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Paper Citation Record · LEDGER

Deep Learning for Generic Object Detection: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.02165.

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

pith.paper-citation-record.v1
1809.02165 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:09.766190Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

242
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 348eabee-33cb-4bf6-ba7f-6dd3fb025603 · inbound

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation cites this paper.

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation Deep Learning for Generic Object Detection: A Survey

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:45:18.307851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T01:43:12.464857Z digest=sha256:8b6e37ee52f90658510a7362a0a17a11136a3e8a9f07d08a5416a281abee6e66

Observation 425cea37-e51a-444c-8c55-36a5349c43e2 · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Deep Learning for Generic Object Detection: A Survey

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-05T22:03:09.766190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:03:09.766190Z digest=sha256:630674d85160178dccbf17f2b8f3bc1ef4607a17f4a8e74c39755714f296eae5