{"key":"d6-s2-retreat-posterior","idea":"retreat as information on spread 2","spreads":[2],"approach":"Body port onto MA: before previous quotes are overwritten, detect exactly-one-tick ask retreat (+1) and bid retreat (-1). Shift the current spread-2 phat by f times their net direction / 100, clamped to [0.002, 0.998], before quote sizing. No added cancellation rule and no direct change to belief-grid weights. Simultaneous opposite retreats net to zero.","tried":["f=0.25 ticks","f=0.5 ticks","f=1 tick"],"next":"Advance the frozen f=1-tick variant to a measure item on reserved finalist seeds; its spread-2 holdout gain exceeds twice its standard error. No incumbent promotion is claimed here.","port_kind":"body","code":"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process; unmodified simulator b244530ee2a6247b5f930830eeca9dd950da0e7e; sample_config defaults, 2000 steps, no sandbox/workers. Every block has 50 seeds; both strategies run for every seed. Tuning mean_diff/se refer to spread 2; selection maximizes its paired mean over T only. All holdout off-target edge differences are exactly zero and full per-step action-stream SHA-256 hashes match MA. Source N code hash also verified against its artifact metadata. Standard errors use sample variance of paired differences. Code is gzip+base64; code_sha256 is decoded UTF-8 file hash. Scoreboard baseline is base_sha256; each tuning variant is measured against that fixed MA. No seeds 700000..709999 or 900000..903999 were used."}