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Paper Citation Record · LEDGER

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:1908.08256.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.08256 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:49:13.704118Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:43.199702Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T01:11:24.557202Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved40
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation be9e4e06-a12b-4dce-84db-4620c6fe013c · outbound

This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 1

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Observation 422de88f-a631-40e3-861e-d61351fd558d · outbound

This paper cites Jet Substructure at the Large Hadron Collider: Experimental Review.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Substructure at the Large Hadron Collider: Experimental Review

Reference 2

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Observation 4c7cd1ec-372d-4bf1-9d2a-43166e02a013 · outbound

This paper cites Looking inside jets: an introduction to jet substructure and boosted-object phenomenology.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Looking inside jets: an introduction to jet substructure and boosted-object phenomenology

Reference 3

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Observation 3bb73fc2-e92a-44f8-a498-fe0a2c6fe972 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Playing Tag with ANN: Boosted Top Identification with Pattern Recognition

Reference 4

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source=pdf_text observed=2026-08-14T11:49:13.496070Z digest=sha256:f737fc3455b0087d75d07b760678ea60028d7098b2fcd765fe65549e8bc0b26d

Observation d280c792-a080-4ee0-a6c2-8c4a0cadd102 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet-Images -- Deep Learning Edition

Reference 5

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source=pdf_text observed=2026-08-14T11:49:13.501509Z digest=sha256:a79f6aa1555822b6c08befd1ff6ace02825c174ef919f7992609b1102d8e1c53

Observation 49bf85c4-b2de-4fae-b78b-4ff30abbe5fc · outbound

This paper cites Jet Substructure Classification in High-Energy Physics with Deep Neural Networks.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Substructure Classification in High-Energy Physics with Deep Neural Networks

Reference 6

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Observation f1819473-a26e-4bb4-aa11-afe5c26bacb5 · outbound

This paper cites Jet Flavor Classification in High-Energy Physics with Deep Neural Networks.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Flavor Classification in High-Energy Physics with Deep Neural Networks

Reference 7

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Observation c93abc4b-0737-4a0c-aa1b-b908844ad28c · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Deep learning in color: towards automated quark/gluon jet discrimination

Reference 8

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source=pdf_text observed=2026-08-14T11:49:13.516928Z digest=sha256:95e85cad49fd29edf7595c534d1d0e0792a527f9e7045b048856177cfdd6e927

Observation 3e24d441-55e3-4ed0-acf3-2feb6971e1e8 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Deep-learning Top Taggers or The End of QCD?

Reference 9

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source=pdf_text observed=2026-08-14T11:49:13.522381Z digest=sha256:ccf43439993c180bc55a9ffc77077146abc7e63b8b084a0be6c05ec0786ea2a8

Observation 20c96574-6402-4a64-afd9-113077c42893 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning QCD-Aware Recursive Neural Networks for Jet Physics

Reference 10

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Observation 53c2baf1-af0e-417d-91f9-1d27e97b0a9c · outbound

This paper cites Jet Constituents for Deep Neural Network Based Top Quark Tagging.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Constituents for Deep Neural Network Based Top Quark Tagging

Reference 11

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Observation e01afb61-1651-466d-8078-5fb723f991d5 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Deep-learned Top Tagging with a Lorentz Layer

Reference 12

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Observation 0cce958f-318f-4993-a3aa-dc265e36df69 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Recursive Neural Networks in Quark/Gluon Tagging

Reference 13

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Observation b61f867d-41cb-4966-8e95-5147bdc2efc9 · outbound

This paper cites Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC

Reference 14

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Observation f6750fb0-5dba-4c9e-b22d-c9aec59d821a · outbound

This paper cites an unresolved cited work.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Unresolved cited work

Reference 15

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Observation 69e1468e-3067-4ac0-a229-9a2978ebe945 · outbound

This paper cites Pulling Out All the Tops with Computer Vision and Deep Learning.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Pulling Out All the Tops with Computer Vision and Deep Learning

