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Paper Citation Record · LEDGER

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances

As of 9 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 0 inbound Pith citation observations for arXiv:2507.04641.

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

pith.paper-citation-record.v1
2507.04641 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:47:49.916225Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

96 of 96 outbound references displayed

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  • verified fuzzy15
  • unresolved77
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External citation measurements

No source-named external measurement is stored.

Outbound references

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Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

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Observation 9e767800-5230-44b9-9b4f-72c165d1f2e6 · outbound

This paper cites write newline.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances write newline

Reference 2

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Observation 5b964ff3-0a69-4d78-a881-b9abbb636422 · outbound

This paper cites A.; Scheidegger, C.; and Venkatasubramanian, S.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Scheidegger, C.; and Venkatasubramanian, S

Reference 3

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Observation 5620201e-8863-4e7e-b56a-9766b79aabcb · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa42a2c2-ab5a-42ca-9a8b-c41f835c463d · outbound

This paper cites Challenges in Measuring Bias via Open-Ended Language Generation.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Challenges in Measuring Bias via Open-Ended Language Generation

Reference 5

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Source-reported events for the cited work

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Observation 0c0a1e16-7823-4ba9-95a2-d008ad683cbc · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9406c533-8772-4dcf-9d9e-1e8c83a938ba · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aace35b2-c0de-4f05-bd02-f92d40285e79 · outbound

This paper cites A.; Brubach, B.; Desmarais, S.; Horowitz, A.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Brubach, B.; Desmarais, S.; Horowitz, A

Reference 8

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This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 521cb289-8901-433f-b012-3c4dd1e2a148 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

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Observation e64a457b-1a37-45fb-a64a-355832d3bfb0 · outbound

This paper cites K.; Dey, K.; Hind, M.; Hoffman, S.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances K.; Dey, K.; Hind, M.; Hoffman, S

Reference 11

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Observation d58b0832-5736-4178-be60-518abd9cbca0 · outbound

This paper cites Troubling Taxonomies in GenAI Evaluation.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Troubling Taxonomies in GenAI Evaluation

Reference 12

Resolution
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Observation bf48a49d-70cd-40d3-96ad-69632cca90fb · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 13

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Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 14

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Observation 8e6bb505-b43e-41fc-bae8-54b17ab16aa5 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 968ce9a1-1c75-4780-8b2b-a0bcc3c2b9a4 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 16

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Observation 28aa6aeb-05cf-40d9-aa3a-34e014562d5a · outbound

This paper cites L.; Lopez, G.; Olteanu, A.; Sim, R.; and Wallach, H.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances L.; Lopez, G.; Olteanu, A.; Sim, R.; and Wallach, H

Reference 17

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Observation 25035bbd-107b-4cc9-adc5-3ac8ffcf1397 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances On the Opportunities and Risks of Foundation Models

Reference 18

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Observation a2626b52-3e22-4c6d-ae11-2ec339274c02 · outbound

This paper cites R.; and Dahl, G.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances R.; and Dahl, G

Reference 19

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Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 21

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Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 22

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Observation af6876f6-c484-4e59-9825-bebba693732c · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 23

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Observation 7c6f5834-0c92-4a10-9071-75a89bfddc77 · outbound

This paper cites A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts

Reference 24

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Observation dfd9d2ac-b51a-4bd8-beb1-d933afaf025e · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 25

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Source-reported events for the cited work

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This paper cites D.; Nilforoshan, H.; Shroff, R.; and Goel, S.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances D.; Nilforoshan, H.; Shroff, R.; and Goel, S

Reference 26

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites L.; Madaio, M.; Daum \'e Iii, H.; Harrington, C.; and Wallach, H.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances L.; Madaio, M.; Daum \'e Iii, H.; Harrington, C.; and Wallach, H

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 735c7da6-e59f-4af5-9c5f-e8eab208a2e5 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f367ffb9-27db-44ac-9e7d-4cc2bef47ecd · outbound

This paper cites L.; and Talat, Z.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances L.; and Talat, Z

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8f9ca003-e8cc-4c0a-a8c1-891e0a573edb · outbound

This paper cites K.; Calders, T.; and Berendt, B.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances K.; Calders, T.; and Berendt, B

Reference 32

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Source-reported events for the cited work

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Observation c3d095df-2606-451b-acec-975145b905a6 · outbound

