Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.12834.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:53:51.542104Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T12:24:20.096789Z
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 102bc87c-f5eb-4ee6-adf8-b8c1cd999fa0 · inbound
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy cites this paper.
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:53:51.542104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccff4a22-90b9-474d-ad78-3223b268dea5 · inbound
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework cites this paper.
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T12:24:20.104263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.