Paper Citation Record · LEDGER

Stop Oversampling for Class Imbalance Learning: A Critical Review

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.03579.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2202.03579 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:28:41.237462Z

measured 1 of 1 external citation measurements

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 c545a1c2-210e-4a5c-991a-4e34e139777d · inbound

Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts cites this paper.

Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts Stop Oversampling for Class Imbalance Learning: A Critical Review

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:28:41.237462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.