Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gradient flows for empirical Bayes in high-dimensional linear models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.12708.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:07.215421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T08:07:45.522793Z
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 d3ae8246-1853-4814-bbc1-6a6ddaaf0035 · inbound
Kinetic Interacting Particle Langevin Monte Carlo cites this paper.
Kinetic Interacting Particle Langevin Monte Carlo Gradient flows for empirical Bayes in high-dimensional linear models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T02:07:52.808868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a52a1d7f-fd64-4070-8e35-4df41d3d2073 · inbound
Variational Inference for Latent Variable Models in High Dimensions cites this paper.
Variational Inference for Latent Variable Models in High Dimensions Gradient flows for empirical Bayes in high-dimensional linear models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:07.215421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2334c21-47b0-45a1-8dab-f203c06ecd1a · inbound
CLT in high-dimensional Bayesian linear regression with low SNR cites this paper.
CLT in high-dimensional Bayesian linear regression with low SNR Gradient flows for empirical Bayes in high-dimensional linear models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:59:57.023315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1547e1e1-86d3-473b-99e2-336c5af4af69 · inbound
Normal approximations in nonparametric empirical Bayes cites this paper.
Normal approximations in nonparametric empirical Bayes Gradient flows for empirical Bayes in high-dimensional linear models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-04T02:07:52.808868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 13b36985-f5ef-470a-8915-96921d5ab7e6 · inbound
Posterior consistency of P\'olya trees for deconvolution under the linear model cites this paper.
Posterior consistency of P\'olya trees for deconvolution under the linear model Gradient flows for empirical Bayes in high-dimensional linear models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T02:07:52.808868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7b50fb79-a152-4880-8a2f-be0476526da8 · inbound
Empirical Bayes for correlated Gaussian sequence model cites this paper.
Empirical Bayes for correlated Gaussian sequence model Gradient flows for empirical Bayes in high-dimensional linear models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:18:19.788870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.