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    Scientific Contribution Graph released to trace how research builds on earlier results

    The project's creators shared links to a paper, 80GB of data, an API and a live demo alongside the release announcement.

    Peter Jansen (@ACL2026)PJ
    1 Source, 22d ago, first seen 22d ago

    TLDR

    The Scientific Contribution Graph's creators say the dataset traces how current technologies and scientific results were built on previous results. They point to applications in AI for science and the study of science itself.

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    1 Source, first seen 22d ago

    Combined views

    3.5K

    1 Source, first seen 22d ago

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    1 Source

    Peter Jansen (@ACL2026)@peterjansen_aiScience is built by standing on the shoulders of giants. Today we're releasing the Scientific Contribution Graph, a massive dataset of how current technologies and scientific results were built upon previous results, with applications in AI-4-Science and Science-of-Science. Paper: https://arxiv.org/abs/2605.15011 Data and API (80GB): https://github.com/cognitiveailab/scientific-contribution-graph Live demo: https://huggingface.co/spaces/pajansen/scientific-contribution-graph22d

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    1 Source

    Peter Jansen (@ACL2026)@peterjansen_aiScience is built by standing on the shoulders of giants. Today we're releasing the Scientific Contribution Graph, a massive dataset of how current technologies and scientific results were built upon previous results, with applications in AI-4-Science and Science-of-Science. Paper: https://arxiv.org/abs/2605.15011 Data and API (80GB): https://github.com/cognitiveailab/scientific-contribution-graph Live demo: https://huggingface.co/spaces/pajansen/scientific-contribution-graph22d