001 Learning to Trace Seiberg Dualities arXiv Paper Jonathan J. Heckman et al. Yesterday 002 Effective Parameters, Real Behavior: Renormalization for Robotics -- From Infinite Electron Mass to Sim-to-Real Gap arXiv Paper Youran Sun, Jiaxuan Guo et al. 4 days ago 003 DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory arXiv Paper Xingyang Yu 5 days ago 004 Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge arXiv Paper Rodrigo Carmo Terin Jul 23 005 Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks arXiv Paper Tancredi Schettini Gherardini, Edward Hirst et al. Jul 6 006 Graph Neural Networks for the Graphical Bootstrap arXiv Paper Rigers Aliaj, Gabriele Dian et al. Jul 3 007 Factorizable Normalizing Flows for parameter-dependent density morphing arXiv Paper D. Valsecchi, M. Donega et al. 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May 7 016 LLMs with in-context learning for Algorithmic Theoretical Physics arXiv Paper Anamaria Hell, L. Thiele May 6 017 Reconstructing conformal field theoretical compositions with Transformers arXiv Paper Haotian Cao, Garrett W. Merz et al. May 1 018 PINNs in More General Geometry arXiv Paper Edward Hirst Apr 27 019 Neuro-evolutionary stochastic architectures in gauge-covariant neural fields arXiv Paper Rodrigo Carmo Terin Apr 22 020 Fine-Tuning Small Reasoning Models for Quantum Field Theory arXiv Paper Nathaniel Woodward, Zhiqi Gao et al. Apr 21 021 Collective Kernel EFT for Pre-activation ResNets arXiv Paper Hidetoshi Kawase, Toshihiro Ota Apr 17 022 The Agentification of Scientific Research: A Physicist's Perspective arXiv Paper Xiaoxu Qi Apr 16 023 GlobalCY I: A JAX Framework for Globally Defined and Symmetry-Aware Neural Kähler Potentials arXiv Paper Abdul Rahman Apr 13 024 Adaptive H-EFT-VA: A Provably Safe Trajectory Through the Trainability-Expressibility Landscape of Variational Quantum Algorithms arXiv Paper Eyad I. B. Hamid Apr 12 025 Learning to Unscramble Feynman Loop Integrals with SAILIR arXiv Paper David Shih Apr 6 026 Topological Effects in Neural Network Field Theory arXiv Paper Christian Ferko, James Halverson et al. Apr 2 027 Descending into the Modular Bootstrap arXiv Paper Nathan Benjamin, A. L. Fitzpatrick et al. Apr 1 028 Grading the Unspoken: Evaluating Tacit Reasoning in Quantum Field Theory and String Theory with LLMs arXiv Paper Xingyang Yu, Yinghuan Zhang et al. Apr 1 029 Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method arXiv Paper S. Bright-Thonney, T. R. Harvey et al. Apr 1 030 Bethe Ansatz with a Large Language Model arXiv Paper B. Pozsgay, István Vona Mar 31 031 CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks arXiv Paper A. Chervov, F. Levkovich-Maslyuk et al. Mar 23 032 Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories arXiv Paper David Shih Mar 11 033 Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning arXiv Paper Andrzej Cichocki, Piergiulio Tempesta Mar 9 034 A new Uncertainty Principle in Machine Learning arXiv Paper V. Dolotin, A. Morozov Feb 24 035 Toward Manifest Relationality in Transformers via Symmetry Reduction arXiv Paper J. François et al. Feb 21 036 Learning the S-matrix from data: Rediscovering gravity from gauge theory via symbolic regression arXiv Paper Nathan Moynihan Feb 16 037 A Machine Learning Approach to the Nirenberg Problem arXiv Paper Gianfranco Cortés, Maria Esteban-Casadevall et al. Feb 12 038 Neural and numerical methods for $\mathrm{G}_2$-structures on contact Calabi-Yau 7-manifolds arXiv Paper Elli Heyes et al. Feb 12 039 Neural Network Quantum Field Theory from Transformer Architectures arXiv Paper D. S. Ageev, Yu. A. Ageeva Feb 10 040 Versor: A Geometric Sequence Architecture arXiv Paper Truong Minh Huy et al. Feb 10 041 Towards Worst-Case Guarantees with Scale-Aware Interpretability arXiv Paper Lauren Greenspan et al. Feb 5 042 Holographic generative flows with AdS/CFT arXiv Paper Ehsan Mirafzali et al. Jan 29 043 Symmetry Breaking in Transformers for Efficient and Interpretable Training arXiv Paper Eva Silverstein et al. Jan 29 044 Exploring the holographic entropy cone via reinforcement learning arXiv Paper Temple He, Jaeha Lee et al. Jan 27 045 A model of errors in transformers arXiv Paper Suvrat Raju et al. Jan 20 046 DeepInflation: an AI agent for research and model discovery of inflation arXiv Paper Ze-Yu Peng et al. Jan 14 047 Artificial Entanglement in the Fine-Tuning of Large Language Models arXiv Paper Min Chen, Zihan Wang et al. Jan 11 048 Robust Reasoning as a Symmetry-Protected Topological Phase arXiv Paper Ilmo Sung Jan 8 049 Machine learning modularity arXiv Paper Yi-Hao Fan, Vishnu Jejjala et al. Jan 5 050 Virasoro Symmetry in Neural Network Field Theories arXiv Paper Brandon Robinson Dec 30, 2025 051 Cryptographic transformations over polyadic rings arXiv Paper Steven Duplij et al. Dec 14, 2025 052 Random matrix theory of sparse neuronal networks with heterogeneous timescales arXiv Paper Thiparat Chotibut et al. Dec 14, 2025 053 Hermitian Yang--Mills connections on general vector bundles: geometry and physical Yukawa couplings arXiv Paper Challenger Mishra et al. Dec 11, 2025 054 Conformal Defects in Neural Network Field Theories arXiv Paper Pietro Capuozzo, Brandon Robinson et al. Dec 8, 2025 055 AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems arXiv Paper Hyun-Sik Jeong, Hanse Kim et al. Nov 27, 2025 056 From Simulations to Surveys: Domain Adaptation for Galaxy Observations arXiv Paper Kaley Brauer et al. Nov 23, 2025 057 Fermions and Supersymmetry in Neural Network Field Theories arXiv Paper Samuel Frank, James Halverson et al. Nov 20, 2025 058 Good flavor search in SU(5): a machine learning approach arXiv Paper F. Abu-Ajamieh, Shinsuke Kawai et al. Nov 11, 2025 059 Learning the Inverse Ryu--Takayanagi Formula with Transformers arXiv Paper Sejin Kim Nov 9, 2025 060 Uncovering Singularities in Feynman Integrals via Machine Learning arXiv Paper Yuan Liu, Ying-Ying Xu et al. Oct 11, 2025