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Paper Citation Record · LEDGER

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.02493.

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

pith.paper-citation-record.v1
2608.02493 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:20:19.798968Z

measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

22 of 22 outbound references displayed

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Outbound references

Observation da972250-933b-4b3a-b127-9faf2a9e711b · outbound

This paper cites Hidden star-convexity in policy optimization for gain-scheduled LQR,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Hidden star-convexity in policy optimization for gain-scheduled LQR,

Reference 1

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Observation 1dd943d1-6f8a-4aff-828e-4f813ec5113d · outbound

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

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Global convergence of policy gradient methods for the linear quadratic regulator,

Reference 2

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

This paper cites LQR through the Lens of First Order Methods: Discrete-time Case.

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

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Observation 26627dab-2e1c-42da-8757-a5b95a55493c · outbound

This paper cites Policy optimization over submanifolds for linearly constrained feedback synthesis,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Policy optimization over submanifolds for linearly constrained feedback synthesis,

Reference 4

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Observation affc7493-6932-4734-8eb8-39d778eab4f6 · outbound

This paper cites Receding-horizon policy gradient for polytopic controller synthesis,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Receding-horizon policy gradient for polytopic controller synthesis,

Reference 5

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Observation b5dcbcb2-2d41-450a-ac4c-eff2b904621b · outbound

This paper cites Revisiting Strong Duality, Hidden Convexity, and Gradient Dominance in the Linear Quadratic Regulator.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Revisiting Strong Duality, Hidden Convexity, and Gradient Dominance in the Linear Quadratic Regulator

Reference 6

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Observation ecb4fe87-5693-4c6c-a592-e5d880b52901 · outbound

This paper cites LQR for systems with probabilistic parametric uncertainties: A gradient method,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version LQR for systems with probabilistic parametric uncertainties: A gradient method,

Reference 7

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Observation 2a0f90c0-2323-4a4d-b7db-a6468dff387b · outbound

This paper cites Cubic regularization of Newton method and its global performance,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Cubic regularization of Newton method and its global performance,

Reference 8

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source=pdf_text observed=2026-08-04T06:20:18.835090Z digest=sha256:a739ec60d7c78dd7f722c9d10ec3be54edfd77ae4977c93421c6bdff02c6276b

Observation bd8e396f-de53-4e68-8067-430ba0816ecc · outbound

This paper cites Linear convergence of first order methods for non-strongly convex optimization,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Linear convergence of first order methods for non-strongly convex optimization,

Reference 9

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source=pdf_text observed=2026-08-04T06:20:18.910412Z digest=sha256:63e01981c822bfd37b358a1024a7fc25e4dde79bb6da5bc1067dd5b69cb7b763

Observation 212d5dc4-df2e-4bbd-900c-fb29f558214b · outbound

This paper cites an unresolved cited work.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Unresolved cited work

Reference 10

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Observation f30ba7ec-b11e-47ea-bf89-c1c3a7986ff0 · outbound

This paper cites Dual variational methods in critical point theory and applications,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Dual variational methods in critical point theory and applications,

Reference 11

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Observation 146e5621-fe73-44c7-b7c8-7f871f1d1b6f · outbound

This paper cites Near-optimal methods for minimizing star-convex functions and beyond,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Near-optimal methods for minimizing star-convex functions and beyond,

Reference 12

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Observation 025a915f-c588-4f44-9c47-14e3281cc441 · outbound

This paper cites Linearconvergenceofgradientandproximal-gradient methods under the Polyak–Łojasiewicz condition,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Linearconvergenceofgradientandproximal-gradient methods under the Polyak–Łojasiewicz condition,

Reference 13

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Observation 5cb4e51d-8490-4b92-85dc-85131ec239bf · outbound

This paper cites Aeroelastic wing section control via relaxed tensor product model transformation framework,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Aeroelastic wing section control via relaxed tensor product model transformation framework,

Reference 14

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Observation ea40b90f-2ca0-40a9-bc28-fa7ee14f09ac · outbound

This paper cites Research on gain scheduling,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Research on gain scheduling,

Reference 15

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Observation 0200546f-dd3f-4e07-9b7b-41604c794b93 · outbound

This paper cites TP model transformation as a way to LMI-based controller design,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version TP model transformation as a way to LMI-based controller design,

Reference 16

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Observation 05162aab-7390-42b9-bf6a-7bed6223f685 · outbound

This paper cites A unified approach to controlling chaos via an LMI- based fuzzy control system design,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version A unified approach to controlling chaos via an LMI- based fuzzy control system design,

Reference 17

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Observation 5cae39e5-da60-41b5-ab17-ac5dd8e71a33 · outbound

This paper cites Tanaka and H.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Tanaka and H

Reference 18

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Observation f5b24284-71dc-4283-9503-e400c21caa08 · outbound

This paper cites Policy Gradient for LQR with Domain Randomization.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Policy Gradient for LQR with Domain Randomization

Reference 19

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Observation cc7fc095-596a-4f03-9c3c-df4d67dfd74a · outbound

This paper cites Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR,

Reference 20

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Observation 0faf0e1a-1bf4-4a7a-be8a-b9aa80d2afdd · outbound

This paper cites Optimization landscape of policy gradient methods for discrete-time static output feedback,.

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Optimization landscape of policy gradient methods for discrete-time static output feedback,

Reference 21

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Observation c642ecb8-9696-41dc-80bf-18e941f8a54d · outbound

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

Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version Dynamic State-Feedback Control for LPV Systems: Ensuring Stability and LQR Performance

Reference 22

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