Verifiable Off-Chain Governance
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908737725267968 |
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| author | Hartnell, Jake Battaglia, Eugenio |
| author_facet | Hartnell, Jake Battaglia, Eugenio |
| contents | Current DAO governance praxis limits organizational expressivity and reduces complex organizational decisions to token-weighted voting due to on-chain computational limits. This paper proposes verifiable off-chain computation (leveraging Verifiable Services, TEEs, and ZK proofs) as a framework to transcend these constraints while maintaining cryptoeconomic security. This paper explores three novel governance mechanisms: (1) attestation-based systems that compute multi-dimensional stakeholder legitimacy, (2) collective intelligence through verifiable preference processing, and (3) autonomous policy execution via Policy-as-Code. The framework provides architectural specifications, security models, and implementation considerations for DAOs seeking higher-resolution expressivity and increased operational efficiency, with validation from pioneering implementations demonstrating practical viability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_23618 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Verifiable Off-Chain Governance Hartnell, Jake Battaglia, Eugenio Computer Science and Game Theory Computational Engineering, Finance, and Science Current DAO governance praxis limits organizational expressivity and reduces complex organizational decisions to token-weighted voting due to on-chain computational limits. This paper proposes verifiable off-chain computation (leveraging Verifiable Services, TEEs, and ZK proofs) as a framework to transcend these constraints while maintaining cryptoeconomic security. This paper explores three novel governance mechanisms: (1) attestation-based systems that compute multi-dimensional stakeholder legitimacy, (2) collective intelligence through verifiable preference processing, and (3) autonomous policy execution via Policy-as-Code. The framework provides architectural specifications, security models, and implementation considerations for DAOs seeking higher-resolution expressivity and increased operational efficiency, with validation from pioneering implementations demonstrating practical viability. |
| title | Verifiable Off-Chain Governance |
| topic | Computer Science and Game Theory Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2512.23618 |