{
  "key": "gap-1",
  "n_seeds": 512,
  "seed_start": 60000,
  "seed_end": 60511,
  "variants": [
    {
      "name": "flag",
      "inputs": "afterSwap inputs + true arb/retail flag at every own callback; price, rival and count inferred",
      "mean_vs_lattice": 2.715303473873127,
      "se": 0.04188292779275235,
      "sum": 1390.235378623041,
      "sumsq": 4233.860480777906,
      "misread_rate": 0.0,
      "price_rms_bps": 7.101866843935367
    },
    {
      "name": "price_first",
      "inputs": "afterSwap inputs + true price at the first own callback of each step including timestamp zero, AFTER flag inference; flag, rival and count inferred",
      "mean_vs_lattice": 3.9265000327569965,
      "se": 0.04776923958174737,
      "sum": 2010.3680167715822,
      "sumsq": 8490.72820997237,
      "misread_rate": 0.09263921854774905,
      "price_rms_bps": 0.0
    },
    {
      "name": "price_all",
      "inputs": "afterSwap inputs + true price at every own callback, AFTER flag inference; flag, rival and count inferred",
      "mean_vs_lattice": 3.9265000327569965,
      "se": 0.04776923958174737,
      "sum": 2010.3680167715822,
      "sumsq": 8490.72820997237,
      "misread_rate": 0.09263921854774905,
      "price_rms_bps": 0.0
    },
    {
      "name": "rival",
      "inputs": "afterSwap inputs + true post-event rival spot at every own callback; price, flag and count inferred",
      "mean_vs_lattice": 0.4669237842752939,
      "se": 0.022819964983959485,
      "sum": 239.06497754895048,
      "sumsq": 247.8701977994702,
      "misread_rate": 0.1623466135602547,
      "price_rms_bps": 13.507794684645013
    },
    {
      "name": "flag_rival",
      "inputs": "afterSwap inputs + true arb/retail flag and true post-event rival spot; price and count inferred",
      "mean_vs_lattice": 2.946859873239766,
      "se": 0.04449424004286545,
      "sum": 1508.7922550987603,
      "sumsq": 4964.162008255319,
      "misread_rate": 0.0,
      "price_rms_bps": 7.042265319038807
    },
    {
      "name": "flag_phase",
      "inputs": "afterSwap inputs + true arb/retail flag and global retail order index j, including rival-only orders; price and rival inferred",
      "mean_vs_lattice": 2.726020406970222,
      "se": 0.04202869741347005,
      "sum": 1395.7224483687537,
      "sumsq": 4266.917625765688,
      "misread_rate": 0.0,
      "price_rms_bps": 7.096045637757631
    },
    {
      "name": "perfect",
      "inputs": "run.py perfect / evalpol.DPPolicy: true price, rival, flag and global retail order index; pol_mid.json, not qm",
      "mean_vs_lattice": 4.422292001975044,
      "se": 0.052446110465258315,
      "sum": 2264.2135050112224,
      "sumsq": 10732.656814966658,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0
    }
  ],
  "decomposition": "On these 512 tuning seeds the perfect-minus-lattice gap is 4.422292: true flag alone recovers 2.715303 (61.40%); adding true price given the flag recovers 1.482968; adding exact rival and global phase/count jointly after flag+price changes edge by +0.198392; replacing qm with the perfect policy tables contributes +0.025629. This sequential bridge sums to the measured gap. Separately, conditional on true flag but estimated price, true rival adds +0.231556 and true phase/count adds +0.010717; these overlapping counterfactuals must not be summed. Better inference from afterSwap could reduce flag errors and price uncertainty and exploit split-order rival identities, but these experiments establish information values, not attainable gains: exact price between arb pins, a rival-only reserve change, and the global count of orders missing our pool are not directly observable. Prioritize flag inference first, then price estimation conditional on no arb; rival/count improvements are smaller on this sample.",
  "baseline": {
    "name": "lattice",
    "inputs": "afterSwap inputs only; unmodified latt.LatticePolicy with qm_k1e-5.json",
    "mean_edge": 529.8697920737802,
    "misread_rate": 0.16209162601204433,
    "price_rms_bps": 13.642136347233969,
    "first_callbacks": 3567655,
    "misread_callbacks": 578287,
    "price_callbacks": 5532899,
    "price_squared_error_bps2": 1029716125.9204212
  },
  "supplemental_variants": [
    {
      "name": "flag_price",
      "inputs": "supplement: afterSwap inputs + true flag and true price at every callback; rival and count inferred",
      "mean_vs_lattice": 4.198271181532423,
      "se": 0.04738853218241437,
      "sum": 2149.5148449446006,
      "sumsq": 9611.786141539304,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0
    },
    {
      "name": "all_qm",
