Torsten > 08-09-2026, 11:04 PM
Quote:Technical rebuttal: semantic density and the “Naibbe” verbosity constraint." Cryptologia, ahead-of-print(ahead-of-print), pp. 1–2
Quote:I’m pleased to share that my paper, “Technical Rebuttal: Semantic Density and the ‘Naibbe’ Verbosity Constraint,” has been accepted for publication in Cryptologia and is now in production with Taylor & Francis.
The paper examines a focused technical question in Voynich Manuscript research: whether short, compact Voynich-like ciphertext units can, in principle, preserve greater local information density than the Naibbe cipher model appears to permit.
Using a deliberately limited toy model, I illustrate how a cipher architecture incorporating positional behavior, nulls, permutation, and abbreviation could encode more plaintext information while retaining compact ciphertext forms.
The paper does not claim a decipherment of the Voynich Manuscript. Its purpose is narrower: to clarify what conclusions can—and cannot—be drawn from the Naibbe model regarding the possible information density of alternative Voynich-like cipher systems.
Koen G > 09-09-2026, 08:00 AM
nablator > 09-09-2026, 09:18 AM
Torsten > 10-09-2026, 12:11 AM
Mauro > 10-09-2026, 12:42 PM
(10-09-2026, 12:11 AM)Torsten Wrote: You are not allowed to view links. Register or Login to view.Underneath all four is a point I'd expect the letter to address: no cipher can recover more information from a ciphertext than the ciphertext contains.
Torsten > 10-09-2026, 03:02 PM
(10-09-2026, 12:42 PM)Mauro Wrote: You are not allowed to view links. Register or Login to view.Strictly, this is not correct. Ie. with a You are not allowed to view links. Register or Login to view. cipher the cyphertext contains zero information, yet the full message can be recovered (in this case, all the information is in the key).
magnesium > 10-09-2026, 03:07 PM
(10-09-2026, 12:11 AM)Torsten Wrote: You are not allowed to view links. Register or Login to view.Has anyone here got access to the full text yet?
Torsten > 10-09-2026, 03:31 PM
(10-09-2026, 03:07 PM)magnesium Wrote: You are not allowed to view links. Register or Login to view.Yes. The extent of the treatment of the "toy model":
magnesium > 10-09-2026, 04:00 PM
(10-09-2026, 12:11 AM)Torsten Wrote: You are not allowed to view links. Register or Login to view.I haven't got the letter yet, so this is based on the author's own summary on LinkedIn.
Taking the four devices in turn:
Abbreviation is the only one that clearly raises density. But it raises entropy too — abbreviation removes the redundant material that makes characters predictable from context. Voynichese sits well below plain Latin already. The one device that buys density moves h2 further from the target.
Permutation preserves h1 and should push h2 up toward it by destroying sequential regularity. A strictly deterministic permutation leaves structure intact but adds no concealment. Either way, permutation is length-preserving — it can't increase plaintext-per-glyph.
Positional behaviour puzzles me for a different reason. For position to carry semantic load you need the same glyph appearing contrastively in several slots, so that knowing the slot tells you something. Voynichese gives the opposite — knowing the glyph mostly tells you the slot.
Nulls lower entropy by adding predictable padding — but they lower density by definition, since they carry no plaintext. So the list contains one density-raising device (abbreviation) and one entropy-lowering device (nulls), and they work against each other.
This raises the key question: at what rate are nulls inserted, and is density computed per total glyph or per non-null glyph? If per non-null glyph, any density can be reached by declaring enough glyphs meaningless, while the entropy match is bought by the glyphs removed from the denominator.
Underneath all four is a point I'd expect the letter to address: no cipher can recover more information from a ciphertext than the ciphertext contains. The measured entropy of Voynichese is a ceiling on recoverable plaintext regardless of architecture. So was any text actually enciphered with the toy model, and are h1, h2, word-length distribution and type-token growth reported for the result?
Has anyone here got access to the full text yet?