Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.215201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.215201Z digest=sha256:fd15f50ce17a909daebe263c02a42ab5ac7d3e6e9e1d640fe7821cfdbe85ed72

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.218881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.218881Z digest=sha256:17851ed093bae2847629b8f90646c11c2edfcb417b08dd11bf15bfced00c94e8

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.220988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.220988Z digest=sha256:5bfa0220e0dd306235f780248a0f6e21982a0db264dc26992024709007c12651

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.223582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.223582Z digest=sha256:931f31c977ae2826f128de14693a737157972ae6875c2d990413a99c84e3fd97

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.226700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.226700Z digest=sha256:46d3673d0f3c0f3cafd9493162206720fdd6cf30fb0465e045cb64197041dd37

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.231950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.231950Z digest=sha256:9b32c7f671a0e7d67e8df78269921101deb2950538d499ac9701f4e10d37ea9e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.234322Z digest=sha256:55dd814e848040f9703df5b1b7e8a7b622825f45aaf86e808b6b0a52ef89bcea

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.238665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.238665Z digest=sha256:8681b9f9e74964fa8e09e08fb33876e4fff28cd2a7ba95c8080c77471ce4d652

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.245854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.245854Z digest=sha256:4de2df4de439762c8ca3dfa4c14d16ecf3ca573b0732d9d26f03f8b72afafc4c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.247581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.247581Z digest=sha256:e76967e17f4ef3ac237541a0cf8d5727d0190a06a5acd3e5be45194dd374973f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.249522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.249522Z digest=sha256:c01a297bba2f9370fefb1dd0ce7acbfba1906c4c302d9e9821045b054662fdb0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.254159Z digest=sha256:42f86780334930fd68b48c0146bf3fb7f9dc6cb2876de45ae0ec1b3996b93de3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.256932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.256932Z digest=sha256:7c716bb3111d3b3f9a4b2bccb27b59f402dacb065b2a4974883e919c665e72d8

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.259038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.259038Z digest=sha256:b3d34d4f0a6f46f7645b666681881a42da9d1d7dfe38ae7233095bd3768bbaea

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.260716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.260716Z digest=sha256:efc347a65135b3499ee8b38c865416750083f2c156ef9742730b9974ce65bed4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.262781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.262781Z digest=sha256:f36b68e3803fb602562410fe2a193b3bd2614010ce097e3f3c48a85c90b1584c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:19.265012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:19.265012Z digest=sha256:1386a6b2b0da334ade03f5fae017d1459957073e97bf7244d7bd3ca128ed6397

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:20.030783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.267735Z digest=sha256:0d962dccd93d9a69fbc728d6493795d75600b9563e3dc11568cbc32c81771bb2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:20.023086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.269688Z digest=sha256:a282802286a512e2f489983a67424e69f2353be5562bd880759c4163a8ab7881

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:20.015421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.271352Z digest=sha256:0b322cf1f1849446eafbe79477de704a2a0e5d960801dc46a3d22bc6453ffea2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:20.008447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.273140Z digest=sha256:de3f0c3e0fef7a91c2c4d1c38fb7b61f6b1e897fdd01b332378e474814bf5cff

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.998635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.275924Z digest=sha256:f807122d5ce289978f58825a515fc090731c5f89488cad2778912f13d38a7c25

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.991755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.278303Z digest=sha256:6715926af8d8a1426c192375df9c560be1ee9d3ffc36c0d51f2a5010983ba496

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.983797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.280142Z digest=sha256:42f42bc491493d0ee7c2329d6af719193d864b7d56c3084b37947dc98ee05391

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.976660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.281915Z digest=sha256:b3c20697df9d74a74337e2f4188cf2d111f16b60b7eb6228c4f584fe5e4ae098

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.967600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.284260Z digest=sha256:5ad0d882264ec98dfd19d7a358aaa1f5e157a7e0ce9d306385a74e8934a5602d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.960240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.286770Z digest=sha256:c30e1970861bb08dd3a7379b2e9a4efc17eb15f26cbdd1b932bfaee9cbd0563d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.949970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.288573Z digest=sha256:f85ad2f742f9348c854d8b8551db19eb356abafa2766d0f4ad5e2c5458992dcf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.941773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.290271Z digest=sha256:365f33e0a95f8f647ebdcdaaf1eab746f4998b5f9f780f8799caa6d89a1d98cd

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

This paper cites an unresolved cited work.

