{"item":"fresh-2","status":"complete_negative_finding","mechanism":{"name":"fixed log-martingale drift correction","observable_basis":"Only timestamp gaps and persistent Gaussian state are needed. The pinned replica models geometric Brownian motion with log drift -sigma^2/2; base TellGauss advances variance but leaves predicted log mean unchanged. Correct mean by -SIG2/2 before each modeled prediction, including before each silent-step truncation. This is model-based prediction, not sigma learning or a tell refinement.","pretest_hypothesis":"Remove a systematic upward prediction bias and improve quote centering after arb/retail classification is almost known. Expected effect small.","one_change":"Two insertions of m -= self.drift * 0.5 * SIG2 in otherwise preserved TellGauss: silent and current prediction steps. Existing silent cap retained.","source_urls":["https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/replica2.py","https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/real.py","https://api.imdnotdead.fun/artifacts/291066f0057c627e719fb643ab7f553f8efe3a0e5e323ec02ae5096be86d028c"]},"frozen_settings":{"C":1,"soft":1,"qm":"qm_k1e-5.json","drift":1,"SIG2":8.93025e-07,"log_drift_per_modeled_step":-4.465125e-07,"settings_tested":1,"frozen_before":"first tuning test; unchanged through confirmation and holdout","tell_likelihood_r":"unchanged; a grid hit does not force arb; no threshold sweep"},"coverage":{"tune":{"candidate":[[67000,67255]],"base":[[67000,67255]],"candidate_chunks":[[67000,67007],[67008,67255]]},"confirm":{"candidate":[[67256,67511]],"base":[[67256,67511]]},"holdout":{"candidate":[[10000,12047]],"base":[[10000,12047]],"chunk_size":256,"chunks_per_arm":8,"source_reference_seeds":[[10000,12047]]},"missing_ranges":[],"duplicates_in_scored_arms":0,"scored_seed_counts":{"candidate":2560,"base":2560},"replay_not_counted_as_scored_samples":true},"paired":{"tune_vs_base":{"n":256,"mean_diff":-0.006909780548712607,"se":0.008413766581918669,"sum":-1.7689038204704275,"sumsq":4.633489774453572,"worst5":[{"seed":67010,"diff":-1.2101592965451005},{"seed":67227,"diff":-0.3070595391950519},{"seed":67204,"diff":-0.29769472588299095},{"seed":67097,"diff":-0.29491576771067685},{"seed":67190,"diff":-0.26401963217415414}]},"confirm_vs_base":{"n":256,"mean_diff":-0.008858235041741658,"se":0.006881076483569829,"sum":-2.2677081706858644,"sumsq":3.111044554010332,"worst5":[{"seed":67427,"diff":-0.4616899489442403},{"seed":67306,"diff":-0.32476108285277405},{"seed":67460,"diff":-0.3071398651703703},{"seed":67407,"diff":-0.24571766777228277},{"seed":67316,"diff":-0.22386047073905502}]},"holdout_vs_base":{"n":2048,"mean_diff":0.001971328656909993,"se":0.002622356511783355,"sum":4.037281089351666,"sumsq":28.837070661997846,"worst5":[{"seed":10217,"diff":-1.0687595496827953},{"seed":12030,"diff":-0.9433410523620296},{"seed":11344,"diff":-0.6977930211347712},{"seed":11543,"diff":-0.5894342391761143},{"seed":10850,"diff":-0.5484755765367026}]},"holdout_vs_lattice_qm":{"n":2048,"mean_diff":2.6981516473928036,"se":0.020813371702129012,"sum":5525.814573860462,"sumsq":16725.556077171066,"worst5":[{"seed":10403,"diff":-1.0815636869972423},{"seed":10578,"diff":-0.9342196569488124},{"seed":10923,"diff":-0.6843959372178006},{"seed":10387,"diff":-0.2811122293534254},{"seed":10731,"diff":-0.09263841251566873}]},"holdout_vs_flag_qm":{"n":2048,"mean_diff":-0.023785202981555953,"