Paper Citation Record · LEDGER

Practical Deep Learning with Bayesian Principles

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.02506.

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

pith.paper-citation-record.v1
1906.02506 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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:05:21.457214Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:48:07.140850Z

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 d2a6c4cf-2deb-49c0-bcd3-b1270b58dbd0 · inbound

Convergence Rates of Variational Inference in Sparse Deep Learning cites this paper.

Convergence Rates of Variational Inference in Sparse Deep Learning Practical Deep Learning with Bayesian Principles

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-14T14:15:57.366237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9b3da2-d0eb-4eec-8369-c0efc28c96d7 · inbound

Approximate Message Passing for Bayesian Neural Networks cites this paper.

Approximate Message Passing for Bayesian Neural Networks Practical Deep Learning with Bayesian Principles

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:14:10.245623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a59a63-3d7f-4df6-86d8-d41632f9c4a8 · inbound

Epistemic Wrapping for Uncertainty Quantification cites this paper.

Epistemic Wrapping for Uncertainty Quantification Practical Deep Learning with Bayesian Principles

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:21.457214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1f6cbf-d71f-4c28-9ef6-b05c783f1288 · inbound

Adaptive Variance-Penalized Continual Learning with Fisher Regularization cites this paper.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Practical Deep Learning with Bayesian Principles

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:48:07.187330Z

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.