Kimi AI
Long-context AI research assistant capable of processing 200k+ word documents and web synthesis.
arXiv (pronounced “archive”) is the world’s preeminent open-access preprint server operated by Cornell University. Housing over 2.4 million scientific papers spanning computer science, artificial intelligence, physics, mathematics, and quantitative finance, arXiv serves as the primary distribution channel for cutting-edge AI breakthroughs months before formal peer-reviewed conference publication.
Core Research & Scholarly Features
- Rapid Preprint Dissemination: Researchers publish non-peer-reviewed preprints immediately, accelerating global knowledge exchange and priority claims.
- AI & Machine Learning Hub: The primary venue for foundational LLM, transformer, computer vision, and robotics papers (cs.AI, cs.LG, cs.CL, stat.ML).
- Automated PDF & TeX Source Access: Every article offers instant full-text PDF downloads, LaTeX source bundles, and citation export formats (BibTeX, EndNote).
- Versioned Submissions: Authors submit revisions and errata with transparent version tracking (v1, v2, v3) preserving complete research provenance.
Frequently Asked Questions
Are papers on arXiv peer-reviewed?
No. arXiv is an open-access repository for preprints and postprints. While papers undergo moderation to verify scholarly standards, formal peer review occurs separately at academic conferences or journals.
Is arXiv free for researchers and readers?
Yes. arXiv is completely free to read and submit, funded by Cornell University, the Simons Foundation, and member academic institutions globally.
How can I track new AI papers daily on arXiv?
You can subscribe to RSS feeds for specific categories like cs.CL (Computation and Language) or cs.AI (Artificial Intelligence), or utilize aggregator tools like arXiv Sanity and AlphaXiv.
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