se":0.0027568732491314884,"sum":-48.71209570622659,"sumsq":33.021240442226585,"worst5":[{"seed":11344,"diff":-0.8848414122262511},{"seed":12030,"diff":-0.8580763499323893},{"seed":11543,"diff":-0.6965655083447473},{"seed":11172,"diff":-0.6098749813635891},{"seed":10850,"diff":-0.5106259971788631}]}},"per_arm":{"tune":{"candidate":{"n":256,"edge_mean":532.8636647704473,"first_trades":1795915,"misread_count":1126,"misread_rate":0.0006269784483118633,"price_squared_error_sum":144417167.63345695,"price_observations":2790779,"price_rms_bps":7.193606678597159},"base":{"n":256,"edge_mean":532.870574550996,"first_trades":1795958,"misread_count":1111,"misread_rate":0.0006186113483722894,"price_squared_error_sum":143988571.4855741,"price_observations":2790851,"price_rms_bps":7.182831626389899}},"confirm":{"candidate":{"n":256,"edge_mean":536.871289268654,"first_trades":1793732,"misread_count":1176,"misread_rate":0.0006556163351046868,"price_squared_error_sum":144078484.0310815,"price_observations":2786751,"price_rms_bps":7.19035747591891},"base":{"n":256,"edge_mean":536.8801475036956,"first_trades":1793824,"misread_count":1113,"misread_rate":0.0006204622081096027,"price_squared_error_sum":143893040.83701685,"price_observations":2786778,"price_rms_bps":7.185693827061884}},"holdout":{"candidate":{"n":2048,"edge_mean":536.5190760215542,"first_trades":14351324,"misread_count":9233,"misread_rate":0.0006433552750951759,"price_squared_error_sum":1157474462.8576245,"price_observations":22283659,"price_rms_bps":7.207131680026294},"base":{"n":2048,"edge_mean":536.5171046928973,"first_trades":14351249,"misread_count":9364,"misread_rate":0.0006524867626504146,"price_squared_error_sum":1157695599.6027822,"price_observations":22283388,"price_rms_bps":7.207863941200953},"ref/lattice_qm.json":{"n":2048,"edge_mean":533.8209243741613,"first_trades":14315685,"misread_count":2322695,"misread_rate":0.162248261260289,"price_squared_error_sum":4143769057.6884427,"price_observations":22263118,"price_rms_bps":13.64283973652866},"ref/flag_qm.json":{"n":2048,"edge_mean":536.5428612245357,"first_trades":14349512,"misread_count":0,"misread_rate":0.0,"price_squared_error_sum":1126879003.6271603,"price_observations":22279454,"price_rms_bps":7.1119119607811285}}},"checks":{"readme_reference_gates":{"passed":true,"seeds":[10000,10001,10002],"rows":[[448.261189,443.455598,443.522608,443.66352],[576.779199,571.463409,571.623551,571.977293],[531.886497,525.168028,525.865859,526.411631]],"columns":["perfect","gauss_plain","gauss_qm","lattice_qm"]},"callback_count":11055,"disabled_change_exact_equality":true,"deterministic_replay":true,"hidden_input_scrambling":true,"scrambled_fields":["arb","p","s2","j"],"public_stream":"TellGauss seed 67000 callbacks; diagnostics only, not additional scored samples","effect_nonzero":true,"six_input_signature":"(self, is_buy, ax, ay, t, x, y)","base_sha256":"6d65cd387bbf2eef8eb48a695cf7e977777080e81e550abb0fcd71209186f0ee","policy_sha256":"f26f8e2d977e9a16a77e5cfa1d0a08b6ab0e89ce29edc52c9ddfe23f8ef3d5bf","unchanged_run":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","unchanged_pair":"16497bc5d3b596102fb0c0d7b6bf331dc788ee04c42d537e41f0578115f631db","unchanged_pair_py_runs":[{"comparison":"tune","output":"candidate                    n 256  edge  532.864 retail  557.947 arb -25.083 rv  78925 av  23933  misread 0.06%  p rms 7.2 bps\nreference                    n 256  