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Paper Citation Record · LEDGER

DataPerf: Benchmarks for Data-Centric AI Development

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:54.442231Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:c7d2bc46cdbcdeaad471e3f95308f0983e5e9d6ad778ad9b17d45d4368bb580c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T16:29:56.727145Z digest=sha256:ea8a87b8c4eacf09524d6f12b64b8b27bf5c2a48a905ce04a0d5825133b60dc9

Observation f8903f92-0cb4-4772-ba30-5c3b91a06f03 · inbound

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

CleanPatrick: A Benchmark for Image Data Cleaning DataPerf: Benchmarks for Data-Centric AI Development

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:54.442231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:54.442231Z digest=sha256:26e30b5ada2300e5d783d1cc2d07c5a62d4bd2841deb69497d2e6b35ac0b0210

Observation fa740b1c-991d-402a-9fed-cd8fff952d83 · inbound

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research DataPerf: Benchmarks for Data-Centric AI Development

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:17.142692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:17.142692Z digest=sha256:dd9a307559ada5f56cd94f5258ed7f61ba6863c1aac34bc94f1cea00dc450d56

Observation 2816a4c5-0974-4b90-ba69-f1f93a633ea7 · inbound

Importance of User Control in Data-Centric Steering for Healthcare Experts cites this paper.

Importance of User Control in Data-Centric Steering for Healthcare Experts DataPerf: Benchmarks for Data-Centric AI Development

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:44.360465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:03:44.360465Z digest=sha256:2a8be8386939b31f6784b874271596dff20575fc7dfa87fc0341e1250f9844d0

Observation bf90073f-fd15-494a-bd4c-486039363c87 · inbound

Cognitive Agents Powered by Large Language Models for Agile Software Project Management cites this paper.

Cognitive Agents Powered by Large Language Models for Agile Software Project Management DataPerf: Benchmarks for Data-Centric AI Development

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T17:59:30.181137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:30.181137Z digest=sha256:9c7ef87f4dfa56ca2c060bad4e94330665aa84c209b7c4c348ca3b6d0e12e386

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T03:27:59.466519Z digest=sha256:583d36c879dcdbd7fedd4aa6c124a043733c19e83e0cb5096cad40d16b62f056

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.

source=pdf_text observed=2026-08-01T02:42:55.512734Z digest=sha256:48beabd89a2e00f6b9af3177c277b22c0a3a37af788198125dd7d2c18df29249