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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.