{
  "item": "kap-1e4",
  "status": "complete",
  "kappa": 0.0001,
  "solver": {
    "converged": true,
    "sweeps": 110,
    "control_table_identical": true,
    "control_cells_changed": 0,
    "perfect_information_offsets_identical": true,
    "gain_per_run": 536.8206098114669,
    "final_max_value_change": 1.88e-07,
    "convergence_tolerance": 2e-07,
    "checkpoint_interval": 5,
    "control_full_json_identical": false,
    "metadata_difference": {
      "field": "g",
      "shipped": 0.05368206098114493,
      "regenerated": 0.05368206098114668,
      "policy_uses_field": false
    }
  },
  "table_change": {
    "cells_total": 1073424,
    "cells_changed": 555540,
    "rms_bps": 8.03887179165462,
    "max_bps": 55.56
  },
  "tuning_vs_control": {
    "paired": {
      "n": 256,
      "mean_diff": -9.959136833797023,
      "se": 0.11464298940839451,
      "sum": -2549.539029452038,
      "sumsq": 26249.18407795671,
      "worst5": [
        [
          66156,
          -15.348683504219707
        ],
        [
          66037,
          -15.314168347110808
        ],
        [
          66138,
          -14.81329960832295
        ],
        [
          66019,
          -14.457835784582244
        ],
        [
          66158,
          -14.01617781902371
        ]
      ]
    },
    "candidate": {
      "first": 2003993,
      "misread": 851,
      "misread_rate": 0.0004246521819187991,
      "price_rms_bps": 4.274846346096283,
      "price_observations": 3262431
    },
    "control": {
      "first": 1796325,
      "misread": 1166,
      "misread_rate": 0.0006491030297969465,
      "price_rms_bps": 7.190953995101432,
      "price_observations": 2789899
    },
    "missing_seeds": [],
    "candidate_policy": "TellGauss soft=1 qm_k1e-4.json",
    "control_policy": "TellGauss soft=1 qm_k1e-5.json"
  },
  "holdout_vs_control": {
    "paired": {
      "n": 2048,
      "mean_diff": -10.096525516926581,
      "se": 0.0427677144801842,
      "sum": -20677.68425866564,
      "sumsq": 216440.72746097465,
      "worst5": [
        [
          10942,
          -23.41100261098768
        ],
        [
          11077,
          -18.739076347393734
        ],
        [
          11741,
          -17.497243834358073
        ],
        [
          10659,
          -16.752502750506665
        ],
        [
          10380,
          -16.344470711955978
        ]
      ]
    },
    "candidate": {
      "first": 16012471,
      "misread": 7189,
      "misread_rate": 0.00044896256174328125,
      "price_rms_bps": 4.293024054554333,
      "price_observations": 26056021
    },
    "control": {
      "first": 14351248,
      "misread": 9363,
      "misread_rate": 0.0006524171277647769,
      "price_rms_bps": 7.207841190573026,
      "price_observations": 22283386
    },
    "missing_seeds": [],
    "candidate_policy": "TellGauss soft=1 qm_k1e-4.json",
    "control_policy": "TellGauss soft=1 qm_k1e-5.json"
  },
  "holdout_vs_flag_qm": {
    "paired": {
      "n": 2048,
      "mean_diff": -10.122303438618262,
      "se": 0.04275405515695735,
      "sum": -20730.4774422902,
      "sumsq": 217503.24654512646,
      "worst5": [
        [
          10942,
          -23.31840042842441
        ],
        [
          11077,
          -18.756694604347445
        ],
        [
          11741,
          -17.55376809848235
        ],
        [
          10659,
          -16.5395626514387
        ],
        [
          11025,
          -16.457471862775378
        ]
      ]
    },
    "candidate": {
      "first": 16012471,
      "misread": 7189,
      "misread_rate": 0.00044896256174328125,
      "price_rms_bps": 4.293024054554333,
      "price_observations": 26056021
    },
    "control": {
