Paper Citation Record · LEDGER

Surrogate Modeling of Landau Damping with Deep Operator Networks

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.16960.

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

pith.paper-citation-record.v1
2507.16960 v2

Coverage vector

measured 45 of 45 reference resolution

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measured 0 of 0 inbound itemization

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Reference resolution

45 of 45 outbound references displayed

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verified fuzzy2
unresolved17
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External citation measurements

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Outbound references

Observation 579c6199-cdd1-4bd9-bcc0-2c14ac912f9e · outbound

This paper cites P., & Fiuza, F.

Surrogate Modeling of Landau Damping with Deep Operator Networks P., & Fiuza, F

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.611856Z

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Observation c3603029-eef7-4d5b-8a68-42e7a3d7265e · outbound

This paper cites an unresolved cited work.

Surrogate Modeling of Landau Damping with Deep Operator Networks Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.592204Z

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Observation 7f05ee48-aa80-43f4-917e-b8bf7c7e930e · outbound

This paper cites A., & Karniadakis, G.

Surrogate Modeling of Landau Damping with Deep Operator Networks A., & Karniadakis, G

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:59.615890Z

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Observation 9b6ff11c-45b9-49d1-917f-e0b5e92d25a0 · outbound

This paper cites 2023, Computer Physics Communications, 287, 108714, doi: 10.1016/j.cpc.2023.108714.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Computer Physics Communications, 287, 108714, doi: 10.1016/j.cpc.2023.108714

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:59.529972Z

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Observation 3e6a6b70-868c-433f-8412-8d76ba179100 · outbound

This paper cites 2017, Journal of Geophysical Research: Space Physics, 122, 10,318, doi: 10.1002/2017JA024186.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2017, Journal of Geophysical Research: Space Physics, 122, 10,318, doi: 10.1002/2017JA024186

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.903874Z

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Observation 67897e96-74e5-4ab8-82c7-c7cf498d3979 · outbound

This paper cites 2023, Computer Physics Communications, 282, 108538, doi: https://doi.org/10.1016/j.cpc.2022.108538.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Computer Physics Communications, 282, 108538, doi: https://doi.org/10.1016/j.cpc.2022.108538

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:59.387892Z

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Observation 8c7a9896-153b-41b4-a387-675f010d7f4a · outbound

This paper cites an unresolved cited work.

Surrogate Modeling of Landau Damping with Deep Operator Networks Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.914859Z

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Observation bcd24de1-28a2-407b-8542-36c171d76b67 · outbound

This paper cites 2023, Journal of Plasma Physics, 89, 895890105, doi: 10.1017/S0022377823000119.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Journal of Plasma Physics, 89, 895890105, doi: 10.1017/S0022377823000119

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.550263Z

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Observation 04e92726-481d-407c-9aad-9cee0082eb35 · outbound

This paper cites 2019, Geophysical Research Letters, 46, 11,584, doi: 10.1029/2019GL083180.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2019, Geophysical Research Letters, 46, 11,584, doi: 10.1029/2019GL083180

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.534636Z

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Observation 092867e5-30d8-4cce-9a68-396366ef4658 · outbound

This paper cites 2023, Engineering with Computers, 39, 2169–2186, doi: 10.1007/s00366-022-01603-y.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Engineering with Computers, 39, 2169–2186, doi: 10.1007/s00366-022-01603-y

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.518113Z

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Observation e076b265-1854-4241-ae36-5faeeca16501 · outbound

This paper cites W., & Perkins, F.

Surrogate Modeling of Landau Damping with Deep Operator Networks W., & Perkins, F

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.932956Z

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Observation 43cbbd90-84d0-4541-88e9-3e80ec270c9e · outbound

This paper cites 1989, Neural Networks, 2 (5), 359, doi: 10.1016/0893-6080(89)90020-8.

Surrogate Modeling of Landau Damping with Deep Operator Networks 1989, Neural Networks, 2 (5), 359, doi: 10.1016/0893-6080(89)90020-8

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.937419Z

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Observation 8c7fde10-b1fc-466d-b9d4-7f6faed2c38c · outbound

This paper cites 2025, Proceedings of the National Academy of Science, 122, e2419073122, doi: 10.1073/pnas.2419073122.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2025, Proceedings of the National Academy of Science, 122, e2419073122, doi: 10.1073/pnas.2419073122

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.942516Z

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Observation a1fe15ea-ba38-4085-ba64-1ad44ac4141d · outbound

This paper cites 2025, Journal of Plasma Physics, 91, E64, doi: 10.1017/S0022377825000285.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2025, Journal of Plasma Physics, 91, E64, doi: 10.1017/S0022377825000285

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.468303Z

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Observation 5094bbd8-35f6-4229-83e4-beb5c3b2e029 · outbound

This paper cites 2020, Acta Astronautica, 170, 6, doi: 10.1016/j.actaastro.2020.01.030.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Acta Astronautica, 170, 6, doi: 10.1016/j.actaastro.2020.01.030

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.450784Z

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Observation 700baf25-738c-497c-9e07-0546e3abbe4b · outbound

This paper cites S., & Thomas, A.

