Paper Citation Record · LEDGER

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.06188.

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

pith.paper-citation-record.v1
2506.06188 v1

Coverage vector

measured 29 of 29 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:17.300127Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

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

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation efb31cb4-6516-4270-83f6-2689b45c8e31 · outbound

This paper cites Engineering Ap- plications of Artificial Intelligence 138, 109378.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Engineering Ap- plications of Artificial Intelligence 138, 109378

Reference 6

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Observation a5f02434-4a8c-4201-909a-6ba5e01a4386 · outbound

This paper cites Engineering Ap- plications of Artificial Intelligence 127, 107256.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Engineering Ap- plications of Artificial Intelligence 127, 107256

Reference 9

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Observation ede10036-5257-4512-b671-c18873c07616 · outbound

This paper cites SPE–109162– MS.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations SPE–109162– MS

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T06:04:17.908816Z

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Observation 54aaae7f-3bb4-415e-966e-c21497e221ec · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems 33, 2615–2629.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations IEEE Transactions on Neural Networks and Learning Systems 33, 2615–2629

Reference 15

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Observation 42c6ae4f-04ac-45c4-86bd-4c4ea1e41f20 · outbound

This paper cites Nature Reviews Physics 3, 422–440.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Nature Reviews Physics 3, 422–440

Reference 16

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Observation 62421eff-40dc-4402-8aa1-76c9f758a160 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering 374, 113547.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Computer Methods in Applied Mechanics and Engineering 374, 113547

Reference 17

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Observation c1ebb1e5-0157-4200-8662-1acada52b84e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.312928Z

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Observation 43078347-4af2-4802-9fd9-48c5c7ce3f05 · outbound

This paper cites Applied Soft Computing 158, 111603.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Applied Soft Computing 158, 111603

Reference 19

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Observation f0c4d0fc-9430-43ad-9e23-cfef3b160251 · outbound

This paper cites Journal of Compu- tational Physics 378, 686–707.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Journal of Compu- tational Physics 378, 686–707

Reference 22

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Observation b7b3f21b-d2a2-406b-b809-32c8ddca7f23 · outbound

This paper cites Nature Methods 17, 261–272.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Nature Methods 17, 261–272

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.845073Z

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Observation 88ba5095-d889-48cd-8f46-f15c0dd4c5a8 · outbound

This paper cites SIAM Journal on Scientific Computing 43, A3055–A3081.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations SIAM Journal on Scientific Computing 43, A3055–A3081

Reference 28

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Observation 0065f277-9def-4821-b123-97861d5c4cdf · outbound

This paper cites Engineering Appli- cations of Artificial Intelligence 122, 106073.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Engineering Appli- cations of Artificial Intelligence 122, 106073

Reference 29

Resolution: malformed identifier; no resolver link, observed 2026-08-07T06:04:17.300127Z

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Observation 62a8ebd5-a014-4d69-96b9-069f7e3c05f3 · outbound

This paper cites Faria, R.R., Capron, B.D.O., Secchi, A.R., Souza, M.B.D.,.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Faria, R.R., Capron, B.D.O., Secchi, A.R., Souza, M.B.D.,

Reference 163

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Observation 9a179e9f-1bdd-4205-b62a-05c2e7c30319 · outbound

This paper cites Proceedings of the Royal Society of London.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Proceedings of the Royal Society of London

Reference 1939

Resolution: verified exact; doi, observed 2026-08-07T06:04:18.089593Z

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Observation 76db335c-1646-4102-b5c1-6e0237b3b32f · outbound

This paper cites The Physics of Fluids 8, 2182–2189.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations The Physics of Fluids 8, 2182–2189

Reference 1965

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:15.529793Z

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Observation efb09043-a59a-47f4-b1ea-44e02d73c895 · outbound

This paper cites Journal of Petroleum Technology 20, 83–92.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Journal of Petroleum Technology 20, 83–92

Reference 1968

Resolution: verified exact; doi, observed 2026-08-07T06:04:17.467418Z

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Observation eb15c53b-7167-441f-a182-d20ecae29464 · outbound

This paper cites Journal of the Hydraulics Division 102, 657–664.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Journal of the Hydraulics Division 102, 657–664

Reference 1976

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Observation 0fef51c7-b609-4761-bf61-be16f3d79e9c · outbound

This paper cites SPE Production Engineering 6, 171–180.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations SPE Production Engineering 6, 171–180

Reference 1991

Resolution: verified exact; doi, observed 2026-08-07T06:04:18.286499Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bb5b0ae-c318-464b-bbb3-9ef300a4cbbf · outbound

This paper cites Mathe- matical Programming 106, 25–57.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Mathe- matical Programming 106, 25–57

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:17.022521Z

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Observation 50c85c4a-9b38-46cc-aeea-5beaf4f0cc4d · outbound

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Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Unresolved cited work

Reference 2007

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Observation a0a3dea9-9a66-4d09-b623-9a9194d581cd · outbound

This paper cites V003T37A003.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations V003T37A003

Reference 2014

Resolution: verified exact; doi, observed 2026-08-07T06:04:18.531584Z

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Observation 8457baa1-fe8c-4cd8-a68d-0c7a290d00c0 · outbound

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Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Unresolved cited work

Reference 2016

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Observation b1c3fc70-151e-4b50-8d13-d752cc67399a · outbound

This paper cites Searching for Activation Functions.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Searching for Activation Functions

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.711281Z

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Observation 638aced7-670a-4880-8df1-3e3bc5ca1b4c · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2623–2631doi:10.1145/3292500.3330701.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2623–2631doi:10.1145/3292500.3330701

Reference 2019

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Observation 3a90b3ca-8730-4401-ab86-b02809558c98 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering 360, 112789.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Computer Methods in Applied Mechanics and Engineering 360, 112789

Reference 2020

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Observation 9352e3ac-e77f-4344-a212-858a9c1640db · outbound

This paper cites Journal of Computational Physics 426, 109951.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Journal of Computational Physics 426, 109951

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:15.921985Z

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Observation e18cbd03-43c2-4ff1-82be-25758f987ba1 · outbound

This paper cites Neural Networks 146, 272–289.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Neural Networks 146, 272–289

Reference 2022

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Observation 563c680f-838c-4b1e-849c-bea591314311 · outbound

This paper cites Journal of Computational Physics 473, 111731.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Journal of Computational Physics 473, 111731

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.546575Z

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Observation d8523812-69ed-400f-81cc-29b61b926c54 · outbound

This paper cites Neurocomputing 579, 127419.

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations Neurocomputing 579, 127419

Reference 2024

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Pith citing papers

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