Paper Citation Record · LEDGER

Self-supervised Learning is More Robust to Dataset Imbalance

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.05025.

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

pith.paper-citation-record.v1
2110.05025 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:47:24.097219Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T14:41:41.562120Z

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 c175e368-0994-4798-96d5-3cc3d9a28e8a · inbound

A Comprehensive Survey on Imbalanced Data Learning cites this paper.

A Comprehensive Survey on Imbalanced Data Learning Self-supervised Learning is More Robust to Dataset Imbalance

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:19.022283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec44f9f-c6be-4406-9ffa-4fe8c9929af7 · inbound

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning cites this paper.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Self-supervised Learning is More Robust to Dataset Imbalance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:47:24.097219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a986ce35-f6df-4187-bf66-bdd19ebcf8ff · inbound

Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods cites this paper.

Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods Self-supervised Learning is More Robust to Dataset Imbalance

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:41:41.565143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23c12881-4102-47a1-ad38-4381939c83e8 · inbound

Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods cites this paper.

Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods Self-supervised Learning is More Robust to Dataset Imbalance

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:15.846536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d74ed1-4e9f-441d-9065-8685649d3db1 · inbound

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference cites this paper.

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference Self-supervised Learning is More Robust to Dataset Imbalance

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:24.617760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 943ea6f2-f0e6-4d3a-8e7d-22ec6f1651a6 · inbound

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition cites this paper.

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition Self-supervised Learning is More Robust to Dataset Imbalance

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T12:19:02.082396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.