Paper Citation Record · LEDGER

RandAugment: Practical automated data augmentation with a reduced search space

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1909.13719.

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

pith.paper-citation-record.v1
1909.13719 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:39:10.890005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:22:23.090126Z

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 a17025a4-fdcd-44da-9938-aca0079a7b17 · inbound

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation cites this paper.

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation RandAugment: Practical automated data augmentation with a reduced search space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:21.195585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bcc7b5-2c49-4cdb-b53c-c5b9af3756fe · inbound

Augmented Conditioning Is Enough For Effective Training Image Generation cites this paper.

Augmented Conditioning Is Enough For Effective Training Image Generation RandAugment: Practical automated data augmentation with a reduced search space

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T22:39:57.804339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211c37db-37b3-4010-bbd9-b03727702b09 · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets RandAugment: Practical automated data augmentation with a reduced search space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:50.603017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62cff3d-2cc4-4ad6-8a47-e5e179b2a953 · inbound

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks cites this paper.

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks RandAugment: Practical automated data augmentation with a reduced search space

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:39:10.890005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ca2812-9f1d-4be1-aa58-c4dff3f00de6 · inbound

Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis cites this paper.

Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis RandAugment: Practical automated data augmentation with a reduced search space

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:32.948759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae7a602-63bb-464c-8d1d-fffb83f467f0 · inbound

Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels cites this paper.

Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels RandAugment: Practical automated data augmentation with a reduced search space

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:57.132658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702c7882-ec05-4d02-b54e-97b240856f95 · inbound

Understanding Trade offs When Conditioning Synthetic Data cites this paper.

Understanding Trade offs When Conditioning Synthetic Data RandAugment: Practical automated data augmentation with a reduced search space

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:19.720046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07f0b71-b5ea-4c67-bc9a-e24b32693b3d · inbound

Visual Place Recognition for Large-Scale UAV Applications cites this paper.

Visual Place Recognition for Large-Scale UAV Applications RandAugment: Practical automated data augmentation with a reduced search space

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:01.449299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3237e4d-a8ab-4527-8e0e-857969ad3b42 · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey RandAugment: Practical automated data augmentation with a reduced search space

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:45.229422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57d7282-0991-4468-a93e-7b2844337c02 · inbound

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification cites this paper.

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification RandAugment: Practical automated data augmentation with a reduced search space

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:54.975729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4f467f-11f8-4eed-ae9b-543f0636cfe9 · inbound

NormalView: tree species classification from backpack and aerial lidar data using geometric projections cites this paper.

NormalView: tree species classification from backpack and aerial lidar data using geometric projections RandAugment: Practical automated data augmentation with a reduced search space

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-03T18:25:32.200089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fb475c-8a3d-401e-bd6d-089e993160b8 · inbound

Information theoretic underpinning of self-supervised learning by clustering cites this paper.

Information theoretic underpinning of self-supervised learning by clustering RandAugment: Practical automated data augmentation with a reduced search space

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:22:23.091943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.