Research
I publish the thinking behind ExecLayer instead of keeping it in a pitch deck. Everything below is DOI-registered or SSRN-distributed. Read it, cite it, or try to break it.
Recognition
August 2026
Awesome AI Agent Governance
ExecLayer is listed in Awesome AI Agent Governance under Governance Frameworks (August 2026), after the maintainer verified the Zenodo DOI, the public papers repo, and the live kernel at kernel.execlayer.io.
Foundational Research Series (v1.0.2 archive)
Paper I
Deterministic Runtime Enforcement Architecture
Defines the fail-closed runtime boundary between AI-generated intent and operational execution.
Paper II
Execution Layer Governance
Frames runtime control as a governance primitive, not a logging or observability layer.
Paper III
Governed Execution Artifact Standard v1.0
The canonical artifact structure for policy evaluation, authority, and traceability.
Paper IV
Execution Doctrine
The operational doctrine behind authority-bound execution for enterprise AI systems.
White papers
Paper V
Training AI to Understand Emotions
A governed multimodal architecture for emotional signal capture and attested calibration in language model alignment.
Paper VI
SovereignGate: XRPL-Native Governance Enforcement
Deterministic governance enforcement for autonomous financial actors on the XRP Ledger.
Paper VII
Agentic Governance Benchmark (AGB)
A measurement instrument for AI governance enforcement maturity across deterministic, cryptographic, and operational dimensions. ExecLayer self-scored 97.5 at Sovereign tier, and yes, self-scored is disclosed because that's the point of a public instrument.
Paper VIII
Override Health Benchmark (OHB)
An auditor-facing instrument for the structural integrity of AI override, escalation, and human-in-the-loop mechanisms.
Paper IX
The Missing Control Boundary: BCI and Cognitive-Write Governance
The first deterministic governance architecture for brain-computer interfaces and cognitive-write systems. Signed evidence envelopes bound to signal provenance, multi-party authority bundles running up to six independently signed roles, and the first published taxonomy of cognitive-write operations. Seven jurisdictions have neural data laws on the books and none of them are enforceable at the point of execution. Maps to Patent #6.
Paper X
Deterministic Execution Authority for Autonomous Space Systems
Execution authority for autonomous spacecraft under the Outer Space Treaty. Eight governed operation classes, stream-scoped receipt chains that scale to 42,000-satellite constellations without global serialization, and a receipt chain that turns launching-state liability defense from organizational assertion into cryptographic proof. Maps to Patent #6.
Paper XI
Memory Governance Integrity Benchmark (MGIB)
Whether persistent memory changes who an AI system believes is authorized to act. Poisoning detection is already covered elsewhere; this measures the execution-authority question underneath it, across long-horizon benign and adversarial interactions. Version 2.0.
Book
The End of Probabilistic Governance: How to Build Deterministic AI Enforcement Infrastructure
The full argument in one place.
ISBN 9798180419286. Published by ExecLayer Media.
Archive metadata
Version: v1.0.2
Publisher: ExecLayer Inc., Wilmington, Delaware, United States
Released: February 2026
Version DOI: https://doi.org/10.5281/zenodo.18749299
Concept DOI: https://doi.org/10.5281/zenodo.18521538
GitHub: https://github.com/BMC-INC/execlayer-papers
SSRN: Abstract 6290760, distributed April 8, 2026