arXiv (All)
open access
Symmetry without a manifold: intrinsic dimension on orbits
The standard geometric derivation of neural scaling exponents takes the intrinsic dimension of a data manifold as its input. On modular addition in $\mathbb{Z}_p$ that derivation has no input. The exact algebraic solution is an orbit of $\mathbb{Z}_p$ acting by isometries. Transitivity alone makes t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Symmetries and Measurements#95749
- From McTaggert to AdS_5 geometry#753057
- ADMISSIBILITY BEFORE DIMENSIONS A Structural Clarification on Higher-Dimensional Cosmology#83741
- GEODE: Symmetry-Preserving Cartesian Diffusion for Crystal Generation#1157169
- Sequential Circuits as Generalized Symmetry on the Lattice#1157242
Record · ID 1011639
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive