cs.AIMay 20, 2026

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists

Authors: Junshu PanPanzhong LuYixuan WengQiyao SunFang GuoZijie YangQiji ZhouYue Zhang

Organizations: 1Westlake University · 2Zhejiang University · 3Shanghai Innovation Institution · 4Zhongguancun Academy

Abstract

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.

Explore similar work

CardsList
  1. AI for Auto-Research: Roadmap & User Guide

    May 18, 2026Lingdong Kong, Xian Sun, Wei Chow +17AutoresearchPapers

  2. The Last Human-Written Paper: Agent-Native Research Artifacts

    Apr 27, 2026Jiachen Liu, Jiaxin Pei, Jintao Huang +34AutoresearchPapers