Document v3 comparison limits

README.md

@@ -71,6 +71,20 @@ With the default abstention rule, English coverage is 96.54% and accuracy on
 retained estimates is 98.54%. Hindi coverage is 97.99% and retained accuracy is
 99.18%.
 
+A paired audit recalibrated the released v2 model on v3's calibration
+partition. V3 improved accuracy by 1.19 percentage points (95% name-cluster
+bootstrap interval: 0.95 to 1.43), Muslim recall by 15.62 points (13.55 to
+17.75), Muslim F1 by 0.086 (0.071 to 0.103), and Brier score by 0.0122 (0.0106
+to 0.0139). Muslim precision was 2.04 points lower (-3.44 to -0.67), reflecting
+v2's more conservative recalibrated operating point.
+
+This comparison supports the complete v3 pipeline on the available SEPRI
+population. It does not isolate the effect of architecture from changes in
+training data and calibration. The evaluation partition was held out from
+parameter fitting and calibration but was inspected during architecture
+development, so it is developmental rather than pristine confirmatory
+evidence.
+
 These results do not establish accuracy for every state, script, community, or
 time period. The Hindi test shares the land-record source used for training,
 although normalized names are partitioned. Religion labels derived from caste