Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12114.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:36.213882Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 f9db89d4-e17d-4e5a-a9a6-0c5d133a3c4c · inbound
A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification cites this paper.
A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:44:39.246925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d430e2c-5404-4cfa-8266-e28377c4be7f · inbound
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation cites this paper.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.213882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.