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Riemannian--Lorentz Fusion of Vision Transformers and State-Space Models

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19384v1 Announce Type: new Abstract: Scaling deep learning faces critical bottlenecks: data exhaustion, exponential training costs, and resource concentration. Model merging combines pre-trained checkpoints without gradient descent, offering orders-of-magnitude savings versus retraining.…

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  1. 2026-09-18 04:00 · arXiv cs.CV
    Riemannian--Lorentz Fusion of Vision Transformers and State-Space Models

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