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Paper Citation Record · LEDGER

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations

As of 8 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2608.04778.

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

pith.paper-citation-record.v1
2608.04778 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:19.420787Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

94 of 94 outbound references displayed

  • verified exact2
  • verified fuzzy42
  • unresolved49
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77bf3153-8b9d-401d-afab-fbf631ad4e81 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.215201Z digest=sha256:6df8693a0d3a3d7d0f3ce1b28728c3f86e7445a08b67d351915610fa18faba45

Observation badfc408-0008-4b23-82a8-43f970878ebe · outbound

This paper cites de Avila Belbute-Peres, Y.-f.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations de Avila Belbute-Peres, Y.-f

Reference 2

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Observation faa23af8-0c4c-4f65-8406-23eee2eb2bd6 · outbound

This paper cites Penwarden, S.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Penwarden, S

Reference 3

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source=arxiv_source observed=2026-08-06T16:56:19.220988Z digest=sha256:024e0d066b2a15ffa115786850a38f0e53e7825be77b2c9325621c40d8323eb6

Observation f50fc24e-de3d-496c-9e8b-f72f247dfc9c · outbound

This paper cites 2005 , publisher=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2005 , publisher=

Reference 4

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Observation 912f1087-9a4e-4f52-a466-87c485e96af4 · outbound

This paper cites 2014 , publisher=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2014 , publisher=

Reference 5

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source=arxiv_source observed=2026-08-06T16:56:19.226700Z digest=sha256:754b14829303f69c7ebf37c4eb4ea17cc3a13b3d68bd0fe8a7f9164a55ff6d5c

Observation 0114b9a1-23fd-4b48-8640-02433e53bad4 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=

Reference 7

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Observation b3a1a531-e15f-45fa-adfe-3a6984ab247d · outbound

This paper cites Physics of Fluids , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Physics of Fluids , volume=

Reference 8

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Observation 1832ca7f-a57c-43c1-8a2c-953629b01204 · outbound

This paper cites Machine learning and knowledge extraction , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Machine learning and knowledge extraction , volume=

Reference 10

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Observation cdd673eb-8a07-41ed-98b2-76405838e8d7 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=

Reference 13

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Observation 3c78b77e-d119-4347-ad38-9218e0bad244 · outbound

This paper cites International Journal of Heat and Fluid Flow , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations International Journal of Heat and Fluid Flow , volume=

Reference 14

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Observation df06bffb-b4f9-46c5-bcc3-b930287f512d · outbound

This paper cites Journal of Computational Physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational Physics , volume=

Reference 15

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Observation a2d980ce-3b19-4e21-b10e-6bb5980616ab · outbound

This paper cites Journal of Computational Physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational Physics , volume=

Reference 17

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Observation 28b148c4-785f-49ba-927f-b2ff266bb526 · outbound

This paper cites Nature communications , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Nature communications , volume=

Reference 18

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Observation bb9575ac-6822-454d-aadd-262b0615662a · outbound

This paper cites Neural Networks , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Neural Networks , volume=

Reference 19

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Observation a5b9aa30-5b85-4a7a-b4fd-0a22f5ba5ae8 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations SIAM Journal on Scientific Computing , volume=

Reference 20

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Observation b8f45b44-ec50-493c-a4e5-43bf2e0dde62 · outbound

This paper cites Journal of Computational physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational physics , volume=

Reference 21

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Observation 42aafbc8-7a8a-49fb-baab-728ed90d59ab · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Advances in Neural Information Processing Systems , volume=

Reference 22

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Observation c4d8385a-60b1-4bd8-8f29-c02250ce0024 · outbound

This paper cites 2023 International Joint Conference on Neural Networks (IJCNN) , pages=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2023 International Joint Conference on Neural Networks (IJCNN) , pages=

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.267735Z digest=sha256:b9da7eee0ea1740ffc825cade0305057044dbc24c8d43e921b80516cf3f70c10

