Interestingly, we found that RAD's recall of top scaffolds and clusters across both proteins and scoring functions lagged behind its recall of virtual actives. For example, when screening 5% of the AmpC library with Glide, RAD identified 75% of virtual actives but only 63% of the top scaffolds. One explanation for this discrepancy could be the molecular representations used for HNSW construction.