# 3.1 Knowledge Originators (KO)

Knowledge Originators are individuals or institutions contributing structured knowledge that contains reasoning chains, domain-specific logic, and explicit evidence. Originators are not data annotators—they are intellectual producers whose output shapes the internal capabilities of AI systems. Their contributions define decision boundaries, domain behaviors, interpretation rules, and high-fidelity factual grounding for models.

A valid KO submission typically includes:

* Reasoning Chain: A transparent logic process rather than an isolated label.
* Evidence Set: Sources, citations, or empirical justification.
* Domain Logic: Rules or heuristics grounded in field-specific expertise.
* Error Boundaries: Known limitations, assumptions, and contextual constraints.

Gnosis Layer treats each submission as a foundational building block of machine intelligence. The protocol ensures that KO contributions retain ownership rights and participate in downstream value generation.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.gnosislayer.xyz/3.-the-knowledge-pipeline/3.1-knowledge-originators-ko.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.