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Paper Citation Record · LEDGER

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.16088.

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

pith.paper-citation-record.v1
2401.16088 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:41:06.203631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:45:47.264963Z

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 2591b30f-826f-4d82-addf-c18e34eebaf1 · inbound

Learning-Augmented Robust Algorithmic Recourse cites this paper.

Learning-Augmented Robust Algorithmic Recourse Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:45:47.268098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T19:45:25.857449Z digest=sha256:52b125cd9751459b64b4f5acb7cb0194b443ed018da872168a90d93cbc696b01

Observation 77b453ab-543e-4600-96e8-05de3afbded7 · inbound

Analyzing Fairness of Computer Vision and Natural Language Processing Models cites this paper.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T16:41:06.203631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:41:06.203631Z digest=sha256:2116b5ac9a70db2722f392c6efd682a8a4b59c966657ba56c19279b51600b3da

Observation 6456de68-31d6-47a6-8680-ff00e5f5c1d9 · inbound

From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse cites this paper.

From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:15:56.460869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:45:08.444345Z digest=sha256:4c393019f2abff8003504f7401796312763caaa3374c03b36c4539185c59c68c