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

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:19.933525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.292006Z digest=sha256:058536d5847772ce26141f5922374dcc5178ef13ec5bea2610c8c622a351d98c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:19.924996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.294213Z digest=sha256:b6bca5019c0a0f37e97b75d485e70015d0751d28d9fdd63700a47baf64c9bb03

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.296759Z digest=sha256:2c0987b8a881d030116cab75afff16c296394b3fab801c1d0ca54a23a065a9eb

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

Resolution
unresolved
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=sha256:9735b5c32222e7bf3c56df4ff2362a3c366f991bb9b2094ef271084824512c5f

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.300774Z digest=sha256:70e9a256b35d572b1afc29f59a8fee8026e0232ed8e6c55e5149920e5b146100

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.302627Z digest=sha256:ab75f0e97d7d613b7482d54d24e7b71bd00c8a90bf6c8c724a0a5f0b186f5f66

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.304395Z digest=sha256:5f7dd78aa7f1dc50dced2ac1acf54eec14319187cd264d990d23f21b16f53a9a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.306078Z digest=sha256:1eb5215e985113ba5e711ecff4d3adff9f1eec62c35c768c1c6248f4221586fe

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

Resolution
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:cc4f68bca19fb0cb2775ecd09a8ced553e70199635adfb2ed951f0bce7ad9078

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.311661Z digest=sha256:972b03ebdcd81ce34650d010410b93c118fe0c520b5994eb3637cc67fee78429

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.313440Z digest=sha256:66b30e3b903ccaf2d6af1e19deaad14bdf745245cecd5304def816e39402f269

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.315115Z digest=sha256:2e0f16ce1317aeb032e9b2fba8a3820f2d0980c7846f0f524e54bbb286513d03

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=sha256:3f108a6cf05e2778064937d28e9631e0cff465a1417dcf955f95798f3446f575

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.318811Z digest=sha256:113571ce0a7b41b931697ad0f53e1ea2e434abbee276052d36ca14e1c327b03c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.320571Z digest=sha256:4aa9da387683c4d87d23c6a66817cef8d3bec03e2c1b3ced5bb9f6b5fca433e3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.322117Z digest=sha256:1ca321f04a881acc8f1168210e8c232f70579a0a61d298e0473d66f91fb9bbb8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.323765Z digest=sha256:48f3a609cb55cf2538990afffe9edbf4f75948cc5806a38def0db6eda850a6b6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.325523Z digest=sha256:18643551aec137ada237d95182260bdeb1d34dda93cd5112d64d9cffec651d66

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.327244Z digest=sha256:41613caa9f471d0f59fb4f57cb4f0f56007d01b38ac929ef14600ef0ecbd66d3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.329083Z digest=sha256:326ed2cb442458c67bee8502db3ff52f5f8742b73006a1363b01e4c92e689a1f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.330847Z digest=sha256:c5ae9681bcb1e7dc9278fc9ccd8d69e6e2f4007eeb8b83ab6e2ef3fc98a9efb7

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=sha256:13836567ecc599e7dc8bf79137661485161e580292d6e076cccde6a36fdd74aa

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.335835Z digest=sha256:f47aad4a0e7365123360383079e2b0907603dce3d65b7d0ff442d99ab0dbb804

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.337753Z digest=sha256:37bfc79d467a92f7fd73c82cb8cac422c601dc9b4c7e5836d1b7eaaf3cb554fd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.339616Z digest=sha256:a6e54bf20b709ed7156521e6803a2ed266be96bfc642bb97808e52656e3ce467

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=sha256:2fbcf57183df09c752b846cf5db7c568249c962bcdb18a08ea0742fd2b766d0d

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=sha256:87347b96224882a53b30c5abdbd3bc723359914a789842f078c646145a5ee6b6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.346104Z digest=sha256:c85cc3dcebec95efd333d1788615d0f4f017cad8094cb3798d2e0715b7dbc058

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.348043Z digest=sha256:57660e8d6f2c62fd4e877f4327d37c98eb0e35e476f5c6fdbbda51a99e599897

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.349838Z digest=sha256:129a98722041f3971e4f1ae8e85abe36ccd1b3c88268c45ba1461df569ff444a

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:ed5c5c3a5543184e1a3111e6edbf44190794a24385328b9c7ccba38cf856de09

