🤖 AI Summary
This study addresses the agency risks, novel failure modes, and absence of a unified analytical framework introduced by curation layers in the architectural evolution of DeFi vaults. To this end, we construct a unified system model for DeFi vaults. Leveraging formal verification of smart contracts and system modeling techniques, this work proposes a tripartite complementary taxonomy encompassing exposure objectives, governance accountability, and execution failure modes, which is subsequently mapped to production protocols. By establishing a standardized analytical framework for DeFi vaults, this research bridges the gap in systematic domain knowledge and effectively identifies latent security risks. Ultimately, it provides a robust theoretical foundation for the secure design and evaluation of blockchain-based financial applications.
📝 Abstract
Decentralized finance (DeFi) vaults are smart-contract-based asset management systems that pool deposits, execute programmable strategies, and mint tokenized shares representing claims on underlying assets and strategy performance. As vault designs have evolved from early yield aggregators to modular, actively managed systems, a new control layer, curation, has emerged to select strategies, configure risk parameters, and coordinate operational execution, introducing principal-agent dynamics and new failure modes.
This paper systematizes DeFi vault architectures and curator-mediated control planes through (i) a unified system model and formal definitions for share accounting, roles, and operational dependencies, and (ii) three complementary taxonomies covering vault exposures and objectives, curator governance and accountability mechanisms, and strategy execution patterns together with their failure modes. We further map a representative set of production protocols to the proposed dimensions. The frameworks in this work aim to support rigorous analysis and safer design of blockchain-based financial applications.