edge  532.871 retail  557.943 arb -25.072 rv  78927 av  23930  misread 0.06%  p rms 7.2 bps\n{\"paired\": {\"n\": 256, \"mean_diff\": -0.0069, \"se\": 0.0084, \"worst5\": [[67010, -1.21], [67227, -0.307], [67204, -0.298], [67097, -0.295], [67190, -0.264]]}}"},{"comparison":"confirm","output":"candidate                    n 256  edge  536.871 retail  564.317 arb -27.446 rv  78893 av  23964  misread 0.07%  p rms 7.2 bps\nreference                    n 256  edge  536.880 retail  564.326 arb -27.446 rv  78893 av  23963  misread 0.06%  p rms 7.2 bps\n{\"paired\": {\"n\": 256, \"mean_diff\": -0.0089, \"se\": 0.0069, \"worst5\": [[67427, -0.462], [67306, -0.325], [67460, -0.307], [67407, -0.246], [67316, -0.224]]}}"},{"comparison":"holdout_vs_base","output":"candidate                    n 2048  edge  536.519 retail  565.599 arb -29.080 rv  78923 av  23922  vs HA +6.962 se 0.044  misread 0.06%  p rms 7.2 bps\nreference                    n 2048  edge  536.517 retail  565.597 arb -29.080 rv  78923 av  23922  vs HA +6.960 se 0.044  misread 0.07%  p rms 7.2 bps\n{\"paired\": {\"n\": 2048, \"mean_diff\": 0.002, \"se\": 0.0026, \"worst5\": [[10217, -1.069], [12030, -0.943], [11344, -0.698], [11543, -0.589], [10850, -0.548]]}}"},{"comparison":"holdout_vs_lattice","output":"candidate                    n 2048  edge  536.519 retail  565.599 arb -29.080 rv  78923 av  23922  vs HA +6.962 se 0.044  misread 0.06%  p rms 7.2 bps\nreference                    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\n{\"paired\": {\"n\": 2048, \"mean_diff\": 2.6982, \"se\": 0.0208, \"worst5\": [[10403, -1.082], [10578, -0.934], [10923, -0.684], [10387, -0.281], [10731, -0.093]]}}"},{"comparison":"holdout_vs_flag","output":"candidate                    n 2048  edge  536.519 retail  565.599 arb -29.080 rv  78923 av  23922  vs HA +6.962 se 0.044  misread 0.06%  p rms 7.2 bps\nreference                    n 2048  edge  536.543 retail  565.610 arb -29.067 rv  78915 av  23917  vs HA +6.985 se 0.044  misread 0.00%  p rms 7.1 bps\n{\"paired\": {\"n\": 2048, \"mean_diff\": -0.0238, \"se\": 0.0028, \"worst5\": [[11344, -0.885], [12030, -0.858], [11543, -0.697], [11172, -0.61], [10850, -0.511]]}}"}]},"cost":{"status":"estimated, not EVM measured","incremental_persistent_state_slots":0,"python_control_field":"one fixed drift switch; compile away in Solidity","incremental_arithmetic":"One fixed-constant subtraction per modeled step, at most 13 per callback. Product is constant-foldable.","estimated_incremental_evm_gas":{"range":[3,300],"basis":"At most 13 arithmetic subtractions plus loop-local fixed-point bookkeeping; rough engineering estimate only. Real gas depends on port and representation."},"table_size_change_bytes":0,"solidity_port":false},"conclusion":"No detectable incremental gain over TellGauss; retain base. Comparisons with lattice and flag are context, not newly attributed gains. No board claim.","limitations":["Only pure-Python replica tested; no engine run, Solidity port, board entry or gas measurement.","Known fixed drift is a model-consistency correction; base per-run sigma uncertainty and 12-silent-step cap remain.","The inherited soft policy retains its existing .995 moment-handling cutoff; grid hits still use the likelihood r and never unconditionally pin the arb flag.","Replay/scrambling use a fixed public callback stream; they establish input isolation and determinism, not economic