Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:57.993891Z
Paper Citation Record · LEDGER
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty
As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.11761.
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 2026-08-22T06:32:14.747728+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
47 of 47 outbound references displayed
- verified exact0
- verified fuzzy29
- unresolved17
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a626997b-9a20-47b7-97b5-ff3f32819dd7 · outbound
This paper cites An improved model order reduction method for dynamic analysis of large-scale structures with local nonlinearities.Applied Mathematical Modelling, 120:786–811, August 2023.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty An improved model order reduction method for dynamic analysis of large-scale structures with local nonlinearities.Applied Mathematical Modelling, 120:786–811, August 2023
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:05.706366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1d25a1b7-f840-4c55-aee4-447297eb3539 · outbound
This paper cites Ai-based model order reduction techniques: A survey.Archives of Com- putational Methods in Engineering, January 2025.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Ai-based model order reduction techniques: A survey.Archives of Com- putational Methods in Engineering, January 2025
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:05.695525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 01d96b6e-44c8-48ae-bd1c-acc1e4a1855c · outbound
This paper cites Sensitivity study of dynamic systems using polynomial chaos.Reliability Engineering & System Safety, 104:15–26, August 2012.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Sensitivity study of dynamic systems using polynomial chaos.Reliability Engineering & System Safety, 104:15–26, August 2012
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:05.549868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 14741f52-96c3-49f9-9fe3-5c306c02ce4a · outbound
This paper cites Nonlinear galerkin methods for the model reduction of nonlinear dynamical systems.Computers & Structures, 81(12):1277–1286, May 2003.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Nonlinear galerkin methods for the model reduction of nonlinear dynamical systems.Computers & Structures, 81(12):1277–1286, May 2003
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:05.266425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2252ae78-9cde-429e-a415-054d0e2e82bb · outbound
This paper cites Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation.Reliability Engineering & System Safety, 195:106749, March 2020.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation.Reliability Engineering & System Safety, 195:106749, March 2020
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:04.954617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 768e6c0c-7d86-41c8-8f1b-43155df716ff · outbound
This paper cites Springer, 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Springer, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:04.780769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fac29f96-af86-4782-bfa6-9ac1ba2e3361 · outbound
This paper cites Muhit, and Nashwan Dawood.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Muhit, and Nashwan Dawood
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:04.635263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d63a05d2-4621-4235-8ce7-08e26a296508 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:04.498591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6483acdb-2eb6-4646-8c5a-aeea49a3a217 · outbound
This paper cites Abueidda, Waleed El-Sekelly, Borja Garc ´ıa De Soto, Tarek Abdoun, and Mostafa E.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Abueidda, Waleed El-Sekelly, Borja Garc ´ıa De Soto, Tarek Abdoun, and Mostafa E
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:04.382804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 485380c8-2aff-42f2-b62f-d935a322dbfc · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:04.262536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fcc86f47-a578-4c5b-9aee-b3d4ad0d372b · outbound
This paper cites Vibration-based building health monitoring using spatio-temporal learn- ing model.Engineering Applications of Artificial Intelligence, 126:106858, November 2023.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Vibration-based building health monitoring using spatio-temporal learn- ing model.Engineering Applications of Artificial Intelligence, 126:106858, November 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:04.139211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7bc73409-a9d9-45b1-8a2c-bee9a1b6fae2 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:04.022940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9ee64e31-7b61-4eff-ba58-e8975d0fd67d · outbound
This paper cites Encoding physics to learn reaction–diffusion processes.Nature Machine Intelligence, 5(7):765–779, July 2023.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Encoding physics to learn reaction–diffusion processes.Nature Machine Intelligence, 5(7):765–779, July 2023
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:03.857628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b9bead3a-7f5e-4775-bc49-cc8054ccffb1 · outbound
This paper cites Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in Neural Information Processing Systems, 36:45259–45287, Decem- ber 2023.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in Neural Information Processing Systems, 36:45259–45287, Decem- ber 2023
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:03.708292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8fd3640e-e62e-4531-865e-32cf86de968c · outbound
This paper cites Learning spatiotemporal dynamics with a pretrained generative model.Nature Machine Intelligence, pages 1–14, December 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Learning spatiotemporal dynamics with a pretrained generative model.Nature Machine Intelligence, pages 1–14, December 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:03.549423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3cc69f11-4cdf-4e94-91c6-d76d432d5c4e · outbound
This paper cites Saurous, and Matthew Hoffman.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Saurous, and Matthew Hoffman
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:03.367958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d113014-ad0e-4fd0-9b96-3217da40cf9a · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:03.225842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 811bc910-010b-4998-99a9-6b5237af1d90 · outbound
This paper cites Learning nonlinear op- erators via deeponet based on the universal approximation theorem of operators.Nature Machine Intelligence, 3(3):218–229, March 2021.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Learning nonlinear op- erators via deeponet based on the universal approximation theorem of operators.Nature Machine Intelligence, 3(3):218–229, March 2021
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:03.043165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a417ebef-9f8c-4d05-b05c-d0be07180a74 · outbound
This paper cites Neural operator for structural simulation and bridge health monitoring.Computer-Aided Civil and Infrastructure Engineering, 39(6):872–890, 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Neural operator for structural simulation and bridge health monitoring.Computer-Aided Civil and Infrastructure Engineering, 39(6):872–890, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:02.889546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 17d79c4b-90e7-436a-8692-b0725246311e · outbound
This paper cites Laplace neural operator for solving differential equations.Nature Machine Intelligence, 6(6):631–640, June 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Laplace neural operator for solving differential equations.Nature Machine Intelligence, 6(6):631–640, June 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:02.768756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b08ee4c2-348d-4ca4-aa35-aec72b953968 · outbound
