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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 7 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 2026-08-07T06:34:17.273281+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
  • parse uncertain0
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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

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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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Reference 20

Resolution
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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Observation 52c05611-c009-46b8-bf49-9ed841ac038a · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d104ffb3-001c-4573-b468-79abba83b75c · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.723046Z digest=sha256:0097d74974b2ebe149c70d17b1f7e938f9dcc3016454c82bcd9ee437e30972d9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.790653Z digest=sha256:f500b1c8dad3d7856687d34edc2ea8db12cc254fe3c55b030fcb7bcde6ea84a9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.909811Z digest=sha256:e3ce776519f376874b90ae25444fe9d2ae9c31ab18d55c009b3a059340560628

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.015058Z digest=sha256:5b85fc722c4b0daaced6866232334369207a59bf8078af56b6ca3dcb56b62480

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.174912Z digest=sha256:566b03f398d20bbdba39771ad8406700f5f922b18ba0b588a640c00922b260c1

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=sha256:1a01314dfddce65af915f25fb83f6fa97f86a722d051d602ac4d0e78f5c317a8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.462822Z digest=sha256:34320937c4de8fc44d74201d8816d0ac1a88b01c41d326d9cbf661070bba285f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.565152Z digest=sha256:673e1c79a71e1a08bc84105f07f422f2b5738a3b12f6129aff9ee4a915be9490

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.694203Z digest=sha256:d27f3ae11beb29ee96bd606c05618211ae8fb22709c9c0eb26bd8268307794dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.801513Z digest=sha256:ef996e7b419e7188bd33d083ce1221bd9a02e59126086fff830387caa96a2cb6

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=sha256:632cf1551599a8fa9a36650592daa96c48b788d0d2e71d2acc3b40e6a2643b63

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=sha256:5fd8cdb8c562480109f958b4b27f8ec00a6560705e2697bebb12b510deb2cab6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.130718Z digest=sha256:f7d74c1617d71d8ba50b5af03481adaf45c9ab8266b2a7969c431826b471585b

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:fd72254f77e2ecbefdf96a1b5f3daa8165105a2ce8171cc08992d831784a6f13

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.336359Z digest=sha256:00fd2f299d60d2edd32a23787a6aa60dc79b833b1704e9805d18a78d19e85caf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.403668Z digest=sha256:1dfe912863e791e9f335a92fdb76620cf1797e3d1353ad723f02443735c6112e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.479536Z digest=sha256:74f9b58a6ce2f097c133e91508e00ee91f0896f2ac017afa021b77a10c37d37a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.559975Z digest=sha256:0ab15ffbff5cbd537aa4b7f99b0e759be5d217f65d58b9dc034e5da65d85f5b2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.652958Z digest=sha256:fd71785dac0a695c0df2aae47462326c43ba0851ac2ae82dd34d21085da6624b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.755649Z digest=sha256:76763f77a6af1874813be8f491311bab6a04f0a83000de17c01887e4775c7c97

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.904675Z digest=sha256:26abd0ee334a7febbf234f3734a0dd4c1f754b85a35518073e6def58b8498786

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:45.968050Z digest=sha256:eafed54c87411945a1d4d7e25c36d7e04f019b97382f225bf33ce7b66823b9f3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.048482Z digest=sha256:3ebe99bf9226ab9a7d8d252351b0d7879118b41b20be9a5ca1bf86c78bdc352b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.124547Z digest=sha256:0594b14e3fda2bd90db07eaf05d4583103210cfbb3c370bf47f59316009cd9d2

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:b38bfff0db563c434d604cc7c98eae25366093662e0708a0ad6e7228b537b588

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:e0677fbb7d442ee7e333659dda7da7077baa09e164e936a413dc1877057b4488

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.437004Z digest=sha256:89d78857565d84e066f79f850ba317bfe5c41d5adfc63157e7d8bd8a93930c11

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=sha256:512e5bbe06a3f30e36f8ef289becfb7dd0c749c7b87aec99200aa8d65d3929d2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.629065Z digest=sha256:7412615457d01b12e15921b3b38b7e9bd4027fc944d7b9ef153ac77b7fded85e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.728611Z digest=sha256:6d3a01fc956f79374651f577118811093c0537eb982ff2f45252826843ce6111

