Paper Citation Record · LEDGER

LQR through the Lens of First Order Methods: Discrete-time Case

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1907.08921.

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

pith.paper-citation-record.v1
1907.08921 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:08.522490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:04:38.827804Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 593a088e-31f6-4a4f-92d4-b238fe82319d · inbound

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence cites this paper.

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence LQR through the Lens of First Order Methods: Discrete-time Case

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T10:27:41.993114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02db423-aba4-462a-96fd-28f7d7a80bde · inbound

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient cites this paper.

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient LQR through the Lens of First Order Methods: Discrete-time Case

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:43:47.396996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0db0a3e1-9728-48ed-a558-380a251be764 · inbound

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration cites this paper.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration LQR through the Lens of First Order Methods: Discrete-time Case

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:39.983576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e89844-91f6-4bf6-9409-39799aec455b · inbound

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence cites this paper.

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence LQR through the Lens of First Order Methods: Discrete-time Case

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:04.831742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7215d5a-ae1b-4e40-9a12-5562565f8ae0 · inbound

Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches cites this paper.

Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches LQR through the Lens of First Order Methods: Discrete-time Case

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:08.522490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6372a9-4da8-4c5b-ba40-7cb8b1669129 · inbound

Minimizing Smooth Kurdyka-{\L}ojasiewicz Functions via Generalized Descent Methods: Convergence Rate and Complexity cites this paper.

Minimizing Smooth Kurdyka-{\L}ojasiewicz Functions via Generalized Descent Methods: Convergence Rate and Complexity LQR through the Lens of First Order Methods: Discrete-time Case

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T22:37:55.026916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6221e6-d863-484a-b98e-62682599737f · inbound

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

Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization LQR through the Lens of First Order Methods: Discrete-time Case

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:20:53.651659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1791479a-813d-4484-83e5-93780613dbd9 · inbound

Scalar Federated Learning for Linear Quadratic Regulator cites this paper.

Scalar Federated Learning for Linear Quadratic Regulator LQR through the Lens of First Order Methods: Discrete-time Case

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:52.419905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f1d70db5-639f-4228-8b08-a7eecea4e26b · inbound

Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs cites this paper.

Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs LQR through the Lens of First Order Methods: Discrete-time Case

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.829428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c371c01-e56b-4158-ae6b-f6d383e062a1 · inbound

Sample Complexity of Policy Gradient for Log-Growth Control cites this paper.

Sample Complexity of Policy Gradient for Log-Growth Control LQR through the Lens of First Order Methods: Discrete-time Case

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:13:36.173135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c12e8f9-8802-4551-8c96-f63abdd39ea0 · inbound

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version cites this paper.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version LQR through the Lens of First Order Methods: Discrete-time Case

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:20:18.376820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.