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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The accepted collision_support track was evaluated through bench.get_dataset and bench.train_model with a tuned baseline sweep and the same learning-rate union for the idea. The idea achieved mean test error 0.01750 versus 0.01875 for baseline, but paired delta_mean was -0.00125 with permutation p=0.57515, so there was no significant win. The trained-model mechanism signature was confirmed: sign-flip sensitivity was 0.02209 for baseline versus 0.0 for the invariant idea, with similar parent accuracy.",
  "metrics": {
    "baseline": "mean test error 0.01874999958090484; std 0.0045069391227432615; best_cfg={lr:0.003,epochs:15,batch:128}; 8 per-seed results recorded.",
    "idea": "mean test error 0.017499999434221536; std 0.005590169558486883; best_cfg={lr:0.01,epochs:15,batch:128}; 8 per-seed results recorded.",
    "mechanism_signature": "confirmed=true; baseline mean prediction change under sign flips=0.0220905725; idea=0.0; baseline parent accuracy=0.98124997; idea parent accuracy=0.98281246."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "collision_support",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003,
        "epochs": 15,
        "batch": 128
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 15,
            "batch": 128
          },
          "mean": 0.05312499962747097
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 15,
            "batch": 128
          },
          "mean": 0.018124999478459358
        },
        {
          "cfg": {
            "lr": 0.01,
            "epochs": 15,
            "batch": 128
          },
          "mean": 0.019374999683350325
        }
      ],
      "full": {
        "mean": 0.01874999958090484,
        "std": 0.0045069391227432615,
        "per_seed": [
          0.014999999664723873,
          0.022499999031424522,
          0.019999999552965164,
          0.014999999664723873,
          0.027499999850988388,
          0.017500000074505806,
          0.01249999925494194,
          0.019999999552965164
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.017499999434221536,
      "std": 0.005590169558486883,
      "per_seed": [
        0.017500000074505806,
        0.019999999552965164,
        0.014999999664723873,
        0.02499999850988388,
        0.017500000074505806,
        0.02499999850988388,
        0.007499999832361937,
        0.01249999925494194
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.0012500001466833055,
      "idea_wins": 5,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.002500000409781933,
        -0.002499999478459358,
        -0.004999999888241291,
        0.009999998845160007,
        -0.009999999776482582,
        0.007499998435378075,
        -0.004999999422580004,
        -0.007500000298023224
      ],
      "p_value": 0.57515,
      "mde": 0.006017153669723515,
      "mde_rel_pct": 32.09148695582604,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "math_check": {
        "predicted_exponents": {
          "I_S_vs_s": 2.0,
          "I_D_vs_s": 6.0
        },
        "observed_exponents": {
          "I_S_vs_s": 2.000000000000001,
          "I_D_vs_s": 6.000000000000005
        },
        "gate_at_bench": {
          "I_S": 1.3061224489795922,
          "I_D": 0.025600000000000008,
          "prediction": "parent_block_with_child_ambiguity"
        }
      },
      "trained_behavior": {
        "baseline": {
          "mean_prediction_change": 0.02209057251457125,
          "mean_parent_accuracy": 0.9812499657273293
        },
        "idea": {
          "mean_prediction_change": 0.0,
          "mean_parent_accuracy": 0.9828124567866325
        },
        "prediction": "low I_D implies child identity is not exposed; sign/permutation invariant parent output",
        "observed_child_identity_sensitivity": 0.0,
        "confirmed": true
      },
      "custom_track": {
        "name": "collision_support",
        "file": "collision_track.py",
        "domain": "embedding"
      }
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 run_bench.py",
  "files": [
    "collision_track.py",
    "run_bench.py",
    "bench_report.json"
  ],
  "limitations": "The experiment used a small synthetic custom track rather than a learned dictionary, MNIST, CIFAR, or MoE system. Child-label false-discovery rate and calibration were not primary bench metrics. The registered track was accepted by bench.promote and verified through bench.get_dataset.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}