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Paper Citation Record · LEDGER

A Catalog of Fairness-Aware Practices in Machine Learning Engineering

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.16683.

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

pith.paper-citation-record.v1
2408.16683 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:48:08.403077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:01:06.702532Z

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 d37c44ef-ba45-4ac6-a7bb-ad9d4e59bc49 · inbound

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? cites this paper.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T12:48:08.403077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.403077Z digest=sha256:f8b05f2b4186db5ebf2a0cb65f684b7174585d9d5ed6220364804c09f112cad8

Observation 759c7d84-1e46-4987-9035-d9aa4982039e · inbound

Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? cites this paper.

Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T11:01:34.886209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:01:34.886209Z digest=sha256:6758217a570563d3a2543d3125dcdad4edeef9717de36fe15fd0977f182f0cda

Observation 1d667feb-8f7c-4c9a-9511-5b9f553e4abb · inbound

Practitioner Insights on Fairness Requirements in the AI Development Life Cycle: An Interview Study cites this paper.

Practitioner Insights on Fairness Requirements in the AI Development Life Cycle: An Interview Study A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T16:22:56.804839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:22:56.804839Z digest=sha256:7c5848e1b9e5602a87c4e12242607706043b2f26c50cb5404f2d327a9e4a3559

Observation 71781dda-2c32-4057-9d60-4fafba39f81d · inbound

Intersectional Fairness in Large Language Models cites this paper.

Intersectional Fairness in Large Language Models A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:01:06.706774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T23:44:08.610255Z digest=sha256:abd1db7928c75594d846b1ed30b6214bf06989f27a128fff0bf183eda0183a90