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Paper Citation Record · LEDGER

REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.04702.

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

pith.paper-citation-record.v1
2302.04702 v1

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:54.429777Z

measured 0 of 1 external citation measurements

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 34dbc9b1-411a-4bbd-80ab-095735b3d003 · inbound

CleanPatrick: A Benchmark for Image Data Cleaning cites this paper.

CleanPatrick: A Benchmark for Image Data Cleaning REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:54.429777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:54.429777Z digest=sha256:698b3c8cb536b0e69f29fa58ec42d7f1ff9d2610984593a7f0e93bb79939a561

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.

source=pdf_text observed=2026-08-07T11:54:21.211346Z digest=sha256:212965609ce139a3604382a2c22a03970a2196393f241b9c90756661d02b861e

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.

source=pdf_text observed=2026-08-07T04:08:26.357799Z digest=sha256:20703f1524b3ec0c61764c3dc92ef215d3ba0fdd1beb9ee53f9942e148b43a73

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:49:30.364153Z digest=sha256:c9fbedc7198370410eb1645f6e1909bd8164990039c07a46c4caa4f0e411daaf