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RoPE attention is an exact forward-pass gradient step with softmax intact

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

arXiv:2609.06685v1 Announce Type: new Abstract: We derive an exact gradient-step representation of the RoPE-softmax forward pass. For every deterministic RoPE-softmax attention head with arbitrary affine projection weights, we construct a query-dependent effective matrix $\Delta M_i$ satisfying $y_…

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  1. 2026-09-09 04:00 · arXiv stat.ML
    RoPE attention is an exact forward-pass gradient step with softmax intact

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