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Paper Citation Record · LEDGER

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations

As of 9 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2506.04354.

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

pith.paper-citation-record.v1
2506.04354 v4

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:50:51.060354Z

measured 77 of 77 standing notices

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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

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Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fc293bc-4f7f-400e-b1ec-16f184eaefc4 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 1

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Observation 55dcf1aa-eab5-47b3-8d0e-8b178a476741 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 2

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Observation 2d393f7f-2551-4188-9250-5fa4ede2f77a · outbound

This paper cites Designing of knowledge-based potentials via B-spline basis functions for native proteins detection.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Designing of knowledge-based potentials via B-spline basis functions for native proteins detection

Reference 3

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Observation cb6630dc-19ec-4d69-a36a-5036646b32d9 · outbound

This paper cites Eslahchi, S.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Eslahchi, S

Reference 4

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Observation f56309be-bcf6-4030-81f0-e90417fc1b24 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 5

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Observation 8036bd94-0cf7-4b3f-82b0-bcb95231b8e7 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 6

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Observation 71f7c643-f566-4147-9059-55c4afabc727 · outbound

This paper cites Marchetti, A fast surrogate cross validation algorithm for meshfree rbf collocation approaches, Applied Mathematics and Computation 481 (2024) 128943.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Marchetti, A fast surrogate cross validation algorithm for meshfree rbf collocation approaches, Applied Mathematics and Computation 481 (2024) 128943

Reference 7

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Observation 051cb1a9-9d42-47f0-b8ab-d154b4f6680b · outbound

This paper cites Risken, The fokker-planck equation (1996).

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Risken, The fokker-planck equation (1996)

Reference 8

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Observation f27ca788-4101-42c3-85e4-9a146c7549d1 · outbound

This paper cites Elgin, The fokker-planck equation: methods of solution and applications, Optica Acta: International Journal of Optics 31 (11) (1984) 1206–1207.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Elgin, The fokker-planck equation: methods of solution and applications, Optica Acta: International Journal of Optics 31 (11) (1984) 1206–1207

Reference 9

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Observation 21bc8d67-f901-4daa-853d-92721bb21824 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 11

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Observation 1c285d24-7c8a-4ce3-ae7f-854154846c94 · outbound

This paper cites Symbolically Solving Partial Differential Equations using Deep Learning.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Symbolically Solving Partial Differential Equations using Deep Learning

Reference 12

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Observation 65b10a9f-a07b-4f50-8a2f-11002ef05ac9 · outbound

This paper cites Omidi, B.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Omidi, B

Reference 13

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Observation b82fff8a-6f4c-4b47-a522-d3ff161c5a31 · outbound

This paper cites Hajimohammadi, F.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Hajimohammadi, F

Reference 14

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Observation 0ae086c0-3da6-442b-a27f-dd7107e575c0 · outbound

This paper cites Sirignano, K.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Sirignano, K

Reference 15

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Observation c73b21b3-7a75-4950-8bad-4f23984ff84f · outbound

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 16

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Observation 53e3f594-c3da-478d-943b-caab04b4a93d · outbound

This paper cites JDNN: Jacobi Deep Neural Network for Solving Telegraph Equation.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations JDNN: Jacobi Deep Neural Network for Solving Telegraph Equation

Reference 17

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Observation c83e57a8-e01e-4dbe-b488-8d8c25221d32 · outbound

This paper cites Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations

Reference 18

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 19

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 20

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 21

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Observation 45f6429f-cec7-415f-8289-ca33f5eb6c1a · outbound

This paper cites Rabiei, K.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Rabiei, K

Reference 22

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Observation 95ff5652-c6ff-449c-aff1-65645630d0f7 · outbound

This paper cites Parand, H.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Parand, H

Reference 23

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Observation 8e0f03b4-90a0-4f62-99e2-a3cf82a7268b · outbound

This paper cites Hajiollow, Y.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Hajiollow, Y

Reference 24

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Observation 679deb0a-5c1b-41ad-8348-948a68c1d28b · outbound

This paper cites Lotfi, K.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Lotfi, K

Reference 25

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Observation ae967b6d-c794-4e1c-8781-5272aef316e8 · outbound

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 26

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Observation 0bf46058-6f52-47ba-a127-5581716099ca · outbound

This paper cites Baharifard, K.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Baharifard, K

Reference 27

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This paper cites Parand, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Parand, M

Reference 28

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This paper cites Asghari, A.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Asghari, A

Reference 29

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Observation 9640d555-31e9-4f1e-90a9-8c91de6a9d1d · outbound

This paper cites Hajimohammadi, S.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Hajimohammadi, S

Reference 30

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Observation ca9d5d5d-2ee8-4ea6-8b13-5d770da066f8 · outbound

