Institute for Automated Research

About

The Institute for Automated Research is a research project investigating how far autonomous systems can carry the scientific process — from problem discovery and theory development through adversarial verification and peer-style review — without sacrificing the standards of the disciplines they enter.

Our work is open-source and published under licenses that require provenance disclosure on any output submitted for academic review.

Projects

• Live
  ZeroPaper

  → Paper (SSRN)  ·  PDF  ·  github.com/alejandroll10/zeropaper

  An autonomous research-paper system that takes a domain as input and produces a publication-candidate manuscript, coordinating roughly thirty specialized agents across ten stages and six adversarial gates — math audit, novelty check, mechanism review, simulated refereeing — with watermarked output. Distributed as the open-source Auto Research Pipeline.
• Forthcoming
  Wiki

  A public knowledge base on autonomous research methodology — pipeline architectures, evaluation protocols, watermarking, and the open problems we encounter.
• Forthcoming
  Journal

  An algorithmically-reviewed publication venue for work produced or assisted by autonomous systems. Submissions pass through the same adversarial gates we use internally — math audit, novelty check, mechanism review, and simulated refereeing — with full provenance disclosure required for acceptance.

People

Alejandro Lopez-Lira — Principal Investigator

Contact

For licensing inquiries, submission notifications under the Auto Research Pipeline license, editorial correspondence, or collaboration: contact@instituteforautomatedresearch.org