{
  "item": "fresh8-1",
  "track": "B",
  "status": "complete",
  "mechanism": {
    "name": "Reserve-depth normalization of table impact units",
    "causal_information": "Absolute pool depth at estimated fair price changes the impact of the fixed-Y retail size law. afterSwap reserves and the existing lattice mean determine this depth without hidden inputs.",
    "formula": "k=10000/sqrt(reserveX*reserveY*exp(m)); unchanged table lookup at (w/k,R/k,sd/k), same phase/sync; for each returned fee f, output clamp(-expm1(k*log1p(-f)),0,.1). afterInitialize remains inherited init.",
    "distinctness": "Economic unit conversion driven by reserve depth. No classifier or threshold/temperature/skew sweep, lattice refinement, density/recenter modification, rate/sigma fit, trade-size feature, fee-branch blend, history mean correction, probe, phase/rival revision, tail moments, VN shortlist, rival transition repair, IG2 bonus or continuation-edge residual.",
    "hypothesis": "Fees optimized at reference depth 10000Y may transfer better when displacements and offsets are expressed in local order-impact units.",
    "source_indices": [
      1,
      2,
      3,
      4
    ]
  },
  "frozen_settings": {
    "frozen_at_utc": "2026-11-10T13:38:30.144540+00:00",
    "candidate": "depthpol:DepthLattice",
    "settings": {
      "depth": 1,
      "thr": 0.9,
      "qm": "qm_k1e-5.json"
    },
    "candidate_sha256": "c9ce4a8e6b4593065797f77a180620bbeed4a965aa383e57b1ae85e11755069d",
    "base_sha256": "663965707d4f20f81ab0ade8ed510742a330605fd9e889d426db1d920abc8958",
    "settings_tried": [
      1
    ],
    "selection": "Only active formula; frozen without optimizing the pilot or any holdout result."
  },
  "settings_tried": [
    {
      "depth": 1,
      "description": "Only active formula. depth=0 is exclusively an equivalence control."
    }
  ],
  "actual_seed_ranges": {
    "tuning": {
      "active": [
        [
          65000,
          65255
        ]
      ],
      "base": [
        [
          65000,
          65255
        ]
      ]
    },
    "confirmation": {
      "active": [
        [
          65256,
          65511
        ]
      ],
      "base": [
        [
          65256,
          65511
        ]
      ]
    },
    "holdout": {
      "active": [
        [
          10000,
          12047
        ]
      ],
      "fresh_base": [
        [
          10000,
          12047
        ]
      ],
      "reference_lattice": [
        [
          10000,
          12047
        ]
      ]
    },
    "missing_holdout_active": [],
    "missing_holdout_fresh_base": [],
    "offline_diagnostic_seeds": [
      65000,
      65001,
      65002,
      65003,
      65004,
      65005,
      65006,
      65007,
      65008,
      65009,
      65255
    ]
  },
  "execution": {
    "harness": "Unchanged run.py and pair.py; all run.py calls used thr=.9 and qm=qm_k1e-5.json. Completed large blocks use NATIVE_DIFFUSE=1 after exact callback parity; 16-seed pilots and tuning base 240 were plain.",
    "failed_attempts": [
      {
        "arm": "active tuning",
        "requested_seed_range": [
          65016,
          65255
        ],
        "seconds_limit": 460,
        "exit": 124,
        "saved_rows": 0,
        "retry": "same range with parity-checked native convolution"
      },
      {
        "arm": "fresh base holdout",
        "requested_seed_range": [
          10000,
          10255
        ],
        "seconds_limit": 460,
        "exit": 124,
        "saved_rows": 0,
        "retry": "fresh identical base, native convolution"
      },
      {
        "arm": "fresh base holdout",
        "requested_seed_range": [
          10256,
          10511
        ],
        "seconds_limit": 460,
        "exit": 124,
        "saved_rows": 0,
        "retry": "fresh identical base, native convolution"
      }
