Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning for Generic Object Detection: A Survey
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1809.02165.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T06:05:23.679088Z
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 1da5279d-47b2-411e-8f19-5e08f6e0681d · inbound
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark cites this paper.
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark Deep Learning for Generic Object Detection: A Survey
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T06:05:23.679088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bdbb176-e53f-4a4b-a784-be6c699d12f3 · inbound
Imbalance Problems in Object Detection: A Review cites this paper.
Imbalance Problems in Object Detection: A Review Deep Learning for Generic Object Detection: A Survey
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T06:04:41.139313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 626c0b10-8f24-4834-a9c1-1b0bd9ed3762 · inbound
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering cites this paper.
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering Deep Learning for Generic Object Detection: A Survey
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:04:45.143866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-23T06:30:58.430688+00:00.
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.