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

Reddit r/MachineLearning Tools

Summary

Tomesphere is a free tool that enriches arXiv and OpenAlex paper pages with Gemini-generated TLDRs, peer reviews, code repos, and a SPECTER2 similarity graph for discovery.

Built a richer paper page for 3 million arxiv and OpenAlex papers. Free, no signup, no paywall. [tomesphere.com](http://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](http://tomesphere.com/paper/2312.00752) (Mamba) [tomesphere.com/paper/1706.03762](http://tomesphere.com/paper/1706.03762) (Attention) [tomesphere.com/paper/2305.14314](http://tomesphere.com/paper/2305.14314) (QLoRA) Open to feedback.
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