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Paper Citation Record · LEDGER

Lie-Equivariant Quantum Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2411.15315.

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

pith.paper-citation-record.v1
2411.15315 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:29:56.311200Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy7
  • unresolved31
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29c76830-cfb2-43e7-9f3c-d0fab6031837 · outbound

This paper cites The HL-LHC Project, 2022.

Lie-Equivariant Quantum Graph Neural Networks The HL-LHC Project, 2022

Reference 1

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Observation 3995e149-82a4-4e82-965e-412bd50fee45 · outbound

This paper cites Challenges in Monte Carlo Event Generator Software for High- Luminosity LHC.

Lie-Equivariant Quantum Graph Neural Networks Challenges in Monte Carlo Event Generator Software for High- Luminosity LHC

Reference 2

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Observation c0e30664-3671-480e-b8d5-4ce0d8f294c1 · outbound

This paper cites A Survey of Quantum Learning Theory.

Lie-Equivariant Quantum Graph Neural Networks A Survey of Quantum Learning Theory

Reference 3

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Observation 849281e2-e94a-4741-b865-5af199ec7224 · outbound

This paper cites Quantum machine learning.

Lie-Equivariant Quantum Graph Neural Networks Quantum machine learning

Reference 4

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Observation 1d0f28e2-812c-4640-bbfb-6c9c35ced50e · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Lie-Equivariant Quantum Graph Neural Networks Quantum machine learning in feature hilbert spaces

Reference 5

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Observation 7bbd7877-7103-422e-876d-9b1c31a09ed6 · outbound

This paper cites Mangini, F.

Lie-Equivariant Quantum Graph Neural Networks Mangini, F

Reference 6

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Observation 203e3206-f64a-4955-85c4-c04a5e23f962 · outbound

This paper cites A rigorous and robust quan- tum speed-up in supervised machine learning.

Lie-Equivariant Quantum Graph Neural Networks A rigorous and robust quan- tum speed-up in supervised machine learning

Reference 7

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Observation cc956a68-21bb-4fe1-96fa-2dcc4215eac1 · outbound

This paper cites an unresolved cited work.

Lie-Equivariant Quantum Graph Neural Networks Unresolved cited work

Reference 8

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Observation 7d610724-707c-4173-9df5-9a2df30985f9 · outbound

This paper cites Caro, Hsin-Yuan Huang, M.

Lie-Equivariant Quantum Graph Neural Networks Caro, Hsin-Yuan Huang, M

Reference 9

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Observation c26cdd68-7fec-4453-84d0-d0edd75dd415 · outbound

This paper cites an unresolved cited work.

Lie-Equivariant Quantum Graph Neural Networks Unresolved cited work

Reference 10

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Observation 87122b0f-3c9c-4736-9ebd-93313a4d118b · outbound

This paper cites Perceptron: an introduction to computational geometry.

Lie-Equivariant Quantum Graph Neural Networks Perceptron: an introduction to computational geometry

Reference 11

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Observation 4a8e18c8-3eb2-4d9a-ae53-2ce07bb7ef4d · outbound

This paper cites Bronstein, Joan Bruna, Taco Cohen, and Petar Veliˇckovi´c.

Lie-Equivariant Quantum Graph Neural Networks Bronstein, Joan Bruna, Taco Cohen, and Petar Veliˇckovi´c

Reference 12

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Observation 64733559-d735-4847-8cbf-a0b104135d81 · outbound

This paper cites Forestano, Konstantin T.

Lie-Equivariant Quantum Graph Neural Networks Forestano, Konstantin T

Reference 13

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Observation 6b035757-dcf7-4864-8868-4b40a13635e3 · outbound

This paper cites Forestano, Konstantin T.

Lie-Equivariant Quantum Graph Neural Networks Forestano, Konstantin T

Reference 14

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Observation 6d37ec4d-4eb4-4695-aeea-c720c0e02ab8 · outbound

This paper cites Forestano, Konstantin T.

Lie-Equivariant Quantum Graph Neural Networks Forestano, Konstantin T

Reference 15

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Observation 619d6445-0739-4791-8a1a-55b8dfb2a27e · outbound

This paper cites Forestano, Konstantin T.

Lie-Equivariant Quantum Graph Neural Networks Forestano, Konstantin T

Reference 16

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Observation bee3e9f6-1e5f-42a5-b008-4485885a547e · outbound

This paper cites Forestano, Konstantin T.

