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Paper Citation Record · LEDGER

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.11548.

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

pith.paper-citation-record.v1
2507.11548 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:20:41.610110Z

measured 50 of 50 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy14
  • unresolved24
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df64892b-2eff-4947-b3eb-3f820c854a2b · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 96034efc-c40b-4689-9853-d52c449b9451 · outbound

This paper cites fast” and more advanced “thinking/slow.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening fast” and more advanced “thinking/slow

Reference 2

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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.

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Observation 9099526c-1834-4b4e-8e4b-13e1601aa1fa · outbound

This paper cites Name Redacted.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Name Redacted

Reference 3

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1992d5ad-9c08-4ffc-b82d-f750bd9081d3 · outbound

This paper cites The candidate was applying for the Director of Finance position in PepsiCo’s Snacks Divi sion (see Supplemental Materials, Appendix A, Item 1).

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening The candidate was applying for the Director of Finance position in PepsiCo’s Snacks Divi sion (see Supplemental Materials, Appendix A, Item 1)

Reference 4

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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.

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Observation 74c26ffc-6cd8-45c5-8c5f-08d99839d0c3 · outbound

This paper cites The candidate was applying for an HR Manager role at a Fortune 500 company (see Supplemental Materials, Appendix A, Item 2).

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening The candidate was applying for an HR Manager role at a Fortune 500 company (see Supplemental Materials, Appendix A, Item 2)

Reference 5

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verified fuzzy
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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.

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Observation f241342b-077d-4231-9363-7a8ea740480b · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 6

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 67cc193e-b5ef-48ec-837f-de092ab50c66 · outbound

This paper cites Chan and Walter J.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Chan and Walter J

Reference 7

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verified exact
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Observation 60ae8003-0aa2-4c8e-979e-6ed59ffdf9b7 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 8

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verified exact
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e457c3f5-198c-417f-b318-6060a52d7849 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 9

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Observation ccb46e17-d952-43f8-81b8-fcef2f79a9d5 · outbound

This paper cites Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions

Reference 10

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Observation cf1f4a66-a260-489c-93cf-ea3af9b410e7 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 11

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Observation 0e045243-dcfe-44cc-be26-c002ffe2a432 · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Reference 12

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Observation 142dd51f-8c51-4c95-b48b-6fa03658fcd7 · outbound

This paper cites 2025 Job Seeker Nation Report.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening 2025 Job Seeker Nation Report

Reference 13

Resolution
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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.

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Observation 36264469-6d88-4c22-b3d7-9a39b9cf6d15 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-06T18:20:41.387385Z digest=sha256:0bc694d5ca248464a05131bd297c7716a08e2cd76b99512272539bf992327067

Observation ac17a3fd-3ff9-4378-901b-93194bdef98d · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e9c2ec05-85c8-4381-92e5-ec86af5a8276 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 6ec4d54c-8f7b-493c-8ef2-286e11e02652 · outbound

This paper cites Correll, Stephen Benard, and In Paik.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Correll, Stephen Benard, and In Paik

Reference 17

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verified exact
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ce318e08-2af9-4af0-9f76-b52534a707c4 · outbound

This paper cites Insight - Amazon scraps secret AI recruiting tool that showed bias against women | Reuters.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Insight - Amazon scraps secret AI recruiting tool that showed bias against women | Reuters

Reference 18

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Observation 5b222ce6-086c-4dc6-bed0-decb25d10ebe · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 19

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verified exact
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2e6e52a8-6f44-48da-970c-e732985e3423 · outbound

This paper cites Downing and Thomas M.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Downing and Thomas M

Reference 20

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ef16507b-f4ef-4449-8d4c-b765fd87f6fe · outbound

This paper cites These methods aim to correct for bias by re-weighting data, adding fairness constraints to algorithms, or adjusting model outputs.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening These methods aim to correct for bias by re-weighting data, adding fairness constraints to algorithms, or adjusting model outputs

Reference 21

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cdbd7cd6-a886-46f2-9521-35188ce6fa75 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 22

