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Paper Citation Record · LEDGER

Koopman-Equivariant Gaussian Processes

As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2502.06645.

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

pith.paper-citation-record.v1
2502.06645 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:54:05.146256Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:17:42.033443Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:58:37.900777Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact12
  • verified fuzzy8
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee2c6e5c-c10d-4351-8d22-14a9d28dc97b · outbound

This paper cites doi: 10.1016/j.cnsns.2021.105833.

Koopman-Equivariant Gaussian Processes doi: 10.1016/j.cnsns.2021.105833

Reference 10

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Source-reported events for the cited work

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Observation da7a8d3e-9beb-4f39-b6ae-76047b1567a2 · outbound

This paper cites Stochastic data-driven model predictive control using Gaussian processes.

Koopman-Equivariant Gaussian Processes Stochastic data-driven model predictive control using Gaussian processes

Reference 11

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Observation 99808861-4693-4178-a12f-8a694a150a7c · outbound

This paper cites an unresolved cited work.

Koopman-Equivariant Gaussian Processes Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 4ccc251c-edf7-48c5-9b5b-2a61d5649301 · outbound

This paper cites an unresolved cited work.

Koopman-Equivariant Gaussian Processes Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0b3c360c-8001-4b28-8713-76dc9f4931a3 · outbound

This paper cites Rates of Convergence for Sparse Variational Gaussian Process Regression.

Koopman-Equivariant Gaussian Processes Rates of Convergence for Sparse Variational Gaussian Process Regression

Reference 16

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local_arxiv, observed 2026-08-08T14:54:06.448838Z

Source-reported events for the cited work

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Observation 7f6b9a3d-ea02-43d0-9b7b-735ef5e7db29 · outbound

This paper cites doi: https://doi.org/10.1016/j.automatica.2017.12.039.

Koopman-Equivariant Gaussian Processes doi: https://doi.org/10.1016/j.automatica.2017.12.039

Reference 18

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doi, observed 2026-08-08T14:54:05.389953Z

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Observation 1ed6e0e4-9715-41f3-bd82-bb5bc4363d74 · outbound

This paper cites Safe reinforcement learning via confidence- based filters.

Koopman-Equivariant Gaussian Processes Safe reinforcement learning via confidence- based filters

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 619b81ed-2029-4f90-9a73-cca9ac1cfa7a · outbound

This paper cites P Cvitanovi´ c, R Artuso, R Mainieri, G Tanner, and G Vattay.Chaos: Classical and Quantum.

Koopman-Equivariant Gaussian Processes P Cvitanovi´ c, R Artuso, R Mainieri, G Tanner, and G Vattay.Chaos: Classical and Quantum

Reference 20

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Observation 3b0ac1fc-031b-47f3-9248-080e302aab50 · outbound

This paper cites doi: https: //doi.org/10.1016/j.physd.2023.134044.

Koopman-Equivariant Gaussian Processes doi: https: //doi.org/10.1016/j.physd.2023.134044

Reference 21

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Observation cea9bf23-82a4-488f-b3b5-b8743f0af6c2 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Koopman-Equivariant Gaussian Processes Efficiently modeling long sequences with structured state spaces

Reference 23

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ec4c2e6a-2447-4190-824f-dc593a66bb27 · outbound

This paper cites Fr¨ ohlich, and Melanie N.

Koopman-Equivariant Gaussian Processes Fr¨ ohlich, and Melanie N

Reference 24

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Observation 01a27a7d-911d-4837-b7b4-37c6b819b28a · outbound

This paper cites doi: 10.1063/5.0094889.

Koopman-Equivariant Gaussian Processes doi: 10.1063/5.0094889

Reference 26

Resolution
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Observation 5c1691b4-af84-4aba-b796-30b55191ac0a · outbound

This paper cites Olav Kallenberg.

Koopman-Equivariant Gaussian Processes Olav Kallenberg

Reference 27

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Observation db5d2c00-e24d-41c9-a250-5464b8fe6ffa · outbound

This paper cites doi: 10.1007/ b98838.

Koopman-Equivariant Gaussian Processes doi: 10.1007/ b98838

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5e26deb4-71af-44d0-99da-7bef31951717 · outbound

This paper cites Jonathan Ko, Daniel J Klein, Dieter Fox, and Dirk Haehnel.

