Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.06108.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:57:29.759646Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5485fd3c-163f-4f7a-8b49-69f87319f237 · inbound
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding cites this paper.
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:57:29.759646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ac24b35-9e49-42f7-95e6-27d6fa2031af · inbound
Busemann energy-based attention for emotion analysis in Poincar\'e discs cites this paper.
Busemann energy-based attention for emotion analysis in Poincar\'e discs Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T20:40:47.115671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6602eca6-50e4-454f-b71d-ba7e07e3dbdb · inbound
Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks cites this paper.
Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:21:24.641453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.