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Paper Citation Record · LEDGER

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation

As of 9 August 2026, this Paper Citation Record lists 100 of 266 outbound references and 0 inbound Pith citation observations for arXiv:2608.05418.

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

pith.paper-citation-record.v1
2608.05418 v1

Coverage vector

measured 100 of 266 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:49.318578Z

measured 100 of 100 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

100 of 266 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved97
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 003ede19-29db-4fa1-905d-d8137200b8b3 · outbound

This paper cites 2022 , url =.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2022 , url =

Reference 1

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Observation 947ccdb1-c726-4377-acf7-46282bbcc750 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 2

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Observation 7ddcc17e-c891-43c3-bade-7632524cdd26 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 3

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Observation 7edab207-17f8-4dda-bac6-1087efbbe412 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 4

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Observation 25c38b8f-74e5-4a4c-9621-dd2551d2a028 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 5

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Observation 7e5eb4d1-72d0-4d83-974c-32674fe304d2 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 6

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 7

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Barter, M

Reference 8

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Observation b5feadb0-cbcf-4dc1-906b-529e95b450ee · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 9

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This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 10

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Annual Review of Criminology , volume=

Reference 11

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Neville, Scott and Scheidegger, Carlos and Venkatasubramanian, Suresh , booktitle =

Reference 12

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This paper cites Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , pages=

Reference 13

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Reference 14

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 15

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Turchan, Brandon S

Reference 16

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Observation 033235d4-89ff-4334-8117-58479457a12a · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 17

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation optimal routing paper] , author =

Reference 18

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 19

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Observation 8832271a-a308-4ef5-ad35-455a3e552397 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , journal =

Reference 20

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2016 , howpublished =

Reference 21

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Fairness in

Reference 22

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , journal =

Reference 23

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Observation 73dbab50-b921-4731-b115-0b95dfe69326 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Forecasting

Reference 24

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Sorenson, Susan B

Reference 25

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Observation 412e5918-b2c3-4177-a668-648eda562d00 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , year =

Reference 26

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems , pages=

Reference 27

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Observation c2e4734c-b38c-4258-85f3-d3fa4afe6ece · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Evidence of What, for Whom?

Reference 28

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Intelligent Video Event Analysis and Understanding , editor=

Reference 29

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2021 , howpublished =

Reference 30

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Observation 25636799-6ee3-4b60-98ce-32db8f7f1b27 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 31

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Advances in Neural Information Processing Systems , volume=

Reference 32

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Statistical Science , volume=

Reference 33

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the National Academy of Sciences , volume=

Reference 34

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 35

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Observation a86b99d3-96e9-4041-aba0-4329316b524c · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 36

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Bridging the gap between ethics and practice: Guidelines for reliable, safe, and trustworthy human-centered

Reference 37

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Observation 7a29290d-355f-46de-a3cf-5c4e6b76bf63 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Closing the

Reference 38

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , publisher=

Reference 39

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , howpublished=

Reference 40

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source=arxiv_source observed=2026-08-08T13:35:49.051402Z digest=sha256:7fe180bfd42df3fe1b44e2d66e85553868c8c3cae598cfd5ac448c7be3699b6a

Observation d56a1881-79d7-47cb-b394-a4d21d392bba · outbound

This paper cites Proceedings of the ACM on Human-Computer Interaction , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the ACM on Human-Computer Interaction , volume=

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Observation 0b110901-28b0-4bca-9e89-4f7be1fbd036 · outbound

This paper cites Continuous auditing and monitoring in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Continuous auditing and monitoring in

Reference 42

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source=arxiv_source observed=2026-08-08T13:35:49.059941Z digest=sha256:e4b83ba49e18e00cf621f1e5fe268816530556308c224ead3d0c7cd8cad75155

Observation ff07aeae-0a86-41c8-9437-140fc27cfd87 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-08T13:35:49.064286Z digest=sha256:aa556470e770271cb7ede1568005a59cee27d50c4309eec7d24def6d91648988

Observation b97dd246-3c40-453f-99c2-f95798e677fd · outbound

This paper cites Brussels: European Commission , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Brussels: European Commission , year=

