Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models For Text Classification: Case Study And Comprehensive Review
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.08457.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:39:32.953116Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T13:39:35.856984Z
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 a86a9b73-2ed1-4de2-83f2-08e814440da0 · inbound
Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models cites this paper.
Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models Large Language Models For Text Classification: Case Study And Comprehensive Review
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:39:35.932621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c3ef659-a299-49a3-bbbf-9994697f1d21 · inbound
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn cites this paper.
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn Large Language Models For Text Classification: Case Study And Comprehensive Review
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:31:25.576645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.