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Paper Citation Record · LEDGER

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.02922.

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

pith.paper-citation-record.v1
2108.02922 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:37:19.067723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:02:37.750924Z

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 9579fad2-66c7-4188-8b82-1f56423c4eb5 · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:37.755721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T06:00:56.578343Z digest=sha256:3ea4dda06ee7d270e22ba64fa75c3db3bb0165f86e1c35fe9bacdc0f3e5182a5

Observation da2f533f-a151-4a8d-a0e3-554fe5a542c9 · inbound

Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation cites this paper.

Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T15:37:19.067723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:37:19.067723Z digest=sha256:ee19c21c7a858c1ab4fd8df8abda33a4c2d9bd56e73a98166a33ed5123e70dcd