{
  "id": 4546,
  "url": "https://arxiv.org/abs/2605.10782v1",
  "title": "TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding",
  "summary": "Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely evaluates these two modalities together on the same real-world trajectories: trajectory modeling often stays geometry-centric, while language-centric mobility benchmarks frequently target route planning and tool use rather than fine-grained, verifiable alignment between text and the underlying route. We introduce TrajP",
  "authors": "Lihuan Li, Wilson Wongso, Baiyu Chen, Hao Xue, Ruiyi Yang, Yifan Duan et al.",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-11T16:17:13.000Z",
  "fetched_at": "2026-07-14T16:31:03.581Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4546",
  "original_url": "https://arxiv.org/abs/2605.10782v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}