A4
Last updated
Last updated
The A4 tokenization model allows for the creation of text-based tokens in the A4 output format.
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.
The text record inserted into the token SVG output.
Max of 67 characters per line of text
Max of (aprox.) 111 lines of text
Max of (aprox.) 7,540 characters
The text record inserted into the token metadata, stored within its SVG file.
Calculate 7,540 minus the number of characters inserted in the Token Text. The result will be the remaining content capacity for the Metadata Text.
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.
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.
A4 can be used for tokenizing traditional critical legal documents, such as contracts, financial statements, title deeds, and patents.
A4 can be used for tokenizing critical literature documents, such as research articles, academic papers, technical whitepapers, and manifestos.
