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Paper Citation Record · LEDGER

Unsupervised Data Augmentation for Consistency Training

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:46:10.217012Z

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:29:27.427361Z digest=sha256:fb20e929ed8df8ee150466bac803b648072b2be879990c78e896a1add62e1372

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T19:27:17.296907Z digest=sha256:33bbb631afc8f4554887b42480c5a856d560d869213361f58deea6595b004853

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T15:42:57.529773Z digest=sha256:b011ac83f873f1c4b5af20ee50d89460e6f3e938dda346476950e87deb923232

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T18:54:30.043952Z digest=sha256:e6f7783d2e276623349c0c7efb4a6595b875c976d5ce91e0f776d01a25bf0b1d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T16:23:29.564169Z digest=sha256:29a63f48123ef411f9dbb9ebd50ffac62d93585bb0060fcfd2ce4b2622cbaffb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T18:31:53.283456Z digest=sha256:2e8fd873b7ce0c1962d7065242f7f8355a423ed7b3ec07e2e01f839bbb0882a0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T13:29:58.719341Z digest=sha256:fa7e8af79d18acf712b7fdc55793af3a641699420a5f91462413cacf9a501e7c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:04:51.458382Z digest=sha256:4fcba6d5506d11590f3dd2ac9616e6cabd1906c180a7f2263eb8611942bb05f0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:3351b047949e0600158d0810027a88e206c9b2a58fda916975e7fe9466d88757

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:c27c869ecde74c2bfeccf549f558ce85efaac8210dfd4c8d079a37f120552a66

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:46:10.217012Z digest=sha256:f0cdc16157cde33fe93da0f55794cbd7810068951396798533d9ebe7c4652153

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T13:37:13.043968Z digest=sha256:dcdd60d07ed83f9126f3fc40d416cc43808c986aeecefb0830f511b7171ced45

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:33:48.062678Z digest=sha256:8ae83cbc1a4fda6cfd03369d088e578e7136f25cc9f45b8186c2d11495fd097e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:400735f4cec9e3c62b9a3f310731ad6cc2cb2e8dd9d4adfb6e29b81f0f5d011e