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.830410Z digest=sha256:ab5f77cad36a4a066f48f56fcfcef6baae21ebbf5d5cc7dddad60cca0d072ee5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.866271Z digest=sha256:a5433851d925d9110215d87e599fc0a294753b2cd6afbc9803fe1f298dcc74dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:46.998972Z digest=sha256:9249f0d2af1718c62f51f49ef66badce2d2a0a630254393d6ca4d9576755b708

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.125678Z digest=sha256:b8119a439f1c525818f938c4e1391ee6aef2ddbdc2fcd389dd82c99f3266a701

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.207346Z digest=sha256:7967d638e0f00e307b0014d1f965c2df7ccf2de59d7b97a3d958903edf912ef6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.334056Z digest=sha256:4cce270912200ec8dfbe6604b2e17bf57047a6c59dd03ddc85126e05b5bec4ff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.410297Z digest=sha256:9330563c8964addfa150d3f55ed882e1ba98aaad0c30ee11d9a5e5d867879261

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.509427Z digest=sha256:c3b6f651e686f82db979a85ebf1f75ccbd3b7443775b822bd6fbf316e481128d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.565697Z digest=sha256:48e5c401ec51a194657457da9208c70e988f4d69b490a0777e80fb4ebef2b759

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.689642Z digest=sha256:468d8ec28a0eb5e224b567947000f64ac601ac7d4662ff4e16fb4781450136d7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:47.798926Z digest=sha256:facbf5c9bb5d7eab3dfca82cac03bee6e26100db85f399fb3e45e0ed7daba157

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=sha256:7372019ae3c271f7e809321b6dae2484d35e2ece51a52e03b1e38e1ea2fe8b71

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.048288Z digest=sha256:03c8b556243b37b30e90ddae8b77e8b348b566c0ef034e64d1eb4f4346fa81d8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.120917Z digest=sha256:c8e742d95d7d8ed279fccb0bbdd001f316707e863ebbd11f070b3c3773f9e235

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=sha256:3f25354bf6f029f1ca425bd38fa81950229f6d7fed801e057acdfdd940bb16ca

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.350589Z digest=sha256:a21f821726e3e0f9aa0e02f9eb2792e48bce647c8ce173f63a99eb971fd7ebe7

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:b1e74cf08ed64d80ecce1a2c7117e2ed1c6e55f41ddca64722261c08bfcf80dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.516359Z digest=sha256:d51062d1edd766b2746bd25ecb4c2ee14f28f77b49907d8e20c80b43cece0374

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.616912Z digest=sha256:b5bd75060617fddddad8d0a2a23d99e2cc97279e7a26809fee6c5c3bd5a32a5d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.703776Z digest=sha256:9cf424437dcfa3189a172f322ce4a0e514cbdc3f73efb217fe94f71e474654cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.772048Z digest=sha256:100128862fd7eccb5ec39c0a4d40e3414e6552b5d94d9205963e2ec273bb5c24

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.872454Z digest=sha256:7c37afc3e7f4df4a8fcb93dfe934a4ee6147314aaddbcf0772e8a708e436491c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:48.942743Z digest=sha256:54bbee4c97029faabc5d97f58f5983d1ae56674b147036cb0342ffbdb8cdba52

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.060251Z digest=sha256:7853eaa01ed3dcd19336cc49f1ffd5c223356f20bb25124f9389559a66c5cda2

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=sha256:90e4141b765ee952a4116a1405b33d7b2e47f968731165c73a4ca3c76a863a16

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=sha256:7a8771c8993a03f209aa7764391adf7811bd514333bc19bbc1dfafbf799ee2b1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.310729Z digest=sha256:c6dcb97a3b280aeef5e3dc56ec3e5890cabd1ffbeb8c6b72b5f9b2e08c07db2d

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:cfa2ebc96bfd97df4b936585e74141225c040f5579d3eaf97bad4248942b2199

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:eed385101422cd0f1fbc6f3d5349a10624d4becd608bcc5abfe257837939e828

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=sha256:151825849941e76c5d9d4b76dcbf7f0f0df3eb2d8ca808ca0ef508b70a3e60bf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.761280Z digest=sha256:81d65612ca6358fa1d558d22d47921d9fc0463b605932ea6b6781db252de98a1

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:fcdb3f63a4103fe67f98f54a3f35453506f8dcbd231735df5a46a1a7e7e44c3b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:47:49.916225Z digest=sha256:938f4aa261d1cfea8b957588e59b75a8e710a2b3cced84a45506a0df22dce10b

Pith citing papers

No inbound Pith citation observations are available.