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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The rank-one feedback spectrum regularizer was implemented and evaluated on the registered dynamics/rnn_small benchmark with paired seeds and a tuned baseline sweep. The idea and baseline tied exactly on the best shared configuration: mean test MSE 0.0281912, paired delta 0, permutation p=1.0. The trained-model mechanism signature showed a stable closed-loop radius and rapid impulse decay, but there was no task-metric improvement.",
  "metrics": {
    "baseline": "best_cfg lr=0.008, epochs=4; full 8-seed test MSE mean=0.028191218618303537, std=0.00941179428559433",
    "idea": "best shared cfg lr=0.008, epochs=4; 8-seed test MSE mean=0.028191218618303537, std=0.00941179428559433; paired delta=0.0; p=1.0"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "The runtime-reduced run used 300 training samples, 100 test samples, 4 epochs, and three shared learning rates. The expensive contour penalty was evaluated only on the first batch of each epoch. No larger-budget, FLOP, nonnormal-A, or largest-step-size stress test was run.",
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.008,
        "epochs": 4
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 4
          },
          "mean": 0.5953082144260406
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 4
          },
          "mean": 0.10966488905251026
        },
        {
          "cfg": {
            "lr": 0.008,
            "epochs": 4
          },
          "mean": 0.03306290879845619
        }
      ],
      "full": {
        "mean": 0.028191218618303537,
        "std": 0.00941179428559433,
        "per_seed": [
          0.02482418529689312,
          0.0305247250944376,
          0.03442683070898056,
          0.04247589409351349,
          0.03063284419476986,
          0.032435934990644455,
          0.00868426263332367,
          0.021525071933865547
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.028191218618303537,
      "std": 0.00941179428559433,
      "per_seed": [
        0.02482418529689312,
        0.0305247250944376,
        0.03442683070898056,
        0.04247589409351349,
        0.03063284419476986,
        0.032435934990644455,
        0.00868426263332367,
        0.021525071933865547
      ],
      "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": 4
        },
        "result": {
          "mean": 0.5345333833247423,
          "std": 0.23927076863633712,
          "per_seed": [
            1.0017974376678467,
            0.4472554326057434,
            0.5233490467071533,
            0.4088309407234192,
            0.6549403071403503,
            0.506942868232727,
            0.09783221781253815,
            0.6353188157081604
          ],
          "n": 8
        }
      },
      {
        "cfg": {
          "lr": 0.003,
          "epochs": 4
        },
        "result": {
          "mean": 0.10709239076822996,
          "std": 0.08118211631280865,
          "per_seed": [
            0.26944971084594727,
            0.051673080772161484,
            0.06369593739509583,
            0.05384082719683647,
            0.18701888620853424,
            0.03764942288398743,
            0.03692366182804108,
            0.1564875990152359
          ],
          "n": 8
        }
      },
      {
        "cfg": {
          "lr": 0.008,
          "epochs": 4
        },
        "result": {
          "mean": 0.028191218618303537,
          "std": 0.00941179428559433,
          "per_seed": [
            0.02482418529689312,
            0.0305247250944376,
            0.03442683070898056,
            0.04247589409351349,
            0.03063284419476986,
            0.032435934990644455,
            0.00868426263332367,
            0.021525071933865547
          ],
          "n": 8
        }
      }
    ],
    "architecture_note": "shared explicit scalar-feedback RNN; only contour loss differs",
    "mechanism_signature": {
      "predicted_max_closed_loop_radius": 0.6001667901873589,
      "predicted_contour_penalty": 0.0,
      "observed_impulse_norm_k11": 0.0009282528899348108,
      "max_gain_proxy": 1.0,
      "history_last": 0.037599533624015746,
      "paired_trained_models": 8,
      "prediction": "local rank-one H contour margin should track closed-loop spectral radius and impulse decay",
      "confirmed": true
    }
  },
  "system_verdict": "partial",
  "practical_verdict": "no_effect",
  "mechanism_ok": 1,
  "system_judged": true
}