ref-context

You can verify citation context in an academic paper by using Python extraction, targeted web searches, and sub-agent analysis to ensure citations align with their associated sentences and prevent incorrect author attribution or year discrepancies.

Citation context verification checks if sentences containing citations accurately reflect the cited works. It works by extracting references using Python, running targeted web searches for each source, and applying sub-agent analysis to evaluate contextual alignment.

Yes, you can check citations in a .docx manuscript for research integrity. The process uses the python-docx dependency to extract text and references from Word documents, then validates each citation's contextual relevance through web searches and sub-agent evaluation.

To catch incorrect author attribution or year discrepancies in citations, run a multi-stage validation pipeline that performs targeted web searches for each reference and uses sub-agent analysis to verify that the cited works match the surrounding text's claims.

Yes, you need the python-docx library installed to check references in your academic paper. The Skill relies on this dependency to extract text and citations from .docx files before performing web searches and sub-agent contextual analysis.

Automated citation context checking limitations include reliance on targeted web search results for reference validation, meaning that paywalled or offline sources may restrict the sub-agent's ability to verify contextual alignment accurately.