optimality.","Tables and raw per-seed scores are omitted from this size-limited JSON. Exact pinned table recovery and all scoring commands are bundled. Network is required for first recovery unless inputs are pre-provisioned; no claim of a standalone offline artifact.","Algorithmic table regeneration source and commands included; optional numpy/numba dependencies are not bundled. Regeneration was not executed or certified byte-identical.","Nothing fabricated; no missing scored ranges."],"code_format":"base64(zlib(USTAR)); no tables; paths relative to extraction directory","code_zb64":"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","uncompressed_tar_sha256":"a2298743a8f796c2991e0f32d8eeec4d6416e72a6343f682091c2bf3b18b6aa2","policy_source_sha256":"f26f8e2d977e9a16a77e5cfa1d0a08b6ab0e89ce29edc52c9ddfe23f8ef3d5bf","base_source_sha256":"6d65cd387bbf2eef8eb48a695cf7e977777080e81e550abb0fcd71209186f0ee","archive_files":["tellpol.py","driftpol.py","real.py","replica2.py","evalpol.py","run.py","pair.py","par.py","latt.py","gates.py","dp.py","qmdp.py","check_drift.py","drift_checks.json","reproduce_drift.py","summarize_drift.py","REPRODUCE.txt","mechanism.txt"],"reproduction":"Extract archive; read REPRODUCE.txt. reproduce_drift.py fetch verifies exact pinned inputs; score runs unchanged run.py with 470s subprocess limits; pair uses unchanged pair.py. check_drift.py independently checks disabled/replay/scrambling.","input_hashes":{"qm_k1e-5.json":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","pol_mid.json":"efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b","ref/lattice_qm.json":"3971e970ebcfeb053b1d747045aed3dbad164ca43008b1985b62daaeb20d9e44","ref/flag_qm.json":"d7cd7270ddb0407c33d2e509483d5e042375a44cbeac0d36def1e8fbb4a0200b","run.py":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","pair.py":"16497bc5d3b596102fb0c0d7b6bf331dc788ee04c42d537e41f0578115f631db"},"holdout_blocks":[{"seed_range":[10000,10255],"paired_vs_base":{"n":256,"mean_diff":-0.015017350282945374,"se":0.00784879819240967,"sum":-3.844441672434016,"sumsq":4.0792184937318074,"worst5":[{"seed":10217,"diff":-1.0687595496827953},{"seed":10230,"diff":-0.38837263730488303},{"seed":10117,"diff":-0.35605242408280446},{"seed":10007,"diff":-0.30607874947952496},{"seed":10069,"diff":-0.2519661348945874}]},"candidate":{"n":256,"edge_mean":537.1232631660546,"first_trades":1788734,"misread_count":1148,"misread_rate":0.0006417946994913722,"price_squared_error_sum":143390223.4795667,"price_observations":2767968,"price_rms_bps":7.19745964108913},"base":{"n":256,"edge_mean":537.1382805163374,"first_trades":1788752,"misread_count":1178,"misread_rate":0.000658559710904586,"price_squared_error_sum":143435587.88426948,"price_observations":2768076,"price_rms_bps":7.198457649611502},"candidate_rows_sha256":"42d390963781be5e011dc3cad048343ce18e0801ca3496d1a01cafac4e43bac0","base_rows_sha256":"03db26e44dfdb14bef183f07734a47ecc78c9b3342470c6f615b6682a4e1c7c3"},{"seed_range":[10256,10511],"paired_vs_base":{"n":256,"mean_diff":0.012365710605336977,"se":0.007534763602268496,"sum":3.165621914966266,"sumsq":3.7452645752327234,"worst5":[{"seed":10403,"diff":-0.48199120664696693},{"seed":10500,"diff":-0.44065531643968825},{"seed":10344,"diff":-0.3781784059058282},{"seed":10386,"diff":-0.2643930868936195},{"seed":10492,"diff":-0.23722106455443281}]},"candidate":{"n":256,"edge_mean":543.2922743676061,"first_trades":1801468,"misread_count":1189,"misread_rate":0.0006600172748003295,"price_squared_error_sum":145486868.92829192,"price_observations":2806111,"price_rms_bps":7.20044729082339},"base":{"n":256,"edge_mean":543.2799086570008,"first_trades":1801410,"misread_count":1148,"misread_rate":0.0006372785762264004,"price_squared_error_sum":145338777.61890846,"price_observations":2805968,"price_rms_bps":7.196965066304787},"candidate_rows_sha256":"50d3a8f8dcddac38688c1c4207cf89fe2e69979004b403d79e7de3e42ca386ed","base_rows_sha256":"f52ba2f0fae16e80c8da2357a5b0de40e75d7848d168386e6b7efdebe8497594"},{"seed_range":[10512,10767],"paired_vs_base":{"n":256,"mean_diff":0.004067363871780305,"se":0.0068220694232906135,"sum":1.041245151175758,"sumsq":3.042407528702881,"worst5":[{"seed":10578,"diff":-0.39063534075978623},{"seed":10543,"diff":-0.38853146966641816},{"seed":10520,"diff":-0.3287610546746009},{"seed":10765,"diff":-0.2571891258467076},{"seed":10555,"diff":-0.23480745175629636}]},"candidate":{"n":256,"edge_mean":533.9454741109456,"first_trades":1793968,"misread_count":1159,"misread_rate":0.0006460538872488249,"price_squared_error_sum":144069040.4251818,"price_observations":2786364,"price_rms_bps":7.190621129654968},"base":{"n":256,"edge_mean":533.9414067470739,"first_trades":1793962,"misread_count":1224,"misread_rate":0.0006822886995376714,"price_squared_error_sum":144415081.7903766,"price_observations":2786287,"price_rms_bps":7.199351051361729},"candidate_rows_sha256":"8356adff95d5426981a04850aae9a2101f1a9c2b962835c0b5741ebc8b495e42","base_rows_sha256":"8981ec374caa577e3ace7a9647e2057402d548de1546ad5d8a1ea99a715e6f6b"},{"seed_range":[10768,11023],"paired_vs_base":{"n":256,"mean_diff":-0.0036039794609414866,"se":0.0070112363518197145,"sum":-0.9226187420010206,"sumsq":3.212322467617238,"worst5":[{"seed":10850,"diff":-0.5484755765367026},{"seed":10987,"diff":-0.4545628485185489},{"seed":10996,"diff":-0.3564873832038984},{"seed":10788,"diff":-0.3223429938117306},{"seed":10897,"diff":-0.3135504149006465}]},"candidate":{"n":256,"edge_mean":529.8739467771297,"first_trades":1783593,"misread_count":1194,"misread_rate":0.000669435235504961,"price_squared_error_sum":144179988.2872265,"price_observations":2754817,"price_rms_bps":7.234459934122442},"base":{"n":256,"edge_mean":529.8775507565907,"first_trades":1783668,"misread_count":1122,"misread_rate":0.0006290408304684504,"price_squared_error_sum":143904943.713955,"price_observations":2754851,"price_rms_bps":7.227511640018888},"candidate_rows_sha256":"d03f936711072ca50d9d328bfa2db68d27bb7ebe447ee24310d761f8806d81fd","base_rows_sha256":"5946d89800b295ee14661f8fb007bc59ec8f793f6f15f1fe1b6a55d084ed23ee"},{"seed_range":[11024,11279],"paired_vs_base":{"n":256,"mean_diff":0.0045472980246266115,"se":0.006946220157851047,"sum":1.1641082943044125,"sumsq":3.1550518814887707,"worst5":[{"seed":11076,"diff":-0.4997786274373084},{"seed":11164,"diff":-0.43210751318849816},{"seed":11135,"diff":-0.35777342567018877},{"seed":11048,"diff":-0.34408131121881524},{"seed":11253,"diff":-0.298071167769308}]},"candidate":{"n":256,"edge_mean":543.4616168812641,"first_trades":1804230,"misread_count":1128,"misread_rate":0.0006251974526529323,"price_squared_error_sum":145730442.174821,"price_observations":2815195,"price_rms_bps":7.19483601744817},"base":{"n":256,"edge_mean":543.4570695832396,"first_trades":1804234,"misread_count":1169,"misread_rate":0.0006479203917