Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.05935.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:08:24.217434Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:26:26.160845Z
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 6eb22d96-ad66-434b-986f-e5bd8a9f0963 · inbound
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models cites this paper.
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:08:24.217434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d92aec5c-460c-40d6-a976-0c1f5b8e7637 · inbound
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning cites this paper.
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:02:18.929205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5898bdd-9f7c-4ccd-a0e7-6179485d0d53 · inbound
SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data cites this paper.
SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:26:26.162542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.