$p$-adic Manifold Learning and Benchmark Tasks from Impartial Games
Year: 2026
Type: preprint
Abstract: We introduce $p$-adic manifold learning, propose an algorithm to solve it, and propose benchmark tasks from impartial games.
Source: arXiv (Cornell University)
Author: Mihara, Tomoki
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7160487888
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