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ZENODO
Dataset . 2026
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY NC
Data sources: Datacite
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Ternary Logic Closes: Corpus, Documents, Process

Authors: Garrison, Greg;

Ternary Logic Closes: Corpus, Documents, Process

Abstract

TERNARY LOGICAL CLOSURE Complete research archive for the Ternary Closure framework including: (1) a 6,380,332 word conversational corpus with frequency-ranked lexical analysis, (2) statistical coherence tests (n-gram, POS sequence, semantic embedding, sentence fragment) with results, (3) documenting the Projection Inversion Theorem and and aproaches to Riemann Hypothesis and other results via ternary closure, (4) Wolfram Language analysis scripts, (5) an encrypted corpus viewer (AES-256-GCM, PBKDF2), and (6) GPG-signed SHA256 checksums for integrity verification. All files are signed with GPG key 736897086FA4FB21E8C20DBC82C16B5C25D5FB00. https://unveil-insight.org The author does not assert too many specific conclusions from this work, but rather lets it speak for itself as an interesting artifact to enter the public record. The work also may contain errors and unreasonable assertions but the underlying structure still shines through: a specific conclusion is invariant structure is that which survives noise. Conservation of invariants in arithmetic and physics is evidence of the Triadic Fixed Point. Greg Garrison, March 2026

Keywords

ternary closure, frequency coherence, spectral theory, corpus analysis, projection inversion theorem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average