Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What can Data-Centric AI Learn from Data and ML Engineering?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.06439.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:18:54.488535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T16:31:47.150867Z
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 cfa9aaa3-8c7e-4c3c-a30e-ca41c70b6cad · inbound
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models cites this paper.
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models What can Data-Centric AI Learn from Data and ML Engineering?
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T16:31:47.153027Z
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 50879f76-1b1d-42c5-a417-e1546ed087d2 · inbound
Towards Next Generation Data Engineering Pipelines cites this paper.
Towards Next Generation Data Engineering Pipelines What can Data-Centric AI Learn from Data and ML Engineering?
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:18:54.488535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.