Research Workflow

Automate academic paper discovery for your thesis by using this research workflow to query semantic search engines like Semantic Scholar and arXiv, which handles finding and downloading relevant literature automatically.

Yes, you can convert research PDFs to markdown automatically. The workflow downloads papers and converts them from PDF format into markdown, enabling easier reading and direct processing by AI subagents for summarization.

AI citation verification for academic writing works by deploying AI subagents to validate claims against source content. The workflow checks your thesis text to ensure all citations are accurately supported by the downloaded literature.

The best way to build a literature corpus for a PhD is using a structured research workflow that automates discovery, PDF conversion, AI summarization, and citation verification, efficiently maintaining your entire reference library.

Yes, you need API keys for semantic search. The workflow integrates with external APIs like Semantic Scholar and arXiv for searching and downloading papers, requiring environment setup via python-dotenv to manage these connections.

Limitations of using AI subagents for paper summarization include relying on the accuracy of PDF to markdown conversion via marker-pdf and pymupdf, meaning complex formatting or scanned images might degrade the quality of the generated summaries.