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Paper Citation Record · LEDGER

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.03098.

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

pith.paper-citation-record.v1
2405.03098 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:08:43.991185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:08:12.411405Z

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 c51e3805-4a65-4e32-9d34-af29f664851c · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.413898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:08:09.267577Z digest=sha256:d5494ac4379566cae2183c03519495d31ceaecd489e3038101bf3e64ba8b86b9

Observation 6c642ce8-728d-4eac-98e1-d5e0aa782d9c · inbound

Towards Effective Discrimination Testing for Generative AI cites this paper.

Towards Effective Discrimination Testing for Generative AI FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T23:08:43.991185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:08:43.991185Z digest=sha256:701fdd6465908edbcfbd9c6e21766f89d779b59603e0c66b5a4f99ac7777125f