<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.wang-hjs-accountability" target="https://datatracker.ietf.org/doc/html/draft-wang-hjs-accountability-05">
   <front>
      <title>HJS: Accountability Receipts for AI Agents A Minimal JEP Profile for Exportable AI Receipts</title>
      <author initials="Y." surname="wang" fullname="yuqiang wang">
         </author>
      <date month="April" day="29" year="2026" />
      <abstract>
	 <t>   This document defines HJS, a minimal accountability receipt
   infrastructure for AI agents. HJS is a profile of the Judgment Event
   Protocol (JEP) and does not define an independent event signing
   protocol. HJS uses JEP events to bind signed event claims to AI-agent
   behavior records, receipt manifests, optional privacy-preserving
   human participant references, and optional deployment-specific
   evidence references.

   The HJS core is intentionally small. It defines behavior-record
   digest binding, receipt manifests, receipt bundles, and validation of
   cryptographic and structural consistency. All other capabilities,
   including human privacy modes, participant-supplied references, post-
   event review references, explanation-material references, risk
   descriptors, model evidence, tool-call evidence, policy-check
   evidence, multi-party export, and cryptographic capability profiles,
   are optional extensions or deployment profiles.

   HJS is infrastructure. It does not assign legal liability, prove
   subjective intent, define governance rules, enforce monitoring,
   define fairness, define appeal rights, define explanation rights,
   determine authorization validity, or establish regulatory compliance.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-wang-hjs-accountability-05" />
   
</reference>
