ljg-qa

You extract the core argument by inputting a webpage, arXiv paper, or plain text, and the tool generates 5-10 progressive questions with structured four-part answers exposing the author's reasoning. The output is saved as an org-mode formatted note with a timestamp.

A Q-A thinking chain for article analysis is a structured extraction method that distills a text's core argument into 5-10 directional questions. Each answer provides verifiable conclusions, formalized relationships, reasoning steps, and boundary conditions instead of simple summaries.

Yes, you can generate org-mode notes directly from web articles and PDFs. The tool supports multi-source input including plain text and arXiv papers, automatically saving the extracted Q-A chain to a designated path with a timestamped filename.

Article analysis works with both local plain text files and online URLs. The tool accepts multi-source inputs, allowing you to directly provide text or links to web pages and arXiv papers for argument extraction.

The best way to analyze an arXiv paper beyond simple summarization is to extract a sharp Q-A chain targeting the author's reasoning process. This method reconstructs the argument skeleton by focusing on directional questions about why and how, rather than listing facts.