Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.10043.
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 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T16:10:18.676935Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:46:23.922054Z
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 88a53191-2dba-44af-8eda-e94136b2beb7 · inbound
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering cites this paper.
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:03:51.188371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation d6996cfe-0875-4e30-900b-798ea4255c12 · inbound
Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification cites this paper.
Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:46:23.924365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 3f85ced6-20dc-4585-9f31-201c7951d276 · inbound
NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation cites this paper.
NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:10:18.676935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.