This paper cites A causality-deeponet for causal responses of linear dynamical systems, September 2022.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty A causality-deeponet for causal responses of linear dynamical systems, September 2022
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:02.625712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3b8df410-e196-4bf9-99c6-d7a9a0c78dfe · outbound
This paper cites Giovanis, Bowei Li, Seymour M.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Giovanis, Bowei Li, Seymour M
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:02.362878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 96c79d44-1ad7-4259-bce7-80ab76051912 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:02.085682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c98e8caa-4128-4cd5-85b2-183a47422e3d · outbound
This paper cites Deep neu- ral operators can predict the real-time response of floating offshore structures under irregular waves.Computers & Structures, 291:107228, January 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Deep neu- ral operators can predict the real-time response of floating offshore structures under irregular waves.Computers & Structures, 291:107228, January 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:01.910465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3f8ffd91-9d72-41ad-b837-214e0a16b389 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:01.688080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 86acf86d-c35f-4ca4-ade2-41ad9578a753 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:01.514452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0a13609e-a9dd-4bd2-ad33-f637cb4cb8ea · outbound
This paper cites Assessment of deeponet for time dependent reliability analysis of dynamical systems subjected to stochastic loading.Engineering Structures, 270:114811, November 2022.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Assessment of deeponet for time dependent reliability analysis of dynamical systems subjected to stochastic loading.Engineering Structures, 270:114811, November 2022
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:08:01.238719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3eb5ebc6-e74e-40ab-a7e6-956c4833711b · outbound
This paper cites A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data.Computer Methods in Applied Mechanics and Engineering, 393:114778, 2022.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data.Computer Methods in Applied Mechanics and Engineering, 393:114778, 2022
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:56.785725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bb57221-299b-4d20-97ea-c0fa503c1345 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:00.918321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 449587fe-c75c-4ffa-9dc2-0b7062041008 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:00.651331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51ada360-e584-49a7-8042-99a2ecfa7fab · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:08:00.286317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dc3fa130-fffd-4121-a96d-f225d286aa94 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:07:59.986104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fdf3b041-f289-458f-b871-3447521e7595 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:07:59.829368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c0c73d91-d873-4af1-9edc-f3e733a06e5c · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Adam: A Method for Stochastic Optimization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:57.253527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10d25a02-8b49-4147-a5c8-d0fd83d79b96 · outbound
This paper cites Large-scale machine learning with stochastic gradient descent.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Large-scale machine learning with stochastic gradient descent
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:59.648267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa8b13fd-a759-45b4-b68d-647bd3a54a0d · outbound
This paper cites Stochastic gradient descent tricks.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Stochastic gradient descent tricks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:59.456354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d026a9b2-f8aa-4998-b014-6ce89c181d62 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:07:59.368413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 95fd611f-f240-4140-a3a5-37d98eef9b99 · outbound
This paper cites Fisco and H.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Fisco and H
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:59.232100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f1f0827d-fae8-4ffd-8a05-436d3603e8dc · outbound
This paper cites Vibration mechanisms and controls of long-span bridges: A review.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Vibration mechanisms and controls of long-span bridges: A review
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:59.060798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3dce0f7f-0a00-4491-b5b5-770c9fa51c3b · outbound
This paper cites Wojtkiewicz, and Erik A.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Wojtkiewicz, and Erik A
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:58.877380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3e7baa61-8180-4292-8793-61dac3cfee45 · outbound
This paper cites an unresolved cited work.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:07:58.729661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8769ade3-63b6-484f-b095-a0270ca82762 · outbound
This paper cites System identification through nonstationary data using time–frequency blind source separation.Journal of Sound and Vibration, 371:110–131, June 2016.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty System identification through nonstationary data using time–frequency blind source separation.Journal of Sound and Vibration, 371:110–131, June 2016
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:58.628085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e9d9690-2416-49c3-9b9c-8f0bd7270451 · outbound
This paper cites Stratified sampling algorithms for machine learning methods in solving two-scale partial differential equations, May 2024.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Stratified sampling algorithms for machine learning methods in solving two-scale partial differential equations, May 2024
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:58.523713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 91dd1dd4-de2d-49e6-9a7f-22cb96832efc · outbound
This paper cites McClarren.Machine Learning for Engineers: Using Data to Solve Problems for Physical Systems.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty McClarren.Machine Learning for Engineers: Using Data to Solve Problems for Physical Systems
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:58.406754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bca23907-149a-4c6c-bb5a-67d2d42fcce2 · outbound
This paper cites MIT Press, 2016.http://www.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty MIT Press, 2016.http://www
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:57.885979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed95309e-c9ec-4b18-908a-2dc363fc204f · outbound
This paper cites Decoupled weight decay regularization, 2017.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Decoupled weight decay regularization, 2017
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:58.251377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b58e0696-b668-4671-b066-4155457988ee · outbound
This paper cites Modal identification of output-only systems using frequency domain decomposition.Smart Materials and Structures, 10(3):441–445, 2001.
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Modal identification of output-only systems using frequency domain decomposition.Smart Materials and Structures, 10(3):441–445, 2001
Reference 47
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T04:07:58.153038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.