Paper Citation Record · LEDGER

A Survey of Data Augmentation Approaches for NLP

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2105.03075.

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

pith.paper-citation-record.v1
2105.03075 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:06:34.695346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:08:12.503059Z

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 161802b7-d22f-42a5-887f-de7e0e7ff44e · inbound

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps cites this paper.

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps A Survey of Data Augmentation Approaches for NLP

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:08:12.505874Z

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 77d0c8c6-b84d-4476-9cc7-2b39dc6fbaab · inbound

Training and Evaluating Language Models with Template-based Data Generation cites this paper.

Training and Evaluating Language Models with Template-based Data Generation A Survey of Data Augmentation Approaches for NLP

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:03:12.428594Z

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 a390bf51-54af-4f61-8dd4-a7fbe1db01a3 · inbound

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence cites this paper.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence A Survey of Data Augmentation Approaches for NLP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.695346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f818b33c-2cf6-45ff-a94a-514e921e0662 · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A Survey of Data Augmentation Approaches for NLP

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.800883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e4b7ea-f52a-4b13-85c4-b5734b21641f · inbound

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation cites this paper.

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation A Survey of Data Augmentation Approaches for NLP

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:50.469680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37482d17-abd3-4388-b5d9-cab4cae8841b · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting A Survey of Data Augmentation Approaches for NLP

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.789467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48cdb063-9e0b-4897-b85f-87ca4d9e3d89 · inbound

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models cites this paper.

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models A Survey of Data Augmentation Approaches for NLP

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T11:44:05.851502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77332dab-994d-4e5f-b364-a7ab8bd9602b · inbound

Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation cites this paper.

Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation A Survey of Data Augmentation Approaches for NLP

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:51:25.372106Z

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.