Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.04702.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:21.211346Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:49:33.430598Z
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 375bf85c-60aa-4101-84e4-d755a8aafc37 · inbound
Stress-Testing ML Pipelines with Adversarial Data Corruption cites this paper.
Stress-Testing ML Pipelines with Adversarial Data Corruption REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:54:21.211346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5ba39e5-44b1-42d5-94df-fe870296f20b · inbound
A Comparative Analysis of Influence Signals for Data Debugging cites this paper.
A Comparative Analysis of Influence Signals for Data Debugging REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:08:26.357799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a00b0126-4fe1-4260-b94b-b33f82645d88 · inbound
Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.
Understanding and evaluating computer vision models through the lens of counterfactuals REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Reference 67
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T14:49:33.437358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.