{
  "id": 18252109,
  "title": "EviSeek: An Evidence-Centric Agentic Framework for Embodied Active Information Seeking",
  "url": "https://urgent.news/2026/11/04/eviseek-an-evidence-centric-agentic-framework-for-embodied-active",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T12:35:04.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06434v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Active embodied question answering requires agents to acquire evidence through viewpoint changes and physical interaction. The central challenge is to avoid undirected interaction: taking plausible actions without specifying what evidence they should reveal for answering the question. Action plans and accumulated histories alone can leave the informational purpose of an interaction implicit. We…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}