      "inputs": "supplement: afterSwap inputs + true price, rival, flag and global retail order index; qm table family retained",
      "mean_vs_lattice": 4.396663083596894,
      "se": 0.05002314842234116,
      "sum": 2251.0914988016098,
      "sumsq": 10551.976667578601,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0
    }
  ],
  "contrasts": {
    "flag": {
      "n": 512,
      "mean_diff": 2.715303473873127,
      "se": 0.04188292779275235,
      "sum": 1390.235378623041,
      "sumsq": 4233.860480777906,
      "worst5": [
        [
          60210,
          -4.162907334384045
        ],
        [
          60136,
          -2.306546887042714
        ],
        [
          60459,
          0.007707114655090663
        ],
        [
          60186,
          0.3101732461436768
        ],
        [
          60336,
          0.5232409295097113
        ]
      ]
    },
    "price_given_flag": {
      "n": 512,
      "mean_diff": 1.482967707659296,
      "se": 0.02674147674254329,
      "sum": 759.2794663215595,
      "sumsq": 1313.0816939562758,
      "worst5": [
        [
          60076,
          -0.46399121182491854
        ],
        [
          60193,
          0.12765895257712145
        ],
        [
          60343,
          0.14516908980169774
        ],
        [
          60315,
          0.1682095218911286
        ],
        [
          60025,
          0.18366761802178644
        ]
      ]
    },
    "rival_given_flag": {
      "n": 512,
      "mean_diff": 0.2315563993666392,
      "se": 0.016018500932885107,
      "sum": 118.55687647571926,
      "sumsq": 94.58537894377895,
      "worst5": [
        [
          60083,
          -1.015993241060528
        ],
        [
          60504,
          -0.8179909283992401
        ],
        [
          60316,
          -0.8003816007712317
        ],
        [
          60375,
          -0.7204586301713789
        ],
        [
          60047,
          -0.7048241788187397
        ]
      ]
    },
    "phase_count_given_flag": {
      "n": 512,
      "mean_diff": 0.01071693309709476,
      "se": 0.004821491815882494,
      "sum": 5.4870697457125175,
      "sumsq": 6.140906975721156,
      "worst5": [
        [
          60027,
          -0.39002241401317406
        ],
        [
          60417,
          -0.3352222267064917
        ],
        [
          60504,
          -0.33321763967239804
        ],
        [
          60332,
          -0.3260187159153247
        ],
        [
          60408,
          -0.30340783334997923
        ]
      ]
    },
    "rival_phase_joint_given_flag_price": {
      "n": 512,
      "mean_diff": 0.198391902064471,
      "se": 0.015320411067247786,
      "sum": 101.57665385700915,
      "sumsq": 81.56093920637277,
      "worst5": [
        [
          60083,
          -0.8163843389284011
        ],
        [
          60213,
          -0.747132756549604
        ],
        [
          60375,
          -0.7311400052544741
        ],
        [
          60226,
          -0.7122360701648063
        ],
        [
          60186,
          -0.5738450380509903
        ]
      ]
    },
    "perfect_minus_all_qm_table_family": {
      "n": 512,
      "mean_diff": 0.025628918378149623,
      "se": 0.012005411625042362,
      "sum": 13.122006209612607,
      "sumsq": 38.045298990970224,
      "worst5": [
        [
          60320,
          -1.1280930897987673
        ],
        [
          60374,
          -0.7705187895003291
        ],
        [
          60047,
          -0.7540165367221334
        ],
        [
          60281,
          -0.6575016587526079
        ],
        [
          60164,
          -0.5933324121604642
        ]
      ]
    },
    "price_all_minus_price_first": {
      "n": 512,
      "mean_diff": 0.0,
      "se": 0.0,
      "sum": 0.0,
      "sumsq": 0.0,
      "worst5": [
        [
          60000,
          0.0
        ],
        [
          60001,
          0.0
        ],
        [
          60002,
          0.0
        ],
        [
          60003,
          0.0
        ],
        [
          60004,
          0.0
        ]
      ]
    },
    "lattice_minus_perfect": {
      "n": 512,
      "mean_diff": -4.422292001975044,
      "se": 0.052446110465258315,
      "sum": -2264.2135050112224,
      "sumsq": 10732.656814966658,
      "worst5": [
        [
          60217,
          -8.321669382496339
        ],
        [
          60004,
          -8.141080126910992
        ],
        [
          60467,
          -7.503685186114126
        ],
        [
          60045,
          -7.472402965933384
        ],
        [
          60350,
          -7.383315711630871
        ]
      ]
    }
  },
