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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
  • metadata mismatch1

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=sha256:9e6900a3551cb1243ad773374a88d953fb3d8cca3a3fc6a57b8180b477216f98

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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source=arxiv_source observed=2026-08-06T16:56:19.218881Z digest=sha256:e6e508ec7e2448f3190f43b13cd5e169dbdec8d48d7729e5d23b7d97f8c8322d

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=sha256:6ae607349cce605d7f3f5ad94f156659c62a09468d8f9cf79ff4b6c0da3f6582

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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source=arxiv_source observed=2026-08-06T16:56:19.223582Z digest=sha256:45cebc52ccd8fd29627828067b46cefcaa2e982464483d34a3888a2783223c9d

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:c1a262d032da5c3db712ebcab668c80fabb31820c76eae99be184b8d73ac1392

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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no resolver link, observed 2026-08-06T16:56:19.234322Z

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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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no resolver link, observed 2026-08-06T16:56:19.254159Z

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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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source=arxiv_source observed=2026-08-06T16:56:19.262781Z digest=sha256:b155b3ea459b0c0b83800de6089282c96f58a18a58fb9dce142ca1bd2e2acaaa

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.265012Z digest=sha256:a7b04ccf7316997905a21fe414b8d35cc5fe8a60cbd4f78edcf638f8475ab530

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=sha256:77085688c3dec3d571aff7898a25d4a5f63054532d6eb6bcfe855d9f10b0eb92

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.

source=arxiv_source observed=2026-08-06T16:56:19.278303Z digest=sha256:6cc823f6301f5946fb6cd48fb81603b60f7fd1456615cd6971b8e91d2d1a163e

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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source=arxiv_source observed=2026-08-06T16:56:19.280142Z digest=sha256:805d9f93a6ce3a78e97de056da64b38cf293b152dd0b8f3e261e7abcf75c28b2

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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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 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:e01ac87bfe1765e1c73f1e847aeb89dfecf83aa1985ac531e61f5dded1f29097

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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source=arxiv_source observed=2026-08-06T16:56:19.288573Z digest=sha256:86a6dddeb8047e140c2612644e674426f30f97a7089e4eab9c4c54e1cfdf3bbb

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.

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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.

source=arxiv_source observed=2026-08-06T16:56:19.294213Z digest=sha256:c08ca69d94884652f59a458e1c01f4936152680546e1441e529989a18c9932df

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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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.916096Z

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=2026-08-06T16:56:19.296759Z digest=sha256:b694cbb93a915198422a6f7531e195d1cc39314facd5eb7b050d401d4888c880

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:fc43793b774d9f4111cc5c0dffa6092abd3b18c6219d018dbf8540bcc5b76a59

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

This paper cites 2022 , publisher=.

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

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.903198Z

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=sha256:611264c60ca99449518775b9482447cb1bedcffd708ee1d2f59254dec431c834

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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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.896509Z

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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

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 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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verified fuzzy
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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unresolved
no resolver link, observed 2026-08-06T16:56:19.307826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.307826Z digest=sha256:14047808e9243f0631ac420e26e9fb72c319b0a2f1053f433c73980b25176ff9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.871164Z

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=2026-08-06T16:56:19.311661Z digest=sha256:44d5e15ae55be67cfb36d72948f53dcfa9f359a4d3f7996c2838021f75c5c885

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.865281Z

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:b3a30d34f5b75f883c3c69bca767ee81c79b89079ad4a6304149a00b36d07579

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.859187Z

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:be42649ac4af6237c6297d6caf900ded4490afbfba8d9deaa277e1f5b6b6d92f

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

Resolution
unresolved
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=sha256:04a6a31cebd2728adc007d760b25bd462bdefa8c5e46a2f7f4275db1cd5048b0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.848566Z

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=sha256:584016648b9d96b0db14511b230ffd9769706136291f8db713d4d530403913d2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.842904Z

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=2026-08-06T16:56:19.320571Z digest=sha256:664f89e03da968cee0536b8363238c166f26289def51333a56972ae39c7510b5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.837259Z

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:badae77686419a00f220d1b3021465c32c8fa0038cde03818a9fa54935b22ee1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.830268Z

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=sha256:486f10a232fe33edc88bc4867ac3e9bfc18db42328cee4b3b79f26daf2acb003

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.822727Z

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=sha256:5d0d3c4f700564689ccd2020387037923c0eed7fa12ee94d4f0d5057548fa281

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

Resolution
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=sha256:59c9f406a033bcd3ff3bd97f6e0d69247c0dd495d80f8013bc759c20fa01a3cf

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

Resolution
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=sha256:249bc034cbc915b222fc38e8d07ddfb82c00f9b0d5fef27241befb01ab42fa2f

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

Resolution
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=sha256:4ead4fca415b711bfbe29548b1e59b61600ba2dc3c8781ad3e1d03db14b93d5f

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

Resolution
unresolved
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:bd7723413f841ee519c40c3b96486d8a8925c46cc9208e187e870ab1c667ab03

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:b5da94b9bbf0b3284fb069954f5150461be1c2dd82d536c4e062925a51ad516e

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=sha256:84a0883cdef9275d442399119f62a59f01a5ab6091ee3584990ced6af431f8ce

