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Paper Citation Record · LEDGER

Label Noise Types and Their Effects on Deep Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10471.

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

pith.paper-citation-record.v1
2003.10471 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:18:18.602708Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:18:25.634212Z

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 1f985276-6f52-4f7b-acc8-4f9281013c38 · inbound

Improved Stochastic Optimization of LogSumExp cites this paper.

Improved Stochastic Optimization of LogSumExp Label Noise Types and Their Effects on Deep Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:17.623915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:17.623915Z digest=sha256:04ddd5a04749427b098e26e9ab8c6ace1e64785aea0a0e48e7604b1cc21a5a92

Observation b2f4ec14-f067-4ace-af57-1c095d3d9212 · inbound

Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping cites this paper.

Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping Label Noise Types and Their Effects on Deep Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:18:25.719926Z

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=2026-08-06T04:18:18.602708Z digest=sha256:ff76d58dbf7a077e63d086095e39c7f9a95c70874c8eb5c88dac2164f397ff6b