008548,"price_squared_error_sum":145846371.6190283,"price_observations":2815196,"price_rms_bps":7.197695937857106},"candidate_rows_sha256":"0b8fcf2e7a6ce140f8efbf4cce2e0f0fca5ed45727dc896311f09ea069510215","base_rows_sha256":"207316be3c25fc207e48158399b058126e1bcb763dc9c4111bb7952b851decf5"},{"seed_range":[11280,11535],"paired_vs_base":{"n":256,"mean_diff":0.014236983529336111,"se":0.008307933766629002,"sum":3.6446677835100445,"sumsq":4.557629794570661,"worst5":[{"seed":11344,"diff":-0.6977930211347712},{"seed":11367,"diff":-0.34745777161242586},{"seed":11512,"diff":-0.34018019586602577},{"seed":11322,"diff":-0.32827280559672545},{"seed":11467,"diff":-0.3142571905642626}]},"candidate":{"n":256,"edge_mean":530.766770083534,"first_trades":1791217,"misread_count":1147,"misread_rate":0.0006403467586562655,"price_squared_error_sum":144291848.01900926,"price_observations":2778358,"price_rms_bps":7.20653989564621},"base":{"n":256,"edge_mean":530.7525331000046,"first_trades":1791167,"misread_count":1186,"misread_rate":0.0006621381479225555,"price_squared_error_sum":144536454.19389707,"price_observations":2778247,"price_rms_bps":7.212789720977613},"candidate_rows_sha256":"79b8b9f94fbf024a6f3cf81848ea9d71e09dde21b3559c5668508d26beb0600c","base_rows_sha256":"bd4e8ee5af8c66012379b3f01e9f7e44eef6b29172052b9acddbe499c6b6c532"},{"seed_range":[11536,11791],"paired_vs_base":{"n":256,"mean_diff":0.000147456082982389,"se":0.0070937145123819685,"sum":0.03774875724349158,"sumsq":3.284946449153776,"worst5":[{"seed":11543,"diff":-0.5894342391761143},{"seed":11686,"diff":-0.3594664990413321},{"seed":11601,"diff":-0.31073518155074},{"seed":11614,"diff":-0.29902091766280137},{"seed":11647,"diff":-0.23531300863180604}]},"candidate":{"n":256,"edge_mean":545.0555692645181,"first_trades":1805803,"misread_count":1139,"misread_rate":0.0006307443281465365,"price_squared_error_sum":146442798.47961098,"price_observations":2822419,"price_rms_bps":7.2031633934967365},"base":{"n":256,"edge_mean":545.0554218084351,"first_trades":1805793,"misread_count":1206,"misread_rate":0.0006678506340427724,"price_squared_error_sum":146531780.4811347,"price_observations":2822386,"price_rms_bps":7.20539358797871},"candidate_rows_sha256":"85e5e546f0c3b06fb35e0b60c2e5b3d7bce34fbb5c24adb397846ed013de65f2","base_rows_sha256":"11c15284b3ea9ff276de2e358896630070a999c8291a13c3cff19bd68cd1889e"},{"seed_range":[11792,12047],"paired_vs_base":{"n":256,"mean_diff":-0.0009728531148955888,"se":0.007589324269143495,"sum":-0.24905039741327073,"sumsq":3.760229471499988,"worst5":[{"seed":12030,"diff":-0.9433410523620296},{"seed":11895,"diff":-0.31123169047293686},{"seed":11843,"diff":-0.2610269974759376},{"seed":11909,"diff":-0.26079173384215437},{"seed":11964,"diff":-0.24060213621964976}]},"candidate":{"n":256,"edge_mean":528.6336935213811,"first_trades":1782311,"misread_count":1129,"misread_rate":0.0006334472491052347,"price_squared_error_sum":143883253.06391636,"price_observations":2752427,"price_rms_bps":7.230148534192628},"base":{"n":256,"edge_mean":528.6346663744961,"first_trades":1782263,"misread_count":1131,"misread_rate":0.0006345864779777171,"price_squared_error_sum":143686602.30121267,"price_observations":2752377,"price_rms_bps":7.225271610779394},"candidate_rows_sha256":"b0ee5b2896c59283630285936a17a87dc6d59da163bd744d95c9cdfb9e02c445","base_rows_sha256":"c3d9c4db2f38c963c7a3b2abf1eed5dddf606ae622c90a9e9f59d0bcee6bbee9"}]}