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smart contract

Aggregated news, research, and updates specifically regarding smart contract. Auto-curated by our AI Engine.

Research #Smart Contracts 🔬 ResearchAnalyzed: Jan 10, 2026 12:24

BugSweeper: AI-Powered Smart Contract Vulnerability Detection

Published:Dec 10, 2025 07:30

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1 min read

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ArXiv

Analysis

This research explores a novel application of Graph Neural Networks (GNNs) for detecting vulnerabilities in smart contracts. The function-level focus of BugSweeper offers a potentially more granular and efficient approach compared to broader vulnerability scanning methods.

Key Takeaways

•Applies GNNs to smart contract security.
•Focuses on function-level vulnerability detection.
•Presented on ArXiv, suggesting ongoing research.

Reference

“BugSweeper utilizes Graph Neural Networks for function-level detection of vulnerabilities.”

Permalink ArXiv

Research #Smart Contract 🔬 ResearchAnalyzed: Jan 10, 2026 12:32

Explainable AI Model Detects Malicious Smart Contracts

Published:Dec 9, 2025 16:34

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1 min read

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ArXiv

Analysis

This research from ArXiv focuses on an explainable AI model for detecting malicious smart contracts, leveraging EVM opcode features. The emphasis on explainability is crucial for building trust and understanding in the context of blockchain security.

Key Takeaways

•Focuses on detecting malicious smart contracts.
•Utilizes EVM opcode based features for detection.
•Emphasizes the importance of explainability.

Reference

“The research is based on EVM opcode based features.”

Permalink ArXiv

Research #LLM Audit 🔬 ResearchAnalyzed: Jan 10, 2026 13:51

LLMBugScanner: AI-Powered Smart Contract Auditing

Published:Nov 29, 2025 19:13

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1 min read

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ArXiv

Analysis

This research explores the use of Large Language Models (LLMs) for smart contract auditing, offering a potentially automated approach to identifying vulnerabilities. The novelty lies in applying LLMs to a domain where precision and security are paramount.

Key Takeaways

•LLMBugScanner leverages LLMs for smart contract security analysis.
•Automated auditing can potentially reduce manual review time and costs.
•The approach aims to enhance the security of decentralized applications.

Reference

“The research likely focuses on the use of an LLM to automatically scan smart contracts for potential bugs and security vulnerabilities.”

Permalink ArXiv

Research #Smart Contract 👥 CommunityAnalyzed: Jan 10, 2026 16:37

AI-Powered Smart Contract Audits: Enhancing Security and Efficiency

Published:Oct 23, 2020 17:15

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1 min read

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Hacker News

Analysis

The article's premise of using machine learning for smart contract security audits is promising. However, without further context, it's difficult to assess the actual implementation or effectiveness of such a system compared to existing tools like Slither.

Key Takeaways

•Machine learning could potentially improve smart contract security audit processes.
•The article suggests a focus on auditing with efficiency in mind.
•The connection to Slither indicates an attempt to improve upon or integrate with existing tools.

Reference

“The context provided only states the title and source, providing insufficient specific facts about the AI application.”

Permalink Hacker News

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smart contract

BugSweeper: AI-Powered Smart Contract Vulnerability Detection

Analysis

Key Takeaways

Explainable AI Model Detects Malicious Smart Contracts

Analysis

Key Takeaways

LLMBugScanner: AI-Powered Smart Contract Auditing

Analysis

Key Takeaways

AI-Powered Smart Contract Audits: Enhancing Security and Efficiency

Analysis

Key Takeaways

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BugSweeper: AI-Powered Smart Contract Vulnerability Detection

Analysis

Key Takeaways

Explainable AI Model Detects Malicious Smart Contracts

Analysis

Key Takeaways

LLMBugScanner: AI-Powered Smart Contract Auditing

Analysis

Key Takeaways

AI-Powered Smart Contract Audits: Enhancing Security and Efficiency

Analysis

Key Takeaways

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