Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Unified Post-Processing Framework for Group Fairness in Classification
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.04025.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:07:04.865930Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T18:57:31.655991Z
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 c67a88dc-e23c-453f-aece-ee7409a5eb2d · inbound
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing cites this paper.
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing A Unified Post-Processing Framework for Group Fairness in Classification
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:07:04.865930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fff050f7-9608-4766-97de-a3c1b0345f32 · inbound
Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives cites this paper.
Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives A Unified Post-Processing Framework for Group Fairness in Classification
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T18:57:31.658151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.