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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04788.

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

pith.paper-citation-record.v1
2503.04788 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:41.759457Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:21:50.203434Z

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 7679f040-3c4a-4bfa-8b60-c231994a3fef · inbound

Towards Large Reasoning Models for Agriculture cites this paper.

Towards Large Reasoning Models for Agriculture AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:21:50.285907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:21:41.759457Z digest=sha256:2f7a4d22230eea2c8dd45cce61c3b402f6c26879a82599ec03e23ab3bce2b74c

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

source=pdf_text observed=2026-08-03T05:27:10.328457Z digest=sha256:527b47c7007ee920bc64fccd50f1890a4f2af8206ef3573ddba06546ea066230