This paper cites H.; Yildirim, N.; Chang, M.; Eslami, M.; Holstein, K.; and Madaio, M.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances H.; Yildirim, N.; Chang, M.; Eslami, M.; Holstein, K.; and Madaio, M

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d7b15599-4772-4f4c-8e61-f26f37ac9c47 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cd53ba1b-1654-49a6-b168-e6783eaa7208 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.152620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.790653Z digest=sha256:5fee1fcaf92d494ca8052ed6e4f2c0acb3732d042491fb6384b0b663625a86a5

Observation b99568bf-ffc5-46ae-a93c-e0a997c9782f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.141640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.909811Z digest=sha256:c010083066895391198428244ee36e9d0496278ab1d470d7096a59f23b68c405

Observation a2db39ff-98f6-4006-a51e-1b00d5d75180 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.130516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.015058Z digest=sha256:f48cf50ae2dd3ff1ea6c575c7bd7324d527b5064bdce953a1a88bdb6d8ab1839

Observation 768fe598-a15a-4847-8b9f-2d68b2d810ec · outbound

This paper cites L.; Klein, D.; and Talat, Z.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances L.; Klein, D.; and Talat, Z

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:53.118117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.174912Z digest=sha256:adeafe41f0b0a1423a4890104b4c7586de90409ba71b9955791ae3c0bd13b2d5

Observation b68acfc6-2a9a-4b7e-be0e-5e362189379f · outbound

This paper cites Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:44.314915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:44.314915Z digest=sha256:e986e6ec9771b40f0fe3401474a5b58a548772daaff46e0f9e4e7bc72e215bac

Observation 64d27567-b1da-4fc9-a954-f724550a9e0c · outbound

This paper cites A.; Scheidegger, C.; and Venkatasubramanian, S.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Scheidegger, C.; and Venkatasubramanian, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:53.103628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.462822Z digest=sha256:8bc9976a030d635d9d4eef2012a3f517d1768b8ed69fd3cf5a8c14a25c67bc7d

Observation eaa651a2-baf6-4ee2-bace-2f84823d38b8 · outbound

This paper cites The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:47:50.685535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.565152Z digest=sha256:479bc4d62ab308c3089ae4967f01ab05874dd5873e3911d9c24ca93a1a5596b3

Observation c41aee77-7493-4f09-9c0c-493770793458 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.088504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.694203Z digest=sha256:ac169c3e22317365f597aac8c5de691392e4ae95c5cd51868e80466ca3f7834b

Observation 8e25be8b-1c7e-49f7-a053-985c30518cf2 · outbound

This paper cites O.; Rossi, R.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances O.; Rossi, R

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:53.075681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.801513Z digest=sha256:5ce512839c56768580a12962c64d0ffe5e853e8bc399e0f726bd3e79381e6f45

Observation 8d27e831-6f66-470b-bec2-366f3ac1b999 · outbound

This paper cites S.; and Chouldechova, A.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances S.; and Chouldechova, A

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:44.923449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:44.923449Z digest=sha256:6b79430125ff44022ac6a34c9fd040e193abc609ef71c1a169f3d32c78b029b3

Observation 0b2b9dfb-bada-4597-a703-69803034cdcd · outbound

This paper cites Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:45.039922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:45.039922Z digest=sha256:e97c6fbc8d5369886ad45cb62d72b874c018db766fd77e04d68c5551cc679915

Observation 345a2fc4-bef9-411f-a2a7-75ac4ce10575 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.063363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.130718Z digest=sha256:489276f827383264dc6fed0f24e88b7316ef0f019a876731a7ed95bec5de2ef8

Observation b99f0607-5bde-4907-983e-bf5ae46662e4 · outbound

This paper cites Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:45.252044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:45.252044Z digest=sha256:c2d467efd96395fb4f717fed2e927c2885bdd6002f81f9e9e159250db18a0040

Observation 3f60d3f9-50af-405e-9a5b-d4f9210c3737 · outbound

This paper cites P.; and Krause, A.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances P.; and Krause, A

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:53.053360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.336359Z digest=sha256:a67a1bd1f4c373860b4f94b020deabaf35af7b4be88b5c1d1aa876472e219450

Observation f8a09bef-58a4-407c-968c-478ed09c3ecb · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.040276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.403668Z digest=sha256:8c3c497ad1d01215b89b0c5946e81f09f399bc8a1b389f188c0ddc7222db6472

Observation d1dbfb48-0e28-4dfc-b782-89127dde50d7 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.028722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.479536Z digest=sha256:6aa750da50acd4455f04f723eee1037492ec7b225b843ee30e920fa0a1314b03

Observation 1fb4aa5a-d88f-49f3-9fb5-233a87b8bc6f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:53.016669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.559975Z digest=sha256:470b3831cb93405bfc028c310d74ca65e53ba8f90fee1a5c9d3cf9c412cef4c1

Observation b26c4dab-76c6-481c-8d7d-28712716397c · outbound

This paper cites L.; and Luetge, C.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances L.; and Luetge, C

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:53.005610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.652958Z digest=sha256:e01208ac5cda1258558f88c1db76598cec86d11a20fa930b89ecd8093d2bca8d

Observation f8269d50-2fd9-475d-b53c-1374664a32b7 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.995545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.755649Z digest=sha256:7692965a2c157297af6370b2ac8f02bacf19337d2236866dc91d724a964cde53

Observation 12f85423-183a-4a23-a823-15d744104d45 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.984626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.904675Z digest=sha256:0e73493c3f0a963f2dd632be8b21cebc4cff5d49aed697c10d61106e4234f874

Observation d3d8cf40-7deb-4cb0-a3d7-47fe18a7c49f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.973122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.968050Z digest=sha256:fee6048b0b75d99f008cbce5fa0035073f7a0b957cfa3c9d6b8a4fcaf2b7dc28

Observation ef4bcd0c-7197-4e1c-8ac3-ff6ed3436fc7 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.962771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.048482Z digest=sha256:ad59449806acae2d13c44ce4c712c86e391fa8ff0054afef0be5a1c90a11499b

Observation 177c433e-6d18-4fcd-b0fb-084e869ece8f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.952535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.124547Z digest=sha256:d44775faf6be9eaa2b6b9c598fa12224a26b82a20c085c29a02d0c3f8406566c

Observation 782c069a-01c9-423f-b282-1f3988cd5499 · outbound

This paper cites A Survey on Fairness in Large Language Models.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A Survey on Fairness in Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:46.196103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:46.196103Z digest=sha256:a58247ae60f48d464f1a1f47d154c5d56adaa2892bfc997af19d0a9e2ba99123

Observation 4a4bf49c-402e-4618-9f6d-3ce0e18e69a8 · outbound

This paper cites Holistic Evaluation of Language Models.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Holistic Evaluation of Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:46.292328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:46.292328Z digest=sha256:c604b40aa11be2ced6fa37674c9057e244f284768d57be23b9961c065d1e1f6e

Observation 6c9e0a5d-1036-409b-90ef-89a866aa792a · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.938244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.437004Z digest=sha256:29a600af898fe2e24b87d98f9bde8dc0525f602e6f54f0366f2527c8631d57fc

Observation f650c0da-1250-4734-b8d9-f5d51213e267 · outbound

This paper cites ECBD: Evidence-Centered Benchmark Design for NLP.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances ECBD: Evidence-Centered Benchmark Design for NLP

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:46.544145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:46.544145Z digest=sha256:a531338af6282416f9867dc00b1205811d618a9ae9a70b1c58e05e1a7f9e85fc

Observation 8b77f4dc-f6d9-47e8-8e39-b1ec32adbff1 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.921839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.629065Z digest=sha256:dc3a4b3d82aa9a8cfa6547cf3aee78050d4a3b5cfb805df4858b04b2c1486da9

Observation 4a14c0d5-175b-4f27-b6d2-5ca57b654c21 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.908476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.728611Z digest=sha256:2b5047feb041b3ee7a3622e6c7694db577a45e5f7d88b9eff24b6d4f5f229f72

Observation 5295273f-0467-4ff6-b2e9-19d59ee09a24 · outbound

This paper cites A.; Chen, J.; Wallach, H.; and Wortman Vaughan, J.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Chen, J.; Wallach, H.; and Wortman Vaughan, J

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.896733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.830410Z digest=sha256:d1a18c8a54c5cf8154c04f9845619769c341ccfef7d5a70d09bd24a95ad010c6

Observation 753f5e68-a96d-4bfb-a48b-98c47059e72f · outbound

This paper cites A.; Stark, L.; Wortman Vaughan, J.; and Wallach, H.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Stark, L.; Wortman Vaughan, J.; and Wallach, H

