Paper Citation Record · LEDGER

The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2201.03954.

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

pith.paper-citation-record.v1
2201.03954 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:17:17.957151Z

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

28
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 f18cfc67-3535-46ba-ad5e-1291133895bc · inbound

Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation cites this paper.

Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:17:17.957151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e229b0b7-92ad-444c-884f-844ffc09a32a · inbound

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation cites this paper.

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:05.070765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018e8ff9-a4d9-483b-a884-dc2c2ff83056 · inbound

A case for data valuation transparency via DValCards cites this paper.

A case for data valuation transparency via DValCards The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:21.908668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fc5dd6-7a3f-4e01-96aa-423e1e8f35de · inbound

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study cites this paper.

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 262

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.277570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31672b20-0abf-41f5-a0f6-be21cfbfbbb8 · inbound

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study cites this paper.

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 255

Resolution: unresolved; no resolver link, observed 2026-08-03T16:18:35.381967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac53077-1af9-4dd9-b375-1581ae2aa29c · inbound

Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development cites this paper.

Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:22:00.670620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.