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Paper Citation Record · LEDGER

ImageNet pre-trained models with batch normalization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1612.01452.

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

pith.paper-citation-record.v1
1612.01452 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:59:03.729879Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:52:29.820561Z

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 3fb0c5f4-9421-48b4-bd85-680464d6b6bf · inbound

Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents cites this paper.

Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents ImageNet pre-trained models with batch normalization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T13:59:03.729879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:59:03.729879Z digest=sha256:667e2536f81087697b19b942e53c49a515d877c2c6ba5e82f9c8317a4759cdcf

Observation 2ad5c890-3a40-44a0-9681-433005949413 · inbound

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging cites this paper.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging ImageNet pre-trained models with batch normalization

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:52:29.824202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:29.747457Z digest=sha256:648e9c6c1e9c4e2e7d2f469355cfa97718916e5e6d00a640353b6e261a1cc571