A4

Overview

The A4 tokenization model enables the creation of smart contracts that issue text-based tokens with the A4 output format.


Multiple Pages

A4 is engineered to condense multiple outputs into a single token, introducing a token built-in pagination UI and UX.

As a result, A4 enables the tokenization of documents with multiple pages.


Intended Use Cases

A4 is intended for the tokenization of documents.

The model is designed for use cases in that a document demands the highest level of immutability, permanency, and auditability of text records. This applies to critical contexts which require utmost provenance, from AI to legal to literature.

AI

The A4 model can be integrated as part of AI-related frameworks.

A4 ensures that every critical piece of text-based content generated during AI-related processes can be permanently recorded, transparent, and immutable, offering unparalleled provenance — from tokenizing AI models performance reports, explanation documents, and model versioning to tokenizing AI models complicance audits, algorithms intellectual property (IP), and data provenance and lineage.

A4 can be employed for tokenizing traditional critical legal documents, such as contract terms, financial statements, title deeds, and patents.

Literature

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


Parameters

Name
Description
Default

name

Defines the name of the smart contract

required

symbol

Defines the symbol of the token to be issued by the smart contract

required

supply

Defines the hard-capped total supply of the token to be issued by the smart contract

required (from 1 to )

decimals

Defines the decimals of the token to be issued by the smart contract

required (from 0 to 18)

font

Defines the text font family that will stamp every 1 full token issued by the smart contract

Serif

title

Defines the title of the document

optional

subtitle

Defines the subtitle of the document

optional


Additional Learning Resources & Background

Last updated

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