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TrajGenAgent generates realistic mobility trajectories without fine-tuning

TrajGenAgent demonstrates that a fine-tuning-free, hierarchical agent design can match or exceed the trajectory realism of computationally expensive fine-tuned models, lowering the barrier to generating privacy-safe synthetic mobility data for transportation, urban planning, and epidemic control applications.