Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning from Noisy Labels with Deep Neural Networks: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.08199.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:10:02.458802Z
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
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
91
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 e867ecc2-8d17-4307-91c1-8cb0c7e01c80 · inbound
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops cites this paper.
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops Learning from Noisy Labels with Deep Neural Networks: A Survey
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:10:02.458802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c74876f4-f423-4504-8861-469cd44fa75d · inbound
Biomarker-Based Pretraining for Chagas Disease Screening in Electrocardiograms cites this paper.
Biomarker-Based Pretraining for Chagas Disease Screening in Electrocardiograms Learning from Noisy Labels with Deep Neural Networks: A Survey
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:06:01.413165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6d1112b7-4b1b-4334-af12-1328ac79be73 · inbound
Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.
Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Learning from Noisy Labels with Deep Neural Networks: A Survey
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T00:28:42.993109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3b373e37-7469-4900-9d8c-c0fd2a6e3c0d · inbound
When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies cites this paper.
When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Learning from Noisy Labels with Deep Neural Networks: A Survey
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:51:31.443070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c036c3f-c3f5-4e15-a1a4-37316ebec9e7 · inbound
Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels cites this paper.
Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Learning from Noisy Labels with Deep Neural Networks: A Survey
Reference 129
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:49:46.481043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.