Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:20:51.082011Z
Paper Citation Record · LEDGER
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
As of 10 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2502.06250.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
69 of 69 outbound references displayed
- verified exact4
- verified fuzzy16
- unresolved46
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6664a8bb-e176-4221-999a-2ea92a4f3941 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.166608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fbcbbc06-a1fd-4cd4-bba4-99d1fecfeacf · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.157410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd94e7fc-8439-44b0-b6bd-2d0f269161f6 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.148794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f12241dd-b9a0-4d51-a701-15b2e754c975 · outbound
This paper cites Meakin, Models for material failure and deformation, Science 252 (5003) (1991) 226–234.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Meakin, Models for material failure and deformation, Science 252 (5003) (1991) 226–234
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.140077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1dc601d6-46b7-41bf-a0db-a99d9e15626e · outbound
This paper cites Adler, D.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.131393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9e744da-d7f5-4ae8-ad18-330a0f7c47f0 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.122383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e7014c64-454b-4635-b66f-da2b9f4afc2f · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.854973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebc07ef8-a460-4868-a5b6-589f237bb68b · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.108574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7aff187e-8497-460a-907e-1f189e2f2423 · outbound
This paper cites Gholizadeh, A review of non-destructive testing methods of composite materials, Procedia structural integrity 1 (2016) 50–57.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Gholizadeh, A review of non-destructive testing methods of composite materials, Procedia structural integrity 1 (2016) 50–57
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.099775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 524abf9e-06e1-4cee-b0b4-c2d9b760e610 · outbound
This paper cites Zang, P.-S.
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.090622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2368a4e6-31ee-4b6a-bb26-8ba30b166928 · outbound
This paper cites Raissi, P.
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.868943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49d703cb-e51b-4b4c-9967-c01b35c8879f · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.076651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 50adcd42-d679-4993-93fe-a314505352cd · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.067982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e5b61df-3419-440e-ab8e-cebdcd655928 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.879289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e87b68-6c26-424d-9b82-e03264e088ea · outbound
This paper cites Yu, et al., The deep ritz method: a deep learning-based numerical algorithm for solving variational problems, Communications in Mathematics and Statistics 6 (1) (2018) 1–12.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Yu, et al., The deep ritz method: a deep learning-based numerical algorithm for solving variational problems, Communications in Mathematics and Statistics 6 (1) (2018) 1–12
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.054297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ea694de-5558-4bdf-8cd9-81b0aba25dac · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.045814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00af87ca-2d58-4fde-86e1-6bc263b65198 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.036908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6ccefbe-5a0e-4b08-90be-733a5b4338fe · outbound
This paper cites Variational Physics-Informed Neural Networks For Solving Partial Differential Equations.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.893312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45176496-0cf6-4931-bf37-47dfa59dfab6 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.897920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bc36cf3-92e0-44fe-b519-16f380289ba8 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.901505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fc33bd3-3efc-49eb-a315-81d5f7bbe161 · outbound
This paper cites Sirignano, K.
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.904949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 315a63e4-8dd7-4a67-a641-d191aea4e5b5 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:52.018296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 303b84b7-4110-438f-b710-4a54f1312d38 · outbound
This paper cites On Robustness of Neural Ordinary Differential Equations.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling On Robustness of Neural Ordinary Differential Equations
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.912707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 128725b0-3fd0-4c57-99c7-45d5c79587f9 · outbound
This paper cites Mowlavi, S.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:52.009347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ff1d0bd-5828-4e23-b550-4965237d2e6c · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.920337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42d306a1-a26c-4c22-af44-8c8da7e84771 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.994211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation de59b917-6d7d-4bcc-a6a6-2cc412f3e36f · outbound
This paper cites Kaltenbach, P.
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-08T16:20:51.150038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 350b21b8-3fbf-4721-a82e-2e6667c77d86 · outbound
This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.931829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8dfad3d-0a0d-4ade-96b9-a5497fb95716 · outbound
This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Fourier Neural Operator for Parametric Partial Differential Equations
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.935916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3639908e-8a32-4117-a4d3-be5d208d7ade · outbound
This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.940194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65f27557-a779-43e4-aab4-e1a663f0d818 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.984353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3795f521-05ec-4a7a-8bc8-69c08d69e145 · outbound
This paper cites Tripura, S.
