Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.21544.

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

pith.paper-citation-record.v1
2505.21544 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:56.459235Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy6
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07435876-7ed1-4d1b-9e0f-790f1e96ac8a · outbound

This paper cites Food and Agriculture Organization of the United Nations (2022).

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Food and Agriculture Organization of the United Nations (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:59.299952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e80252a-9831-4eed-a265-30c820e8afad · outbound

This paper cites efsa (2023).

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance efsa (2023)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:58.913434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0af3822-15d4-4062-af20-32570682c480 · outbound

This paper cites EIP (2022).

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance EIP (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:58.544270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 702517b9-fc27-46c7-83f4-b05d44f0e499 · outbound

This paper cites Ultralytics (2024).

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Ultralytics (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:58.297452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3a66e0e-1527-4ef4-9eca-24abe86c5632 · outbound

This paper cites Heliyon 10 (2024) https://doi.org/10.1016/j.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Heliyon 10 (2024) https://doi.org/10.1016/j

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:26:55.445671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9283e81e-d570-4698-8fdb-ed5581abd86c · outbound

This paper cites Engineering, Technology and Applied Science Research 14, 13584–13591 (2024) https://doi.org/10.48084/etasr.7064.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Engineering, Technology and Applied Science Research 14, 13584–13591 (2024) https://doi.org/10.48084/etasr.7064

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T14:26:56.755372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8a035e8-bfb6-495d-b68b-400d8df761af · outbound

This paper cites Frontiers in Plant Science 15 (2025) https: //doi.org/10.3389/fpls.2024.1514832.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Frontiers in Plant Science 15 (2025) https: //doi.org/10.3389/fpls.2024.1514832

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:26:57.470878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf605900-77da-4981-a823-bd011fecc30f · outbound

This paper cites Plant Methods 20 (2024) https://doi.org/10.1186/s13007-024-01275-3.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Plant Methods 20 (2024) https://doi.org/10.1186/s13007-024-01275-3

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T14:26:56.648112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d8499fa-3a5b-4c5f-99d1-0f58c44dc341 · outbound

This paper cites github (2025).

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance github (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:58.083791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43071fc9-76af-48b2-85e9-1773cf225439 · outbound

This paper cites LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:26:57.232439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1456400-47fb-44d5-ab35-0fc0084530de · outbound

This paper cites Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks.

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.

Observation 61749285-4b3b-4c1b-bb14-18e7b0e4dfe4 · outbound

This paper cites Retrieval-Generation Synergy Augmented Large Language Models.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Retrieval-Generation Synergy Augmented Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:56.091652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb6bbc3-b4bb-4c1c-aadd-29dfd4a7304b · outbound

This paper cites Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:26:57.039952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15bf8b52-6845-4c31-bf1e-9c47398de117 · outbound

This paper cites Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:56.270406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c34063-4ba8-4a6c-90ab-2e0d5e2ed031 · outbound

This paper cites Computers and Electronics in Agriculture 169, 105162 (2020) https://doi.org/10.1016/j.compag.2019.105162.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Computers and Electronics in Agriculture 169, 105162 (2020) https://doi.org/10.1016/j.compag.2019.105162

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:56.381899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc675bcd-3784-40f5-aa61-a7bdd96ab216 · outbound

This paper cites Applied Sciences 15(9) (2025) 14.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Applied Sciences 15(9) (2025) 14

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:57.699525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.