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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The Schäffer-lift recurrent system was implemented and evaluated on the structurally matched built-in dynamics track using the canonical harness, eight paired seeds, and a tuned baseline sweep. The trained-model signature confirms pre-boundary energy preservation, but the idea and baseline have identical test MSE on every paired seed, yielding delta_mean=0 and permutation p=1.0; therefore there is no significant task-performance win.",
  "metrics": {
    "baseline": "Best configuration lr=0.01, epochs=8; mean test MSE 0.0019594020559452474 over 8 seeds.",
    "idea": "Best configuration lr=0.01, epochs=8; mean test MSE 0.0019594020559452474 over 8 seeds.",
    "comparison": "delta_mean=0.0; p_value=1.0; idea_wins=0; verdict=no measurable effect.",
    "mechanism_signature": "confirmed=true; trained lift pre-boundary norm ratio=1.0000001192092896; baseline same-horizon norm ratio=0.021659547463059425."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "Only the built-in dynamics track was tested. Covariance-pair training, longer training budgets, FLOP overhead, and infinite-horizon behavior were not tested. The finite K=8 implementation discards memory after its truncation boundary.",
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "schaffer_lift_vs_spectral_linear_rnn",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01,
        "epochs": 8
      },
      "sweep": [
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          "cfg": {
            "lr": 0.001,
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          "mean": 0.06303426390513778,
          "std": 0.051281818071342945,
          "per_seed": [
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            0.050990909337997437,
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          ],
          "n": 8
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 8
          },
          "mean": 0.00516360691835871,
          "std": 0.003482192108607065,
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          "n": 8
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        {
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          "n": 8
        }
      ],
      "harness_tuning": {
        "best_cfg": {
          "lr": 0.01,
          "epochs": 8
        },
        "sweep": [
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            "cfg": {
              "lr": 0.001,
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            },
            "mean": 0.051694528199732304
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          {
            "cfg": {
              "lr": 0.003,
              "epochs": 8
            },
            "mean": 0.005013791742385365
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          {
            "cfg": {
              "lr": 0.01,
              "epochs": 8
            },
            "mean": 0.001887015940155834
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        ],
        "full": {
          "mean": 0.0019594020559452474,
          "std": 0.0007567964341931885,
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          "n": 8
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      },
      "full": {
        "mean": 0.0019594020559452474,
        "std": 0.0007567964341931885,
        "per_seed": [
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        "n": 8
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    },
    "idea": {
      "cfg": {
        "lr": 0.01,
        "epochs": 8
      },
      "per_seed": [
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      ],
      "mean": 0.0019594020559452474,
      "std": 0.0007567964341931885,
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0
      ],
      "p_value": 1.0,
      "mde": 0.0,
      "mde_rel_pct": 0.0,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001,
          "epochs": 8
        },
        "mean": 0.06303426390513778,
        "std": 0.051281818071342945,
        "per_seed": [
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        "n": 8
      },
      {
        "cfg": {
          "lr": 0.003,
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        },
        "mean": 0.00516360691835871,
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      },
      {
        "cfg": {
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        },
        "mean": 0.0019594020559452474,
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        ],
        "n": 8
      }
    ],
    "mechanism_signature": {
      "prediction": "Schaeffer active-subspace update preserves total energy before memory truncation; baseline contraction decays",
      "observed_one_step_relative_energy_error": 0.0,
      "observed_lift_preboundary_norm_ratio": 1.0000001192092896,
      "observed_baseline_same_horizon_norm_ratio": 0.021659547463059425,
      "trained_test_mse": 0.010499801486730576,
      "confirmed": true
    },
    "custom_track": null
  },
  "system_verdict": "partial",
  "practical_verdict": "no_effect",
  "mechanism_ok": 1,
  "system_judged": true
}