Paper Citation Record · LEDGER

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.23723.

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

pith.paper-citation-record.v1
2507.23723 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:32:17.114870Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

Observation a5d65da4-b5c8-4b2c-91bf-d352fe38304d · outbound

This paper cites Figure 2 illustrates this graph representation, where nodes are categorized into jet nodes (blue) and b-jet nodes (orange), with edges 6 FIG.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Figure 2 illustrates this graph representation, where nodes are categorized into jet nodes (blue) and b-jet nodes (orange), with edges 6 FIG

Reference 1

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This paper cites an unresolved cited work.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:17.906147Z

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This paper cites an unresolved cited work.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:17.891026Z

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Observation 22f9c813-5a1e-4e58-91b0-5e927a5a2fa1 · outbound

This paper cites Combination of measurements of the top quark mass from data collected by the ATLAS and CMS experiments at $\sqrt{s}$ = 7 and 8 TeV.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Combination of measurements of the top quark mass from data collected by the ATLAS and CMS experiments at $\sqrt{s}$ = 7 and 8 TeV

Reference 4

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Observation 1c5be6b2-0342-439d-9245-d19b2fc698b1 · outbound

This paper cites Saiel, Feasibility study of four top quarks in asso- ciation with Gauge Boson at CMS , Master’s thesis, Quaid-I-Azam university (2024).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Saiel, Feasibility study of four top quarks in asso- ciation with Gauge Boson at CMS , Master’s thesis, Quaid-I-Azam university (2024)

Reference 5

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Observation c332dd65-5013-4d29-bbdc-601e0e651d06 · outbound

This paper cites Abachi et al.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Abachi et al

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:32:17.546866Z

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Observation 9cafc389-b1d0-4c20-9573-443ede8c0482 · outbound

This paper cites Observation of Top Quark Production in Pbar-P Collisions.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Observation of Top Quark Production in Pbar-P Collisions

Reference 7

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Observation 5c2f932e-2dc8-40fb-84d9-a87385630d80 · outbound

This paper cites Tumasyan, et al., CMS Collaboration, Observa- tion of four top quark production in proton-proton collisions at √s = 13 TeV, Phys.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Tumasyan, et al., CMS Collaboration, Observa- tion of four top quark production in proton-proton collisions at √s = 13 TeV, Phys

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.845865Z

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Observation 53164e71-dde6-43ce-bb05-d17b94c58f36 · outbound

This paper cites First Observation of Electroweak Single Top Quark Production.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC First Observation of Electroweak Single Top Quark Production

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:32:17.413528Z

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Observation 97e174da-a8cf-4ddc-bdf7-1183a0ad1fcf · outbound

This paper cites Observation of Single Top-Quark Production.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Observation of Single Top-Quark Production

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:32:17.389253Z

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Observation bd4e2882-7cf2-49fa-b61e-539a05db8623 · outbound

This paper cites Threshold resummation for the production of four top quarks at the LHC.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Threshold resummation for the production of four top quarks at the LHC

Reference 11

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Observation 220b3702-cc9e-4807-ba0b-6d2858967432 · outbound

This paper cites Brivio and M.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Brivio and M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.780019Z

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Observation b53c15ef-ab14-4414-a328-0cf1c3bfbad3 · outbound

This paper cites Tumasyan, et al., CMS Collaboration, Evidence for four-top quark production in proton-proton col- lisions at √s = 13 TeV, Phys.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Tumasyan, et al., CMS Collaboration, Evidence for four-top quark production in proton-proton col- lisions at √s = 13 TeV, Phys

Reference 13

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Observation e1af44ec-608a-479d-a46d-dd15f5e6bc39 · outbound

This paper cites Leonardo, Search and measurement of the b → µµ rare processes with lhc run i data, Nuclear and Particle Physics Proceedings , 1308 (2016).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Leonardo, Search and measurement of the b → µµ rare processes with lhc run i data, Nuclear and Particle Physics Proceedings , 1308 (2016)

Reference 14

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Observation fb33122f-2d34-4b08-9401-a89727a889d0 · outbound

This paper cites Zhang, Constraining qqtt operators from four- top production: a case for enhanced EFT sensitivity, Chinese Physics C 42, 023104 (2018).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Zhang, Constraining qqtt operators from four- top production: a case for enhanced EFT sensitivity, Chinese Physics C 42, 023104 (2018)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.796574Z

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Observation 7776f091-9dc4-445c-9b98-1729b673b7a1 · outbound

