Transformer networks for Heavy flavor jet tagging | Paper Citation Record

Observation 7e464581-a200-4406-8f4f-043544c5e6c7 · outbound

This paper cites Jet substructure as a new Higgs search channel at the LHC.

Transformer networks for Heavy flavor jet tagging Jet substructure as a new Higgs search channel at the LHC

Reference 1

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Observation bb9948ec-b751-41ee-ad1f-ba1c9aacdf80 · outbound

This paper cites an unresolved cited work.

Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 2

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Observation 56d6c9c8-1c5e-4f2a-8066-cec7068a2632 · outbound

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Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 3

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Observation 9c1e4b1c-b21c-40e0-99d7-5940f1de3ccb · outbound

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Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 4

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Observation c5eb036f-d2c7-4128-ad41-773ebf198331 · outbound

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Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 5

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Observation 3b52423e-6e45-4124-9a7b-cc19e072a6ab · outbound

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Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 6

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Observation 24f75e9a-e60f-4ee9-88ee-f52f8d1177eb · outbound

This paper cites Foundation of Machine Learning Physics.

Transformer networks for Heavy flavor jet tagging Foundation of Machine Learning Physics

Reference 7

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Observation 60f4114b-b73a-4585-aa99-7e2d9d0dc82f · outbound

This paper cites Boosted objects: a probe of beyond the Standard Model physics.

Transformer networks for Heavy flavor jet tagging Boosted objects: a probe of beyond the Standard Model physics

Reference 8

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Observation 4a748eb3-e6b1-48f7-b48e-b31669027e59 · outbound

This paper cites Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks.

Transformer networks for Heavy flavor jet tagging Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks

Reference 9

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Observation 29943499-710b-4e99-b7de-e2a6a54fdd78 · outbound

This paper cites Boosted objects and jet substructure at the LHC.

Transformer networks for Heavy flavor jet tagging Boosted objects and jet substructure at the LHC

Reference 10

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Observation 5c6af0ab-a3dd-4704-b81a-2e20ad3f495a · outbound

This paper cites Playing Tag with ANN: Boosted Top Identification with Pattern Recognition.

Transformer networks for Heavy flavor jet tagging Playing Tag with ANN: Boosted Top Identification with Pattern Recognition

Reference 11

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Observation d534cc4a-a147-45e5-8dab-fd004b42da83 · outbound

This paper cites Deep-learned Top Tagging with a Lorentz Layer.

Transformer networks for Heavy flavor jet tagging Deep-learned Top Tagging with a Lorentz Layer

Reference 12

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Observation 80e713e6-5683-489d-abb0-2ab4aa90e443 · outbound

This paper cites Deep-learning Top Taggers or The End of QCD?.

Transformer networks for Heavy flavor jet tagging Deep-learning Top Taggers or The End of QCD?

Reference 13

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Observation 580893fa-9f8c-4025-855a-9d95371730c2 · outbound

This paper cites QCD-Aware Recursive Neural Networks for Jet Physics.

Transformer networks for Heavy flavor jet tagging QCD-Aware Recursive Neural Networks for Jet Physics

Reference 14

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Observation eb8d6814-dd4e-450a-b797-a08ba1da6d2f · outbound

This paper cites The Machine Learning Landscape of Top Taggers.

Transformer networks for Heavy flavor jet tagging The Machine Learning Landscape of Top Taggers

Reference 15

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Observation 3ec6c5e3-4318-4f68-a163-0ab3a82de2bc · outbound

This paper cites Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions.

Transformer networks for Heavy flavor jet tagging Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions

Reference 16

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Observation 6b64ec5c-f3ba-434a-9671-6b29dcf2e342 · outbound

This paper cites Boosted top quark tagging and polarization measurement using machine learning.

Transformer networks for Heavy flavor jet tagging Boosted top quark tagging and polarization measurement using machine learning

Reference 17

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Observation 3147dfed-b653-43b0-b3bc-8062d439b936 · outbound

This paper cites Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons.

Transformer networks for Heavy flavor jet tagging Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons

Reference 18

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Observation a0663bc0-9871-41a7-ab2a-c8febd16d370 · outbound

This paper cites Jet tagging in the Lund plane with graph networks.

