{
  "id": 17912077,
  "title": "RECEIPT: Measuring and Repairing the Return Assumption of LLM Agents in Web Service Operations",
  "url": "https://urgent.news/2026/11/01/receipt-measuring-and-repairing-the-return-assumption-of-llm-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-01T14:06:53.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01930v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLM agents operate Web infrastructure from the command line and rely on a return assumption, namely that each tool call returns within a bounded time and with its requested action finished. Many commands, however, ask a question before they act, and the agent's harness either closes the program's input or keeps it open as a terminal at which nobody types. With closed input, the program can return…",
  "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."
}