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","checks":{"base_artifact_body_sha256":"806404e8de0d3fee0641a55560fee2001cdf19cceefd05c7b23b9b486faa263f","blind_replay_seed":64000,"callbacks":9520,"diagnostic_perturbation_outputs_identical":true,"fetch":"34 files, 0 mismatched against pinned manifests","filter_only_new_step_hook":true,"integer_vectors":{"arb_read":[4661,4661],"expected_mismatches":0,"n":11856,"retail_read_as_arb":[9,7195]},"later_callbacks_no_rule":2951,"needs_flag":false,"new_steps":6569,"quadrature_errors":[[-0.008,0.0,6.988021814847978e-21],[-0.003,0.0,6.988021814847978e-20],[0,0.0,2.1811098391798234e-20],[0.003,0.0,6.268043809681823e-20],[0.008,0.0,1.164670302474663e-20]],"rival_tracking_source_unchanged":true,"rule_off":"exact full-row equality, seeds 64000..64007","run_py_unmodified":true,"serial":true,"strict_unopened_published_reference_before_freeze":false,"tell_only_import_change":true},"completed_ranges":{"BASE":[[10000,12047]],"paired":[[10000,12047]],"variant":[[10000,12047]]},"cost_estimate_unmeasured":{"extra_persistent_slots":0,"extra_runtime_bytecode_bytes_estimate":[600,1800],"note":"Estimates only; no Solidity bytecode or gas measurement.","per_new_step":"1 log, 1 sqrt, 2 erf, 2 exp; about 65 arithmetic/comparison operations per new step; existing trunc machinery. No gas measured.","slot_estimate_scope":"Port constants; reuse router_t; omit Python diagnostic band_calls","temporary_scalars_approx":18},"dependencies":{"files":{"SHA256SUMS.solved":"1eed2f29fdd75ce01be171a81517294b1dafed1df5a1caaaf11d290f9c760e6e","SHA256SUMS.tell":"28f28d8da41310b66410368e70ea7d6dccc45bc3dd26fa87cb7e7ec6d719fdc0","pol_mid.json":"efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b","qm_k1e-5.json":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","tell_qm.json":"ad382c07e6c2b3a5a8055ea767e140b7461105f29dafee69b7c1766c90d0634f"},"kind":"Stdlib only, no packages installed. Bundle: changed source, BASE, driver/check/finalizer. Fixed code/table inputs: pinned fetch, frozen hashes; large inputs are not duplicated.","research_base":"https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research"},"diagnostics":{"BASE":{"first_callbacks":14400097,"misread_count":4260,"misread_rate":0.00029583134058055305,"price_log_error_count":22377806,"price_log_error_rms_bps":7.118381544597329,"price_log_error_sumsq_bps2":1133913770.1730444},"variant":{"first_callbacks":14402098,"misread_count":3943,"misread_rate":0.00027377955628409136,"price_log_error_count":22383404,"price_log_error_rms_bps":7.114255115435008,"price_log_error_sumsq_bps2":1132882851.8452823}},"evaluation":"stdlib replica2 via unmodified run.py/Blind, PROCS=1; no engine execution","exact_rule":{"definitions":"SIG2=(0.000945)^2; r=log(stored s2h); b=-log(.997); age=max(0,tlast-router_t)+dt; u=(noise_bps*1e-4)^2+age*SIG2; V=v+u. Assume latent rival log spot R~N(r,u), independent of price prior P~N(m,v).","fixed":"Unchanged rival tracking, integer grid/chance/posterior, soft=1, a0=ainf=.35, WAD roundtrip and gamma guard. Existing rival clip sees the changed price belief. Grid hits never pin alone.","likelihood":"L(p)=Pr(p-b <= R <= p+b)=Phi((p+b-r)/sqrt(u))-Phi((p-b-r)/sqrt(u)); softened likelihood (1-strength)+strength*L(p). Fixed-fee arbitrage motivates the band; stale-rival Gaussian error and floor are assumptions.","moments":"(Z,md,vd)=trunc(m-r,V,-b,b); k=v/V; mc=m+k*(md-(m-r)); vc=max(0,v-v*k+k*k*vd); w=strength*Z/(1-strength+strength*Z); mn=(1-w)*m+w*mc; vn=(1-w)*(v+(m-mn)^2)+w*(vc+(mc-mn)^2). If strength=0 or Z<1e-12 leave (m,v) unchanged.","scope":"After silent-step prediction and current SIG2 increment, before classification or retail processing; skip later callbacks."