Reference 16

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Observation 398d1a80-d0d8-4341-87f1-28357ae49d13 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Automating the Construction of Jet Observables with Machine Learning

Reference 17

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Observation 6ab87a87-adac-4945-8857-aa756f4c10ac · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning ParticleNet: Jet Tagging via Particle Clouds

Reference 18

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Observation 52ccaf20-aa52-40ef-9d94-89c4531590c4 · outbound

This paper cites The Machine Learning Landscape of Top Taggers.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning The Machine Learning Landscape of Top Taggers

Reference 19

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Observation 0adff780-3480-4a4e-a9ce-36c9b749e40f · outbound

This paper cites Uncovering latent jet substructure.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Uncovering latent jet substructure

Reference 20

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Observation 31a20b05-7824-421c-8708-260bf523addb · outbound

This paper cites Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network

Reference 21

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Observation b689551d-0996-4d18-844f-e37cbbd8d9fa · outbound

This paper cites CapsNets Continuing the Convolutional Quest.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning CapsNets Continuing the Convolutional Quest

Reference 22

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Observation 2cae4882-7dd2-4ebf-9636-7b707f049ed8 · outbound

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning JEDI-net: a jet identification algorithm based on interaction networks

Reference 23

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Observation 686d8b28-464f-4c8d-9e24-6ddcd738cf8c · outbound

This paper cites an unresolved cited work.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Unresolved cited work

Reference 24

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Observation 50b236b2-3f3b-4348-ac18-93a3724781a2 · outbound

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Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Unresolved cited work

Reference 25

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Observation 5bc0c188-04f1-4fbf-92f1-b405029baf7f · outbound

This paper cites Jet Charge at the LHC.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Charge at the LHC

Reference 26

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Observation ad37ea7f-f9c8-4e5d-bb79-4126f984de89 · outbound

This paper cites Measurement of jet charge in dijet events from sqrt(s)=8 TeV pp collisions with the ATLAS detector.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Measurement of jet charge in dijet events from sqrt(s)=8 TeV pp collisions with the ATLAS detector

Reference 27

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Observation f0a6adab-0ad8-4589-8d25-ef86bd235eb4 · outbound

This paper cites Measurements of jet charge with dijet events in pp collisions at sqrt(s) = 8 TeV.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Measurements of jet charge with dijet events in pp collisions at sqrt(s) = 8 TeV

Reference 28

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Observation bd6fd870-76ab-45fa-be73-28b72b1af459 · outbound

This paper cites A new method to distinguish hadronically decaying boosted $Z$ bosons from $W$ bosons using the ATLAS detector.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning A new method to distinguish hadronically decaying boosted $Z$ bosons from $W$ bosons using the ATLAS detector

Reference 29

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Observation 690f7d07-58da-44a4-ad99-5d1510e4139d · outbound

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Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Unresolved cited work

Reference 30

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Observation bb126ac4-baf2-44c7-af60-08b36ebf429e · outbound

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Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Jet Charge and Machine Learning

Reference 31

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Observation 61f77704-8a25-4c9b-9a26-78cf2c1dd461 · outbound

This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Reference 32

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Observation 6578a4c6-84c2-42b8-9b72-c1c50a975e8a · outbound

This paper cites GMCALC: a calculator for the Georgi-Machacek model.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning GMCALC: a calculator for the Georgi-Machacek model

Reference 33

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Observation 9f526783-46df-4288-808c-46c2d94eb7f1 · outbound

This paper cites An Introduction to PYTHIA 8.2.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning An Introduction to PYTHIA 8.2

Reference 34

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Observation ad4fefe5-202d-4084-b7b9-a0239319d7c1 · outbound

This paper cites DELPHES 3, A modular framework for fast simulation of a generic collider experiment.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning DELPHES 3, A modular framework for fast simulation of a generic collider experiment

Reference 35

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Observation a91432a3-6365-42f3-992e-c8aa5111775f · outbound

This paper cites FastJet user manual.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning FastJet user manual

Reference 36

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Observation f97faab6-4ef5-40d6-a2b8-78adee9507f1 · outbound

