mlsanityData to 7 Oct 2026

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration

arXiv 2411.16809 ↗First posted 25 Nov 2024cs.CR cs.AIcited by 2

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Abstract (arXiv)

In the domain of large language models, considerable advancements have been attained in multimodal large language models and explainability research, propelled by the continuous technological progress and innovation. Nonetheless, security and privacy concerns continue to pose as prominent challenges in this field. The emergence of blockchain technology, marked by its decentralized nature, tamper-proof attributes, distributed storage functionality, and traceability, has provided novel approaches for resolving these issues. Both of these technologies independently hold vast potential for development; yet, their combination uncovers substantial cross-disciplinary opportunities and growth prospects. The current research tendencies are increasingly concentrating on the integration of blockchain with large language models, with the aim of compensating for their respective limitations through this fusion and promoting further technological evolution. In this study, we evaluate the advantages and developmental constraints of the two technologies, and explore the possibility and development potential of their combination. This paper primarily investigates the technical convergence in two directions: Firstly, the application of large language models to blockchain, where we identify six major development directions and explore solutions to the shortcomings of blockchain technology and their application scenarios; Secondly, the application of blockchain technology to large language models, leveraging the characteristics of blockchain to remedy the deficiencies of large language models and exploring its application potential in multiple fields.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 44 of its 78 references that are in the map. First posted on arXiv 25 Nov 2024.

Builds on

44 of 78 references.

References · 44

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32 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundariescited by 12
  2. 2026InfiCoEvalChain: A Blockchain-Based Decentralized Framework for Collaborative LLM Evaluationcited by 2

Similar, not cited

Close in wording, no citation either way

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  4. 2025Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
  5. 2024Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities
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