paper-summary

To extract key findings from an arXiv paper without hallucinations, use a structured summarization approach that demands source-only evidence. This Skill grounds each claim directly in the text with location markers, ensuring reliable academic reporting.

Yes, you can summarize a local PDF for a Chinese academic literature review. The Skill processes local PDF inputs and arXiv links to output structured Chinese summaries covering research problems, methodology, and experimental results.

The best way to extract methodology and quantitative results is using an evidence-grounded extraction tool. It identifies specific research methods and quantitative numbers while explicitly marking any missing details as unreported to maintain accuracy.

No, the paper summary tool does not support batch processing for multiple PDFs. It is designed for single academic paper analysis to ensure strict source-only extraction and high-quality evidence alignment without compromising output reliability.

Evidence extraction handles missing information by inserting mandatory fallback text indicating details are unreported. It also runs internal self-evaluations to detect high hallucination risks, triggering up to two rounds of targeted refinement.

You need evidence-aligned location markers when preparing literature reviews or relevance screening materials. Providing paragraph, table, or figure references ensures every extracted contribution and limitation is verifiable directly against the original paper.