Observation e511093c-118e-4d61-8fb7-351fcd6e19fe · outbound

This paper cites Neurocomputing , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Neurocomputing , volume=

Reference 24

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Observation 612cd428-e5e5-42f3-ad81-b6d6dac3e4db · outbound

This paper cites SIAM Review , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations SIAM Review , volume=

Reference 25

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Observation ff905b6e-1512-4f3b-874e-668bc1feccf3 · outbound

This paper cites Journal of Computational Physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational Physics , volume=

Reference 26

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Observation 9c2b9946-f8fc-4ce1-8202-3d16846601a9 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 668e48ce-5184-4d3d-aa40-6a8336f3e430 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , series=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Proceedings of the 41st International Conference on Machine Learning , series=

Reference 28

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b2c3408c-b490-4cb6-887d-9fe70c77fe91 · outbound

This paper cites Energies , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Energies , volume=

Reference 29

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Observation c5f2d657-708d-43f9-a052-682bb164b290 · outbound

This paper cites Combustion and Flame , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Combustion and Flame , volume=

Reference 30

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Observation 4ecd44cd-74f8-4579-a87e-6025b3d80ff0 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b30922dc-016f-4f63-ab89-eba0e13a0953 · outbound

This paper cites Neural Computing and Applications , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Neural Computing and Applications , volume=

Reference 32

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.286770Z digest=sha256:6e8884e20bd9f1e1fd8a56504d77adadd200e5a9d41ec52fc7b0b07aea0da8d2

Observation 8b673550-dd58-45d2-85a2-93ec5dead40e · outbound

This paper cites IEEE Transactions on Energy Conversion , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations IEEE Transactions on Energy Conversion , volume=

Reference 33

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Observation 0858a63a-304c-4127-b1d7-97cb128ec2f0 · outbound

This paper cites Computers & Mathematics with Applications , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computers & Mathematics with Applications , volume=

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9ac554a9-8771-4ec8-905f-ce3b37246bfb · outbound

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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.292006Z digest=sha256:b4ec6b22bee2acf1fdd41598c4c7afd84989bf0ebc8ab3b1ea151b713b9c4f82

Observation ab0ef979-4322-4edb-a980-ed874db031a8 · outbound

This paper cites The symbiosis of deep learning and differential equations , year=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations The symbiosis of deep learning and differential equations , year=

Reference 36

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verified fuzzy
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7abd21c5-23e0-46c4-a2a1-01555a3db712 · outbound

This paper cites Journal of Computational Physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational Physics , volume=

Reference 37

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b9ee16fd-4b7b-44fe-a637-2b7e893ccdf4 · outbound

This paper cites Journal of Computational Physics , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Journal of Computational Physics , volume=

Reference 38

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no resolver link, observed 2026-08-06T16:56:19.299035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.299035Z digest=sha256:640fb2162a78c5ee3f3164584fa921bbb14dcceca5d1dbf278bded1042c8a21e

Observation 374c85c8-4986-423b-a3fb-1d7190000afa · outbound

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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2022 , publisher=

Reference 39

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.300774Z digest=sha256:b817e83c5ac4f810cd1afc59e22a0413a32eae15025a3cd76143700848f07fc9

Observation 36425e24-8477-474a-a6ab-ab638025d96f · outbound

This paper cites Recent advances in optimization and modeling of contemporary problems , pages=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Recent advances in optimization and modeling of contemporary problems , pages=

Reference 40

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81812014-84cc-4f3e-ae5d-e626a7b0b0a8 · outbound

This paper cites The European Physical Journal C , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations The European Physical Journal C , volume=

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.889456Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9120e744-9913-46d9-bd65-8476f4d12cc9 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=

Reference 42

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raw_fallback, observed 2026-08-06T16:56:19.882830Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6cbf51a1-2580-4c2e-b6ec-a480d69816f0 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 43

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Unavailable: canonical work link unavailable.

