Semantic Coordinate Identity Tokenization (SCIT)

This paper introduces Semantic Coordinate Identity Tokenization (SCIT), a representation framework for machine cognition in which stabilized semantic identities are assigned governed coordinates and processed through coordinate-indexed tokenization interfaces. SCIT extends the SemCrys program by distinguishing lexical surface compression from semantic reconstruction cost, proposing that recurring meanings may become more computationally efficient when represented as governed semantic coordinates within a topology-aware substrate.

The paper defines CSIL, GTK, coordinate identity, topology-constrained disambiguation, coordinate-aware embeddings, retrieval, composition, governance constraints, failure modes, and an incremental deployment path. Its central claim is that semantic disambiguation can be partially externalized into persistent infrastructure, converting repeated inference-time ambiguity resolution into amortized semantic infrastructure cost.