# Theory and Papers

Operon has two main paper layers right now.

## Main Whitepaper

- [Biological Motifs for Agentic Control](https://github.com/coredipper/operon/blob/main/article/main.pdf)

This is the broad umbrella document for the project.

It covers:

- biological/software mapping
- motifs and architecture
- pathology and healing
- implementation overview

## Narrower Paper

- [Epistemic Topology for AI Agent Systems](https://github.com/coredipper/operon/blob/main/article/paper1/main.pdf)

This is the tighter paper extracted from the whitepaper.

It focuses on:

- review bottlenecks
- error amplification
- sequential penalty
- parallel benefit
- tool-density coordination tax

## How to Read Them

If you want the practical architecture question first, start with the epistemic topology paper.

If you want the full conceptual project, start with the main whitepaper.