Koopman-Equivariant Gaussian Processes Jonathan Ko, Daniel J Klein, Dieter Fox, and Dirk Haehnel

Reference 30

Resolution
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doi, observed 2026-08-08T14:54:05.313635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3f9a5f53-7e9b-4508-afa5-cfbfca871d23 · outbound

This paper cites doi: 10.1007/s00332-017-9423-0.

Koopman-Equivariant Gaussian Processes doi: 10.1007/s00332-017-9423-0

Reference 32

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Observation 16957469-8d26-416c-8dac-79628d3cf195 · outbound

This paper cites doi: 10.1109/TAC.2020.2978039.

Koopman-Equivariant Gaussian Processes doi: 10.1109/TAC.2020.2978039

Reference 33

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Observation 3e7a301c-ebee-47cb-94f2-d46fd15ed71d · outbound

This paper cites doi: 10.1007/s00233-018-9958-x.

Koopman-Equivariant Gaussian Processes doi: 10.1007/s00233-018-9958-x

Reference 35

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Source-reported events for the cited work

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Observation ad722af9-3af0-468b-bdb9-79963cd0b9a6 · outbound

This paper cites The Signature Kernel.

Koopman-Equivariant Gaussian Processes The Signature Kernel

Reference 36

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Observation b39752e6-5f80-49c6-bf91-136c122d49f4 · outbound

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Koopman-Equivariant Gaussian Processes Unresolved cited work

Reference 37

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 27c857aa-7aac-445b-9354-1713f6d82c1e · outbound

This paper cites Optimal Rates for Regularized Conditional Mean Embedding Learning.

Koopman-Equivariant Gaussian Processes Optimal Rates for Regularized Conditional Mean Embedding Learning

Reference 38

Resolution
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local_arxiv, observed 2026-08-08T14:54:05.992464Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 494cf59f-dcaa-4253-95d1-d26236a9d87d · outbound

This paper cites Bryan Lim and Stefan Zohren.

Koopman-Equivariant Gaussian Processes Bryan Lim and Stefan Zohren

Reference 39

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Observation e33a4e83-ba9d-400d-9921-abf546d1c724 · outbound

This paper cites Kartik Loya, Jake Buzhardt, and Phanindra Tallapragada.

Koopman-Equivariant Gaussian Processes Kartik Loya, Jake Buzhardt, and Phanindra Tallapragada

Reference 40

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Observation f171e3a7-0056-4a30-96ef-822875a873fb · outbound

This paper cites Alexandre Mauroy, Igor Mezi´ c, and Yoshihiko Susuki.The Koopman Operator in Systems and Control , volume 484 of Lecture Notes in Control and Information Sciences.

Koopman-Equivariant Gaussian Processes Alexandre Mauroy, Igor Mezi´ c, and Yoshihiko Susuki.The Koopman Operator in Systems and Control , volume 484 of Lecture Notes in Control and Information Sciences

Reference 41

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Observation 88cbcffa-287b-4fa8-b278-8866f2e09226 · outbound

This paper cites Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms.

Koopman-Equivariant Gaussian Processes Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms

Reference 43

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Observation b8208866-5ef5-4258-8676-715503bdbf7b · outbound

This paper cites Learning Symmetrization for Equivariance with Orbit Distance Minimization.

Koopman-Equivariant Gaussian Processes Learning Symmetrization for Equivariance with Orbit Distance Minimization

Reference 44

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Observation 8d40709f-978e-4d15-9671-817222c88a32 · outbound

This paper cites Exact Multiple-Step Predictions in Gaussian Process- based Model Predictive Control: Observations, Possibilities, and Challenges.

Koopman-Equivariant Gaussian Processes Exact Multiple-Step Predictions in Gaussian Process- based Model Predictive Control: Observations, Possibilities, and Challenges

Reference 45

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Observation c63908ea-d4d5-42fc-bf6e-c5a7c5dbf480 · outbound

This paper cites Thomas Pinder and Daniel Dodd.

Koopman-Equivariant Gaussian Processes Thomas Pinder and Daniel Dodd

Reference 46

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Observation cc75b1b2-8c40-4704-a7f4-779565cd111d · outbound

This paper cites URL https://doi.org/10.21105/joss.04455.

