{"key":"br-1","idea":"Keep arb and retail branch states and lattices open through a step, revise their posterior on later callbacks and the next first trade, and quote a sharpened posterior-weighted log blend of their separate branch quotes.","settings_tried":[{"setting":"g=1.5 amb=0.02 [chosen]","n":256,"mean_diff":0.13221152187013363,"se":0.03529172387852301},{"setting":"g=1.5 amb=0.05","n":256,"mean_diff":0.11688103335067823,"se":0.03576125977615249},{"setting":"g=1 amb=0.02","n":256,"mean_diff":0.1312291665729075,"se":0.03533053247964249},{"setting":"g=1 amb=0.05","n":256,"mean_diff":0.11470078883817769,"se":0.03571069838452363},{"setting":"g=2 amb=0.02","n":256,"mean_diff":0.04084511463953722,"se":0.038092621125699944},{"setting":"g=2 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","code_sha256":"b2dfa43b047799a4f2456200e932aa33e2b6b307503c3d27f69ac782f4e82512","notes":"All six settings: 60000..60255, 256 seeds each, PROCS=8; chosen g=1.5, amb=0.02. Confirmation once: 60256..60511. Code/options then frozen; holdout once: 10000..12047 in four 512-seed run.py commands, paired against the shipped ref/lattice_qm.json. No missing or imputed seeds. Branch-specific moments/rival states soften the hard arb/retail quote choice; log blending sharpens the quote weight only. Same-step odds use fixed direction LR=1.03 from revise-1's reported estimate (inverse on opposite side); next-first-trade likelihood updates the old branch before closing, as revise-1 does. Marginal price filter stays reference-style; revision carries rival state, not a persistent hypothesis tree. No separate ablations: contributions are conceptual, not measured independently. Misread is immediate first-callback error, not hindsight; price error is callback RMS of marginal log-price estimate, both on the holdout. Full-lattice gas is unmeasured: 128 extra slots assumes scalar arb pin and state reuse; ~450k incremental warm first-callback budget, initialization can exceed 2.5M; unsuitable for the Solidity budget. Pure/Numba full fee traces match on three training seeds (chosen setting), and the extracted archive runs with optional dependencies absent. Below the +0.3 promotion bar. Next: ablate persistent quoting versus first-call-only blending, then replace the weak direction heuristic with router evidence."}
