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Paper Citation Record · LEDGER

Combating Label Noise in Deep Learning Using Abstention

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.10964.

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

pith.paper-citation-record.v1
1905.10964 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:09:28.151927Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:22:29.176221Z

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 04781ae3-f964-4a2b-b656-ff37b7464f55 · inbound

Learning Causal Transition Matrix for Instance-dependent Label Noise cites this paper.

Learning Causal Transition Matrix for Instance-dependent Label Noise Combating Label Noise in Deep Learning Using Abstention

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T13:09:28.151927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:09:28.151927Z digest=sha256:073969420cfac8b8df204ae1eadf07870f130a2ee9f42d83ff11afe1e090cc68

Observation 4b57a7cf-c70b-4472-909e-31cc9f10b7f6 · inbound

Admitting Ignorance Helps the Video Question Answering Models to Answer cites this paper.

Admitting Ignorance Helps the Video Question Answering Models to Answer Combating Label Noise in Deep Learning Using Abstention

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:22:29.182883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:22:29.001019Z digest=sha256:ce6929c16cb1f80d24a57b964564490fe93f4e1a3526f77482d25304f4f1eb59