Surrogate Modeling of Landau Damping with Deep Operator Networks S., & Thomas, A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.957253Z

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Observation 5c73fc2c-2f34-4cc2-859c-d23a710a9efa · outbound

This paper cites 2018, Journal of Computational Physics, 353, 110, doi: 10.1016/j.jcp.2017.10.009.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2018, Journal of Computational Physics, 353, 110, doi: 10.1016/j.jcp.2017.10.009

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.962431Z

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Observation 9f7a22e1-4248-45a3-b802-a7d75e6574f7 · outbound

This paper cites 2023, in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC ’23 (New York, NY, USA: Association for Computing Machinery), doi: 10.1145/3592979.3593412.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC ’23 (New York, NY, USA: Association for Computing Machinery), doi: 10.1145/3592979.3593412

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.966881Z

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Observation d2a02ea6-fba9-4182-8590-d26a24b91667 · outbound

This paper cites 2022, Physics of Plasmas, 29, 032706, doi: 10.1063/5.0066397.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2022, Physics of Plasmas, 29, 032706, doi: 10.1063/5.0066397

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.411368Z

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Observation 5d24cac2-84bc-4240-bfce-6c23fb518104 · outbound

This paper cites 2023, AIP Advances, 13, 015126, doi: 10.1063/5.0122087.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, AIP Advances, 13, 015126, doi: 10.1063/5.0122087

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.394407Z

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Observation 712823f3-46a8-4001-9731-e31487c8f52e · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Surrogate Modeling of Landau Damping with Deep Operator Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.980819Z

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Observation e3422058-4ef5-4613-8478-2155600d8b23 · outbound

This paper cites 2021, Nature Machine Intelligence, 3, 218, doi: 10.1038/s42256-021-00302-5.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2021, Nature Machine Intelligence, 3, 218, doi: 10.1038/s42256-021-00302-5

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.985374Z

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Observation de988f2c-0313-4223-b4b0-b875131958d9 · outbound

This paper cites 2020, Physics of Plasmas, 27, doi: /10.1063/1.5129158.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Physics of Plasmas, 27, doi: /10.1063/1.5129158

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.989742Z

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Observation 8219bcb5-aa70-4cb3-8daa-405e90603bfa · outbound

This paper cites 2023, The Astrophysical Journal Letters, 950, L12, doi: 10.3847/2041-8213/acd77f.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, The Astrophysical Journal Letters, 950, L12, doi: 10.3847/2041-8213/acd77f

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.994219Z

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Observation 5b5f4969-b18d-46cb-a194-f121c264949f · outbound

This paper cites 2020, Journal of Computational Physics, 401, 109020, doi: 10.1016/j.jcp.2019.109020.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Journal of Computational Physics, 401, 109020, doi: 10.1016/j.jcp.2019.109020

Reference 25

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:59.180391Z

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Observation 3a6f5012-5ba8-4de2-9597-e7a751aed6f1 · outbound

This paper cites 2019, SIAM Journal on Scientific Computing, 41, A2603, doi: 10.1137/18M1229845.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2019, SIAM Journal on Scientific Computing, 41, A2603, doi: 10.1137/18M1229845

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:58.004937Z

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Observation 1ea7b0b5-0dec-4de4-a2f9-ab6f6b92196b · outbound

This paper cites 2020, Engineering with Computers, 36, 789, doi: 10.1007/s00366-020-01186-6.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Engineering with Computers, 36, 789, doi: 10.1007/s00366-020-01186-6

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.313025Z

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Observation a9c02ec2-8266-4ca1-a46a-e2818328f57a · outbound

This paper cites 2019, SeMA Journal, 76, 615, doi: 10.1007/s40324-019-00196-9.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2019, SeMA Journal, 76, 615, doi: 10.1007/s40324-019-00196-9

Reference 28

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.296959Z

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Observation 71005d35-2d91-4c65-814f-93b34fc52d0f · outbound

This paper cites 2023, Physical Review Research, 5, 033079, doi: 10.1103/PhysRevResearch.5.033079.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Physical Review Research, 5, 033079, doi: 10.1103/PhysRevResearch.5.033079

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:58.019809Z

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Observation 0892dbb1-6009-49fa-9977-a95451c85112 · outbound

This paper cites an unresolved cited work.