Koopman-Equivariant Gaussian Processes URL https://doi.org/10.21105/joss.04455

Reference 47

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Observation 17401891-f95f-496d-8416-96e67d5b08a8 · outbound

This paper cites Joaquin Qui˜ nonero-Candela and Carl Edward Rasmussen.

Koopman-Equivariant Gaussian Processes Joaquin Qui˜ nonero-Candela and Carl Edward Rasmussen

Reference 48

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Observation 0ff5beca-9f32-4739-aaf5-a8b13a113394 · outbound

This paper cites The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models.

Koopman-Equivariant Gaussian Processes The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models

Reference 49

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local_arxiv, observed 2026-08-08T14:54:05.719841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 83a48428-b36d-408e-9790-18e5d5881b34 · outbound

This paper cites doi: 10.1137/20M1366794.

Koopman-Equivariant Gaussian Processes doi: 10.1137/20M1366794

Reference 50

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Observation 0819fe4d-142b-4120-bf1b-3426ce54310e · outbound

This paper cites Financial time series forecasting with deep learning : A systematic literature review: 2005–2019.

Koopman-Equivariant Gaussian Processes Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

Reference 52

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5c5ca6f8-d7b3-4aeb-baf7-5519c0c5fe48 · outbound

This paper cites doi: 10.1109/TIT.2011.2182033.

Koopman-Equivariant Gaussian Processes doi: 10.1109/TIT.2011.2182033

Reference 53

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raw_fallback, observed 2026-08-08T14:54:05.620317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation aac65c6e-15a3-4caf-9a17-a539eeab70b3 · outbound

This paper cites doi: 10.1214/009053607000000613.

Koopman-Equivariant Gaussian Processes doi: 10.1214/009053607000000613

Reference 54

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doi, observed 2026-08-08T14:54:05.220690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:05.128213Z digest=sha256:560f49df69b32d785663902999f18ee1e133151e9724d36f843e1db09ed53d1d

Observation 5d923000-9c1e-4549-82e8-120db5071a52 · outbound

This paper cites Jack Wang, Aaron Hertzmann, and David J Fleet.

Koopman-Equivariant Gaussian Processes Jack Wang, Aaron Hertzmann, and David J Fleet

Reference 55

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source=pdf_text observed=2026-08-08T14:54:05.132701Z digest=sha256:88e05cb55bec02704ab75774901a1afd60417f465c6bbaa60495e98fce13c087

Observation a91b1bba-2d73-4094-a09f-dd29639adf26 · outbound

This paper cites doi: 10.1007/s00332-019-09567-y.

Koopman-Equivariant Gaussian Processes doi: 10.1007/s00332-019-09567-y

Reference 56

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source=pdf_text observed=2026-08-08T14:54:05.137232Z digest=sha256:c18599039ab211651fab4f03ede846d508daeb71048a400d3facaf6851ea8f92

Observation 79291fb3-5487-41fd-9569-492d11523fee · outbound

This paper cites A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator.

Koopman-Equivariant Gaussian Processes A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator

Reference 57

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local_arxiv, observed 2026-08-08T14:54:05.484552Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:05.141766Z digest=sha256:a00cb6f97f53db67d6c3a0234fd42f147413c0af44e3b5527ee818eafe8deb15

Observation daf05edc-ac05-44d6-a477-7537ef78ec3e · outbound

This paper cites Mauricio ´Alvarez, David Luengo, and Neil D.

Koopman-Equivariant Gaussian Processes Mauricio ´Alvarez, David Luengo, and Neil D

Reference 58

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doi, observed 2026-08-08T14:54:05.185045Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:05.146256Z digest=sha256:b3543187e35379933d06db12f125f8e4d327421611f276b4a234a1d8e9225198

Observation eb1fabb6-c260-41a6-bf77-666cf6807a55 · outbound

This paper cites doi: 10.1098/rsta.1909.0016.

Koopman-Equivariant Gaussian Processes doi: 10.1098/rsta.1909.0016

Reference 1909

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source=pdf_text observed=2026-08-08T14:54:05.074576Z digest=sha256:16c40c33dbbc17983a730199d1e14ffb5ea233f0190c620b48d56146edb17732

Observation 142c9be8-bc54-428f-952b-06d9692db7cf · outbound

This paper cites doi: 10.1073/pnas.17.5.315.

