arxiv
PublishedJune 10, 2026 at 4:00 AM
Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints
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arXiv:2606.10314v1 Announce Type: new Abstract: Although the study of human trajectory anomalies is critical for advancing spatial data mining, empirical research remains severely hindered by a pervasive lack of ground-truth datasets. Despite the availability of several real-world and simulated huma
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