zifangchen

Find, rank, summarize, and track high-quality research papers with Scholar MCP, accept user-submitted PDFs, DOIs, or links through a persistent local inbox as special-interest signals, then create evidence-rich bilingual Feishu deep-read documents with detailed abstracts, contributions, methods, figures, and verified links using lark-cli. Use for recurring paper recommendations, weekly research digests, receiving papers directly from the user, processing paper feedback, changing research interests, or creating detailed paper notes in Feishu.