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Paper Citation Record · LEDGER

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.09737.

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

pith.paper-citation-record.v1
1911.09737 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:14:10.263937Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T14:34:24.550182Z

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 bd77c3ea-0cb6-4e18-807e-992c932e11e3 · inbound

YOLOv4: Optimal Speed and Accuracy of Object Detection cites this paper.

YOLOv4: Optimal Speed and Accuracy of Object Detection Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:34:24.552600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T14:34:24.456280Z digest=sha256:350023096309be0b5c541128fc30f102e3d1756c66fafd7a4a0ffafbd5deed4c

Observation 2fb408f7-c3d4-445f-925c-184c310530a5 · inbound

Approximate Message Passing for Bayesian Neural Networks cites this paper.

Approximate Message Passing for Bayesian Neural Networks Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:14:10.263937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:14:10.263937Z digest=sha256:aeb4ea2ae5f202af7f8f4078e736da9529ec890c812753e2f743720cf7f8ad6f