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Paper Citation Record · LEDGER

Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2006.09178.

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

pith.paper-citation-record.v1
2006.09178 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:20.258366Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:27:03.092940Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fd6dfe43-816f-4cb8-97e1-2dc49f96c21c · inbound

Dynamic State-Feedback Control for LPV Systems: Ensuring Stability and LQR Performance cites this paper.

Dynamic State-Feedback Control for LPV Systems: Ensuring Stability and LQR Performance Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T13:22:20.258366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:22:20.258366Z digest=sha256:e34a2853b9d98ce07977145c7a20eaa9993602e75c70af6e1466236f660a0d70

Observation 268cc0c8-0e71-4c4f-8d2b-eff23765fff7 · inbound

Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games cites this paper.

Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:25:50.242646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:25:50.242646Z digest=sha256:fa7289eafc80dc995b169fb8ea97de56c35c90350936cd9527bb1b9c813195e0

Observation 465b814d-1820-42e7-a14d-5c15ac1db2ff · inbound

Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman Error cites this paper.

Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman Error Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:53:02.043899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:52:45.393240Z digest=sha256:1cb23f19ebbc2f9bf817a10e138c513cc3c232ef5d0a331e17b1f9b3326c8c55

Observation a7cdc2d0-2449-4b25-aab7-3b91cc0ff182 · inbound

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable cites this paper.

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:12.633866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:12.633866Z digest=sha256:c6b32fdc7a22b7dcc439320265b57e0d71e894ea9a91982260bfe12c1d76ccf6

Observation 0cbe87b3-a6bd-4934-a118-d18d8f3ae36b · inbound

Some remarks on gradient dominance and LQR policy optimization cites this paper.

Some remarks on gradient dominance and LQR policy optimization Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:44:03.797802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:44:03.797802Z digest=sha256:da1b2264bc3efbbebbcf1f6374ea989c8a9b75d76fc160c1e6af9cca60ea9ce2

Observation 3719f698-5876-46f6-9d55-2d1d3c5bb7ba · inbound

Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization cites this paper.

Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:53.739121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:11:49.407111Z digest=sha256:851e831db881c26daa5e6508d4c33c78ae529bb5f14b290f96859e61ff7b9a4d

Observation 92cca4df-a9d7-4b79-8bf4-beeaae532136 · inbound

Towards Optimal Passive Feedback Control of LTI Systems under LQR Performance cites this paper.

Towards Optimal Passive Feedback Control of LTI Systems under LQR Performance Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:08.632422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:09:38.888519Z digest=sha256:a4e5bf6a8230fa3d9ac4a0f843c54ca5e68237f28456a9bf08a80b662ccf6fc6

Observation a726def6-2f66-44b2-8ef6-b389e3f20939 · inbound

Data-driven Linear Quadratic Integral Control: A Convex Formulation and Policy Gradient Approach cites this paper.

Data-driven Linear Quadratic Integral Control: A Convex Formulation and Policy Gradient Approach Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.002336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:58:37.477308Z digest=sha256:300562984163ff26d4ae62d7fc86f63c5dceba9a60d201996dc9e67596707650

Observation 596b2111-1f2c-4aac-934f-0fc30a21b213 · inbound

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations cites this paper.

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:27.803256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T07:58:57.738451Z digest=sha256:57be30e0f2831757d1e5ed36f9cec608fc87c126d6666ea1b75081269dcb99c9

Observation bbd4540c-565e-4781-a4f3-5f447895d305 · inbound

Data-Driven Critic-Free Policy Iteration for Continuous-Time Linear Quadratic Regulation cites this paper.

Data-Driven Critic-Free Policy Iteration for Continuous-Time Linear Quadratic Regulation Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:27:03.094602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:22:47.632435Z digest=sha256:db2dfe8ab45811462df3ff490215b39bed3b5e0a9c5e85d66f98f233ac17d42c