Towards Spatio-Temporal Intelligence Systems in Urban Space: A Twin-Agent Perspective
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
The Flow has not summarised this story yet — read it at arXiv Computer Vision.
AgenticCity-Bench is a longitudinal multimodal benchmark that unifies state modeling and agentic reasoning for urban dynamics. It covers 16 cities across 12 countries from 2000 to 2025, providing 18 modalities that capture urban function, activity, and environmental state. The benchmark aligns heterogeneous data around a common spatial reference and calendar index, enabling cross‑modal translation and diverse agentic city tasks such as forecasting, planning, and resource analysis.
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