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Temporal Indexing Annotation Proof Continuity is the technical implementation of Temporal Proof Continuity during indexing. Bots identify continuity markers through: (1) Duration language - "for 27 years," "over a decade," "10+ years"; (2) Since-markers - "since 2015," "from the beginning"; (3) Consistency language - "consistently," "continuously," "always"; (4) Ongoing markers - "ongoing," "still," "continues to." Each detected pattern receives a confidence score based on specificity (quantified duration > vague duration) and claim association. High-confidence continuity tagging requires specific duration language linked to the entity and topic.

Bots detect duration signals. "Jason Barnard has focused on algorithmic optimization since 2015" gets tagged: Continuity="since 2015" [0.94], linked to Entity and Topic. "Jason Barnard is interested in optimization" gets no continuity tag - no duration signal. State how long. State since when. Make the commitment visible.

Temporal Indexing Annotation Proof Continuity explains how bots technically identify sustained commitment. Pattern recognition identifies duration language; entity-topic linkage associates continuity with specific claims. Quantified duration ("27 years") outperforms vague duration ("a long time"). This framework reveals why explicit commitment statements build algorithmic trust.