Transformer networks for Heavy flavor jet tagging Jet tagging in the Lund plane with graph networks

Reference 19

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Observation cbdd98d5-e7ed-45af-b120-d2170af2b54f · outbound

This paper cites Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC.

Transformer networks for Heavy flavor jet tagging Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC

Reference 20

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Observation 39318411-3006-4568-9b0f-dad302017603 · outbound

This paper cites Leveraging universality of jet taggers through transfer learning.

Transformer networks for Heavy flavor jet tagging Leveraging universality of jet taggers through transfer learning

Reference 21

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Observation d47ab239-6220-4927-b7c0-78064b30695c · outbound

This paper cites Search for Mono-Higgs Signals in $b\bar b$ Final States Using Deep Neural Networks.

Transformer networks for Heavy flavor jet tagging Search for Mono-Higgs Signals in $b\bar b$ Final States Using Deep Neural Networks

Reference 22

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Observation 3d1fcbe1-a835-4d6c-ab4c-fd8e75e2414f · outbound

This paper cites Application of deep learning in top pair and single top quark production at the LHC.

Transformer networks for Heavy flavor jet tagging Application of deep learning in top pair and single top quark production at the LHC

Reference 23

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Observation 4956af9f-43c6-4e30-873a-b02f9000c3af · outbound

This paper cites BIP: Boost Invariant Polynomials for Efficient Jet Tagging.

Transformer networks for Heavy flavor jet tagging BIP: Boost Invariant Polynomials for Efficient Jet Tagging

Reference 24

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Observation b1e89602-52e0-4cd0-a16a-682d8bcfcd82 · outbound

This paper cites Quark/Gluon Discrimination and Top Tagging with Dual Attention Transformer.

Transformer networks for Heavy flavor jet tagging Quark/Gluon Discrimination and Top Tagging with Dual Attention Transformer

Reference 25

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Observation e823b344-dcab-45d5-a711-1e2af664cf1a · outbound

This paper cites Gradient Boosting MUST taggers for highly-boosted jets.

Transformer networks for Heavy flavor jet tagging Gradient Boosting MUST taggers for highly-boosted jets

Reference 26

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Observation 1d1b4ffd-2cf3-4d70-93a8-b0e8c13bfdd1 · outbound

This paper cites Is infrared-collinear safe information all you need for jet classification?.

Transformer networks for Heavy flavor jet tagging Is infrared-collinear safe information all you need for jet classification?

Reference 27

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Observation 4005d16f-53d1-45cd-965a-d7a6f3d6ed30 · outbound

This paper cites Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks.

Transformer networks for Heavy flavor jet tagging Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks

Reference 28

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Observation bbc4030c-15af-45bc-a66e-4cc544ae2066 · outbound

This paper cites Exploring Exotic Decays of the Higgs Boson to Multi-Photons at the LHC via Multimodal Learning Approaches.

Transformer networks for Heavy flavor jet tagging Exploring Exotic Decays of the Higgs Boson to Multi-Photons at the LHC via Multimodal Learning Approaches

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.304219Z

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Observation 093cb821-708c-41d2-80b9-fb0fe40256cc · outbound

This paper cites Streamlined jet tagging network assisted by jet prong structure.

Transformer networks for Heavy flavor jet tagging Streamlined jet tagging network assisted by jet prong structure

Reference 30

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Observation 670875c1-0d1a-4a89-b5fc-bb5f3d89d411 · outbound

This paper cites Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV.

Transformer networks for Heavy flavor jet tagging Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Reference 31

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Observation a9f2d0bc-18cc-4d2e-af08-d8b33f351bb1 · outbound

This paper cites an unresolved cited work.

Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 32

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Observation eb1f884f-1fa7-4f19-a871-0ae6b7bac0cc · outbound

This paper cites Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques.

Transformer networks for Heavy flavor jet tagging Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Reference 33

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Observation 59aba939-2e60-496b-9d5e-5f559cb2a96c · outbound

This paper cites Fast $b$-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3.

Transformer networks for Heavy flavor jet tagging Fast $b$-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3

Reference 34

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Observation a557a34a-6aeb-4e8d-8fdb-2107419776b2 · outbound

This paper cites End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data.

