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Paper Citation Record · LEDGER

Interpreting Transformers for Jet Tagging

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 7 inbound Pith citation observations for arXiv:2412.03673.

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

pith.paper-citation-record.v1
2412.03673 v2

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measured 21 of 21 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-11T22:17:30.797583Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:16.397806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:37.409476Z

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21 of 21 outbound references displayed

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  • verified fuzzy3
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Outbound references

Observation ee88ac39-7d01-4241-bef3-5352175e9079 · outbound

This paper cites Physics Community Needs, Tools, and Resources for Machine Learning.

Interpreting Transformers for Jet Tagging Physics Community Needs, Tools, and Resources for Machine Learning

Reference 1

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Observation c245ae26-9fb2-415a-a411-ef41622f8e38 · outbound

This paper cites Attention is all you need.

Interpreting Transformers for Jet Tagging Attention is all you need

Reference 2

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Observation 1f5ffc1a-c471-4a98-a3d5-1c0cd4c1e777 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Interpreting Transformers for Jet Tagging Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 3

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Observation a2b808f8-3e5b-4b30-a81c-aa6356d8f64e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Interpreting Transformers for Jet Tagging Gemini: A Family of Highly Capable Multimodal Models

Reference 4

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Observation 6495faa4-664d-4210-9d86-1b6641fb6790 · outbound

This paper cites Language Models are Few-Shot Learners.

Interpreting Transformers for Jet Tagging Language Models are Few-Shot Learners

Reference 5

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source=pdf_text observed=2026-08-11T22:17:30.720702Z digest=sha256:8b8213d5b7798eb27c6ecd9cf1220a68f64fc7d607936158f0116bc4f8e5a30e

Observation 7860c345-0b25-425b-8b05-34f036a409ac · outbound

This paper cites Search for highly energetic double Higgs boson production in the two bottom quark and two vector boson all-hadronic final state.

Interpreting Transformers for Jet Tagging Search for highly energetic double Higgs boson production in the two bottom quark and two vector boson all-hadronic final state

Reference 6

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Observation 8a9ada83-8318-492a-a74b-49de76a76c6f · outbound

This paper cites The Lund Model.

Interpreting Transformers for Jet Tagging The Lund Model

Reference 7

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Observation b0708974-27b4-4a2a-a664-382ae512c9b5 · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

Interpreting Transformers for Jet Tagging ParticleNet: Jet Tagging via Particle Clouds

Reference 8

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Observation df8008b4-8668-41c9-a06c-3a8826bb6418 · outbound

This paper cites Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation.

Interpreting Transformers for Jet Tagging Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation

Reference 9

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Observation 9934bf90-b00e-4fc6-b36a-e8a14dd97d3d · outbound

This paper cites Particle Transformer for Jet Tagging.

Interpreting Transformers for Jet Tagging Particle Transformer for Jet Tagging

Reference 10

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Observation f07e3382-b7a4-4534-90ef-a972b72bc58e · outbound

This paper cites Transformer interpretability beyond attention visualization.

Interpreting Transformers for Jet Tagging Transformer interpretability beyond attention visualization

Reference 11

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Observation 401c56b9-e5d1-4e3f-b588-10ab02e217fc · outbound

This paper cites Graph Neural Networks in Particle Physics.

Interpreting Transformers for Jet Tagging Graph Neural Networks in Particle Physics

Reference 12

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source=pdf_text observed=2026-08-11T22:17:30.755749Z digest=sha256:3736ac5731652f277e53766a21e623996747e28139312cf276b509fbcd53e34f

Observation b26dc34d-54fd-4508-9f78-aa0a1718f51e · outbound

This paper cites Graph Neural Networks for Particle Tracking and Reconstruction.

Interpreting Transformers for Jet Tagging Graph Neural Networks for Particle Tracking and Reconstruction

Reference 13

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Observation 6feb0a56-15c4-4788-94db-09e584c1824d · outbound

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

Interpreting Transformers for Jet Tagging Do graph neural networks learn traditional jet substructure?

Reference 14

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Observation 29c08e3e-479b-4dd2-856c-ff57cbfa6a49 · outbound

This paper cites J ETCLASS : A large-scale dataset for deep learning in jet physics.

Interpreting Transformers for Jet Tagging J ETCLASS : A large-scale dataset for deep learning in jet physics

Reference 15

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Observation b768e07c-5ff1-411c-a0fc-ad6d59f0a30b · outbound

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

Interpreting Transformers for Jet Tagging Jet tagging in the Lund plane with graph networks

Reference 16

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Observation ae7687d0-e83f-4dc9-acc7-9a8f5c20d0bc · outbound

This paper cites Longitudinally invariantKt clustering algorithms for hadron hadron collisions.

Interpreting Transformers for Jet Tagging Longitudinally invariantKt clustering algorithms for hadron hadron collisions

Reference 17

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Observation 0eaaae2b-68ed-453d-bb17-5db962278da6 · outbound

This paper cites FastJet user manual.

Interpreting Transformers for Jet Tagging FastJet user manual

Reference 18

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Observation c08f6d62-db85-43b2-a137-caeaa0f62430 · outbound

This paper cites An array-oriented Python interface for FastJet.

Interpreting Transformers for Jet Tagging An array-oriented Python interface for FastJet

Reference 19

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Observation 188ef3b0-5714-44a1-9298-31039b9d0f0c · outbound

This paper cites Jet Tagging with More-Interaction Particle Transformer.

Interpreting Transformers for Jet Tagging Jet Tagging with More-Interaction Particle Transformer

Reference 20

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Observation b5ada4ff-66d6-471c-a3df-a00e768abd2d · outbound

This paper cites an unresolved cited work.

Interpreting Transformers for Jet Tagging Unresolved cited work

Reference 2022

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Pith citing papers

Observation cae9f3b4-42a5-4ee9-8dee-4e96c689d117 · 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 Interpreting Transformers for Jet Tagging

Reference 159

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source=pdf_text observed=2026-08-15T23:34:16.397806Z digest=sha256:db53c5043ae3d4d36ca7fd7969c674e00e000c367b64f7f3fd95ed14f778f7d5

Observation cb34e909-b08a-4380-9f67-c3f7d8b82c7e · inbound

What exactly did the Transformer learn from our physics data? cites this paper.

What exactly did the Transformer learn from our physics data? Interpreting Transformers for Jet Tagging

Reference 10

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arxiv_id, observed 2026-05-19T13:32:19.240602Z

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Observation 49114a68-b570-44ca-9c5a-deea2f7af4a7 · inbound

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning cites this paper.

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning Interpreting Transformers for Jet Tagging

Reference 89

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Observation fb4af9b6-98c5-44ca-9667-b78b14403821 · inbound

JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs cites this paper.

JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs Interpreting Transformers for Jet Tagging

Reference 12

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source=pdf_text observed=2026-05-18T21:57:19.260642Z digest=sha256:a1963769fc6bc95979a1afcebca64d34fec855ad5d46a305f44576ac6ce72b4d

Observation a9a78ffa-66d4-4a52-a818-c0e95a5e8a81 · 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 Interpreting Transformers for Jet Tagging

Reference 44

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source=pdf_text observed=2026-05-07T15:56:37.996198Z digest=sha256:8dd46e13c5e386c3ae19de6aeb981319c53036a4089fc03ab44a55249700ae70

Observation f0a0854c-0309-4c6e-87fe-a9ab5f84eaa6 · inbound

Dissecting Jet-Tagger Through Mechanistic Interpretability cites this paper.

Dissecting Jet-Tagger Through Mechanistic Interpretability Interpreting Transformers for Jet Tagging

Reference 34

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Observation 00ca147d-3035-4282-8d90-60378c6d3a0d · inbound

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

What Do Lorentz-Equivariant Jet Taggers Learn? Interpreting Transformers for Jet Tagging

Reference 26

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arxiv_id, observed 2026-07-04T06:49:37.411551Z

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