This paper cites Raissi, P.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Raissi, P

Reference 31

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Observation 900826fa-078c-4cc3-b144-b1ab6d51b8ff · outbound

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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 32

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Observation 58503be7-cad5-44d0-8021-92b65da03543 · outbound

This paper cites On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs

Reference 33

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Observation 953491f8-dd0b-4a46-8735-2d9eea4d6f1b · outbound

This paper cites When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.503897Z digest=sha256:2cf2d7ff127183de10501086d234d696233930412747cb4d45f05bc3c617670e

Observation ccea3436-6a6d-4fec-8b8e-86aefcb0b27b · outbound

This paper cites Namaki, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Namaki, M

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.963285Z

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=pdf_text observed=2026-08-07T10:50:50.596009Z digest=sha256:815a4edca337a0e9ce5fe5aed531215778cc159e9f776f028b8856fe803bb2da

Observation 93079b0f-44d9-4b58-a314-4bc0a900b016 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-07T10:50:51.809147Z

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=pdf_text observed=2026-08-07T10:50:50.709970Z digest=sha256:8bacd71a18275259f511530f17aa45269c943cde3c181b5d41ba9e80c466e627

Observation 08cf0785-f20f-4e5e-893c-e50dc9448ac4 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.615068Z

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=pdf_text observed=2026-08-07T10:50:50.819665Z digest=sha256:58d7254f7aba0aac49ebf20af24846236d1b1dbbaeebd229e5ec5e8b290a3272

Observation 50720c98-f315-48da-a3da-d4fc45908dca · outbound

This paper cites Donnelly, A.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Donnelly, A

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.889147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.889147Z digest=sha256:bfb4b7f0249a9824030ce57ac8383dc77dca11d72569ce595256cb90158260d7

Observation 526f9b5c-d56c-48ec-96c1-ca42750a652e · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.584553Z

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=pdf_text observed=2026-08-07T10:50:50.899403Z digest=sha256:d271d7b03f3799dce4b76cbb24ec78ff98075fd6860004081841f80cf6fb7f3b

Observation a91b2eb7-e880-492e-a2ac-60ed0843b5dc · outbound

This paper cites Babaei, A.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Babaei, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.575563Z

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=pdf_text observed=2026-08-07T10:50:50.902496Z digest=sha256:9e77f24a6de375d3a8551fc5c63fd043d1c41739bd0396fb7352351fea448981

Observation ec3c1b3c-ea59-4da0-9d0b-746c7f9f5cf1 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.563729Z

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=pdf_text observed=2026-08-07T10:50:50.906338Z digest=sha256:b97694cda100278a5f0f36d85d9b908075c74d3c321830870e0d8831ff734795

Observation 76d49943-7daa-493a-9953-b991324d0d86 · outbound

This paper cites Zhang, Z.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Zhang, Z

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.547905Z

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=pdf_text observed=2026-08-07T10:50:50.909955Z digest=sha256:99770b3c2dfeff829b46913fa5733af2d373cd937340cc2a2ec0bb33da36a360

Observation 0a54bfe1-99b3-4b76-a465-b19f4b6ca333 · outbound

This paper cites Lahariya, F.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Lahariya, F

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.533868Z

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=pdf_text observed=2026-08-07T10:50:50.912846Z digest=sha256:6f3624848730b31fb74e1832630dbfa5e8dba329f9ef816e64a4d21e9a99615e

Observation d04822b8-57fa-49ad-9342-254acaf6e0f6 · outbound

This paper cites Haitsiukevich, A.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Haitsiukevich, A

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.523232Z

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=pdf_text observed=2026-08-07T10:50:50.917656Z digest=sha256:840d77179e23ca4712e846b2a420c4a0475449b4d59081fcae9dc42f2808c876

Observation a94dcb16-5b7d-4c1b-870b-063739c26d34 · outbound

This paper cites Rafiq, G.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Rafiq, G

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.513112Z

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=pdf_text observed=2026-08-07T10:50:50.921254Z digest=sha256:8adea404146b2e6ff2f81183489755c4fcf713245e3032eca027bd81c4c7752a

Observation c915bd2c-ad3d-4328-b30e-6c7697b43455 · outbound

This paper cites Zobeiry, K.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Zobeiry, K

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.503084Z

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=pdf_text observed=2026-08-07T10:50:50.924102Z digest=sha256:90888c7c0aadc0a563f3c4bde4e2d2632bc47c70b4e3fbfb50ba8c9979cd45e6

Observation 8f72c5b5-9f3c-4b5b-9730-42c869096425 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.492342Z

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=pdf_text observed=2026-08-07T10:50:50.927714Z digest=sha256:2d1e727cedcb7aafcc278989fe366a362b0b5f585a9ff898c01ac0af109d719e

