Paper Citation Record · LEDGER

Unsupervised Data Augmentation for Consistency Training

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1904.12848.

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

pith.paper-citation-record.v1
1904.12848 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:42.159942Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

1623
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c6f059a-9ba9-4ed1-a993-8818ddd45136 · inbound

XLNet: Generalized Autoregressive Pretraining for Language Understanding cites this paper.

XLNet: Generalized Autoregressive Pretraining for Language Understanding Unsupervised Data Augmentation for Consistency Training

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:29:27.550324Z

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 7f31b1dd-3907-478f-8862-7c8313587c3a · inbound

Efficient data augmentation using graph imputation neural networks cites this paper.

Efficient data augmentation using graph imputation neural networks Unsupervised Data Augmentation for Consistency Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T19:31:10.425809Z

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 2aad9a93-4ff9-4bad-96c5-2863f643d6ab · inbound

Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness cites this paper.

Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Unsupervised Data Augmentation for Consistency Training

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:45:59.648541Z

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 e3eb1eaa-613c-4988-8b2d-4d091e918138 · inbound

Graph Star Net for Generalized Multi-Task Learning cites this paper.

Graph Star Net for Generalized Multi-Task Learning Unsupervised Data Augmentation for Consistency Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-25T18:56:08.931266Z

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 9b6dcb96-159a-4755-9ed3-583f5ed977ef · inbound

Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning cites this paper.

Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning Unsupervised Data Augmentation for Consistency Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T13:04:04.133320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41f9962-90b5-4bbb-9cc8-34d611795685 · inbound

Semi-supervised Learning of Fetal Anatomy from Ultrasound cites this paper.

Semi-supervised Learning of Fetal Anatomy from Ultrasound Unsupervised Data Augmentation for Consistency Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T10:12:12.289967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645a9641-909d-4dd5-9c52-98421ec9b4d1 · inbound

Unsupervised Cross-lingual Representation Learning at Scale cites this paper.

Unsupervised Cross-lingual Representation Learning at Scale Unsupervised Data Augmentation for Consistency Training

Reference 12

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T16:23:29.607024Z

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 b7f9c61a-ede9-4ac9-8c15-2c80688fbad9 · inbound

A Simple Framework for Contrastive Learning of Visual Representations cites this paper.

A Simple Framework for Contrastive Learning of Visual Representations Unsupervised Data Augmentation for Consistency Training

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:31:53.347846Z

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 29a24d3f-1924-4e68-bfce-876c0a3c3755 · inbound

Longformer: The Long-Document Transformer cites this paper.

Longformer: The Long-Document Transformer Unsupervised Data Augmentation for Consistency Training

Reference 126

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:29:58.787222Z

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 200c7892-8632-4512-80d0-d761264483fd · inbound

Emerging Properties in Self-Supervised Vision Transformers cites this paper.

Emerging Properties in Self-Supervised Vision Transformers Unsupervised Data Augmentation for Consistency Training

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:04:51.633642Z

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 ff2db10f-6e62-4606-afa8-d62790602596 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Unsupervised Data Augmentation for Consistency Training

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:41:38.159787Z

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 3fc2f71d-4b99-425b-80bb-c99f02b21c45 · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Unsupervised Data Augmentation for Consistency Training

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:40:24.012741Z

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 b9b7f60c-9ca7-4e28-b50c-d695618d0e41 · inbound

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph cites this paper.

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Unsupervised Data Augmentation for Consistency Training

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:42.159942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9976ea-1669-4b40-86cd-492ecc2a819f · inbound

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks cites this paper.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unsupervised Data Augmentation for Consistency Training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:05:10.645332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1883b75-87af-49a3-859d-f45f826827d3 · inbound

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification cites this paper.

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Unsupervised Data Augmentation for Consistency Training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:52.189938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe97c03-276d-4c41-b523-89dc72bc42a4 · inbound

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts cites this paper.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unsupervised Data Augmentation for Consistency Training

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-05T05:46:10.217012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a83f61a9-4a1d-4d54-aff6-12486ecc6a73 · inbound

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach cites this paper.

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach Unsupervised Data Augmentation for Consistency Training

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:37:56.637165Z

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 f07c14d9-8b30-4329-ae1c-37cbb980bca5 · inbound

Voice Biomarkers for Depression and Anxiety cites this paper.

Voice Biomarkers for Depression and Anxiety Unsupervised Data Augmentation for Consistency Training

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:06:27.735210Z

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 e5a0320b-6074-4cd9-aa6d-9984255358db · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Unsupervised Data Augmentation for Consistency Training

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T02:35:15.956055Z

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.