academic-paper-agent

You can retrieve scholarly papers by providing targeted search keywords to this agent, which queries the arXiv database and extracts metadata like titles, authors, dates, abstracts, and direct arXiv URLs.

When retrieving academic research papers, the extracted metadata includes the paper's title, authors, publication date, abstract summary, and a direct arXiv URL for scholarly evidence and citations.

Yes, you can use this agent to find scholarly papers on any topic indexed by the arXiv database, such as multi-agent LLM systems or coordination mechanisms, by providing specific search keywords.

Yes, the arXiv API has strict rate limiting for citation retrieval, and this agent automatically adheres to these usage limits to ensure continuous access to scholarly paper metadata.

The best way to search arXiv for peer-reviewed papers on multi-agent LLM systems is using targeted keyword searches, which quickly retrieves relevant papers on coordination mechanisms and evaluation benchmarks with direct links.

Your arXiv scholarly paper search may return limited results because the agent enforces strict rate limiting on API requests, and the results are constrained by the specificity of your targeted search keywords.