Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols
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
Record details
Published: 24 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models
arXiv · 9 June 2026
Gram: Assessing sabotage propensities via automated alignment auditing
arXiv · 28 May 2026
When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets
arXiv cs.AI · 22 July 2026
Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
arXiv · 27 May 2026
When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets
arXiv cs.CY · 23 July 2026
Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA
arXiv cs.AI · 28 July 2026
How to cite this record
ethics.ai (24 June 2026), “Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols,” evidence record 605, https://ethics.ai/record/605 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.