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Paper Citation Record · LEDGER

Deep Active Learning in the Presence of Label Noise: A Survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.11075.

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

pith.paper-citation-record.v1
2302.11075 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:35.259300Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:31:02.654247Z

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 51bc5c31-f75e-4d79-b9c9-748640a438a3 · inbound

Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise cites this paper.

Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise Deep Active Learning in the Presence of Label Noise: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:35.259300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:35.259300Z digest=sha256:c7537f46b46b89df47dada9a6897975949a3f832ae09b180758630e372ec7843

Observation 995e970f-fd4e-454e-8ccd-76ad8d123a22 · inbound

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance cites this paper.

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance Deep Active Learning in the Presence of Label Noise: A Survey

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:02.658918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:30:57.973847Z digest=sha256:e46ec324c9bb3fdf0b789586ac888dc083f03d2249a6418ee1e692a4c9922ebb