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Observation 86601ca2-28c3-40f0-a8bd-f194b6ce2647 · outbound

This paper cites Proceedings of the first international conference on genetic algorithms and their applications , pages=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Proceedings of the first international conference on genetic algorithms and their applications , pages=

Reference 45

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verified fuzzy
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.311661Z digest=sha256:93e3e85bfb0c0053601d8fbf02457e1e1ab9d33944b850d035d3384294c470c6

Observation 1f4dc712-ca6c-404a-97d3-00cc174fdec1 · outbound

This paper cites Pramana , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Pramana , volume=

Reference 46

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.313440Z digest=sha256:1992b30a1ba841c4ed9b87fee2c60840cb75d2484227dfc3c76f898316ba57fb

Observation 33fb6157-898a-4140-888d-a11c7c58188b · outbound

This paper cites Numerical methods for nonlinear partial differential equations , pages=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Numerical methods for nonlinear partial differential equations , pages=

Reference 47

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.315115Z digest=sha256:d148c22097659bf8909c19315e840374498cd5a82022061ae1b89908105be3eb

Observation 0fe990f4-522b-4ded-bb70-aafe24ab4183 · outbound

This paper cites 2024 , publisher=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2024 , publisher=

Reference 48

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no resolver link, observed 2026-08-06T16:56:19.316799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.316799Z digest=sha256:2cefa1938f490a57a3541ebfc5305ec8010decc33d97696a2b2c2c6dea07b3e5

Observation 717bc6a0-dde6-4980-9be5-d9976d7419ed · outbound

This paper cites Mathematical Proceedings of the Cambridge Philosophical Society , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Mathematical Proceedings of the Cambridge Philosophical Society , volume=

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.318811Z digest=sha256:c600077e6a80bd02eef08e750d82477339b5fb765f212f1fb4ec73f0a7c2421d

Observation 36055edc-d3e6-4d8f-9850-754c90be71d0 · outbound

This paper cites International Journal for Numerical Methods in Fluids , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations International Journal for Numerical Methods in Fluids , volume=

Reference 50

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.320571Z digest=sha256:23e4f23137f7b47b5b37c05a802c349d437282c3b43a1f5ac34a55882c9e9b9d

Observation d7adc272-1854-49e6-b781-9a0ba3e7929e · outbound

This paper cites 2022 , doi=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2022 , doi=

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.322117Z digest=sha256:39ee7b597af8aff9d7925f272fd59ad71969b7d5b9f82b1620ab6c716031b857

Observation ce96d324-6146-4ee6-ac2d-91479512b03c · outbound

This paper cites , journal=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations , journal=

Reference 52

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.323765Z digest=sha256:486e1231f25e8eb34f0a050ccac4fe420502d9a4b2410435b559943cd8dc546a

Observation ad40b0aa-aecc-4fec-bfaa-e287bce9acff · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Advances in Neural Information Processing Systems , volume=

Reference 53

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.325523Z digest=sha256:58a688304e2bd2bcb08817c3bffeee5cdf3faa2e284e0132492ab4b9e14370e0

Observation 8018ab76-24d6-4eee-aed0-fdc032c28316 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Advances in Neural Information Processing Systems , volume=

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.816508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.327244Z digest=sha256:c003db1a439280cc3a905cf1deb1b4378335510e0f80064512c7196fc0666766

Observation 297629a2-d123-4a85-8a60-cacd17c80ee7 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 55

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unresolved
raw_fallback, observed 2026-08-06T16:56:19.809089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.329083Z digest=sha256:68a6235975c8fe697ba6eb60aaa448e2580c5306044a53756f576afcff6f9b56

Observation 902e9046-0040-40ad-b190-7f8ef0aef7d8 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 56

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unresolved
raw_fallback, observed 2026-08-06T16:56:19.803704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.330847Z digest=sha256:a49202fbb58c521b7178ef3ef77f34da445c80162e93508bbb9accce8a435e6c

Observation ec98bfe7-4743-423a-a21f-9122718ddb07 · outbound

This paper cites DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 57

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no resolver link, observed 2026-08-06T16:56:19.332616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.332616Z digest=sha256:642792b1e3babd22c4cf8e486be5f1527e5badfd5584c62e4a72adb0eaefbfce

