Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.05153.
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 2026-08-15T16:06:55.953357Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T07:52:43.654882Z
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 efe93a85-7916-40b7-9981-a5d342495586 · inbound
Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression cites this paper.
Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:52:43.658675Z
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.
Observation 128eb38a-ab07-46cf-891e-2b93c65cbcc5 · inbound
Two-scale criteria for Poincar\'{e} and log-Sobolev inequalities with applications to Markov chain Monte Carlo cites this paper.
Two-scale criteria for Poincar\'{e} and log-Sobolev inequalities with applications to Markov chain Monte Carlo Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:06:55.953357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.