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Observation d218b614-b320-4d4a-b012-f533d76c9431 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 23

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Observation 409b9441-277b-4fa5-9221-93939e036b88 · outbound

This paper cites Fuller, Manjari Raman, Eva Sage-Gavin, and Kristen Hines.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Fuller, Manjari Raman, Eva Sage-Gavin, and Kristen Hines

Reference 24

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cc69a4ad-d8f9-40ab-8674-d9739ad57a17 · outbound

This paper cites Thinking.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Thinking

Reference 25

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Observation b596c510-3093-41f0-8ec5-7d2e87e2d679 · outbound

This paper cites Auditing the Use of Language Models to Guide Hiring Decisions.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Auditing the Use of Language Models to Guide Hiring Decisions

Reference 26

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Observation 4fa54929-a2fe-420d-a8ac-89996f5b6411 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 1316b82c-52ad-4513-9fe0-f854d406ce83 · outbound

This paper cites The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning

Reference 28

Resolution
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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.

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Observation a7a9ecd3-3a88-4376-8aff-e5b5fb4054b3 · outbound

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

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Bias in Large Language Models: Origin, Evaluation, and Mitigation

Reference 29

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Observation 45ab81f2-be5e-40ca-8c18-4c0cc7de05c5 · outbound

This paper cites Midtbøen.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Midtbøen

Reference 30

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Observation f2c2ac11-d4a7-47f8-a6a7-13793402a2ed · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 31

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Observation 975a71e1-1198-46b4-acaa-c04d618cf0f6 · outbound

This paper cites Counterfactual Fairness.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Counterfactual Fairness

Reference 32

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source=pdf_text observed=2026-08-06T18:20:41.569490Z digest=sha256:eeef3ab14c82e53bf8a346624da58080948363aa4d5c0dcbd113ccd64fc8fdee

Observation 039dd994-b372-4b95-9fff-e060947aa185 · outbound

This paper cites Something Fast and Cheap.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Something Fast and Cheap

Reference 33

Resolution
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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.

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Observation e0254d99-edeb-4f88-bd25-97ff7cdd0ee7 · outbound

This paper cites The Future of Recruiting 2025 | LinkedIn.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening The Future of Recruiting 2025 | LinkedIn

Reference 34

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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.

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Observation 6b6f0310-c6b0-4793-95c5-f80a6079dadb · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-06T18:20:41.576798Z digest=sha256:aaf6844b6ab400f277a272906c1cee8924e0c95ca45ecc2c84630bc19a47a923

Observation 38e4d547-d54e-41f5-b882-c44fe84a740d · outbound

This paper cites Lin, and Lee Ross.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Lin, and Lee Ross

Reference 36

Resolution
verified exact
doi, observed 2026-08-06T18:20:41.679664Z

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.

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Observation ef6cbd0c-ab9f-44eb-b567-c1bac02bacbd · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 37

Resolution
verified exact
doi, observed 2026-08-06T18:20:41.672250Z

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.

source=pdf_text observed=2026-08-06T18:20:41.581894Z digest=sha256:997e903cc4ec8babdcf6fa21f8787c6f8775ddf085b87b3ca01385fb4cdcea08

Observation 166ef768-e52a-46eb-a54a-84b9b3a2cacd · outbound

This paper cites Pauleen, and Nazim Taskin.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Pauleen, and Nazim Taskin

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.601537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.601537Z digest=sha256:df27c18f77b2308dddafb228d968aa048fd77e4cf47a022cbc902661906042d4

Observation b9b06e94-c336-4814-b289-f73a973532cb · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-08-06T18:20:41.642512Z

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.

source=pdf_text observed=2026-08-06T18:20:41.603887Z digest=sha256:4bf19b69d12a0345c296b6e2b5a9e15ec5fb4de0a7d852601331eeed7f3a9fe0

Observation e9d0e704-1ab5-4b9a-aaac-5803e36425c5 · outbound

This paper cites Half of Managers Use AI To Determine Who Gets Promoted and Fired.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Half of Managers Use AI To Determine Who Gets Promoted and Fired

