Software Implementation of the Assumption-Resistant Framework for Voynich Manuscript Structural Analysis (v1.0.1)

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: Steven A. Adams
DOI: 10.5281/zenodo.18651595
Cited by: 0

Abstract

This record archives the v1.0.1 software release of the Assumption-Resistant Framework (ARF) used for structural analysis of the Voynich Manuscript transcription stream. The repository includes a deterministic ingestion pipeline, corpus-scale structural metrics, negative controls, and non-semantic generative control implementations used to evaluate model admissibility. This archive is provided to support reproducibility and transparency for the associated research paper. Source repository: https://github.com/stvadams-research/voynichMS

Fields of Study & Subjects

Digital Humanities and Scholarship Authorship Attribution and Profiling Natural Language Processing Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN