Numbers Already Carry Their Own Embeddings

Suhyun Bae; Donghun Lee

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arXiv · 2606.14108

Numbers Already Carry Their Own Embeddings

Suhyun Bae·Donghun Lee

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Abstract

We introduce Adelic operation-preserved embeddings (AOE), a training-free representation that captures both a number's real value and its modular (p-adic) signatures. This construction preserves additive and multiplicative structure by design, turning numerical input into embeddings that "speak in the language of mathematics." Unlike prior approaches that rely on task-specific retraining, AOE is plug-and-play and drops seamlessly into existing architectures. On algebraic combinatorics benchmarks, it delivers consistent gains including the first-ever perfect accuracy on the Weaving Pattern task-while suggesting a principled path forward for overcoming the long-standing "number problem" in AI.

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Suhyun Bae, Donghun Lee. 2026-06-12. Numbers Already Carry Their Own Embeddings. https://arxiv.org/abs/2606.14108

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