mlsanityData to 7 Oct 2026

SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing

arXiv 2602.04418 ↗First posted 4 Feb 2026cs.MA cs.AI cs.DCcited by 0

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Abstract (arXiv)

We present SPEAR, a multi-agent coordination framework for smart contract auditing that applies established MAS patterns in a realistic security analysis workflow. SPEAR models auditing as a coordinated mission carried out by specialized agents: a Planning Agent prioritizes contracts using risk-aware heuristics, an Execution Agent allocates tasks via the Contract Net protocol, and a Repair Agent autonomously recovers from brittle generated artifacts using a programmatic-first repair policy. Agents maintain local beliefs updated through AGM-compliant revision, coordinate via negotiation and auction protocols, and revise plans as new information becomes available. An empirical study compares the multi-agent design with centralized and pipeline-based alternatives under controlled failure scenarios, focusing on coordination, recovery behavior, and resource use.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 37 references that are in the map. First posted on arXiv 4 Feb 2026.

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References · 9

  1. 2020CodeBERT: A Pre-Trained Model for Programming and Natural Languagescited by 1,286
  2. 2019Slither: A Static Analysis Framework For Smart Contractscited by 88
  3. 2023GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysiscited by 65
  4. 2021SoK: Decentralized Finance (DeFi)cited by 23
  5. 2024SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Frameworkcited by 3
  6. 2025Generative Large Language Model usage in Smart Contract Vulnerability Detectioncited by 3
  7. 2019Smart Contract Repaircited by 2
  8. 2025Adaptive Plan-Execute Framework for Smart Contract Security Auditingcited by 2
  9. 2015A Multi-Agent Framework for Testing Distributed Systemscited by 1

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