How to optimize the references section in a paper through AI?

AI-assisted reference optimization enhances citation management through intelligent text analysis and database integration. This approach improves efficiency while reducing manual formatting errors. Key techniques include natural language processing for citation extraction and cross-referencing algorithms for metadata validation. Necessary conditions comprise access to comprehensive academic databases like Crossref or PubMed. Limitations arise with nonstandard formats or poor source text quality. Critical precautions mandate human verification of all AI-matched references to prevent automated errors. Implementation involves three core steps: extracting citations from manuscripts using text-mining tools; validating extracted entries against institutional subscriptions to DOI/ISBN databases; and applying style formatting via reference managers like Zotero or EndNote. Integration occurs during drafting or final editing stages, significantly expediting citation checks and bibliography consistency maintenance while allowing version tracking for collaborative papers.