Voynich Manuscript — Complete Deterministic Decipherment Using the 25×3 Causevic Pro Method
Voynich Manuscript — Complete Deterministic Decipherment Using the 25×3 Causevic Pro Method (English Edition) This work presents a fully deterministic solution to the Voynich Manuscript through the application of the25×3 Causević Pro Method, developed as a stable, reproducible algorithm based on a triple positional character model, RTL logic, and formal Latin–Arabic lexical correlation. This edition includes the complete Python transliteration tool together with full methodology and accompanying utilities enabling researchers to independently verify the process. The 25×3 Pro method has proven to be the most stable and most precise variant within the broader Causević system (32×3, 33×3), providing minimal noise in the text and high semantic consistency throughout the corpus (f1r–f116v). The attached Python tools allow rapid verification and application of the algorithm across all EVA variants (H/C/F/V) without the need for additional adjustments or manual intervention. This work includes: • A complete formal description of the 25×3 Causević Method• A precise transliteration table (Var1–Var3)• A deterministic letter model with fixed rules• A Python package for local and academic analysis• Examples of decoding across multiple folios• Correlation findings with the Latin–Arabic medical corpus (Avicenna’s Canon Medicinae)• Demonstration of method stability across the entire manuscript This Bosnian edition has been deliberately published as part of a cultural–scientific framework, with the intention of affirming the use of the Bosnian language within the international academic community. Researchers wishing to technically evaluate or reproduce the results may do so fully thanks to the included code and the deterministic nature of the algorithm.
Institutions
- Karlsruhe University of Education (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-02
- DOI
- https://doi.org/10.5281/zenodo.17505856
- Primary Topic
- Intelligence, Security, War Strategy
- Type
- article
- Field-Weighted Citation Impact
- 0.00