<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.chang-delta1-settlement" target="https://datatracker.ietf.org/doc/html/draft-chang-delta1-settlement-00">
   <front>
      <title>Delta-1: A SCITT Profile for Binary Settlement Receipts in Agentic AI Accountability</title>
      <author initials="" surname="OIALAB" fullname="OIALAB">
         <organization>OIA Lab</organization>
      </author>
      <date month="April" day="15" year="2026" />
      <abstract>
	 <t>   This document defines Delta-1, a profile of the SCITT (Supply Chain
   Integrity, Transparency, and Trust) architecture applied to AI agent
   decision accountability.

   Delta-1 specializes the SCITT receipt model for a specific use case:
   proving that an individual AI decision met three accountability
   conditions simultaneously:

   C1: Evidence of the decision process was consumed and sealed.  C2:
   Strategic intent was isolated from inference providers.  C3: An
   authorized party recorded the settlement.

   The verdict is binary (VALID or INVALID) with no intermediate states.
   Receipts are independently verifiable without the issuing
   infrastructure being online, subject to the trust and attestation
   assumptions defined in this document.

   By building on the SCITT framework, Delta-1 inherits transparency-log
   semantics, receipt conventions, and verification patterns, while
   extending them with domain-specific requirements for AI decision
   closure.

   This profile is intended for regulated industries, including finance,
   healthcare, and legal, operating under accountability and record-
   retention obligations.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-chang-delta1-settlement-00" />
   
</reference>
