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Paper Citation Record · LEDGER

The Machine Learning Landscape of Top Taggers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:1902.09914.

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

pith.paper-citation-record.v1
1902.09914 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:16.230307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:37.405955Z

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Outbound references

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Pith citing papers

Observation 00871a16-4676-4e3e-a143-a2c538e2775c · inbound

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

JEDI-net: a jet identification algorithm based on interaction networks The Machine Learning Landscape of Top Taggers

Reference 23

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

Boosted $W/Z$ Tagging with Jet Charge and Deep Learning cites this paper.

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

Reference 19

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source=pdf_text observed=2026-08-14T11:49:13.570997Z digest=sha256:c3490af53ff736c85370ef4978cc83331db5290795d3cfb90b3ace2f11e64f3f

Observation 9df74e9f-6390-45f4-ae1f-321afeedefc8 · 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 The Machine Learning Landscape of Top Taggers

Reference 86

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no resolver link, observed 2026-08-14T11:29:27.561091Z

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source=pdf_text observed=2026-08-14T11:29:27.561091Z digest=sha256:c48b6de4fac982290e87e42815f38f1c206b06de06b213cc4ff1d28787d3d7f2

Observation 15374491-e685-45fc-90e7-569c179a718e · inbound

Mass Agnostic Jet Taggers cites this paper.

Mass Agnostic Jet Taggers The Machine Learning Landscape of Top Taggers

Reference 24

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source=pdf_text observed=2026-08-14T11:29:06.429943Z digest=sha256:2d3802e82996dd7b9bc968057bfa9100f2484186b003cf4d5795f4694c61942a

Observation f437b81b-f084-4c99-811c-acc3110bc7f8 · inbound

Lund jet images from generative and cycle-consistent adversarial networks cites this paper.

Lund jet images from generative and cycle-consistent adversarial networks The Machine Learning Landscape of Top Taggers

Reference 23

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no resolver link, observed 2026-08-14T05:24:54.829353Z

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source=pdf_text observed=2026-08-14T05:24:54.829353Z digest=sha256:0cd929df1ac2b75216c31ed31e681230b02d463e3e94e679d3d36c6dbdc332d5

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

Transformer networks for Heavy flavor jet tagging cites this paper.

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

Reference 15

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source=pdf_text observed=2026-08-12T18:30:19.226193Z digest=sha256:2a545b6b01275084b05fb2d5f4a89bd3908513317a0038292c4a5f719acbad08

Observation ac34b725-5e01-4cfb-b6d5-5639fe7ca6f1 · inbound

Improving the performance of weak supervision searches using data augmentation cites this paper.

Improving the performance of weak supervision searches using data augmentation The Machine Learning Landscape of Top Taggers

Reference 29

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source=pdf_text observed=2026-08-12T05:42:37.539909Z digest=sha256:27c06cf3fc716b86470f759943122202ebf65d5c7436a450f5cb1b83da6a686a

Observation 3e1c33ce-07ad-4669-915a-bce1194276b1 · inbound

IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.

IAFormer: Interaction-Aware Transformer network for collider data analysis The Machine Learning Landscape of Top Taggers

Reference 6

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arxiv_id, observed 2026-05-22T17:14:59.469486Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1f3e2650-b0a2-434b-9776-2a907d876534 · inbound

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC cites this paper.

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC The Machine Learning Landscape of Top Taggers

Reference 118

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source=pdf_text observed=2026-08-15T23:34:16.230307Z digest=sha256:c03a49b73a3f6f17586b4819223d464af156f1b86736d7b8eda153f6e29ced77

Observation ce46eba3-b69f-49f3-9934-5321c7ca7224 · inbound

Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization cites this paper.

Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization The Machine Learning Landscape of Top Taggers

Reference 49

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source=pdf_text observed=2026-08-07T15:05:54.414278Z digest=sha256:55ceb5bfd0b6fb2f0af4dfad352af07eac8a0350f2ca608030da7858b4907ae6

Observation b99154c0-955b-4fa2-93f9-b53c7dd30dd9 · inbound

Hunting and identifying coloured resonances in four top events with machine learning cites this paper.

Hunting and identifying coloured resonances in four top events with machine learning The Machine Learning Landscape of Top Taggers

Reference 31

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source=pdf_text observed=2026-08-07T10:55:22.263468Z digest=sha256:065d0575b5620ff2cea69213f06ace4381c365c16e296829ca33727f901d783c

Observation 8a0ae440-a1f3-4c9d-9935-0157aa15a16d · inbound

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

Graph theory inspired anomaly detection at the LHC The Machine Learning Landscape of Top Taggers

Reference 108

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source=pdf_text observed=2026-08-15T18:31:43.192029Z digest=sha256:62092818262db7b8890d874a6ebc39fcbe74376d99442d5e6a3401ca9683b206

Observation d4f91b71-0cfd-43c4-85ad-f8f30b3f47a6 · inbound

Enhancing next token prediction based pre-training for jet foundation models cites this paper.

