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•1 min read•from Machine Learning

Tomesphere, 3M paper pages with TLDRs, peer reviews, code, and a SPECTER2 similarity graph [P]

Built a richer paper page for 3 million arxiv and OpenAlex papers. Free, no signup, no paywall. tomesphere.com

Each page has a Gemini generated TLDR, peer reviews scraped from OpenReview with reviewer scores and decisions, GitHub repos, HuggingFace models and datasets, conference videos, the citation graph from OpenAlex (about 250M edges), and a semantic graph using SPECTER2 (768D in pgvector) with four ranking modes: Influential, Recent, Hidden gems, Nearest.

Connected Papers and Litmaps default to citation overlap. Tomesphere defaults to text vector similarity, so brand new papers without a citation graph still appear and topically similar work shows up even without shared citers.

Chrome extension overlays the same data on arxiv abstract and pdf pages.

Try a paper you know:

tomesphere.com/paper/2312.00752 (Mamba)

tomesphere.com/paper/1706.03762 (Attention)

tomesphere.com/paper/2305.14314 (QLoRA)

Open to feedback.

submitted by /u/RegretAgreeable4859
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