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Paper Citation Record · LEDGER

A Survey of the Recent Architectures of Deep Convolutional Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.06032.

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

pith.paper-citation-record.v1
1901.06032 v7

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:09:40.862446Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:47:42.668057Z

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 456bf18a-9680-457d-8100-a5e56d1da317 · inbound

Leaf diseases detection using deep learning methods cites this paper.

Leaf diseases detection using deep learning methods A Survey of the Recent Architectures of Deep Convolutional Neural Networks

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T22:47:42.672337Z

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=pdf_text observed=2026-08-10T22:47:42.030261Z digest=sha256:e68ada46daae8d63b9b7d837746342a9a50390b2c9985df6e6b0037129ac3b47

Observation bb4edb3f-a993-4e8b-b41e-9454909a45c6 · inbound

Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving cites this paper.

Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving A Survey of the Recent Architectures of Deep Convolutional Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:09:40.862446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:09:40.862446Z digest=sha256:79066352d6b9a1a1fad5567749b09cdddbdbbb516900805d89eec5740a958e80