alphaXiv

alphaXiv is a community layer over arXiv that ties papers to their authors and institutions. It offers a trending paper feed with concise takeaways, researcher profiles to follow, and organization pages, aimed at readers who want to triage new preprints quickly and see who is behind them.

alphaXiv is a discovery and discussion layer built on top of arXiv. Rather than replacing the preprint server, it reorganizes it: papers, the researchers who wrote them and the organizations behind them are connected in a single interface, and the answers the platform gives are grounded in those underlying works rather than floating free of them. The homepage frames the product around three questions a reader typically arrives with: what is worth reading, who is working on a given problem, and what a grounded literature review would say. The core experience is a browse feed of recently published papers. Each entry carries a short plain-language takeaway of the contribution, the author names with links to their profiles, and the affiliated organizations, whether that is Stanford, KAIST, ETH Zurich, Tsinghua, UC Berkeley, NVIDIA, Columbia or others. Papers surface signals such as view counts, reactions and links out to code repositories, which makes it easier to judge where attention is actually concentrating before committing to a full read. A separate researchers directory lets a reader follow specific people, from well-known figures in the field to PhD students, and see their roles and affiliations in one place. Individual profiles and organization pages act as hubs that collect a person or lab's output. This suits graduate students, research engineers and technical leads who track fast-moving areas and want a lighter way to triage new work than paging through the arXiv listing. It is not a writing or summarization chatbot for general audiences, and it does not host the papers themselves; it is an orientation tool layered over existing preprints. Compared with a plain arXiv subscription or a citation manager, the emphasis here is on the social and organizational graph around the research and on concise framing of what each paper claims, rather than on archival storage or reference formatting.