{
  "id": 15538082,
  "title": "Preventing Data Hallucinations in Agentic AI for Optical Network Troubleshooting",
  "url": "https://urgent.news/2026/10/16/preventing-data-hallucinations-in-agentic-ai-for-optical-network",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T10:25:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.23252v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "An agentic AI system for automated troubleshooting in optical communication networks is demonstrated that integrates data references into the agent architecture to prevent data hallucinations, improving the interpretability and trustworthiness of root-cause identification and reasoning.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}