# p-adic Manifold Learning and Benchmark Tasks from Impartial Games

arXiv: https://arxiv.org/abs/2605.04374 · HTML: https://mlsanity.com/paper/2605.04374/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 30 references that are in the map.
- First posted on arXiv 6 May 2026.

## Builds on (most cited first, 3 of 3)

- [v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning](https://mlsanity.com/paper/2508.01010/) (2025)
- [On the Local Ultrametricity of Finite Metric Data](https://mlsanity.com/paper/2408.07174/) (2024)
- [p-adic Character Neural Network](https://mlsanity.com/paper/2603.29905/) (2026)

## Abstract (arXiv)

We introduce p-adic manifold learning, propose an algorithm to solve it, and propose benchmark tasks from impartial games.