Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.10888.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:35.376899Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:26:09.385616Z
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 299101c7-7552-4348-942d-1dac4e610468 · inbound
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification cites this paper.
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:35:35.376899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7eba9a3a-89ca-4637-ba6a-f7502bb48819 · inbound
Curvature Enhanced Data Augmentation for Regression cites this paper.
Curvature Enhanced Data Augmentation for Regression A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:52:58.763392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa17d116-27a3-4406-9fe1-78d4db01e8dd · inbound
MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models cites this paper.
MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:26:09.397131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.