p-adic Character Neural Network
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Abstract (arXiv)
We propose a new frame work of p-adic neural network. Unlike the original p-adic neural network by S. Albeverio, A. Khrennikov, and B. Tirrozi using a family of characteristic functions indexed by hyperparameters of precision as activation functions, we use a single injective p-adic character on the topological Abelian group mathbbZp of p-adic integers as an activation function. We prove the p-adic universal approximation theorem for this formulation of p-adic neural network, and reduce it to the feasibility problem of polynomial equations over the finite ring of integers modulo a power of p.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 3 of its 20 references that are in the map. First posted on arXiv 31 Mar 2026.
Builds on
3 of 20 references.
References · 3
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Citing papers per year: 2026: 2.
2 papers.
- 2026p-adic Manifold Learning and Benchmark Tasks from Impartial Gamescited by 0
- 2026Continuous Optimization for p-adic Modelscited by 0
- 2026Continuous Optimization for p-adic Models21 Sep 2026
- 2026p-adic Manifold Learning and Benchmark Tasks from Impartial Games6 May 2026