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Temporal Indexing Annotation Proof Dimensions is the technical implementation of Temporal Proof Dimensions during the Index phase of DSCRI. When bots process content chunks, they identify and tag temporal proof signals: (1) Primacy markers - language indicating first-mover status ("coined," "first to," "invented," "pioneered," "originated"); (2) Timestamp evidence - specific dates or years that anchor claims ("in 2017," "since 2015," "established 1998"); (3) Continuity signals - language indicating maintained position ("for 27 years," "consistently since," "ongoing commitment"). Each annotation receives a confidence score based on linguistic clarity and corroboration potential. This is neutral cataloging - the bot tags what it finds without judgment about favorability.

Bots look for temporal markers. When you write "I coined AEO in 2017," the bot tags: Primacy="coined" [0.96], Timestamp="2017" [0.98]. When you write "I've been doing this stuff for a while," the bot finds nothing specific to tag. The difference between algorithmically strong and weak temporal claims is specificity. State it explicitly. Date it precisely. Show continuity clearly.

Temporal Indexing Annotation Proof Dimensions explains how bots technically identify time-based authority signals. During indexing, natural language processing identifies primacy language patterns, extracts date entities, and recognizes continuity markers. Each extraction carries confidence based on clarity (explicit vs. implied) and verification potential (can this be cross-referenced?). This technical framework operationalizes the philosophical Temporal Proof Dimensions concept within DSCRI.