Surrogate Modeling of Landau Damping with Deep Operator Networks Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:58.024377Z

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Observation 6e4e8c4b-aefe-49e2-bb93-fa5be5d51589 · outbound

This paper cites 2023, Solving Ordinary Differential Equations by LS-SVM, ed.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, Solving Ordinary Differential Equations by LS-SVM, ed

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:59.651428Z

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Observation 345e6776-cc4c-4291-9609-554a9de93e2a · outbound

This paper cites Parand, & S.

Surrogate Modeling of Landau Damping with Deep Operator Networks Parand, & S

Reference 32

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.257437Z

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Observation ce22b1ec-1617-401f-adfe-40e2a797ebd3 · outbound

This paper cites 2021, in AGU Fall Meeting Abstracts, Vol.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2021, in AGU Fall Meeting Abstracts, Vol

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:59.633544Z

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Observation 22989b7b-16f1-428d-8ae3-aa2ab340a894 · outbound

This paper cites 2024, International Journal of Heat and Mass Transfer, 219, 124813, doi: 10.1016/j.ijheatmasstransfer.2023.124813.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2024, International Journal of Heat and Mass Transfer, 219, 124813, doi: 10.1016/j.ijheatmasstransfer.2023.124813

Reference 34

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Observation 397fa9f0-9da0-45e4-b760-99b3237fbd03 · outbound

This paper cites 2020, Numerical Methods for Partial Differential Equations, 36, 654, doi: 10.1002/num.22447.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Numerical Methods for Partial Differential Equations, 36, 654, doi: 10.1002/num.22447

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.240816Z

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Observation e8b18b2b-9f86-4375-939b-430e9bf23cd3 · outbound

This paper cites PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations.

Surrogate Modeling of Landau Damping with Deep Operator Networks PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:03:58.996202Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab018648-d2d8-4266-9a3b-9a1ec982481e · outbound

This paper cites 2024, Communications in Computational Physics, 35, 1–37, doi: 10.4208/cicp.oa-2023-0121.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2024, Communications in Computational Physics, 35, 1–37, doi: 10.4208/cicp.oa-2023-0121

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.223147Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75498b59-3abc-4094-9125-04e48c0f4239 · outbound

This paper cites H., et al.

Surrogate Modeling of Landau Damping with Deep Operator Networks H., et al

Reference 38

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:58.973625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aef633ae-f156-41b7-8d0b-944ab2326523 · outbound

This paper cites 2018, Journal of Geophysical Research (Space Physics), 123, 2815, doi: 10.1002/2017JA024761.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2018, Journal of Geophysical Research (Space Physics), 123, 2815, doi: 10.1002/2017JA024761

Reference 39

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.204833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2aea228b-aae9-4a80-9099-96ef10433145 · outbound

This paper cites 2015, Physics of Plasmas, 22, 012108, doi: 10.1063/1.4906063.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2015, Physics of Plasmas, 22, 012108, doi: 10.1063/1.4906063

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:58.069164Z

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Observation bf7538fc-e40a-4c8d-b85b-db7d3c147a4a · outbound

This paper cites 2020, Journal of Computational Physics, 415, 109510, doi: 10.1016/j.jcp.2020.109510.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Journal of Computational Physics, 415, 109510, doi: 10.1016/j.jcp.2020.109510

Reference 41

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:58.880446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0672856-10ac-4782-8655-f355a237296b · outbound

This paper cites 2022, Journal of Geophysical Research: Space Physics, 127, e2021JA030091, doi: 10.1029/2021JA030091.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2022, Journal of Geophysical Research: Space Physics, 127, e2021JA030091, doi: 10.1029/2021JA030091

Reference 42

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.175032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59989fa3-e58b-48c5-91b9-f3dfff981d24 · outbound

This paper cites 2023, in 2023 International Applied Computational Electromagnetics Society Symposium (ACES-China), IEEE, 01–03, doi: 10.23919/ACES-China60289.2023.10249492.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2023, in 2023 International Applied Computational Electromagnetics Society Symposium (ACES-China), IEEE, 01–03, doi: 10.23919/ACES-China60289.2023.10249492

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:03:58.783487Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d630aa6-7109-4356-ae27-d91b28a03d7c · outbound

This paper cites 2020, SIAM Journal on Scientific Computing, 42, A639, doi: 10.1137/19M1260141.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, SIAM Journal on Scientific Computing, 42, A639, doi: 10.1137/19M1260141

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:58.087950Z

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Observation b0bc74d7-7eb3-4055-b69f-65213dd18651 · outbound

This paper cites 2020, Journal of Geophysical Research (Space Physics), 125, e28162, doi: 10.1029/2020JA028162.

Surrogate Modeling of Landau Damping with Deep Operator Networks 2020, Journal of Geophysical Research (Space Physics), 125, e28162, doi: 10.1029/2020JA028162

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T15:03:58.139542Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.