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SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification

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arXiv:2606. 04579v1 Announce Type: new Abstract: While Process Reward Models (PRMs) have achieved remarkable success in mathematical reasoning, their application in complex scientific domains-such as biology, chemistry, and physics remains largely unexplored.

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Authors: Xiangyu Zhao, Hengyuan Zhao, Yiheng Wang, Wanghan Xu, Yuhao Zhou, Qinglong Cao, Zhiwang Zhou, Lei Bai, Wenlong Zhang, Xiao-Ming Wu
Released: 2026-06-04 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: rate, chain, test, model. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.04579

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