Paper Citation Record · LEDGER

AgriGPT: a Large Language Model Ecosystem for Agriculture

As of 20 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 7 inbound Pith citation observations for arXiv:2508.08632.

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

pith.paper-citation-record.v1
2508.08632 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:37:58.684609Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:27:11.066173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.435348Z

Reference resolution

3 of 3 outbound references displayed

verified exact0
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8305d2b-dee5-421e-bfae-fb1c167750dd · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

AgriGPT: a Large Language Model Ecosystem for Agriculture Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:37:58.679039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656a4056-46b6-4762-ba51-5ffd630f5672 · outbound

This paper cites A Survey of Large Language Models.

AgriGPT: a Large Language Model Ecosystem for Agriculture A Survey of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T17:37:58.684609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7440900-efd2-4dcb-8ab7-d99baf609e27 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

AgriGPT: a Large Language Model Ecosystem for Agriculture ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T17:37:58.673054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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

Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study cites this paper.

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 52d227c8-b38f-4c93-a8b2-31531080bd12 · inbound

From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping cites this paper.

From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:25:59.793145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dab3df87-f946-4c12-9c4b-fab5c93aa875 · inbound

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning cites this paper.

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:09.461228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f047709-0246-4fdd-83e8-1358ed46b00b · 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 AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:50.921746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d59b7f5a-582c-44f2-8eca-131d5f7c79cd · inbound

Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B cites this paper.

Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.147242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 457b87ae-eb11-492f-a75d-d5fc921690c2 · inbound

KrishokChat: A Provenance-Traceable Multi-Task Bengali Agricultural Benchmark with Safety-Critical Chemical Advisory cites this paper.

KrishokChat: A Provenance-Traceable Multi-Task Bengali Agricultural Benchmark with Safety-Critical Chemical Advisory AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:34:27.477721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68178682-78dd-42dd-b545-2818a0e541c7 · inbound

Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation cites this paper.

Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation AgriGPT: a Large Language Model Ecosystem for Agriculture

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.436996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.