{
  "id": 3456,
  "url": "https://arxiv.org/abs/2605.30838v1",
  "title": "COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents",
  "summary": "LLM-powered search agents enable multi-step reasoning and tool use. However, these capabilities introduce retrieval-induced safety degradation, as harmful intents may decompose into seemingly innocuous sub-queries that lead to unsafe outcomes. Existing alignment methods struggle to capture sparse safety signals and fail to supervise diverse violations across multi-step interactions. We propose COMPASS, a Cognitive MCTS-Guided Process Alignment framework designed to achieve robust safety alignmen",
  "authors": "Wenkai Shen, Pengyang Zhou, Jiahe Xu, Jiaming Qian, Haozhe He, Zhihao Huang et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-29T04:51:06.000Z",
  "fetched_at": "2026-07-14T16:30:14.372Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3456",
  "original_url": "https://arxiv.org/abs/2605.30838v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}