{"key":"p6-s3-mid-size-up","idea":"Larger rival-level quotes in the middle probability range on spread 3.","spreads":[3],"approach":"Port the source sizing rule to MA: when self.s == 3 and 0.20 <= phat <= 0.80, scale qb when bid_t == cb and qa when ask_t == ca. Compare factors 2.0 and 1.5; select only by paired target-spread mean on T, then freeze before H. Default unmodified simulator, 2000 steps, sequential in-process pairs with runner.sample_config and SimulationEngine(config, factory, seed=seed).","tried":["factor2: exact source multiplier 2.0","factor1_5: smaller multiplier 1.5"],"next":"Send the frozen candidate to independent finalist measurement; this screen does not promote MA.","port_kind":"body","code":"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is gzip+base64; code_sha256 hashes the decompressed UTF-8 file. MA base hash and the embedded source/N hashes were verified before experiments. Only six sizing lines were inserted into MA; the required subclass sets the factor and delegates on_step. A returned-action resize cannot exactly reproduce desired-size retention/cancellation and collateral allocation; the body insertion preserves MA bookkeeping and estimator exposure updates. Full H contains 1000 completed pairs in 50-seed chunks. Off-target paired differences are exactly zero; same-state replay also asserts identical actions and instance state on off-target check seeds for both variants. No finalist seeds or seeds 700000..709999 were touched; no promotion is claimed. Simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e was unmodified."}