{
  "id": 4060,
  "url": "https://arxiv.org/abs/2605.19314v1",
  "title": "ContextFlow: Hierarchical Task-State Alignment for Long-Horizon Embodied Agents",
  "summary": "Long-horizon embodied agents increasingly delegate navigation, search, approach, and manipulation to specialist executors. As these executors become stronger, the main bottleneck shifts from local skill execution to maintaining a coherent task frontier across planning, monitoring, memory, and execution. We study task-state misalignment, a task-level consistency failure in which the planner's active stage, runtime evidence, remembered context, and delegated executor no longer justify the same nex",
  "authors": "Shuhan Guo, Kun Zhang, Haifei Liu, Xingyu Gao, Yongqi Zhang, Yaqing Wang et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-19T03:49:17.000Z",
  "fetched_at": "2026-07-14T16:30:41.584Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4060",
  "original_url": "https://arxiv.org/abs/2605.19314v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}