Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1706.00289.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:57.134466Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:35:43.710726Z
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 46a26608-a83d-4abe-b19c-1bc3495f9a65 · inbound
CLT in high-dimensional Bayesian linear regression with low SNR cites this paper.
CLT in high-dimensional Bayesian linear regression with low SNR On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:59:57.134466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfee5e6f-9082-4d6e-b56c-1b8f6d73955b · inbound
A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems cites this paper.
A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:35:43.846502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.