    ],
    "no_active_holdout_retries": true,
    "no_holdout_retuning": true,
    "no_training_labels": true,
    "no_engine_or_board_entry": true,
    "harness_sha256": {
      "run.py": "54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac",
      "pair.py": "16497bc5d3b596102fb0c0d7b6bf331dc788ee04c42d537e41f0578115f631db"
    },
    "completed_scoring_blocks": [
      {
        "arm": "active",
        "index": 0,
        "seed_start": 10000,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 251
      },
      {
        "arm": "base",
        "index": 0,
        "seed_start": 10000,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 248
      },
      {
        "arm": "active",
        "index": 1,
        "seed_start": 10256,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 254
      },
      {
        "arm": "base",
        "index": 1,
        "seed_start": 10256,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 249
      },
      {
        "arm": "base",
        "index": 3,
        "seed_start": 10768,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 297
      },
      {
        "arm": "active",
        "index": 2,
        "seed_start": 10512,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 304
      },
      {
        "arm": "base",
        "index": 2,
        "seed_start": 10512,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 303
      },
      {
        "arm": "active",
        "index": 3,
        "seed_start": 10768,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 308
      },
      {
        "arm": "active",
        "index": 4,
        "seed_start": 11024,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 187
      },
      {
        "arm": "active",
        "index": 5,
        "seed_start": 11280,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 267
      },
      {
        "arm": "base",
        "index": 5,
        "seed_start": 11280,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 268
      },
      {
        "arm": "base",
        "index": 4,
        "seed_start": 11024,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 279
      },
      {
        "arm": "active",
        "index": 6,
        "seed_start": 11536,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 321
      },
      {
        "arm": "base",
        "index": 6,
        "seed_start": 11536,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 302
      },
      {
        "arm": "active",
        "index": 7,
        "seed_start": 11792,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 301
      },
      {
        "arm": "base",
        "index": 7,
        "seed_start": 11792,
        "n": 256,
        "exit_code": 0,
        "reported_wall_seconds": 281
      }
    ],
    "completed_at_utc": "2026-11-10T14:07:22.310085+00:00"
  },
  "tuning_incremental": {
    "paired": {
      "n": 256,
      "mean_diff": -0.05739044885509448,
      "se": 0.021852629683175157,
      "sum": -14.691954906904186,
      "sumsq": 32.016820929954854,
      "worst5": [
        [
          65124,
          -1.3309926382066806
        ],
        [
          65003,
          -1.1701735327920915
        ],
        [
          65032,
          -0.8964069689827738
        ],
        [
          65112,
          -0.878291259547268
        ],
        [
          65047,
          -0.8063627552445496
        ]
      ]
    },
    "candidate": {
      "n": 256,
      "mean_edge": 533.9466102195694,
      "first": 1809346,
      "misread": 522203,
      "first_trade_misread": 0.28861422856656493,
      "price_error_samples": 2832461,
      "price_rms_bps": 13.34775390585686
    },
    "reference": {
      "n": 256,
      "mean_edge": 534.0040006684245,
      "first": 1812930,
      "misread": 523301,
      "first_trade_misread": 0.28864931354216655,
      "price_error_samples": 2840030,
