Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:20:57.362845Z
Paper Citation Record · LEDGER
On the Gradient Domination of the LQG Problem
As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2507.09026.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T09:58:20.309479Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:27:56.988941Z
Reference resolution
30 of 30 outbound references displayed
- verified exact1
- verified fuzzy25
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 20dd2440-df1e-4dfb-ad45-c754e3b0aee8 · outbound
This paper cites Policy gradient methods for reinforcement learning with function approximation,.
On the Gradient Domination of the LQG Problem Policy gradient methods for reinforcement learning with function approximation,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.475693Z
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 c64ca0d2-5256-48e7-9030-a933e6fdaf62 · outbound
This paper cites Global convergence of policy gradient methods for the linear quadratic regulator,.
On the Gradient Domination of the LQG Problem Global convergence of policy gradient methods for the linear quadratic regulator,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.437041Z
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 6a0d64cd-fa73-4561-970a-694932e44866 · outbound
This paper cites Gradient methods for minimizing functionals,.
On the Gradient Domination of the LQG Problem Gradient methods for minimizing functionals,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.407843Z
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 b538a826-711c-4f11-8c31-8c23cc3fe5f7 · outbound
This paper cites On the linear convergence of random search for discrete-time LQR,.
On the Gradient Domination of the LQG Problem On the linear convergence of random search for discrete-time LQR,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.373854Z
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 b9ce5783-4151-4c17-bbf4-a16a63ec3c88 · outbound
This paper cites Toward a theoretical foundation of policy optimization for learning control policies,.
On the Gradient Domination of the LQG Problem Toward a theoretical foundation of policy optimization for learning control policies,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.344660Z
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 75047d35-46da-46c6-9503-c11a917970da · outbound
This paper cites Policy optimization for H2 linear control with H∞ robustness guarantee: Implicit regularization and global convergence,.
On the Gradient Domination of the LQG Problem Policy optimization for H2 linear control with H∞ robustness guarantee: Implicit regularization and global convergence,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.307247Z
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 fb54abb1-e96f-433b-8e17-89364af7bf2a · outbound
This paper cites Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach.
On the Gradient Domination of the LQG Problem Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:20:57.109819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0404f2ec-4551-4210-8d82-c4ff0ee8eb10 · outbound
This paper cites Robot Fleet Learning via Policy Merging.
On the Gradient Domination of the LQG Problem Robot Fleet Learning via Policy Merging
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:20:57.122192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c8a69c6-d903-4a77-8f29-6f2bf66e68e9 · outbound
This paper cites Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR,.
On the Gradient Domination of the LQG Problem Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.263071Z
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 f129d589-0c70-4fce-9cee-63627b49746a · outbound
This paper cites Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.
On the Gradient Domination of the LQG Problem Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:20:57.142267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2d8965b-cbf0-4dd8-8278-e14af4ff2cce · outbound
This paper cites On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System,.
On the Gradient Domination of the LQG Problem On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.221606Z
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 fde2d63b-ac49-4e84-b2ae-bdef3d0d896c · outbound
This paper cites Globally convergent policy gradient methods for linear quadratic control of partially observed systems,.
On the Gradient Domination of the LQG Problem Globally convergent policy gradient methods for linear quadratic control of partially observed systems,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.186606Z
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 a4712932-dafc-4ba1-82e8-b6024a3d90dd · outbound
This paper cites On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information,.
On the Gradient Domination of the LQG Problem On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.150003Z
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 abf11ceb-e75a-4b74-b6cc-36a1d811c6bd · outbound
This paper cites Analysis of the optimization landscape of linear quadratic Gaussian (LQG) control,.
On the Gradient Domination of the LQG Problem Analysis of the optimization landscape of linear quadratic Gaussian (LQG) control,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.119418Z
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 76df692f-d692-4468-897d-8ed9dd92f904 · outbound
This paper cites Behavioral feedback for optimal LQG control,.
On the Gradient Domination of the LQG Problem Behavioral feedback for optimal LQG control,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.074014Z
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 c11b3a31-a3b1-41cd-a389-302f98f1354f · outbound
This paper cites Imitation and transfer learning for LQG control,.
On the Gradient Domination of the LQG Problem Imitation and transfer learning for LQG control,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.046474Z
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 fb049bcc-53cc-4987-a4f4-b8c63fb2cfdf · outbound
This paper cites The data-based LQG control problem,.