Observation 2d905992-148a-4e6e-a1a4-1ae836db83c4 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.796673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.335835Z digest=sha256:8912c29733534ee90f456d1562ed0a9d05029473cf54e8ffa837930087a1998a

Observation e2cdcbbc-85b8-45c8-9c03-1ae66b8da03c · outbound

This paper cites Kashefi, D.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Kashefi, D

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.789277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.337753Z digest=sha256:3b93fd8a9e8be03e5bc39c2062ff65586f807a6cf9dd3bcbb3e63fe08bc29adf

Observation 7e9165f6-c2c4-40e5-afb0-2510c2b0fb62 · outbound

This paper cites GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations

Reference 60

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verified exact
local_arxiv, observed 2026-08-06T16:56:19.562124Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.339616Z digest=sha256:67953564d471293780cc3ad68a18df74c2f6b64d184e6f5bfc42f2c22cb4afe2

Observation 7105ca9d-a8da-4200-affd-20d0c79a2c04 · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 61

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no resolver link, observed 2026-08-06T16:56:19.341328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.341328Z digest=sha256:b319f88891bfaab1398fc62173c68c44e83e4b5107d634cf698dd62afba85968

Observation ff0a6548-0407-468f-aca3-32a8714ca63d · outbound

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

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 62

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no resolver link, observed 2026-08-06T16:56:19.344002Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.344002Z digest=sha256:d444270338300b00d8f039b7f7ace2f46b8723b4b26ae741d8c490076899d635

Observation 652bd462-0608-4917-9f6a-2ca1a1ee799e · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 63

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unresolved
raw_fallback, observed 2026-08-06T16:56:19.781604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.346104Z digest=sha256:f604aa37c4ce83be9f23460c0083a397776bdb537f91b08283a864d9f92da72e

Observation b3adf170-e01e-404d-b397-99dad3802a39 · outbound

This paper cites Aliakbari, M.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Aliakbari, M

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.775111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.348043Z digest=sha256:058f19cc905535b4dfd3bf4fab5cc2abb1b8386887e2c352469453da924a839f

Observation a62de8ce-4362-46aa-81cd-37bb926f5117 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.766945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.349838Z digest=sha256:e8ffa6e86801106e2b77eb58ed314d2ae753d1626cafd959d0ec5a893ba600d4

Observation 7cf6144c-1882-4bde-ac10-9ce0c0024d2c · outbound

This paper cites Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 66

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unresolved
no resolver link, observed 2026-08-06T16:56:19.351615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.351615Z digest=sha256:c5414a2265206e2e8e6de11426b68b5733289f86959fc7b586773f4c68366877

Observation e02010cc-e0ae-4ba1-b4d8-927498263e49 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 67

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unresolved
raw_fallback, observed 2026-08-06T16:56:19.760857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.354877Z digest=sha256:fd45bd80954511114351ba423ba68429e1139ce6009faf9f6d11fda5035e0ed3

Observation b8906db0-f685-4101-9f42-3617578f2fbc · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 68

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unresolved
raw_fallback, observed 2026-08-06T16:56:19.754735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.357842Z digest=sha256:51ea111337a5a24882099a31bbf34762685c4fa4045752822872c1493c2f7ed8

Observation d4b28bff-9dad-4cbe-b7b0-d73322462262 · outbound

This paper cites Stephany, C.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Stephany, C

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.748098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.359673Z digest=sha256:e07fcc47d449b8d7f45d472190ff8a15c7fe6eaf15f615dc77be5b2452694659

Observation 7d9597b6-76be-49cc-833b-e2bbc41c9db1 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.742102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.361555Z digest=sha256:9b91a2693a7a7617a15781a01be4194c2f7d14199b83b6cd9cd07c38c4f9827c

Observation 68fb1dbc-c2a7-4c86-95df-7a2d96cd08cd · outbound

This paper cites Raissi, P.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Raissi, P