Reference 44

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source=arxiv_source observed=2026-08-08T13:35:49.068844Z digest=sha256:53aad596c9205250ebd71e806e634d4207d2cf46e60879809b328fe873b9f522

Observation b28d7c71-1169-4b87-83cf-27f7b3686aee · outbound

This paper cites Paris: UNESCO , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Paris: UNESCO , year=

Reference 45

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no resolver link, observed 2026-08-08T13:35:49.073695Z

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source=arxiv_source observed=2026-08-08T13:35:49.073695Z digest=sha256:38b02dd84234c5862bc87b26fee7dec1c8d0681eaa3ad59bedbe954c8b709b2a

Observation d8d62d20-410d-4a1b-aed7-44175daf25ad · outbound

This paper cites Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 46

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source=arxiv_source observed=2026-08-08T13:35:49.078170Z digest=sha256:7ee0a2fa48b648c952b8d1b64a38ee32fd712ebf175abdacde1373a707217b49

Observation a8bb3b0d-fcab-4ed3-bce6-bd26298d454c · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-08T13:35:49.082596Z digest=sha256:eff5db978469d9f86b6ec3b77cee7151d56cfa52e5e5a5da137284ebd775fc6b

Observation 8b5395f0-7d0d-41aa-ba90-7bee67ad1549 · outbound

This paper cites The Operationalization Gap: The Challenges of Translating.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Operationalization Gap: The Challenges of Translating

Reference 48

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source=arxiv_source observed=2026-08-08T13:35:49.086925Z digest=sha256:4483ebe4d6b5b737a3817f19bc59200fb2eb8e6d45b6bae2c546f0538e81a5ed

Observation 1469cc2d-bea2-49bc-b375-9095b151884e · outbound

This paper cites 2023 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , publisher=

Reference 49

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source=arxiv_source observed=2026-08-08T13:35:49.091528Z digest=sha256:6c312cda779b303be7e956c9f3e6d536752eb65781267db84ff5c1a19058a8a1

Observation dccc2925-6df6-4c80-bbec-c285cf2f1d72 · outbound

This paper cites Toward trustworthy.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Toward trustworthy

Reference 50

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no resolver link, observed 2026-08-08T13:35:49.095998Z

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source=arxiv_source observed=2026-08-08T13:35:49.095998Z digest=sha256:05d5eaed3c63f15ed07c86232c2efb556519eafffd4af93a8cd6d53dd7a640a2

Observation fa164039-7b00-4c8c-856c-6eeb2c92d02e · outbound

This paper cites 2023 , institution=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , institution=

Reference 51

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source=arxiv_source observed=2026-08-08T13:35:49.100347Z digest=sha256:af0ce532b0e7a855296947989de0c7a9e0117c807a5a54982f318462695d9bf8

Observation 3ddcdb02-9ab8-4817-8b55-a23b731747f3 · outbound

This paper cites 2025 , howpublished=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2025 , howpublished=

Reference 52

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source=arxiv_source observed=2026-08-08T13:35:49.104550Z digest=sha256:5c41df5fd96c6bb65023deb8af23239f766b163dcfc5c3fc815955d54a7896ff

Observation 93d2f7b8-748c-4d7d-befa-c26953d9d840 · outbound

This paper cites Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 53

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source=arxiv_source observed=2026-08-08T13:35:49.109071Z digest=sha256:552e160d051f49bd6545ca8379e7e63131f20e2eb64d0a5accc78601e0477823

Observation 43684850-ab39-49de-99e3-5c5d19a4a10a · outbound

This paper cites Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial

Reference 54

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source=arxiv_source observed=2026-08-08T13:35:49.113387Z digest=sha256:5ed0d40ced64e81433c737b57a980c80921eccb325f2643cf585abc4b33be6a8

Observation 4e7da40f-91d9-45b0-8439-12e3c4543d71 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-08T13:35:49.117573Z digest=sha256:2f29e4355ff7186ff964b3f0ab304576f390124ae3e9ad9e922a1a836d2c258d

Observation 81e4cca9-47bb-4442-b63c-77c3026ee957 · outbound

This paper cites Lessons for Human-Centered.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Lessons for Human-Centered

