Claim checker for public texts (TypeSafe), measured manifest load times, corrected README timings

docs/user_guide.md

@@ -304,7 +304,7 @@ A nightly differential run (`scripts/nightly.py`) re-checks these against the or
   QC steps; on an 8 GB machine keep `--threads` low (≈ 2–3 GB per worker for GSA/Omni-size arrays).
 * Speed: with the compiled kernels a GSA sample takes ~1.1 s on a Raspberry Pi 5 core (pure Python ~3.4 s); see
   `docs/validation/P9.md` for server numbers and thread scaling. Loading a manifest/cluster file is a fixed cost
-  per run (GSA ~5 s, Omni2.5 ~15 s on the Pi).
+  per run (GSA ~4 s, Omni2.5 ~18 s on the Pi with the kernels).
 * Methylation arrays: control-probe QC, detection and β values only (no differential analysis).
 
 ## Troubleshooting