On the Gradient Domination of the LQG Problem The data-based LQG control problem,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:58.024365Z
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 49042bde-3c1e-4a8d-a136-bf7234a57d0c · outbound
This paper cites an unresolved cited work.
On the Gradient Domination of the LQG Problem Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:20:57.988795Z
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 5aba3b42-6109-4b3a-b2fd-9917bf793d70 · outbound
This paper cites Escaping high-order saddles in policy optimization for linear quadratic Gaussian control,.
On the Gradient Domination of the LQG Problem Escaping high-order saddles in policy optimization for linear quadratic Gaussian control,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.957431Z
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 62594370-876c-415c-972f-b4fa2805752b · outbound
This paper cites Data-Driven Policy Gradient Method for Optimal Output Feedback Control of LQR,.
On the Gradient Domination of the LQG Problem Data-Driven Policy Gradient Method for Optimal Output Feedback Control of LQR,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.927882Z
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 d1dc6f3c-8f51-4203-b1bb-5122bccd34ef · outbound
This paper cites How are policy gradient methods affected by the limits of control?.
On the Gradient Domination of the LQG Problem How are policy gradient methods affected by the limits of control?
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.897984Z
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 c51d4dc3-56fd-4911-9ac8-a1e88091116c · outbound
This paper cites Learning optimal controllers for linear systems with multiplicative noise via policy gradient,.
On the Gradient Domination of the LQG Problem Learning optimal controllers for linear systems with multiplicative noise via policy gradient,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.873085Z
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 66e1eeea-4eeb-4ed3-b075-a755fe698623 · outbound
This paper cites Oracle complexity reduction for model-free LQR: A stochastic variance-reduced policy gradient approach,.
On the Gradient Domination of the LQG Problem Oracle complexity reduction for model-free LQR: A stochastic variance-reduced policy gradient approach,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.844049Z
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 faa2fa11-3d7b-4388-89c7-49b1080a641f · outbound
This paper cites Computing stabilizing linear controllers via policy iteration,.
On the Gradient Domination of the LQG Problem Computing stabilizing linear controllers via policy iteration,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.813113Z
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 66b9ce1e-0f3b-40eb-a1cf-f3570417d5d7 · outbound
This paper cites Stabilizing dynamical systems via policy gradient methods,.
On the Gradient Domination of the LQG Problem Stabilizing dynamical systems via policy gradient methods,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.778133Z
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 89aaff0c-cdfe-4006-8514-55ce4574c522 · outbound
This paper cites Convergence and sample complexity of policy gradient methods for stabilizing linear systems,.
On the Gradient Domination of the LQG Problem Convergence and sample complexity of policy gradient methods for stabilizing linear systems,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.734570Z
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 d9808ca7-2cab-4c20-b125-326a989a907d · outbound
This paper cites Learning Stabilizing Policies via an Unstable Subspace Representation.
On the Gradient Domination of the LQG Problem Learning Stabilizing Policies via an Unstable Subspace Representation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:20:57.482043Z
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 8f8ec5e0-5dbe-4cb1-9111-03c021869f90 · outbound
This paper cites Derivative-free methods for policy optimization: Guarantees for linear quadratic systems,.
On the Gradient Domination of the LQG Problem Derivative-free methods for policy optimization: Guarantees for linear quadratic systems,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.700973Z
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 09115386-a42f-45da-8acc-6640b73d6351 · outbound
This paper cites Random gradient-free minimization of convex functions,.
On the Gradient Domination of the LQG Problem Random gradient-free minimization of convex functions,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.673678Z
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 25008113-fc55-4363-99ef-0d9cc930aba8 · outbound
This paper cites Vershynin, High-dimensional probability: An introduction with applications in data science.
On the Gradient Domination of the LQG Problem Vershynin, High-dimensional probability: An introduction with applications in data science
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:20:57.647013Z
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.
Pith citing papers
Observation 29136410-42ff-49f6-afeb-3cdfe9942ded · inbound
Multitask LQG Control: Performance and Generalization Bounds cites this paper.
Multitask LQG Control: Performance and Generalization Bounds On the Gradient Domination of the LQG Problem
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:37:04.713634Z
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 511ac100-ed45-4aff-a7f9-1b3c689c0baf · inbound
Two-Layer Linear Auto-Regressive Models Estimate Latent States cites this paper.
Two-Layer Linear Auto-Regressive Models Estimate Latent States On the Gradient Domination of the LQG Problem
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:27:56.990591Z
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.