Trellison Institute

Research Publications

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Rigorous methodology. Transparent evaluation. Every perspective.

Trellison Institute evaluates research 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. We do not tell researchers what to find.

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CVR Protocol Mathematical Framework Series

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A four-paper series establishing the mathematical foundations for continuous physical asset verification

Abel Gutu (LedgerWell Corporation) & Robert Stillwell (LedgerWell Corporation / DaedArch Corporation)

1
Ethereum Research December 1, 2025

Proposal: A Continuous Verifiable Reality (CVR) Framework for Reducing RWA Collateral Risk Weights

Abel Gutu
Presents the CVR framework addressing collateral opacity in Real-World Asset lending. Combines a decentralized oracle network with slashing conditions for physical state verification, enabling dynamic reduction of risk-weighted assets aligned with Basel III capital optimization. Projects 20–50% verification discount reducing capital requirements by approximately 40%.
2
Ethereum Research December 4, 2025

ProofLedger Protocol: Core Tenets and Mathematical Framework

Abel Gutu
Introduces the ProofLedger Protocol’s CVR framework as an institutional trust layer for Real-World Assets. Three-layer architecture with oracle economics improvements and mathematical models for risk and capital optimization. Claims 40–60% reduction in collateral risk weights and approximately $32M in capital relief per $1B in assets.
3
Ethereum Research March 18, 2026

Markov Chain Monte Carlo as the Computational Engine for Basel SCO60 Group 1a Tokenized Physical Asset Verification

Abel Gutu & Robert Stillwell
Introduces MCMC as the computational mechanism enabling the CVR Protocol’s reputation-weighted Bayesian oracle consensus at institutional scale. Models the oracle network as a Hidden Markov Model over continuous physical asset states. Derives a Verification Discount methodology from MCMC posterior credible intervals. Uses Ethiopian cooperative carbon farming as empirical case study.
MCMC Bayesian fusion oracle consensus Basel SCO60 Group 1a RWA tokenization CVR Protocol Hidden Markov Model
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Ethereum Research March 20, 2026

Threshold-Convergent Systems: The Shared Mathematical Structure Governing Quantum Error Correction and Oracle Consensus for Physical Asset Verification and Collateralisation Under Basel IV

Abel Gutu & Robert Stillwell
Identifies threshold-convergent systems where individual participants are unreliable but a critical threshold exists such that below it, adding more participants produces exponential improvement in system-level reliability. Demonstrates this governs both quantum error correction and CVR Protocol oracle consensus, with direct implications for Basel IV regulatory classification of tokenized physical assets.
threshold convergence quantum error correction oracle consensus phase transition Basel SCO60 MCMC surface code distributed verification
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Coming Soon

The Evidence Layer: Empirical Demonstration of Tamper-Proof Verification for Global Trade

Abel Gutu & Robert Stillwell
Moving from theoretical framework to empirical demonstration using 33+ global data connectors and 2.5M+ ingested federal and international records as ground truth for the oracle consensus mechanism. Working title — in active development.
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Carbon Verification Research

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Evaluating carbon credit verification methodology — validated against Dr. Haya methods

Trellison Institute applies the methodological standards published by Dr. Barbara Haya (UC Berkeley Carbon Trading Project) to assess carbon credit quality. We rate methodology, not conclusions.

Research Program

Carbon Verification Research

Comprehensive evaluation of carbon credit verification challenges: additionality, permanence, leakage, and double-counting. Includes competitive methodology assessment (CVR vs Verra VCS vs Gold Standard GS4GG), credit stacking analysis, and EU CRCF Regulation 2024/3012 review.
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Need-vs-Access Series

A methodology-rated examination of where need meets — or fails to meet — supply across U.S. health, education, justice, and infrastructure domains

Original research applying the reusable Need-vs-Access Framework (DB-native tool atlas.need_vs_access_framework_v1) to public-good access domains. Each study joins authoritative federal small-area-estimated need data to provider-supply registries, computes per-geography gap ratios, and identifies states or tracts where supply deviates from what the insurance landscape predicts. Eleven additional access domains are queued (poverty, ELL, jobs, postsecondary, library access, police per capita, maternal care, dental care, broadband, oncology, crisis response).

Working Paper · v1.0 draft

The Mental Health Access Gap is Two Problems, Not One

78,815 census tracts × 244.5 million American adults. Joining CDC PLACES tract-level mental health prevalence to the CMS NPPES registry and Census 2024 ZIP centroids: 91.3% of U.S. adults live within 30 minutes of a licensed mental-health provider; 6.3 million Americans (2.6%) live more than an hour away (the geographic access desert); 238 million face a different, capacity-side problem. Conflating the two has stalled the policy conversation; separating them clarifies the policy levers.
78,815 tracts · 244.5M adults · 2 distinct problems
Working Paper · v1.0 draft

The Youth Mental Health Access Gap Is Structurally More Severe Than the Adult Gap and Wider Across States

35 U.S. states × 41.8 million under-18 residents. Joining CDC YRBSS 2023 (high-school students reporting persistent sadness/hopelessness 2+ weeks past 12 months) to CMS NPPES filtered to eight youth-serving mental-health taxonomies and ACS 1-year 2023 demographics. Population-weighted prevalence: 39.4% — approximately 2.4× the adult companion paper's rate. State-to-state range in youth-serving provider density: approximately 85×. Three positive outliers (PR, NC, NJ); two negative outliers (VT, AK).
35 states · 41.8M under-18 · 85× supply range
Phase B Working Paper · v1.0 draft

State-Level Youth Mental Health Need-vs-Access Measures Predict Within-Instrument Suicide Ideation but Not Across-Instrument Mortality

Phase B follow-up to the Youth V1 study. Tests whether the framework's gap-classification outputs predict adverse state-level outcomes. The need metric is a strong cross-sectional proxy for state-level YRBSS youth suicide ideation/attempts (r > +0.75). State-level provider supply is not a protective predictor of state-level mortality at this granularity. The framework's outputs are properly understood as a workforce-build-out priority signal, not a suicide-prevention triage signal — and the two are different lists.
35 states × 11 fields · r > +0.75 within YRBSS · null on mortality

Community Contributions

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Reply: Three Fundamental Problems in Ethereum Public Goods Funding

December 2025 — Ethereum Research forum contribution on public goods funding mechanisms and verification infrastructure.

CVR Framework Discussion Thread

December 2025 — Community discussion on the CVR framework proposal, oracle economics, and collateral verification approaches.

Methodology Transparency

All research published through Trellison Institute undergoes methodology evaluation using our 18-signal epistemological framework. We assess the quality of the research process — how questions are formed, how evidence is gathered, and how conclusions are bounded. We evaluate methodology, not outcomes. Negative results are results. Every paper includes explicit limitation statements and invitations for adversarial review.

See also: Complete Publications Catalog — all papers, SSRN submissions, institutional submissions, and patent portfolio.