An Overview on Smart Contracts: Challenges, Advances and Platforms
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Abstract (arXiv)
Smart contract technology is reshaping conventional industry and business processes. Being embedded in blockchains, smart contracts enable the contractual terms of an agreement to be enforced automatically without the intervention of a trusted third party. As a result, smart contracts can cut down administration and save services costs, improve the efficiency of business processes and reduce the risks. Although smart contracts are promising to drive the new wave of innovation in business processes, there are a number of challenges to be tackled.This paper presents a survey on smart contracts. We first introduce blockchains and smart contracts. We then present the challenges in smart contracts as well as recent technical advances. We also compare typical smart contract platforms and give a categorization of smart contract applications along with some representative examples.
Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Dec 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 5; 2024: 6; 2025: 4; 2026: 2.
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- 2024Large Language Models for Cyber Security: A Systematic Literature Reviewcited by 68
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFTcited by 10
- 2024Blockchain for Large Language Model Security and Safety: A Holistic Surveycited by 8
- 2022HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detectioncited by 5
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilitiescited by 5
- 2025GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contractscited by 5
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integrationcited by 2
- 2025Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchaincited by 2
- 2023SourceP: Detecting Ponzi Schemes on Ethereum with Source Codecited by 1
- 2023MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatmentcited by 1
- 2023zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proofcited by 1
- 2024Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervisioncited by 1
8 more
- 2025Web3 x AI Agents: Landscape, Integrations, and Foundational Challengescited by 1
- 2021A formal model for ledger management systems based on contracts and temporal logiccited by 0
- 2022Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryptioncited by 0
- 2023Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shiftscited by 0
- 2024Dual-view Aware Smart Contract Vulnerability Detection for Ethereumcited by 0
- 2024Vulnerability Detection in Smart Contracts: A Comprehensive Surveycited by 0
- 2026An end-to-end agentic pipeline for smart contract translation and quality evaluationcited by 0
- 2026SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specificationscited by 0
- 2026SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications10 May 2026
- 2026An end-to-end agentic pipeline for smart contract translation and quality evaluation14 Feb 2026
- 2025Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain1 Sep 2025
- 2025Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges4 Aug 2025
- 2025GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts21 Jul 2025
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities13 Jan 2025
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integration25 Nov 2024
- 2024Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision1 Aug 2024
- 2024Blockchain for Large Language Model Security and Safety: A Holistic Survey26 Jul 2024
- 2024Vulnerability Detection in Smart Contracts: A Comprehensive Survey8 Jul 2024
- 2024Dual-view Aware Smart Contract Vulnerability Detection for Ethereum29 Jun 2024
- 2024Large Language Models for Cyber Security: A Systematic Literature Review8 May 2024
8 more
- 2023zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof1 Dec 2023
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT18 Oct 2023
- 2023MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment9 Jul 2023
- 2023SourceP: Detecting Ponzi Schemes on Ethereum with Source Code2 Jun 2023
- 2023Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts3 Jan 2023
- 2022Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption12 Nov 2022
- 2022HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection8 Apr 2022
- 2021A formal model for ledger management systems based on contracts and temporal logic30 Sep 2021
- 2024Large Language Models for Cyber Security: A Systematic Literature Reviewcited by 68
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFTcited by 10
- 2022HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detectioncited by 5
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilitiescited by 5
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integrationcited by 2
- 2025Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchaincited by 2
- 2023SourceP: Detecting Ponzi Schemes on Ethereum with Source Codecited by 1
- 2023MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatmentcited by 1
- 2023zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proofcited by 1
- 2024Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervisioncited by 1
- 2025Web3 x AI Agents: Landscape, Integrations, and Foundational Challengescited by 1
- 2021A formal model for ledger management systems based on contracts and temporal logiccited by 0
12 most cited of 17 All 17 (JSON)
- 2026SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications10 May 2026
- 2025Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain1 Sep 2025
- 2025Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges4 Aug 2025
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities13 Jan 2025
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integration25 Nov 2024
- 2024Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision1 Aug 2024
- 2024Vulnerability Detection in Smart Contracts: A Comprehensive Survey8 Jul 2024
- 2024Dual-view Aware Smart Contract Vulnerability Detection for Ethereum29 Jun 2024
- 2024Large Language Models for Cyber Security: A Systematic Literature Review8 May 2024
- 2023zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof1 Dec 2023
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT18 Oct 2023
- 2023MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment9 Jul 2023
12 newest of 17 All 17 (JSON)