1
Geometry-Driven Flow Analysis of Brain Sulcal Pattern
用几何流方法定量分析大脑沟回形态，揭示个体差异与神经疾病关联。
arXiv:2606.08404v1 Announce Type: new Abstract: Cortical folding reflects coordinated neurodevelopmental processes and is increasingly recognized as a…
2
Post-Training Neural Network Pruning using Graph Curvature
用图曲率衡量连接重要性，提供神经网络剪枝新视角，高效保留关键数据流。
arXiv:2601.16366v2 Announce Type: replace Abstract: This paper provides a fresh view of the neural network (NN) pruning problem through the lens of gr…
3
Where Code Meets Natural Language: Taxonomy-Driven Information Flow Analysis for LLM-Integrated Applications
首个跨越代码与自然语言边界的信息流方法，24个标签定义信息保存与输出模态双维度分析。
arXiv:2603.28345v2 Announce Type: replace-cross Abstract: LLM API calls are becoming a ubiquitous program construct, yet they create a boundary that n…
4
SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents
从原始点击流学习离散买家画像，让电商智能体告别“平均买家”模式，实现真正的个性化代理。
arXiv:2605.14205v1 Announce Type: new Abstract: LLM-based web agents can navigate live storefronts, yet they often collapse to a single "average buyer…