Scaling Semantic Resilience: A Case Study in 200-Node Global Knowledge Distribution and AI-Benchmarking

Author

Maris Dreshmanis

ORCID 0009-0003-8151-4088
ISNI 0000 0004 9280 9121
Affiliation Academy of Reincarnationology | Independent Researcher
Academia.edu independent.academia.edu/MarisDreshmanis
GitHub github.com/MarisDreshmanis
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Publication Details

DOI 10.5281/zenodo.19140876
Zenodo Record https://zenodo.org/records/19140876
Published 2026-03-16
License CC BY 4.0

Abstract

This paper presents a case study of deploying and maintaining a 200-node distributed semantic network (Reincarnatiopedia) across 202 language-specific subdomains, integrating a real-time AI benchmarking system and a pedagogical framework designed to reduce technical literacy barriers.

Keywords

distributed knowledge networks; multilingual AI benchmarking; semantic resilience; WordPress Multisite; hreflang optimization; native-first content generation; E-E-A-T; large language models


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