Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.09715.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:44:45.189635Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:38:15.756124Z
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 0a3d41fc-95ae-43fc-86b9-0a8436f8c610 · inbound
Robust High-Dimensional Covariate-Assisted Network Modeling cites this paper.
Robust High-Dimensional Covariate-Assisted Network Modeling Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:44:45.189635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a551e197-2936-4b0a-9ab1-41f8cebcc26c · inbound
SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function cites this paper.
SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:38:15.836408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.