Observation d89670b9-258e-4798-ad60-6eaecdf62545 · outbound

This paper cites Lee, Anti-derivatives approximator for enhancing physics-informed neu- ral networks, Computer Methods in Applied Mechanics and Engineering 426 (2024) 117000.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Lee, Anti-derivatives approximator for enhancing physics-informed neu- ral networks, Computer Methods in Applied Mechanics and Engineering 426 (2024) 117000

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.479910Z

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=pdf_text observed=2026-08-07T10:50:50.931898Z digest=sha256:b6be19f813ab160dddc13875fad9ea0264c9ca7b4b170233c7758c81d36dd3f2

Observation 92adbafc-0cd8-47ea-9110-04596a40381e · outbound

This paper cites Eshkofti, S.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Eshkofti, S

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.466362Z

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=pdf_text observed=2026-08-07T10:50:50.935993Z digest=sha256:5f4b75c6171c2ded157e403c6dda82e9755f1cb9863a14cb2336e9de77f4c79b

Observation aff40a0e-be0f-46dc-a947-bf57b1e56546 · outbound

This paper cites Xiang, W.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Xiang, W

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.455980Z

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=pdf_text observed=2026-08-07T10:50:50.940280Z digest=sha256:e4f4c2a64cecf3d20aca7b9f9e229344f094befd5bf1571e7c406f57376cd70e

Observation 1e8f172f-7517-41d9-a929-1d7690f88b1f · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.445472Z

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=pdf_text observed=2026-08-07T10:50:50.944181Z digest=sha256:398f12d478fe96a8cda4d69979cabfb1c4259c4af80c0de34891e90c6f10bcb2

Observation b5b96dfb-377e-4807-9ab4-06c782d74d04 · outbound

This paper cites Habib, U.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Habib, U

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.435176Z

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=pdf_text observed=2026-08-07T10:50:50.948276Z digest=sha256:4aebde41929634ad9551cf6024cd85e93447ce753af5dfbcd938bc1d97ab405b

Observation 278addb2-e2e0-484a-b48d-266b2d91167d · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.423644Z

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=pdf_text observed=2026-08-07T10:50:50.955498Z digest=sha256:01f02c6d8fdc325f3bc87ba2f4273f31b0bb3e24b9df487c90e2c05500663aab

Observation 0e272b7a-80f7-4066-86ce-df873b06bafb · outbound

This paper cites Krizhevsky, I.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Krizhevsky, I

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.960631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.960631Z digest=sha256:d2e6b20359db17705e1966080d5492d276741a9c936587268067c0031c9412fa

Observation 23eb21b4-070a-4e32-8059-e238147a1fc1 · outbound

This paper cites Palleschi, F.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Palleschi, F

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.406915Z

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=pdf_text observed=2026-08-07T10:50:50.963733Z digest=sha256:33bf7c108e1ed26e1bb2d4c1dcfa9df4e3a92d1668d187b8d1b490d0b411b311

Observation 5765eb01-6692-4396-a667-35fdec2b5f28 · outbound

This paper cites Palleschi, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Palleschi, M

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.395385Z

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=pdf_text observed=2026-08-07T10:50:50.967909Z digest=sha256:8a3a1de4d7247c2302a302535a5ae7d6f27c736eb2679c29ec43a3c2406be7df

Observation 7a01d0f3-158b-464b-bb25-bc72b9f4cb21 · outbound

This paper cites Vanaja, Numerical solution of a simple fokker-planck equation, Applied Numerical Mathematics 9 (6) (1992) 533–540.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Vanaja, Numerical solution of a simple fokker-planck equation, Applied Numerical Mathematics 9 (6) (1992) 533–540

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.383103Z

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=pdf_text observed=2026-08-07T10:50:50.971417Z digest=sha256:e0d089d26c67dde004cad6206944056bdb5d4e37691177aee079a76c9484b57a

Observation 8747994d-99a9-4c04-b3f5-65a0b35b6b2d · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.370288Z

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=pdf_text observed=2026-08-07T10:50:50.975284Z digest=sha256:5acd4a6c629b5f13b19d142f3643690f4b12b0022be6e57b60e4c5d97c5e6143

Observation 863843ca-8c65-462f-a812-cd8895430253 · outbound

This paper cites Dehghan, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Dehghan, M

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.360966Z

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=pdf_text observed=2026-08-07T10:50:50.979075Z digest=sha256:4ca13e18847da74b2b371a9140a1a6fc8ae4f88abb0073cc1ccf3ead756f190d

Observation e74141b3-c66a-4dd4-a181-6bef4448e356 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.348043Z

