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Paper Citation Record · LEDGER

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.19980.

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

pith.paper-citation-record.v1
2604.19980 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T01:41:48.328530Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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  • verified fuzzy33
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc1ecb5b-1733-4283-a123-181690d18cb6 · outbound

This paper cites an unresolved cited work.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Unresolved cited work

Reference 1

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Observation 2a1f67f5-dc7e-4074-890b-aea8b09a8613 · outbound

This paper cites Model predictive control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Model predictive control

Reference 2

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Observation 057c3139-5eef-4178-9e2f-bea077f22118 · outbound

This paper cites Anymal-a highly mobile and dynamic quadrupedal robot.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Anymal-a highly mobile and dynamic quadrupedal robot

Reference 3

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Observation be1745a9-fd74-4f36-bbb9-86c3e35e289a · outbound

This paper cites Reinforcement learning in continuous time and space.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Reinforcement learning in continuous time and space

Reference 4

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Observation 1065d114-968f-45d8-9394-2307b86e6054 · outbound

This paper cites Neural network modeling and an extended dmc algorithm to control nonlinear systems.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Neural network modeling and an extended dmc algorithm to control nonlinear systems

Reference 5

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Observation 7dfafab8-d56a-4793-8711-e5d713e36362 · outbound

This paper cites Real-time dynamic control of an industrial manipulator using a neural network-based learning controller.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Real-time dynamic control of an industrial manipulator using a neural network-based learning controller

Reference 6

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Observation 24295ec5-ade8-490a-a20f-39f47ee05e39 · outbound

This paper cites Model predictive control using neural networks.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Model predictive control using neural networks

Reference 7

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Source-reported events for the cited work

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Observation 59fd0b4a-e503-49cf-a9cd-b9d4e0fa38a0 · outbound

This paper cites End-to-end training of deep visuomotor policies.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems End-to-end training of deep visuomotor policies

Reference 8

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verified fuzzy
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Source-reported events for the cited work

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Observation f6f31123-880a-4394-9193-1149a9f22901 · outbound

This paper cites Learning to control a low-cost manipulator using data-efficient reinforcement learning.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Learning to control a low-cost manipulator using data-efficient reinforcement learning

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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Observation a30c01dd-f731-4735-a0fe-efae7d383acf · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 10

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Source-reported events for the cited work

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Observation 4cdb0aa1-5058-43ea-94e1-bfa56af270fb · outbound

This paper cites Model predictive inferential control of neural state-space models for autonomous vehicle motion planning.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Model predictive inferential control of neural state-space models for autonomous vehicle motion planning

Reference 11

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Observation 2d61c79b-956d-4c02-beea-d66fa9d1f633 · outbound

This paper cites An approach to stability criteria of neural-network control systems.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems An approach to stability criteria of neural-network control systems

Reference 12

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Observation 2245bbc4-c99d-4f4d-87b6-f52a02b1c1b5 · outbound

This paper cites Survey of model-based reinforce- ment learning: Applications on robotics.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Survey of model-based reinforce- ment learning: Applications on robotics

Reference 13

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Observation 0aaa913c-0ef9-4734-9c1e-b37012890020 · outbound

This paper cites Hamiltonian systems and transformation in hilbert space.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Hamiltonian systems and transformation in hilbert space

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c79e9ae6-6670-4aca-82a3-d631a1f9fcb8 · outbound

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

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems On applications of the spectral theory of the koopman operator in dynamical systems and control theory

Reference 15

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Source-reported events for the cited work

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Observation 10232157-212b-4051-a105-392b0bd62e87 · outbound

This paper cites Dynamic mode decom- position with control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Dynamic mode decom- position with control

Reference 16

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Source-reported events for the cited work

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Observation b516219c-e3a8-4a7d-8fd9-a5455a72b08c · outbound

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

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Linear identification of nonlinear systems: A lifting technique based on the koopman operator

Reference 17

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verified fuzzy
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Source-reported events for the cited work

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Observation 15bbe7c5-a4e3-44b6-8ac3-d7b4d7416f72 · outbound

This paper cites On convergence of extended dynamic mode decomposition to the koopman operator.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems On convergence of extended dynamic mode decomposition to the koopman operator

Reference 18

Resolution
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Source-reported events for the cited work

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Observation b04fd333-7e39-4f78-8b4c-eb4e9f5ce80f · outbound

This paper cites Generalizing koopman theory to allow for inputs and control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Generalizing koopman theory to allow for inputs and control

Reference 19

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Source-reported events for the cited work

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Observation 8c0a48ff-32c0-4dbe-82a2-fe96a12764ad · outbound

This paper cites Data-driven discovery of koopman eigenfunctions using deep learning.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Data-driven discovery of koopman eigenfunctions using deep learning

Reference 20

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verified fuzzy
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Source-reported events for the cited work

