Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2508.05474.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:52:07.722899Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:52:08.256077Z
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 add20eef-261b-46d5-a31d-02ad2a395199 · inbound
Large Language Model Data Generation for Enhanced Intent Recognition in German Speech cites this paper.
Large Language Model Data Generation for Enhanced Intent Recognition in German Speech Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T22:52:08.260448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.