Breakable Receipts: A Synthetic Case Study in Layered AI Attestation Evidence

Version 0.1.1 (2026-06-04) refreshes terminology and release files following GLACIS/OVERT wording guidance. It replaces prior style-receipt wording with "OVERT-inspired receipt-shaped object" / "receipt-shaped object inspired by public OVERT concepts," keeps the work framed as an independent synthetic external research case study, and preserves explicit non-conformance and non-endorsement boundaries. Breakable Receipt Museum is an artifact-first synthetic evidence lab for layered AI attestation. The case study packages a runtime educational-AI event as an EATF Agent Evidence Package carrying an OVERT-inspired receipt-shaped object, then applies controlled mutations and re-verifies each artifact through cryptographic envelope checks, domain semantic replay, and history-aware chain checks. The release packet includes the manuscript, synthetic AEP artifacts, replay logs, result matrices, scripts, reference/source audit records, and explicit non-endorsement boundaries. Disclaimer: This is an independent synthetic research case study using an OVERT-inspired receipt-shaped object inside an AEP carrier. It is not an OVERT implementation, conformance claim, certification, IAP/assessor assessment, trust-service status claim, or partnership with GLACIS/OVERT. No review or approval by GLACIS/OVERT is implied unless separately stated.