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Paper Citation Record · LEDGER

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.06225.

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

pith.paper-citation-record.v1
2310.06225 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:11:40.274805Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:40.274805Z digest=sha256:e25e3831da37bd65e83a767358c3756ebf54591585f330f525456c076ebd1c7b

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.

source=pdf_text observed=2026-08-04T19:45:52.034498Z digest=sha256:bf21f61e32dcb2cfbb111f4d7160e2510dd24cf85534fa8651ec41f624b7d70b