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Paper Citation Record · LEDGER

Active Learning for Noisy Data Streams Using Weak and Strong Labelers

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.14149.

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

pith.paper-citation-record.v1
2010.14149 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:58.689988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:07:27.304477Z

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 a5089fea-f370-4d21-bfc8-2597fe7ce977 · inbound

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning cites this paper.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Active Learning for Noisy Data Streams Using Weak and Strong Labelers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:58.689988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:58.689988Z digest=sha256:2ce1c4fd5db21b9093434f38b5a58b0fd53b5f7163312fda3eabe1087fe69cb1

Observation 0d0a188d-3643-4d49-98d0-1936dbe15cfa · inbound

Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency cites this paper.

Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency Active Learning for Noisy Data Streams Using Weak and Strong Labelers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:07:27.306017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T18:26:15.124912Z digest=sha256:71788efc7d8761c9df28d14a9f5e375339b8d1ff2d27ef8ff199b93bcdefe6ed