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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Geometric-Syllabic Patterns in Linear A: A Machine-Assisted Decipherment of the Haghia Triada Archive - Version 5.0

Authors: Ronald Joseph Brazil II, Ron Brazil;

Geometric-Syllabic Patterns in Linear A: A Machine-Assisted Decipherment of the Haghia Triada Archive - Version 5.0

Abstract

For over a century, the Minoan script known as Linear A (c. 1800–1450 BCE) has remained one ofarchaeology’s greatest uncracked codes. Traditional decipherment attempts have largely focused onphonetic matching to single language families in isolation, yielding fragmented results. This paperproposes a fundamental shift in methodology: from Linguistic Reconstruction to ForensicAccounting, viewing Linear A not as a monolithic language, but as a Trade Creole—asophisticated administrative hybrid. Utilizing the LUMENARY Cognitive Execution System (CES™) and the proprietary PHOENIXSCANNER™ visual reconstruction engine, we analyzed the Haghia Triada (HT) corpus as a closedloopmathematical system. Our analysis reveals a civilization at the crossroads of the ancient world,synthesizing Mesopotamian accounting formats, Egyptian visual logograms, WestSemitic commercial vocabulary, and Luwian (Anatolian) grammatical structure into a unifiedoperating system. Our findings demonstrate: A Geometric Fraction Key (The "Brazil Hypothesis") that resolves sub-unit values based onvisual shape logic (1/2, 1/4, 1/8). A verified Accounting Syntax that successfully balances the KU-RO (Total) and KIRO(Deficit) ledgers on complex tablets. A coherent Phonetic & Grammatical Syllabary that, when applied to ritual vessels, yieldsintelligible sentences in a Luwian-Semitic hybrid dialect. This paper presents a functional decipherment of the administrative dialect of Linear A, achievedthrough a novel Human-AI symbiotic workflow.

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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