Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.06736.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:58:53.810618Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T19:46:25.632312Z
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 37a0ff6c-286b-4b0e-b84f-2e0f56c33654 · inbound
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60070e66-48c6-45fc-85ef-e4cbd3832042 · inbound
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Reference 84
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b733e86-2870-42de-b633-b4fa14fead73 · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0dff60bc-ff4b-412d-befb-6fdef9ca1e4f · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.