Paper Citation Record · LEDGER

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2605.08454.

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pith.paper-citation-record.v1
2605.08454 v1

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 05c6644e-3e07-4d51-a631-b8f639aee2e7 · outbound

This paper cites editor =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency editor =

Reference 1

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Observation 65fd1cbe-cff4-4d6c-ab6e-2468b5b8895d · outbound

This paper cites and Welling, Max , year = 2022, publisher =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency and Welling, Max , year = 2022, publisher =

Reference 2

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Observation a3cfbb36-8bb6-474e-980e-48631149be7b · outbound

This paper cites Neural Ordinary Differential Equations , booktitle =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Neural Ordinary Differential Equations , booktitle =

Reference 3

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This paper cites Implicit Neural Spatial Representations for Time-Dependent Pdes , booktitle =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Implicit Neural Spatial Representations for Time-Dependent Pdes , booktitle =

Reference 4

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency doi:10.1007/978-1-4612-6333-3 , bibsource =

Reference 5

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.351336Z

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Observation 99e041c0-8291-4bbf-b5c3-6f901aa6385b · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency year = 2018, month = may, edition =

Reference 6

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.231357Z

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Observation e02b3513-5d34-48ce-a9a5-92d4d856da30 · outbound

This paper cites Learning Physics Informed Neural ODEs with Partial Measurements.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning Physics Informed Neural ODEs with Partial Measurements

Reference 7

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.289350Z

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Observation f53e25ed-565a-4a84-809c-baef1de6d378 · outbound

This paper cites Hairer, C.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Hairer, C

Reference 8

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Observation ae2e9020-69ff-4884-a048-865cd036c9c6 · outbound

This paper cites Journal of Approximation Theory , volume =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Journal of Approximation Theory , volume =

Reference 9

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.345670Z

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Observation ede020f7-028e-48b6-a7e0-58bf2c72addd · outbound

This paper cites International Conference on Machine Learning.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency International Conference on Machine Learning

Reference 10

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Observation cc686871-8229-4519-a2e2-b7198a6e82d5 · outbound

This paper cites Siam Review , volume =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Siam Review , volume =

Reference 11

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.395648Z

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Observation d91c786f-c578-47db-a933-a9eb3bc64ed2 · outbound

This paper cites Group Equivariant Fourier Neural Operators for Partial Differential Equations , booktitle =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Group Equivariant Fourier Neural Operators for Partial Differential Equations , booktitle =

Reference 12

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Observation 090f71b4-5abc-4ec7-83de-6289f19f1043 · outbound

This paper cites arXiv , bibsource =:2512.05297 , doi =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency arXiv , bibsource =:2512.05297 , doi =

Reference 13

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Observation c6417a81-670d-4472-b2a1-bd943e18668f · outbound

This paper cites Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations , booktitle =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations , booktitle =

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:31:44.232044Z

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Observation a0fcbe26-bb58-4422-bc61-a4d7b29e6610 · outbound

This paper cites Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems

Reference 15

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Observation 3683d046-e073-4977-aa12-ef73df186460 · outbound

This paper cites editor =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency editor =

Reference 16

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Observation a289b356-3f1d-4f5a-a53c-45159e58da09 · outbound

This paper cites Learning Infinitesimal Generators of Continuous Symmetries from Data , booktitle =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning Infinitesimal Generators of Continuous Symmetries from Data , booktitle =

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:31:44.242254Z

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Observation 28b0bef3-47ba-4b34-9da0-f06f7db68ab8 · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency The Twelfth International Conference on Learning Representations

Reference 18

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 19

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Observation f150ca16-635e-4758-b9d1-1dcdebfd5606 · outbound

This paper cites and Anandkumar, Anima , year = 2021, publisher =.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency and Anandkumar, Anima , year = 2021, publisher =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:31:44.235547Z

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Observation fb4e691b-8c11-4f2f-b2f8-1f854560f4ec · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:19.318957Z

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Generative Latent Neural PDE Solver using Flow Matching

Reference 22

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Unresolved cited work

Reference 23

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Observation bdd738c4-1468-4051-ad48-cd8a3551579d · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency CoRR , volume =

Reference 24

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Observation b6f71140-c6bf-4adc-94fd-4786049ce456 · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Unresolved cited work

Reference 25

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Observation c39a8ed0-b41d-4b20-b99f-e248b1d49df1 · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Reference 26

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.386662Z

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization

Reference 27

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Observation ba1ccd61-d5d0-487c-b2e7-a31d179575af · outbound

This paper cites Advances in Neural Information Processing Systems 38.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Advances in Neural Information Processing Systems 38

Reference 28

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Siam Review , volume =

Reference 29

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Controllable

Reference 30

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Transport Theory and Statistical Physics , volume=

Reference 31

Resolution: verified exact; doi, observed 2026-05-12T03:56:19.274978Z

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency On Second Order Behaviour in Augmented Neural Odes , booktitle =

Reference 32

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Applications of Lie Groups to Differential Equations

Reference 33

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Learning Mesh-Based Simulation with Graph Networks , booktitle =

Reference 34

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Lie Flow

Reference 35

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Raissi, P

Reference 36

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Unresolved cited work

Reference 37

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Consistency Models , booktitle =

Reference 38

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Hamiltonian Normalizing Flows as Kinetic

Reference 39

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Observation e8e16ba8-cb4e-49bd-bbcc-fec2fc03516b · outbound

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Advances in Neural Information Processing Systems 35

Reference 40

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Unresolved cited work

Reference 41

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling

Reference 42

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency bioRxiv : the preprint server for biology , file =

Reference 43

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency The Twelfth International Conference on Learning Representations

Reference 44

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Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency GeoWorld: Geometric World Models

Reference 45

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Pith citing papers

No inbound Pith citation observations are available.