Koopman-Equivariant Gaussian Processes doi: 10.1073/pnas.17.5.315

Reference 1931

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source=pdf_text observed=2026-08-08T14:54:05.025284Z digest=sha256:5ffc2485339ac035d0f7a00f447066ef84a9923ba5bbc5d9159f7fd0ddd4f050

Observation 6865cf87-15ec-45d3-8688-89213e9d8c40 · outbound

This paper cites doi: 10.2307/1990329.

Koopman-Equivariant Gaussian Processes doi: 10.2307/1990329

Reference 1943

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doi, observed 2026-08-08T14:54:05.374159Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:04.984424Z digest=sha256:de39519240a72c308c1b1d0da8a3fe826e798eccdec53754e5650c12dd73b820

Observation ea201309-5d30-4d40-9db6-4b267aec3df6 · outbound

This paper cites doi: 10.1007/978-1-4612-0653-8.

Koopman-Equivariant Gaussian Processes doi: 10.1007/978-1-4612-0653-8

Reference 1997

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source=pdf_text observed=2026-08-08T14:54:04.922957Z digest=sha256:2a4e3297ea0344df5bd90e53954d4a7d7cf20163cb53afec97a4a4661590e366

Observation 02448d62-a52a-437c-a222-7590dc3c951c · outbound

This paper cites Tianshi Chen.

Koopman-Equivariant Gaussian Processes Tianshi Chen

Reference 2008

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source=pdf_text observed=2026-08-08T14:54:04.961633Z digest=sha256:7051e02551777154155f8a65e93357753692060000305c96b4271ea81c4136c0

Observation 47fd909a-8f73-4f8b-b922-d06102826465 · outbound

This paper cites Henrik Kreidler.

Koopman-Equivariant Gaussian Processes Henrik Kreidler

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:54:07.089918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:05.038577Z digest=sha256:8eb63e06400ef3ea92c1be1ca686fdffdac7a5cadb25fdcfe5be3a246516c711

Observation 30f8988e-a09c-4236-a20b-91e786336ffc · outbound

This paper cites doi: 10.1063/1.4772195.

Koopman-Equivariant Gaussian Processes doi: 10.1063/1.4772195

Reference 2012

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source=pdf_text observed=2026-08-08T14:54:04.947120Z digest=sha256:a108984943acd2f907c57c12d659f989488e708da5f65e0b179648cc57dcd305

Observation 1cf60561-4b48-4df3-81ea-43f049103ad3 · outbound

This paper cites V ´ ıctor Garcia Satorras, Emiel Hoogeboom, and Max Welling.

Koopman-Equivariant Gaussian Processes V ´ ıctor Garcia Satorras, Emiel Hoogeboom, and Max Welling

Reference 2013

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source=pdf_text observed=2026-08-08T14:54:05.114913Z digest=sha256:7740e2e3ce25625b743d0fc882dd3b18b6692f34099f6ff138e949326225f141

Observation 273f2e93-1321-4b68-ba93-eb9013a30385 · outbound

This paper cites doi: 10.1146/annurev-economics-080213-041213.

Koopman-Equivariant Gaussian Processes doi: 10.1146/annurev-economics-080213-041213

Reference 2014

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:04.997895Z digest=sha256:442244063e046fbe56ae72a74615adf58d1bc15e4163294c7674b303826ab65b

Observation d439ea79-df40-40fb-b652-bb83369f1fd3 · outbound

This paper cites Felix Berkenkamp, Matteo Turchetta, Angela Schoellig, and Andreas Krause.

Koopman-Equivariant Gaussian Processes Felix Berkenkamp, Matteo Turchetta, Angela Schoellig, and Andreas Krause

Reference 2015

Resolution
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raw_fallback, observed 2026-08-08T14:54:06.695570Z

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source=pdf_text observed=2026-08-08T14:54:04.912761Z digest=sha256:cf5883e89353cd62eaeb1efe56f33ab3e67886d73d41b8f73eeab0151c2a92fd

Observation d09b6a3a-349c-48f0-8e6d-d036a09bdeb4 · outbound

This paper cites doi: https://doi.org/10.1016/j.acha.2015.03.002.

