Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fairness and Diversity in Recommender Systems: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.04644.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:21.958240Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:16:58.406113Z
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 4ec270fe-926a-454e-9e10-38da97c69902 · inbound
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems Fairness and Diversity in Recommender Systems: A Survey
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:21.958240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7bc8871-e84c-431a-8426-c6f8039212f4 · inbound
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System cites this paper.
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System Fairness and Diversity in Recommender Systems: A Survey
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:09.891563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af83e275-7e6e-48c3-817d-780e5968e823 · inbound
Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models cites this paper.
Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models Fairness and Diversity in Recommender Systems: A Survey
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:16:58.407456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.