<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.cui-dmsc-agent-cdi" target="https://datatracker.ietf.org/doc/html/draft-cui-dmsc-agent-cdi-00">
   <front>
      <title>Cross-Domain Interoperability Framework for AI Agent Collaboration</title>
      <author initials="Y." surname="Cui" fullname="Yong Cui">
         <organization>Tsinghua University</organization>
      </author>
      <date month="February" day="10" year="2026" />
      <abstract>
	 <t>   This document defines a framework for enabling seamless cross-domain
   interoperability among AI agents operating across different networks,
   administrative domains, and heterogeneous platforms.  The framework
   addresses the challenges of identity federation, trust establishment,
   policy harmonization, and secure communication that arise when AI
   agents from distinct administrative realms need to collaborate on
   shared tasks.  It specifies mechanisms for agent discovery,
   capability negotiation, trust delegation, and federated policy
   enforcement, enabling scalable and secure multi-domain AI
   collaboration without requiring centralized control.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-cui-dmsc-agent-cdi-00" />
   
</reference>
