{
  "id": 605,
  "url": "https://arxiv.org/abs/2606.26203v1",
  "title": "Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols",
  "summary": "As AI agent protocols proliferate, the governance structures shaping their interoperability standards remain empirically underexamined. We introduce an LLM-powered comparative pipeline for large-scale governance discourse analysis, integrating automated annotation, neural topic modeling, and multi-layer network analysis to study socio-technical power structures at scale. We validate it on two contrasting standards for agent interoperability: ERC-8004 (permissionless, on-chain) and Google A2A (co",
  "authors": "Yutian Wang, Luyao Zhang",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": "google",
  "regions": null,
  "published_at": "2026-06-24T16:34:54.000Z",
  "fetched_at": "2026-07-14T14:14:41.548Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/605",
  "original_url": "https://arxiv.org/abs/2606.26203v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}