Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

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arXiv:2607.13558v1 Announce Type: new Abstract: Urban region profiling constitutes a core problem in urban computing, supporting applications such as population estimation, economic assessment, and environmental monitoring. Existing methods typically formulate this task as multimodal representation learning, fusing heterogeneous urban data, e.g., satellite imagery, points of interest, textual descriptions, and 3D building information, into latent embeddings for prediction. However, these approa

Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

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