{"total":14,"items":[{"citing_arxiv_id":"2606.27420","ref_index":11,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Machine learning fully hadronic events with spectral functions","primary_cat":"hep-ph","submitted_at":"2026-06-25T18:00:00+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Spectral functions from two-point correlations serve as multiplicity-independent ML inputs and improve expected gluino mass reach by 150-250 GeV in a fully hadronic ttbar vs gluino benchmark.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.18143","ref_index":2,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Energy-energy correlators in p-Pb collisions at $\\sqrt{s_{\\rm NN}} = 5.02$ TeV","primary_cat":"nucl-ex","submitted_at":"2026-06-16T16:42:53+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"First measurement of two-point EEC in 20-80 GeV/c charged jets in p-Pb collisions shows modification relative to pp at the same energy, with enhancement at large angles and suppression at small angles in the 20-40 GeV/c range.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.09458","ref_index":3,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"\"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\\pm}\\to\\pi^{\\pm}\\gamma$","primary_cat":"hep-ph","submitted_at":"2026-06-08T13:13:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Proof-of-principle for hadron-in-fat-jet AI tagging that yields an expected 95% CL limit of B(W±→π±γ) < 2.78×10^{-5} at 450 fb^{-1}.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.06603","ref_index":90,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Reweighting Adversarial Networks for Unbinned Unfolding","primary_cat":"hep-ph","submitted_at":"2026-06-04T18:00:42+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"RANs generalize moment unfolding to full phase-space unbinned unfolding via detector-level Wasserstein critics without requiring support overlap or multiple iterations.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.29345","ref_index":49,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Alignment and Enhanced Multi-Higgs Production","primary_cat":"hep-ph","submitted_at":"2026-05-28T04:35:46+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"In extended scalar sectors near the alignment limit, higher-dimensional interactions can make two-, three-, or four-Higgs final states the dominant discovery mode at the LHC via gluon fusion.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.28934","ref_index":15,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Bump Hunting Inside Jets with Energy Correlators","primary_cat":"hep-ph","submitted_at":"2026-05-27T18:00:01+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Energy correlators can convert scaling violations into angular bump hunting for new physics, yielding projected competitive LHC sensitivity for a light hadrophilic Z'.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.14783","ref_index":11,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements","primary_cat":"hep-ph","submitted_at":"2026-05-14T12:53:25+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"AI-driven symbolic evolution discovers interpretable event-level observables that retain substantially more local Fisher information than angular baselines for CP-sensitive HZ interference in two collider channels.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.25885","ref_index":8,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane","primary_cat":"hep-ph","submitted_at":"2026-04-28T17:28:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Explainability techniques applied to LundNet show that assigned node importance correlates with classical jet substructure observables such as N-subjettiness ratios and energy correlation functions, with shifts across transverse-momentum regimes.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"boosted-object phenomenology, Vol. 958 (Springer, 2019) arXiv:1901.10342 [hep-ph]. [6] A. Butteret al., The Machine Learning landscape of top taggers, SciPost Phys.7, 014 (2019), arXiv:1902.09914 [hep-ph]. [7]Search for highly energetic double Higgs boson production in the two bottom quark and two vector boson all-hadronic final state, Tech. Rep. (CERN, Geneva, 2024). [8] L. de Oliveira, M. Kagan, L. Mackey, B. Nachman, and A. Schwartzman, Jet-images - deep learning edition, JHEP07, 069, arXiv:1511.05190 [hep-ph]. [9] P. T. Komiske, E. M. Metodiev, and M. D. Schwartz, Deep learning in color: towards automated quark/gluon jet discrimination, JHEP01, 110, arXiv:1612.01551 [hep- ph]. [10] G. Kasieczka, T. Plehn, M. Russell, and T."},{"citing_arxiv_id":"2604.06541","ref_index":13,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach","primary_cat":"hep-ph","submitted_at":"2026-04-08T00:33:50+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A MERA-based autoencoder supplies a locality-aware hierarchical inductive bias that improves reconstruction-based anomaly detection for collider jets, with disentanglers providing benefit at strong compression bottlenecks.