Paper Citation Record · LEDGER

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations

As of 23 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2509.04515.

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

pith.paper-citation-record.v1
2509.04515 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:22:28.931604Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:13:05.250230Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b90ea235-724a-4754-b354-2c56def0c10c · outbound

This paper cites Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T11:22:28.998841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a66c4e50-0182-4423-9a4d-3529e04783f4 · outbound

This paper cites Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T11:22:28.924525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622121df-74cf-48ba-a82e-70aa2df0bf7e · outbound

This paper cites Counterfactual Fairness Is Basically Demographic Parity.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Counterfactual Fairness Is Basically Demographic Parity

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T11:22:28.975602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 927d0d52-beae-498b-938b-16f219f9a04c · outbound

This paper cites "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:22:28.931604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e78ca6-e081-4f1e-a3fe-96054ea6fbaf · outbound

This paper cites Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-05T11:22:28.908722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d15539b-df98-4f42-a030-a1bb35909cff · outbound

This paper cites In-Contextual Gender Bias Suppression for Large Language Models.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations In-Contextual Gender Bias Suppression for Large Language Models

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T11:22:29.021923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af4078ca-3d89-4c4d-9860-15e808c2d554 · outbound

This paper cites Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T11:22:28.916208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d26b48b5-575b-46e0-8e92-b7fa0edf811b · inbound

Neutrality Bites: Gender Representation in AI-Generated Animal Stories cites this paper.

Neutrality Bites: Gender Representation in AI-Generated Animal Stories Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:21:14.014041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.