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Paper Citation Record · LEDGER

AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.14695.

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

pith.paper-citation-record.v1
2311.14695 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:08.771326Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:04:36.414877Z

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 130f94e4-733f-4054-af1f-2a0fd4801a7c · inbound

Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models cites this paper.

Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T11:00:08.771326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:00:08.771326Z digest=sha256:39fa21ce9cd137407603e9c17a2d5a3574325e7e445860a76522a6dc4c8c51c4

Observation 2ba0d606-e489-480a-997c-caa579eab2cd · 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 AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:33.868862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:33.868862Z digest=sha256:1a0604e3deab61de3f2c1bfa49bb9cf55143eee77539259ba2c1d7f17a09cfc1

Observation 7cd93b46-db94-41a9-90c5-751fda7946a4 · inbound

REConnect: Participatory RE for Social Sustainability cites this paper.

REConnect: Participatory RE for Social Sustainability AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:04:36.421315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T13:04:32.723990Z digest=sha256:7895bde7c4c1757c62c133c0802e0295142a0bb5614628132867fd8b3aec3182