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Paper Citation Record · LEDGER

BayesFlow: Amortized Bayesian Workflows With Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.16015.

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

pith.paper-citation-record.v1
2306.16015 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:18.576108Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T20:58:04.262824Z

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 b7aeefbf-203b-4b0b-afbc-ee8b6313afd3 · 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 BayesFlow: Amortized Bayesian Workflows With Neural Networks

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T20:58:04.266542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T20:58:04.063727Z digest=sha256:27557e70d9baaa9eed46c2123705e75b213289e16bf742aebd43b0b0e46f254e

Observation 026f2e3f-46d3-4a1b-b9d1-c18f13681fa7 · inbound

MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design cites this paper.

MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design BayesFlow: Amortized Bayesian Workflows With Neural Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:27:18.576108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:27:18.576108Z digest=sha256:e0558e53d28fb0e2f764d0ecb13b2cdd72e7f4f12018c4b5561b50358fd789df

Observation 7b5837dd-5746-4e53-abcf-22d426ad0d2a · inbound

Simulation-Based Inference: A Practical Guide cites this paper.

Simulation-Based Inference: A Practical Guide BayesFlow: Amortized Bayesian Workflows With Neural Networks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T17:21:41.408210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:41.408210Z digest=sha256:a6a2de46c88a34f4cf3d8a81d01eec40e635209d9553de91afbad3e31fd867f7

Observation abe2f147-b197-482f-b4a5-ecebee33c1e1 · inbound

AIM: Amortized Inference for Multistate Transition Models cites this paper.

AIM: Amortized Inference for Multistate Transition Models BayesFlow: Amortized Bayesian Workflows With Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T23:55:56.695754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:55:56.695754Z digest=sha256:5b8be59476fa72fab5db92d5c0f78b7c2e482f46feaf2e8bd2c5a5549c203d38