Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.11892.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:06.530741Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:56:11.441539Z
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 c373d535-f697-4770-baa9-e4596000a995 · inbound
PlantDeBERTa: An Open Source Language Model for Plant Science cites this paper.
PlantDeBERTa: An Open Source Language Model for Plant Science Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:03:06.530741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dd650d4-32aa-41de-b6e0-a4cc99412c26 · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
Reference 112
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:56:11.442829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.