This paper establishes the ABCD + Gold five-level functional classification system for the Voynich Manuscript based on systematic analysis of 5,390 lines of KST-standardized text data. The Five-Color Frequency Prediction System maps text functions to visual colors, enabling statistical predictive analysis of manuscript imagery. Key contributions: Five-Color Frequency Prediction System with optical wavelength correspondence between functional classes and visual colors Interface Dependency Principle: Class A never appears as the primary classification across 227 pages (p < 0.001), suggesting that receiver-like functions do not occur in isolation Visual Encryption Hypothesis: We hypothesize that the Voynich Manuscript may use “plant” and “bathing” imagery to disguise technical content in a period overlapping the Inquisition era (c. 1404–1438, based on current radiocarbon dating) Applicable to 46.5% of the manuscript text (Herbal + Balneo sections, where text statistically behaves as structural description rather than coordinate labels) This research is a human–AI collaborative achievement by the BlazeCipher team. Details of the collaboration protocol are documented in Paper #1 and the project README. Related papers: Paper #1: KST Methodology (DOI: 10.5281/zenodo.18483132) Paper #2: English Abbreviation Hypothesis (DOI: 10.5281/zenodo.18483785) Paper #3: Image-Text Cross-Validation (DOI: 10.5281/zenodo.18627510) Related resources: GitHub: https://github.com/ignisterra-ai/voynich-kst-verification Patent: US 63/965,601 (Filed January 22, 2026) Patent: US 63/968,861 (Filed January 27, 2026) — Inspired by the Voynich Manuscript Website: https://blazecipher.com
An Ling (Kelly) Liu (Fri,) studied this question.
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