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Paper Citation Record · LEDGER

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics

As of 4 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2603.05385.

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

pith.paper-citation-record.v1
2603.05385 v2

Coverage vector

measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-15T14:33:19.914967Z

measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

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Reference resolution

22 of 22 outbound references displayed

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Outbound references

Observation e8407d01-c575-4b8e-bd9a-4efe4983570d · outbound

This paper cites Nonlinear model predictive control.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Nonlinear model predictive control

Reference 1

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Observation 5b05743e-da97-4299-93a3-2af9cc2f91a2 · outbound

This paper cites Model predictive control: theory, computation, and design.(No Title), 2020.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Model predictive control: theory, computation, and design.(No Title), 2020

Reference 2

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Observation 15272aa6-0f8d-4d06-a76d-eaae120ee42e · outbound

This paper cites Aggressive driving with model predictive path integral control.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Aggressive driving with model predictive path integral control

Reference 3

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Observation 6e1a7afd-0775-45f4-a880-e46ad8d728fa · outbound

This paper cites Model predictive path integral control for agile unmanned aerial vehicles.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Model predictive path integral control for agile unmanned aerial vehicles

Reference 4

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:5a7b0e07fd026a18c09fc39cfd32a95e488b1b06069d81974cdb697e733ebd7c

Observation d1d58c53-6a1c-4bff-967c-b89e6df61b18 · outbound

This paper cites Real-time whole-body control of legged robots with model-predictive path integral control.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Real-time whole-body control of legged robots with model-predictive path integral control

Reference 5

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:b7cad9a398cdce27ea542c7a083a32d75e4c0d9865d1ce0e2a31fcef0612020d

Observation a3ec8ae6-8524-45ac-bda6-00d53e86be81 · outbound

This paper cites Information theoretic mpc for model-based reinforcement learning.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Information theoretic mpc for model-based reinforcement learning

Reference 6

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Observation cecde3a6-c740-4f27-9720-8c17e483126a · outbound

This paper cites On applications of the spectral theory of the koopman operator in dynamical systems and control theory.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics On applications of the spectral theory of the koopman operator in dynamical systems and control theory

Reference 7

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:40547bc87f7faf311c2c4db4f15e496834580cb7be6fd59ae5556ba025118c51

Observation 5fde4af5-662c-4ceb-b046-c50ecdc3c824 · outbound

This paper cites Generalizing koopman theory to allow for inputs and control.SIAM Journal on Applied Dynamical Systems, 17(1):909–930, 2018.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Generalizing koopman theory to allow for inputs and control.SIAM Journal on Applied Dynamical Systems, 17(1):909–930, 2018

Reference 8

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:cd4374d186672506c1d736a1c0b692ca92f043bb2639b0b609d75d69f1070fb4

Observation 72b7e8f6-8f01-4792-9dcf-ba020fb07bfa · outbound

This paper cites Linear identification of nonlinear systems: A lifting technique based on the koopman operator.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Linear identification of nonlinear systems: A lifting technique based on the koopman operator

Reference 9

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:2df110d8d4f1291cf1381edcb2e77cf0c60370604e28b88ef430276c38964539

Observation 6c792cee-2fc2-4f54-ae55-d5e874a3cfb8 · outbound

This paper cites On convergence of extended dynamic mode decomposition to the koopman operator.Journal of Nonlinear Science, 28(2):687–710, 2018.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics On convergence of extended dynamic mode decomposition to the koopman operator.Journal of Nonlinear Science, 28(2):687–710, 2018

Reference 10

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:acefba74a6d3a38741bb1b4ba6b49e0f1213a2e7f1fc221184f6fd13a88a5068

Observation ce374887-74e9-41eb-adce-52b55ccbea41 · outbound

This paper cites Data-driven discovery of koopman eigenfunctions using deep learning.Bulletin of the American Physical Society, 2017.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Data-driven discovery of koopman eigenfunctions using deep learning.Bulletin of the American Physical Society, 2017

Reference 11

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:750b708600a3a7fbb6f67670183d682ecbf5d919065b40ca31e7eb0c9a5ec085

Observation cfc39fbb-e0be-4bef-bf31-d809fb44ddc9 · outbound

This paper cites Deep learning of koopman representation for control.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Deep learning of koopman representation for control

Reference 12

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:b2c1107241769e9180cdb526f8c54ed3b5070b07dfcfce731b77c5c6eab19163

Observation adb7c8e7-31ad-4d08-b0b5-68d26052496d · outbound

This paper cites Deep koopman learning of nonlinear time-varying systems.Automatica, 159:111372, 2024.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Deep koopman learning of nonlinear time-varying systems.Automatica, 159:111372, 2024

Reference 13

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:25d813779a2becb050177751f74efc19f3c8056e69d0d1aeeaa278b635c0d62e

Observation 366746fc-b31a-4a39-b81c-c0c0c3b57d77 · outbound

This paper cites Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018

Reference 14

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:1ede9e3952044b2aa9d6f56cfeeb6269d22c873865ac1e4805f73ad678f3b91a

Observation ea70a9dd-4f60-42ca-b3f2-e4636e570c2e · outbound

This paper cites Heredia, and Shaoshuai Mou.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Heredia, and Shaoshuai Mou

Reference 15

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:c56394d86c9f69f5eab6b9ef8e371d58a653ea269b1a1d75d7497fa8bf6e307b

Observation 94e68a71-99d8-43be-96d7-c26953c4a006 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Model predictive path integral control: From theory to parallel computation

Reference 16

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:c1bc65119da422ac375a2c4046c03b7101c42e1cda8800cef5592c41a3b6dd11

Observation 26232228-6423-45f8-a189-89051f9ef902 · outbound

This paper cites Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry, 36(8):1627–1639, 1964.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry, 36(8):1627–1639, 1964

Reference 17

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Observation df87262a-cfcc-48c8-ba48-aed7537268cd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Adam: A Method for Stochastic Optimization

Reference 18

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:a690a4de75fb521e8d15e405b70b83a4260bf4551e8495c594d2e6d63a51a827

Observation 17096de5-b0de-4835-b9e2-bb79721ce127 · outbound

This paper cites Unitree go1.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Unitree go1

Reference 19

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:fb84e6db0b6d3453e0baee2326204055b0a35767b879cfd1269525c21bce2af1

Observation 02de5a58-7d36-42ab-a33a-99cfae9de4d7 · outbound

This paper cites an unresolved cited work.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-15T14:33:19.914967Z digest=sha256:b99a590f5ecf1a1938be923a60dbebd2a136de45eeea28d157460fbd46d68ff0

Observation 3c3f00d2-752a-4cd9-be2c-05706e28033c · outbound

This paper cites Centroidal dynamics of a humanoid robot.Autonomous robots, 35(2):161–176, 2013.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Centroidal dynamics of a humanoid robot.Autonomous robots, 35(2):161–176, 2013

Reference 21

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Observation 687254a9-0535-400f-8ff7-11753954b640 · outbound

This paper cites Whole-body motion planning with centroidal dynamics and full kinematics.

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics Whole-body motion planning with centroidal dynamics and full kinematics

Reference 22

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