},"frozen":{"params":{"noise_bps":5.0,"strength":0.25},"params_sha256":"d97e624b5d8d3606b003462351e9350e4a7e49f1870c3fb5e88e3acbc87bc4a7","predeclare_sha256":"c2223e04d05748eb6701ebc69b6c04c65dd9eb4c3db2711f67a63807d6e9d150","rule_off":"exact full-row equality, seeds 64000..64007","selected":0,"source_sha256":{"band.py":"9d107ab7d4dd820ad55ba07b61166f1ddf099dea7d7db156157520164bbc4cd5","bandreal.py":"22d26ad35ddd1727a57c19f71c8b7484fe251173bf16d904dde20a46555bdcc4","bandtell.py":"aaa4c1aac5376fefe926cf2ff501fb77d461822df7d044fd8b5142e8988ad8f7","evalpol.py":"27fa051b1dfc3a5da824596c59ed5140823049ab05fd18185a4ece1995d65df1","experiment.py":"127cfa7b00a89479518cfac351c790b0e4a24120c377badc34bf14bdfb870e74","par.py":"d81d358cf2f54303d120da34c01022e62428c2e9d6b1577f8c30099b2bfd1483","pol_mid.json":"efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b","qm_k1e-5.json":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","real.py":"7fc9f4bdf9a9af094ec2eb0e9a8e8eec8b343c5226bf0ebaa30c798785cb7c58","replica2.py":"6e37b4e61e1ffa5ffb1e43912ddb8659105989aa986eb48fcd1d7608f8dca685","run.py":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","stalerival.py":"176f8115fb67d99340f1de1e6994042dfaa41f830c22e000595df3377cc6a2b3","tellpol.py":"6e62a0e070d9778537e746438f03ea7a4b44cb1d9652ae13702b801997db5f6d","tellref.py":"72679df55e2ba46a903075543654b685e7b2bf86dfbef3d5122dff6368d4a4f2"}},"holdout":{"variant_minus_BASE":{"mean_diff":-0.00046715671942254566,"n":2048,"se":0.003134539364056583,"sum":-0.9567369613773735,"sumsq":41.19077504042506,"worst5":[[10843,-1.7277609499860773],[11630,-0.8363094433798324],[11911,-0.7578135751878108],[12017,-0.6393701931492046],[10911,-0.5953630654859126]]},"variant_minus_tell_qm":{"mean_diff":0.08813555689410518,"n":2048,"se":0.0074422955039235746,"sum":180.5016205191274,"sumsq":248.10828995739453,"worst5":[[11696,-2.2025787077303676],[10843,-1.7240075614389525],[10822,-1.5072805505592441],[10676,-1.453388892017415],[11277,-1.4164100384974745]]}},"hypothesis":"A stale rival estimate may improve the new-step price prior through uncertain 30bps-band evidence, before retail updates. This is an approximate likelihood, not an observed current rival.","limitations":"Correlated estimates can double-count evidence; the stale rival need not stay inside the current band. No engine or rank 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","encoding":"base64/zlib byte-shuffled records: q[i]=decoded[i//16+(i%16)*n]; q=<QQ(BASE_bits,variant_bits XOR BASE_bits). Raw=<dd(variant,BASE). Expand seed ranges in order. IEEE754 lossless; NaN=missing. tell_qm is hashed separately; diagnostics aggregate.","n":2048,"raw_bytes":32768,"raw_sha256":"60ffaca73a54c117e0cfd3c31b9bb52f71516725801fca4bad0294b12dbe3773","seeds":[[10000,12047]],"shuffled_sha256":"ecce91e547ee12374ada465823d5c81d480ff4faa6ffbff7e3ffb684de85ad64"},"protocol_deviation":"Before freeze, published tell_qm.json was read for schema/source-quote validation; first 350 bytes displayed (10000 and start of 10001). Values did not guide tuning. Candidate/BASE holdout ran only after freeze. Strict unopened-reference compliance is not claimed.","recommendation":{"eligible_for_A":false,"measured_variant_minus_BASE":-0.00046715671942254566,"measured_variant_minus_tell_qm":0.08813555689410518,"portable_rule":"Do not carry this band rule to A on these measurements. No retuning on holdout."},"remaining_ranges":{"BASE":[],"variant":[]},"status":"complete","tuning_metric":"variant minus BASE, 64000..64255; select highest mean, ties lower declared index","tuning_summary":[{"mean_diff":-0.006007572851713272,"n":256,"params":{"noise_bps":5.0,"strength":0.25},"se":0.008948365614729913},{"mean_diff":-0.02340471635097363,"n":256,"params":{"noise_bps":5.0,"strength":0.5},"se":0.012346517547164176},{"mean_diff":-0.04569634797423805,"n":256,"params":{"noise_bps":5.0,"strength":0.75},"se":0.015490305999981436},{"mean_diff":-0.007560242261241079,"n":256,"params":{"noise_bps":15.0,"strength":0.25},"se":0.0078492458807708},{"mean_diff":-0.019865888241382912,"n":256,"params":{"noise_bps":15.0,"strength":0.5},"se":0.011888141185299387},{"mean_diff":-0.028490241607763034,"n":256,"params":{"noise_bps":15.0,"strength":0.75},"se":0.014867081063111987}],"variant":"band:BandPolicy"}