{
  "id": 4244,
  "url": "https://arxiv.org/abs/2605.16714v1",
  "title": "GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction",
  "summary": "Security knowledge graphs can provide computable external memory for security agents, but constructing them from long-form cyber threat intelligence (CTI) remains difficult: LLMs often lack grounded security-domain knowledge, and end-to-end document-to-graph training is hard to supervise with cheap, stable rewards. We present GRID (Graph Representation of Intelligence Data), an end-to-end framework for security text knowledge graph construction. GRID first builds security-domain supervision from",
  "authors": "Liangyi Huang, Zichen Liu, Fei Shao, Shang Ma, Mengshi Zhang, Zihao Chen et al.",
  "category": "research",
  "topics": "military-security,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-15T23:54:01.000Z",
  "fetched_at": "2026-07-14T16:30:50.574Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4244",
  "original_url": "https://arxiv.org/abs/2605.16714v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}