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Paper Citation Record · LEDGER

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06736.

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

pith.paper-citation-record.v1
2406.06736 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:46:25.548205Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T19:46:25.632312Z

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 2b733e86-2870-42de-b633-b4fa14fead73 · inbound

A Taxonomy of Real-World Defeaters in Safety Assurance Cases cites this paper.

A Taxonomy of Real-World Defeaters in Safety Assurance Cases Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:46:25.638438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T19:46:25.548205Z digest=sha256:1e770ad0f99be79417c7a500f5ef1b0f2fb0437a6e18443d03100a4f2c715f9a

Observation 0dff60bc-ff4b-412d-befb-6fdef9ca1e4f · inbound

Transparent and Fair Profiling in Employment Services: Evidence from Switzerland cites this paper.

Transparent and Fair Profiling in Employment Services: Evidence from Switzerland Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T16:46:47.737823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:46:47.737823Z digest=sha256:d7969997748799f556aff96858fb15defbf49097bcd9b2c4acecf2ddec7183d7