This paper cites The anti-k_t jet clustering algorithm.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning The anti-k_t jet clustering algorithm

Reference 37

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Observation e88a431b-2a72-4b73-b21c-4e9efbb45d91 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 38

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Observation e1474eef-4f6e-4e45-9eff-2dc54c4edfe5 · outbound

This paper cites Pedregosa, G.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Pedregosa, G

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-14T11:49:14.449260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8242ebea-9317-4b69-a7c4-3803bbd6fe3b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Adam: A Method for Stochastic Optimization

Reference 40

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Observation 98064819-f3a3-41f8-998b-e4eda7cfa992 · outbound

This paper cites Simonyan, A.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Simonyan, A

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-14T11:49:14.432936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f10325e9-7916-42f2-ad27-64c3fb700750 · outbound

This paper cites keras-vis.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning keras-vis

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-14T11:49:14.416899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 22b93465-f531-4380-92c0-fad80b67b8ee · outbound

This paper cites Identity Mappings in Deep Residual Networks.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Identity Mappings in Deep Residual Networks

Reference 43

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source=pdf_text observed=2026-08-14T11:49:13.688769Z digest=sha256:9bd9c7faa83e3e392890205c805eaca0be84241bc83f012bc7722baafee0793c

Observation 26291bda-b16f-4e9d-bbad-06003d195f04 · outbound

This paper cites Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Reference 44

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source=pdf_text observed=2026-08-14T11:49:13.693758Z digest=sha256:c0644221ea22415d2f7d67da718ad89b767410551a53c48ecbbff74c78551711

Observation 377ff381-22b3-44c8-b200-b6962ab21a13 · outbound

This paper cites Herwig++ Physics and Manual.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Herwig++ Physics and Manual

Reference 45

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source=pdf_text observed=2026-08-14T11:49:13.699106Z digest=sha256:256f8d45143e7d15367e091d3e3e7a1f5371877528af810e0e392b48ea1b94a7

Observation cedd1779-6f12-4651-99ad-557ae469da06 · outbound

This paper cites Herwig 7.0 / Herwig++ 3.0 Release Note.

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Herwig 7.0 / Herwig++ 3.0 Release Note

Reference 46

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source=pdf_text observed=2026-08-14T11:49:13.704118Z digest=sha256:6f93e9ccc7439284b746b6aa4bf8307e588189a0acda4e86c1487732a967d8eb

Pith citing papers

Observation 953f33dd-c37d-47a8-b157-c6dfea7b4594 · inbound

Exploring anomalous couplings in Higgs boson pair production through shape analysis cites this paper.

Exploring anomalous couplings in Higgs boson pair production through shape analysis Boosted $W/Z$ Tagging with Jet Charge and Deep Learning

Reference 89

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source=pdf_text observed=2026-08-14T11:29:27.577224Z digest=sha256:2a1fb6aa32f0ea35a484e9189dcd781aca9a580dde63748c2c31be489ab50b3e

Observation d1f66fec-ffca-41cf-8a9b-f1b034bacc2c · inbound

Graph theory inspired anomaly detection at the LHC cites this paper.

Graph theory inspired anomaly detection at the LHC Boosted $W/Z$ Tagging with Jet Charge and Deep Learning

Reference 110

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no resolver link, observed 2026-08-15T18:31:43.199702Z

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source=pdf_text observed=2026-08-15T18:31:43.199702Z digest=sha256:f3b12b4e518641543dedee5f01e5c7f89478dc89e984843a48989b4f9ebaa7f1

Observation 3eecd0bf-8f00-4496-a1ae-9faadb17a07d · inbound

Jet Charge with Global Event Shapes: Probing Quark Flavor Dynamics cites this paper.

Jet Charge with Global Event Shapes: Probing Quark Flavor Dynamics Boosted $W/Z$ Tagging with Jet Charge and Deep Learning

Reference 52

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verified exact
arxiv_id, observed 2026-05-17T01:11:24.559305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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