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FARMS: A Verifiable Foundation for Automated Computational Science

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

Automated computational science could accelerate discovery by selecting, adapting and developing numerical methods. This prospect requires mathematical knowledge that AI systems can interpret and reuse with explicit guarantees. Here we present FARMS, a faithful and efficient foundation that transforms computational mathematics into AI-ready computing knowledge. FARMS connects formal statements to

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#74 most recent of 920 cs.AI papers we have recorded · ↑ newer: Comparing Human Role-Players and LLM-Simulated Clients in Online Couns · ↓ older: Advancing Clinical Genomic Analysis with a Skill-Centred Agent
Cite this page: FARMS: A Verifiable Foundation for Automated Computational Science: the #74 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/farms-a-verifiable-foundation-for-automated-computational-science.html
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