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.881469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.866271Z digest=sha256:80f682e57d4f6a828aa65179be3e9fef089ae5cbef98e449607a8b7f7e327fa1

Observation b008048a-b429-4959-ba18-aad2dfb8eeea · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.865146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.998972Z digest=sha256:6e4254433cdd68f3770ad7b8fb79176d4828d155918e9bbf96d69c0b76bb636f

Observation 5517017e-7c02-4160-95bd-3685e59ca4dd · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.850857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.125678Z digest=sha256:ddde14bc248097b8db5281c166c518bcb37c61963f49b904cf4c027cafbd3015

Observation 84f7ff70-0a96-4f08-a212-1cedb6719262 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.833730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.207346Z digest=sha256:1c5e4231d7f511fefc27984f88f7e3775754be56b69b811a60993bc20dbd69dc

Observation a3db6767-da9a-489c-8a59-30064be132e3 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.819568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.334056Z digest=sha256:6346aa77675cb37f3d196e5bc5f713418a2f51e7cf97c7f04b1adcf7baf9d6cc

Observation 94d38750-a266-4f8e-a359-6bbc8ee9f6f8 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.805743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.410297Z digest=sha256:768c27e00cf5c085e30c28934c9735a6ae741546ce2515aac3d602a1212f227b

Observation 3711d2ed-3d23-4920-a10f-a212be66249e · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.791760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.509427Z digest=sha256:c990d1e845ff35236b2fb07bf398ebbd8f910be267dde9bc654cb9ab7a65a087

Observation b803ffb0-0fee-4744-81cb-a06a561b2ac4 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.779250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.565697Z digest=sha256:e98fd166c908182988c48c762df7dc1d0b4d42d56c7df03d974d89e237e8cbbf

Observation e42759b5-e551-4b75-8fe1-7682da6f352f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.764934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.689642Z digest=sha256:4ca2878d107a42b4ea4044be21d7d6e9ce4e8070267c9918a904f66b8c802010

Observation 2f05e24e-b421-4f01-914a-ebc607a1192b · outbound

This paper cites D.; Denton, E.; Bender, E.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances D.; Denton, E.; Bender, E

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.749884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.798926Z digest=sha256:93bb58d5b4d5fe70efc35f988c241db97bcbe8a5684a4f1994be08bf03306d2e

Observation f8cbbc8e-b733-4d65-8f2b-dc1e2097be94 · outbound

This paper cites Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:47.899051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:47.899051Z digest=sha256:64020bbab1930680d61cd0989c9a81e2c802c53fbf06970a294ee377a451fda1

Observation 25631a3c-f388-49cf-b8fc-e7713770243b · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.736219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.048288Z digest=sha256:944dfb63f39c336072ac65cd7b0224a319af742dfd0848e27f1c48fc60f9ff90

Observation cfde11f8-b9de-4542-8bb3-075f6e287cff · outbound

This paper cites E.; and Trannoy, A.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances E.; and Trannoy, A

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.718911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.120917Z digest=sha256:1b981c2266ccc0b7f92c6bf017228c454a858237a219733cfc717bc2f2a2bf97

Observation f9442566-88ee-4551-a4d4-d8d9a2ec02fb · outbound

This paper cites Towards the Right Kind of Fairness in AI.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Towards the Right Kind of Fairness in AI

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:48.220494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:48.220494Z digest=sha256:d33cfd3e6a354c8c8f6b455992337d8e8ecfcf853555e2d91b3aade267e4a75b

Observation ac6aed0e-7815-4cd8-963e-1e5d65cce1d1 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.702495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.350589Z digest=sha256:3b7119884aac5850067715636d75ad45980779b57c200e302962921bcaaef382

Observation 07ff4b01-0659-4989-b930-c8af9e172efe · outbound

This paper cites Aequitas: A Bias and Fairness Audit Toolkit.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Aequitas: A Bias and Fairness Audit Toolkit

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:48.460933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:48.460933Z digest=sha256:ba87aa1117fdbc2c72b244ce8efc9eb02e4fd2983e21d5f003c6a28656980fdb

Observation c3c3b176-8f70-459f-959e-8bc5a0e3378f · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.680819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.516359Z digest=sha256:39b4f0f709e511c730d8df92a646f91f2f35458f577d13a5fb2c9744b42f2f12

