What question did this study set out to answer?

This research aims to assess the limits of LLM semantic integrity across a wide range of languages.

March 22, 2026Open Access

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

Key Points

This research aims to assess the limits of LLM semantic integrity across a wide range of languages.
Utilized the Reincarnatiopedia ecosystem as a testbed for analysis
Conducted a stress test of LLMs across 7170+ languages
Analyzed failure modes in low-resource languages
Proposed quality metrics for Native-First generation
Identified failure modes that affect LLM performance
Established quality metrics for evaluating semantic integrity

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. Version 2.0 — revised per Diamond Standard (30-block academic structure). Reviewed by multi-model AI Consilium.

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Cite This Study

Maris Dreshmanis (Sat,) studied this question.

synapsesocial.com/papers/69bf390ac7b3c90b18b431a6 https://doi.org/https://doi.org/10.5281/zenodo.19140874

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