(03-02-2026, 03:45 AM)justinpincar wrote: You are not allowed to view links. Register or Login to view.We present a round-trip encoding model for the Voynich manuscript—a bidirectional system achieving 99.6% coverage across 38,204 words. The model describes the encoding as Cₙ = f(Pₙ, Pₙ₋₁), where ciphertext depends on both the current and previous abstract plaintext symbols. We identify an alphabet of 21 symbols with 18 word-initial classes, demonstrate deterministic decryption, and validate through cross-validation (97.4%). Unlike prior generative approaches, our model produces exact original ciphertext through round-trip transformation: decrypt(encrypt(P)) = P. The abstract plaintext symbols are structural placeholders—we identify the encoding mechanism but not the underlying language. External evidence is needed to complete any decipherment.
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Thanks...
What the paper really shows is that Voynich words are highly regular and can be re-labelled in a consistent way using context. That’s interesting, but it’s something we’ve known for decades in different forms. It’s basically a tidy finite-state description of Voynich spelling.
The “round-trip” claim sounds dramatic, but it’s a bit of a trick. The abstract symbols are defined from the Voynich text itself, so of course you can map Voynich → symbols → Voynich without loss. That doesn’t mean there’s an underlying plaintext, a cipher, or even meaning, it just means the system is internally consistent.
Crucially, nothing external is recovered. No Latin, no German, no semantics, no historical key. The model explains Voynich in terms of Voynich, not in terms of anything outside it.
So, useful as a structural summary, yes. Evidence of encryption or decipherment, no. It tells us how the text is constrained, not what it says or why it exists.
Also, given then paragraph and bullet structures, written by ChatGPT... If you really want to test it, open a new window in GPT and ask it to "red team" or "aggressively peer review" your paper, and you'll see ...