  "measurement_details": {
    "flag": {
      "mean_edge": 532.5850955476533,
      "misread_rate": 0.0,
      "price_rms_bps": 7.101866843935367,
      "first_callbacks": 3576121,
      "misread_callbacks": 0,
      "price_callbacks": 5535955,
      "price_squared_error_bps2": 279214264.4924502
    },
    "price_first": {
      "mean_edge": 533.7962921065372,
      "misread_rate": 0.09263921854774905,
      "price_rms_bps": 0.0,
      "first_callbacks": 3576930,
      "misread_callbacks": 331364,
      "price_callbacks": 5536833,
      "price_squared_error_bps2": 0.0
    },
    "price_all": {
      "mean_edge": 533.7962921065372,
      "misread_rate": 0.09263921854774905,
      "price_rms_bps": 0.0,
      "first_callbacks": 3576930,
      "misread_callbacks": 331364,
      "price_callbacks": 5536833,
      "price_squared_error_bps2": 0.0
    },
    "rival": {
      "mean_edge": 530.3367158580555,
      "misread_rate": 0.1623466135602547,
      "price_rms_bps": 13.507794684645013,
      "first_callbacks": 3587263,
      "misread_callbacks": 582380,
      "price_callbacks": 5572648,
      "price_squared_error_bps2": 1016788236.4905174
    },
    "flag_rival": {
      "mean_edge": 532.81665194702,
      "misread_rate": 0.0,
      "price_rms_bps": 7.042265319038807,
      "first_callbacks": 3594224,
      "misread_callbacks": 0,
      "price_callbacks": 5573053,
      "price_squared_error_bps2": 276387208.54622865
    },
    "flag_phase": {
      "mean_edge": 532.5958124807504,
      "misread_rate": 0.0,
      "price_rms_bps": 7.096045637757631,
      "first_callbacks": 3577497,
      "misread_callbacks": 0,
      "price_callbacks": 5538941,
      "price_squared_error_bps2": 278907080.1183396
    },
    "lattice": {
      "mean_edge": 529.8697920737802,
      "misread_rate": 0.16209162601204433,
      "price_rms_bps": 13.642136347233969,
      "first_callbacks": 3567655,
      "misread_callbacks": 578287,
      "price_callbacks": 5532899,
      "price_squared_error_bps2": 1029716125.9204212
    },
    "perfect": {
      "mean_edge": 534.2920840757553,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0,
      "first_callbacks": 3544218,
      "misread_callbacks": 0,
      "price_callbacks": 5459224,
      "price_squared_error_bps2": 0.0
    },
    "flag_price": {
      "mean_edge": 534.0680632553126,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0,
      "first_callbacks": 3575870,
      "misread_callbacks": 0,
      "price_callbacks": 5532862,
      "price_squared_error_bps2": 0.0
    },
    "all_qm": {
      "mean_edge": 534.2664551573771,
      "misread_rate": 0.0,
      "price_rms_bps": 0.0,
      "first_callbacks": 3594965,
      "misread_callbacks": 0,
      "price_callbacks": 5571668,
      "price_squared_error_bps2": 0.0
    }
  },
  "notes": "Oracle diagnostics only, not deployable policies or board predictions. Pure Python replica, PROCS=8; 128-seed commands; measurement seeds 60000..60511; extra tuning-only checks 60512..60516. No 10000..12047 simulation or evaluation. All six requested variants use qm_k1e-5.json. Price pins occur after current flag inference and persist; price_first includes the initial timestamp-zero callback. Flag variants also obey the true flag at timestamp zero. True rival uses synced lookup mode. Misread rate pools first own callbacks with dt>=1; price RMS pools log-price error in bps over all own callbacks. Perfect has zero errors by construction. SE is sample SD of paired per-seed edge differences divided by sqrt(n); sums pool across blocks. Supplements isolate price given flag and the table-family remainder. Sources tar includes the oracle module, runner, summarizer and unchanged reference Python dependencies and paired-difference audit data rounded to 1e-7; reproduce beside the two SHA256-verified pinned JSON tables from the supplied solved folder. No external Python packages or fast runner used.",
  "evidence": {
    "file": "paired_deltas.i32le",
    "format": "little-endian signed int32, seed-major then variant-major",
    "scale": 1e-07,
    "max_abs_rounding_error": 5e-08,
    "seed_start": 60000,
    "n_seeds": 512,
    "variants": [
      "flag",
      "price_first",
      "price_all",
      "rival",
      "flag_rival",
      "flag_phase",
      "perfect",
      "flag_price",
      "all_qm"
    ]
  },
  "code_zb64": 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",
  "code_sha256": "7d1256dae54b56795aeb6e94cc8068a86f2a72c3ce92ce221e501253a0e248e4",
  "input_sha256": {
    "pol_mid.json": "efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b",
    "qm_k1e-5.json": "5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd"
  }
}