APA (7th ed.) Citation
(2026). Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking. ArXiv cs.CL Recent Papers.
Chicago Style (17th ed.) Citation
"Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking." ArXiv Cs.CL Recent Papers 2026.
MLA (9th ed.) Citation
"Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking." ArXiv Cs.CL Recent Papers, 2026.
Warning: These citations may not always be 100% accurate.