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Paper Citation Record · LEDGER

Variational Dropout Sparsifies Deep Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.05369.

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

pith.paper-citation-record.v1
1701.05369 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:38:41.652755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:15:51.893494Z

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 ec07f10f-8630-4402-aff4-73f629d45a1d · inbound

Neural Plasticity Networks cites this paper.

Neural Plasticity Networks Variational Dropout Sparsifies Deep Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T13:38:41.652755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:38:41.652755Z digest=sha256:52ae861df500db62df8a79745249f63bbc897d4531e78fb210bc00d5ee5f0abc

Observation 5ee41448-9e97-4d9f-aea0-aa73613e1855 · inbound

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification cites this paper.

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification Variational Dropout Sparsifies Deep Neural Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:00:09.574147Z

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.

source=pdf_text observed=2026-05-10T18:38:30.129473Z digest=sha256:1421ec2736d5fdb72d470f2cc9f37f8530b560dab54fdc1afdb1b28e3a375255