{"key":"p6-s4-retreat-cancel","idea":"Cancel the rival-retreated side for k callbacks on spread 4.","spreads":[4],"approach":"Append RC retreat-cancel wrapper to byte-identical MA; change spread guard to self.s == 4. Cancel existing orders and suppress new placements, including probes, when rival bid falls exactly one tick or ask rises exactly one tick. Repeated retreats reset cooldown. Select largest target-spread paired tuning mean and freeze before holdout.","tried":["k1: both sides, one callback","k2: both sides, two callbacks","k1_ask: ask side only, one callback"],"next":"Consider a separate finalist measurement of the frozen candidate; no promotion is claimed.","port_kind":"wrapper","code":"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mean_diff and se are conditional on observed spread 4. All stats use full-precision paired differences and sample standard error. Spread is inferred from first rival quotes, not configured spread. Off-target edge components and SHA-256 of repr(actions) over all 2000 callbacks match MA exactly. Simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e unmodified, default 2000 steps; sample_config and SimulationEngine for every file/seed. Sequential 50-seed chunks, no sandbox or workers. Code encoding is gzip+base64; hashes refer to plain UTF-8. No tuning/holdout overlap; no 700000..709999 or 900000..903999 seeds. This is a screen against MA, not a promotion."}