mj-paper-flow

Automating arxiv paper analysis involves processing URLs or PDFs to extract text and generate structured Lark Doc analyses alongside visual sketchnote PNG cards. This workflow eliminates manual tool switching by handling reading, summarization, and card creation end-to-end.

Processing multiple academic papers in parallel requires executing paper reading tasks simultaneously, then handling visual card generation and document embedding sequentially. This approach balances processing speed with the aesthetic quality of the generated visual cards.

Lark Docs can automatically embed visual sketchnote cards generated from PDF analysis. The workflow structures the written paper analysis directly within the document and inserts the corresponding PNG visual cards into the appropriate sections.

Cost-optimized model routing for academic research workflows assigns cost-effective models like Sonnet for text-heavy paper reading tasks, while reserving advanced models like Opus specifically for high-quality visual card generation to minimize overall inference costs.

Manual formatting of Lark Docs is unnecessary after automated paper analysis. The workflow directly outputs structured written analyses and automatically embeds the generated visual summary cards into the corresponding document sections without user intervention.