Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Solving Bayesian Inverse Problems via Variational Autoencoders
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1912.04212.
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 2026-08-10T15:03:35.576750Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T07:32:42.782725Z
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 e7ac2ff4-6923-4577-8361-08f9a5ea9358 · inbound
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems cites this paper.
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:32:42.786274Z
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.
Observation 80eb8971-5d89-48d8-a7d2-e9cc65d709d5 · inbound
A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization cites this paper.
A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:03:35.576750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15d663f3-2405-4d49-9939-fae3499871e0 · inbound
Distributional Inverse Homogenization cites this paper.
Distributional Inverse Homogenization Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:40:19.020368Z
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.
Observation b6e2038e-a5c0-4e9d-a05d-47fe097209c6 · inbound
Distributional Inverse Homogenization cites this paper.
Distributional Inverse Homogenization Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T08:07:31.303594Z
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.
Observation 8ab9b868-3390-465a-ab04-204dff1185dc · inbound
Distributional Inverse Homogenization cites this paper.
Distributional Inverse Homogenization Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T20:13:09.538206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43ecc1d3-01a1-46e0-889d-b26d9e0ff80d · inbound
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems cites this paper.
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems Solving Bayesian Inverse Problems via Variational Autoencoders
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T05:23:58.685472Z
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.