AI-Generated NFT Metadata for Low-Storage Content Issuing

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Solution Overview

Problem

The storage requirements for digital content generated by AI systems increase significantly due to the need to store individual content data, leading to capacity consumption and centralized storage risks.

Innovation Solution

An NFT issuing system that associates NFTs with the learned model and parameter used for content generation, eliminating the need to store the content data itself by including meta-information in the NFT, allowing reproduction through inference on demand.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If digital content is stored in distributed storage or cloud storage with links embedded in NFT definitions, then digital content can be associated with NFTs for unique identification and trading, but storage capacity is consumed proportionally to the amount of digital content generated

Engineering Contradiction:
ImproveNFT-digital content associationVSAvoidstorage capacity
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts the essential identification information (hash values) from the digital content itself and stores only these compact representations in the NFT smart contracts. The actual digital content remains stored externally in distributed storage or cloud storage, separating the identification function from the storage function and dramatically reducing the data burden on blockchain storage.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of storing the entire digital content in the NFT definition, the system creates a cryptographic hash copy (digest) of the content and stores this compact representation in the smart contract. This hash copy serves as a unique identifier and integrity verification mechanism without requiring storage of the original large-scale digital content.

Inventive Principle:
Principle #26Copying

2Productivity

If more digital content is generated and stored, then more content can be traded on the NFT marketplace, but the storage system becomes more centralized and vulnerable to data loss

Engineering Contradiction:
Improvecontent generation volumeVSAvoiddata loss risk
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system segments the storage function into two parts: cryptographic hash storage on the blockchain (for identification and integrity verification) and actual content storage in distributed external storage systems (for capacity and accessibility). This segmentation allows high-volume content generation while maintaining reliability through the decentralized nature of both blockchain and external storage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The cryptographic hash acts as an intermediary between the NFT smart contract and the external digital content storage. It provides a reliable link that verifies content integrity without requiring the blockchain to store the actual content, thus reducing centralized storage risks while enabling high productivity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12586141B2NFT issuing system
Publication Date: 2026.03.24 NOMURA RESEARCH INSTITUTE
  • US12586141B2 patent drawing
  • US12586141B2 patent drawing
  • US12586141B2 patent drawing

AI summary

An NFT issuing system that issues an NFT related to digital content generated by inference by AI, includes an NFT issuing unit that issues an NFT including information of a learned model used to generate the digital content and a parameter given to the learned model at the time of inference.