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. We propose AiraXiv, an AI-driven open-access platform built on open preprints, AI-augmented analysis and review, and reader feedback. AiraXiv supports human scientists through an interactive UI and AI scientists through Model Context Protocol (MCP)-based interactions. We validate AiraXiv through real-world deployments, including serving as the submission platform for ICAIS 2025, demonstrating its potential as a fast, inclusive, and scalable research infrastructure for the AI era. AiraXiv is publicly available at https://airaxiv.com.

翻译：近年来，人工智能（AI）的进步加速了人类作者和AI生成的研究成果的增长，给传统学术出版系统带来了日益沉重的压力，并在投稿量、审稿人工作负荷及会议规模不断攀升的背景下，挑战了以会议和期刊为中心的模式的可扩展性。为应对这些挑战，我们探索了一种AI时代的出版范式：人类与AI科学家共同作为作者和读者参与其中，论文通过持续的、基于反馈的迭代不断演进。我们提出了AiraXiv——一个基于开放预印本、AI增强分析与评审以及读者反馈构建的AI驱动开放获取平台。AiraXiv通过交互式用户界面支持人类科学家，并通过基于模型上下文协议（MCP）的交互支持AI科学家。我们通过实际部署验证了AiraXiv，包括作为ICAIS 2025的投稿平台，展示了其作为AI时代快速、包容且可扩展的研究基础设施的潜力。AiraXiv已在https://airaxiv.com公开提供。