Paper Citation Record · LEDGER

FairML: A Julia Package for Fair Classification

As of 15 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2412.01585.

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

pith.paper-citation-record.v1
2412.01585 v3

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:23:40.822732Z

measured 7 of 7 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

verified exact2
verified fuzzy1
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b978372a-0583-42b0-9a90-017ff49732ec · outbound

This paper cites Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making.

FairML: A Julia Package for Fair Classification Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:23:41.006283Z

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.

Observation 9754dee2-fcbc-4109-bacc-f46d141118e7 · outbound

This paper cites FairGBM: Gradient Boosting with Fairness Constraints.

FairML: A Julia Package for Fair Classification FairGBM: Gradient Boosting with Fairness Constraints

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T04:23:40.868018Z

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.

Observation a689dbf6-38b7-48bb-b93e-dd50bdff9546 · outbound

This paper cites Joint use of over-and under-sampling techniques and cross-validation for the development and assessment of prediction models.

FairML: A Julia Package for Fair Classification Joint use of over-and under-sampling techniques and cross-validation for the development and assessment of prediction models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:23:41.014268Z

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.

Observation 031fa54f-b65b-4ad5-871f-94c5a38a3e8a · outbound

This paper cites DataFrames.jl: Flexible and Fast Tabular Data in Julia.

FairML: A Julia Package for Fair Classification DataFrames.jl: Flexible and Fast Tabular Data in Julia

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T04:23:40.990151Z

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.

Observation bc877a6b-6ab9-4016-9cff-71bfe665179f · outbound

This paper cites Aequitas Flow: Streamlining Fair ML Experimentation.

FairML: A Julia Package for Fair Classification Aequitas Flow: Streamlining Fair ML Experimentation

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T04:23:40.856981Z

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.

Observation fe21bbe1-996a-43d3-b249-d9d6ca6b3cd0 · outbound

This paper cites A Convex Framework for Fair Regression.

FairML: A Julia Package for Fair Classification A Convex Framework for Fair Regression

Reference 671

Resolution: unresolved; no resolver link, observed 2026-08-12T04:23:40.806711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44cc0b6-f1c6-4532-95b5-12947e039dd8 · outbound

This paper cites FARF: A Fair and Adaptive Random Forests Classifier.

FairML: A Julia Package for Fair Classification FARF: A Fair and Adaptive Random Forests Classifier

Reference 970

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:23:40.846285Z

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.

Pith citing papers

No inbound Pith citation observations are available.