[FEATURE] Feature 5: Signed Document Exporter (PDF + Metadata) markdown Copy Edit

[erik-sv]

Problem Statement

When one LLM passes output to another (e.g., summarization, transformation), metadata is lost. There’s no mechanism to preserve or verify origin across multiple LLM generations.

Proposed Solution

• Enable metadata passthrough and relaying between models.
• If Model A creates a text, and Model B modifies it, metadata includes both origins with timestamps and hashes.
• Maintain provenance chain with nested or chained signatures.

Alternative Solutions

• Flatten metadata to “last model only” (loses history).
• Manual logging of provenance (non-standard, easy to omit).

Use Cases

1. A content platform chains summarization, translation, and rewriting steps through multiple LLMs and wants to preserve full provenance.
2. An enterprise uses one LLM to draft, and another to edit – both steps need attribution.

Implementation Ideas

• Chain metadata with a signature tree.
• Use canonical ordering to preserve integrity and prevent tampering.
• Update encoder to optionally accept prior metadata and extend it.

Additional Context

Could become essential in regulated or high-trust AI pipelines.