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Introduce comparison threshold presets in nvbench_compare and thread the selected preset through main() into compare_benches. Refine bulk nearest-neighbor support handling by: - adding rare-support filtering thresholds - ignoring low-count support values only when removed sample mass is small - falling back to full support for all-unique or otherwise unusable support - keeping sample-weight coverage over all values Tighten bulk mismatch reporting to show compact min(ref, cmp) coverage summaries, and add tests covering: - rare-tail filtering - strict fallback when too much support mass would be removed - all-unique support preservation - preset lookup and CLI preset propagation