Ento-Linguistics: Language, Ambiguity, and Scientific Communication in Entomology: How Terminology Networks Shape Understanding of Insect Biology (And Vice-Versa)

Release v1.1.1 of the Ento-Linguistics research project. Corpus: 7,609 PubMed abstracts (full search surface drained), 7,073 PMC open-access full texts, 2,460 BHL historical documents (1850–1970), 61 arXiv preprints, 536/536 OpenAlex citation enrichments. The manuscript is fully token-driven: all corpus statistics are injected at PDF build time from pipeline artifacts (strict mode; no hard-coded values). v1.1.1 adds: pruned and parallelized language-analysis stages (the statistics/full-text stages drop from hours to ~25 min), corpus-fingerprint freshness guards for both statistical artifacts, a dry-run-only manuscript variable validator, and regenerated figures, statistics, and PDF.