Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.12090.
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 2026-08-09T10:29:00.866543Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T18:42:29.107580Z
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 317e08f1-2663-423e-b77a-6148e249ead3 · inbound
Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.
Bias in Large Language Models: Origin, Evaluation, and Mitigation UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:08:12.434631Z
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.
Observation f8c1b134-f22e-4e5c-8d00-9ca07672e497 · inbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems cites this paper.
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:29:00.866543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7cf5a1a-a546-4d04-a9da-7a2a0c50f126 · inbound
A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.
A Survey on Generative Recommendation: Data, Model, and Tasks UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T03:50:52.104697Z
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.
Observation a505b3c4-64cd-4e4b-a445-d8730af8d586 · inbound
DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation cites this paper.
DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:03:39.478203Z
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.
Observation a83e4d0b-5d22-4b35-9eee-5e28859af6ff · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T18:42:29.109194Z
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.