Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Optimal Filters Using Variational Inference
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.18066.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:50.877796Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T21:03:26.601304Z
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 5e1922a4-04f8-4eb4-8d03-1ffd3dc93f59 · inbound
A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting cites this paper.
A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting Learning Optimal Filters Using Variational Inference
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:03:26.604329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a8009d94-cd5f-40d6-815e-d63893dfd200 · inbound
On the sensitivity of different ensemble filters to the type of assimilated observation networks cites this paper.
On the sensitivity of different ensemble filters to the type of assimilated observation networks Learning Optimal Filters Using Variational Inference
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:28:50.877796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc51c774-ad0b-45d3-ba98-c5ff12871e4e · inbound
FLUID: Flow-based Unified Inference for Dynamics cites this paper.
FLUID: Flow-based Unified Inference for Dynamics Learning Optimal Filters Using Variational Inference
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:01:00.405427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.