Paper Citation Record · LEDGER

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.04130.

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

pith.paper-citation-record.v1
2102.04130 v3

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 2026-08-07T14:52:58.668849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:32.657620Z

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 f5207766-56dd-44b1-9c04-94b33044a54f · inbound

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models cites this paper.

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:58.668849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7bfdecc-19f4-43f1-8414-b159b7ff1939 · inbound

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models cites this paper.

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:15.514412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a130c9-d127-4b81-a57c-ff43c352c9ea · inbound

Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.

Understanding and evaluating computer vision models through the lens of counterfactuals Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:30.929240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d61e173-42ea-4c88-a369-82036c5d6430 · inbound

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation cites this paper.

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 245

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:11:12.891909Z

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 fe01d58e-9b6e-4f5f-8286-747be019b38e · inbound

Epistemic Injustice in Language Models: An Audit of Pretraining Filters and Guardrails cites this paper.

Epistemic Injustice in Language Models: An Audit of Pretraining Filters and Guardrails Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:57.037149Z

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 ac39ab22-ba2b-441b-aa0f-5edb88571b76 · inbound

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges cites this paper.

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Reference 255

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:32.660003Z

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.