Paper Citation Record · LEDGER

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2506.08475.

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

pith.paper-citation-record.v1
2506.08475 v1

Coverage vector

measured 56 of 56 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation e0bc1572-25b5-41e6-8534-76a7a0d808cf · outbound

This paper cites Verification and validation in computational fluid dynamics,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Verification and validation in computational fluid dynamics,

Reference 1

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Observation 70e7a1a8-05d4-4e8b-917c-940b6b70ccc3 · outbound

This paper cites Thijssen, Computational physics.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Thijssen, Computational physics

Reference 2

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Observation 208d016d-8e53-41c3-965d-1d94ff40258a · outbound

This paper cites Bondeson, T.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Bondeson, T

Reference 3

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Observation fe18fe32-a60d-41d8-be4e-ff56b15a9fa0 · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Unresolved cited work

Reference 4

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Observation e7e92e5e-692a-47a6-8f94-e59595ebc051 · outbound

This paper cites Characterising the digital twin: A systematic literature review,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Characterising the digital twin: A systematic literature review,

Reference 5

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This paper cites Review of digital twin about concepts, technologies, and industrial applications,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Review of digital twin about concepts, technologies, and industrial applications,

Reference 6

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Observation 1dd0894d-b463-4cdd-83cf-ab8bd5a4eebf · outbound

This paper cites Topology optimization approaches: A comparative review,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Topology optimization approaches: A comparative review,

Reference 7

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Observation 607943cc-d42c-4446-98e6-127477a91b6f · outbound

This paper cites A dual mesh method with adaptivity for stress-constrained topology optimization,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A dual mesh method with adaptivity for stress-constrained topology optimization,

Reference 8

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Observation 2821b63f-b0db-42f7-b117-a1b2c7498971 · outbound

This paper cites Non-linear model reduction for uncertainty quantification in large-scale inverse problems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Non-linear model reduction for uncertainty quantification in large-scale inverse problems,

Reference 9

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Observation a1f7c942-0289-44ac-9bc0-d45533e0deb9 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applica- tions and challenges,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A review of uncertainty quantification in deep learning: Techniques, applica- tions and challenges,

Reference 10

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Observation a27fe2f0-ba65-4836-ba0a-e35d9c47dafd · outbound

This paper cites The proper orthogonal decomposition in the analysis of turbulent flows,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems The proper orthogonal decomposition in the analysis of turbulent flows,

Reference 11

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Observation 8b2c1bc7-f8b5-49a6-b99a-7befae82ce12 · outbound

This paper cites Reduced basis approximation and a posteriori error estimation for parametrized partial differential equations,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Reduced basis approximation and a posteriori error estimation for parametrized partial differential equations,

Reference 12

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Observation e830c79f-f227-4d99-99ae-52cb55d79f40 · outbound

This paper cites Component-wise reduced order model lattice-type structure design,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Component-wise reduced order model lattice-type structure design,

Reference 13

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Observation 267652e5-2111-4fdb-8711-4ab894c526fc · outbound

This paper cites LaSDI: Parametric latent space dynamics identification,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems LaSDI: Parametric latent space dynamics identification,

Reference 14

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Observation d02508fc-d45b-428e-b782-17cc33aee3e9 · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Reducing the dimensionality of data with neural networks,

Reference 15

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Observation 462edc6c-82be-47f7-bf6c-05dc61bbb668 · outbound

This paper cites Latent-space dynamics for reduced deformable simulation,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Latent-space dynamics for reduced deformable simulation,

Reference 16

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Observation 6a156be2-8418-4a4b-81e6-c9c6c9addb31 · outbound

This paper cites Model reduction of dynamical systems on nonlinear manifolds us- ing deep convolutional autoencoders,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Model reduction of dynamical systems on nonlinear manifolds us- ing deep convolutional autoencoders,

Reference 17

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Observation f239e42d-52c9-466f-9d8a-636ec7671dee · outbound