This paper cites Extracting more from boosted decision trees: A high energy physics case study.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Extracting more from boosted decision trees: A high energy physics case study

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:32:17.328680Z

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Observation 5b167dc9-c0f3-44c4-a326-fba5c0446404 · outbound

This paper cites Grzadkowski, M.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Grzadkowski, M

Reference 17

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Observation 5584262c-df45-416e-9a31-67846e8c14c8 · outbound

This paper cites an unresolved cited work.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:17.764146Z

Source-reported events for the cited work

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Observation 8eb1c46b-9f29-4701-98aa-ce2db846c2a6 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC XGBoost: A Scalable Tree Boosting System

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:17.010485Z

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Observation 6477bd2a-e316-4aeb-bdcf-e252c8f65a05 · outbound

This paper cites Builtjes, S.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Builtjes, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.713197Z

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Observation b3b755f8-8254-4e01-b2be-b30d4bd92aa8 · outbound

This paper cites Attention Is All You Need.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Attention Is All You Need

Reference 21

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Observation 14353b0d-9a8a-47a8-ada9-fff3fb611178 · outbound

This paper cites Fukushima, Neocognitron: A self-organizing neu- ral network model for a mechanism of pattern recog- nition unaffected by shift in position, Biological Cy- bernetics 36, 193 (1980).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Fukushima, Neocognitron: A self-organizing neu- ral network model for a mechanism of pattern recog- nition unaffected by shift in position, Biological Cy- bernetics 36, 193 (1980)

Reference 22

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Observation 86e2276b-2fdf-46c8-a904-f25e4eeec825 · outbound

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Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:17.728616Z

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Observation 31c121ae-356a-4e7f-86d3-a6d6dcf6401e · outbound

This paper cites Kaltsas, Constrained hamiltonian systems and physics informed neural networks: Hamilton-dirac neural nets, Semantic Scholar (2024).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Kaltsas, Constrained hamiltonian systems and physics informed neural networks: Hamilton-dirac neural nets, Semantic Scholar (2024)

Reference 24

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Observation 8125df4d-9da5-4a1b-b8b3-d6e8f673c11f · outbound

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Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Zhang, S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.696770Z

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Observation 24706d4e-b793-4049-a7fe-46a5bedffe58 · outbound

This paper cites Raissi, P.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Raissi, P

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.680214Z

Source-reported events for the cited work

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Observation 69f0b579-d1c2-452a-a256-316546312265 · outbound

This paper cites Farea, O.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Farea, O

Reference 27

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Observation 05c70a58-0ea0-4d62-a0dd-183f2a07e6d2 · outbound

This paper cites Alwall, R.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Alwall, R

Reference 28

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Observation fa44a4b1-ba7d-4253-ac73-250c4d906614 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Strategies for Pre-training Graph Neural Networks

Reference 29

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Observation 3490558d-a3a7-49b8-b781-60c7ee27601a · outbound

This paper cites How Powerful are Graph Neural Networks?.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC How Powerful are Graph Neural Networks?

Reference 30

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Observation 8803f7df-d327-4986-a591-54ec99fec376 · outbound

This paper cites Schuld and N.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Schuld and N

Reference 31

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This paper cites Delphes, a framework for fast simulation of a generic collider experiment.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Delphes, a framework for fast simulation of a generic collider experiment

Reference 32

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Observation ec112f0a-e892-4777-b728-02f872bb1927 · outbound

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Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 33

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This paper cites an unresolved cited work.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 34

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Observation 596aa1bb-4b1e-42ba-a2c0-182231cc678f · outbound

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

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC A comprehensive guide to the physics and usage of PYTHIA 8.3

Reference 35

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Observation 8213fecc-879c-4cc0-b310-f273ba27cf77 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 36

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Observation 69a5884f-ae1f-45d2-adfa-6d972dd9c6cc · outbound

This paper cites Brun and F.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Brun and F

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.583055Z

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Observation ebe22a37-ae1e-46b6-bfb7-7f197b908070 · outbound

This paper cites Pedregosa, G.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Pedregosa, G

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:17.564188Z

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Observation 00d1e649-0a4f-4081-a209-2d017e298d06 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 39

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Observation 2d4935df-76aa-4548-a124-4e5df3b2a603 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Adam: A Method for Stochastic Optimization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:17.114870Z

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Observation a47b175d-d63b-4255-958a-eab02aa627e4 · outbound

This paper cites an unresolved cited work.

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC Unresolved cited work

Reference 807

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:17.876048Z

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Pith citing papers

No inbound Pith citation observations are available.