Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.18845.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:46:24.405586Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T19:30:16.653464Z
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 46f34a78-e681-403b-b2f8-eae59a9d0fa0 · inbound
Semantic-preserved Augmentation with Confidence-weighted Fine-tuning for Aspect Category Sentiment Analysis cites this paper.
Semantic-preserved Augmentation with Confidence-weighted Fine-tuning for Aspect Category Sentiment Analysis Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:46:24.405586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34a21eb1-d823-4b2e-8874-19dc20f7f96c · inbound
Transforming Chatbot Text: A Sequence-to-Sequence Approach cites this paper.
Transforming Chatbot Text: A Sequence-to-Sequence Approach Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:07.006550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa522352-c4c7-4e31-9dba-4a5f8d1e8732 · inbound
Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning cites this paper.
Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:51:45.158511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b5f0fc2-601e-4d32-a3a3-edf5ac711baa · inbound
BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation cites this paper.
BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:30:16.656577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.