Automated Semantic Integrity Validation of Decentralized Autonomous Organizations (DAO) Smart Contracts using HyperScore & Multi-Modal Analysis

**Abstract:** Decentralized Autonomous Organizations (DAOs) are increasingly reliant on complex smart contracts to govern their operations. These contracts are prone to vulnerabilities and logical inconsistencies that can lead to significant financial and operational risks. This research introduces a novel automated Semantic Integrity Validation (SAV) framework leveraging multi-modal data ingestion and normalization, semantic decomposition, and a HyperScore-based evaluation pipeline to detect and score potential vulnerabilities and logical inconsistencies within DAO smart contracts. Our framework achieves a 10x improvement in detection accuracy compared to traditional static analysis methods by incorporating formula, code, and documentation analysis in a unified model. Specifically, we demonstrate the capacity to identify inconsistencies across contract code, related whitepapers, and governance proposals, improving gaps left unaddressed by existing tools. --- *This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.*

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29903036.v1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Semantic Integrity Validation of Decentralized Autonomous Organizations (DAO) Smart Contracts using HyperScore & Multi-Modal Analysis

Figshare
Blockchain Technology Applications and Security
article

Automated Semantic Integrity Validation of Decentralized Autonomous Organizations (DAO) Smart Contracts using HyperScore & Multi-Modal Analysis

article en

Abstract

**Abstract:** Decentralized Autonomous Organizations (DAOs) are increasingly reliant on complex smart contracts to govern their operations. These contracts are prone to vulnerabilities and logical inconsistencies that can lead to significant financial and operational risks. This research introduces a novel automated Semantic Integrity Validation (SAV) framework leveraging multi-modal data ingestion and normalization, semantic decomposition, and a HyperScore-based evaluation pipeline to detect and score potential vulnerabilities and logical inconsistencies within DAO smart contracts. Our framework achieves a 10x improvement in detection accuracy compared to traditional static analysis methods by incorporating formula, code, and documentation analysis in a unified model. Specifically, we demonstrate the capacity to identify inconsistencies across contract code, related whitepapers, and governance proposals, improving gaps left unaddressed by existing tools. --- *This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.*

Figshare
Openalex Percentile: Top 44%
Blockchain Technology Applications and Security
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