Enhancing next token prediction based pre-training for jet foundation models The Machine Learning Landscape of Top Taggers

Reference 6

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source=pdf_text observed=2026-08-03T18:42:08.705700Z digest=sha256:d623f1e202f78fc594cc6bddbe820ccc4156d4c128b3d39d6078c2381f9cfcb3

Observation 9d3fb5bb-5efd-4133-9971-e974d13efce2 · inbound

SparsePixels: Efficient Convolution for Sparse Data on FPGAs cites this paper.

SparsePixels: Efficient Convolution for Sparse Data on FPGAs The Machine Learning Landscape of Top Taggers

Reference 12

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Observation 4fbfb168-2198-45c0-aee7-b07229253870 · inbound

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers cites this paper.

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers The Machine Learning Landscape of Top Taggers

Reference 13

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arxiv_id, observed 2026-05-16T13:20:58.003925Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f13705bb-0dbb-4877-ac8e-a316e1c9a270 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier The Machine Learning Landscape of Top Taggers

Reference 44

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Observation dd97d99d-cbc3-48da-9004-123ffc90f64e · inbound

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach cites this paper.

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach The Machine Learning Landscape of Top Taggers

Reference 22

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arxiv_id, observed 2026-05-11T00:15:51.601569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4e6d19a1-eb35-4084-998d-145d3d38f33f · inbound

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane cites this paper.

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane The Machine Learning Landscape of Top Taggers

Reference 12

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arxiv_id, observed 2026-05-12T00:01:14.876790Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2e5407b3-edb5-4607-8252-7acb697e8928 · inbound

Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC cites this paper.

Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC The Machine Learning Landscape of Top Taggers

Reference 34

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arxiv_id, observed 2026-05-20T09:38:10.667122Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 93a14418-db09-4427-aec3-d1839159df4c · inbound

What Do Lorentz-Equivariant Jet Taggers Learn? cites this paper.

What Do Lorentz-Equivariant Jet Taggers Learn? The Machine Learning Landscape of Top Taggers

Reference 18

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arxiv_id, observed 2026-07-04T06:49:37.408168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T14:14:19.803069Z digest=sha256:940e2bafd5c6df795ff54ee892b6c1fbf5e1b17722104fec8d38f6a2200130f4

Observation 9fd1e067-72a8-4669-a2a2-c58dfc03ea99 · inbound

Machine learning fully hadronic events with spectral functions cites this paper.

Machine learning fully hadronic events with spectral functions The Machine Learning Landscape of Top Taggers

Reference 13

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arxiv_id, observed 2026-07-01T18:15:58.521990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T02:16:25.681838Z digest=sha256:e5b0ff86de924443725aef6099c1ea42e62980f312d26929cd7a44b4a455e40a

Observation 4681c7dd-f646-4091-8fa3-c2e474ef153e · inbound

Machine learning fully hadronic events with spectral functions cites this paper.

Machine learning fully hadronic events with spectral functions The Machine Learning Landscape of Top Taggers

Reference 13

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no resolver link, observed 2026-07-12T11:44:28.626561Z

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source=pdf_text observed=2026-07-12T11:44:28.626561Z digest=sha256:846a2e6292647e273491023a3974c88f5caef2bfe4a58ea978a95492cf09f077

Observation ee069862-2f4a-484c-b2a6-8485d03b435d · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations The Machine Learning Landscape of Top Taggers

Reference 197

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source=arxiv_source observed=2026-08-01T04:29:18.769008Z digest=sha256:8deff693255d45c09d65b9e4439632c0f6ded81431bb400593d8d190412ba13a

Observation e4728064-7e15-446f-8af4-5fba278247a2 · inbound

Predict before you train: Scaling Laws for particle physics foundation models cites this paper.

Predict before you train: Scaling Laws for particle physics foundation models The Machine Learning Landscape of Top Taggers

Reference 13

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source=pdf_text observed=2026-07-30T23:56:38.574524Z digest=sha256:650fb4e50537216d2874fca03fa9c25d5209cfd7b506a818847b8ed6880defea

Observation 88b33756-aadc-4215-ad9e-3d511080e1d1 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO The Machine Learning Landscape of Top Taggers

Reference 99

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Observation 9311b630-be2e-49b8-bdbd-85ef96d743e8 · inbound

Virtues and Vices of Equivariant Transformers cites this paper.

Virtues and Vices of Equivariant Transformers The Machine Learning Landscape of Top Taggers

Reference 1

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source=pdf_text observed=2026-08-07T00:13:49.089001Z digest=sha256:97bc6cbf98296de82ae941108c1b845de432ff06e5787fcf35d305cc193f8b60

Observation 720dcf1c-6feb-442e-974d-ac6f23586b6b · inbound

Machine Learning is Good for Physics - and Vice Versa cites this paper.

Machine Learning is Good for Physics - and Vice Versa The Machine Learning Landscape of Top Taggers

Reference 13

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source=pdf_text observed=2026-08-07T23:04:30.315872Z digest=sha256:1f60ebb8e57747059df0b1c6b81cf140df86657184df007c0a21d9db6826259b

Observation b9d2f82e-52a0-481a-9a2b-049b02faec26 · inbound

The Living Guide of Machine Learning for Particle Physics cites this paper.

The Living Guide of Machine Learning for Particle Physics The Machine Learning Landscape of Top Taggers

Reference 14

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