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No partial table is substituted as an active candidate.","generated_slices":{"control":40,"ig2":40}},"coverage":{"tuning_candidate":{"completed_n":256,"completed_ranges":[[65000,65255]],"missing_ranges":[]},"confirmation_candidate":{"completed_n":256,"completed_ranges":[[65256,65511]],"missing_ranges":[]},"holdout_candidate":{"completed_n":2048,"completed_ranges":[[10000,12047]],"missing_ranges":[]},"holdout_fresh_thr09":{"completed_n":2048,"completed_ranges":[[10000,12047]],"missing_ranges":[]}},"paired":{"tuning_vs_thr09":{"paired":{"n":256,"mean_diff":-0.02318296365364869,"se":0.02093750988271068,"sum":-5.934838695334065,"sumsq":28.754989165148483,"worst5":[[65189,-1.5554011717431422],[65169,-1.108411007341033],[65026,-0.9226900604421644],[65178,-0.9220338325850435],[65207,-0.8787776953336106]],"seed_ranges":[[65000,65255]]},"arms_on_common_seeds":{"candidate":{"n":256,"seed_ranges":[[65000,65255]],"first":1814193,"misread":517611,"first_trade_misread_rate":0.2853119816910329,"price_error_n":2844821,"price_error_sum_sq_bps2":499548937.9829359,"price_rms_bps":13.251393404604084,"mean_edge":533.9808177047709},"reference":{"n":256,"seed_ranges":[[65000,65255]],"first":1812930,"misread":523301,"first_trade_misread_rate":0.28864931354216655,"price_error_n":2840030,"price_error_sum_sq_bps2":502636850.3030871,"price_rms_bps":13.303493409878591,"mean_edge":534.0040006684245}}},"confirmation_vs_thr09":{"paired":{"n":256,"mean_diff":0.012251052753342817,"se":0.020029099040172922,"sum":3.136269504855761,"sumsq":26.226461292962416,"worst5":[[65300,-0.9407951354422721],[65445,-0.8567304377480696],[65420,-0.7873271078055382],[65323,-0.7657910965708083],[65427,-0.6543899120836159]],"seed_ranges":[[65256,65511]]},"arms_on_common_seeds":{"candidate":{"n":256,"seed_ranges":[[65256,65511]],"first":1809610,"misread":515807,"first_trade_misread_rate":0.2850376600482977,"price_error_n":2831592,"price_error_sum_sq_bps2":493638226.0810993,"price_rms_bps":13.203499494653498,"mean_edge":532.4355814043591},"reference":{"n":256,"seed_ranges":[[65256,65511]],"first":1807623,"misread":521367,"first_trade_misread_rate":0.2884268456420393,"price_error_n":2826325,"price_error_sum_sq_bps2":495801286.76017696,"price_rms_bps":13.244719793612889,"mean_edge":532.4233303516058}}},"holdout_vs_fresh_thr09":{"paired":{"n":2048,"mean_diff":0.004574699316045344,"se":0.006957576005825178,"sum":9.368984199260865,"sumsq":202.98101807044998,"worst5":[[10387,-1.4095236774106752],[10822,-1.2502578018888926],[11256,-1.1684726383014095],[11795,-1.0415032304330225],[10217,-1.0208278794211765]],"seed_ranges":[[10000,12047]]},"arms_on_common_seeds":{"candidate":{"n":2048,"seed_ranges":[[10000,12047]],"first":14485317,"misread":4136575,"first_trade_misread_rate":0.285570208784523,"price_error_n":22677185,"price_error_sum_sq_bps2":3971600443.9392467,"price_rms_bps":13.233910821454119,"mean_edge":534.1483909932879},"reference":{"n":2048,"seed_ranges":[[10000,12047]],"first":14472181,"misread":4180058,"first_trade_misread_rate":0.28883400504733875,"price_error_n":22636622,"price_error_sum_sq_bps2":3990446776.5684752,"price_rms_bps":13.277152756808208,"mean_edge":534.1438162939719}}},"holdout_vs_lattice_qm":{"paired":{"n":2048,"mean_diff":0.3274666191265365,"se":0.011246587386318539,"sum":670.6516359711468,"sumsq":749.8765752867909,"worst5":[[10942,-2.1381024757044997],[11487