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Paper Citation Record · LEDGER

Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.01961.

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

pith.paper-citation-record.v1
1703.01961 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:28:31.834131Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T17:56:06.813064Z

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 9b586801-76ae-42e0-87f4-645816343405 · inbound

Quality of Uncertainty Quantification for Bayesian Neural Network Inference cites this paper.

Quality of Uncertainty Quantification for Bayesian Neural Network Inference Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:56:06.817066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-25T17:53:20.471215Z digest=sha256:ee44ad7693ad5cc876df96e98031770cc6f88a59bab2c364b365913c6462d4cb

Observation 18644ec9-2c69-4a1b-a770-72d4fb1db2af · inbound

Ensemble Neural Networks (ENN): A gradient-free stochastic method cites this paper.

Ensemble Neural Networks (ENN): A gradient-free stochastic method Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Reference 1998

Resolution
malformed identifier
no resolver link, observed 2026-08-14T15:28:31.834131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:28:31.834131Z digest=sha256:0ccfe6eeed754bc5af3e18cf8112978d70cac6dc1906db5cdd4ae7af60b18f06

Observation e899b855-ea3a-4a67-86bc-c73cc0a5da66 · inbound

Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR cites this paper.

Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:13.210999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:13.210999Z digest=sha256:3b1768dfc7c060d4771f7b7b40f36e3bcaadb04ec31b90e4521d8c12bfc94e1a