Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Source Code Data Augmentation for Deep Learning: A Survey
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.19915.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:46.395594Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T17:28:22.940946Z
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 e223115e-1111-445a-8a1a-cc2e5a1bbc3a · inbound
StarCoder 2 and The Stack v2: The Next Generation cites this paper.
StarCoder 2 and The Stack v2: The Next Generation Source Code Data Augmentation for Deep Learning: A Survey
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T17:28:22.943898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5129c6ae-d9fd-4c29-95e5-c7a2bcd3e78a · inbound
CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples cites this paper.
CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples Source Code Data Augmentation for Deep Learning: A Survey
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:12:11.616220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fae813f-c92c-403d-8688-fed40f73b9eb · inbound
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning cites this paper.
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Source Code Data Augmentation for Deep Learning: A Survey
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:22:46.395594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.