Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:19:37.266964Z
Paper Citation Record · LEDGER
Interpretable Gradient Descent for Kalman Gain
As of 11 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2507.14354.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T19:11:49.407111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:20:53.676982Z
Reference resolution
7 of 7 outbound references displayed
- verified exact1
- verified fuzzy5
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 608937a8-5fcc-423a-893a-baea080273b5 · outbound
This paper cites Optimizing static linear feedback: Gradient method.
Interpretable Gradient Descent for Kalman Gain Optimizing static linear feedback: Gradient method
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:19:37.358879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c0f9ae4a-6cfc-45a0-8d25-990e7ce7b69f · outbound
This paper cites Global convergence of policy gradient methods for the linear quadratic regulator.
Interpretable Gradient Descent for Kalman Gain Global convergence of policy gradient methods for the linear quadratic regulator
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:19:37.348127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9bb9a1d-55eb-43e0-bd2f-589d68bd6ae0 · outbound
This paper cites Policy Optimization of Finite-Horizon Kalman Filter with Unknown Noise Covariance.
Interpretable Gradient Descent for Kalman Gain Policy Optimization of Finite-Horizon Kalman Filter with Unknown Noise Covariance
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:19:37.308512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation de2644cb-2fc4-43f4-80d8-99f7adc920ee · outbound
This paper cites On the linear convergence of random search for discrete-time lqr.
Interpretable Gradient Descent for Kalman Gain On the linear convergence of random search for discrete-time lqr
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:19:37.338442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cedfb567-5a4e-4c83-a3fd-7859ebae31f5 · outbound
This paper cites Data-driven optimal filter- ing for linear systems with unknown noise covariances.
Interpretable Gradient Descent for Kalman Gain Data-driven optimal filter- ing for linear systems with unknown noise covariances
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:19:37.328849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ca1fa85-e17e-4054-8e48-b4830724a22a · outbound
This paper cites Policy Optimization in Control: Geometry and Algorithmic Implications.
Interpretable Gradient Descent for Kalman Gain Policy Optimization in Control: Geometry and Algorithmic Implications
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:19:37.262239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95f6a66d-481d-42b8-acb0-b42e08a46a5e · outbound
This paper cites Introduction to Applied Nonlinear Dynamical Systems and Chaos.
Interpretable Gradient Descent for Kalman Gain Introduction to Applied Nonlinear Dynamical Systems and Chaos
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:19:37.318465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 6103a443-9ba4-4681-8ff3-3d52c7563464 · inbound
Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization cites this paper.
Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization Interpretable Gradient Descent for Kalman Gain
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:20:53.693290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.