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Paper Citation Record · LEDGER

AgriGPT: a Large Language Model Ecosystem for Agriculture

As of 10 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 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

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 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.

source=pdf_text observed=2026-08-03T05:27:11.066173Z digest=sha256:69e1e9d2aff26bc40c67473b3cf21252b48869b7841c9e059b991b8285f9a467

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:11:50.265856Z digest=sha256:4de72f79918dd26c47788d744831e772d4260872f40e4f3d03b00a2895590381

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T14:02:29.480442Z digest=sha256:d26e034d078ea3dbb1a6e6554d958a4a2c96cf03efb3121b50f2c22e45595038

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:15:34.055839Z digest=sha256:ca41c9143081b9a8aba83704eb1b17482d5f2ee878659a8a52f449507feac596

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T09:44:26.234613Z digest=sha256:515e18f7f15ccb1b71d2ce54d3a59044fcf20e83f91ced0935bca73215fb1cab

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

KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory cites this paper.

KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural 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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:30:26.794528Z digest=sha256:f1a039d54b77b331a9bb6c66c8f11e8bfb0dbbeb312c2a88e83f3976c773e04e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T13:05:02.609607Z digest=sha256:4351614b2ae3f23bd1df0a118c2fe658812c6806b4bbc19237fad55092f14eef