Paper Citation Record · LEDGER

NoisyMix: Boosting Model Robustness to Common Corruptions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.01263.

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

pith.paper-citation-record.v1
2202.01263 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:30.327787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:41:02.352512Z

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 1e76566e-5a61-4a98-b8b0-f5412a8a403a · inbound

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers cites this paper.

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers NoisyMix: Boosting Model Robustness to Common Corruptions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:04.060368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82594d86-05c0-4026-b3c9-2ea0712157da · inbound

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models cites this paper.

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models NoisyMix: Boosting Model Robustness to Common Corruptions

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:30.327787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d71caa-6507-4228-9fc6-5e10aa8f99f5 · inbound

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation cites this paper.

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation NoisyMix: Boosting Model Robustness to Common Corruptions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:49.463411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbade471-654d-4a1b-a75a-ad8ef7eeaf62 · inbound

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation cites this paper.

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation NoisyMix: Boosting Model Robustness to Common Corruptions

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:02.353923Z

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.