Koopman-Equivariant Gaussian Processes doi: https://doi.org/10.1016/j.acha.2015.03.002

Reference 2016

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source=pdf_text observed=2026-08-08T14:54:04.918095Z digest=sha256:7bb363adf3063af4a45843913e11fd98d2b00bc48f6b893cc2207b0aa0e5d169

Observation 23a4fcfd-281f-4c9e-b91f-be78c0b2be10 · outbound

This paper cites Gosafe: Globally optimal safe robot learning.

Koopman-Equivariant Gaussian Processes Gosafe: Globally optimal safe robot learning

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:54:07.159737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:04.893346Z digest=sha256:34af4e8e761b0286d929486952cd227b6801ff4273eba440e5b508f400c2f188

Observation 18e20b13-e3b2-4d60-89b3-d52fcaa77200 · outbound

This paper cites Schoellig.

Koopman-Equivariant Gaussian Processes Schoellig

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:54:07.144675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:04.907603Z digest=sha256:d0cb91686851fa84cb6c22ef4d6bf728d7346b87d9c47a57cedbd56ee223a031

Observation 2cc93b85-e1c6-461d-97d3-cd380382372f · outbound

This paper cites doi: 10.1017/9781108380690.

Koopman-Equivariant Gaussian Processes doi: 10.1017/9781108380690

Reference 2019

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source=pdf_text observed=2026-08-08T14:54:04.942494Z digest=sha256:2dcedb678df60b613691df18fd8b84e9eb9aa0ac4630a78298ca3bddef9ff4cb

Observation ec8d9fc8-d077-4b51-8f29-736805a6ab60 · outbound

This paper cites doi: https://doi.org/10.1016/j.physd.2020.132520.

Koopman-Equivariant Gaussian Processes doi: https://doi.org/10.1016/j.physd.2020.132520

Reference 2020

Resolution
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raw_fallback, observed 2026-08-08T14:54:07.012566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T14:54:04.882152Z digest=sha256:659c7db2491306994d33eeae0736273abdaa537c5e10336884debe2d9216b430

Observation c2e18f07-3139-4e0a-a058-8627d77f17d0 · outbound

This paper cites Thomas Beckers and Sandra Hirche.

Koopman-Equivariant Gaussian Processes Thomas Beckers and Sandra Hirche

Reference 2021

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source=pdf_text observed=2026-08-08T14:54:04.898096Z digest=sha256:6e9049aff9fd5affd6ae09453ec42095ac6a40e59a22dfbc5cef8e42471cab6f

Observation c706754c-1537-4ada-99b6-3fd3609234bb · outbound

This paper cites Mikhail Belkin.

Koopman-Equivariant Gaussian Processes Mikhail Belkin

Reference 2022

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source=pdf_text observed=2026-08-08T14:54:04.902972Z digest=sha256:e3a36737a235b21242cc29c04fec3e423607c9268dcac13afcdb8e8d588d3e77

Observation a6965dd3-51c4-4e18-8707-355c5e86f8c7 · outbound

This paper cites Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, and Seunghoon Hong.

Koopman-Equivariant Gaussian Processes Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, and Seunghoon Hong

Reference 2023

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source=pdf_text observed=2026-08-08T14:54:05.016163Z digest=sha256:bbf65f85886cca16c6c295b32de6593f9298c89fdff85614d2c5319577a2c6c9

Observation 2a489b19-c1cf-4d83-a484-7c5832749bc3 · outbound

This paper cites Safe Exploration Using Bayesian World Models and Log-Barrier Optimization.

Koopman-Equivariant Gaussian Processes Safe Exploration Using Bayesian World Models and Log-Barrier Optimization

Reference 2024

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source=pdf_text observed=2026-08-08T14:54:04.887777Z digest=sha256:0d6868cc4a5c9ac23dfa75caf22e45ffc72eb5d5050f47c4ce81ecee64c5d145

Pith citing papers

Observation 5a2c1e1a-2fed-4cf3-abe0-761288092689 · inbound

A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems cites this paper.

A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems Koopman-Equivariant Gaussian Processes

Reference 7

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arxiv_id, observed 2026-07-03T15:58:37.902268Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:17:42.033443Z digest=sha256:eeae05287214ecd7db4add0c21bf1758d1a7223e581e6626c9dfbcaa3c68324b