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.354877Z digest=sha256:79fd4c4ff7ad06f486d3b79bc17aacf86b1a59a8aa8c995dd8507134014238cf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.357842Z digest=sha256:d449cd0afa1201e20c3ecd7e9f27b1bfe34e7fcdf54d0ee5161078b65dcc048f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.359673Z digest=sha256:d57eb3940949fe52cdd4888786dd466d769052cd689cd6c3263fbbeaed5b96d5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.361555Z digest=sha256:34ed1f47db132a0ac467e6449c16252d0e0c160cd906d80e20023a8e043f2ec2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.363291Z digest=sha256:71de0c56d9e5a6acbb971647337411a0253437b6c337b43325cd89f24f9d3e4d

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=sha256:43f0bdac61b772bed4869d2fbf7955b313e788b07b089698eb1cd90f464458fc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.367834Z digest=sha256:5d83cc7ecfdf94896fa627bd736cb52d489da7772a6554a3a3a4a83f2b68370c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.369616Z digest=sha256:ce6ed76c2f294df7916801a94f7686cadea97fabffc964996e56d4ee0b61b02b

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=sha256:7593446287eb3ebc21c3c5a78375c1bd2c0cd0277c1a07cee320e00379dac260

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.373309Z digest=sha256:63a95c813de348fca78decf58a844a67f7b9232bd1ea561654d013ffe0f7bbe0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.375473Z digest=sha256:d4881198c96502b2e67540fbd97e3a5d9a32f7ee649efa2bd4fa1bf9f3e18537

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.377277Z digest=sha256:36fd41972dafc9506be85e34a156b189ab4cf8dffa2e205045d43693a81c772c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.378907Z digest=sha256:febb33755b81ea0f770f42f9621b7630aebf657fcaf4e535004e935d2a943d73

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.380908Z digest=sha256:a9a5f362c36632d8695b2b10ec5078586d7b6e329b67df83e01be956dee20982

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.382722Z digest=sha256:81f035b78e0730894fa5c243a5a04d92e6e623cdc45524886676ed637de88d8a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.384475Z digest=sha256:15a687a4659b221e9d9af406f09df0bd03f863c463c1a48f1b5d718333d188ec

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.386990Z digest=sha256:c607110f5c659be048baf537c0ef5e563a5b40eea1f353ac302438e56a0c83b4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.388787Z digest=sha256:c8ce36a989d883c78a26297b384ae0226bfebe7befed0959d097b13f9c510563

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.390493Z digest=sha256:701d9b2f7c0b2f100975594fb6c87efcd88bd81d7441ee3498ee603b019acc00

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
local_arxiv, observed 2026-08-06T16:56:19.450026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.392273Z digest=sha256:f9bebc7c5940bb497ad40a8426cfa0f6ae0104868c13a28bd445e9191f895dd3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.394209Z digest=sha256:5efaf488ea5947aa14ada05330f2b3543f6faef4be853784cd99a98bfaa284f7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.396573Z digest=sha256:51306f6e5102df9a20f8ca651ba94e8b0e19728ee6f03c79dac2ee52d179e457

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.398940Z digest=sha256:7ce8918e6848149a4b819973015f1bf249b58a74c0f5a1bfcc496d36d4783119

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.401150Z digest=sha256:273761fef492596ded308b8c4f00af8da5aadd61e01dbec833ba3218658a2245

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.402936Z digest=sha256:2a733882bf8a08636d7d135cc08ecb5e3baf107ebebf81028c24780e880893a7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.404980Z digest=sha256:a11d008d298ec00f1c179cd2737ba46801c79a56eb6eb5440239b1d9bf7f90cc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.406873Z digest=sha256:4de60a5ef8b3c5ad737630b4ce349244fe5a26056845ec5ba75348405a4ca464

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.408723Z digest=sha256:c166f22dacbbadd76e8caa54a5281b030b7ab2dedc90e7881f78a2c2a224a9af

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.410404Z digest=sha256:32bc49c23f0813cd2a8130e7c92f8e2b61dfd029e1e4605e67bf173b21f4d789

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.412450Z digest=sha256:03a7a8c1baa42d9508473c8c7e60201aadaf3a9860302d69c4c21d3c3a6675a7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.414616Z digest=sha256:89e8a23385759a01651b516c7bdcf0d09359140a8f1bd164d2114e3e75c0319b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.417219Z digest=sha256:38f0d1e28c7fd8f131dd369c11087273ef3d7bf5b405f869d171bcba452d9657

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:56:19.419027Z digest=sha256:7259b268d09c23355652cf5e754571ac7309e242ca2587abd87155af90cd2d22

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=sha256:35a7c8bc824c8afaeeb4978564ba169bbff3b650f807df593e9a89a610122509

Pith citing papers

No inbound Pith citation observations are available.