Trellison Institute
Publications & Submissions
Complete catalog of research publications, working papers, and institutional submissions.
All research published through Trellison Institute undergoes methodology evaluation using our 18-signal epistemological framework. Published independently. We evaluate methodology, not outcomes. Negative results are results.
An expanding paper series establishing the mathematical foundations for continuous physical asset verification, co-authored by Abel Gutu (LedgerWell Corporation) and Robert Stillwell (LedgerWell Corporation / DaedArch Corporation). Papers 1–4 are publicly released; papers 5–8 are in co-author review.
Submitted March 2026. Publicly available. Under review by SSRN staff.
Submitted March 31, 2026. Authors: Robert Stillwell, Abel Gutu. Classification: Risk Management. AI disclosure included. Under review.
Robert Stillwell (sole author). Original submission March 4, 2026. Status: preliminary upload, submission incomplete. Resubmission planned via Trellison as primary publication venue.
Submitted February 27, 2026 in response to OECD call for contributions on AI governance frameworks. Status: submitted, pending OECD review. Details embargoed until OECD publication decision.
Submission to the National Institute of Standards and Technology in response to the Request for Information on AI Agent Security (under the AI Risk Management Framework workstream). Trellison’s contribution focused on verification methodology for autonomous-agent decision audit trails and the conformal-bounds approach to evaluating agent-system reliability. Status: submitted, pending NIST review. Specific docket reference and full text on file with the institute.
Five provisional patent specifications have been prepared covering key innovations in the CVR Protocol and supporting infrastructure:
1. Continuous Verifiable Reality Protocol for Physical Asset Verification
2. Threshold-Convergent Oracle Consensus Mechanism
3. MCMC-Based Bayesian Fusion for Distributed Sensor Networks
4. Contract-Gated Execution Framework for Autonomous Agent Systems
5. Credit Stacking Methodology for Multi-Dimensional Environmental Verification
Trellison Institute maintains an active research program evaluating carbon credit verification methodology. Our evaluation framework applies the standards published by Dr. Barbara Haya (UC Berkeley Carbon Trading Project). We validate against her published methods as a benchmark for rigorous carbon credit quality assessment.
See Carbon Verification Research for the full assessment including competitive methodology comparison (CVR vs Verra VCS vs Gold Standard GS4GG), credit stacking analysis, and EU CRCF Regulation 2024/3012 review.
All research is published independently. Trellison Institute evaluates methodology, not conclusions. We rate the quality of how questions are asked and answered. We detect bias, we contextualize findings, and we support researchers whose methods pass muster. Negative results are results. Every paper includes explicit limitation statements and invitations for adversarial review. SSRN submissions are under review — status reflects the most recent information available.
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