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

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

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=2026-08-06T16:56:19.339616Z digest=sha256:c99d0996af23702266eb379cf8e279c99281a2d57c3bf353ae5e2e9a214ff722

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

Resolution
unresolved
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=sha256:67953f9f87a989007cf95d79ed882f3fe19cae831541db321b2bbd74ecc54caa

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.344002Z digest=sha256:96e27eeb1da4a54b7cd42145b652d0668b9bc7de497ec5ec960a8fe6312b9f74

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

Resolution
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:c91a3888275f14f669c301e06d521d738671a3c8700347c1c301160aff5b1631

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

Resolution
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:cc135f9e9b08b4d4db010d2549069072fdceba31190a12863ed26e5b2f02c486

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:d3c60422b287556e3ef1087347d040601578c9beb17b54b29b54487be083e74b

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

Resolution
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=sha256:8edc5659b9dc98d8c02d1e7d1e4de409117bd5ab1e9d914ec3a58985622c016d

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

Resolution
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:c094b93cdbfdd44df64a9226b3e3242576f9ae4c749683883aa098e6c4b881b8

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

Resolution
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=sha256:902e50b23b7fb88518451316cca755ec16e67a86a1d96ccc89a033e2f4efbcd7

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

Resolution
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:af0e8f40def8c8bb91d47b481b06df840669e19e76773850b7f89605d0efdb43

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:b83e01b3b83b250957773ff7fe45862501e93c87e1fe4c244c9a4e89de9839f9

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=sha256:8b12dbf89687f2f5c43de34e937dc3cd04d3e850af41c00b85e25081593681cb

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=sha256:451da022db3e2d27fbe7cc7bda538fe8a65e6c9f55a594a2574030c7815badc6

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=sha256:5160063c912540c11826505639713f546ad988d9ea97ebf4a542696994703671

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=sha256:1dc71352e12f92ed6994dfd2f310aa290a3d96da2b05a364e8264684ca966328

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

Resolution
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:d5b7d07cf9dc0d20dcee34b402cf7ba9b5e94ddca4d583a6c5ddd6bcd1854cc6

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:ba66f252134630a8efdf43373fe1b854c4b955111c56bcb69cb055d44195164d

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:de6e9115f79624cdcc9947bb2418ba77afd118c69efa6ef88177c7c61d10aeec

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=sha256:075d3c0ed68b097270fc3b27908a2921ee2b39f7477b7b1ed4060d01dd0d8cf8

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=sha256:1fe3f109527a84ee3f3cd551825563b511b2b164cc4b7a5bde2cce08756e4f57

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=sha256:6454c4cb742ffb5cd3f831955fc6cde5c110b17879f44ad5d610ba63d7c9555c

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=sha256:4fb8ffca6b0c2f48738829467de2956303ccd27576d7717311149d14a58e6a85

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:a2551d7cf2dbc6c5b3c35c6cdd86f37ee2b40fdcd94ab89abe0188c53020df12

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:f12864f6cca008a83b6e3c64a408b12e4f0a572e37bb1e66fcd82c02d1332627

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
metadata mismatch
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=sha256:2d2723c3d96c76d74b326686d0c31aadd1a8d724b4704c850708639de2ad6f78

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
verified exact
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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=2026-08-06T16:56:19.392273Z digest=sha256:6863a43d0169600681f20dbf7cd615055f928580928dd73578b2b683bcada81f

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=sha256:866a30741c03b1c9149f8c60946d0327b27a862fda49ca153ee49650690e18c3

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=sha256:208315be843fe80a7271afd5dea73d5a2f8ae49e7fcb464c5fb0af60cb7d2e8f

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
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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=2026-08-06T16:56:19.398940Z digest=sha256:195c4892d30915785d2a8a8bf8830354c508e821cab87a083f9f85d0dd31aac4

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
raw_fallback, observed 2026-08-06T16:56:19.634307Z

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=sha256:953d2ba9dde79c21a4747417d6c44726efcf8b340c863aa4a2cb9d7bc3740193

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:a6aed2ca3af43587a17aec9537a9b0648e153c87864ce43ba45fa83770600950

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:b6a2367c8e3e61f179e2abc5e0f95b5f48aa8e02642d9d9033e0fc58f4726644

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=sha256:679538ffaa65314d86aa30ec94f9e83c5fe701c992c7f59c99ef5b994426c3fd

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=sha256:5d66fec460829a568c52fff106572349785fa922e70285216e0904e2194897de

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:c6d21fdf392ad55de5f3f714de14d41aa4c514781b616e642e697efb03f4fdd8

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=sha256:922dc24989459423fee1adfca52b2191817866671f910768151043517d15cb08

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:c12db94f58cbc6921f1f2a4ae680a52b443ec5b20b3fd41e2e4847c939e9018a

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=sha256:98595b07e79d4c1bece9df413a3742905f554500f6d4d9f6f48e0c5c7b51642f

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:ec6b3784ae060a5a181a88ec5a64e240ec97b3721838fd3d42d11b697d070cb1

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:ca27e4606b06c41769c8e5c868fb43767044dee48070b9e96a2270fe43811d3c

Pith citing papers

No inbound Pith citation observations are available.