{"key":"p6-s3-flow-transfer","idea":"s3-flow-transfer","spreads":[3],"approach":"Port the source-minus-N spread-3 censored retail-flow posterior onto MA. Track eligible inside-the-rival best-level fills, account for capped and safely exhausted quotes, and refresh the posterior every 100 steps. Replace only spread-3 tick-1 stock demand's old ledger scale with ydf1*clip(1+strength*(posterior_flow/0.568734-1),0.5,2.0). Keep MA's pricing, quote sizing, cover ledger and other spreads.","tried":["Verified MA, N and source SHA-256 against their published code_sha256 fields; MA also matches the brief.","Verified MA posterior constants/tables equal the source spread-1 tables exactly.","Full source strength 1.0 and half strength 0.5 screened on the same 200 tuning seeds; selected by spread-3 paired mean only.","Frozen selection evaluated once on all 1000 holdout seeds in 50-seed commands, with separate MA and candidate engine runs and per-step off-target action equality assertions."],"next":"Retain MA: the holdout gain does not exceed two standard errors. This screen does not justify promotion; any finalist confirmation must be done independently by a measure item.","port_kind":"body","code":"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is gzip+base64; hashes are SHA-256 of plain UTF-8. Simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e, unmodified defaults (2000 steps), sample_config and SimulationEngine per seed, single process, no sandbox/workers. Body edits are required because posterior updates need local phat/var_t, observation eligibility needs kept_ids/out, and tick-1 demand affects cash allocation before actions exist. MA already initializes the exact posterior state/tables, so no extra initialization is needed. Half size means strength 0.5 around neutral flow, with source clipping bounds unchanged. The old ledger remains for MA's separate qbid cover subsidy. Off-target actions compared step by step on every tuning/holdout seed; edge, retail and arb differences exactly zero. T/H disjoint; no 700000..709999 or 900000..903999 seeds run. SE is paired sample standard error; no claim of finalist validation."}