,-2.1215915153937885],[10982,-1.500248313499469],[11651,-1.3703113446559883],[10822,-1.361556277128102]],"seed_ranges":[[10000,12047]]},"arms_on_common_seeds":{"candidate":{"n":2048,"seed_ranges":[[10000,12047]],"first":14485317,"misread":4136575,"first_trade_misread_rate":0.285570208784523,"price_error_n":22677185,"price_error_sum_sq_bps2":3971600443.9392467,"price_rms_bps":13.233910821454119,"mean_edge":534.1483909932879},"reference":{"n":2048,"seed_ranges":[[10000,12047]],"first":14315685,"misread":2322695,"first_trade_misread_rate":0.162248261260289,"price_error_n":22263118,"price_error_sum_sq_bps2":4143769057.6884427,"price_rms_bps":13.64283973652866,"mean_edge":533.8209243741613}}}},"attribution":{"inherited_threshold_gain_from_brief":0.322892,"incremental_gain":"Use holdout_vs_fresh_thr09, which compares IG2 against the same threshold .9; do not credit the inherited threshold improvement to IG2.","reference_gain":"holdout_vs_lattice_qm directly pairs against the supplied threshold-.5 reference on its common seeds.","selection":"One preregistered variant only. No holdout retuning, posterior shortlist, kappa sweep, or threshold change.","fresh_thr09_vs_lattice_qm":{"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]],"seed_ranges":[[10000,12047]]}},"checks":{"fetch":"26 files fetched; zero SHA256 mismatches","regenerated_control_callbacks":{"qm":"qm_k1e-5.json","seeds":[65000,65003],"callbacks":46240,"active_acceleration":true,"max_fee_error_bps":0,"full_state_exact":true,"hidden_scramble_exact":true,"disabled_change_equivalence":"same table and thr=.9, pure/accelerated policies exact"},"candidate_callbacks":{"qm":"ig2_qm.json","seeds":[65000,65003],"callbacks":46304,"active_acceleration":true,"max_fee_error_bps":0,"full_state_exact":true,"hidden_scramble_exact":true,"disabled_change_equivalence":"same table and thr=.9, pure/accelerated policies exact"},"table_comparison":[{"path":"control_qm.json","sha256":"afeab9ec765609bc466d8631444afb2caa283c2bbf7c24de078e9f97511e33c2","compared_scalar_offsets":1073424,"changed_scalar_offsets":0,"max_offset_change_bps":0.0,"rms_offset_change_bps":0.0},{"path":"ig2_qm.json","sha256":"8089dec083acc744e163c657ad4bc4e016f8f8fd172ce99c1318e834803eb168","compared_scalar_offsets":1073424,"changed_scalar_offsets":544992,"max_offset_change_bps":49.36,"rms_offset_change_bps":0.8624979594462182}],"resume":{"checkpoint_intervals":1,"sweeps":3,"max_errors":{"VD0":0.0,"VN0":0.0,"VN2":0.0},"gain_exact":true,"grid":"NW=5 NA=3; other parameters unchanged"},"small_backend":{"NW":5,"NA":3,"passive_value_entries":4995,"VN_max_error":0.0,"qtab_max_error":1.0408340855860843e-17,"note":"Plain stdlib vs optional numpy/numba; phase 1 clipped-rival IG2 kernel. Full-grid stdlib parity/runtime unmeasured."},"independent_overlap_integral":[{"s":0,"a":20,"b":30,"pinned_midpoint":1.6098408006615001,"independent":1.6592674045550453,"absolute_error":0.04942660389354514,"ideal":10.507033215276195,"overlap":8.84776581072115,"zero_overlap_error":0.0},{"s":12,"a":30,"b":30,"pinned_midpoint":9.70377157733014,"independent":9.839101263687361,"absolute_error":0.13532968635722042,"ideal":64.68335308139166,"overlap":54.8442518177043,"zero_overlap_error":0.0},{"s":34,"a":5,"b":45,"pinned_midpoint":855.6573874295142,"independent":855.6846318962496,"absolute_error":0.0272444667353966,"ideal":1159.1154635476144,"overlap":303.43083165136477,"zero_overlap_error":0.0},{"s":8