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not a measurement in this item","fresh_threshold_gain":"holdout.fresh_thr09_vs_ref_lattice_qm","promotion_bar_incremental":0.3,"promotion":"Does not meet incremental +.3 mean bar on holdout"},"checks":{"unpacked_offline_plain_checks":"Integration and synthetic qtab outputs exactly match local originals without optional packages.","gates":"All 12 published edge values matched to six decimals (reference policies only).","disabled_regenerated_control_callbacks":[{"seed":65000,"callbacks":12205,"max_fee_difference_bps":0.0,"hidden_scramble_exact":true,"replay_sha256":"2d9b5a0721e3129423803135126ddaf31ea8f7d27629e750db9cedb78e38b001"},{"seed":65001,"callbacks":9305,"max_fee_difference_bps":0.0,"hidden_scramble_exact":true,"replay_sha256":"7c1240106d23257366bddfac819d6d1303cb326d8734de3b71d8f064d6825630"}],"active_hidden_scramble_and_replay":[{"seed":65000,"callbacks":12244,"max_fee_difference_bps":0.0,"hidden_scramble_exact":true,"replay_sha256":"338706fa746db2c00fa0d0ca0817197463d3c5e02836f8402643ace0ac1d5423"},{"seed":65001,"callbacks":9329,"max_fee_difference_bps":0.0,"hidden_scramble_exact":true,"replay_sha256":"20b3be1c5a684e58f33ff3fabcd0ad615eed1f9b1c044d46237577ca0abdcb7f"}],"diffusion_callback_parity_control":{"table":"qm_k1e-5.json","seed":65002,"callbacks":11967,"has_fast":true,"max_fee_error_bps":0.0,"max_belief_error":0.0},"diffusion_callback_parity_IG2":{"table":"qm_ig2.json","seed":65002,"callbacks":11961,"has_fast":true,"max_fee_error_bps":0.0,"max_belief_error":0.0},"plain_vs_numba_synthetic_qtab_max_errors":{"A":0.0,"B":0.0,"U":0.0},"independent_overlap_integration":{"columns":["sd","a","b","midpoint_error","mixture_identity_error","zero_overlap_error"],"cases":[[0,30,30,-0.03610462861322028,4.971614231408239e-10,0.0],[8,20,40,-0.04407924132812724,1.385612691251481e-08,0.0],[20,0,10,-0.00015893022066393314,2.1088908397359774e-11,0.0],[34,60,15,-0.1203690273553093,1.7789830053516198e-08,0.0],[12,-10,35,-0.00477137230035396,1.0379608283983544e-10,0.0],[34,150,150,-0.001146877602605123,-9.250843424624122e-10,0.0],[0,0,0,0.0,0.0,0.0]]},"kernel_scalar_parity_and_discretization":{"columns":["sd","a","b","scalar_error_bps2","continuous_ideal_minus_original_bps2"],"cases":[[0,30,30,-1.1659562204613394e-12,0.958602770191689],[8,20,40,-1.2601475418705377e-11,10.037565237519303],[20,0,10,4.755520421895199e-10,2.8398114287953717],[34,60,15,2.209390004281886e-09,37.7455418419554],[12,-10,35,6.043876510375412e-10,5.1431499949369766],[34,150,150,-1.9129142714291447e-13,0.15720362239858332],[0,0,0,0.0,0.0]]},"unchanged_files":{"run.py":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","pair.py":"16497bc5d3b596102fb0c0d7b6bf331dc788ee04c42d537e41f0578115f631db","thrpol.py":"663965707d4f20f81ab0ade8ed510742a330605fd9e889d426db1d920abc8958","dp.py":"f362ad97bf49dcc80312ced8f4785259445d615703c22d60bd7a0fc9b14f6578","qmdp.py":"63b8c35048718c37eb0a5dae9e70849fa3af257c335e4a2e3a625c833f1dc1eb"},"offgrid_argmax_commutation":"Not assumed or required; both arms use unchanged refined-table fee interpolation."},"approximation_errors":{"max_midpoint_vs_adaptive_bps2_small_cases":0.1203690273553093,"max_scalar_vs_pinned_bps2_small_cases":2.209390004281886e-09,"zero_overlap":"rho=0 gives continuous ideal-pin tau^2-ZV exactly in tested cases. It need not match original discrete igtab.","max_continuous_ideal_minus_original_bps2_small_cases":37.7455418419554,"model_mismatch":["IG2 approximates the lattice posterior by a Gaussian with matching sd.","Original igtab uses discrete 5 bps prior with finite 4-sigma support; IG2 uses continuous truncated-normal moments. Thus the switch includes a discretization difference as well as ambiguity subtraction.","IG2 fixed retail density rho=.26 and lognormal median 11.12 bps/log-sd 1.176 are approximate routing/first-arrival laws. Multiple arrivals and latent rival effects are not integrated exactly.","IG2 midpoint quadrature step .5 bps is cut at 200 bps. Negative tiny approximate information values are retained unchanged, never clipped or tuned.","IGMAX=60 saturates incentive offsets at +300 bps. Existing grids, phases, rival modes, quadratures, refinements and solver parameters remain unchanged."]},"cost":{"incremental_callback_operations":0,"incremental_persistent_slots":0,"incremental_table_cells":0,"offline_work":"Only table-generation integral changes; policy callback/filter/lookup structure is identical.","gas_estimate":{"label":"Structural incremental estimate only; not measured on EVM","incremental_gas":0,"absolute_gas":null,"scope":"Same grid dimensions, data access counts and arithmetic; byte contents and value-dependent paths can affect actual gas. Absolute lattice/table contract feasibility untested."}},"limitations":["Pure Python replica only; no engine or board entry.","No EVM gas measurement, contract implementation, or claim of reaching a board position.","Large tables, VN arrays and raw per-seed traces excluded as requested; shipped source regenerates them. Reference holdout/HA rows are pinned external evaluation data, not policy inputs.","Optional NumPy/Numba used for local generation and exact diffusion acceleration. Standard-library backend and unaccelerated policy path included; no optional binary dependency required to use the plain path.","Statistical estimates apply only to actual paired seeds shown. No missing runs or fallback candidates are imputed."],"run_ledger":{"candidate_tune.json":[65000,65255],"control_tune0.json":[65000,65127],"control_tune1.json":[65128,65255],"candidate_confirm.json":[65256,65511],"control_confirm0.json":[65256,65383],"control_confirm1.json":[65384,65511],"candidate_hold0.json":[10000,10255],"candidate_hold1.json":[10256,10511],"candidate_hold2.json":[10512,10767],"candidate_hold3.json":[10768,11023],"candidate_hold4.json":[11024,11279],"candidate_hold5.json":[11280,11535],"candidate_hold6.json":[11536,11791],"candidate_hold7.json":[11792,12047],"control_hold0.json":[10000,10255],"control_hold1.json":[10256,10511],"control_hold2.json":[10512,10767],"control_hold3.json":[10768,11023],"control_hold4.json":[11024,11279],"control_hold5.json":[11280,11535],"control_hold6.json":[11536,11791],"control_hold7.json":[11792,12047]},"code_encoding":"base64(zlib(tar)); deterministic metadata; source 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","code_sha256_uncompressed_tar":"fba31b32fb660a680edb55906598e6f3cc0ba60788336202a93e0b3f2a71e064","code_tar_bytes":122880,"sources":"sources.json","finished_utc":"2026-11-10T18:18:58.814054+00:00"}
