Paper Citation Record · LEDGER

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.06695.

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

pith.paper-citation-record.v1
2502.06695 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:40:50.159204Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a6ab3ff-f4ba-489c-9b04-85dd569c10a7 · outbound

This paper cites Concrete Problems in AI Safety.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Concrete Problems in AI Safety

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.090040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2826894f-8245-428e-8d62-80ca501eac36 · outbound

This paper cites Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T14:40:50.340487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8228b826-9332-4a6d-9bbb-4d193ad5def6 · outbound

This paper cites In-context learn- ing creates task vectors.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups In-context learn- ing creates task vectors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:50.512981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a2c9dfb-1746-4d65-bc09-88ab62c17a37 · outbound

This paper cites MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.132255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc8841b-0e2b-41bf-b7f0-306ca7b0265c · outbound

This paper cites an unresolved cited work.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:40:50.479589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d217c66-8601-4108-a413-250fc0155094 · outbound

This paper cites Pre-training bert on domain resources for short answer grading.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Pre-training bert on domain resources for short answer grading

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:50.463709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a2a8e89-75e0-4ff0-883f-f42be0e9c2c7 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups The caltech-ucsd birds-200-2011 dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.149491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d44fdb-078e-4225-86d4-5adbca350cc6 · outbound

This paper cites Appendix A.1.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Appendix A.1

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:50.436041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc9a336e-af2e-4180-9515-01686bf3ab1a · outbound

This paper cites Invariant Risk Minimization.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Invariant Risk Minimization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.096856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a7c8717-2cf8-4690-b485-71f668df23a1 · outbound

This paper cites Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:40:50.384145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32cadf11-0e1e-4b9c-9f78-79ed309f6822 · outbound

This paper cites Model Patching: Closing the Subgroup Performance Gap with Data Augmentation.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.108989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48805a36-0549-4c47-bbb8-bec8e2c86dc6 · outbound

This paper cites E., Pollard, T.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups E., Pollard, T

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:50.495826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3aac9362-f0be-4b6b-9756-a82d87f65ab6 · outbound

This paper cites Spurious correlations in machine learning: A survey.

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Spurious correlations in machine learning: A survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:50.153952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.