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Paper Citation Record · LEDGER

Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.06668.

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

pith.paper-citation-record.v1
2308.06668 v4

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:14:00.940898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.142107Z

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 8f241a97-7e9a-4418-b7d7-5747416a3a78 · inbound

The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges cites this paper.

The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T12:14:00.940898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:14:00.940898Z digest=sha256:52f6463fbb9cd760873e14422253303f4b2bd15bcee871452706753efcf7a21a

Observation bfc2c777-cbec-4c40-977c-ab1e94983596 · 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 Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.143912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T09:44:26.234613Z digest=sha256:d1239555bf3cc401692455bbcfcdb433ac8a939320dcbf853b6fcb7ad46af517