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CNLT1 Canonical Normalized Lexical Transcription — README

Aziel Eliab · research, philosophy, Voynich · CNLT1 Canonical Normalized Lexical Transcription — README

Triad score

48

One combined report card after SPRE, CLCE, and PhysLing all ran.

TRIAD_V1 geometric mean: combined = (spre_pc × clce_consistency × plr_coherence)^(1/3). clce_consistency = CLCE.triple if triple ≥ 0.7 else pairwise_avg. plr_coherence = 0.6×physics_coherence + 0.4×linguistic_neutrality. Equal engine weight. Components stay stored for audit. Bayesian peer score and HEURISTIC possibility are separate unranked fields. How it's scored.

Status lights

Green means go. Yellow means read again. Red means stop and check. Easy enough for a 6th grader; kept for government use.

Structure — Green
Every file was hashed and checked.
SPRE — Green
Green: we can see where this file came from and what it is.
CLCE — Red
These stories do not fully match. The title, the notes, and the real file are talking about different stuff.
PhysLing Review — Green
Green: the words and the physics rules agree.
Poison — Green
Green: this does not look like a poison shell.

3f4cac06494abb43f91bed1c0029532b5296d0b8b2c643bed1234086075279b1.txt · 2026-09-18 01:48

SHA-256 3f4cac06494a… · chain tip · receipt

Download Counted download By hash API hash

SPRE + CLCE + PhysLing

SPRE PC 0.90 · strong

SPRE scores provenance completeness. It does not assert criminal guilt. Advisory only. Author Aziel Eliab.

CLCE triple 0.00 · pairwise 0.01 · structural_inconsistency

CLCE detects inconsistency, not intent. Type D is a label, not a finding of malice. Advisory. Threshold 0.7 is not a truth verdict.

PhysLing Review (PLR) PASS

units: PASSconservation: PASScausal: PASStemporal: PASSframing: PASS

PhysLing Review (PLR) flags physics-impossible or linguistically manipulative framing. It is a third review beside SPRE and CLCE. Not a court finding.

Snippet

CNLT-1: Canonical Normalized Lexical Transcription v1 22 Aug 2026 PURPOSE CNLT-1 is a structural proto-transcription, not plaintext. It rewrites each RF1b/CFST-1 token as: L=<left physical operator> | LEMMA=<anonymous invariant body ID>[<body>] | R=<right physical operator> | STATE=<5-state grammar class>. EVIDENCE FOR THE LEMMA LAYER 1. Internal family-body sequences agree between directly aligned ZL and GC tokens slightly more often than complete family sequences. 2. Across ZL, GC and RF, different edge-marked surface forms sharing the same internal body have significantly more similar non-adjacent within-line body contexts than frequency- and ending-state-matched forms with different bodies. 3. This direction holds in 15/15 page-group folds. 4. This supports treating the body as a lemma-like invariant for structural analysis. It does NOT establish pronunciation, language, or meaning. CONTEXT INVARIANCE TEST - Tokens: simple STA family sequences of length >=3. - Body: token sequence after removing one physical family at each edge. - Surface variants: distinct complete family sequences sharing a body. - Context: bodies at token distance 2..5 within the same physical line; immediately adjacent tokens excluded to avoid simply re-measuring the known edge grammar. - Metric: Jensen-Shannon divergence of context distributions. - Control: different-body surface forms matched approximately on frequency and final-family/state class. - Full corpus: one-sided paired Wilcoxon across eligible body families. - Robustness: five page-group partitions in each ZL/GC/RF corpus. INTERPRETATION CNLT-1 is the closest supported normalized transcription currently available in this project. Anonymous lemma IDs are deliberately semantic-free. Aziel Eliab research, philosophy, Voynich CNLT1 Canonical Normalized Lexical Transcription — README ABAD, Voynich, CNLT1, Aziel

Derived artifacts

Temporal-geospatial events

No mapped events extracted from this record.

AzielTether lattice tip
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  "spre": {
    "pc": 0.9,
    "band": "strong",
    "limitation": "SPRE scores provenance completeness. It does not assert criminal guilt. Advisory only. Author Aziel Eliab."
  },
  "clce": {
    "triple": 0,
    "pairwise_avg": 0.0144,
    "advisory": true
  },
  "plr": {
    "status": "PASS",
    "lights": {
      "units": "PASS",
      "conservation": "PASS",
      "causal": "PASS",
      "temporal": "PASS",
      "framing": "PASS"
    }
  },
  "triad": {
    "combined": 0.48,
    "display": 48,
    "ready": true,
    "formula": "TRIAD_V1 geometric mean: combined = (spre_pc × clce_consistency × plr_coherence)^(1/3). clce_consistency = CLCE.triple if triple ≥ 0.7 else pairwise_avg. plr_coherence = 0.6×physics_coherence + 0.4×linguistic_neutrality. Equal engine weight. Components stay stored for audit. Bayesian peer score and HEURISTIC possibility are separate unranked fields."
  },
  "bayesian": {
    "posterior": 0.6821,
    "unranked": true,
    "note": "Unranked metadata for manual peer-to-peer review. Never used to sort the shelf."
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  "possibility": {
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The live site is not a mesh. Tether software can carry this tip.

Bayesian peer score

0.682

Unranked metadata. This number is for manual peer-to-peer review. It does not sort the shelf. Posterior ≠ truth. Separate from possibility.

Priors: evidence 1 · physics 1 · language 0.86 · SPRE 0.9 · CLCE 0.0144

Possibility score

Refused: PENDING_ANCHORS

HEURISTIC over lattice time×geo pins. possibility ≠ probability ≠ triad ≠ ZionPattern. Not a guilt verdict. Not courtroom proof. Adaptive learning via hashchain lattice for recollection and reasoning. API · How it's scored.

Peer-to-peer review

Notes append to the hash-chain. Peers endorse or challenge; nobody rewrites the past.

No peer notes yet. Endorse or challenge without rewriting history.

Sign in to append a peer endorse or challenge. History stays append-only if the operator is gone one day.