Paper Citation Record · LEDGER

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1904.09483.

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

pith.paper-citation-record.v1
1904.09483 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:50:12.622681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:04.203111Z

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 469c0340-538e-4dcf-852b-ea50d81c3b9e · inbound

Unfolding Data Quality Dimensions in Practice: A Survey cites this paper.

Unfolding Data Quality Dimensions in Practice: A Survey CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:50:12.622681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc69e8e-19ce-4c88-a88e-707507ee48c7 · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:17.003662Z

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 4e74e161-c574-4c46-b26c-5847d063b4d4 · inbound

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile cites this paper.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:15.481866Z

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 60e2ce79-7be8-4c4b-9dc3-3d5f0bf44afe · inbound

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair cites this paper.

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:19:04.206130Z

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.