This paper cites A fast and accurate physics- informed neural network reduced order model with shallow masked autoencoder,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A fast and accurate physics- informed neural network reduced order model with shallow masked autoencoder,

Reference 18

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Observation 412d1d30-7161-491d-9396-972cfafe0eaa · outbound

This paper cites Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders,

Reference 19

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Observation 05adb8a5-15d0-40b7-8da0-92c8392bae1c · outbound

This paper cites Parameterized neural ordinary differential equations: Applications to computational physics problems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Parameterized neural ordinary differential equations: Applications to computational physics problems,

Reference 20

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Observation 0f7a5f39-9350-4548-a415-01968874984a · outbound

This paper cites Distilling free-form natural laws from experimental data,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Distilling free-form natural laws from experimental data,

Reference 21

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Observation 5e9ed511-8559-48fc-8af7-4127b07f202c · outbound

This paper cites Discovering governing equa- tions from data by sparse identification of nonlinear dynamical systems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Discovering governing equa- tions from data by sparse identification of nonlinear dynamical systems,

Reference 22

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Observation b9e22fc2-41b7-4fb7-9526-eb1db2b65405 · outbound

This paper cites Data-driven operator inference for nonintrusive projection- based model reduction,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Data-driven operator inference for nonintrusive projection- based model reduction,

Reference 23

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This paper cites Weak sindy: Galerkin-based data-driven model selection,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Weak sindy: Galerkin-based data-driven model selection,

Reference 24

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Observation 33c678bc-3499-40fe-86fa-7c6c7f008190 · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Weak sindy for partial differential equations,

Reference 25

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Observation 21074ebd-f540-4411-ad77-66f610298a44 · outbound

This paper cites Data-driven discovery of coordinates and governing equations,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Data-driven discovery of coordinates and governing equations,

Reference 26

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Observation f090651d-9be8-4e72-9c95-224333a55129 · outbound

This paper cites Lift & learn: Physics-informed machine learning for large-scale nonlinear dynamical systems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Lift & learn: Physics-informed machine learning for large-scale nonlinear dynamical systems,

Reference 27

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Observation 825c3e62-31ea-44df-b6ec-964c0a1791ee · outbound

This paper cites Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms,

Reference 28

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Observation 6d00172e-cc80-4cda-adea-4ce185a6682a · outbound

This paper cites gLaSDI: Parametric physics- informed greedy latent space dynamics identification,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems gLaSDI: Parametric physics- informed greedy latent space dynamics identification,

Reference 29

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Observation 2794ab0e-a5b0-4ae1-a769-b1ac261c7fc1 · outbound

This paper cites GPLaSDI: Gaussian process- based interpretable latent space dynamics identification through deep autoencoder,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems GPLaSDI: Gaussian process- based interpretable latent space dynamics identification through deep autoencoder,

Reference 30

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Observation d2d2ecad-f4e5-45d1-ad33-b3ff92c6b37c · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Weak-form latent space dy- namics identification,

Reference 31

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Observation 58957549-061f-4128-ac8f-c9d919f730ff · outbound

This paper cites Physics-informed active learn- ing with simultaneous weak-form latent space dynamics identification,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Physics-informed active learn- ing with simultaneous weak-form latent space dynamics identification,

Reference 32

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Observation 2e8f7209-59c6-4179-a50a-90b6a5b3807b · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems TLaSDI: Thermodynamics-informed latent space dynamics identification,

Reference 33

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Observation 111b61d8-591e-42d4-80c5-a94438cc2ae8 · outbound

This paper cites Dynamics and thermodynamics of complex fluids. i. develop- ment of a general formalism,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Dynamics and thermodynamics of complex fluids. i. develop- ment of a general formalism,

Reference 34

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Unresolved cited work

Reference 35

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Observation e6c7aaaa-e3eb-446d-8b7e-d3072245c8a2 · outbound

