.655847
        }
      ]
    },
    "comparison": {
      "delta_mean": 0.11325,
      "p_value": 0.6628,
      "permutation_p": 0.6628,
      "idea_wins": 4,
      "n_pairs": 8,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "prediction": "training lowers symmetric nearest cross-color embedding distance",
      "predicted_direction": "lower",
      "observed_idea_cross_color_nearest_mean": 0.0725,
      "confirmed": true
    }
  },
  "system_verdict": "partial",
  "practical_verdict": "no_effect",
  "mechanism_ok": 1,
  "system_judged": true
}