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.974400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c8205df7-86d5-4c41-9a6e-2039d3f1bfd6 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.952412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dea29ff1-8904-4d31-9fbc-d6f6650f3b9e · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.959210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b1c4a0ac-83bf-4c55-9622-aba983987f32 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.959628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ab458ae-beaa-450a-92ce-69c73a993689 · outbound
This paper cites Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T16:20:51.724591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8989c2b9-22d8-4efb-9ae1-f23f8fbf0727 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.967448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03700b4e-43ef-4eab-8161-1c0a7e9e79b0 · outbound
This paper cites Physics-Informed Deep Neural Operator Networks.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Physics-Informed Deep Neural Operator Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.971327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 192db911-4db3-4a96-88db-3dfb17b39bfe · outbound
This paper cites Goswami, M.
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.975335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bc631d2-b2ad-44b2-bd37-8678b9e4fb7b · outbound
This paper cites Navaneeth, T.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.944929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbce02ed-603e-4c16-a367-9232d675ef99 · outbound
This paper cites Gupta, X.
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.935620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d3d97899-9c74-458f-b26d-48c978018174 · outbound
This paper cites Zhong, H.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.926028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69276d4c-0cfb-43d7-b73f-ecd934912817 · outbound
This paper cites Zhong, H.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.916277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 49aa8539-7b23-4a8b-bd42-7bbbf3bb3500 · outbound
This paper cites Kashefi, T.
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.993777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10fb0f24-e93f-451f-8fab-1dc6f365b1a3 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:50.997457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1271457-2f23-4fb5-b6a6-44b6f432e962 · outbound
This paper cites Vadeboncoeur, I.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Vadeboncoeur, I
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.893561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 65d86268-cf02-4526-8d4d-3db89ebbbb24 · outbound
This paper cites Vadeboncoeur, O.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Vadeboncoeur, O
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.004649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 436a67c3-4098-4a32-8fcb-d13c63d2d956 · outbound
This paper cites Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.008445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a40026f4-dac6-4a4d-bcd5-39f5704d05e9 · outbound
This paper cites Rixner, P.-S.
Reference 49
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-08T16:20:51.597399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e5ade564-75ee-4fe8-aef9-bcd152954ebd · outbound
This paper cites Kaltenbach, P.-S.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Kaltenbach, P.-S
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.015942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a63c72-10aa-4461-a4c2-48b800609c67 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.883626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c467b4d-aab8-4673-92bf-d67e6a5948be · outbound
This paper cites ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T16:20:51.365178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01ac9f47-10eb-4b23-9758-270b8234678e · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.874148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e66d44e6-9ffe-4074-90d6-35eae4705c43 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.030625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8504a325-755f-446c-8373-b48c9f9daf0d · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.859250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cd87a6ff-22e7-4840-a5a5-c7bdb4eeed7f · outbound
This paper cites Bayesian neural networks for weak solution of PDEs with uncertainty quantification.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Bayesian neural networks for weak solution of PDEs with uncertainty quantification
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.037441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06d5740d-005a-4b39-971d-0909a84b9486 · outbound
This paper cites Vadeboncoeur, ¨O.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Vadeboncoeur, ¨O
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.848982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e582f7d3-346b-4d86-b470-b77ba77a8f5a · outbound
This paper cites Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.044668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f49b37eb-635a-449b-b4db-b202e63ce672 · outbound
This paper cites Alberts, I.
Reference 59
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-08T16:20:51.328081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 84dd471d-f199-44e2-b7c2-6bc64a730dd6 · outbound
This paper cites Ganguly, S.
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.838287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4cd04dc4-deee-4d6c-8838-3b9d409f4884 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 61
- Resolution
- verified exact
- doi, observed 2026-08-08T16:20:51.124344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 688b22ec-fba1-4990-8dbe-08608453c399 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.059335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0ebdd51-292c-4a71-bc79-52f2ec99d16e · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.821528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 199f4837-d54c-47b5-bb5e-89a9ab72567d · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.811496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae601f07-667d-408e-9622-d0c0dd7d6064 · outbound
This paper cites Bourke, Cross correlation, Cross Correlation”, Auto Correlation—2D Pattern Identification 596 (1996).
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Bourke, Cross correlation, Cross Correlation”, Auto Correlation—2D Pattern Identification 596 (1996)
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.801477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2845ce47-8a41-45e2-9143-93453574d909 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T16:20:51.792009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9bb954bf-37ef-4836-8d0f-671c0f040a70 · outbound
This paper cites Bastek, D.
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:20:51.075574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cffb9df7-edfd-4bf3-9a03-d1217f3fb029 · outbound
This paper cites an unresolved cited work.
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Unresolved cited work
Reference 68
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-08T16:20:51.258304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7c86622a-8aa9-4085-841d-15ae7274266b · outbound
This paper cites particles.
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T16:20:51.782844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.