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.02906","ref_index":24,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD","primary_cat":"hep-ph","submitted_at":"2026-04-03T09:25:09+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A physics-guided neural network embedding AdS5 Dirac equation and holographic Pomeron fits SLAC proton F2 data with chi-squared per degree of freedom of 0.91 and identifies a kinematic crossover at x approximately 0.19 while recovering Pomeron intercept of 1.0786.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"acteristic signals of QCD phase transitions in heavy-ion collision experiments [36, 59, 60]. In the realm of lat- tice QCD, generative models have significantly mitigated the critical slowing down problem in configuration sam- pling [61]. Furthermore, deep learning has become a standard tool for jet tagging and the identification of complex final states [24, 62, 63]. Notably, the advent of Physics-Informed Neural Networks (PINNs) has pro- vided a powerful framework for solving problems in high- energy physics [64, 65]. Nevertheless, purely data-driven neural networks frequently suffer from the \"black box\" dilemma. While they possess extreme flexibility in fit- ting data, their phenomenological extrapolations often"},{"citing_arxiv_id":"2603.27846","ref_index":10,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Full energy fraction and angular dependence of medium-induced splittings in the large-$N_c$ limit","primary_cat":"hep-ph","submitted_at":"2026-03-29T20:07:48+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"In large-Nc and harmonic oscillator limits, medium-induced splittings are computed analytically double-differential in z and θ, with an improved semi-hard approximation validated for high-energy partons.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"Wiedemann,QGP@50: More than Four Decades of Jet Quenching, 8, 2025, 2508.18794. [8] S. Cao and X.-N. Wang,Jet quenching and medium response in high-energy heavy-ion collisions: a review,Rept. Prog. Phys.84(2021) 024301 [2002.04028]. - 36 - [9] L. Apolin' ario, Y.-J. Lee and M. Winn,Heavy quarks and jets as probes of the QGP,Prog. Part. Nucl. Phys.127(2022) 103990 [2203.16352]. [10] L. Cunqueiro and A. M. Sickles,Studying the QGP with Jets at the LHC and RHIC,Prog. Part. Nucl. Phys.124(2022) 103940 [2110.14490]. [11] M. Connors, C. Nattrass, R. Reed and S. Salur,Jet measurements in heavy ion physics,Rev. Mod. Phys.90(2018) 025005 [1705.01974]. [12] A. J. Larkoski, I. Moult and B. Nachman,Jet Substructure at the Large Hadron Collider: A Review"},{"citing_arxiv_id":"2601.10791","ref_index":12,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers","primary_cat":"physics.chem-ph","submitted_at":"2026-01-15T19:00:04+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"OmniMol transfers a billion-jet pre-trained PET foundation model from HEP to molecular dynamics via an interaction-matrix attention bias, delivering strong performance on the oMol dataset with minimal fine-tuning and fast inference.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2512.05199","ref_index":67,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Jet Charge with Global Event Shapes: Probing Quark Flavor Dynamics","primary_cat":"hep-ph","submitted_at":"2025-12-04T19:08:08+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A factorization theorem is derived for the joint measurement of 1-jettiness and jet charge in DIS, introducing a new universal charged jet function that enhances quark flavor separation in initial-state PDFs and probes final-state hadronization.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"1901.10342","ref_index":10,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Looking inside jets: an introduction to jet substructure and boosted-object phenomenology","primary_cat":"hep-ph","submitted_at":"2019-01-29T15:37:15+00:00","verdict":null,"verdict_confidence":null,"novelty_score":null,"formal_verification":null,"one_line_summary":null,"context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"sions, providing new observables helping to improve our understanding of this difficult question. Finally, particle physics in general, and jet physics in particular, is enjoying a period of rapid development as innovative ideas and techniques exploiting machine- learning are poured into the field. Unfortunately, this topic goes beyond the scope of this book and we refer the interested reader to the recent review [10]. Although this book focuses on LHC physics, it is worth pointing out that jet sub- structure techniques have also been used at other colliders, such as the Tevatron or RHIC. Due to the lower collision energy, the scope of substructure studies is more lim- ited. We can however point the readers to Refs. [13, 7] for reviews of substructure studies at the Tevatron and to Ref."}],"limit":50,"offset":0}