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:41.981810Z

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.

source=pdf_text observed=2026-08-06T18:20:41.587914Z digest=sha256:7bc477d00f394040de1b006d1242d26dcf3606a51c6fc04b12e071a2e0716b8d

Observation d8ac0345-1ee1-494b-903d-82bd5bb24376 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.590097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.590097Z digest=sha256:9a436e72672d04f0ffa68863cd2770a969cc9279cbdb3c6dd86013711ab2ba4f

Observation d323a639-888e-470c-b106-7e986c9ef604 · outbound

This paper cites Help Wanted.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Help Wanted

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:41.973090Z

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.

source=pdf_text observed=2026-08-06T18:20:41.592067Z digest=sha256:281059be581503f013480d05dc774366ad75bf8ad9e60a2c1a6ba6f5676a9cff

Observation 5586391a-ffc8-4cd1-abe8-ac1e6567987d · outbound

This paper cites What's in a Name? Auditing Large Language Models for Race and Gender Bias.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.594261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.594261Z digest=sha256:7c45fcab3aad880660210b3b6d74a0494de6bdba26418ca2a44cc09a3aef0dfd

Observation 5e28e39f-5297-41e0-866d-48a1526f6dde · outbound

This paper cites Selbst, Danah Boyd, Sorelle A.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Selbst, Danah Boyd, Sorelle A

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.596978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.596978Z digest=sha256:ae62e6bce89bfac63d22560f44f717c9d557c1fc36c64d378b2bc7d8ccf6c0df

Observation 533ddb81-0beb-4906-b10e-5777b673a435 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 45

Resolution
verified exact
doi, observed 2026-08-06T18:20:41.649130Z

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.

source=pdf_text observed=2026-08-06T18:20:41.599353Z digest=sha256:d9e411082e17f9ddb258c484d8f260745208841140ec4caa4b87ea3ebb0de2d5

Observation 8e78733f-04b6-44ea-92b8-792c8d29379a · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 48

Resolution
verified exact
doi, observed 2026-08-06T18:20:41.635710Z

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.

source=pdf_text observed=2026-08-06T18:20:41.606104Z digest=sha256:3f513b1a522a74a2360ed057658e8f73cbd198caa07abc3180c230d813d731bb

Observation 3f1427ac-95dc-41e1-8027-1af935b7dc60 · outbound

This paper cites an unresolved cited work.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:20:41.965824Z

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.

source=pdf_text observed=2026-08-06T18:20:41.608185Z digest=sha256:e89a1823d77079c50d4aa4c7cf2d6dc26b32b081ec7dd3ed2e0faa1d10e27afa

Observation 3aad0759-6345-42ba-af68-13c4adfb768d · outbound

This paper cites Finance” résumé (Highly Qualified) 16 Item 2: “HR.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Finance” résumé (Highly Qualified) 16 Item 2: “HR

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.610110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.610110Z digest=sha256:7c95f4b72c59c3a07e7d6541100eac309e313d9a98ada5be8701fa7ed5ecc34e

Observation 7917b81c-aa27-4896-ab8d-8c4cf439c670 · outbound

This paper cites Illusion of Neutrality,.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Illusion of Neutrality,

Reference 100

Resolution
verified exact
doi, observed 2026-08-06T18:20:42.050576Z

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.

source=pdf_text observed=2026-08-06T18:20:40.448114Z digest=sha256:09d987868aa30963a250263ce91b3a2df8fccfab5f7b05ecfbab7509c03f1b41

Observation cbc85ba0-9b0b-4227-940b-dc49c16fe71d · outbound

This paper cites Retrieved from https://proceedings.mlr.press/v81/buolamwini18a.html.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening Retrieved from https://proceedings.mlr.press/v81/buolamwini18a.html

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:42.034699Z

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.

source=pdf_text observed=2026-08-06T18:20:40.897688Z digest=sha256:b21332598a924fb39e93992231574b15ecf16989fca944faa259174385f7cbad

Pith citing papers

No inbound Pith citation observations are available.