mlsanityData to 14 Oct 2026

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

arXiv 2605.21481 ↗First posted 20 May 2026cs.AI cs.CL cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 25 of its 44 references that are in the map. First posted on arXiv 20 May 2026.

Builds on

25 of 44 references.

References · 25

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoverycited by 1,071
  3. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 631
  4. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 430
  5. 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 425
  6. 2025The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Searchcited by 422
  7. 2023Can large language models provide useful feedback on research papers? A large-scale empirical analysiscited by 200
  8. 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 164
  9. 2024CycleResearcher: Improving Automated Research via Automated Reviewcited by 148
  10. 2024AutoSurvey: Large Language Models Can Automatically Write Surveyscited by 119
  11. 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 118
  12. 2023Large Language Models for Automated Open-domain Scientific Hypotheses Discoverycited by 100
13 more
  1. 2025DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Processcited by 100
  2. 2025PaSa: An LLM Agent for Comprehensive Academic Paper Searchcited by 64
  3. 2025SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writingcited by 49
  4. 2024The Impact of Large Language Models in Academia: from Writing to Speakingcited by 18
  5. 2025OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientistscited by 18
  6. 2025Scientific Paper Retrieval with LLM-Guided Semantic-Based Rankingcited by 10
  7. 2025aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientistscited by 9
  8. 2025Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conferencecited by 8
  9. 2024Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authorscited by 7
  10. 2025SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Searchcited by 7
  11. 2025Deep Literature Survey Automation with an Iterative Workflowcited by 7
  12. 2026SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Promptscited by 4
  13. 2025Airalogy: AI-empowered universal data digitization for research automationcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
  2. 2025HIKMA: Human-Inspired Knowledge by Machine Agents through a Multi-Agent Framework for Semi-Autonomous Scientific Conferences
  3. 2026Towards Automating Scientific Review with Google's Paper Assistant Tool
  4. 2025ToolUniverse: An open platform for democratizing AI scientists
  5. 2026Positioning manuscripts in the scientific landscape with agentic AI
  6. 2026Towards End-to-End Automation of AI Research
  7. 2025SciSciGPT: Advancing Human-AI Collaboration in the Science of Science
  8. 2026The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing