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#artificial intelligence Preprint Oct 2026

TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving

We present a suite of 50 unpublished research-level theoretical physics problems with verifiable answers. Without AI assistance, a typical problem in our collection could be solved by a world expert in about a day or less but would take considerably longer for experts in adjacent specialties. We test the ability of off...

A. Chandra, Aaghaz Mahajan, A. Sanyal et al. · 0 citations
Preprint Sep 2026

Discrete Gauging of 5d $\mathcal{N}=1$ $E_n$ SCFTs

We study the gauging of discrete symmetries of the 5d rank-one $E_n$ SCFTs that fix the Coulomb branch coordinate but act nontrivially on the Higgs branch chiral ring. Using generalized toric polygons and $(p,q)$-brane webs, we identify symmetries of the moduli space that extend to symmetries of the full SCFT. In many...

G. Arias-Tamargo, Mario De Marco, Craig Lawrie et al. · 0 citations

Learning to Trace Seiberg Dualities

This paper uses machine learning methods to address the question of how to efficiently establish dualities of supersymmetric quiver gauge theories for Seiberg dualities of supersymmetric quiver gauge theories and finds that for quivers with a modest number of quiver nodes, different network architectures tend to outper...

J. Heckman, S. Meynet, Alessandro Mininno et al. · 1 citation

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