{
  "id": 3634502,
  "title": "Candidate supply and answer selection shape the value of LLM judging in multi-agent systems",
  "url": "https://urgent.news/2026/08/26/candidate-supply-and-answer-selection-shape-the-value-of-llm-judging",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T15:52:20.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.25937v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multi-agent systems (MAS) sometimes already have the potential to answer correctly, but still report a wrong answer. Explaining this outcome is difficult because generation, communication and final answer-selection rules usually change simultaneously. We conceptualize multi-agent reasoning as an evolutionary pipeline of candidate generation, peer communication and terminal selection, wherein…",
  "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."
}