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

TL;DR

AiraXiv is an AI-driven open-access platform designed to facilitate scalable, inclusive, and continuous research publication and review for both human and AI scientists, addressing current academic publishing challenges.

Contribution

This paper introduces AiraXiv, a novel platform integrating AI and human participation for evolving research dissemination and review in the AI era.

Findings

AiraXiv successfully served as the submission platform for ICAIS 2025.

The platform demonstrates potential for fast, inclusive, and scalable research infrastructure.

Real-world deployment validates its effectiveness in managing AI-era publishing challenges.

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.