Trellison Institute
Empirical research. Independent evaluation. Every claim measured.
XPRIZE Quantum Track Contributor
4 Papers Published
OECD Submission
Empirical research. Independent evaluation. Every claim measured.
Papers 3 and 4 in the CVR series contributed to the XPRIZE Quantum track, demonstrating threshold-convergent systems — where oracle consensus and quantum error correction share the same mathematical structure. The convergence proof shows that multi-agent verification networks and quantum stabilizer codes solve structurally identical problems: both require distributed agreement on a shared state under noisy, adversarial conditions.
Oracle consensus and quantum error correction converge to the same threshold function under Basel IV verification requirements.
ethresear.ch + SSRN (under review)
Empirical cognitive profiling of AI systems. Measures reasoning, knowledge integration, metacognition, creative synthesis, social modeling, and adaptive learning. Not benchmarks — behavioral evaluation under adversarial conditions.
Bias detection. Funding transparency. Methodology verification. Scores research on 18 signals spanning replicability, statistical validity, conflict of interest, and epistemic humility. Nothing ships unverified.
Oracle consensus for physical asset verification under Basel IV. Multi-agent threshold convergence, MCMC computational engines, collateral-based verification. The mathematical framework for proving real-world claims on-chain.
Validated against Dr. Barbara Haya’s methodology (UC Berkeley Carbon Trading Project). Credit stacking: carbon + nitrogen + water + biodiversity + energy from verified agricultural practices.
Economic impact scoring across 400M+ global businesses. Opportunity identification, risk assessment, competitive positioning. Feeds into LedgerWell trade verification and sovereign compliance templates.
| 1 | Proposal: A Continuous Verifiable Reality (CVR) Framework for Reducing RWA Collateral Risk Weights Core mathematical framework for continuous verification of real-world assets, reducing Basel IV risk weights through multi-oracle consensus. | Dec 1, 2025 ethresear.ch Published |
| 2 | ProofLedger Protocol: Core Tenets and Mathematical Framework Economic incentive mechanisms for multi-oracle systems. Collateral-based verification, slashing conditions, and game-theoretic oracle honesty proofs. | Dec 4, 2025 ethresear.ch Published |
| 3 | MCMC as Computational Engine for Basel SCO60 Group 1a Tokenized Physical Asset Verification MCMC-driven Bayesian fusion for distributed sensor networks applied to Basel SCO60 compliance. XPRIZE Quantum Track contributor. | Mar 18, 2026 ethresear.ch SSRN Published / Under Review |
| 4 | Threshold-Convergent Systems: Quantum Error Correction and Oracle Consensus Under Basel IV Demonstrates structural equivalence between quantum stabilizer codes and oracle consensus thresholds. XPRIZE Quantum Track contributor. | Mar 20, 2026 ethresear.ch SSRN Published / Under Review |
| 5 | The Evidence Layer: Empirical Demonstration of Tamper-Proof Verification for Global Trade Empirical demonstration applying the CVR framework to real-world trade verification scenarios across sovereign jurisdictions. | In Progress Working Paper |
Quantum error correction meets oracle consensus. Threshold functions for distributed agreement under noise.
Reputation-weighted consensus. Collateral mechanics. Game-theoretic honesty proofs for multi-agent systems.
Truth scoring across 18 signals. Methodology integrity. Funding bias detection. Reproducibility audits.
Dr. Barbara Haya framework validation. Multi-credit stacking. Additionality and permanence verification.
CEDS and Ed-Fi standard evaluation. Federal statistical methodology. Learning outcome measurement.
Basel IV SCO60 compliance. RWA tokenization. Sovereign verification templates across 48+ jurisdictions.
“We are the audience, not the expert. We rate methodology, not conclusions. We detect bias — we do not suppress. We build free tools for researchers whose work is verified. Their validation is our credibility.”Read Our Methodology →
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).