database-check

You can validate your literature database by cross-referencing index.yaml and references.bib against actual files, checking folder naming conventions and file presence to identify missing PDFs and metadata inconsistencies.

Literature database integrity validation is the process of verifying structural consistency by cross-referencing index.yaml and references.bib with actual files, reporting issues with severity levels to highlight missing entries and broken cross-references.

Yes, you need Python 3.10+ and the PyYAML dependency installed to run a literature database integrity check, as PyYAML is required for parsing YAML files and performing structural validation checks on the database contents.

To validate index.yaml cross-references against references.bib entries, run a full integrity check on the references directory to verify that all metadata entries have corresponding folders and BibTeX entries are correctly linked.

Common literature database maintenance issues after adding new papers include missing PDFs and summaries, index.yaml entries lacking corresponding folders, and incorrectly linked BibTeX entries, which are reported with severity levels.

Yes, you can use this validation script for ongoing literature review maintenance by running it after adding batches of new papers to automatically verify file presence, confirm metadata consistency, and report structural sync issues.