The requirement that entity claims remain stable and corroborated across time — a factor in entity confidence scoring. AI systems distrust claims that appear suddenly or change frequently without explanation. Temporal consistency is built through sustained, repeated corroboration of the same core claims across years. Entities with deep temporal consistency (claims corroborated across 3+ years) score higher in confidence than entities with recent but shallow signal history. Temporal consistency makes entity infrastructure resistant to competitive displacement because new entrants cannot retroactively create temporal depth.