      "price_rms_bps": 13.303493409878591
    },
    "seed_ranges": [
      [
        65000,
        65255
      ]
    ],
    "unchanged_pair_py_output": [
      "candidate                    n 256  edge  533.947 retail  564.470 arb -30.523 rv  79306 av  24629  misread 28.86%  p rms 13.3 bps",
      "reference                    n 256  edge  534.004 retail  564.581 arb -30.577 rv  79459 av  24718  misread 28.86%  p rms 13.3 bps",
      "{\"paired\": {\"n\": 256, \"mean_diff\": -0.0574, \"se\": 0.0219, \"worst5\": [[65124, -1.331], [65003, -1.17], [65032, -0.896], [65112, -0.878], [65047, -0.806]]}}"
    ]
  },
  "confirmation_incremental": {
    "paired": {
      "n": 256,
      "mean_diff": -0.040989329052602885,
      "se": 0.022605766119519567,
      "sum": -10.493268237466339,
      "sumsq": 33.78954083021807,
      "worst5": [
        [
          65379,
          -1.430424252646958
        ],
        [
          65445,
          -0.9467317045725849
        ],
        [
          65296,
          -0.9008119730091266
        ],
        [
          65264,
          -0.8707412093868925
        ],
        [
          65273,
          -0.8170825489013396
        ]
      ]
    },
    "candidate": {
      "n": 256,
      "mean_edge": 532.3823410225532,
      "first": 1805480,
      "misread": 520924,
      "first_trade_misread": 0.288523827458626,
      "price_error_samples": 2821238,
      "price_rms_bps": 13.279455632338419
    },
    "reference": {
      "n": 256,
      "mean_edge": 532.4233303516058,
      "first": 1807623,
      "misread": 521367,
      "first_trade_misread": 0.2884268456420393,
      "price_error_samples": 2826325,
      "price_rms_bps": 13.244719793612889
    },
    "seed_ranges": [
      [
        65256,
        65511
      ]
    ],
    "unchanged_pair_py_output": [
      "candidate                    n 256  edge  532.382 retail  559.405 arb -27.023 rv  79194 av  24625  misread 28.85%  p rms 13.3 bps",
      "reference                    n 256  edge  532.423 retail  559.485 arb -27.062 rv  79289 av  24678  misread 28.84%  p rms 13.2 bps",
      "{\"paired\": {\"n\": 256, \"mean_diff\": -0.041, \"se\": 0.0226, \"worst5\": [[65379, -1.43], [65445, -0.947], [65296, -0.901], [65264, -0.871], [65273, -0.817]]}}"
    ]
  },
  "holdout_incremental_vs_fresh_thr09": {
    "paired": {
      "n": 2048,
      "mean_diff": -0.04925036813842962,
      "se": 0.008899761714514861,
      "sum": -100.86475394750386,
      "sumsq": 337.0184428853077,
      "worst5": [
        [
          11488,
          -2.397924465493986
        ],
        [
          10387,
          -1.8991033683626029
        ],
        [
          10380,
          -1.6119899487290468
        ],
        [
          11252,
          -1.3694357657127512
        ],
        [
          11935,
          -1.2990787261787773
        ]
      ]
    },
    "candidate": {
      "n": 2048,
      "mean_edge": 534.0945659258334,
      "first": 14457500,
      "misread": 4180251,
      "first_trade_misread": 0.28914065363997926,
      "price_error_samples": 22602143,
      "price_rms_bps": 13.308118667925203
    },
    "reference": {
      "n": 2048,
      "mean_edge": 534.1438162939719,
      "first": 14472181,
      "misread": 4180058,
      "first_trade_misread": 0.28883400504733875,
      "price_error_samples": 22636622,
      "price_rms_bps": 13.277152756808208
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "unchanged_pair_py_output": [
      "candidate                    n 2048  edge  534.095 retail  564.488 arb -30.394 rv  79295 av  24671  vs HA +4.537 se 0.038  misread 28.91%  p rms 13.3 bps",
      "reference                    n 2048  edge  534.144 retail  564.569 arb -30.425 rv  79371 av  24709  vs HA +4.586 se 0.038  misread 28.88%  p rms 13.3 bps",
