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Paper Citation Record · LEDGER

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.20419.

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

pith.paper-citation-record.v1
2504.20419 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:56.016458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:50.925772Z

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 e1456400-47fb-44d5-ab35-0fc0084530de · inbound

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance cites this paper.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:56.016458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:56.016458Z digest=sha256:9cf5b2fa8e9a0c1cab68de26992f9246acb58997b1b068952fc1f3e4927fa2ab

Observation fcc6d705-315a-4833-9e1d-8cd99dedb8ef · inbound

Hallucination Behavior in Multimodal LLMs Across Agricultural Image Interpretation and Generation Tasks cites this paper.

Hallucination Behavior in Multimodal LLMs Across Agricultural Image Interpretation and Generation Tasks Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.927819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T18:15:34.055839Z digest=sha256:a8822ff870d54387e3d09b6f2a689f481e8bc85828bf86be56067f484a59fdf8