Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06225.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:10.970346Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:11:41.540821Z
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 0826804a-ea32-435b-a716-dc24de4c7f4d · inbound
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs cites this paper.
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:10:10.970346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 923b1969-c838-4021-8026-4f628b6de4be · inbound
Adversarial Attacks on Robotic Vision Language Action Models cites this paper.
Adversarial Attacks on Robotic Vision Language Action Models GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:11:41.550160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bf63559c-b153-4554-9ecd-3454694409b6 · inbound
AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System cites this paper.
AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:45:52.034498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.