{
  "id": 1219,
  "url": "https://arxiv.org/abs/2606.10475v1",
  "title": "Decoupling Thought from Speech: Knowledge-Grounded Counterfactual Reasoning for Resilient Multi-Agent Argumentation",
  "summary": "Multi-agent debate frameworks have been shown to improve large language model performance in convergent tasks, but they are currently optimized in a way that heavily favors final output accuracy rather than stability of the process. During long-horizon exchanges reactive systems under sustained perturbations often experience logic degradation, argument repetition, and role drift. To structurally prevent the identity loss and maintain the process fidelity, we introduce Knowledge-Grounded Counterf",
  "authors": "Jakub Masłowski, Jarosław A. Chudziak",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-09T06:43:18.000Z",
  "fetched_at": "2026-07-14T14:15:07.843Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1219",
  "original_url": "https://arxiv.org/abs/2606.10475v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}