Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.16681.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:53:52.719391Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:05:56.889456Z
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 6d358074-6efb-4ab0-9528-2bd6c869fa59 · inbound
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification cites this paper.
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:05:56.892510Z
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.
Observation eb90fc73-0310-4b05-87be-e6789d623692 · inbound
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective cites this paper.
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:53:52.719391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.