Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep learning powered real-time identification of insects using citizen science data
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.02507.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:35.474198Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:27:22.954245Z
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 ac16b404-1766-479a-abdc-ca56fa1733ee · inbound
Robust soybean seed yield estimation using high-throughput ground robot videos cites this paper.
Robust soybean seed yield estimation using high-throughput ground robot videos Deep learning powered real-time identification of insects using citizen science data
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:21:38.664609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53c19dca-ece8-4728-86ce-ee1403db7cc3 · inbound
CrypticBio: A Large Multimodal Dataset for Visually Confusing Biodiversity cites this paper.
CrypticBio: A Large Multimodal Dataset for Visually Confusing Biodiversity Deep learning powered real-time identification of insects using citizen science data
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:59:35.474198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07a42d26-f44c-4671-a4dc-b6693767818d · inbound
WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification cites this paper.
WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Deep learning powered real-time identification of insects using citizen science data
Reference 115
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:27:22.961053Z
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.