FARS: A Fully Automated Research System Deployed at Scale

• URL: http://arxiv.org/abs/2606.31651v1
• Date: Tue, 30 Jun 2026 13:30:24 GMT
• Title: FARS: A Fully Automated Research System Deployed at Scale
• Abstract summary: We present FARS (Fully Automated Research System), a fully automated AI-for-AI research system.<n> FARS autonomously generates and advances projects through ideation, planning, experimentation, and writing.<n>In its first public deployment, FARS produced 166 complete research papers spanning 67 fine-grained AI/ML topics.
• Score: 19.413175066072302
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent automated research systems show that language-model agents can generate hypotheses, run experiments, and write complete manuscripts, but most evidence still comes from selected examples, human-framed topics, or a few pre-defined research tasks. We present FARS (Fully Automated Research System), a fully automated AI-for-AI research system designed to operate across research topics at scale. FARS autonomously generates and advances projects through ideation, planning, experimentation, and writing, using stage-specific agents coordinated through a shared workspace that records proposals, code, logs, results, and manuscripts. In its first public deployment, FARS produced 166 complete research papers spanning 67 fine-grained AI/ML topics while preserving intermediate artifacts as an auditable corpus rather than a curated set of successes. We evaluate this corpus with 282 structured reviews from volunteer reviewers covering 140 papers, including overall ratings, sub-scores, integrity checks, and LLM-use disclosure. The reviews indicate that FARS can produce review-worthy and occasionally strong AI/ML research artifacts in a large-scale public deployment, while also exposing recurring failure modes in narrow experimental scope, methodological limitations, and integrity issues.

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