🤖 AI Summary
Hybrid stablecoins such as DAI suffer from opaque mechanisms and lack of rigorous stability guarantees.
Method: This paper introduces the first formal-logic–based verifiable analysis framework for stablecoin mechanisms, systematically modeling DAI’s dual-layer (collateralized + algorithmic) stabilization protocol in Prolog. It formally encodes core governance rules, liquidation logic, and parameter adjustment policies to enable automated reasoning.
Contribution/Results: The framework supports stability boundary analysis, vulnerability inference, and counterfactual scenario simulation. Its open-source implementation successfully reproduces and verifies key DAI governance behaviors—including critical liquidation triggers and collateral ratio adjustments—thereby enhancing mechanism transparency and auditability. By enabling precise, machine-checkable verification of economic invariants and safety properties, this work establishes a methodological paradigm for formal verification of DeFi stablecoins.
📝 Abstract
Stablecoins are digital assets designed to maintain a stable value, typically pegged to traditional currencies. Despite their growing prominence, many stablecoins have struggled to consistently meet stability expectations, and their underlying mechanisms often remain opaque and challenging to analyze. This paper focuses on the DAI stablecoin, which combines crypto-collateralization and algorithmic mechanisms. We propose a formal logic-based framework for representing the policies and operations of DAI, implemented in Prolog and released as open-source software. Our framework enables detailed analysis and simulation of DAI's stability mechanisms, providing a foundation for understanding its robustness and identifying potential vulnerabilities.