knowledge-paper-research

What problem does it solve?

This pipeline turns a scientific paper into a structured knowledge package by extracting bibliographic metadata, creating a metadata file, and generating thematic research outputs for deeper understanding and contextualization.

Core Features & Use Cases

• Structured extraction: parses title, authors, abstract, year, venue, DOI, sections, and references from PDFs or Markdown sources.
• Research packaging: creates a co-located metadata file next to the paper and a dedicated <stem>_research/ folder containing four thematic files plus author profiles.
• Web-context enrichment: performs web searches across multiple dimensions to build external context and related work for thorough understanding.
• Use Case: ideal for preparing research briefs, literature reviews, or enrichment of a manuscript with external context.

Quick Start

Provide the path to a paper (PDF or Markdown) to generate a metadata file next to the paper and a dedicated research folder with four thematic files plus per-author profiles.