Transformer networks for Heavy flavor jet tagging End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data

Reference 35

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Observation a350fe11-7daf-44f2-acef-9def01fac228 · outbound

This paper cites Machine Learning in Top Physics in the ATLAS and CMS Collaborations.

Transformer networks for Heavy flavor jet tagging Machine Learning in Top Physics in the ATLAS and CMS Collaborations

Reference 36

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Observation 9a6c5e12-da1b-451b-838b-c65a40ce0302 · outbound

This paper cites Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes.

Transformer networks for Heavy flavor jet tagging Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes

Reference 37

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Observation f5a4dff3-7c21-4c68-9d6e-cc4f50d613ad · outbound

This paper cites Multi-scale cross-attention transformer encoder for event classification.

Transformer networks for Heavy flavor jet tagging Multi-scale cross-attention transformer encoder for event classification

Reference 38

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Observation 8273a669-d04e-49c1-9c7a-c3c2aab848b1 · outbound

This paper cites Sharpening the $A\to Z^{(*)}h $ Signature of the Type-II 2HDM at the LHC through Advanced Machine Learning.

Transformer networks for Heavy flavor jet tagging Sharpening the $A\to Z^{(*)}h $ Signature of the Type-II 2HDM at the LHC through Advanced Machine Learning

Reference 39

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Observation a8965b20-c06a-4fcf-b0e5-cd514cd7dfc8 · outbound

This paper cites Automating the Construction of Jet Observables with Machine Learning.

Transformer networks for Heavy flavor jet tagging Automating the Construction of Jet Observables with Machine Learning

Reference 40

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Observation dddc5bb3-1508-4403-b863-90eaecca1feb · outbound

This paper cites Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra.

Transformer networks for Heavy flavor jet tagging Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra

Reference 41

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Observation 8ec6381b-44aa-42be-8c0c-acf5ddc78bfc · outbound

This paper cites A $W^\pm$ polarization analyzer from Deep Neural Networks.

Transformer networks for Heavy flavor jet tagging A $W^\pm$ polarization analyzer from Deep Neural Networks

Reference 42

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Observation f103e9e9-ab4c-455e-a29b-d828dc98657f · outbound

This paper cites Role of polarizations and spin-spin correlations of $W's$ in $e^-e^+ \to W^-W^+$ at $\sqrt{s} = 250$ GeV to probe anomalous $W^-W^+Z/\gamma$ couplings.

Transformer networks for Heavy flavor jet tagging Role of polarizations and spin-spin correlations of $W's$ in $e^-e^+ \to W^-W^+$ at $\sqrt{s} = 250$ GeV to probe anomalous $W^-W^+Z/\gamma$ couplings

Reference 43

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Observation 7227a8dd-68c7-4a95-b6f8-f9de75fae35d · outbound

This paper cites Explainable Equivariant Neural Networks for Particle Physics: PELICAN.

Transformer networks for Heavy flavor jet tagging Explainable Equivariant Neural Networks for Particle Physics: PELICAN

Reference 44

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Observation 9b6c2ce4-f048-409b-892f-8949e01b4e84 · outbound

This paper cites An updated hybrid deep learning algorithm for identifying and locating primary vertices.

Transformer networks for Heavy flavor jet tagging An updated hybrid deep learning algorithm for identifying and locating primary vertices

Reference 45

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Observation 7459221c-8941-44bf-af07-fff9c51ccbd1 · outbound

This paper cites Secondary Vertex Finding in Jets with Neural Networks.

Transformer networks for Heavy flavor jet tagging Secondary Vertex Finding in Jets with Neural Networks

Reference 46

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Observation 433122a3-d32d-4795-9ec4-94942bacc741 · outbound

This paper cites Development of a Vertex Finding Algorithm using Recurrent Neural Network.

Transformer networks for Heavy flavor jet tagging Development of a Vertex Finding Algorithm using Recurrent Neural Network

Reference 47

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Observation d2e11382-fe2d-416e-a760-8dbefae94c22 · outbound

This paper cites Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC.

Transformer networks for Heavy flavor jet tagging Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC

Reference 48

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Observation ddef3e8c-d2d6-4ec9-bb04-d8038df3737a · outbound

This paper cites A tagger for strange jets based on tracking information using long short-term memory.

