mlsanityData to 7 Oct 2026

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

arXiv 2103.12732 ↗First posted 23 Mar 2021q-fin.TR cs.GTcited by 21

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Abstract (arXiv)

As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (DLT) in general. Instead of matching the buy and sell sides, automated market makers (AMMs) employ a peer-to-pool method and determine asset price algorithmically through a so-called conservation function. To facilitate the improvement and development of automated market maker (AMM)-based decentralized exchanges (DEXs), we create the first systematization of knowledge in this area. We first establish a general automated market maker (AMM) framework describing the economics and formalizing the system's state-space representation. We then employ our framework to systematically compare the top automated market maker (AMM) protocols' mechanics, illustrating their conservation functions, as well as slippage and divergence loss functions. We further discuss security and privacy concerns, how they are enabled by automated market maker (AMM)-based decentralized exchanges (DEXs)' inherent properties, and explore mitigating solutions. Finally, we conduct a comprehensive literature review on related work covering both decentralized finance (DeFi) and conventional market microstructure.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Mar 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 1; 2025: 5; 2026: 6.

21 papers.

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  1. 2023Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)cited by 4
  2. 2025DeXposure: A Dataset and Benchmarks for Inter-protocol Credit Exposure in Decentralized Financial Networkscited by 3
  3. 2022QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market Making Protocolscited by 2
  4. 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
  5. 2025Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learningcited by 2
  6. 2025SolRPDS: A Dataset for Analyzing Rug Pulls in Solana Decentralized Financecited by 2
  7. 2022Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learningcited by 1
  8. 2023Evolution of ESG-focused DLT Research: An NLP Analysis of the Literaturecited by 1
  9. 2024Investigating Similarities Across Decentralized Financial (DeFi) Servicescited by 1
  10. 2026Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoningcited by 1
  11. 2026Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profilingcited by 1
  12. 2026Intent2Tx: Benchmarking LLMs for Translating Natural Language Intents into Ethereum Transactionscited by 1
9 more
  1. 2021Detecting DeFi Securities Violations from Token Smart Contract Codecited by 0
  2. 2022Delta Hedging Liquidity Positions on Automated Market Makerscited by 0
  3. 2023ZeroSwap: Data-driven Optimal Market Making in DeFicited by 0
  4. 2023FRAD: Front-Running Attacks Detection on Ethereum using Ternary Classification Modelcited by 0
  5. 2025Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scamscited by 0
  6. 2025WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learningcited by 0
  7. 2026DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domaincited by 0
  8. 2026ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shiftcited by 0
  9. 2026EVAGE: Autonomous MEV Generation and Adaptation via Multi-Agent Harnesscited by 0