,"a":-10,"b":35,"pinned_midpoint":121.42934071467455,"independent":121.43523866947334,"absolute_error":0.005897954798783189,"ideal":147.27466297395108,"overlap":25.839424304477745,"zero_overlap_error":0.0},{"s":20,"a":-10,"b":5,"pinned_midpoint":489.3025,"independent":489.3025,"absolute_error":0.0,"ideal":489.3025,"overlap":0.0,"zero_overlap_error":0.0}],"quadrature_refinement":[{"s":0,"a":20,"b":30,"fine":1.659267411642876,"delta_step_001_to_0005_bps2":7.087830766749903e-09,"delta_upper_200_to_400_bps2":0.0},{"s":12,"a":30,"b":30,"fine":9.839101273228195,"delta_step_001_to_0005_bps2":9.540833900700818e-09,"delta_upper_200_to_400_bps2":0.0},{"s":34,"a":5,"b":45,"fine":855.6846318994928,"delta_step_001_to_0005_bps2":3.243258106522262e-09,"delta_upper_200_to_400_bps2":0.00016286920083530276},{"s":8,"a":-10,"b":35,"fine":121.43523866991154,"delta_step_001_to_0005_bps2":4.38205915997969e-10,"delta_upper_200_to_400_bps2":0.0},{"s":20,"a":-10,"b":5,"fine":489.3025,"delta_step_001_to_0005_bps2":0.0,"delta_upper_200_to_400_bps2":0.0}],"scalar_IG2_and_zero_overlap":[{"sd":0.0,"scalar_vs_numpy_max_bps2":3.552713678800501e-14,"zero_overlap_vs_continuous_ideal_max_bps2":5.243521172815235e-10,"ig2_min":-1.73727116920887e-15,"ig2_max":89.30249999999998,"ambiguity_never_increases_information":true,"zero_overlap_vs_original_discrete_max_bps2":13.567204586363722},{"sd":12.0,"scalar_vs_numpy_max_bps2":1.8474111129762605e-13,"zero_overlap_vs_continuous_ideal_max_bps2":1.6031549421313684e-09,"ig2_min":-1.6074067660214694e-14,"ig2_max":233.30249999999998,"ambiguity_never_increases_information":true,"zero_overlap_vs_original_discrete_max_bps2":22.42853664123045},{"sd":34.0,"scalar_vs_numpy_max_bps2":8.526512829121202e-13,"zero_overlap_vs_continuous_ideal_max_bps2":7.2784587246133015e-09,"ig2_min":-1.71949455999337e-13,"ig2_max":1245.3024999999998,"ambiguity_never_increases_information":true,"zero_overlap_vs_original_discrete_max_bps2":51.79231315224581}],"source_quotes_verified":12,"unchanged_pair_py_validation":{"fresh_thr09":{"pair_py":{"n":2048,"mean_diff":0.0046,"se":0.007,"worst5":[[10387,-1.41],[10822,-1.25],[11256,-1.168],[11795,-1.042],[10217,-1.021]]},"sum":9.368984199260865,"sumsq":202.98101807044998,"raw_statistics_match_pair_py":true},"lattice_qm":{"pair_py":{"n":2048,"mean_diff":0.3275,"se":0.0112,"worst5":[[10942,-2.138],[11487,-2.122],[10982,-1.5],[11651,-1.37],[10822,-1.362]]},"sum":670.6516359711468,"sumsq":749.8765752867909,"raw_statistics_match_pair_py":true}},"packaged_stdlib":{"archive_sha_verified":true,"backend_check_bit_exact_to_original":true,"checkpoint_resume_check_bit_exact":true},"initial_baseline_check":{"seeds":[65000,65015],"n":16,"role":"early unchanged-baseline check; excluded from official paired arms to avoid duplicate seeds"},"control_metadata_gain_difference":1.7763568394002505e-15,"control_metadata_note":"Raw JSON hashes differ because of an unused g value; all quote offsets and control callbacks match exactly.","solved_table_control":{"all_six_solved_tables_max_offset_error_bps":{"A0":0.0,"B0":0.0,"A1":0.0,"B1":0.0,"A2":0.0,"B2":0.0},"supplied_gain":536.8206098114493,"regenerated_gain":536.8206098114671}},"approximation_errors":{"IG2_model_mismatch":"IG2 uses a continuous Gaussian/truncated-normal ideal component; igtab uses a discretized 5-bps Gaussian. At rho=0 they are not identical. Therefore this exact requested IG2 switch includes that quadrature/model