Lie-Equivariant Quantum Graph Neural Networks Forestano, Konstantin T

Reference 17

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Observation 955c8fdc-be7e-4903-bdb0-66f1acfad05f · outbound

This paper cites Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.

Lie-Equivariant Quantum Graph Neural Networks Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Reference 18

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doi, observed 2026-08-12T14:29:56.511536Z

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Observation 7d670855-d7c7-45e1-b42c-378f8b3fd4be · outbound

This paper cites Forestano et al.

Lie-Equivariant Quantum Graph Neural Networks Forestano et al

Reference 19

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Observation c63bdaff-4adf-4da6-aa8d-625efa8228f8 · outbound

This paper cites Unlu et al.

Lie-Equivariant Quantum Graph Neural Networks Unlu et al

Reference 20

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Observation 18044677-7745-49e0-a6c5-b6bbf1d75b6a · outbound

This paper cites Quantum Vision Transformers for Quark–Gluon Classification.

Lie-Equivariant Quantum Graph Neural Networks Quantum Vision Transformers for Quark–Gluon Classification

Reference 21

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Observation 01718a8b-6e8b-4ff5-9cf8-82446687512c · outbound

This paper cites Quantum Attention for Vision Transformers in High Energy Physics.

Lie-Equivariant Quantum Graph Neural Networks Quantum Attention for Vision Transformers in High Energy Physics

Reference 22

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Observation 1fb66956-82fc-4392-9609-c7ff0fce9c0c · outbound

This paper cites Everything is connected: Graph neural networks.

Lie-Equivariant Quantum Graph Neural Networks Everything is connected: Graph neural networks

Reference 23

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Observation 86bb3510-82fa-4560-b40a-7762eaeeb2f1 · outbound

This paper cites Graph neural networks in particle physics.

Lie-Equivariant Quantum Graph Neural Networks Graph neural networks in particle physics

Reference 24

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Observation 57c7c2c4-444a-48bd-a0e8-b8d3c334a74c · outbound

This paper cites An efficient lorentz equivariant graph neural network for jet tagging.

Lie-Equivariant Quantum Graph Neural Networks An efficient lorentz equivariant graph neural network for jet tagging

Reference 25

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Observation 30a6645f-3ec2-4558-addc-7a007a9c8b5b · outbound

This paper cites Larkoski, Ian Moult, and Benjamin Nachman.

Lie-Equivariant Quantum Graph Neural Networks Larkoski, Ian Moult, and Benjamin Nachman

Reference 26

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Observation e16ad5ae-494b-4838-b728-0ae03402fe3d · outbound

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

Lie-Equivariant Quantum Graph Neural Networks Jet Substructure at the Large Hadron Collider: Experimental Review

Reference 27

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Observation d30839d1-c011-4571-bd83-930430ea2d8e · outbound

This paper cites Springer, 2019.

Lie-Equivariant Quantum Graph Neural Networks Springer, 2019

Reference 28

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Observation 3cf97b6c-444f-4b84-940c-1079ca753e79 · outbound

This paper cites Doherty, Angus Mingare, Jason C.

Lie-Equivariant Quantum Graph Neural Networks Doherty, Angus Mingare, Jason C

Reference 29

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Observation 913845f6-435b-4902-a638-dd7497ff927d · outbound

This paper cites Group theory: A physicist’s survey.

Lie-Equivariant Quantum Graph Neural Networks Group theory: A physicist’s survey

Reference 30

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Observation f20b932a-74ac-4c75-a8a5-a42850097f6f · outbound

This paper cites Lie Algebras In Particle Physics : from Isospin To Unified Theories.

Lie-Equivariant Quantum Graph Neural Networks Lie Algebras In Particle Physics : from Isospin To Unified Theories

Reference 31

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Observation 423f585e-599f-40b9-835c-91633ba593c2 · outbound

This paper cites What is an equivariant neural network?.

Lie-Equivariant Quantum Graph Neural Networks What is an equivariant neural network?

Reference 32

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Observation 5990e52a-cc53-4f60-9888-26a80fd788f1 · outbound

This paper cites Ecker, Fabian H.

Lie-Equivariant Quantum Graph Neural Networks Ecker, Fabian H

Reference 33

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Observation 5e9b2002-31a4-41df-ac4a-744e6444327a · outbound

This paper cites Invariant and equivariant graph networks.