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Observation fd6c33a0-7f13-4d45-b52b-5ddab4ac25ae · outbound

This paper cites Deep dynamical modeling and control of unsteady fluid flows.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Deep dynamical modeling and control of unsteady fluid flows

Reference 21

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Source-reported events for the cited work

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Observation 2c00299c-2073-4468-a1c6-43307a362cc7 · outbound

This paper cites Learning deep neural network representations for koopman operators of nonlinear dynamical systems.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Learning deep neural network representations for koopman operators of nonlinear dynamical systems

Reference 22

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Source-reported events for the cited work

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Observation d1fa601c-6d0e-43e7-9010-e47da158f76c · outbound

This paper cites Deep learning for universal linear embeddings of nonlinear dynamics.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Deep learning for universal linear embeddings of nonlinear dynamics

Reference 23

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Source-reported events for the cited work

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Observation 83a26e8b-c100-4be1-82f7-d6e0d3744a4a · outbound

This paper cites Deep learning of koopman representa- tion for control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Deep learning of koopman representa- tion for control

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3fe224f1-1e97-4a20-af61-f6954fcdb2f3 · outbound

This paper cites Diffeomorphically Learning Stable Koopman Operators.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Diffeomorphically Learning Stable Koopman Operators

Reference 25

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Observation 345fcffa-4908-4574-ab66-35e594bb6c93 · outbound

This paper cites Online dynamic mode decomposition for time-varying systems.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Online dynamic mode decomposition for time-varying systems

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 59499de5-108b-4011-a46e-c6b2c5449c4d · outbound

This paper cites Deep koopman learning of nonlinear time-varying systems.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Deep koopman learning of nonlinear time-varying systems

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6a389dfe-8125-4e43-ac81-5d95170c943d · outbound

This paper cites Koopman global linearization of contact dynamics for robot locomotion and manipulation enables elaborate control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Koopman global linearization of contact dynamics for robot locomotion and manipulation enables elaborate control

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7f541859-bb75-4f02-99ed-82cf847cbf99 · outbound

This paper cites Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control

Reference 29

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raw_fallback, observed 2026-05-23T09:05:32.224067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cf873f24-060b-4275-ac2c-a0f1cc8c0938 · outbound

This paper cites Actor-critic–type learning algorithms for markov decision processes.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Actor-critic–type learning algorithms for markov decision processes

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ae2a2098-dcee-4e52-bf08-436bd2d86377 · outbound

This paper cites Continuous control with deep reinforcement learning.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Continuous control with deep reinforcement learning

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7a85884c-d781-4eac-9270-11e576977cf7 · outbound

This paper cites On the theory of the brownian motion.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems On the theory of the brownian motion

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:4159671e361b66d05dc34704b5b605042fcfb30eb6213c1bd23f7b9e6eff8ddf

Observation 023708b5-de47-40c5-a90f-2339f2132c69 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Playing Atari with Deep Reinforcement Learning

Reference 33

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local_arxiv, observed 2026-05-11T13:26:05.778200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:544b2a55d86b1440ca5d3fe4288c74c5e7d790c64d35c52b2b359648fdad4770

Observation 6e7e6f95-c3c1-48bb-bf7d-1176743e01dc · outbound

This paper cites Learning to predict by the methods of temporal differences.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Learning to predict by the methods of temporal differences

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T09:05:32.228487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:dc23308a6113d9962b3a3a2d6bc4a0386a7890d3da84266756a06b24c91a44e8

Observation 27abd509-35e5-4a5c-af8d-d959475eb02e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Adam: A Method for Stochastic Optimization

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-11T13:26:05.795412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:3cfc4c7b118c375566daaebbbd36e05950e2bcba6ea0c5b59ca9b3959b8703c8

Observation 39590ef1-05d1-4458-b3cf-5d4cf5cb029a · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T09:05:32.240989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:5db97d0e41d7b72c6fe0a50715660e7c480d1748fb62e8ff85b9412656fcd0d0

Observation 75de67cd-2720-4ae7-8240-c5c32972d051 · outbound

This paper cites OpenAI Gym.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems OpenAI Gym

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:49:39.087655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:894a4fc246e7f14f99d58ebb5ceeb81bb1a8531a2f41cb066cfe38bf5b5910e5

Observation 10ed11e5-36ef-4413-a241-513e57d6143f · outbound

This paper cites [Online].

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems [Online]

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T09:05:32.258386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:e040ea990a1a933f2d68916d6a3437555ab6ebc5e7666a2bb58012c224f1db4c

Observation 17b7ff76-1fd3-42c8-b6c9-7037f3680776 · outbound

This paper cites Unitree go1.

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems Unitree go1

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T09:05:32.315615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:41:48.328530Z digest=sha256:825f487c5c4f3bdb24c18388716a8845f84f9fea3e366fccabd500b7f434c0f2

Pith citing papers

No inbound Pith citation observations are available.