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.734932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.363291Z digest=sha256:71c2bd22bd9e7edf183d0c6908d62b5b8070cd144afb201f463006f3a3928826

Observation ca1bb613-2cc4-4fc6-bc7b-046b717ff7a8 · outbound

This paper cites Krishnapriyan, A.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Krishnapriyan, A

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.365790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.365790Z digest=sha256:cdf37e993d7a9287dd504ad3470f159e5b09476e41bb80b6cd741b6fb9c15770

Observation ddfda420-30b4-4500-9b85-7ecedb2eee78 · outbound

This paper cites Haitsiukevich, A.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Haitsiukevich, A

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.723955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.367834Z digest=sha256:182a8d272755ecd5bfa7823388e22eb2cf35872b8c2925f473f7741a2847c9ba

Observation 4eb3d8d0-1189-4fdd-b72f-575efee3157e · outbound

This paper cites Leake, D.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Leake, D

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.718110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.369616Z digest=sha256:4717c10a9b2e929c7ce04dcf970402e690b3b06d1b73a8d9ac14fd88eef227e7

Observation 1baf34c4-65a5-4f61-93eb-6fac427f366c · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 75

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unresolved
no resolver link, observed 2026-08-06T16:56:19.371322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.371322Z digest=sha256:56223224a9af5fd4050a851632eb2559147288ef42cb3c397b60e511a78a0326

Observation 2a175920-9900-430b-974d-d095247152f6 · outbound

This paper cites Xiang, W.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Xiang, W

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.712329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.373309Z digest=sha256:965e4cbf69982643b2ef4976f00363e387f2c7d9a23eb8fcf570c8cf236f99b8

Observation ee821062-b893-497f-a641-00fa58e7043f · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.705862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.375473Z digest=sha256:8e91e9da6a555568feb92e7517d285d2c739b920d2f24b3563c2147f734d7465

Observation 5eadc7e5-b7b6-4d06-a1d1-3b61e1a44537 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.698830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.377277Z digest=sha256:cec7f43b2b04b346ac0958b57c347dcf802e433b169260561810a6c62d4bdc17

Observation f219f325-89a5-4576-8f0b-02138102eb23 · outbound

This paper cites Gasick, X.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Gasick, X

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.693092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.378907Z digest=sha256:0ca8851137d27018d317d7f103120726d6ddc177c258bd92faeca2f884242397

Observation 76d6ab52-5722-4fc2-8a46-c0a951c2cca5 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.687432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.380908Z digest=sha256:dc4d23924919c26f16356abc580bfdad96f23b61efc1ad24676571fef1d40adb

Observation 8ade089d-989f-43e8-9050-10987ebf6ce6 · outbound

This paper cites Zhang, N.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Zhang, N

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.681675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.382722Z digest=sha256:2d9e6cb9d36b68640837ff5116c5cf325e19b0b733e4ea9924fa01035510828a

Observation f104fbaa-2663-47ef-88fc-909e4cf485df · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.676018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9220b1fa-9515-4361-91d7-e87b57bb0fd6 · outbound

This paper cites Beltr \'a n-Pulido, I.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Beltr \'a n-Pulido, I

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.670271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.386990Z digest=sha256:5a306f6062dc240d2e8ffafaed725c988ec0f70f7eb43c9bba0de61cb6fa7e22

Observation 32b61964-4d08-43d8-a838-6f8e6671f800 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.664566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.388787Z digest=sha256:03231122412610e7c546c0b22cd7bdbf3ecd12ea931ccbc50cf90b1777ce003e

Observation fc87bca2-d673-4a51-b6d0-5b6b533f1010 · outbound

This paper cites Fries, X.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Fries, X

Reference 85

Resolution
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raw_fallback, observed 2026-08-06T16:56:19.529706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.390493Z digest=sha256:6a8a67beb7c63aa635bbe6b42d3f66aafc2b2fc5eba5bba8d9975b7a8cad0937