Reference 56

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source=arxiv_source observed=2026-08-08T13:35:49.121807Z digest=sha256:7a83405249469c5d33bfb7a7eb4e07cd78c0a278c18dc1280a241b602dde37dd

Observation 4cc26d82-0127-407f-a913-9fd9fba156b5 · outbound

This paper cites Proceedings of the 2023 IEEE/ACM International Workshop on Software Fairness (FairWare) , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2023 IEEE/ACM International Workshop on Software Fairness (FairWare) , pages=

Reference 57

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source=arxiv_source observed=2026-08-08T13:35:49.126014Z digest=sha256:dc1dbf761c913407fdd8dc0b296c50315201fec2616c029718170e4692f94347

Observation d99e8961-b7c4-4f74-9272-adba9789ac2e · outbound

This paper cites Government Information Quarterly , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Government Information Quarterly , volume=

Reference 58

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source=arxiv_source observed=2026-08-08T13:35:49.130350Z digest=sha256:7184996c7ddd1931cc0f392c4f2abe3fa8a758c7070ec0c5e5cdcdb77c2c9567

Observation b734577c-0779-4091-b0dd-e1899c3bde40 · outbound

This paper cites The challenges of auditing.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The challenges of auditing

Reference 59

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source=arxiv_source observed=2026-08-08T13:35:49.134873Z digest=sha256:22cd018cf58331df3b0f22821f938f5908c9e37cce38bef33355086816430f32

Observation de6f40b7-e1fc-4055-b1a6-70fc9f2a3ddc · outbound

This paper cites 2024 , journal=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , journal=

Reference 60

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no resolver link, observed 2026-08-08T13:35:49.139326Z

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source=arxiv_source observed=2026-08-08T13:35:49.139326Z digest=sha256:8001daa1cf4d57360eab0282c665565356da445fa3452a810cb89c4831403763

Observation 24529be5-b37f-46c8-8d75-9c5bdd8662c4 · outbound

This paper cites 2024 , month=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , month=

Reference 61

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source=arxiv_source observed=2026-08-08T13:35:49.143980Z digest=sha256:3e12dd210c2e626dda8e7d6aac0f27722f71bb92351af5107ed1024bcd27b4c7

Observation a92dab73-cdef-490a-a868-48c17e3fca9a · outbound

This paper cites 2024 , howpublished=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , howpublished=

Reference 62

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source=arxiv_source observed=2026-08-08T13:35:49.148394Z digest=sha256:997c1ebf37cffab3f4ebd02813e14bbea45560c167b28f11c876c172f8125923

Observation c531987c-bea2-4f80-b9e1-b37244b6135d · outbound

This paper cites Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 63

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source=arxiv_source observed=2026-08-08T13:35:49.153168Z digest=sha256:55a637606b67a3a52d571219697c549ad41fe2daaa068d0192883fe2d9cfeedc

Observation e9965383-9187-4797-a016-48c5d61a9191 · outbound

This paper cites 2026 , month=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2026 , month=

Reference 64

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no resolver link, observed 2026-08-08T13:35:49.157659Z

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source=arxiv_source observed=2026-08-08T13:35:49.157659Z digest=sha256:de66d211e3239a9de7d9c0d238f247e0f9882f0f6958a677b090a9945d65ac85

Observation 1c4c592d-fa68-4e7d-b9cd-c03372f78546 · outbound

This paper cites Neural Delay Differential Equations: System Reconstruction and Image Classification.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Neural Delay Differential Equations: System Reconstruction and Image Classification

Reference 65

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verified exact
local_arxiv, observed 2026-08-08T13:35:52.310610Z

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=2026-08-08T13:35:49.162066Z digest=sha256:a2c96a249dee85f096d51d9fd428231c14ace5017006bdd53e07c609185c2377

Observation 91e4983a-0264-420e-afcc-08a4fff55f64 · outbound

This paper cites The $\Lambda$-type P-wave bottom baryon states via the QCD sum rules.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The $\Lambda$-type P-wave bottom baryon states via the QCD sum rules

