Researchers have long struggled to effectively represent and generate Boundary Representation (B-rep) models, typically relying on complex, graph-based methods that separate geometry and topology. Now, Jiahao Li, Yunpeng Bai (National University of Singapore), and Yongkang Dai (Northwestern Polytechnical University), alongside Guo et al, present a novel approach , BrepARG , which uniquely encodes B-rep geometry and topology into a single, holistic token sequence. This breakthrough enables the application of powerful sequence-based generative frameworks, previously inaccessible to B-rep modelling, and demonstrably achieves state-of-the-art performance. By representing the entire B-rep as a hierarchical sequence of tokens, BrepARG not only validates a new feasibility for…