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\section{Conclusion}
We have demonstrated that 7680 dimensions represents a Pareto-optimal choice for embedding models in decentralized AI systems. The Zen Reranker achieves state-of-the-art retrieval performance while enabling zero-overhead cross-model compatibility and 31.87$\times$ compression.
This work establishes native high-dimensional embeddings as a critical component for scalable decentralized AI. The Zen Reranker is released as open-source at \texttt{https://huggingface.co/zenlm/zen-reranker-8b}.