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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented the registered gaussian_score_matching_1d custom track with identical mlp_tiny systems, differing only in standard diagonal-including V-KSD versus positive-part square-root off-diagonal U-KSD training. Across 8 paired seeds, U-KSD was slightly worse on held-out MSE (1.528389 versus 1.502536), with paired delta +0.025853 and permutation p=0.3043; this is not a significant win. The trained-model signature measured lower U-KSD values but does not override the independent task-metric result.",
  "metrics": {
    "baseline": "Best lr=0.001; full 8-seed held-out MSE mean=1.5025363577, std=1.8326529003.",
    "idea": "Best lr=0.001; full 8-seed held-out MSE mean=1.5283892883, std=1.8366178278; paired delta=+0.0258529306; p=0.3043; wins=3/8."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "gaussian_score_matching_1d",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.001
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 1.1268193372525275
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 1.6297587641165592
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 1.749470497830771
        }
      ],
      "full": {
        "mean": 1.5025363577296957,
        "std": 1.8326529003467102,
        "per_seed": [
          4.069608688354492,
          0.41158851981163025,
          0.012981797568500042,
          0.013098343275487423,
          3.647211790084839,
          0.0021213474683463573,
          0.004117978271096945,
          3.859562397003174
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 1.5283892883453518,
      "std": 1.8366178277891556,
      "per_seed": [
        3.990293502807617,
        0.5237103700637817,
        0.006270362995564938,
        0.006991274654865265,
        3.7051634788513184,
        0.019198978319764137,
        0.007155240513384342,
        3.9683310985565186
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.025852930615656078,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.079315185546875,
        0.11212185025215149,
        -0.006711434572935104,
        -0.006107068620622158,
        0.05795168876647949,
        0.01707763085141778,
        0.0030372622422873974,
        0.10876870155334473
      ],
      "p_value": 0.3043,
      "mde": 0.05390015205194874,
      "mde_rel_pct": 3.5872777237411313,
      "verdict": "no significant win",
      "system_worked": false
    },
    "custom_track": {
      "name": "gaussian_score_matching_1d",
      "file": "ksd_track_1d.py",
      "domain": "loss"
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001
        },
        "mean": 1.1318163776304573
      },
      {
        "cfg": {
          "lr": 0.003
        },
        "mean": 1.2970416366588324
      },
      {
        "cfg": {
          "lr": 0.01
        },
        "mean": 1.7874763637082651
      }
    ],
    "training": {
      "epochs": 25,
      "batch": 64,
      "gamma": 0.5
    },
    "mechanism_signature": {
      "predicted_hs_over_trace_scale": 1.0,
      "observed_bootstrap_sd_U_over_V": 1.4147629631608514,
      "trained_output_v": 0.11319427937269211,
      "trained_output_u": 0.08958904214593925,
      "test_mse": 3.990293502807617,
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "ksd_track_1d.py",
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "The registered custom task is a small 1D Gaussian score-matching regression benchmark because the built-in tracks lack known target-score/KSD structure. Only mlp_tiny, one RBF bandwidth gamma=0.5, 25 epochs, batch 64, and three learning rates were tested; the mechanism bootstrap used one trained seed and is exploratory.",
  "system_verdict": "partial",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 1,
  "system_judged": true
}