{"hypothesis":"Retail paid amount and side carry price information through router allocation against a price-band-constrained stored rival estimate, plus the conversion of Y-denominated retail size to X on sells.","scope":"Stdlib Python replica only; no engine execution, submission, or engine-rank inference.","needs_flag":false,"baseline":{"url":"https://api.imdnotdead.fun/artifacts/806404e8de0d3fee0641a55560fee2001cdf19cceefd05c7b23b9b486faa263f","body_sha256":"806404e8de0d3fee0641a55560fee2001cdf19cceefd05c7b23b9b486faa263f","source_sha256":"176f8115fb67d99340f1de1e6994042dfaa41f830c22e000595df3377cc6a2b3","options":{"a0":0.35,"ainf":0.35,"soft":1,"qm":"qm_k1e-5.json"}},"exact_rule":{"eligibility":"After unchanged BASE update, apply only when variance>1e-18 and not read as arb; first trades must be off-grid. Later retail trades qualify regardless of grid. Zero strength returns BASE exactly. Callback values reconstructed from WAD integers. New evidence changes only price mean/variance and their table lookup, never rival state or classifier on that callback.","latent_price":"Five-point Gauss-Hermite under BASE Gaussian N(m,v), nodes [-2.8569700138728056,-1.355626179974266,0,1.355626179974266,2.8569700138728056], weights [.01125741132772069,.22207592200561264,.5333333333333333,.22207592200561264,.01125741132772069].","rival":"Capture rival estimate before callback. On first trades project it into [p*.997,p/.997] for each candidate p; later use stored estimate. Optionally average three log-rival offsets (-sqrt(3)*rival_sd,0,+sqrt(3)*rival_sd), weights (1/6,2/3,1/6). This is likelihood nuisance integration, not a new rival-state pull.","router":"Let g be own active side gamma, g2=.997, K=1e6, r=sqrt(g/g2), R own pre-trade paid reserve, S rival paid reserve inferred from K and rival spot. u is observed paid amount. b=(r*S-R)/g. If u<=b, total Q=u, J=1; else Q=(u*(g+r*g2)+R-r*S)/(r*g2), J=(g+r*g2)/(r*g2). Full and split branches invert the clamped router.","density":"f(z)=exp(-.5*((ln(z)-(ln(20)-.72))/1.2)^2)/(z*1.2*sqrt(2*pi)). On pool-buys-X use L=f(p*Q)*p*J; otherwise L=f(Q)*J. Side probability .5 is constant and cancels. Use joint paid-fill density, not density conditioned on a callback existing. Rival-average densities floored to 1e-300; temper by strength. No latent run parameters are read.","moments":"Normalize w_i*exp(strength*ln L_i-max_j(strength*ln L_j)); update m to m+sqrt(v)*E[node], v to max(0,v*(E[node^2]-E[node]^2)). Recompute unchanged qm lookup and BASE WAD fee roundtrip/30bps guard.","limitations":["Moment approximation of BASE Gaussian, not exact filtering of truncated priors.","Stored rival spot and constant product approximate the unobserved rival.","On later buy-side callbacks with price-independent rival estimate the likelihood is constant in price; on later sells evidence is generally weak.","No information from no-callback intervals beyond existing BASE handling.","Ambiguous on-grid first trades retain BASE mixture and receive no new retail likelihood."]},"frozen":{"baseline_sha256":"176f8115fb67d99340f1de1e6994042dfaa41f830c22e000595df3377cc6a2b3","chosen":{"rival_sd":0.0002,"strength":0.5},"driver_sha256":"7d6dc80ae63469259b299df9b8acf25396585a7b64b4d1fad0d8cda401806705","holdout":[10000,12047],"qm_sha256":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","run_sha256":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","settings":[{"rival_sd":0.0,"strength":0.25},{"rival_sd":0.0,"strength":0.5},{"rival_sd":0.0,"strength":1.0},{"rival_sd":0.0002,"strength":0.25},{"rival_sd":0.0002,"strength":0.5},{"rival_sd":0.0002,"strength":1.0}],"source_sha256":"0eb13c98bd50e84be5dbb45c412afec0b9bab3397e9dc9eb04bf587184732370","tuning":[{"mean_diff":0.0037715915884231066,"n":256,"setting":{"rival_sd":0.0,"strength":0.25},"sum":0.9655274466363153,"sumsq":3.103044525095707},{"mean_diff":0.003940959224619789,"n":256,"setting":{"rival_sd":0.0,"strength":0.5},"sum":1.008885561502666,"sumsq":3.963789840720192},{"mean_diff":-0.0010636620471282665,"n":