SFACompare now runs a third coding (PAA cells with learned per-position
bins) to separate the bin-table and front-end effects, averages recall over
120 queries spread across the measured half, excludes windows overlapping the
query from the symbolic ranking, and reports each recall gap with its paired
standard error plus letter entropy. InpEndTime and InpSplit pin the data and
the fit/measure split so the article's numbers reproduce. README updated with
the findings.