Reference 66

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source=arxiv_source observed=2026-08-08T13:35:49.167376Z digest=sha256:c061a52954b9c801ea7940cc2af4a36a76e526b50a3271aca7e9fbb9d50427ab

Observation d33365ca-3a4c-4184-ae8a-baaf59e609db · outbound

This paper cites A Case for Civic Participation in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation A Case for Civic Participation in

Reference 67

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source=arxiv_source observed=2026-08-08T13:35:49.171920Z digest=sha256:299e87a2dd059fb36ccdd5837eaf2eadad03b4ca9522aacc1007fe25b4888dae

Observation 38101c74-83b6-4e04-b28e-72a5ee0172e8 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-08-08T13:35:49.176414Z digest=sha256:a07ec728ce6daa6a31b4e36942b1dea945715e021649503a2d1e1178dceb0ad9

Observation 89d0b2db-38a9-4472-b43a-4cc64e8d63eb · outbound

This paper cites ACM/JMS Journal of Data Science , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation ACM/JMS Journal of Data Science , volume=

Reference 69

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source=arxiv_source observed=2026-08-08T13:35:49.181065Z digest=sha256:4306b735a4473796305ad9d5c852f6d35d2cb446b5dede68770b2907cfbcd566

Observation d4ea00eb-7b2c-454e-8ce7-9f46e8b4e7cb · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-08-08T13:35:49.185320Z digest=sha256:b597cca2d0bc41ff9a0260afdd49f003ba885c213b51eb45c9ddc3515a544e71

Observation 983ac2ae-0193-448e-bc9b-3ba871608aca · outbound

This paper cites , note =.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , note =

Reference 71

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source=arxiv_source observed=2026-08-08T13:35:49.189660Z digest=sha256:aa96aabd297a029eb47adaf8b90e176fe90e2927a127dfd754f0abfce3cf3e23

Observation dd324322-6aac-4327-a7d1-86b8f4085f8e · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 72

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no resolver link, observed 2026-08-08T13:35:49.194014Z

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source=arxiv_source observed=2026-08-08T13:35:49.194014Z digest=sha256:c62b7e6d5d393fe3c61e607f69cce62a6ac51fee0c9662e84e349f925964def8

Observation c31d0f7f-4ee4-483b-8214-19948b94c7c9 · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 73

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no resolver link, observed 2026-08-08T13:35:49.198226Z

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source=arxiv_source observed=2026-08-08T13:35:49.198226Z digest=sha256:982954da26a5bfafa5c8ae594724e90f871e416b30d28e29ffcc332b3c129c0c

Observation e16f59e9-9cdf-4440-9331-15c327733991 · outbound

This paper cites New Pythias of public administration: Ambiguity and choice in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation New Pythias of public administration: Ambiguity and choice in

Reference 74

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source=arxiv_source observed=2026-08-08T13:35:49.202697Z digest=sha256:56ce81db4e7f8d3cce93baa34bf3dc132be93f197504dfaaed6390c96103b76c

Observation dce1025e-6126-41c4-bf85-bbcaf35ff42b · outbound

This paper cites Fordham Urb.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Fordham Urb

Reference 75

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source=arxiv_source observed=2026-08-08T13:35:49.206976Z digest=sha256:1fcdafc9d52466cae2ce466ec91c0de594c8860c3b19411ea8007b7fcf6b5310

Observation c4522944-a5d4-4186-ab90-ee4b42394a00 · outbound

This paper cites ACM Conference on Fairness, Accountability, and Transparency (FAccT '24) , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation ACM Conference on Fairness, Accountability, and Transparency (FAccT '24) , year=

Reference 76

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source=arxiv_source observed=2026-08-08T13:35:49.211229Z digest=sha256:c56978cadbe4051d6c2c155b4f0461808ec2b8f48b12ffbeea1d05b41839251e

Observation 169e62ae-583a-44ac-8852-5eaf7d7888e9 · outbound

This paper cites Nordic Social Work Research , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Nordic Social Work Research , pages=

Reference 77

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source=arxiv_source observed=2026-08-08T13:35:49.215836Z digest=sha256:a1f5e6bdafa373055a35997981f150de4c764b1139c61ad252be8cdc04b684e1

