Paper Citation Record · LEDGER

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.02208.

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

pith.paper-citation-record.v1
2602.02208 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:27:11.385873Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abaaa5ee-43d6-4ecd-a6e1-f8341701a9d2 · outbound

This paper cites Generative artificial intelligence for software engineering- a research agenda,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Generative artificial intelligence for software engineering- a research agenda,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.213123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f641d32c-0cea-45cd-be8e-d029f053e7ac · outbound

This paper cites Reason- ing on efficient knowledge paths: knowledge graph guides large language model for domain question answering,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Reason- ing on efficient knowledge paths: knowledge graph guides large language model for domain question answering,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.264628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc94dc1-ef52-478a-95ad-65f662cdf2df · outbound

This paper cites AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.328457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5949b4a3-5903-4827-90a8-386c9fd3d5a4 · outbound

This paper cites Agriregion: Region-aware retrieval for high- fidelity agricultural advice,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Agriregion: Region-aware retrieval for high- fidelity agricultural advice,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.382717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44bcfc3-4a81-407e-9874-afa297e8ed95 · outbound

This paper cites LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.473937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06902eaf-bd02-40ac-9a0a-fa90d4010667 · outbound

This paper cites Poro 34b and the blessing of multilinguality,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Poro 34b and the blessing of multilinguality,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.561280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2604db-1f0b-4fa8-9017-316da9e4d645 · outbound

This paper cites A Survey of Large Language Models for European Languages.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study A Survey of Large Language Models for European Languages

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.616214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6262f349-ddb8-4bb5-b3ee-007eac6ebe52 · outbound

This paper cites Foundation models in agriculture: A comprehensive review,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Foundation models in agriculture: A comprehensive review,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.723280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7024b9c-79dc-4200-a0a1-53868393b8d8 · outbound

This paper cites Knowledge assimilation: Implementing knowledge-guided agricul- tural large language model,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Knowledge assimilation: Implementing knowledge-guided agricul- tural large language model,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.826763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a85295-ddf7-40b9-890f-86dbd5d4a544 · outbound

This paper cites Enhancing ai-driven farming advisory in kenya with efficient rag agents via quantized fine-tuned language models,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Enhancing ai-driven farming advisory in kenya with efficient rag agents via quantized fine-tuned language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.898567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97bc2e1f-68a6-4718-902d-db363c3b3781 · outbound

This paper cites Beefbot: Harnessing advanced llm and rag techniques for pro- viding scientific and technology solutions to beef producers,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Beefbot: Harnessing advanced llm and rag techniques for pro- viding scientific and technology solutions to beef producers,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:10.955276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435baef4-29c1-4237-a4f1-71433c8d7a9a · outbound

This paper cites AgriGPT: a Large Language Model Ecosystem for Agriculture.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:11.066173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e2c937-a3ad-4c7c-b5cd-42d8eb0fc1e6 · outbound

This paper cites Shizishangpt: An agricultural large language model integrating tools and resources,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Shizishangpt: An agricultural large language model integrating tools and resources,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:11.163389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783caf02-6f80-455f-b888-8fc240b65816 · outbound

This paper cites A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:11.252368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b9820c-0997-4917-a078-a6c9d3558483 · outbound

This paper cites Engineering rag systems for real-world applications: Design, development, and evaluation,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Engineering rag systems for real-world applications: Design, development, and evaluation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:11.308571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad0b366-9542-40d9-8237-7fdd4872f663 · outbound

This paper cites From PDF to Dataset: Semi-Automatic Extraction of Fine-Tuning Data,.

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study From PDF to Dataset: Semi-Automatic Extraction of Fine-Tuning Data,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:11.385873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.