256,"setting":{"rival_sd":0.0,"strength":1.0},"sum":-0.2722974840648362,"sumsq":7.44678385343748},{"mean_diff":0.0063313491402425814,"n":256,"setting":{"rival_sd":0.0002,"strength":0.25},"sum":1.6208253799021008,"sumsq":2.837691664028238},{"mean_diff":0.00793702635777982,"n":256,"setting":{"rival_sd":0.0002,"strength":0.5},"sum":2.031878747591634,"sumsq":4.058997501243198},{"mean_diff":0.0004673590468848854,"n":256,"setting":{"rival_sd":0.0002,"strength":1.0},"sum":0.11964391600253066,"sumsq":6.446348558637029}]},"freeze_file_sha256":"8966c0717b1fb9c23065cc09703ce20e80f95755453a5db1e7241c5ec8dc4a0e","parameter_sha256":"84544579f03e40c766a76dc71b86be3d552f6c291f2a3ad173f9c2ffcf5a07ee","parameter_hash_encoding":"UTF-8 JSON, sorted keys, compact separators","parameter_commitment_timing":"Selected params and source hashes were saved in freeze.json before any holdout scoring. The pre-holdout driver SHA-256 commits to all settings and the deterministic selection rule. The separate selected-parameter SHA-256 was materialized by the finalizer after holdout scoring began; it was not separately recorded before scoring.","tuning_summary":{"range":[64300,64555],"settings_predeclared":6,"selection":"largest paired mean against BASE; frozen before opening holdout; no retuning","results_location":"frozen.tuning"},"holdout":{"requested_range":[10000,12047],"variant_BASE":{"n":2048,"mean_diff":0.005839432526171834,"se":0.0028106091519126777,"sum":11.959157813599916,"sumsq":33.18666076300214,"worst5":[{"seed":11630,"diff":-0.809713147830621},{"seed":10633,"diff":-0.6785066883504669},{"seed":10079,"diff":-0.6159874322191854},{"seed":10818,"diff":-0.4954681110259571},{"seed":10446,"diff":-0.46162028298942914}]},"variant_tell_qm":{"n":2048,"mean_diff":0.09444214613969956,"se":0.007160298534983445,"sum":193.4175152941047,"sumsq":233.20320679489245,"worst5":[{"seed":11696,"diff":-1.9221643447257293},{"seed":10822,"diff":-1.5690084411138514},{"seed":11022,"diff":-1.2391288089629597},{"seed":10676,"diff":-1.133672965056462},{"seed":11025,"diff":-1.0787432884948203}]},"BASE_tell_qm":{"n":2048,"mean_diff":0.08860271361352773,"se":0.007079197151580293,"sum":181.4583574805048,"sumsq":226.17274777636902,"worst5":[{"seed":11696,"diff":-2.0920680876059805},{"seed":10822,"diff":-1.5921358448919136},{"seed":11022,"diff":-1.4867062508961908},{"seed":11277,"diff":-1.3260298263055574},{"seed":11413,"diff":-1.269064635952418}]},"completed":{"variant":[[10000,12047]],"BASE":[[10000,12047]]},"remaining":{"variant":[],"BASE":[]}},"per_seed_rows":{"encoding":"base64(zlib(byte-plane transpose of binary little-endian =0.2 versus tell_qm with positive incremental gain over BASE is not established.","engine_rank_claim":false},"code_sha256":"0eb13c98bd50e84be5dbb45c412afec0b9bab3397e9dc9eb04bf587184732370","bundle_encoding":"base64(zlib(UTF-8 compact sorted JSON 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","fixed_dependency_sha256":{"run.py":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","par.py":"d81d358cf2f54303d120da34c01022e62428c2e9d6b1577f8c30099b2bfd1483","replica2.py":"6e37b4e61e1ffa5ffb1e43912ddb8659105989aa986eb48fcd1d7608f8dca685","evalpol.py":"27fa051b1dfc3a5da824596c59ed5140823049ab05fd18185a4ece1995d65df1","real.py":"7fc9f4bdf9a9af094ec2eb0e9a8e8eec8b343c5226bf0ebaa30c798785cb7c58","tellpol.py":"6e62a0e070d9778537e746438f03ea7a4b44cb1d9652ae13702b801997db5f6d","tellref.py":"72679df55e2ba46a903075543654b685e7b2bf86dfbef3d5122dff6368d4a4f2","pol_mid.json":"efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b","qm_k1e-5.json":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","tell_qm.json":"ad382c07e6c2b3a5a8055ea767e140b7461105f29dafee69b7c1766c90d0634f"},"reproduction":"Decode bundle into directory populated by pinned tell/fetch.sh (34 verified fixed research files), then PROCS=1 python3 driver.py; driver creates/resumes results. No third-party Python packages. Tables and replica are fixed upstream inputs identified by hashes, not duplicated in this bounded JSON."}