Paper Citation Record · LEDGER

Variational methods for simulation-based inference

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.04176.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.04176 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:16:12.602555Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T20:58:04.329081Z

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 0377f34b-4b62-412d-8a90-e5a89145557c · inbound

sbi reloaded: a toolkit for simulation-based inference workflows cites this paper.

sbi reloaded: a toolkit for simulation-based inference workflows Variational methods for simulation-based inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:12.602555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f528e80f-bd2d-47d5-9a75-6c276c167e50 · inbound

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors cites this paper.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Variational methods for simulation-based inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T18:57:05.349508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d603334-0521-4774-8b03-353b6da4459f · inbound

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation cites this paper.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Variational methods for simulation-based inference

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:58:04.332175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb1720ce-cf15-4506-ae10-b74acbab1016 · inbound

A Hierarchical Validity-Audit Framework for Neural Mass Models in Simulation-Based Inference: From Observational Coverage to Mechanistic Interpretation cites this paper.

A Hierarchical Validity-Audit Framework for Neural Mass Models in Simulation-Based Inference: From Observational Coverage to Mechanistic Interpretation Variational methods for simulation-based inference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T23:13:16.895930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.