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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Built and tested two-phase Floquet-SGD on the registered dynamics track with the identical rnn_small architecture and paired seeds. The mechanism signature was quantitatively confirmed on a trained model, but the task-metric improvement was not significant: baseline MSE 0.0456460 versus idea MSE 0.0454093, paired delta -0.0002367, permutation p=0.7555. Therefore the optimizer did not demonstrate a reliable neural-training win.",
  "metrics": {
    "baseline": "Tuned constant SGD, lr=0.006, 8-seed mean test MSE 0.0456460316",
    "idea": "Floquet-SGD, phase multipliers [1.6, 0.4], 1+1 steps, lr=0.006, 8-seed mean test MSE 0.0454093204; delta -0.0002367112; p=0.7555"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "sweep": {
        "best_cfg": {
          "lr": 0.006
        },
        "sweep": [
          {
            "cfg": {
              "lr": 0.001
            },
            "mean": 0.5709687098860741
          },
          {
            "cfg": {
              "lr": 0.003
            },
            "mean": 0.28142324835062027
          },
          {
            "cfg": {
              "lr": 0.006
            },
            "mean": 0.052330534905195236
          }
        ],
        "full": {
          "mean": 0.04564603161998093,
          "std": 0.019217470172042173,
          "per_seed": [
            0.0358407162129879,
            0.04454701393842697,
            0.03819940611720085,
            0.09073500335216522,
            0.030078278854489326,
            0.030246704816818237,
            0.03592348471283913,
            0.059597644954919815
          ],
          "n": 8
        }
      },
      "best_config": {
        "lr": 0.006
      },
      "full": {
        "lr": 0.006,
        "periodic": false,
        "per_seed": [
          0.0358407162129879,
          0.04454701393842697,
          0.03819940611720085,
          0.09073500335216522,
          0.030078278854489326,
          0.030246704816818237,
          0.03592348471283913,
          0.059597644954919815
        ],
        "mean": 0.04564603161998093,
        "std": 0.020544339778379852
      }
    },
    "idea": {
      "lr": 0.006,
      "periodic": true,
      "per_seed": [
        0.03649410977959633,
        0.04531322419643402,
        0.03744680434465408,
        0.08633020520210266,
        0.030837101861834526,
        0.02951119653880596,
        0.03519521281123161,
        0.062146708369255066
      ],
      "mean": 0.04540932038798928,
      "std": 0.01951914347909807
    },
    "comparison": {
      "delta_mean": -0.00023671123199164867,
      "idea_wins": 4,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.000653393566608429,
        0.0007662102580070496,
        -0.0007526017725467682,
        -0.004404798150062561,
        0.0007588230073451996,
        -0.0007355082780122757,
        -0.0007282719016075134,
        0.002549063414335251
      ],
      "p_value": 0.7555,
      "mde": 0.0016924713304113021,
      "mde_rel_pct": 3.707817022302648,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "track_match": "dynamics is the built-in stability/control track",
      "schedule": {
        "phase_steps": [
          1,
          1
        ],
        "lr_multipliers": [
          1.6,
          0.4
        ]
      },
      "predicted_vs_observed": {
        "seed": 0,
        "test_mse": 0.03649410977959633,
        "predicted_rho_product": 0.9999960247634755,
        "observed_two_phase_gain": 1.000000023644702,
        "relative_error": 3.998881131933376e-06,
        "confirmed": true
      }
    },
    "idea_sweep": [
      {
        "lr": 0.006,
        "periodic": true,
        "per_seed": [
          0.03649410977959633,
          0.04531322419643402,
          0.03744680434465408,
          0.08633020520210266,
          0.030837101861834526,
          0.02951119653880596,
          0.03519521281123161,
          0.062146708369255066
        ],
        "mean": 0.04540932038798928,
        "std": 0.01951914347909807
      },
      {
        "lr": 0.001,
        "periodic": true,
        "per_seed": [
          0.4697585105895996,
          0.6145305633544922,
          0.5424293875694275,
          0.6560655236244202,
          0.49593931436538696,
          0.5435400009155273,
          0.5226424336433411,
          0.6273190379142761
        ],
        "mean": 0.5590280964970589,
        "std": 0.0664927567198825
      },
      {
        "lr": 0.003,
        "periodic": true,
        "per_seed": [
          0.22396183013916016,
          0.29183024168014526,
          0.2440265566110611,
          0.3627980649471283,
          0.21796903014183044,
          0.23902076482772827,
          0.23642562329769135,
          0.3251190781593323
        ],
        "mean": 0.26764389872550964,
        "std": 0.05300950027246798
      }
    ],
    "runtime_sec": 87.40311336517334
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_floquet.py",
  "files": [
    "bench_floquet.py",
    "bench_report.json"
  ],
  "limitations": "Only the registered dynamics track, rnn_small model, 18 epochs, 800 training samples, and three shared learning rates were tested. The mechanism signature used one trained seed and a directional finite-difference perturbation rather than a full Jacobian spectrum; no other tracks, Adam or momentum phases, longer periods, wall-clock speed, or adaptive spectral-radius controller was tested.",
  "system_verdict": "failed",
  "practical_verdict": "no_effect",
  "mechanism_ok": 0,
  "system_judged": true
}