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Paper Citation Record · LEDGER

Learning from Noisy Labels with Deep Neural Networks: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.08199.

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

pith.paper-citation-record.v1
2007.08199 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:51:31.443070Z

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
  • 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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:48:51.293430Z digest=sha256:6f3d2eb14089199005cca8e594cb3eef7014a3a39cbc7d11d81b8b2dd6bdfbd6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T00:27:41.609691Z digest=sha256:6277a2f20b166235a8a2082b67de3cb118543673e2c1b64778d6cdb4ce5fe7c3

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.

source=arxiv_source observed=2026-08-02T05:51:31.443070Z digest=sha256:d59627a71834c6cbc31eb7bf6bd4523f200c460b5c298f18f60198575bf91641

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.

source=arxiv_source observed=2026-08-01T16:49:46.481043Z digest=sha256:c3921b04f9bed1eb0af5d899878407761838abe66845f4f72ea88b6eb7393c18