{
  "id": 18807,
  "url": "https://arxiv.org/abs/2608.11392v1",
  "title": "AI Guardrail Survival under Single-Cycle Agentic Self-Summarization",
  "summary": "Long-running agents periodically compact their context, replacing the transcript with a model-generated summary.Recent work shows that dropping a standing safety constraint during compaction drives behavioral violations acrossmany models (Governance Decay; Chen, 2026). We ask a finer question: under a single compaction cycle, how is a safetyrule lost, and what does that imply for detection and evaluation? Our central finding is that a presence check is not asafety check: when compaction does not",
  "authors": "Ted Kwartler, Alan Aqrawi, Arian Abbasi",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T19:57:55.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18807",
  "original_url": "https://arxiv.org/abs/2608.11392v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}