      "{\"paired\": {\"n\": 2048, \"mean_diff\": -0.0493, \"se\": 0.0089, \"worst5\": [[11488, -2.398], [10387, -1.899], [10380, -1.612], [11252, -1.369], [11935, -1.299]]}}"
    ]
  },
  "holdout_vs_reference_lattice_qm": {
    "paired": {
      "n": 2048,
      "mean_diff": 0.2736415516720616,
      "se": 0.011736855622438048,
      "sum": 560.4178978243822,
      "sumsq": 730.8527334621119,
      "worst5": [
        [
          10942,
          -2.532232207480547
        ],
        [
          11487,
          -2.4480034255805094
        ],
        [
          11651,
          -1.5356126692809084
        ],
        [
          11380,
          -1.4661478511426367
        ],
        [
          10235,
          -1.4376569259962935
        ]
      ]
    },
    "candidate": {
      "n": 2048,
      "mean_edge": 534.0945659258334,
      "first": 14457500,
      "misread": 4180251,
      "first_trade_misread": 0.28914065363997926,
      "price_error_samples": 22602143,
      "price_rms_bps": 13.308118667925203
    },
    "reference": {
      "n": 2048,
      "mean_edge": 533.8209243741613,
      "first": 14315685,
      "misread": 2322695,
      "first_trade_misread": 0.162248261260289,
      "price_error_samples": 22263118,
      "price_rms_bps": 13.64283973652866
    },
    "seed_ranges": [
      [
        10000,
        12047
      ]
    ],
    "unchanged_pair_py_output": [
      "candidate                    n 2048  edge  534.095 retail  564.488 arb -30.394 rv  79295 av  24671  vs HA +4.537 se 0.038  misread 28.91%  p rms 13.3 bps",
      "reference                    n 2048  edge  533.821 retail  563.825 arb -30.005 rv  78273 av  24093  vs HA +4.263 se 0.039  misread 16.22%  p rms 13.6 bps",
      "{\"paired\": {\"n\": 2048, \"mean_diff\": 0.2736, \"se\": 0.0117, \"worst5\": [[10942, -2.532], [11487, -2.448], [11651, -1.536], [11380, -1.466], [10235, -1.438]]}}"
    ]
  },
  "inherited_threshold_gain": {
    "brief_value": 0.322892,
    "fresh_measurement": {
      "paired": {
        "n": 2048,
        "mean_diff": 0.3228919198104912,
        "se": 0.01069159987528695,
        "sum": 661.282651771886,
        "sumsq": 692.7408990952625,
        "worst5": [
          [
            11487,
            -1.9115248303883163
          ],
          [
            10942,
            -1.6076924222966227
          ],
          [
            10982,
            -1.4457581244053017
          ],
          [
            11380,
            -1.2365145499310302
          ],
          [
            10990,
            -1.1504964526710637
          ]
        ]
      },
      "candidate": {
        "n": 2048,
        "mean_edge": 534.1438162939719,
        "first": 14472181,
        "misread": 4180058,
        "first_trade_misread": 0.28883400504733875,
        "price_error_samples": 22636622,
        "price_rms_bps": 13.277152756808208
      },
      "reference": {
        "n": 2048,
        "mean_edge": 533.8209243741613,
        "first": 14315685,
        "misread": 2322695,
        "first_trade_misread": 0.162248261260289,
        "price_error_samples": 22263118,
        "price_rms_bps": 13.64283973652866
      },
      "seed_ranges": [
        [
          10000,
          12047
        ]
      ],
      "unchanged_pair_py_output": [
        "candidate                    n 2048  edge  534.144 retail  564.569 arb -30.425 rv  79371 av  24709  vs HA +4.586 se 0.038  misread 28.88%  p rms 13.3 bps",
        "reference                    n 2048  edge  533.821 retail  563.825 arb -30.005 rv  78273 av  24093  vs HA +4.263 se 0.039  misread 16.22%  p rms 13.6 bps",
        "{\"paired\": {\"n\": 2048, \"mean_diff\": 0.3229, \"se\": 0.0107, \"worst5\": [[11487, -1.912], [10942, -1.608], [10982, -1.446], [11380, -1.237], [10990, -1.15]]}}"
      ]
    },
    "interpretation": "Only active minus fresh thr=.9 is the new mechanism. Active minus lattice includes inherited threshold gain."
