{
  "id": 1619435,
  "title": "When State Becomes an Attack Surface: State-Semantic Injection in LLM-Driven Embodied Agents",
  "url": "https://urgent.news/2026/08/17/when-state-becomes-an-attack-surface-state-semantic-injection-in-llm",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-17T17:02:07.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.16806v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large Language Models (LLMs) have demonstrated capabilities in in-context learning, task decomposition, step-by-step reasoning, and code generation, driving their gradual evolution from text generation models into the core of agents capable of perceiving environments, invoking tools, and executing tasks. Traditional LLM Agents typically obtain information through webpages, documents, databases,…",
  "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."
}