Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stop Oversampling for Class Imbalance Learning: A Critical Review
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.03579.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:53.716115Z
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 e4874d73-8834-4651-9fba-e1d760d4457e · inbound
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Stop Oversampling for Class Imbalance Learning: A Critical Review
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:43:53.716115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d01bd10d-8b70-4af0-b458-32eba27386b3 · inbound
Beyond Synthetic Augmentation: Group-Aware Threshold Calibration for Robust Balanced Accuracy in Imbalanced Learning cites this paper.
Beyond Synthetic Augmentation: Group-Aware Threshold Calibration for Robust Balanced Accuracy in Imbalanced Learning Stop Oversampling for Class Imbalance Learning: A Critical Review
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:23:19.403682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a74fd8f4-d5c5-4408-9b75-57a4347e9ae2 · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.
Toward Calibrated, Fair, and accurate Deepfake Detection Stop Oversampling for Class Imbalance Learning: A Critical Review
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:11:45.298596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.