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On the geometry and topology of representations: the manifolds of modular addition

In brief:

The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield distinct circuits for…

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New research could change how AI systems work.

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New research could change how AI systems work.

The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield…

In this work, we show that this is not the case, and that both uniform attention and trainable attention architectures implement the same algorithm via topologically and geometrically equivalent…

Open receipts to verify and go deeper.

About this source
Source
arXiv cs.LG
Type
Research Preprint
Published
Credibility
Peer-submitted research paper on arXiv

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On the geometry and topology of representations: the manifolds of modular addition

TL;DR

The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield distinct circuits for…

Quick Data

Source
https://arxiv.org/abs/2512.25060v1
Type
Research Preprint
Credibility
Peer-submitted research paper on arXiv
Published

Builder Context

Scan abstract → experiments → limitations. Also: note model size and inference requirements.

Full Analysis

New research could change how AI systems work.

The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield…

In this work, we show that this is not the case, and that both uniform attention and trainable attention architectures implement the same algorithm via topologically and geometrically equivalent…

Open receipts to verify and go deeper.

Source Verification

Source arXiv cs.LG
Type Research Preprint
Tier Primary Source
Assessment Peer-submitted research paper on arXiv
URL https://arxiv.org/abs/2512.25060v1
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