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Paper Citation Record · LEDGER

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.22691.

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

pith.paper-citation-record.v1
2506.22691 v1

Coverage vector

measured 29 of 29 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T22:07:27.654195Z

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 9cc893bf-687b-4024-abf6-e31d95eab9b8 · outbound

This paper cites Heavy Ion Collisions: The Big Picture, and the Big Questions.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Heavy Ion Collisions: The Big Picture, and the Big Questions

Reference 1

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Observation 7f49c582-d9ce-47a4-85b2-308f9decfe6b · outbound

This paper cites (Particle Data Group) 2024 Phys.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions (Particle Data Group) 2024 Phys

Reference 2

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Observation e0582e61-04e9-4081-85ea-445aa350aaff · outbound

This paper cites Open Heavy-Flavor Production in Heavy-Ion Collisions.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Open Heavy-Flavor Production in Heavy-Ion Collisions

Reference 3

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Observation 4c290a00-ceef-4753-9803-d13fbb55920f · outbound

This paper cites Heavy quark colorimetry of QCD matter.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Heavy quark colorimetry of QCD matter

Reference 4

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Observation d7804c14-808c-416e-ae22-4daf1d49e3f8 · outbound

This paper cites Direct observation of the dead-cone effect in QCD.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Direct observation of the dead-cone effect in QCD

Reference 5

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This paper cites DREENA-B framework: first predictions of $R_{AA}$ and $v_2$ within dynamical energy loss formalism in evolving QCD medium.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions DREENA-B framework: first predictions of $R_{AA}$ and $v_2$ within dynamical energy loss formalism in evolving QCD medium

Reference 6

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Observation 7ab9816e-538e-4d56-9246-bb655be8a0ef · outbound

This paper cites Elastic, Inelastic, and Path Length Fluctuations in Jet Tomography.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Elastic, Inelastic, and Path Length Fluctuations in Jet Tomography

Reference 7

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Observation 1de87496-bacb-432b-b6e6-bf5d993c660a · outbound

This paper cites A linearized Boltzmann--Langevin model for heavy quark transport in hot and dense QCD matter.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions A linearized Boltzmann--Langevin model for heavy quark transport in hot and dense QCD matter

Reference 8

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This paper cites Measurement of the nuclear modification factor of $b$-jets in 5.02 TeV Pb+Pb collisions with the ATLAS detector.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Measurement of the nuclear modification factor of $b$-jets in 5.02 TeV Pb+Pb collisions with the ATLAS detector

Reference 9

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

Reference 10

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

Reference 11

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

Reference 12

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This paper cites Identification of b-quark jets with the CMS experiment.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Identification of b-quark jets with the CMS experiment

Reference 13

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

Reference 14

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Observation c65fc90f-9f0e-41f5-a67e-9af97ea0f618 · outbound

This paper cites Performance of $b$-Jet Identification in the ATLAS Experiment.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Performance of $b$-Jet Identification in the ATLAS Experiment

Reference 15

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Observation 994f43b5-d1a9-482c-8d0c-0e475853fa00 · outbound

This paper cites Measurement of inclusive charged-particle b-jet production in pp and p-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Measurement of inclusive charged-particle b-jet production in pp and p-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV

Reference 16

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

Reference 17

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This paper cites How Attentive are Graph Attention Networks?.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions How Attentive are Graph Attention Networks?

Reference 18

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This paper cites Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC

Reference 19

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This paper cites ATLAS flavour-tagging algorithms for the LHC Run 2 $pp$ collision dataset.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions ATLAS flavour-tagging algorithms for the LHC Run 2 $pp$ collision dataset

Reference 20

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This paper cites A comprehensive guide to the physics and usage of PYTHIA 8.3.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions A comprehensive guide to the physics and usage of PYTHIA 8.3

Reference 21

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions DELPHES 3, A modular framework for fast simulation of a generic collider experiment

Reference 22

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions (GEANT4) 2003 Nucl

Reference 23

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions FastJet user manual

Reference 24

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

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This paper cites A Multi-Phase Transport Model for Relativistic Heavy Ion Collisions.

Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions A Multi-Phase Transport Model for Relativistic Heavy Ion Collisions

Reference 26

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Centrality determination of Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76 TeV with ALICE

Reference 27

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 28

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Investigation of the performance of a GNN-based b-jet tagging method in heavy-ion collisions Unresolved cited work

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