list-clusters-partitions-all-beliefs

Summary

Every belief in the system will always end up in exactly one cluster when clustering is performed — nothing gets lost and nothing appears twice. This guarantees that clustering is a clean partition of the input, so downstream processes can safely treat the clusters as a complete and non-overlapping view of all beliefs.