Paper Citation Record · LEDGER

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.07399.

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

pith.paper-citation-record.v1
2007.07399 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:06:54.852188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T23:48:27.257173Z

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 ee25c546-bd93-44b8-a837-fcb3a8d8a9f4 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:24:30.113420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbf73567-e96b-45ca-91cc-b9c5e206b3b1 · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T15:06:54.852188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aed51757-5fd2-4ec5-addf-f3aaded22af2 · inbound

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives cites this paper.

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:42.435626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e109ac-b78a-4481-84c5-dd31861d1d5f · inbound

Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.

Computational Hermeneutics: Evaluating generative AI as a cultural technology Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:48:27.261028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.