Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Impact of Popularity Bias on Fairness and Calibration in Recommendation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.05755.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:24.226670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:35:40.914595Z
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 6555ccbf-32c9-4f0d-b640-74f3b3a104a4 · inbound
Datasets for Navigating Sensitive Topics in Recommendation Systems cites this paper.
Datasets for Navigating Sensitive Topics in Recommendation Systems The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:38:24.226670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17d7fe53-2cc4-4676-8f7b-d1c34740a078 · inbound
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems cites this paper.
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:35:40.916237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0426af2d-0415-456c-9e27-535564095af4 · inbound
From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching cites this paper.
From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:34:48.869937Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.