Transformer networks for Heavy flavor jet tagging A tagger for strange jets based on tracking information using long short-term memory

Reference 49

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Observation cf6c4e3c-f6fa-4308-9e96-7b3611599191 · outbound

This paper cites Strange Jet Tagging.

Transformer networks for Heavy flavor jet tagging Strange Jet Tagging

Reference 50

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Observation e588b940-6bbb-4dda-b04c-f54c9b2f0242 · outbound

This paper cites Maximum performance of strange-jet tagging at hadron colliders.

Transformer networks for Heavy flavor jet tagging Maximum performance of strange-jet tagging at hadron colliders

Reference 51

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Observation 1c2994a2-178b-4b24-bbb0-54cb45ebdf96 · outbound

This paper cites Deep learning in color: towards automated quark/gluon jet discrimination.

Transformer networks for Heavy flavor jet tagging Deep learning in color: towards automated quark/gluon jet discrimination

Reference 52

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Observation 63f4be7a-1835-4210-8772-0502942cb396 · outbound

This paper cites Recursive Neural Networks in Quark/Gluon Tagging.

Transformer networks for Heavy flavor jet tagging Recursive Neural Networks in Quark/Gluon Tagging

Reference 53

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Observation 716afaaf-4bd4-49e6-9133-2d5652a77369 · outbound

This paper cites Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks.

Transformer networks for Heavy flavor jet tagging Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks

Reference 54

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Observation 38bb4812-228d-416d-a102-cadb1d3b5246 · outbound

This paper cites Search for Higgs boson and observation of Z boson through their decay into a charm quark-antiquark pair in boosted topologies in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

Transformer networks for Heavy flavor jet tagging Search for Higgs boson and observation of Z boson through their decay into a charm quark-antiquark pair in boosted topologies in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.483599Z

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Observation 46245eaa-4ab0-4899-9661-4ac046b4285e · outbound

This paper cites Revealing the nature of hidden charm pentaquarks with machine learning.

Transformer networks for Heavy flavor jet tagging Revealing the nature of hidden charm pentaquarks with machine learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.489580Z

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Observation c000f978-d418-4a99-a3d7-7408a97c54a2 · outbound

This paper cites A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider.

Transformer networks for Heavy flavor jet tagging A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.497474Z

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Observation 1b153344-1595-4c89-8a03-eecb8def1fc9 · outbound

This paper cites Particle Transformer for Jet Tagging.

Transformer networks for Heavy flavor jet tagging Particle Transformer for Jet Tagging

Reference 58

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Observation 90828909-b705-4837-8c77-0cb50ccb41d9 · outbound

This paper cites Improving the performance of weak supervision searches using transfer and meta-learning.

Transformer networks for Heavy flavor jet tagging Improving the performance of weak supervision searches using transfer and meta-learning

Reference 59

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Observation 12453ece-2b69-4d4b-a09f-48aeab43606a · outbound

This paper cites Jet-Images: Computer Vision Inspired Techniques for Jet Tagging.

Transformer networks for Heavy flavor jet tagging Jet-Images: Computer Vision Inspired Techniques for Jet Tagging

Reference 60

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Observation 96878d3b-dd6e-4ec1-b9e6-fff762a43881 · outbound

This paper cites Jet-Images -- Deep Learning Edition.

Transformer networks for Heavy flavor jet tagging Jet-Images -- Deep Learning Edition

Reference 61

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Observation 72c27a71-6086-4b79-a1c9-eb676e3ae812 · outbound

This paper cites Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks.

Transformer networks for Heavy flavor jet tagging Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks

Reference 62

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Observation 6831ec17-6202-484e-81bf-73013ccc5bec · outbound

This paper cites Learning to Classify from Impure Samples with High-Dimensional Data.

Transformer networks for Heavy flavor jet tagging Learning to Classify from Impure Samples with High-Dimensional Data

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.825951Z

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Observation 23bb3ba1-39a6-4dc5-890c-2702c9f7b58f · outbound

This paper cites Quark-Gluon Jet Discrimination Using Convolutional Neural Networks.

