Paper Citation Record · LEDGER

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.03932.

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

pith.paper-citation-record.v1
1902.03932 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:05:45.550307Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:09:13.394940Z

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 227683af-d0c9-45a7-821a-1b77ed29f4d2 · inbound

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling cites this paper.

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T14:05:45.550307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0258a54e-6ecb-4e96-a044-2879646b0726 · inbound

Stochastic Weight Sharing for Bayesian Neural Networks cites this paper.

Stochastic Weight Sharing for Bayesian Neural Networks Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:31.555920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4048b4c3-2a9b-4016-9afc-ce3abb607051 · inbound

A Novel Active Learning Approach to Label One Million Unknown Malware Variants cites this paper.

A Novel Active Learning Approach to Label One Million Unknown Malware Variants Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:58.958090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67f285c1-9996-4a57-be40-54aa225831cb · inbound

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints cites this paper.

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:35.752988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2049aa2c-c381-4a7c-9ac3-5ce486d43d92 · inbound

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning cites this paper.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 179

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:09:13.466241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.