Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
iCassava 2019 Fine-Grained Visual Categorization Challenge
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1908.02900.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T17:16:49.901012Z
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
54
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 04b97c08-1f80-4f6b-82c1-06520fc851ab · inbound
On Optimal Hyperparameters for Differentially Private Deep Transfer Learning cites this paper.
On Optimal Hyperparameters for Differentially Private Deep Transfer Learning iCassava 2019 Fine-Grained Visual Categorization Challenge
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:40:52.719201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a66515bd-4f8a-415c-86b2-52d8a4d8ac3c · inbound
SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision cites this paper.
SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision iCassava 2019 Fine-Grained Visual Categorization Challenge
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:16:49.901012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a59ae8dd-4b6e-4e23-9fac-05e89ae2afd0 · inbound
Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification cites this paper.
Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification iCassava 2019 Fine-Grained Visual Categorization Challenge
Reference 82
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:18:58.396544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.