Transformer networks for Heavy flavor jet tagging Quark-Gluon Jet Discrimination Using Convolutional Neural Networks

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.798130Z

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Observation ed1f9667-0774-48e3-b508-af7c7841044b · outbound

This paper cites Learning to Isolate Muons.

Transformer networks for Heavy flavor jet tagging Learning to Isolate Muons

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.757127Z

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This paper cites An Attention Based Neural Network for Jet Tagging.

Transformer networks for Heavy flavor jet tagging An Attention Based Neural Network for Jet Tagging

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.713173Z

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This paper cites Reconstructing boosted Higgs jets from event image segmentation.

Transformer networks for Heavy flavor jet tagging Reconstructing boosted Higgs jets from event image segmentation

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.659335Z

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Observation 87d029da-3878-487d-ae11-1288968bc62e · outbound

This paper cites Identifying the Quantum Properties of Hadronic Resonances using Machine Learning.

Transformer networks for Heavy flavor jet tagging Identifying the Quantum Properties of Hadronic Resonances using Machine Learning

Reference 68

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This paper cites A Guide to Diagnosing Colored Resonances at Hadron Colliders.

Transformer networks for Heavy flavor jet tagging A Guide to Diagnosing Colored Resonances at Hadron Colliders

Reference 69

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This paper cites Kheddar, Y.

Transformer networks for Heavy flavor jet tagging Kheddar, Y

Reference 70

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Observation 65ed6f97-4ef5-44b7-8229-c6d710963f88 · outbound

This paper cites Probing stop pair production at the LHC with graph neural networks.

Transformer networks for Heavy flavor jet tagging Probing stop pair production at the LHC with graph neural networks

Reference 71

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Observation c671f164-26d0-40b1-93e8-92e9c01f7e7e · outbound

This paper cites JEDI-net: a jet identification algorithm based on interaction networks.

Transformer networks for Heavy flavor jet tagging JEDI-net: a jet identification algorithm based on interaction networks

Reference 72

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Observation c9840060-17e8-4302-bec2-12e6441a2087 · outbound

This paper cites Casting a graph net to catch dark showers.

Transformer networks for Heavy flavor jet tagging Casting a graph net to catch dark showers

Reference 73

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This paper cites Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.

Transformer networks for Heavy flavor jet tagging Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.432598Z

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Observation a8204a7f-111b-4cc0-86db-8b1dc8157529 · outbound

This paper cites Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs.

Transformer networks for Heavy flavor jet tagging Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Reference 75

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Observation 07117859-6630-415f-876b-e2c96959971d · outbound

This paper cites Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors.

Transformer networks for Heavy flavor jet tagging Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.636217Z

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Observation e5447850-8555-4273-8227-73cad7f37a7d · outbound

This paper cites MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.

Transformer networks for Heavy flavor jet tagging MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

Reference 77

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Observation 3857af7e-a63d-407c-bc7f-4ce58f3ccb9d · outbound

This paper cites Jet characterization in Heavy Ion Collisions by QCD-Aware Graph Neural Networks.

Transformer networks for Heavy flavor jet tagging Jet characterization in Heavy Ion Collisions by QCD-Aware Graph Neural Networks

Reference 78

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Observation ef4e89d6-ff68-4eff-b0dc-50405731c104 · outbound

This paper cites Improved Constraints on Effective Top Quark Interactions using Edge Convolution Networks.

Transformer networks for Heavy flavor jet tagging Improved Constraints on Effective Top Quark Interactions using Edge Convolution Networks

Reference 79

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Observation 5e62ed87-ab36-4e49-968d-da6716179f51 · outbound

This paper cites An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging.

Transformer networks for Heavy flavor jet tagging An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

Reference 80

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This paper cites Jet tagging algorithm of graph network with HaarPooling message passing.

Transformer networks for Heavy flavor jet tagging Jet tagging algorithm of graph network with HaarPooling message passing

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.664271Z

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Observation 5c275bde-8d37-4ab8-9c37-349eb4c7b13a · outbound

This paper cites PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics.

Transformer networks for Heavy flavor jet tagging PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.671698Z

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Observation e4148fbe-6c6a-43a6-9a61-94913a8de5dd · outbound

This paper cites Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments.

