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Paper Citation Record · LEDGER

Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.06066.

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

pith.paper-citation-record.v1
2411.06066 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:26.900028Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:20:38.542671Z

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 e2657175-79d6-461f-96e2-0dd32dd93df2 · inbound

Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners cites this paper.

Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:26.900028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:26.900028Z digest=sha256:c1aba52a6c63fb87948ac30752dfbb86a84fa90bd3e8ff4ee2abb949470a8fa9

Observation 8570d095-d423-4fc8-a680-ce9993168c9c · inbound

A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence cites this paper.

A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:20:38.615665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T23:20:33.583166Z digest=sha256:ec2fa232cd2aed086184b013a34353877221b78fe004830614c89e538df4d32e