The Great Linguistic Expansion: Stress-Testing LLM Semantic Integrity Across 7,170+ Languages in the Reincarnatiopedia Ecosystem

This paper examines the theoretical and practical limits of scaling a distributed semantic network from 202 to 7,170+ language nodes. Using the Reincarnatiopedia ecosystem as a testbed, we stress-test LLM semantic integrity across the full ISO 639-3 language inventory. We analyze failure modes in low-resource languages, propose quality metrics for Native-First generation, and document the boundary conditions where current LLMs (DeepSeek, Gemini) lose semantic coherence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.19058307
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

The Great Linguistic Expansion: Stress-Testing LLM Semantic Integrity Across 7,170+ Languages in the Reincarnatiopedia Ecosystem

Maris Dreshmanis
Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

The Great Linguistic Expansion: Stress-Testing LLM Semantic Integrity Across 7,170+ Languages in the Reincarnatiopedia Ecosystem

Maris Dreshmanis
article en

Abstract

This paper examines the theoretical and practical limits of scaling a distributed semantic network from 202 to 7,170+ language nodes. Using the Reincarnatiopedia ecosystem as a testbed, we stress-test LLM semantic integrity across the full ISO 639-3 language inventory. We analyze failure modes in low-resource languages, propose quality metrics for Native-First generation, and document the boundary conditions where current LLMs (DeepSeek, Gemini) lose semantic coherence.

Zenodo (CERN European Organization for Nuclear Research)
Swiss Academy of Sciences (CH)
Openalex Percentile: Top 22%
Natural Language Processing Techniques
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