Transformer networks for Heavy flavor jet tagging Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.677157Z

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Observation 1dc2f4cf-9653-4c33-9f30-df6f2ee3bc38 · outbound

This paper cites Reconstructing particles in jets using set transformer and hypergraph prediction networks.

Transformer networks for Heavy flavor jet tagging Reconstructing particles in jets using set transformer and hypergraph prediction networks

Reference 84

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Observation f738d49b-6fe7-4f43-86fc-a8e8806c918e · outbound

This paper cites Do graph neural networks learn traditional jet substructure?.

Transformer networks for Heavy flavor jet tagging Do graph neural networks learn traditional jet substructure?

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.690284Z

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Observation 382ec3f2-df23-4f3e-9873-2095c751baaf · outbound

This paper cites Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC.

Transformer networks for Heavy flavor jet tagging Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.165422Z

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Observation 23004e93-560d-457f-ba71-19c96b101afb · outbound

This paper cites Flavour tagging with graph neural networks with the ATLAS detector.

Transformer networks for Heavy flavor jet tagging Flavour tagging with graph neural networks with the ATLAS detector

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.701807Z

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Observation aa2f8c84-a138-40bc-a9b0-7ebf3120e63d · outbound

This paper cites Hypergraphs in LHC Phenomenology -- The Next Frontier of IRC-Safe Feature Extraction.

Transformer networks for Heavy flavor jet tagging Hypergraphs in LHC Phenomenology -- The Next Frontier of IRC-Safe Feature Extraction

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:30:20.120545Z

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Observation 0c32a390-ca4f-47c1-95e4-c1826ee297de · outbound

This paper cites Learning representations of irregular particle-detector geometry with distance-weighted graph networks.

Transformer networks for Heavy flavor jet tagging Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Reference 89

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Transformer networks for Heavy flavor jet tagging Unresolved cited work

Reference 90

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Observation 96daedcf-6031-488d-ac46-b6db426ed0e9 · outbound

This paper cites Zaheer, S.

Transformer networks for Heavy flavor jet tagging Zaheer, S

Reference 91

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Observation eadc8df4-583d-4ff6-84e5-65be4282ace9 · outbound

This paper cites Energy Flow Networks: Deep Sets for Particle Jets.

Transformer networks for Heavy flavor jet tagging Energy Flow Networks: Deep Sets for Particle Jets

Reference 92

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Observation ca4ff1a4-dfb2-443f-8fca-9bdc575b15f6 · outbound

This paper cites Zhang, V.

Transformer networks for Heavy flavor jet tagging Zhang, V

Reference 93

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Observation 4436d530-e2c8-4271-bc66-695b5310d880 · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

Transformer networks for Heavy flavor jet tagging ParticleNet: Jet Tagging via Particle Clouds

Reference 94

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Observation 2735063e-2551-4391-90be-0d7236cc00e0 · outbound

This paper cites SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention.

Transformer networks for Heavy flavor jet tagging SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.743052Z

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Observation 6ebbe6de-d55c-4e5d-a35c-06bea304e815 · outbound

This paper cites Learning the language of QCD jets with transformers.

Transformer networks for Heavy flavor jet tagging Learning the language of QCD jets with transformers

Reference 96

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Observation bc1e1a76-3a89-4c6f-9c91-1cf77d05a578 · outbound

This paper cites Point Cloud Transformers applied to Collider Physics.

Transformer networks for Heavy flavor jet tagging Point Cloud Transformers applied to Collider Physics

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.756385Z

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Observation 74f0f725-7234-4c19-af6f-d2193e9a443a · outbound

This paper cites Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics.

Transformer networks for Heavy flavor jet tagging Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

Reference 98

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Observation 3499d7b4-3c44-4a05-a681-830e1778a5e8 · outbound

This paper cites Equivariant, Safe and Sensitive -- Graph Networks for New Physics.

Transformer networks for Heavy flavor jet tagging Equivariant, Safe and Sensitive -- Graph Networks for New Physics

Reference 99

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This paper cites A new standard for the logarithmic accuracy of parton showers.

Transformer networks for Heavy flavor jet tagging A new standard for the logarithmic accuracy of parton showers

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