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Early-stopped probes have n=128 or 256; gradients and curvatures use only the seeds common to both signs. Sequential stopping slightly biases retained means.","Level-knot index 1 (sd knot 3 of 0,3,7) is shared by both sd spans, so its groups mix states below and above that knot; level-knot index 0 acts only through the lower span. Ask and mirrored bid lookups share each node.","Bands come from 128-seed visit weights (abs net interpolation coefficients, not objective gradients) and partition the full index range, so groups include unvisited nodes; cross groups have unequal mass because bands are marginal quantiles.","QPL1 feasibility is for the single-group uniform probe on the production table (qpl.apply + encode, no neighbour repair); combined or finer corrections need their own check."],"scripts_format":"base64(zlib(UTF-8 JSON mapping script name to source)); run in order stageA (verify replica, profile visits, baseline), stageB (freeze bands), stageC (probes), stageD (this file) from the repository root after decoding the harness into test/scratch/src and building into test/scratch/h/build","scripts_zb64":"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"}