# A4

### Overview

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

* [Specifications](https://docs.xyxyx.pro/tokenization-models/a4/specifications)

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### 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.

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### 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.

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#### Legal

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

<figure><img src="https://1171814187-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEphDMF9wXmQh2rIdzUdc%2Fuploads%2Fik2jLkHf9cpE5dkizgD1%2FSlice%204%20(52).png?alt=media&#x26;token=74377cda-7485-4307-9669-c1ed8e7427f3" alt=""><figcaption></figcaption></figure>

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#### 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.

<figure><img src="https://1171814187-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEphDMF9wXmQh2rIdzUdc%2Fuploads%2F4z26Y55rQNmITzDgiund%2FSlice%204%20(47).png?alt=media&#x26;token=8dd97e18-f946-4c03-bdfd-0ae24f73d9a1" alt=""><figcaption></figcaption></figure>

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#### Literature

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

<figure><img src="https://1171814187-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEphDMF9wXmQh2rIdzUdc%2Fuploads%2FIAFnIJznxmLzRPzReL2a%2FSlice%204%20(53).png?alt=media&#x26;token=72603d10-3115-41cb-be41-ae6f6f3bf7d3" alt=""><figcaption></figcaption></figure>