What problem does it solve? Reading and evaluating research papers manually is time-consuming, and keeping notes, figures, and paper relationships organized in a knowledge base requires repetitive manual effort. ## Core Features & Use Cases - Deep Paper Analysis: Downloads arXiv PDFs and TeX sources, extracts metadata, and produces comprehensive notes covering methodology, experiments, limitations, and scoring. - Illustrated Obsidian Notes: Extracts all figures from the paper, saves them to an images directory, and generates notes with proper frontmatter, wikilinks, and Chinese translations. - Knowledge Graph Updates: Adds paper nodes and relationship edges to a graph_data.json file to track connections between related papers. - Use Case: Given an arXiv ID like 2402.12345, automatically produce a fully structured Chinese-annotated note in your Obsidian vault with figures, quality scores, and links to related work. ## Quick Start Analyze the arXiv paper 2402.12345 and generate a detailed illustrated note in my Obsidian research vault.