# References - [Dark Matter](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/dark-matter.md): Technical Introduction of Core IP - [Explainability Mode](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/explainability-mode.md): Explainability Mode is a feature of the Dark Matter algorithm available for enterprise accounts. - [Ray for Dark Matter](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/ray-for-dark-matter.md): Dark Matter leverages Ray to distribute algorithm training for scaling and optimizing training time. - [The Dark Matter Environment](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/the-dark-matter-environment.md): Dark Matter leverages several common third party Python libraries used for Data Science tasks. - [Feature Enhancement White Paper](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/feature-enhancement-white-paper.md): GitHub repo link to white paper pdf. --- # 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://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references.md?ask= ``` 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.