**Transformers‑Guided Contextual Citation Classification for Biomedical Scientific Reviews**

1. Introduction Systematic reviews and meta‑analyses in biomedicine demand exhaustive extraction of citation semantics from thousands of research articles. Traditional manual curation is labour‑intensive and error‑prone. Automation of citation context classification directly yields structured evidence ready for integration into AI‑driven decision support systems, clinical guidelines, and pharmacovigilance pipelines. However, the heterogeneity of citation styles, the subtlety of semantic cues, and the sheer volume of literature pose significant challenges...