SOURCE-LINKED INTELLIGENCE
Positioning manuscripts in the scientific landscape with agentic AI
Publishing a research manuscript is a routine yet demanding part of scientific life: time-consuming, stressful, and often uncertain in outcome. Recent advances in large language model (LLM)-based agentic AI have shown promise across a range of scientific tasks, and here we ask whether agentic AI can help researchers navigate the publication process itself by reliably inferring a manuscript's eventual publication venue from its content and literature context. We introduce PASS (Publication-oriented Agentic Scientific System), an agentic system that understands manuscripts within their domain-sp
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T07:10:14.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.