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Paper Citation Record · LEDGER

Self-supervised Learning is More Robust to Dataset Imbalance

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:24.617760Z

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T14:37:46.556390Z digest=sha256:7a5b210c86725705b2af20f7413bb903ac9a1efcc837ed17c5c3f0abf383b5e5

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.

source=pdf_text observed=2026-08-06T22:45:24.617760Z digest=sha256:cc96af345101c65c28c75e41e4ec115873c2b48febb5b00e3a9a1dc9fb89fa5b

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.

source=pdf_text observed=2026-08-05T12:19:02.082396Z digest=sha256:74005e69f2aa4c9c350061d744ba347fcccf19a933afc3285bff8837989f6703