vr-literature-review

Automate an AI agents literature review by running multi-stage searches across Semantic Scholar and arXiv, performing snowball search citation traversal, and synthesizing full-text analysis into a comprehensive research landscape.

Citation graph traversal, or snowball search, maps an LLM research landscape by iteratively following reference networks between papers to identify foundational works, track field evolution, and ensure comprehensive topical coverage.

Perform full-text analysis of arXiv papers for a systematic literature review by reading the HTML versions to extract detailed contributions, methodologies, and limitations, moving beyond abstracts to enable deep research synthesis.

Yes, this literature review approach works for identifying research gaps in LLM reasoning evaluation by synthesizing taxonomy and performance landscapes to position your specific research topic within the existing field.

Using the Semantic Scholar API for snowball search requires network access and depends on API rate limits to successfully traverse citation graphs and retrieve metadata for deep AI research analysis.