Observation 387b10de-c9c7-4686-be9f-df45397131c0 · outbound

This paper cites Big Data & Society , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Big Data & Society , volume=

Reference 78

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no resolver link, observed 2026-08-08T13:35:49.220336Z

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source=arxiv_source observed=2026-08-08T13:35:49.220336Z digest=sha256:1be5b92dc4c44e0a8025a34086cad79445cd67d73c0a3be90e16ae1e5d3c7bb8

Observation e574da57-d710-4d1a-aca0-6e0f3e4319fc · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 79

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source=arxiv_source observed=2026-08-08T13:35:49.224865Z digest=sha256:4bca5f5a7cdf6da2e3475390d1bc8722b489f8eee1c6502ad001dd1af82549c7

Observation bf5ebbf2-08a0-4306-9a71-b937785f9b3b · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-08-08T13:35:49.229405Z digest=sha256:3b3cba3aa5c4ed39af58c1fd51997cb4e85055bcbd123d961915d66c7e8d5d5e

Observation 6c1e1bd9-b208-42f4-92eb-24f47f4e6773 · outbound

This paper cites The Alan Turing Institute , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Alan Turing Institute , year=

Reference 81

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source=arxiv_source observed=2026-08-08T13:35:49.233778Z digest=sha256:a70ec04d6efea03826956892ddbb2b0332f71dc9a86afb9ad057429a378caf2d

Observation 90a4519f-768a-44bd-99fa-a8732fe43af3 · outbound

This paper cites Big data and.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Big data and

Reference 82

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source=arxiv_source observed=2026-08-08T13:35:49.238407Z digest=sha256:7623051ddc46d823201bd504e6a1f6079a20e81ed505012b23bcda78c2c8883f

Observation 732b4c26-e844-4c73-af60-c4432ec38023 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 83

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source=arxiv_source observed=2026-08-08T13:35:49.242531Z digest=sha256:871427005f17ad76c22a5ceaca933101db4e093808b234346d12846baf72c373

Observation 779aa470-8f32-43e9-bf9b-522aa048c7a5 · outbound

This paper cites Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a

Reference 84

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source=arxiv_source observed=2026-08-08T13:35:49.246850Z digest=sha256:38f2a00175a834148a928191608325886c08b2bb40f978dfe584f989578c03bd

Observation 79a52ec6-cafa-4e30-971e-19969f372366 · outbound

This paper cites International conference on machine learning , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation International conference on machine learning , pages=

Reference 85

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source=arxiv_source observed=2026-08-08T13:35:49.251396Z digest=sha256:5bc085d8a180f4b8340bc200fa6fa5894e9398d9e5927bc369908fbecfbf05aa

Observation 69fd4e26-2b58-46c8-be2e-f11c3156ffa0 · outbound

This paper cites 2024 , eprint=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , eprint=

Reference 86

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source=arxiv_source observed=2026-08-08T13:35:49.255709Z digest=sha256:2d10244faeede32a363937c20ff21e4e8237ac54db45757261b953dbfc2f1d8f

Observation 32f77ade-6476-409c-aeb2-cd6704142ff5 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 87

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source=arxiv_source observed=2026-08-08T13:35:49.260056Z digest=sha256:7e0844cc18411be3d9e1379fe365d057e0cb0896ee95fade2db408db22f61c27

Observation 77ee2b1e-3308-4c78-9b3c-223858787f76 · outbound

This paper cites Northwestern University Law Review , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Northwestern University Law Review , year=

Reference 88

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source=arxiv_source observed=2026-08-08T13:35:49.264387Z digest=sha256:f119263c7cface53fa4d912b57a960aae9410c2bdc4fb19666422d09e334c69f

Observation f79bc050-75e4-4a1e-ab2c-020c79a8ff9c · outbound

This paper cites Computer Law & Security Review , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Computer Law & Security Review , volume=

Reference 89

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source=arxiv_source observed=2026-08-08T13:35:49.269009Z digest=sha256:ef6b16267a636ea0adfa68142b42c389ea2686e5d187b7f5f640713bff3c3725

