Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.06808.
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 2026-08-16T11:25:26.157801Z
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
6
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 100773b3-3bb1-4f71-bf27-caffebcfa839 · inbound
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection cites this paper.
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:25:26.157801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ac31cc9-5a9e-47dd-9ffe-c5735bf85a33 · inbound
ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs cites this paper.
ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T19:30:36.698322Z
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.