{
  "item": "tl-1",
  "status": "complete",
  "policy": {
    "candidate": "tellpol:TellLattice",
    "control": "tellpol:TellGauss",
    "C": 1,
    "soft": 1,
    "qm": "qm_k1e-5.json",
    "tuning": "No fitting or selection; C fixed to 1 as assigned."
  },
  "tuning_candidate_vs_control": {
    "paired": {
      "n": 256,
      "mean_diff": -0.01619367323318932,
      "se": 0.011635303425946144,
      "sum": -4.145580347696466,
      "sumsq": 8.904757231439616,
      "worst5": [
        [
          66192,
          -1.177483128633753
        ],
        [
          66033,
          -0.922783873688445
        ],
        [
          66039,
          -0.5392480716232058
        ],
        [
          66181,
          -0.4851267388537508
        ],
        [
          66096,
          -0.44904476075151933
        ]
      ]
    },
    "seed_ranges": [
      [
        66000,
        66255
      ]
    ],
    "candidate": {
      "n": 256,
      "mean_edge": 533.4835743015765,
      "first_trades": 1796161,
      "misread_count": 948,
      "misread_rate": 0.0005277923304202685,
      "price_squared_error_sum_bps2": 142615856.02906993,
      "price_observations": 2789530,
      "price_rms_bps": 7.150203269794389
    },
    "control": {
      "n": 256,
      "mean_edge": 533.4997679748096,
      "first_trades": 1796325,
      "misread_count": 1166,
      "misread_rate": 0.0006491030297969465,
      "price_squared_error_sum_bps2": 144265173.3217107,
      "price_observations": 2789899,
      "price_rms_bps": 7.190953995101432
    }
  },
  "holdout_candidate_vs_control": {
    "paired": {
      "n": 2048,
      "mean_diff": 0.01109783131377387,
      "se": 0.0041471603493534815,
      "sum": 22.728358530608887,
      "sumsq": 72.35459055132897,
      "worst5": [
        [
          10843,
          -1.5610054192148937
        ],
        [
          10217,
          -1.3494217035330394
        ],
        [
          11949,
          -1.041199612378989
        ],
        [
          11911,
          -0.8585684098612774
        ],
        [
          11289,
          -0.6156879449005714
        ]
      ]
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "candidate": {
      "n": 2048,
      "mean_edge": 536.528202524211,
      "first_trades": 14350137,
      "misread_count": 7327,
      "misread_rate": 0.0005105874598967243,
      "price_squared_error_sum_bps2": 1142201048.399608,
      "price_observations": 22279574,
      "price_rms_bps": 7.160079360353416
    },
    "control": {
      "n": 2048,
      "mean_edge": 536.5171046928973,
      "first_trades": 14351249,
      "misread_count": 9364,
      "misread_rate": 0.0006524867626504146,
      "price_squared_error_sum_bps2": 1157695599.6027822,
      "price_observations": 22283388,
      "price_rms_bps": 7.207863941200953
    }
  },
  "holdout_candidate_vs_flag_qm": {
    "paired": {
      "n": 2048,
      "mean_diff": -0.014658700324692076,
      "se": 0.003771887786468812,
      "sum": -30.02101826496937,
      "sumsq": 60.083871547184756,
      "worst5": [
        [
          10843,
          -1.6153948126161595
        ],
        [
          11949,
          -1.0989587802935716
        ],
        [
          11250,
          -0.7346220859876667
        ],
        [
          10772,
          -0.5999884058009002
        ],
        [
          10617,
          -0.5633936275738733
        ]
      ]
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "candidate": {
      "n": 2048,
      "mean_edge": 536.528202524211,
      "first_trades": 14350137,
      "misread_count": 7327,
      "misread_rate": 0.0005105874598967243,
      "price_squared_error_sum_bps2": 1142201048.399608,
      "price_observations": 22279574,
      "price_rms_bps": 7.160079360353416
    },
    "control": {
      "n": 2048,
      "mean_edge": 536.5428612245357,
      "first_trades": 14349512,
      "misread_count": 0,
      "misread_rate": 0.0,
      "price_squared_error_sum_bps2": 1126879003.6271603,
      "price_observations": 22279454,
      "price_rms_bps": 7.1119119607811285
    }
  },
  "holdout_control_vs_flag_qm": {
    "paired": {
      "n": 2048,
      "mean_diff": -0.025756531638465946,
      "se": 0.0027241635816954105,
      "sum": -52.74937679557826,
      "sumsq": 32.46965457110365,
      "worst5": [
        [
          10636,
          -0.6573389088687236
        ],
        [
          11358,
          -0.633722002346758
        ],
        [
          10502,
          -0.581711775079043
        ],
        [
          11172,
          -0.5402376195721672
        ],
        [
          11646,
          -0.511123592308877
        ]
      ]
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "candidate": {
      "n": 2048,
      "mean_edge": 536.5171046928973,
      "first_trades": 14351249,
      "misread_count": 9364,
      "misread_rate": 0.0006524867626504146,
      "price_squared_error_sum_bps2": 1157695599.6027822,
      "price_observations": 22283388,
      "price_rms_bps": 7.207863941200953
    },
    "control": {
      "n": 2048,
      "mean_edge": 536.5428612245357,
      "first_trades": 14349512,
      "misread_count": 0,
      "misread_rate": 0.0,
      "price_squared_error_sum_bps2": 1126879003.6271603,
      "price_observations": 22279454,
      "price_rms_bps": 7.1119119607811285
    }
  },
  "holdout_candidate_vs_lattice_qm": {
    "paired": {
      "n": 2048,
      "mean_diff": 2.7072781500496674,