Observation b85e0539-dd6e-43f1-bbf5-7f5501af6e4f · outbound

This paper cites GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder

Reference 86

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5e51faf4-a453-4365-b7a9-0ac56d112202 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.659220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.394209Z digest=sha256:d8c739ca8897742dadf996a45cd07393135c1394e7c6a74b68dbc691fea32a58

Observation 13b8e541-297b-448f-8ec5-3cce2983b5bd · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.650283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.396573Z digest=sha256:60884fac27425676efca4379fbac550552314eb2c0061a94107e693ec508e11a

Observation 71e95257-61b6-4f36-a310-b38fadf32fa9 · outbound

This paper cites Lopez-Paz, M.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Lopez-Paz, M

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.640278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.398940Z digest=sha256:a544266dc973c2b17a308ea569acb1d3ee791dd028bb18a7b90277e853b3943c

Observation 2919e049-90ea-47c9-ab84-e530bec22a26 · outbound

This paper cites Rolnick, A.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Rolnick, A

Reference 90

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.401150Z digest=sha256:f8847c597572d17115bdde7a25e87abc49272591be20d3d054968c9a10a2b266

Observation 89d7c217-03f5-4ab1-8122-74c2cc440f06 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.628558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.402936Z digest=sha256:50623cdb0667f27a86af64f6c3fca3d6d992ef979c57434b9b5c52dd57b93804

Observation b0045807-0d38-4605-91d8-497d41f2b258 · outbound

This paper cites Baldi, K.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Baldi, K

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.620060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.404980Z digest=sha256:5de5480607ee24f41a4544370cadedfd0aa343f00068ebcf45bcf5218dc3c029

Observation 958ac3cc-b608-4006-ac48-27077af4e9a4 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.614381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.406873Z digest=sha256:d49cd1bce1b268f8171c235de40943af1292f4847b9ec21acce0cea94df6242d

Observation ceb58333-b98c-4759-896a-988f89a66a54 · outbound

This paper cites Nogueira, https://github.com/bayesian-optimization/BayesianOptimization Bayesian Optimization : Open source constrained global optimization tool for Python (2014--).

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Nogueira, https://github.com/bayesian-optimization/BayesianOptimization Bayesian Optimization : Open source constrained global optimization tool for Python (2014--)

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.608221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.408723Z digest=sha256:16b7fc22d51b89325b68808d1ed1645e084ff03e1633ca239aa676239a419064

Observation 88c8c787-9e16-404f-8259-b0938d9495eb · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.599679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.410404Z digest=sha256:9d17255394ad619e5244b6138c205d5157a1dbfa135ec92abdb6b1128400325e

Observation 0a7e615c-b599-47a5-81d4-0ee685ebfe00 · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.592789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.412450Z digest=sha256:410fc5b4436d4d7d84c196ed19ad9cf45e5d295661cba5c26a2b56dabacb22f6

Observation f5ba8ca9-fcb7-437d-9102-48373d353b29 · outbound

This paper cites Bartels, S.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Bartels, S

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.586755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.414616Z digest=sha256:812f40eb360f13be5326d5be46b0724b34b894b9dee4f4233a472d74c7d3e9bb

Observation bc972b5b-0e01-40f5-9e26-fee2505b230e · outbound

This paper cites an unresolved cited work.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.580557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.417219Z digest=sha256:57cd9fa5724a0a8fe8a8116a10b7817a3841d46428c9ca00c9ad295981999e05

Observation 70d8b802-d26f-41bc-bf25-db72a322109f · outbound

This paper cites Temam, Navier--Stokes equations: theory and numerical analysis, Vol.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Temam, Navier--Stokes equations: theory and numerical analysis, Vol

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.574441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.419027Z digest=sha256:cce89ab498fcdec0ae768d8215b15fd935aeb7d8a4bb56a1814e9d07dd84f529

Observation 8da8ae44-98c6-44e7-8a69-7a232a1f9879 · outbound

This paper cites PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.420787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.420787Z digest=sha256:ca6ed677979c48fa3a49c1ff12c0f55a995eb510da49426f62ad64981b089cb4

Pith citing papers

No inbound Pith citation observations are available.