Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.04038.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:27:01.076120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:59:42.851862Z
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 d63ed629-e551-4729-975a-4e7f5226851f · inbound
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock cites this paper.
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:06:58.758294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a3cad358-03b1-4e7c-924e-e92b70d22d16 · inbound
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation cites this paper.
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:27:01.076120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4d2458c-7c87-462f-b160-66b29b7bb7d5 · inbound
Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices cites this paper.
Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T16:10:20.308072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a75c63cc-d304-4bee-bc24-04fae1690776 · inbound
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis cites this paper.
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:46:31.142959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9e21ddb3-95ad-49b3-aba7-02bc2f2e4f37 · inbound
Benchmarking Vision-Language Models for Microscopic Plant Image Understanding cites this paper.
Benchmarking Vision-Language Models for Microscopic Plant Image Understanding PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:59:42.853763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.