      "se": 0.020712200282428973,
      "sum": 5544.505651301719,
      "sumsq": 16808.976873719,
      "worst5": [
        [
          10578,
          -0.9544258971242243
        ],
        [
          10403,
          -0.5422439128458336
        ],
        [
          10923,
          -0.40154296911379106
        ],
        [
          10387,
          -0.22288910748886792
        ],
        [
          10731,
          0.007926284643758663
        ]
      ]
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "candidate": {
      "n": 2048,
      "mean_edge": 536.528202524211,
      "first_trades": 14350137,
      "misread_count": 7327,
      "misread_rate": 0.0005105874598967243,
      "price_squared_error_sum_bps2": 1142201048.399608,
      "price_observations": 22279574,
      "price_rms_bps": 7.160079360353416
    },
    "control": {
      "n": 2048,
      "mean_edge": 533.8209243741613,
      "first_trades": 14315685,
      "misread_count": 2322695,
      "misread_rate": 0.162248261260289,
      "price_squared_error_sum_bps2": 4143769057.6884427,
      "price_observations": 22263118,
      "price_rms_bps": 13.64283973652866
    }
  },
  "checks": {
    "tell_off_equals_lattice_qm_on_2_seeds": true,
    "tell_off_equals_gauss_qm_on_2_seeds": true,
    "hidden_input_scramble_equal": true,
    "policy_never_reads_truth": true,
    "details": {
      "seeds": [
        66000,
        66001
      ],
      "callbacks": {
        "off_TellLattice_66000": 12125,
        "scramble_TellLattice_66000": 12221,
        "off_TellLattice_66001": 12026,
        "scramble_TellLattice_66001": 12057,
        "off_TellGauss_66000": 12229,
        "scramble_TellGauss_66000": 12227,
        "off_TellGauss_66001": 12087,
        "scramble_TellGauss_66001": 12055
      },
      "method": "Exact fee and complete filter-state equality for tell-off versus reference; active tell receives Poison hidden inputs through a diagnostics-free wrapper. Six-argument callbacks; needs_flag=False; oraclearb option rejected."
    }
  },
  "gas_estimate": {
    "measured": false,
    "evm_gas": null,
    "afterSwap_peak": null,
    "tell_overhead": "O(1): select input and reserve, clamp fees, compute two ulps, a floating remainder, tolerance and likelihood weight.",
    "lattice_cost": {
      "probability_cells": 121,
      "diffusion_kernel_taps": 33,
      "maximum_inner_iterations_per_diffusion": 3993,
      "maximum_diffusions_per_first_trade": 31
    },
    "assessment": "No Solidity port or gas measurement. A naive one-cell-per-slot lattice needs 121 probability slots before other state; it would need compression for the 32-slot contract budget."
  },
  "limitations": [
    "Replica-only results; no Rust engine, Solidity validation or board entry.",
    "The IEEE-754 reserve-grid tell has not been validated against Rust-engine or Solidity callbacks.",
    "Original lattice dead-belief restart and zero-retail-mass pin fallbacks, hard thresholds and quote tables are retained; only the normal first-trade likelihood mixture changes.",
    "The true-flag reference is the supplied Gaussian diagnostic, not an additional flag-aware lattice experiment.",
    "No numerical gas claim is made."
  ],
  "seed_ledger": {
    "tuning_candidate": [
      [
        66000,
        66255
      ]
    ],
    "tuning_control": [
      [
        66000,
        66255
      ]
    ],
    "holdout_candidate": [
      [
        10000,
        12047
      ]
    ],
    "holdout_control": [
      [
        10000,
        12047
      ]
    ],
    "missing_candidate": [],
    "missing_control": [],
    "holdout_runs_per_seed_per_arm": 1,
    "checks_and_smoke": "Seeds 66000 and 66001 used for callback equality; 66000..66007 used for an initial smoke test. All checks/smoke are outside holdout."
  },
  "method": {
    "runner": "Unmodified pinned run.py, six public afterSwap inputs only; run.Blind collects truth-based diagnostics outside the policy.",
    "pairing": "Unmodified pair.py used for comparisons; summarize_tell.py additionally reports unrounded values and sum/sumsq for pooling.",
    "statistics": "Candidate minus reference edge on common seeds; evalpol.stats standard error; worst5 entries are [seed, difference]. Misread rate is total first-trade misreads / total first trades. Price RMS is sqrt(total squared log-price error in bps / total observed callbacks).",
    "upstream": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved",
    "upstream_sha256_check": "All 26 fetched files matched SHA256SUMS after experiments.",
    "chunk_size": 256,
    "command_timeout_seconds": 470
  },
  "what_the_lattice_adds_once_the_flag_is_known": "With the same blind reserve-grid tell in both filters, the lattice adds +0.011098 edge versus Gaussian (SE 0.004147, n=2048); this comparison uses the tell rather than the true hidden flag.",
  "interpretation": "TellLattice versus the supplied true-flag Gaussian diagnostic: -0.014659 edge (SE 0.003772, n=2048).",
  "code_zb64": 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",
  "code_sha256": "7f99ea11dfbf8c32079a2ace2bead0e96610650ba7d35aa24c6928f3566eb0e3",
  "code_archive": {
    "format": "base64(zlib(tar))",
    "sha256_of": "uncompressed tar bytes",
    "tables_included": false,
    "dependencies": "Python standard library and the pinned reference tables/rows fetched with upstream fetch.sh; no pip dependencies."
  }
}