Structural Certification for Reliable Physical Design with Language Models 文章

ArXiv CS.AI2026-06-30PAPERen作者: Nakul Vyas, Iliya D. Stoev

详细信息

来源站点
ArXiv CS.AI
作者
Nakul Vyas, Iliya D. Stoev
文章类型
PAPER
语言
en
发布日期
2026-06-30

摘要

arXiv:2606.30107v1 Announce Type: new Abstract: An unreliable language model can be made to produce reliable physical designs if the authority to assert is moved out of the model: the model proposes, and a deterministic engine alone certifies, returning certified, impossible, or unknown. We introduce Physics-Anchored Certification (PHACT), a propose-certify loop spanning five scientific domains, and identify what makes such a certificate trustworthy. A checker that accepts a model-supplied value can be forged; deriving the certified quantity from fixed inputs instead makes forgery impossible by construction. Across eighty adversarial trials spanning two models, two decoding temperatures, and a deliberately faulted engine, this contract produced zero false certifications.