Crystal Melting, Triality and Partition Functions for Toric Calabi-Yau Fourfolds

This paper extends the study of crystal melting models for toric Calabi-Yau 4-folds by developing an algorithm to construct crystals from periodic quivers, analyzing their behavior and partition functions under triality cascades, and introducing stable variables that reveal stabilization patterns to guide the search for generalized cluster algebras in 2d (0,2) quiver theories.

Mario Carcamo, Sebastián FrancoWed, 11 Ma⚛️ hep-th

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets

This paper proves that randomly initialized, polynomially over-parameterized convolutional neural networks contain structured subnetworks capable of approximating smaller networks without training, by developing new mathematical tools to overcome previous limitations in analyzing the Strong Lottery Ticket Hypothesis for structured pruning.

Arthur da Cunha, Francesco d'Amore, Emanuele NataleWed, 11 Ma🤖 cs.LG

Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?

This paper demonstrates that a lightweight, automated AI pipeline integrating next-generation large language models with citation-based verification can successfully generate and solve sophisticated, research-grade mathematical problems, including previously unpublished questions, with verified results and open-sourced tools.

Lve Meng (University of Science,Technology of China, Zhongguancun Academy), Weilong Zhao (Université Paris Cité), Yanzhi Zhang (Zhongguancun Academy), Haoxiang Guan (Zhongguancun Academy), Jiyan He (Zhongguancun Academy)Tue, 10 Ma🔢 math

Concentration of the largest induced tree size of Gn,pG_{n,p} around the standard expectation threshold

This paper extends the known concentration of the largest induced tree size in random graphs Gn,pG_{n,p} to all vanishing edge probabilities pn1/2ln3/2np \gg n^{-1/2} \ln^{3/2} n and demonstrates that for sparser graphs where n1pn1/2n^{-1} \ll p \ll n^{-1/2}, this size fails to concentrate around the standard expectation threshold.

Jakob HofstadTue, 10 Ma🔢 math