This record provides the preprint and reproduction package for the study "Evidence for a Structured Token-Generation System in the Voynich Manuscript." The study tests whether Voynich Manuscript tokens can be modeled by a structured prefix–core–suffix (PCS) token-generation system rather than by random processes. Using the Zandbergen–Landini EVA transcription (ZL3b), the analysis evaluates token matching, coverage, Zipf distribution alignment, fixed-length validation, bootstrap significance, holdout generalization, inter-token transition entropy, morphological family structure, positional dependency, and compression-based structural regularity. Key results include: - Matching Rate: PCS 97.02% vs Random 5.07%- Token Coverage: PCS 85.25% vs Random 18.50%- Zipf Slope Difference: PCS 0.0795 vs Random 0.7138- H(suffix | core): 0.8746- Transition entropy reduction: 0.2504 bits- Compression ratios: real 0.3089, shuffled 0.3240, PCS-generated 0.3163- Morphological families: 767 core-sharing families and 1,017 suffix-alternating clusters- Positional chi-square: prefix = 4554.31, core = 17993.46, suffix = 3329.07 The results support a structured token-generation mechanism but do not constitute semantic decipherment.
Youngsan Chang (2026) studied this question.