Paper Citation Record · LEDGER

DataPerf: Benchmarks for Data-Centric AI Development

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.10062.

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

pith.paper-citation-record.v1
2207.10062 v4

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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:42:55.512734Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

51
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fd03fc3f-88bc-426b-a194-117739b54440 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models DataPerf: Benchmarks for Data-Centric AI Development

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:58:17.115559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b37853d1-5a91-4cab-8abc-2c492b47c2c9 · 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 DataPerf: Benchmarks for Data-Centric AI Development

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:31:47.162595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9386d03d-33a0-4ec9-8ef2-4d40ad84a819 · inbound

Medical Model Synthesis Architectures: A Case Study cites this paper.

Medical Model Synthesis Architectures: A Case Study DataPerf: Benchmarks for Data-Centric AI Development

Reference 273

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:31:18.907189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6be7504d-fa09-4b81-9a2f-b2d725cef06f · inbound

Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines cites this paper.

Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines DataPerf: Benchmarks for Data-Centric AI Development

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:55.512734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.