  },
  "checks": {
    "disabled_and_hidden_input_scramble_replay": {
      "disabled": {
        "callbacks": 21510,
        "max_fee_error": 0.0,
        "max_state_error": 0.0,
        "exact": true
      },
      "scramble_replay": {
        "callbacks": 24456,
        "max_fee_error": 0.0,
        "max_state_error": 0.0,
        "init_fee_error": 0.0,
        "exact": true
      }
    },
    "optional_acceleration_callback_parity": {
      "kernel_cases": 200,
      "max_cell_error": 0.0,
      "arms": {
        "ThrLattice": {
          "seeds": [
            65008,
            65009
          ],
          "callbacks": 19057,
          "max_fee_error": 0.0,
          "max_state_error": 0.0,
          "max_edge_error": 0.0,
          "exact": true
        },
        "DepthLattice": {
          "seeds": [
            65008,
            65009
          ],
          "callbacks": 19097,
          "max_fee_error": 0.0,
          "max_state_error": 0.0,
          "max_edge_error": 0.0,
          "exact": true
        }
      }
    },
    "run_py_unchanged": true,
    "pair_py_unchanged": true,
    "base_thrpol_unchanged": true,
    "candidate_hash_matches_pre_confirmation_freeze": true,
    "online_signature": "on_trade(is_buy,ax,ay,t,x,y) only; init() takes no hidden run parameters",
    "source_indices": [
      5,
      6,
      7
    ]
  },
  "approximation_errors": {
    "seeds": [
      65004,
      65005,
      65006,
      65007
    ],
    "callbacks": 49737,
    "k_range": [
      0.9249481290718633,
      1.0356810119920412
    ],
    "k_relative_estimation_rms": 0.0006592972713019373,
    "k_relative_estimation_max": 0.0036995752701195483,
    "fee_change_rms_bps": 0.4218447754997503,
    "fee_change_max_bps": 17.87518474108199,
    "conversion_roundtrip_max_bps": 1.3877787807814457e-13,
    "notes": [
      "Fee change is the active lookup versus clamped unchanged lookup evaluated at identical internal state; not two independent trajectory scores.",
      "Roundtrip error excludes fee-saturated outputs because clamping is intentional.",
      "Depth error uses truth only in an external tuning-seed diagnostic wrapper.",
      "Similarity-transform error against a freshly depth-solved DP was not measured."
    ]
  },
  "incremental_cost": {
    "literal_python_worst_case_per_callback": {
      "sqrt": 1,
      "exp": 1,
      "log1p": 2,
      "expm1": 2,
      "extra_table_lookups": 0,
      "extra_lattice_cells": 0,
      "multiply": 4,
      "divide": 4,
      "complexity": "O(1) over unchanged filter/table lookup"
    },
    "python_attributes_added": [
      "depth_active",
      "current_invariant",
      "depth_k"
    ],
    "solidity_incremental_persistent_slots_estimate": 0,
    "slot_explanation": "Depth is derived in each callback and can remain local; Python stores transient intermediate attributes for the lookup method and diagnostics. This is not a Solidity implementation.",
    "gas_estimate": {
      "label": "Unmeasured engineering estimate for added work only; not a gas benchmark",
      "range": [
        15000,
        45000
      ],
      "assumptions": "Solidity fixed-point ln/exp and sqrt helpers; literal formula, no additional storage or table reads. Existing filter/table cost excluded. Optimizing directly on table offsets may remove two log/exp pairs.",
      "total_afterSwap_gas": null
    }
  },
  "limitations": [
    "One approximate scaling formula tested; a no-gain result rejects this formula, not every use of liquidity depth.",
    "Rival fixed 30bps fee and fixed volatility break exact scale covariance.",
    "Reference tables and their clipping are reused unchanged; depth-specific dynamic programming not performed.",
    "The m estimate is uncertain, and changed fees feed back into future observed callbacks even though filter code is unchanged.",
    "Only replica scores; no Rust engine validation, Solidity port, gas measurement, or board submission.",
    "Large reference tables and score traces are deliberately omitted; reproduction requires the pinned solved folder specified in the assignment. No external Python dependency was installed."
  ],
  "conclusion": "Do not promote: this mechanism does not clear +0.3 incremental edge over the unchanged threshold base.",
  "measurement_provenance": "All performance and check values are locally measured by the shipped scripts. External sources establish the replica, harness and base semantics, not these new measurements.",
  "code_files": [
    "depthpol.py",
    "thrpol.py",
    "check_depth.py",
    "diagnose_depth.py",
    "diffuse_native.c",
    "speedup.py",
    "install_speedup.py",
    "check_native.py",
    "summarize_depth.py",
    "build_result.py",
    "reproduce_commands.py",
    "REPRODUCE.md",
    "freeze.json",
    "scoring_ledger.json",
    "checks.json",
    "native_checks.json",
    "approximation.json"
  ],
  "code_encoding": "base64(zlib(tar)), deterministic USTAR; custom source, unchanged thrpol, and small check/freeze/ledger summaries; no large tables/traces",
  "code_zb64": 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",
  "code_sha256": "5889681b062126e2c66c9e3ffbcbb84773a46d37883a1cf0d0caeba82432ce47",
  "code_sha256_target": "uncompressed tar bytes"
}