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=pdf_text observed=2026-08-07T10:50:50.982834Z digest=sha256:4d6ede2ad34800a863badd1a26580c22c064c2df4ae25431ee1c6a68e7fd82a8

Observation b65e9756-4c80-4142-805a-acb9944753f5 · outbound

This paper cites Lakestani, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Lakestani, M

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.338155Z

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=pdf_text observed=2026-08-07T10:50:50.989032Z digest=sha256:d3362a7ad08cfa85258ff6384ed8f425104f00b2c30464c89f0d4e20255a6373

Observation 94a85cab-e785-477b-9e27-59e08fc0b74f · outbound

This paper cites Kazem, J.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Kazem, J

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.326435Z

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=pdf_text observed=2026-08-07T10:50:50.994147Z digest=sha256:b948b707101c0f394b98d8c00bdc436d1304e3ead70204fb14869875b7c93ae9

Observation c0b5b1fd-9d0e-4f02-b101-dbd7d776c89b · outbound

This paper cites Parand, S.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Parand, S

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.316741Z

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=pdf_text observed=2026-08-07T10:50:50.998241Z digest=sha256:94c7d35f06a374868a070de76a3f48630ffbd7ea29940a4684154ccc52243111

Observation df0c0da0-73ca-40eb-bdbc-c66e077f24bc · outbound

This paper cites Czarnetzki, L.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Czarnetzki, L

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.306253Z

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=pdf_text observed=2026-08-07T10:50:51.003406Z digest=sha256:ce0dade6c2cd1fab1a55cb828f499e0bd32c4189087e53fa2cadf5dac6e8bcfe

Observation 8ffd6537-0772-4daf-9b8b-bfb23aaf44b6 · outbound

This paper cites Tabandeh, N.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Tabandeh, N

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.295380Z

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=pdf_text observed=2026-08-07T10:50:51.007373Z digest=sha256:2fb75096093841b76985db24992f2273847bd8cb5fad43ad868ed52c28d060e8

Observation b421c7d4-c59e-43b5-8f25-db9e85eddcb0 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.284682Z

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=pdf_text observed=2026-08-07T10:50:51.011707Z digest=sha256:f4dca6b70499f5af3ef7f85a1a91882bbdc5522e7025e98080ac22fce13e4892

Observation c7cef3ee-e776-4736-bbfb-0f87083b400b · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.274266Z

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=pdf_text observed=2026-08-07T10:50:51.015124Z digest=sha256:bc46cd8c59319af2fa966b15c22409289a87960cc73292e0df0ece14941d919e

Observation de497797-faa7-4d51-823d-14896e3f295d · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.262571Z

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=pdf_text observed=2026-08-07T10:50:51.019457Z digest=sha256:7bc7612c955fb45b7586a2d0563177ae1e95c9e9d00717f4a9b5d42167f52c34

Observation a15792db-f728-42c0-8687-574b0aad70f4 · outbound

This paper cites Aszhar, I.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Aszhar, I

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:51.251121Z

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=pdf_text observed=2026-08-07T10:50:51.024886Z digest=sha256:8f880f38073444d0041bab5020fde47fc8873fde69a2bfc7f3c9a4be8894f2c5

Observation 1df00074-5834-4568-b26e-6b305d48837d · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:50:51.239146Z

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.

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Observation d6be0cec-41ac-4963-8aba-e22553f79e47 · outbound

This paper cites Tensor neural networks for high-dimensional Fokker-Planck equations.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Tensor neural networks for high-dimensional Fokker-Planck equations

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:50:51.092567Z

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

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Observation 4496d5bf-4f73-4a94-9668-b5f67c457661 · outbound

This paper cites Neena, D.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Neena, D

Reference 72

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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.

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Observation 2b15686e-9996-4277-bf2a-ab56bd1fa3da · outbound

This paper cites Zhang, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Zhang, M

Reference 73

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation ebb5d2ba-3633-4aed-9723-817129502d98 · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 91480e4a-0e99-42fc-90f2-e9ab998f536c · outbound

This paper cites Dewar, A root-shoot partitioning model based on carbon-nitrogen-water interactions and munch phloem flow, Functional Ecology (1993) 356–368.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Dewar, A root-shoot partitioning model based on carbon-nitrogen-water interactions and munch phloem flow, Functional Ecology (1993) 356–368

Reference 75

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

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Observation 20c2e42b-f8d6-48c3-9cdf-19d22326eec1 · outbound

This paper cites Saadatmandi, M.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Saadatmandi, M

Reference 76

Resolution
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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.

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Observation f47851f8-13be-428d-a478-26ea6d50acca · outbound

This paper cites an unresolved cited work.

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Unresolved cited work

Reference 77

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

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Pith citing papers

No inbound Pith citation observations are available.