AI Research Papers

Connected Papers

A visual discovery tool for exploring academic papers and related research in a field.

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Connected Papers

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What is Connected Papers?

Connected Papers is a research discovery tool that helps users explore academic literature through visual graphs of related papers, supporting literature review, field exploration, and bibliography building.

Connected Papers vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
Key Features
  • Visual graph of related academic papers
  • Prior works exploration
  • Derivative works exploration
  • Semantic search over academic papers
  • Hybrid keyword and semantic search
  • Curated landmark papers for quick starts
  • Interactive 2D map of 3M arXiv papers
  • Real-time pan and zoom
  • Cached for instant interaction after load
  • Jacobian lens for interpretability
  • Works with Qwen 0.5B–3B and Pythia 1.4B
  • Top concepts per layer and position
Pros
  • Makes literature exploration visual and intuitive
  • Helpful for finding related, prior, and derivative papers
  • Semantic search improves discovery of relevant papers
  • Curated landmark papers provide good starting points
  • Visual exploration of vast paper dataset
  • Fast once cached
  • Runs entirely in the browser
  • No account or payment required
Cons
  • Not a full academic database by itself
  • Depends on underlying paper coverage and metadata
  • Limited to academic papers, primarily in AI and CS
  • No explicit pricing or account details visible
  • Heavy initial load (45 MB)
  • Limited to life sciences and medicine
  • Limited to small models (up to 3B parameters)
  • Requires understanding of LLM concepts for full use
Best For
  • Researchers
  • Graduate students
  • Researchers and students in AI and computer science
  • Literature review and paper discovery
  • Researchers in life sciences and medicine
  • Students exploring scientific literature
  • AI researchers
  • Interpretability engineers

How to use Connected Papers?

  1. 1Enter a representative academic paper to generate a related-paper graph.
  2. 2Explore the graph to identify influential, prior, and derivative works.
  3. 3Open interesting papers and create additional graphs to expand your view of the field.
  4. 4Use the prior works and derivative works views to refine your literature search.
  5. 5Save useful papers to help assemble a bibliography or reading list.

Connected Papers Key Features

  • Visual graph of related academic papers
  • Prior works exploration
  • Derivative works exploration
  • Bibliography-building support
  • Field discovery across many scientific disciplines
  • Uses Semantic Scholar paper data

Connected Papers Use Cases

  • Exploring a new research area
  • Finding important papers you may have missed
  • Building a thesis bibliography
  • Tracing foundational prior work
  • Finding recent reviews and state-of-the-art papers
  • Creating a reading list for literature review

Connected Papers Pricing & Free Credits

Connected Papers currently operates on a Free model.

This tool is completely free to use

Free

Free

The website presents the tool as free to use; no paid tiers are listed on the provided page.

Connected Papers Pros & Cons

Pros

  • Makes literature exploration visual and intuitive
  • Helpful for finding related, prior, and derivative papers
  • Useful across many scientific fields
  • Good for thesis and review research workflows

Cons

  • Not a full academic database by itself
  • Depends on underlying paper coverage and metadata
  • Best results start from a strong seed paper

What is Connected Papers best for?

  • Researchers
  • Graduate students
  • PhD candidates
  • Literature review writers
  • Academic librarians
  • Data-driven science explorers

Connected Papers FAQ

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