Xyxyx
  • Overview
  • Introduction
  • Technology
  • Xyxyx Text-Based Tokenization Architecture (XTBTA)
  • Text-Based Tokens (TBTs)
  • Tokenization Models
    • 1x1
      • Specifications
    • A4
      • Specifications
  • Token Standards
    • ERC-721F
      • Parameters
    • ERC-404
      • Parameters
    • ERC-721
      • Parameters
  • Products & Services
    • API
    • Launchpad
      • Using Launchpad
        • Usage Policies
      • Xy
      • Changelog
    • Tokenizer
  • Explorer
  • Protocol
    • XYXYX
      • Architecture
        • XYHASH
      • Tokenomics
      • Xyxyx Issuer Nodes (XINs)
    • Governance
      • Xyxyx Improvement Proposals (XIPs)
      • Treasury Management Proposals (TMPs)
      • Resubmit a proposal
    • Treasury
  • Miscellaneous
    • Addresses
    • Links
    • Brand Assets
Powered by GitBook
On this page
  • Overview
  • Key Features
  • Intended Use Cases
  1. Tokenization Models

A4

PreviousSpecificationsNextSpecifications

Last updated 15 hours ago

Overview

The A4 tokenization model allows for the creation of text-based tokens in the A4 output format.


Key Features

Multiple Pages

The A4 model is designed to consolidate multiple outputs into a single text-based token, incorporating a built-in pagination system. As a result, A4 enables the tokenization of documents with multiple pages.


Intended Use Cases

The A4 tokenization model is designed for tokenizing long text records (e.g., documents). It is intended for use cases where a document requires the highest levels of immutability, permanency, attestability, and auditability of text records. This is particularly applicable in critical contexts that demand the utmost data provenance and integrity.


AI

A4 can be integrated into AI-related frameworks, enabling the permanent recording of long text records generated during AI processes. This ensures unparalleled data provenance and integrity — from tokenizing AI model performance reports, explanation documents, and versioning, to tokenizing compliance audits, algorithmic intellectual property (IP), and data provenance and lineage.


Legal

A4 can be used for tokenizing traditional critical legal documents, such as contracts, financial statements, title deeds, and patents.


Literature

A4 can be used for tokenizing critical literature documents, such as research articles, academic papers, technical whitepapers, and manifestos.

Specifications