Paper Citation Record · LEDGER

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2501.03432.

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

pith.paper-citation-record.v1
2501.03432 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:24.838480Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 368984b9-b249-430c-82b5-b39c854bbc62 · outbound

This paper cites The atlas experiment at the cern large hadron collider.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection The atlas experiment at the cern large hadron collider

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:25.582454Z

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Observation 9436ca10-4f9e-4ef6-8110-11fc2d2314a9 · outbound

This paper cites an unresolved cited work.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:56:25.570058Z

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Observation 2b776b3e-9082-407c-90b3-290e7eef2920 · outbound

This paper cites Software performance of the atlas track reconstruction for lhc run 3.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Software performance of the atlas track reconstruction for lhc run 3

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T21:56:25.248334Z

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Observation 96ab31a7-e5fb-4b09-b372-c0f753de28a9 · outbound

This paper cites Guest, K.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Guest, K

Reference 4

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Observation 542c6581-31e4-4add-b7b9-3717105da93a · outbound

This paper cites The LHCb Detector at the LHC.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection The LHCb Detector at the LHC

Reference 5

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Observation ece14c3c-c90d-4d1b-9897-57d37642b56d · outbound

This paper cites Staszewski and J.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Staszewski and J

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T21:56:25.226084Z

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Observation 10777ae0-e84e-4194-98f0-14c0f4578f79 · outbound

This paper cites Crochet and P.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Crochet and P

Reference 7

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Observation 7b129644-a98b-4643-b52d-6ab01dcb7b70 · outbound

This paper cites Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges

Reference 8

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 9

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Observation 30b0f1ea-ef57-47bd-811f-4c3922dfc0a9 · outbound

This paper cites Parameterized Explainer for Graph Neural Network.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Parameterized Explainer for Graph Neural Network

Reference 10

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Observation dccad4ca-5b87-42c7-b09b-3efa3e7457ff · outbound

This paper cites GNNExplainer: Generating Explanations for Graph Neural Networks.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection GNNExplainer: Generating Explanations for Graph Neural Networks

Reference 11

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Observation 7022f36b-8602-49dc-be49-eddcb5932eb9 · outbound

This paper cites Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:56:25.173157Z

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Observation ea8c76dc-3c28-410f-88af-233244ef2724 · outbound

This paper cites Ghorbani, A.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Ghorbani, A

Reference 13

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Observation b8f87fb9-8a1b-494b-9c7c-3806e67ef1ac · outbound

This paper cites Adebayo, J.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Adebayo, J

Reference 14

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Observation 7fa738f4-f982-4dc6-9d0a-7df0ea2fcd27 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection A Generalization of Transformer Networks to Graphs

Reference 15

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Observation c1a6b444-05a4-4277-8c28-78147e37b116 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 16

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Observation fef64b7f-b217-47d2-a233-c0a093915b94 · outbound

This paper cites Search for direct production of electroweakinos in final states with one lepton, jets and missing transverse momentum in pp collisions at √s = 13 tev with the atlas detector.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Search for direct production of electroweakinos in final states with one lepton, jets and missing transverse momentum in pp collisions at √s = 13 tev with the atlas detector

Reference 17

Resolution: verified exact; doi, observed 2026-08-10T21:56:25.112925Z

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Observation c28227d9-5831-4858-b8d9-52e562840f52 · outbound

This paper cites Shlomi, P.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Shlomi, P

Reference 18

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Observation 245cf08d-1a38-40ae-84df-7b56d2df2a02 · outbound

This paper cites Duarte and J.-R.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Duarte and J.-R

Reference 19

Resolution: verified exact; doi, observed 2026-08-10T21:56:25.093042Z

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Observation 394347fd-ba0c-40f5-9710-459ceec0ad53 · outbound

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

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 20

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection DeZoort, P

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T21:56:25.069965Z

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This paper cites Attention Is All You Need.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Attention Is All You Need

Reference 22

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Observation c0bbeeec-43bb-466b-a0cb-90f46ae38736 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 24

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Observation cd299dc8-cab2-468d-8a2e-89aa8c45ba44 · outbound

This paper cites On the Relationship between Self-Attention and Convolutional Layers.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection On the Relationship between Self-Attention and Convolutional Layers

Reference 25

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Observation 247897ee-70fc-43a0-ac79-f2d33afb0bc1 · outbound

This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Learning Factored Representations in a Deep Mixture of Experts

Reference 26

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This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 27

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This paper cites Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Reference 28

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Chen and C

Reference 29

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This paper cites A Unified Approach to Interpreting Model Predictions.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection A Unified Approach to Interpreting Model Predictions

Reference 30

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Pezoa, L

Reference 31

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Observation adff3ae7-ee7e-4523-a782-9129ad75d93a · outbound

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Lapuschkin, A

Reference 32

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This paper cites Explainable ai for ml jet taggers using expert variables and layerwise relevance propagation.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Explainable ai for ml jet taggers using expert variables and layerwise relevance propagation

Reference 33

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This paper cites Explaining machine-learned particle-flow reconstruction.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Explaining machine-learned particle-flow reconstruction

Reference 34

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This paper cites Estimating Training Data Influence by Tracing Gradient Descent.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Estimating Training Data Influence by Tracing Gradient Descent

Reference 35

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This paper cites Do Feature Attribution Methods Correctly Attribute Features?.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Do Feature Attribution Methods Correctly Attribute Features?

Reference 36

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Observation 65a235bf-d5ca-463a-b2de-062fe2444a14 · outbound

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 37

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This paper cites On the Equivalence between Positional Node Embeddings and Structural Graph Representations.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection On the Equivalence between Positional Node Embeddings and Structural Graph Representations

Reference 38

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 2008

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 2011

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Observation a754716e-b4f5-4b48-91a9-0472fb14a820 · outbound

This paper cites Sanity Checks for Saliency Maps.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Sanity Checks for Saliency Maps

Reference 2018

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Observation 133697da-a642-4767-8928-293cdd69c401 · outbound

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Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Unresolved cited work

Reference 2019

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This paper cites Sign and Basis Invariant Networks for Spectral Graph Representation Learning.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 2023

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