Observation 40b2813f-13d7-4739-8f6b-15b0ab4bda05 · outbound

This paper cites Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization , pages=

Reference 90

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source=arxiv_source observed=2026-08-08T13:35:49.273533Z digest=sha256:f432c453f8d866e2524ca3996b25c3b2669215ad229eb659e4c3a9e78b65c82d

Observation 2ac09bec-83dd-467e-98b7-88b913b78230 · outbound

This paper cites International Conference on Machine Learning , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation International Conference on Machine Learning , pages=

Reference 91

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source=arxiv_source observed=2026-08-08T13:35:49.278078Z digest=sha256:6380e9f382be6ab4b3d8986240ed24ca2550746a110f78392bf863bb565f9a90

Observation 0330e780-5955-4dfa-a772-4099dcae066f · outbound

This paper cites The Measure and Mismeasure of Fairness.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Measure and Mismeasure of Fairness

Reference 92

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source=arxiv_source observed=2026-08-08T13:35:49.282410Z digest=sha256:29203f22b8bab2720b84f68163f53945dfba4f79da9709eacf0228faff518386

Observation f7a94add-d30d-48d3-be70-1c38d923413b · outbound

This paper cites Communications of the ACM , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Communications of the ACM , volume=

Reference 93

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source=arxiv_source observed=2026-08-08T13:35:49.287601Z digest=sha256:4b68ded840ecb0c2484da2915565912c48abfcecfda820865c3862dd6a7ba2fc

Observation 40c5692c-b115-45d5-9b89-8e0d005e402b · outbound

This paper cites Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency , pages=

Reference 94

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source=arxiv_source observed=2026-08-08T13:35:49.291988Z digest=sha256:dc70fe418c93a9dc4a8dd8d0e6f8c3b9ffb6d9e54558c9757b3dba6c8cdc9491

Observation 2e450712-91b5-46d5-8d62-76fc6e2acb23 · outbound

This paper cites Sociological Methods & Research , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Sociological Methods & Research , pages=

Reference 95

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source=arxiv_source observed=2026-08-08T13:35:49.296535Z digest=sha256:a5b3933599b36ed6c8f8230dd7e8bb78f3b5605f067101e4f8085b7d991b3378

Observation d4ce84e5-4059-4b49-943b-7d4b64d3328d · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Uncertainty in Artificial Intelligence , pages=

Reference 96

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source=arxiv_source observed=2026-08-08T13:35:49.300856Z digest=sha256:e79ee16415dcfe51384e7700296de4cda5ffcc02044ffd505f297610063785a1

Observation f11d8eb1-06fb-485b-9f93-b6b8068ff824 · outbound

This paper cites Artificial Intelligence and Law , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Artificial Intelligence and Law , volume=

Reference 97

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source=arxiv_source observed=2026-08-08T13:35:49.305185Z digest=sha256:0dcdc50f328544c56884d6cfff2a5e542a7dbd52c3a7d9e0d9d344b8d1cd260d

Observation dc0354e1-c3cf-4186-b6a5-999da79fe320 · outbound

This paper cites Information, Communication & Society , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Information, Communication & Society , volume=

Reference 98

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source=arxiv_source observed=2026-08-08T13:35:49.309719Z digest=sha256:25b531c6e798c4e6381f4de3704bfd86d9757f2850a39730bc9fdf1a6e7e449d

Observation 8ac534ae-c523-4b3d-a7f5-0b84ed03c970 · outbound

This paper cites Proceedings of the conference on fairness, accountability, and transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the conference on fairness, accountability, and transparency , pages=

Reference 99

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source=arxiv_source observed=2026-08-08T13:35:49.314173Z digest=sha256:a7a643b0d5a1f883872af5d95e584c75a034a327f55a7112cef3ca6d272306dd

Observation 65dad834-4745-4363-b268-bf30c126f713 · outbound

This paper cites Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=

Reference 100

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source=arxiv_source observed=2026-08-08T13:35:49.318578Z digest=sha256:baeea7711cd11e4c563403411fb70150df1a8d8ad517802d4cba226a6ce7708d

Pith citing papers

No inbound Pith citation observations are available.