Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws | Paper Citation Record

Observation 21fe54c1-e3d0-4d2c-ae7f-8a743d7c22e4 · outbound

This paper cites Turbulence and the dynamics of coherent structures part III: Dy- namics and scaling.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Turbulence and the dynamics of coherent structures part III: Dy- namics and scaling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6055c1-71c0-4a49-b739-03ec67647c74 · outbound

This paper cites Lumley, and Emily Stone.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Lumley, and Emily Stone

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d12f93-8efc-4b41-980f-129b6c72f800 · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws A survey of projection-based model reduction methods for parametric dynamical systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226be14e-9edb-4c60-8d3f-873ebda2a4b8 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4085c02-7422-4b80-b763-91f48815a2e0 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78b89306-ad95-486c-b757-3f28b6ee544e · outbound

This paper cites Adjacency-based, non-intrusive model reduction for vortex-induced vibrations.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Adjacency-based, non-intrusive model reduction for vortex-induced vibrations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83552e5d-c97a-471b-bd12-713a1c8f4ef5 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe3de73-3b93-4c44-b4bb-e521049c66d4 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa9d5e2-e953-45b9-83fa-b844155194b7 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde9ba33-e46b-4ebc-9069-214778e358bf · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation the- orem of operators.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Learning nonlinear operators via DeepONet based on the universal approximation the- orem of operators

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b88053f-32b9-43bd-9f0e-cfe62ebd61db · outbound

This paper cites Fries, Xiaolong He, and Youngsoo Choi.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Fries, Xiaolong He, and Youngsoo Choi

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c83943-049f-48a2-9894-35b8e3ff9e2d · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45eb7b0d-34ae-4160-8ac6-1c62129eb7c0 · outbound

This paper cites A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde5806b-1f13-4da4-919d-f1fe90c20b84 · outbound

This paper cites Southworth, and Marc L.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Southworth, and Marc L

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbab236d-0e94-4a76-aea8-0c558545da75 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b3a184-0bec-4fe8-8186-5510a58f226d · outbound

This paper cites Plasma surrogate modelling using fourier neural opera- tors.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Plasma surrogate modelling using fourier neural opera- tors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2203edd-2214-4358-adf7-4f0d44ee087e · outbound

This paper cites Carlberg.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Carlberg

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a63e7e66-ade9-4a57-b9d3-9f56496dddcb · outbound

This paper cites A fast and ac- curate physics-informed neural network reduced order model with shallow masked au- toencoder.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws A fast and ac- curate physics-informed neural network reduced order model with shallow masked au- toencoder

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd9290e-e7d1-4c56-a43c-4e703ad25702 · outbound

This paper cites Chen, Jinxu Xiang, Dong H.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Chen, Jinxu Xiang, Dong H

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ee91b8-881a-4b9b-b5ea-669577640c80 · outbound

This paper cites Kara, and Yongjie J.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Kara, and Yongjie J

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8965b1d-3f9c-4a46-93a8-f9739f3ce402 · outbound

This paper cites Keo Springer, and Kyle T.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Keo Springer, and Kyle T

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bfc70f5-9158-459a-9784-894970e26d6f · outbound

This paper cites Aslam, and Marc L.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Aslam, and Marc L

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7af6343d-13c1-4b97-a121-4032f4b48868 · outbound

This paper cites Reduced-order modeling for parameterized PDEs via implicit neural representations.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Reduced-order modeling for parameterized PDEs via implicit neural representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2dfefd-dbd3-4bdd-9355-c76856e0c241 · outbound

This paper cites tlasdi: Thermodynamics-informed latent space dynamics identiﬁcation.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws tlasdi: Thermodynamics-informed latent space dynamics identiﬁcation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6340a0-8279-4204-8dc5-86284d5ea6af · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27baebfe-1537-4d1e-971a-ad40c259ee36 · outbound

This paper cites Approximate bayesian neural operators: Uncertainty quantiﬁcation for para- metric PDEs.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Approximate bayesian neural operators: Uncertainty quantiﬁcation for para- metric PDEs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10aaa92-a900-4738-9e34-3fd9d47c9b43 · outbound

This paper cites B-deeponet: An enhanced bayesian deeponet for solving noisy parametric pdes using accelerated replica exchange sgld.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws B-deeponet: An enhanced bayesian deeponet for solving noisy parametric pdes using accelerated replica exchange sgld

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a028865a-0160-4418-a77d-d9419a7eedd0 · outbound

This paper cites Randomized prior wavelet neural operator for uncertainty quantiﬁcation.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Randomized prior wavelet neural operator for uncertainty quantiﬁcation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c73f04-fbc0-442b-963a-8e461f5540aa · outbound

This paper cites Psaros, and George E.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Psaros, and George E

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51907f9f-36df-4efa-b661-7da5c0dd281d · outbound

