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Paper Citation Record · LEDGER

A survey of datasets for computer vision in agriculture

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.16950.

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

pith.paper-citation-record.v1
2502.16950 v1

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:11:57.289734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:45.767658Z

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 75a240bf-d95c-48d8-8d4a-85f5b98a9024 · inbound

PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach cites this paper.

PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach A survey of datasets for computer vision in agriculture

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:11:57.289734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:11:57.289734Z digest=sha256:bc4da268b13bcf3e91a59781e83b77dd6632d08b6cb005c9b5cdd1a16fd63b4a

Observation 71b77229-94d3-47e4-89cb-699abe616109 · inbound

Conceptual Design of an Ecosystem for Real Farm Data Collection toward Agricultural AI Foundation Models cites this paper.

Conceptual Design of an Ecosystem for Real Farm Data Collection toward Agricultural AI Foundation Models A survey of datasets for computer vision in agriculture

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:59:45.769073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T08:20:56.709854Z digest=sha256:ec8465e7b97f8d19d799b2df290a0d17a210033dc686450462e32ea2430ad442