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June 26, 2026Open Access

Visual Semantic Profiling of the Voynich Manuscript: Reading Meaning from Illustrations in an Undeciphered Codex

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Authors

JLJacob Lyons

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Overview

Randomized trial demonstrates that illustrations in the Voynich Manuscript encode structured content, suggesting new analytical channels.

Key Points

  • The study aims to analyze the visual content of the Voynich Manuscript using computational methods to explore its potential meanings.
  • Employs zero-shot visual semantic profiling to analyze 206 page images of the manuscript.
  • Utilizes multinomial logistic regression for classification accuracy on section labeling.
  • Conducts statistical tests (ANOVA, Welch's, Kruskal-Wallis) to measure dimensional discrimination of page images.
  • All sixteen dimensions differentiate section categories at significance p < 10^-15.
  • Achieves 90.4% accuracy in recovering section labels using a visual channel, compared to a 20% chance baseline.
  • Comparison with text channel shows statistically indistinguishable performance (92.3% accuracy) on shared pages.

Cite This Study

Jacob Lyons (2026) studied this question.

synapsesocial.com/papers/6a3e1799030ad1a9b3091035https://doi.org/10.5281/zenodo.20817371
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