Lie-Equivariant Quantum Graph Neural Networks Invariant and equivariant graph networks

Reference 34

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Observation 67bcc78b-e3fb-483b-a554-c4a20f2c401a · outbound

This paper cites E(n) Equivariant Graph Neural Networks.

Lie-Equivariant Quantum Graph Neural Networks E(n) Equivariant Graph Neural Networks

Reference 35

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Observation 406ffaac-a903-424f-a01d-b55f825a00a1 · outbound

This paper cites Komiske, Eric M.

Lie-Equivariant Quantum Graph Neural Networks Komiske, Eric M

Reference 36

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Observation 762e02e9-2768-43bf-b071-255362ab58da · outbound

This paper cites Particle Cloud Generation with Message Passing Generative Adversarial Networks.

Lie-Equivariant Quantum Graph Neural Networks Particle Cloud Generation with Message Passing Generative Adversarial Networks

Reference 37

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Observation 2ca7ce02-a481-4abe-a414-7cb7944626bf · outbound

This paper cites Quantum graph neural networks, 2019.

Lie-Equivariant Quantum Graph Neural Networks Quantum graph neural networks, 2019

Reference 38

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Observation 790e66a1-5164-498f-b2f3-a82d11f8f92f · outbound

This paper cites Finding Exponential Product Formulas of Higher Orders, page 37–68.

Lie-Equivariant Quantum Graph Neural Networks Finding Exponential Product Formulas of Higher Orders, page 37–68

Reference 39

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Observation 437e0c45-77e1-4b82-909f-b20f6f3670f3 · outbound

This paper cites Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J.

Lie-Equivariant Quantum Graph Neural Networks Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J

Reference 40

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Observation ba2a234d-d232-45cf-b9ff-530d5fb4b3eb · outbound

This paper cites Scalars are universal: Equivariant machine learning, structured like classical physics.

Lie-Equivariant Quantum Graph Neural Networks Scalars are universal: Equivariant machine learning, structured like classical physics

Reference 41

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source=pdf_text observed=2026-08-12T14:29:56.292078Z digest=sha256:f8903911a7e926e372e0368c0ef1130450c1a13dd66ef04e83ce1aabce50d5cf

Observation 7a2a8008-4264-4fdf-928c-c5da290d7434 · outbound

This paper cites Machine learning and invariant theory.

Lie-Equivariant Quantum Graph Neural Networks Machine learning and invariant theory

Reference 42

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source=pdf_text observed=2026-08-12T14:29:56.296770Z digest=sha256:f0c29a1b505f56fce5f605b7405ddf8aa93f10ed9bd6baff87f5326338e17649

Observation 6fd0be12-858c-470c-a9fc-d5e374118825 · outbound

This paper cites Decoupled Weight Decay Regularization.

Lie-Equivariant Quantum Graph Neural Networks Decoupled Weight Decay Regularization

Reference 43

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source=pdf_text observed=2026-08-12T14:29:56.300788Z digest=sha256:abd095d0e59ac82b843f14201f7f5d20b252b8f2e49ebbecf8d4e02d43e5544b

Observation edfb41f3-d2d1-4100-a2b4-0f96a97515ff · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Lie-Equivariant Quantum Graph Neural Networks SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 44

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source=pdf_text observed=2026-08-12T14:29:56.306528Z digest=sha256:1901690bf407b2f95337b04cb673953c2e8d428b7bfd6691446f89c67b15ac25

Observation 67a81d76-6cea-483a-bb60-05adcabbbcee · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Lie-Equivariant Quantum Graph Neural Networks Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 45

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source=pdf_text observed=2026-08-12T14:29:56.311200Z digest=sha256:e66bf93bde9c6d5271c67f9e5b1b07b53a455cb89a097bd668d0083fff644265

Observation 4fae82e0-42ab-4e04-a8d3-1aa3b142f44a · outbound

This paper cites URL http://dx.doi.org/10.1088/2632-2153/ abbf9a.

Lie-Equivariant Quantum Graph Neural Networks URL http://dx.doi.org/10.1088/2632-2153/ abbf9a

Reference 2153

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source=pdf_text observed=2026-08-12T14:29:56.209324Z digest=sha256:289d7d29daf1e1072a174fe6db67709416796347c433400b746ea917b3dec4ac

Pith citing papers

No inbound Pith citation observations are available.