Consensus in the Age of Blockchains
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Abstract (arXiv)
The blockchain initially gained traction in 2008 as the technology underlying bitcoin, but now has been employed in a diverse range of applications and created a global market worth over 150B as of 2017. What distinguishes blockchains from traditional distributed databases is the ability to operate in a decentralized setting without relying on a trusted third party. As such their core technical component is consensus: how to reach agreement among a group of nodes. This has been extensively studied already in the distributed systems community for closed systems, but its application to open blockchains has revitalized the field and led to a plethora of new designs. The inherent complexity of consensus protocols and their rapid and dramatic evolution makes it hard to contextualize the design landscape. We address this challenge by conducting a systematic and comprehensive study of blockchain consensus protocols. After first discussing key themes in classical consensus protocols, we describe: first protocols based on proof-of-work (PoW), second proof-of-X (PoX) protocols that replace PoW with more energy-efficient alternatives, and third hybrid protocols that are compositions or variations of classical consensus protocols. We develop a framework to evaluate their performance, security and design properties, and use it to systematize key themes in the protocol categories described above. This evaluation leads us to identify research gaps and challenges for the community to consider in future research endeavours.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Nov 2017.
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Citing papers per year: 2022: 1; 2023: 4; 2024: 2; 2025: 2; 2026: 1.
10 papers.
- 2023Blockchain Large Language Modelscited by 17
- 2023Defending Against Poisoning Attacks in Federated Learning with Blockchaincited by 8
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)cited by 6
- 2022Social Choice Around the Block: On the Computational Social Choice of Blockchaincited by 4
- 2024Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detectioncited by 4
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Tracescited by 4
- 2023Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challengescited by 3
- 2023Can Blockchains Reliably Train Machine Learning Models?cited by 1
- 2025Can Artificial Intelligence solve the blockchain oracle problem? Unpacking the Challenges and Possibilitiescited by 0
- 2026SoK: A Systematic Bidirectional Literature Review of AI & DLT Convergencecited by 0
- 2026SoK: A Systematic Bidirectional Literature Review of AI & DLT Convergence11 May 2026
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces17 Dec 2025
- 2025Can Artificial Intelligence solve the blockchain oracle problem? Unpacking the Challenges and Possibilities2 Jul 2025
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)26 Nov 2024
- 2024Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection20 Jul 2024
- 2023Can Blockchains Reliably Train Machine Learning Models?13 Jul 2023
- 2023Defending Against Poisoning Attacks in Federated Learning with Blockchain2 Jul 2023
- 2023Blockchain Large Language Models25 Apr 2023
- 2023Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges12 Mar 2023
- 2022Social Choice Around the Block: On the Computational Social Choice of Blockchain15 Mar 2022