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Kept context-switching between arxiv, OpenReview, GitHub, and HuggingFace for every paper, so I built this. Chrome extension + website with everything inline, plus citation graph + SPECTER2 neighbors. 3M papers, free, feedback welcome [P]

/u/RegretAgreeable4859 2026年05月28日 22:21 4 次阅读 来源:Reddit r/MachineLearning

Spent the last few months building a deeper context layer over arxiv. Each paper gets a Tomesphere page with a TLDR + key findings (LLM-curated), OpenReview reviews where the venue is public, linked GitHub repos, HuggingFace models, conference videos, the citation graph in both directions, and a SPECTER2-based semantic neighbor graph. Same panel renders inline on arxiv via a Chrome extension (MV3 side panel API), or you can browse directly at tomesphere.com. 3M arxiv papers indexed. Caveats: reviewer scores only cover venues that publish openly on OpenReview (NeurIPS, ICLR, ICML, TMLR, COLM). Blind-review venues like CVPR, AAAI, ECCV are out of scope until contributors fill them in. GitHub, Hugging Face, and conference video matches are best-effort. Free, no signup. Site: tomesphere.com Chrome: chromewebstore.google.com/detail/tomesphere/nopoigoclhjcopjppnehidnkljmabllk Would love feedback, especially: which paper did you check first, and what's missing that you'd actually use? submitted by /u/RegretAgreeable4859 [link] [留言]

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