Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.00671.
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 2026-08-16T12:19:32.811779Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T21:12:24.071427Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 06aa03e9-df6d-4b66-88e4-5dc01ec04aca · inbound
Integrated Control and Active Perception in POMDPs for Temporal Logic Tasks and Information Acquisition cites this paper.
Integrated Control and Active Perception in POMDPs for Temporal Logic Tasks and Information Acquisition Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:19:32.811779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ee50e38-6962-4447-92f1-499e597dc33c · inbound
System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach cites this paper.
System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:12:24.076232Z
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.