This report presents a hardware-aligned tokenization framework that prevents vocabulary explosion without relying on cross-lingual semantic pivots. The framework partitions the token index space into four bounded regions: control identifiers, primitive bytes, surface lexicons, and a universal grapheme pool. Input text is processed through a deterministic three-stage fallback: localized trie prefix matching, canonical graphemic decomposition, and primitive byte mapping. This structure guarantees zero out-of-vocabulary conditions within a compact, hardware-aligned index space. During inference, a finite-state decoder tracks script transitions dynamically to prevent cross-orthographic drift.
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Young Jin Oh (2026) studied this question.
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