001 Learning to Trace Seiberg Dualities arXiv Paper Jonathan J. Heckman et al. 2 days ago 002 A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation arXiv Paper Liangyu Wu, Qibin Liu et al. 3 days ago 003 Normalizing Flows to Reconstruct Pseudo-PDFs arXiv Paper Yamil Cahuana Medrano, K. Orginos 4 days ago 004 Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders arXiv Paper Gregorio de la Fuente, Jesse Thaler 5 days ago 005 An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning arXiv Paper Jim Allchin Jul 23 006 Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge arXiv Paper Rodrigo Carmo Terin Jul 23 007 Classical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments arXiv Paper Ivan Ge, Sagar Addepalli et al. Jul 22 008 Learning Standard Model structure from LHC data with Riemannian flow matching arXiv Paper M. Kato, Kevin A. Urquía-Calderón et al. Jul 17 009 LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research arXiv Paper Hao Gao, Tingjia Miao et al. Jul 16 010 Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology arXiv Paper J. Alda, J. Asorey et al. Jul 14 011 Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough arXiv Paper Gaia Grosso, Vinicius Mikuni et al. Jul 10 012 Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data arXiv Paper Haruto Kitagawa, Coh Miyao et al. Jul 9 013 Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics arXiv Paper Rikab Gambhir, L. Lucie-Smith et al. Jun 24 014 What Do Lorentz-Equivariant Jet Taggers Learn? arXiv Paper J. Agarwal, Siddhartha Khare et al. Jun 19 015 Statistical Properties of Training & Generalization arXiv Paper Itay Lavie, N. Levi et al. Jun 18 016 Event Generation with Parallel Langevin Sampling and Learned Stein Diagnostics arXiv Paper Rob Verheyen Jun 12 017 JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics arXiv Paper Guillaume Letellier, A. Vacheret et al. Jun 12 018 Machine-learned particle flow as a foundation model for collider physics arXiv Paper Farouk Mokhtar, J. Pata et al. Jun 12 019 Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives arXiv Paper Ibrahim Elsharkawy, Joschka Birk et al. Jun 12 020 AgentRivet: an automated system for producing Rivet routines from journal publications arXiv Paper A. J. Costa, C. Doglioni et al. Jun 11 021 Conformal calibration and look-elsewhere effect in anomaly detection for new-physics searches arXiv Paper Jack Y. Araz, Michael Spannowsky Jun 11 022 Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding arXiv Paper J. Berman, François Charton et al. Jun 9 023 SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation arXiv Paper Joschka Birk, F. Gaede et al. Jun 9 024 CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters arXiv Paper Cheng Jiang, Sitian Qian et al. Jun 2 025 Predicting the Neutrino Mass Ordering Using Neural Networks arXiv Paper T. Bezerra, L. Asquith et al. Jun 2 026 Generative Models and Statistical Validation arXiv Paper S. Diefenbacher, Sofia Palacios Schweitzer et al. May 28 027 Neural Scaling Laws for Jet Generation arXiv Paper O. Amram, D. Faroughy et al. May 27 028 Particle-Lund Multimodality in Jet Taggers arXiv Paper L. Gouskos, B. Maier May 26 029 Experiments in Agentic AI for Science arXiv Paper Judy Fox, Geoffrey C. Fox May 25 030 Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC arXiv Paper Amir Subba, S. Ganguly May 18 031 Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction arXiv Paper D. Faroughy, Sofia Palacios Schweitzer et al. May 13 032 Dissecting Jet-Tagger Through Mechanistic Interpretability arXiv Paper Saurabh Rai, S. Ganguly May 11 033 Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation arXiv Paper Manuel Haußmann et al. May 11 034 BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation arXiv Paper Richard W. Hildebrandt, E. Kourlitis et al. May 7 035 When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning arXiv Paper V. Niarchos, C. Papageorgakis et al. May 7 036 From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs arXiv Paper Aritra Bal et al. May 4 037 Data-Driven, Geometry-Aware Optimal-Transport Calibration of Flavor Tagger arXiv Paper Yeonjoon Kim, U. Yang May 2 038 Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane arXiv Paper P. Patel, Sanmay Ganguly Apr 28 039 spectroxide: A code package for computing cosmic microwave background spectral distortions arXiv Paper Ethan Baker, Hongwan Liu et al. Apr 27 040 Fine-Tuning Small Reasoning Models for Quantum Field Theory arXiv Paper Nathaniel Woodward, Zhiqi Gao et al. Apr 21 041 Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions arXiv Paper Gregor Kržmanc, V. Mikuni et al. Apr 14 042 High-dimensional inference for the $γ$-ray sky with differentiable programming arXiv Paper S. Mishra-Sharma, T. Slatyer et al. Apr 9 043 Lecture notes on Machine Learning applications for global fits arXiv Paper J. Alda Apr 8 044 Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach arXiv Paper E. Gurkanli, Michael Spannowsky Apr 8 045 Learning to Unscramble Feynman Loop Integrals with SAILIR arXiv Paper David Shih Apr 6 046 Generative models on phase space arXiv Paper Z. Bogorad, Ibrahim Elsharkawy et al. Apr 2 047 Descending into the Modular Bootstrap arXiv Paper Nathan Benjamin, A. L. Fitzpatrick et al. Apr 1 048 Symbolic Density Estimation: A Decompositional Approach arXiv Paper Angelo Rajendram, Xieting Chu et al. Mar 30 049 PRBench: End-to-end Paper Reproduction in Physics Research arXiv Paper Shi Qiu, Jun Deng et al. Mar 29 050 Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Colliders arXiv Paper Sagar Addepalli, Prajita Bhattarai et al. Mar 27 051 B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture arXiv Paper Diego F. Vasquez Plaza, V. Manian Mar 22 052 Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers arXiv Paper Giorgio Morales, G. Lehaut et al. Mar 21 053 Unfolding with a Wasserstein Loss arXiv Paper Katy Craig et al. Mar 21 054 An End-to-end Architecture for Collider Physics and Beyond arXiv Paper Shi Qiu, Zeyu Cai et al. Mar 15 055 Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories arXiv Paper David Shih Mar 11 056 First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference arXiv Paper Karla Tame-Narvaez, Steven Gardiner et al. Mar 10 057 Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data arXiv Paper Anthony Badea et al. Mar 5 058 From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks arXiv Paper Vishal S. Ngairangbam, Michael Spannowsky Mar 3 059 Solving stiff dark matter equations via Jacobian Normalization with Physics-Informed Neural Networks arXiv Paper M. P. Bento, H. Câmara et al. Feb 25 060 Neural Scaling Laws for Boosted Jet Tagging arXiv Paper Matthias Vigl et al. Feb 17