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 6 inbound Pith citation observations for arXiv:2305.12090.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.12090 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:21:30.223204Z

measured 0 of 1 external citation measurements

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 512f701b-5513-4ed2-a6bd-5ad863a8f67e · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation UP5: Unbiased Foundation Model for Fairness-aware Recommendation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:30.223204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.