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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented an end-to-end SU(2) quaternion transport classifier on the structurally matched holonomy cycle track, with identical baseline and idea architectures and Wilson-loop loss as the only intervention. The idea achieved mean test error 0.0150 versus baseline 0.0244, with 6/8 paired wins and delta -0.009375, but the paired permutation p-value was 0.2182, so this is not a significant win under the benchmark protocol. The trained model showed compatibility M=0.8123 and Wilson energy 0.1877; the covariance/flatness sanity check passed numerically, but this mechanism signal does not override the nonsignificant task result.",
  "metrics": {
    "baseline": "holonomy_cycle_sector; best lr=0.006, weight_decay=0.0, epochs=8; full mean error=0.0243749991, per-seed=[0.0500,0.0200,0.0150,0.0300,0.0150,0.0100,0.0250,0.0300]",
    "idea": "Wilson lambda=0.1, lr=0.006, weight_decay=0.0, epochs=8; full mean error=0.0149999995, per-seed=[0.0050,0.0150,0.0100,0.0100,0.0150,0.0050,0.0450,0.0150]; delta=-0.0093749996; p=0.2182",
    "mechanism_signature": "trained seed-0 compatibility M=0.8122859, Wilson energy=0.1877141; quaternion conjugation max error=3.58e-7 and pure-gauge flat-loop scalar=1.0; signature confirmed=true for the observed compatibility/frustration effect, not for task improvement"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "holonomy_cycle_sector",
    "model": "custom_transport_cycle",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006,
        "epochs": 8,
        "wd": 0.0,
        "lam": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 8,
            "wd": 0.0,
            "lam": 0.0
          },
          "mean": 0.0412499977
        },
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 8,
            "wd": 0.0001,
            "lam": 0.0
          },
          "mean": 0.0412499977
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 8,
            "wd": 0.0,
            "lam": 0.0
          },
          "mean": 0.0349999997
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 8,
            "wd": 0.0001,
            "lam": 0.0
          },
          "mean": 0.0349999997
        },
        {
          "cfg": {
            "lr": 0.006,
            "epochs": 8,
            "wd": 0.0,
            "lam": 0.0
          },
          "mean": 0.0287499989
        },
        {
          "cfg": {
            "lr": 0.006,
            "epochs": 8,
            "wd": 0.0001,
            "lam": 0.0
          },
          "mean": 0.0287499989
        }
      ],
      "full": {
        "mean": 0.0243749991,
        "std": 0.0118420588,
        "per_seed": [
          0.049999997,
          0.0199999996,
          0.0149999997,
          0.0299999993,
          0.0149999997,
          0.0099999998,
          0.0249999985,
          0.0299999993
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0149999995,
      "std": 0.0119895782,
      "per_seed": [
        0.0049999999,
        0.0149999997,
        0.0099999998,
        0.0099999998,
        0.0149999997,
        0.0049999999,
        0.0449999981,
        0.0149999997
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.0093749996,
      "idea_wins": 6,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.0449999971,
        -0.0049999999,
        -0.0049999999,
        -0.0199999996,
        0.0,
        -0.0049999999,
        0.0199999996,
        -0.0149999997
      ],
      "p_value": 0.2182,
      "mde": 0.015552957,
      "mde_rel_pct": 63.807,
      "verdict": "no significant win",
      "system_worked": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.006,
          "epochs": 8,
          "wd": 0.0,
          "lam": 0.01
        },
        "mean": 0.0243749992
      },
      {
        "cfg": {
          "lr": 0.006,
          "epochs": 8,
          "wd": 0.0,
          "lam": 0.03
        },
        "mean": 0.0218749995
      },
      {
        "cfg": {
          "lr": 0.006,
          "epochs": 8,
          "wd": 0.0,
          "lam": 0.1
        },
        "mean": 0.0149999995
      }
    ],
    "custom_track": {
      "name": "holonomy_cycle_sector",
      "file": "bench/custom_tracks/holonomy_cycle_sector.py",
      "domain": "graph-nn"
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json",
    "run.log"
  ],
  "limitations": "The available matched track uses an 8-edge cycle and binary U(1)-style planted sectors rather than triangular SU(2) plaquettes on a general graph, so the experiment tests transfer of the Wilson-loop principle but not the full proposed GNN setting. No graph-size sweep, latent-frame randomization, or disorder susceptibility curve was run. The mechanism signature's confirmed flag reflects measured trained-model frustration reduction and algebraic sanity checks, not a statistically confirmed accuracy gain.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": null,
  "system_judged": true
}