      "first": 14349512,
      "misread": 0,
      "misread_rate": 0.0,
      "price_rms_bps": 7.1119119607811285,
      "price_observations": 22279454
    },
    "missing_seeds": [],
    "candidate_policy": "TellGauss soft=1 qm_k1e-4.json",
    "control_policy": "shipped ref/flag_qm.json; true-flag diagnostic"
  },
  "conclusion": "Reject kappa=1e-4 for this TellGauss policy: improved price precision is outweighed by lower edge.",
  "limitations": [
    "Replica only. No engine runs, board entry, Solidity port, or gas measurement.",
    "One fixed kappa variant; no additional tuning after the 256-seed comparison. Both holdout arms scored once per seed.",
    "The float-grid tell is the assignment-provided mechanism. Its reliability on an independent engine or other floating-point implementations was not established here.",
    "The same original qmdp.igtab information objective is retained; only kappa changes, as requested. No new true-flag-specific objective was substituted.",
    "Tables and value arrays are intentionally excluded from the scripts-only payload. Reproduction needs pinned reference assets, and solver/table generation needs NumPy and Numba; pure-Python scoring uses no third-party package.",
    "No gas estimate was measured. The tell adds two ulp calculations, a floating remainder, and the likelihood reweighting on first trades."
  ],
  "checks": {
    "reference_sha256_files": 26,
    "reference_sha256_mismatches": 0,
    "reference_gates": "Exact printed match for all four policies on seeds 10000,10001,10002.",
    "reference_gates_output": "seed   perfect-info      gaussian+plain    gaussian+qm       lattice+qm\n10000  448.261189  443.455598  443.522608  443.663520\n10001  576.779199  571.463409  571.623551  571.977293\n10002  531.886497  525.168028  525.865859  526.411631\n",
    "unchanged_reference_files": {
      "dp.py": true,
      "qmdp.py": true,
      "real.py": true,
      "run.py": true,
      "pair.py": true,
      "replica2.py": true
    },
    "blindness": "run.py Blind wrapper unchanged; TellGauss.on_trade accepts only six callback inputs, needs_flag=False.",
    "table_sha256": {
      "qm_k1e-5.json": "5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd",
      "qm_control.json": "ccde8e8c587296bcd49816ad805e1a6e6aa962d31b27c2fe4fd3d3d299104d14",
      "qm_k1e-4.json": "e4fb4e2292e22d857ea0840fe4f7eafd6939b10481c33a940f5b65facaa628f3"
    },
    "table_metric": "Differences over all ask/bid offset cells, in bps; not fee-space differences.",
    "seed_coverage": {
      "tuning_requested": [
        66000,
        66255
      ],
      "tuning_candidate": 256,
      "tuning_control": 256,
      "holdout_requested": [
        10000,
        12047
      ],
      "holdout_candidate": 2048,
      "holdout_control": 2048,
      "holdout_flag_reference": 2048,
      "seed_chunks": 256,
      "no_imputation": true
    },
    "statistical_method": "Candidate minus reference; sample standard deviation / sqrt(n), as unchanged pair.py; sum and sumsq from unrounded differences. worst5 entries are [seed,difference]. Misread and price RMS are pooled over first trades and callbacks, respectively.",
    "source": "Pinned source URLs and exact quotations are in sources.json. New measurements were produced locally by the included scripts."
  },
  "code_zb64": 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  "code_sha256": "e9426024400de575a5dfd6672e5810ce8cee8be9c471249d6d0f8c7b15843553",
  "code_encoding": "base64(zlib(tar)); code_sha256 hashes uncompressed tar; scripts only",
  "runtime": {
    "python": "3.12.16",
    "numpy": "2.5.4",
    "numba": "0.68.1",
    "llvmlite": "0.50.0",
    "numba_threads": 4,
    "scoring_processes": 4
  }
}
