ar-citation-verifier

To verify citation faithfulness, this Skill maps every in-text citation to its reference entry and cross-checks claims against reading notes and web sources. It classifies each citation as verified, misrepresented, or exaggerated and outputs a human-readable summary with suggested corrections.

Checking academic writing for citation misrepresentation involves evaluating context against evidence units and external sources. This workflow identifies exaggerated or distorted claims, generating a machine-readable citation_verify_report.json to ensure citation fidelity during peer review.

Automating reference checks is best handled by extracting and mapping in-text citations to verified references. This process evaluates claim accuracy using reading notes and evidence units, producing a structured JSON report and a summary with suggested corrections for journals and research teams.

This citation verification workflow does not require external dependencies or components. It operates as an Advanced Skill within the workspace, using your draft manuscript and available reading notes to evaluate citation integrity and generate the verification report.

Generating a machine-readable citation verification report requires mapping in-text citations to references and cross-checking claims. The workflow outputs a citation_verify_report.json file alongside a human-readable summary containing suggested corrections for misattributed information.

You can use this Skill to assess citation fidelity for research teams aiming to improve accuracy before submission. The workflow handles context-aware evaluation using reading notes and external sources, classifying citations to ensure scholarly writing meets peer-review standards.