difference as well as overlap subtraction. No performance ablation or parameter selection was used to separate them.","other_model_limits":"Moment-matched Gaussian IG prior, fixed .26 per-side retail rate and lognormal own-fill law, finite d<=200 bps integration, no joint phase/rival posterior or exact router likelihood. QMDP passive values assume subsequent perfect-information decisions. Same inherited lattice window, 3-sigma belief quadrature, interpolation and clipping.","rounding":"QM offsets rounded to .01 bps per original generator; action rounding is at most .005 bps before fee interpolation. Off-grid argmax is not required to commute with interpolation.","scalar_backend":"Only small-grid DP/QMDP parity and selected full IG matrices were tested; not a proof of every full-grid fallback argmax.","misread_interpretation":"The fixed .9 classifier has a different decision threshold from the lattice reference (.5); compare 0/1 misread rates by arm rather than treating them as a common classifier error floor."},"cost":{"incremental_runtime_operations":0,"incremental_persistent_slots":0,"table_scalar_offsets":1073424,"gas_estimate":{"label":"structural estimate only; no EVM measurement","incremental_algorithm_gas":0,"total_gas":null,"qualification":"Same lookup/filter code and dimensions; assumes same callback branch path. Value-dependent storage costs, changed trajectories and compressed encoding effects are unmeasured."},"offline_cost":"IG2 adds two 400-node overlap quadratures per quote pair per sd level; no overlap integral runs in on_trade.","scope":"Incremental policy change only; optional CPU acceleration excluded from Solidity cost."},"limitations":["Replica only; no engine, Solidity port, measured gas or board submission.","Missing seed ranges are explicit; no imputation and no unchanged fallback scored as a candidate.","Raw large VN tables and traces are not shipped; the resumable generator and all policy/test source are shipped.","Full score reproduction requires the pinned reference input files in advance; large reference tables and calibration rows are excluded from the source archive as requested. Regeneration and the standalone stdlib kernel checks require no network."],"promotion":{"recommend_port":false,"required_incremental_gain":0.3,"observed_incremental_gain":0.004574699316045344,"basis":"Incremental versus fresh unchanged thr=.9, excluding inherited threshold gain. Complete holdout required."},"code_encoding":"base64(zlib(tar)); SHA256 is over uncompressed tar; deterministic metadata; no submodules or required third-party package","reproducibility":{"instructions":"REPRODUCE.md in source tar","plain_python_path":"offline.py + plainbackend.py; build_variant.py automatically falls back to scalar IG2 and stdlib arrays. Policy callbacks fall back to original ThrLattice.","optional_acceleration":"numpy 2.5.4 / numba 0.68.1 were installed in disposable scratch only. They are optional, not a dependency of the delivered plain path. Diffusion acceleration passed recorded-callback parity."},"holdout_protocol":"One frozen table, one scoring pass per active seed 10000..12047; fixed consecutive chunks. No performance-based stopping or 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","code_sha256_uncompressed_tar":"825fd13de61872db0449159e107d092d31d83c210210c5464f987cdd055c5117","code_tar_bytes":11264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