Skip to content

ms408 v0.1.0

Choose a tag to compare

View all tags
@timimsms timimsms released this 04 Aug 03:34
· 22 commits to main since this release
v0.1.0
b7f9e18

MS408 is a cold, reproducible evaluator and benchmark for hypotheses about the Voynich
Manuscript (Beinecke MS 408). It does not propose a solution. It gives the research community a
shared, honest way to test an idea — "is this a cipher of Latin?", "does my generator reproduce
the manuscript?" — and to see, reproducibly, exactly where the evidence stands. Matching the
manuscript is necessary, not sufficient: an in-band result means a hypothesis is not
excluded, never that it is the mechanism.

Highlights

  • ms408.evaluate(tokens) + the python -m ms408 CLI — score any word-token stream against
    the manuscript's discriminator bands and get a per-axis verdict with each axis's caveat
    attached     (the confounded ΔI, the token-sensitive TTR, the soft mid-level syntax axes are
    flagged and not counted, so the tool can't be quoted without its hedges).
  • python -m ms408.verify — reproduce the shipped reference numbers from committed code;
    --full rebuilds the bands.
  • A matched-control harness (real language, cipher, and null/meaningless generators) and a
    committed, firewall-built reference-band artifact.
  • The honest record as a feature — the archived clean-context refutation briefs document the
    discipline overturning the program's own conclusions, including a cipher-exclusion headline
    retracted after running a concurrently-published cipher (Greshko's Naibbe, 2025) through this
    very toolkit.
  • No decipherment, translation, or meaning claim. Ever.

Install

pip install ms408
python -m ms408.acquire          # pinned, checksummed reference data (consume-only)
python -m ms408 my_tokens.txt    # ≥1000 word tokens; prints a per-axis verdict

Core install needs only numpy / pandas / requests and makes no network calls on import. The
optional [vision] extra powers the annotation track.

Read more

  • Docs, tutorial, and the honest-limits page: https://ms408.direlabs.com
  • Methodology (harness + firewall + adversarial refutation): docs/METHODOLOGY.md
  • Preprints: the constraint-envelope paper (paper/v7) and the methods paper on adversarial
    self-correction (paper/methods/v3).

Notes

  • Requires Python 3.11–3.13.
  • Evidence-graded (A–D) throughout; every reported number is produced by deterministic, versioned
    code (the firewall). See docs/LIMITS.md before quoting any number.
  • License: Apache-2.0.
Assets 2
Loading