Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.07111.
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 2026-08-06T19:58:41.166200Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:48:51.256436Z
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 285be720-3ee8-4275-b0ba-641f6e9f9f36 · inbound
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data cites this paper.
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.166200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 279e3b1f-1619-492c-82cc-e6ccb779dc02 · inbound
Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data cites this paper.
Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:48:51.350141Z
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.