# Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens

arXiv: https://arxiv.org/abs/2303.17031 · HTML: https://mlsanity.com/paper/2303.17031/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 16 of its 54 references that are in the map.
- First posted on arXiv 29 Mar 2023.

## Builds on (most cited first, 16 of 16)

- [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://mlsanity.com/paper/2010.11929/) (2020)
- [Emerging Properties in Self-Supervised Vision Transformers](https://mlsanity.com/paper/2104.14294/) (2021)
- [A Unified Approach to Interpreting Model Predictions](https://mlsanity.com/paper/1705.07874/) (2017)
- [ImageNet-21K Pretraining for the Masses](https://mlsanity.com/paper/2104.10972/) (2021)
- [A Survey on Metaverse: Fundamentals, Security, and Privacy](https://mlsanity.com/paper/2203.02662/) (2022)
- [Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges](https://mlsanity.com/paper/2105.07447/) (2021)
- [Mapping the NFT revolution: market trends, trade networks and visual features](https://mlsanity.com/paper/2106.00647/) (2021)
- [TweetBoost: Influence of Social Media on NFT Valuation](https://mlsanity.com/paper/2201.08373/) (2022)
- [NFT Wash Trading: Quantifying suspicious behaviour in NFT markets](https://mlsanity.com/paper/2202.03866/) (2022)
- [Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction](https://mlsanity.com/paper/2302.01676/) (2023)
- [Spotting Anomalous Trades in NFT Markets: The Case of NBA Topshot](https://mlsanity.com/paper/2202.04013/) (2022)
- [Heterogeneous rarity patterns drive price dynamics in NFT collections](https://mlsanity.com/paper/2204.10243/) (2022)
- [When Digital Economy Meets Web3.0: Applications and Challenges](https://mlsanity.com/paper/2210.08993/) (2022)
- [NFTDisk: Visual Detection of Wash Trading in NFT Markets](https://mlsanity.com/paper/2302.05863/) (2023)
- [Fairness in ERC token markets: A Case Study of CryptoKitties](https://mlsanity.com/paper/2102.03721/) (2021)
- [Seller-buyer networks in NFT art are driven by preferential ties](https://mlsanity.com/paper/2210.04339/) (2022)

## Abstract (arXiv)

The fervor for Non-Fungible Tokens (NFTs) attracted countless creators, leading to a Big Bang of digital assets driven by latent or explicit forms of inspiration, as in many creative processes. This work exploits Vision Transformers and graph-based modeling to delve into visual inspiration phenomena between NFTs over the years. Our goals include unveiling the main structural traits that shape visual inspiration networks, exploring the interrelation between visual inspiration and asset performances, investigating crypto influence on inspiration processes, and explaining the inspiration relationships among NFTs. Our findings unveil how the pervasiveness of inspiration led to a temporary saturation of the visual feature space, the impact of the dichotomy between inspiring and inspired NFTs on their financial performance, and an intrinsic self-regulatory mechanism between markets and inspiration waves. Our work can serve as a starting point for gaining a broader view of the evolution of Web3.