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InCoder-32B-Thinking: Industrial Code World Model for Thinking

Research paper by Jian Yang and collaborators. Published 2026-04-03. Topics: Error-driven Chain-of-Thought, industrial code world model, reasoning traces, Verilog simulation, GPU profiling.

Resource information

Authors
Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Tuney Zheng, Fanglin Xu, Weicheng Gu, Lin Jing, Yaxin Du, Joseph Li, Yizhi Li, Yan Xing, Chuan Hao, Ran Tao, Ruihao Gong, Aishan Liu, Zhoujun Li, Mingjie Tang, Chenghua Lin, Siheng Chen, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv
Research topics
Error-driven Chain-of-Thought, industrial code world model, reasoning traces, Verilog simulation, GPU profiling, self-verification, causal dynamics, execution outcomes, domain toolchains
Publication date
2026-04-03
Publication
arXiv
Last record update
Nov 3, 2026