This paper cites GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems,

Reference 36

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Observation 0fc85f0e-4840-4b39-81fd-37756c0eb0cb · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Hypernetworks,

Reference 37

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A paradigm for joined hamiltonian and dissipative systems,

Reference 38

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This paper cites Thoughts on brackets and dissipation: Old and new,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Thoughts on brackets and dissipation: Old and new,

Reference 39

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Observation 6e7b1dd1-56e1-4272-89db-e34a358dea71 · outbound

This paper cites Energetically consistent model reduction for metriplectic systems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Energetically consistent model reduction for metriplectic systems,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.272191Z

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Observation a16b7dad-f4c1-4cfd-815e-cc52cabfd585 · outbound

This paper cites Machine learning structure preserving brackets for forecasting irreversible processes,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Machine learning structure preserving brackets for forecasting irreversible processes,

Reference 41

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Observation 5117659a-ef23-47fa-a56e-80542638644f · outbound

This paper cites Reversible and irreversible bracket-based dynamics for deep graph neural networks,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Reversible and irreversible bracket-based dynamics for deep graph neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.240706Z

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Observation 74f2d6e1-5a31-40e2-9928-4995c2adc3d5 · outbound

This paper cites Efficiently parameterized neural metriplec- tic systems,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Efficiently parameterized neural metriplec- tic systems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.225536Z

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Observation 16e51a3a-3af2-4b89-b86d-4398ca485797 · outbound

This paper cites A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.210364Z

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Observation a473b4ee-21d6-45f5-b7e1-c4c66c4462ff · outbound

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Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Unresolved cited work

Reference 45

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Observation a56759ca-fd4d-4299-b579-e5649213b513 · outbound

This paper cites A relativistic two-stream instability in an extremely low-density plasma,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A relativistic two-stream instability in an extremely low-density plasma,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.177428Z

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Observation 1843871e-81f5-426d-97e8-6e8dc704ca31 · outbound

This paper cites Efficient neural architecture search via parameters sharing,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Efficient neural architecture search via parameters sharing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.159226Z

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Observation 4fbcd47a-d5e9-4651-96f3-36c59510f0cb · outbound

This paper cites A comprehensive survey of neural architecture search: Challenges and solutions,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A comprehensive survey of neural architecture search: Challenges and solutions,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.141388Z

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Observation ceefc858-788b-4aec-8ec7-231f9a823464 · outbound

This paper cites an unresolved cited work.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:16:07.124979Z

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Observation fb2447bc-1f0c-4002-90ad-6014f209d47d · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:16:06.807603Z

Source-reported events for the cited work

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Observation fd8dcd89-54c6-4acc-8438-a2e838caaf30 · outbound

This paper cites A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:16:07.109339Z

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Observation e8a57ae2-2074-4025-8f01-618e778e1ee4 · outbound

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

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 52

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Observation f7b531ae-1fc7-4b7d-ace6-a6352cb5d4d9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Adam: A Method for Stochastic Optimization

Reference 53

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 54

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Observation 303ebcfb-fc55-49ea-be05-20931eaeeeb4 · outbound

This paper cites Efficient implementation of weighted ENO schemes,.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Efficient implementation of weighted ENO schemes,

Reference 55

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Observation dca3f841-8a94-40bf-9795-a12ad3e1e3fe · outbound

This paper cites A.4.1 One-dimensional Burgers’ Equation This section summarizes the implementation details corresponding to the results in Section 3.1.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems A.4.1 One-dimensional Burgers’ Equation This section summarizes the implementation details corresponding to the results in Section 3.1

Reference 56

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Pith citing papers

Observation e4b2ecbc-a02d-4f3d-9412-8249376fbec8 · inbound

Variational Rank Reduction Autoencoders for Generative Thermal Design cites this paper.

Variational Rank Reduction Autoencoders for Generative Thermal Design Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems

Reference 50

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