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May 15, 20260 citationsOpen Access

A Candidate Decipherment of the Voynich Manuscript: Evidence for a Spoken Elu-Sinhala Pharmaceutical Register (V6)

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KBKameldip Singh Basra

Key Points

  • This work aims to decipher the Voynich Manuscript as a 15th-century Elu-Sinhala pharmaceutical text.
  • Conducted exhaustive folio-level analysis of major sections.
  • Validated evidence streams to confirm the pharmaceutical calendar.
  • Performed audits and supplementary analysis for verification.
  • Function particle resolution improved by 1,636 tokens.
  • Rival languages represented only 0.5%, far below the Sri Lankan baseline.
  • Achieved 98 out of 110 proposed herbal IDs with 29 high-confidence validations.

Abstract

Version 6 of the candidate decipherment of the Voynich Manuscript as a 15th-century Sri Lankan Elu-Sinhala pharmaceutical compendium. V6 is a major expansion: every major section now has an exhaustive folio-level analysis, the pharmaceutical calendar is confirmed by three independent evidence streams, and function particle resolution improves 1,636 tokens. Includes: complete Wijeratne dissertation grounding (W1–W5 all confirmed); rival-language tournament (Arabic/Tibetan/Tamil all 0.5%, 95× below Sri Lankan baseline); BALNEO exhaustive analysis (f75r as formal sneha-karma chapter intro, pool color = drug vehicle encoding); COSMO exhaustive analysis (28-oval wheel, star-shape transition, zodiac 6/12 rāśi = 6-month pharmaceutical window); Rosette full decode; PHARMA exhaustive analysis (agada-tantra boundary, mineral pairs); pharmaceutical calendar cross-reference (bimodal Māghā/Śrāvaṇa, makha+makhea = 34 BALNEO tokens = peak execution window); RECIPE BM parallel (91% chapter accountability, 30 formula clusters); HERBAL exhaustive (98/110 proposed IDs, 29 HIGH-confidence). All claims tiered; Match 16 retracted after DB audit. Team B audit passed. Supplementary zip includes 9 new analysis files and V6 reviewer blind challenge (54 lines, 6 sections).

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Cite This Study

Kameldip Singh Basra (2026) studied this question.

synapsesocial.com/papers/6a06b8dfe7dec685947ab4e6https://doi.org/10.5281/zenodo.20165134
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