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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The built-in sequence track is structurally matched to multi-token Hopfield retrieval. The implicit proximal system improved test MSE from 0.2342017405 to 0.2254332751, but the paired permutation p-value was 0.0989, so this is not a significant win under the bench criterion. The trained-model mechanism signature was also not confirmed because the observed update proxy and truncated-solver residual did not match the predicted contraction behavior.",
  "metrics": {
    "baseline": "Best explicit retrieval baseline: MSE 0.23420174047350883, cfg {lr: 0.003, h: 0.5}.",
    "idea": "Best implicit proximal retrieval: MSE 0.22543327510356903, cfg {lr: 0.003, h: 0.25}; paired delta -0.008768465369939804, p=0.0989, 6/8 wins."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json",
    "bench_stdout.txt"
  ],
  "limitations": "Only the registered built-in sequence track was tested. The solver used four fixed damped iterations rather than residual stopping; latency/FLOP comparisons and solver-depth ablations were not performed.",
  "bench_report": {
    "bench_version": 1,
    "track": "sequence",
    "model": "transformer_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003,
        "h": 0.5
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "h": 0.25
          },
          "mean": 0.2493586614727974
        },
        {
          "cfg": {
            "lr": 0.001,
            "h": 0.5
          },
          "mean": 0.2649332508444786
        },
        {
          "cfg": {
            "lr": 0.001,
            "h": 1.0
          },
          "mean": 0.7523908466100693
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 0.25
          },
          "mean": 0.23155009746551514
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 0.5
          },
          "mean": 0.22348908707499504
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 1.0
          },
          "mean": 0.5268309041857719
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 0.25
          },
          "mean": 0.2243846096098423
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 0.5
          },
          "mean": 0.2355707883834839
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 1.0
          },
          "mean": 0.32828281819820404
        }
      ],
      "full": {
        "mean": 0.23420174047350883,
        "std": 0.016185067362191236,
        "per_seed": [
          0.23501601815223694,
          0.22905701398849487,
          0.21894444525241852,
          0.21093887090682983,
          0.22080592811107635,
          0.25765979290008545,
          0.25429099798202515,
          0.24690085649490356
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.22543327510356903,
      "std": 0.01735437575236533,
      "per_seed": [
        0.23665836453437805,
        0.22656376659870148,
        0.1995636522769928,
        0.20898140966892242,
        0.22604718804359436,
        0.24744051694869995,
        0.2494838833808899,
        0.2087274193763733
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.008768465369939804,
      "idea_wins": 6,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0016423463821411133,
        -0.002493247389793396,
        -0.01938079297542572,
        -0.0019574612379074097,
        0.005241259932518005,
        -0.010219275951385498,
        -0.004807114601135254,
        -0.03817343711853027
      ],
      "p_value": 0.0989,
      "mde": 0.011763589379734927,
      "mde_rel_pct": 5.022844559545678,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "track_reason": "sequence forecasting has multi-token temporal correlations and matches attention retrieval",
      "math_check": {
        "residual": 4.778569379157488e-14,
        "proximal_gap": -0.9987131902793784,
        "inequality_holds": true
      },
      "idea_sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "h": 0.25
          },
          "mean_first4": 0.25004270672798157
        },
        {
          "cfg": {
            "lr": 0.001,
            "h": 0.5
          },
          "mean_first4": 0.25673653185367584
        },
        {
          "cfg": {
            "lr": 0.001,
            "h": 1.0
          },
          "mean_first4": 0.2673832103610039
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 0.25
          },
          "mean_first4": 0.2179417982697487
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 0.5
          },
          "mean_first4": 0.23660990595817566
        },
        {
          "cfg": {
            "lr": 0.003,
            "h": 1.0
          },
          "mean_first4": 0.2190544456243515
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 0.25
          },
          "mean_first4": 0.24392002075910568
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 0.5
          },
          "mean_first4": 0.2311645783483982
        },
        {
          "cfg": {
            "lr": 0.01,
            "h": 1.0
          },
          "mean_first4": 0.23392339795827866
        }
      ],
      "selected_idea_cfg": {
        "lr": 0.003,
        "h": 0.25
      },
      "predicted_vs_observed": {
        "predicted_contraction_bound": 0.2,
        "observed_update_fraction_proxy": 0.5,
        "median_residual": 0.06393065303564072,
        "confirmed": false
      }
    }
  },
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}