Paper Citation Record · LEDGER

AugLy: Data Augmentations for Robustness

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2201.06494.

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

pith.paper-citation-record.v1
2201.06494 v1

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:35:00.090802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:08:47.357876Z

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 3062dbec-b2f7-481c-8b9a-d25e3aabb81e · inbound

Benchmarking and Revisiting Code Generation Assessment: A Mutation-Based Approach cites this paper.

Benchmarking and Revisiting Code Generation Assessment: A Mutation-Based Approach AugLy: Data Augmentations for Robustness

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:00.090802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d569a398-d350-426c-9a8c-80bf19d8c4c4 · inbound

Efficient and Accurate Image Provenance Analysis: A Scalable Pipeline for Large-scale Images cites this paper.

Efficient and Accurate Image Provenance Analysis: A Scalable Pipeline for Large-scale Images AugLy: Data Augmentations for Robustness

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:39:38.033854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fddbb7-becd-4dcb-b61c-7efb294eb42a · inbound

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding cites this paper.

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding AugLy: Data Augmentations for Robustness

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:08:47.360679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9108c2a1-70a6-4316-9078-279aaea17b73 · inbound

Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory cites this paper.

Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory AugLy: Data Augmentations for Robustness

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-03T06:08:26.645722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.