deep-paper-reading

The system extracts paper content and external metadata to produce a structured Chinese Markdown report that includes background, methodology, experiments, and evidence-grounded critique sections.

Yes, the system preserves original figures from arXiv articles and technical reports, inserting them into the analysis paragraphs and saving original images in a generated asset folder for reference.

External verification for paper analysis works by performing lookups to validate author backgrounds, code availability, and dataset sources, explicitly annotating these external sources in the final Markdown report.

Yes, this deep reading tool requires the pymupdf dependency to process conference and journal papers, relying on this library to access and parse the internal content of the provided PDF documents.

The best way to critique technical reports with evidence-based markdown output is to provide a PDF, DOI, or URL, allowing the system to combine internal content with external checks to deliver a grounded Markdown critique file.

A limitation of automated paper analysis for external code availability checks is that it depends on external lookups, meaning it can only verify and report metadata that is publicly discoverable and accessible online.