{
  "id": 39,
  "url": "https://arxiv.org/abs/2607.10526v1",
  "title": "Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents",
  "summary": "Stateful personal agents increasingly maintain long-term user profiles, episodic memories, and reusable skills. This persistence turns conversational sycophancy into a state-writing failure: accepted user-centric claims can be committed as lasting preferences, background facts, or workflows and later reused after the original conversation is gone. We call this persistent sycophancy and introduce the Personal Agent Sycophancy Benchmark (PASB), a 1,600-task benchmark that traces whether a conversa",
  "authors": "Xutao Mao, Liangjie Zhao, Leyao Wang, Rui Qian, Qiang Huang, Wentao Wang et al.",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T01:08:59.000Z",
  "fetched_at": "2026-07-14T14:14:15.664Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/39",
  "original_url": "https://arxiv.org/abs/2607.10526v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}