Paper Citation Record · LEDGER

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.12596.

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

pith.paper-citation-record.v1
2506.12596 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:55.498427Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

36 of 36 outbound references displayed

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verified fuzzy20
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82422230-49e0-4a6a-8880-0112f8406e64 · outbound

This paper cites an unresolved cited work.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:55.934334Z

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Observation e1c701e1-3715-4dbf-922a-87e686d23c56 · outbound

This paper cites Optimal and autonomous control using reinforcement learning: A survey,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Optimal and autonomous control using reinforcement learning: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.920317Z

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Observation b3ab2b1c-667f-4398-82c4-af0583450b3a · outbound

This paper cites Real- time self-learning optimization of diesel engine calibration,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Real- time self-learning optimization of diesel engine calibration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.907711Z

Source-reported events for the cited work

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Observation d8b7b26c-cf0a-4e01-bbb6-04eae6ba27fd · outbound

This paper cites Convergence properties of a computational learn- ing model for unknown Markov chains,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Convergence properties of a computational learn- ing model for unknown Markov chains,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.894750Z

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Observation 1f6da1ac-a7f2-478f-a446-91b984f033b2 · outbound

This paper cites ProQuest, 2011.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator ProQuest, 2011

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.882143Z

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Observation d3ff1976-3f5f-4804-b54b-ee59115b8245 · outbound

This paper cites A multi-agent deep reinforcement learning coordination framework for connected and automated vehicles at merging roadways,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator A multi-agent deep reinforcement learning coordination framework for connected and automated vehicles at merging roadways,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.869797Z

Source-reported events for the cited work

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Observation ebf21fff-3899-4e9a-bc01-7157ff2f26ae · outbound

This paper cites an unresolved cited work.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 300101fe-0e65-4d9a-b174-57f0077f5a6a · outbound

This paper cites Reinforcement learning-based linear quadratic regulation of continuous-time systems using dynamic output feedback,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Reinforcement learning-based linear quadratic regulation of continuous-time systems using dynamic output feedback,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.389768Z

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Observation e4293cd0-acb1-4c4e-9a5a-1d76d5a26edf · outbound

This paper cites Jiang and Z.-P.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Jiang and Z.-P

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.839760Z

Source-reported events for the cited work

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Observation 09973a88-2de7-46b2-ab5f-6399cebfdb60 · outbound

This paper cites Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.826705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4227d9dd-23c2-47c7-82d1-ff8f91f7d99a · outbound

This paper cites A decentralized energy-optimal control framework for connected automated vehicles at signal-free intersections,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator A decentralized energy-optimal control framework for connected automated vehicles at signal-free intersections,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.813959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca2b0500-d11e-468b-b18e-f8c3438f7a82 · outbound

This paper cites Separation of learning and control for cyber- physical systems,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Separation of learning and control for cyber- physical systems,

Reference 12

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Source-reported events for the cited work

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Observation 17073b28-7f97-4cd2-b509-afe96ebba5c0 · outbound

This paper cites Combining learning and control in linear systems,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Combining learning and control in linear systems,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77295b92-dfb7-4b22-af76-d59b6cd14d17 · outbound

This paper cites Policy gradi- ent methods for reinforcement learning with function approximation,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Policy gradi- ent methods for reinforcement learning with function approximation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.783634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cbd2e737-7f6c-474e-99a6-23f4acbdb018 · outbound

This paper cites A survey of actor-critic reinforcement learning: Standard and natural policy gra- dients,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator A survey of actor-critic reinforcement learning: Standard and natural policy gra- dients,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.770817Z

Source-reported events for the cited work

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Observation f557d780-a151-442b-b670-e06ee350124f · outbound

This paper cites Trust region policy optimization,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Trust region policy optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.758117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b1399b3-45bd-47a0-9e47-3e9834fc623a · outbound

This paper cites Policy optimization provably con- verges to nash equilibria in zero-sum linear quadratic games,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Policy optimization provably con- verges to nash equilibria in zero-sum linear quadratic games,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.745330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 328fca76-6e97-4472-bf4c-4bad2dbc6546 · outbound

This paper cites Combining policy gradient and Q-learning.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Combining policy gradient and Q-learning

