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Paper Citation Record · LEDGER

Towards the Right Kind of Fairness in AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.08453.

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

pith.paper-citation-record.v1
2102.08453 v7

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:47:48.220494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:11:27.696115Z

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 f9442566-88ee-4551-a4d4-d8d9a2ec02fb · 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 Towards the Right Kind of Fairness in AI

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:48.220494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:48.220494Z digest=sha256:8c6b50e9a1c7aa4ea88bf01e8597e82a7700953e4fcedc6949fc2663726989ba

Observation d93e7362-2cf2-400c-9af3-c1544584ac96 · inbound

MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness cites this paper.

MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness Towards the Right Kind of Fairness in AI

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:27.698426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T07:29:45.296869Z digest=sha256:e36fb906681808fcda79c9d4664e521e680229792295d617d8847511f815f3e5