Add arXiv ref to Models Overview

axon-overview.mdx

@@ -45,6 +45,10 @@ This architecture enables engineering teams to build more scalable and efficient
 
 Our State-of-the-Art Deep Reasoner generates a detailed reasoning process for your requests, detects what needs to be done and how to do it, ensuring all the context is considered and the best possible solution is provided.
 
+<Note>
+  The reasoning capabilities are derived from research presented in [Deep Reasoning with Large Language Models](https://arxiv.org/abs/2505.19640).
+</Note>
+
 - **Multi-sources causal graph traversal** for inferencing across heterogeneous data sources, enabling root-cause analysis and counterfactual reasoning.
 - **Dynamic symbolic grounding** via contextual ontologies to map abstract concepts into actionable knowledge representations in real time.
 - **Probabilistic logic synthesis** with uncertainty quantification to evaluate solution optimality under incomplete or ambiguous input conditions.