Reference 18

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Source-reported events for the cited work

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Observation 937237a2-1a72-43aa-ae94-8082cf41dd2a · outbound

This paper cites On the sample com- plexity of the linear quadratic regulator,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator On the sample com- plexity of the linear quadratic regulator,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.433513Z

Source-reported events for the cited work

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Observation 05fc4550-f16c-4d81-8a8a-86f1bb6018b8 · outbound

This paper cites Toward a theoretical foundation of policy optimization for learning control policies,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Toward a theoretical foundation of policy optimization for learning control policies,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.724037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1b36bf2-2d4e-46c6-ae4f-5cdea9d4c8ba · outbound

This paper cites Global convergence of policy gradient methods for the linear quadratic regulator,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Global convergence of policy gradient methods for the linear quadratic regulator,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.441571Z

Source-reported events for the cited work

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Observation b3a15f25-7132-437d-8288-a2ce7ab4a083 · outbound

This paper cites Optimizing static linear feedback: Gradient method,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Optimizing static linear feedback: Gradient method,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.445747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f126c5e-2784-4a51-8363-5e46c573dd32 · outbound

This paper cites Convergence and sample complexity of gradient methods for the model-free linear–quadratic regulator problem,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Convergence and sample complexity of gradient methods for the model-free linear–quadratic regulator problem,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.449904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f24c5a22-0653-4020-8004-5d136974da60 · outbound

This paper cites Global convergence of policy gradient primal–dual methods for risk-constrained LQRs,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Global convergence of policy gradient primal–dual methods for risk-constrained LQRs,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.453534Z

Source-reported events for the cited work

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Observation dc61527c-3ae3-4f50-9410-8083306dd40b · outbound

This paper cites Derivative-free methods for policy optimization: Guarantees for linear quadratic systems,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Derivative-free methods for policy optimization: Guarantees for linear quadratic systems,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.457280Z

Source-reported events for the cited work

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Observation 2fb86ffe-0a8b-4638-bba2-085c419a923c · outbound

This paper cites Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.461277Z

Source-reported events for the cited work

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Observation be7ed794-09e0-4792-a821-973dea9f9e6d · outbound

This paper cites Learning-based control: A tutorial and some recent results,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Learning-based control: A tutorial and some recent results,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.658018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 98d00b51-ce01-4b49-ab99-f13180a0872e · outbound

This paper cites Robust policy iteration for continuous-time linear quadratic regulation,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Robust policy iteration for continuous-time linear quadratic regulation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.644450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f18b1a6-f6e2-4798-8e57-d01ac5f29ca7 · outbound

This paper cites Remarks on input to state stability of perturbed gradient flows, motivated by model-free feedback control learning,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Remarks on input to state stability of perturbed gradient flows, motivated by model-free feedback control learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.631509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55af33b3-3730-4605-b502-5a3859bd692b · outbound

This paper cites Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.618939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d89d1c9-728f-43b6-9ef7-008c1686ce22 · outbound

This paper cites Robust reinforcement learning for risk-sensitive linear quadratic gaussian control,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Robust reinforcement learning for risk-sensitive linear quadratic gaussian control,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.606483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79de56d4-4ead-4490-976f-b29a4a3343dc · outbound

This paper cites Distributed zero-order algorithms for nonconvex multiagent optimization,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Distributed zero-order algorithms for nonconvex multiagent optimization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.593165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6c5c6ba8-e470-427e-9221-2ef9046df588 · outbound

This paper cites an unresolved cited work.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.487760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3232b53-0272-4492-9551-759dff052c77 · outbound

This paper cites Distributed policy gradient for linear quadratic net- worked control with limited communication range,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Distributed policy gradient for linear quadratic net- worked control with limited communication range,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:57:55.571089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c657422c-3a12-4d0f-b07f-a8f126f5a3a2 · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator Stochastic first-and zeroth-order methods for nonconvex stochastic programming,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.494690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaea548d-12ea-4ff8-a059-ba157fa163dc · outbound

This paper cites An optimal algorithm for bandit and zero-order convex optimization with two-point feedback,.

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator An optimal algorithm for bandit and zero-order convex optimization with two-point feedback,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:55.498427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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