AI Citation Registries and Timestamp Signal Failure in AI Interpretation

AI systems infer recency from temporal signals like timestamps, but traditional publishing often treats these as secondary or inconsistent, causing AI to surface outdated information as current. An AI Citation Registry is proposed as a machine-readable publishing system that treats timestamps as explicit, structured, primary signals, enabling AI to reliably identify authoritative sources with clear provenance and temporal relevance.