Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:48:08.403077Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T14:01:06.702532Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d37c44ef-ba45-4ac6-a7bb-ad9d4e59bc49 · inbound
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 759c7d84-1e46-4987-9035-d9aa4982039e · inbound
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d667feb-8f7c-4c9a-9511-5b9f553e4abb · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71781dda-2c32-4057-9d60-4fafba39f81d · inbound
Intersectional Fairness in Large Language Models A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Reference 34
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.