mlsanityData to 14 Oct 2026

Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges

arXiv 2105.07447 ↗First posted 16 May 2021cs.CRcited by 25

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Abstract (arXiv)

The Non-Fungible Token (NFT) market is mushrooming in recent years. The concept of NFT originally comes from a token standard of Ethereum, aiming to distinguish each token with distinguishable signs. This type of token can be bound with virtual/digital properties as their unique identifications. With NFTs, all marked properties can be freely traded with customized values according to their ages, rarity, liquidity, etc. It has greatly stimulated the prosperity of the decentralized application (DApp) market. At the time of writing (May 2021), the total money used on completed NFT sales has reached 34,530,649.86 USD. The thousandfold return on its increasing market draws huge attention worldwide. However, the development of the NFT ecosystem is still in its early stage, and the technologies of NFTs are pre-mature. Newcomers may get lost in their frenetic evolution due to the lack of systematic summaries. In this technical report, we explore the NFT ecosystems in several aspects. We start with an overview of state-of-the-art NFT solutions, then provide their technical components, protocols, standards, and desired proprieties. Afterward, we give a security evolution, with discussions on the perspectives of their design models, opportunities, and challenges. To the best of our knowledge, this is the first systematic study on the current NFT ecosystems.

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 May 2021.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 10; 2024: 5; 2025: 5; 2026: 2.

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  1. 2023Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price predictioncited by 6
  2. 2023BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Modelscited by 6
  3. 2024Detecting Financial Bots on the Ethereum Blockchaincited by 6
  4. 2023EX-Graph: A Pioneering Dataset Bridging Ethereum and Xcited by 5
  5. 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilitiescited by 5
  6. 2024Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineagecited by 4
  7. 2023Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challengescited by 3
  8. 2023The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directionscited by 3
  9. 2024A Review on Building Blocks of Decentralized Artificial Intelligencecited by 2
  10. 2022Deep Smart Contract Intent Detectioncited by 1
  11. 2023NFTVis: Visual Analysis of NFT Performancecited by 1
  12. 2023A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0cited by 1
13 more
  1. 2025DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domaincited by 1
  2. 2025UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysiscited by 1
  3. 2026Counterweights and Complementarities: The Convergence of AI and Blockchain Powering a Decentralized Futurecited by 1
  4. 2021NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networkscited by 0
  5. 2022Projecting Non-Fungible Token (NFT) Collections: A Contextual Generative Approachcited by 0
  6. 2023Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokenscited by 0
  7. 2023Abnormal Trading Detection in the NFT Marketcited by 0
  8. 2023Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platformcited by 0
  9. 2024Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectivescited by 0
  10. 2024Fractal Signatures: Securing AI-Generated Pollock-Style Art via Intrinsic Watermarking and Blockchaincited by 0
  11. 2025A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learningcited by 0
  12. 2025Towards Understanding Deep Learning Model in Image Recognition via Coverage Testcited by 0
  13. 2026CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Marketcited by 0