KnowMe Paper Radar

Personalized arXiv reading with explainable scores, reusable local cache, and research context.

[Update 1.0.5] Faster cache access, retrieval and reloads, with visible progress and results retained when you stop. Trim the cache while keeping your top-ranked papers and favorites. New recent-author research fit, evolution timelines and an optional Scholar profile reference. Your research, your priorities Choose from LLM and AI research topics, or define your own keywords and exclusions. Ranking with evidence Multiple signals are weighted automatically, with base scores and personal preferences shown separately. Personal author and institution weights adapt to your interests and saved bibliography. Inspect the sources and missing evidence behind each score. Alongside the original page View evidence and author relationships for indexed papers on arXiv and Google Scholar results or profiles, and save favorites. Local data No account or model API key required. Cache, favorites and settings stay on your device. No telemetry or ads; online searches and evidence checks follow your actions. The main Radar workspace currently uses Chinese. Thank you to arXiv for use of its open access interoperability. Example papers, authors and institutions do not imply endorsement or partnership. The graph evolves with your local records. Website: https://hackerchenzhuo.github.io/knowme-research-ai/radar/