This paper cites Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2017b4c5-6966-4393-94f6-a93675e998cd · outbound

This paper cites Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4bf4cb-abcb-4747-8bf8-b10d0fe463e6 · outbound

This paper cites Calibrated uncertainty quantiﬁcation for operator learning via conformal prediction.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Calibrated uncertainty quantiﬁcation for operator learning via conformal prediction

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572dc669-4c20-44ce-bb1e-f659df8a65e0 · outbound

This paper cites Conformalized-deeponet: A distribution-free framework for uncertainty quantiﬁcation in deep operator networks.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Conformalized-deeponet: A distribution-free framework for uncertainty quantiﬁcation in deep operator networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 725527f0-de50-40ad-af85-2793a1bc9e6b · outbound

This paper cites Probabilistic neural operators for functional uncertainty quantiﬁcation.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Probabilistic neural operators for functional uncertainty quantiﬁcation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ac0c35-558d-4b1a-aba0-c884e327f15a · outbound

This paper cites Neural operator induced gaus- sian process framework for probabilistic solution of parametric partial diﬀerential equa- tions.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Neural operator induced gaus- sian process framework for probabilistic solution of parametric partial diﬀerential equa- tions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef33319-a8a3-4789-9a28-fad0f78442b7 · outbound

This paper cites Towards gaussian process for operator learning: An uncertainty aware resolution independent operator learning al- gorithm for computational mechanics.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Towards gaussian process for operator learning: An uncertainty aware resolution independent operator learning al- gorithm for computational mechanics

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e1d5ed1-6993-4854-aad4-cd9ebe034f7c · outbound

This paper cites Operator learning with gaussian processes.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Operator learning with gaussian processes

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a901cf-f0a4-4246-acff-167dcb13d55c · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc97f80-d28c-40d1-ac91-02540e61be86 · outbound

This paper cites Nature Communications, 15:10416, 2024.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Nature Communications, 15:10416, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e00b7b-23db-4015-9c5e-5984204d3153 · outbound

This paper cites Kingma and Max Welling.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Kingma and Max Welling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6acbb87-fd2c-4ed2-9f8f-3d93ccac82be · outbound

This paper cites Learning in latent spaces improves the predictive accuracy of deep neural operators.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Learning in latent spaces improves the predictive accuracy of deep neural operators

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d13359-ac5f-47db-8b87-85ac00d87f8d · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Approximation by superpositions of a sigmoidal function

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95e9140c-988a-4855-ac5d-fa90da4a1588 · outbound

This paper cites Multilayer feedforward net- works are universal approximators.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Multilayer feedforward net- works are universal approximators

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76cb4473-23ce-48f9-965b-06f8c8942d64 · outbound

This paper cites DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6465e504-1f26-4bc8-839a-034258bdf173 · outbound

This paper cites Ln3diﬀ++: Scalable latent neural ﬁelds diﬀusion for speedy 3d generation.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Ln3diﬀ++: Scalable latent neural ﬁelds diﬀusion for speedy 3d generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abcc9318-92bb-462b-aa64-d5ee0178ba81 · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws beta-V AE: Learning basic visual concepts with a constrained variational framework

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437c1735-d390-49f9-975c-b87fa962aed9 · outbound

This paper cites Karniadakis.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Karniadakis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe9f44d-9d27-4eaf-a773-0e202cd52487 · outbound

This paper cites Representation of divergence-free vector ﬁelds.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Representation of divergence-free vector ﬁelds

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4842387b-1221-4477-9ee5-e1a822f1d77d · outbound

This paper cites Kelliher.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Kelliher

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f41f1fc-ca4b-4eb2-bcf2-e6d807a85d25 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3150e748-01ca-496e-8759-d4058aa5a6c4 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81870324-e7be-4c3c-b8e0-270d56b7fd12 · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02e3835-9714-4d5f-a579-626caecce31f · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da8442d-f942-4c07-a99a-8442262e72e0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Adam: A Method for Stochastic Optimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2351e2f4-397e-45d1-a7ca-6debcccd2b9e · outbound

This paper cites Decoupled Weight Decay Regularization.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Decoupled Weight Decay Regularization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa6bbc4-bb00-4b02-80fc-5c7c4279971c · outbound

This paper cites Eﬃcient implementation of weighted ENO schemes.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Eﬃcient implementation of weighted ENO schemes

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1e71f2-5d9e-4a52-a48a-b0d642d10744 · outbound

This paper cites Eﬃcient implementation of essentially non-oscillatory shock-capturing schemes.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Eﬃcient implementation of essentially non-oscillatory shock-capturing schemes

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc1aec3-8ea5-40f2-a30a-01f8787780fb · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Score-Based Generative Modeling through Stochastic Differential Equations

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30b2f9f-60ad-45f2-bca9-d93340437dae · outbound

This paper cites an unresolved cited work.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers