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Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization

This paper teaches vision‑language agents to actively consult maps while guessing where a photo was taken. With reinforcement learning and parallel search paths, their system beats even strong commercial baselines on real‑world geolocation benchmarks.