Observation b9d05ac2-106a-402a-9e8f-d9a67d27a5fc · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.594780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.616912Z digest=sha256:259cc282b5c43c6c452c348408227295188abe316ff86229c3787f5e828a51a7

Observation 3d23bdfa-b315-41e3-b935-c83f94904845 · outbound

This paper cites A.; Huang, K.; DeFilippis, E.; Radanovic, G.; Parkes, D.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A.; Huang, K.; DeFilippis, E.; Radanovic, G.; Parkes, D

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.414805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.703776Z digest=sha256:cb937ca88973800fe6edabb94986cebee15cac28bd119fe65a9a0c8f14bb6119

Observation 94914c96-874f-458c-b365-bfbfc439606a · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.232163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.772048Z digest=sha256:caa36060168df10f768151b37daf611b313a32d32ab590c5e5eb86ca518162a9

Observation 7489d87e-7caf-4361-a41c-9e8eb475cc6a · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:52.009544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.872454Z digest=sha256:bf2a4a7ebcf05f252b521814509af12faa416e5af5c749f0fbfb31e887a694ed

Observation f2c0fcd7-f6e7-48ea-bc80-eea567de7dbc · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:51.891177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.942743Z digest=sha256:2ebf58c3548f8f50d938a426c1f4ee407ed734ecfe413809ba7f74d91ddffc5d

Observation e87714c9-5230-42fa-b605-4ca05ff1147b · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:51.657599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.060251Z digest=sha256:9177ff9af784c34efac2f96b000e9450fa3548bd44601c976c3919046efb8575

Observation 23134ee7-8d91-4f89-98e8-16cd47cb6399 · outbound

This paper cites The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.136261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.136261Z digest=sha256:f6779a0e6f7c346b31a5d9c3dd184fdedb51967e23aee00428711b4766d67240

Observation ec3b74c0-76c0-4f1b-a5b5-5a7896c9135a · outbound

This paper cites Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Evaluating the Social Impact of Generative AI Systems in Systems and Society

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.258993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.258993Z digest=sha256:df98acdc86d449bac49899e49d440f2d0ea78879ee88268e467e005a8b1bc7f9

Observation 6bd9535d-8cc2-4c8a-af6c-81b54b64ad49 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:51.454881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.310729Z digest=sha256:aaab33a07d525971e7f6a4d0154ef513c687d492b7f01ba59f74c09a1c1a566c

Observation 2c97c0cc-c696-4c0b-b594-a0669ea2943a · outbound

This paper cites Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.516194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.516194Z digest=sha256:05ffd218aa82ad75010045c80735c9ec7f95eb2f9c6a364769f627fa2c086957

Observation ebffc4dd-bde9-4521-8394-ec3c846f83a6 · outbound

This paper cites Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.653189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.653189Z digest=sha256:3abc01cb30d84c436004a115226af7af22e19ac947e76e9849f71b9663bbd34e

Observation f7cfbd7a-68c1-44c8-afab-0d7e4cfacf49 · outbound

This paper cites Holistic Safety and Responsibility Evaluations of Advanced AI Models.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Holistic Safety and Responsibility Evaluations of Advanced AI Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.716375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.716375Z digest=sha256:f109e684020f65bf8985912188716163ed61752c77f663c85400774345bd90c0

Observation 8b973ad6-b883-47bf-a536-559b06e27047 · outbound

This paper cites Position: Measure Dataset Diversity, Don't Just Claim It.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Position: Measure Dataset Diversity, Don't Just Claim It

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:47:50.177138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.761280Z digest=sha256:b663f9284c594bb3e6253b9f960adcfef8a82bfdd88aa210a5c49d8f7e66b751

Observation 5a5eeb3d-ad4e-4eb4-807a-a8526dd0d0aa · outbound

This paper cites Don't Make Your LLM an Evaluation Benchmark Cheater.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:49.856525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:49.856525Z digest=sha256:9653d7cf00bf3ed66750a6ca26282d5d8edbd363a3fefd152920fac4537e10a3

Observation 05caf2a9-da28-427e-bb99-41f7af37cef1 · outbound

This paper cites an unresolved cited work.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:47:51.272947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.916225Z digest=sha256:989f458e43d2b4d4565929b87db96a2a5fc4a003bd3c465ca3494f8cb4ec46b6

Pith citing papers

No inbound Pith citation observations are available.