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Paper Citation Record · LEDGER

Position: Measure Dataset Diversity, Don't Just Claim It

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.08188.

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

pith.paper-citation-record.v1
2407.08188 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:03.096719Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:47:50.105582Z

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 002a391c-296a-4350-83e4-a0b42f749512 · inbound

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems cites this paper.

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems Position: Measure Dataset Diversity, Don't Just Claim It

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:03.096719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:03.096719Z digest=sha256:a45deb719bc9e6cb04a27c4bc4f0fbfba74b669d7be439768fd0c7a6c2ad7e9a

Observation 8b973ad6-b883-47bf-a536-559b06e27047 · inbound

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances cites this paper.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Position: Measure Dataset Diversity, Don't Just Claim It

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:47:50.177138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.761280Z digest=sha256:cbadbb86866957ee361aa53793cc543fb6c55246c8bc06fbabe4b3785bd502b3