Paper Citation Record · LEDGER

Confident Learning: Estimating Uncertainty in Dataset Labels

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.00068.

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

pith.paper-citation-record.v1
1911.00068 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:53.786241Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T15:02:41.209886Z

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 e008506c-986c-45fe-95a1-b9a1fe5fa804 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.786241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f722416-ef1b-42ef-8ccc-a375e6ad1f13 · inbound

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training cites this paper.

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:02:41.212989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5eab5441-4bd9-451b-a161-3eee451cecd3 · inbound

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning cites this paper.

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T11:01:24.784050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9854f8c1-c899-44d6-a512-912f090ab722 · inbound

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance cites this paper.

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:14.073575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb514b99-9dfb-41ae-ac39-b5140524b364 · inbound

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges cites this paper.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T10:02:37.068883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.