Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Preconditioned training of normalizing flows for variational inference in inverse problems
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.03709.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:33:11.565792Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:16:44.467183Z
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 36a91a1d-d9e3-4128-94ba-5ca2ae41184b · inbound
How to implement the Bayes' formula in the age of ML? cites this paper.
How to implement the Bayes' formula in the age of ML? Preconditioned training of normalizing flows for variational inference in inverse problems
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:33:11.565792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 751846ee-6d5d-4cc7-8404-f9bd123a1b1a · inbound
A Semi-analytic but Biased Uncertainty Assessment Method using Sample Extensions, Analysed for Nonlinear Travel Time Tomography cites this paper.
A Semi-analytic but Biased Uncertainty Assessment Method using Sample Extensions, Analysed for Nonlinear Travel Time Tomography Preconditioned training of normalizing flows for variational inference in inverse problems
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:16:44.471325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.