AI RESEARCH
AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
arXiv CS.LG
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ArXi:2605.21481v1 Announce Type: cross Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs, placing increasing strain on traditional academic publishing systems and challenging the scalability of conference- and journal-centered paradigms amid rising submission volumes, reviewer workload, and venue size. To address these challenges, we explore an AI-era publishing paradigm in which both human and AI scientists participate as authors and readers, and papers evolve through continuous, feedback-driven iteration.