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Paper Citation Record · LEDGER

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.07801.

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

pith.paper-citation-record.v1
2504.07801 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:31:30.730221Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T18:42:29.193792Z

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 153fdd9b-6c7a-41a0-b420-fb91cb76e9f8 · inbound

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? cites this paper.

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T18:31:30.730221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:31:30.730221Z digest=sha256:8c70c12326f0832f8e5fede8c7482923f3586e5d0c30cb8f1b8bf11ec5265afb

Observation c4616f1e-b72b-4338-99d6-54b8c62ce7cc · inbound

Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation cites this paper.

Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:20:06.800667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T12:18:18.407788Z digest=sha256:1225b1cf58c81a6bef78ca9e759fbe701e96d94018efdf1be3878c6780b7e195

Observation e4d1ba9f-1262-448e-87fe-efc7c106ba9e · inbound

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest cites this paper.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:26:02.239481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:11:13.189660Z digest=sha256:8f06990e94bf3acbfb654091c091cdfb703a4e84a3e1273105868aff6c34fc9c

Observation f63dea8d-e5dd-46b3-a32f-add8a465468c · 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 FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.195337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:d562f87a43190e566aab67d3e209d9c606cb68008083faef4a01143d76177c4b