Cognitive Trust Stack (CTS) v1.0 — A Framework for Verifiable AI Behavioral Provenance
Authors/Creators
Description
The Cognitive Trust Stack (CTS) is a layered framework for establishing,
anchoring, and verifying the behavioral provenance of artificial intelligence
systems. CTS addresses a critical gap in current AI governance: no standardized
mechanism exists for cryptographically anchoring the alignment state of an AI
system to an immutable, independently verifiable record at the time of deployment
or inference.
CTS combines three layers into a complete trust chain:
(1) A declarative alignment schema formatted to IETF Internet-Draft standards
(2) Archival permanence via DOI registration (this record)
(3) Cryptographic temporal anchoring via Bitcoin blockchain timestamping
using the Dual-Layer Digital Permanence (DLDP) methodology
This record includes the CTS whitepaper (v1.0), the reference schema file
(cts_framework.json), and an OpenTimestamps (.ots) proof file anchoring the
SHA-256 hash of this document to the Bitcoin blockchain prior to DOI
registration, establishing dual-layer digital permanence.
To verify: ots verify cts_framework.json.ots
Author: Lawrence John Reilly Jr.
Framework Version: 1.0
IETF Draft Target: draft-reilly-cts-00
AI alignment, behavioral provenance, blockchain timestamping, DLDP, IETF, AI governance, cryptographic anchoring, AI ethics, Dual-Layer Digital Permanence