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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

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

Reference 5

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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

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

Reference 9

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

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

Reference 14

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

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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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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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Observation ae00e8b4-e752-40a0-b253-f05661e90155 · outbound

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

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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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Observation 6651419d-12fb-4f30-8486-92d06619dbcb · outbound

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

Reference 23

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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 =

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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 =

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

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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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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=

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

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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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source=arxiv_source observed=2026-08-08T13:35:49.055588Z digest=sha256:34e5d58f179da2eab01534b807d2a6793082ebc417ba7111c83810dbbcf2bd21

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:d2b663ffd3509360c89d20064ac2a0b00bbc9731f561e4e2a72d8eaad3ab6b71

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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no resolver link, observed 2026-08-08T13:35:49.064286Z

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source=arxiv_source observed=2026-08-08T13:35:49.064286Z digest=sha256:20a851b580db3c269abf0f2d189b51ae5626a9ed1797c7b0df10e1d82e7b9958

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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no resolver link, observed 2026-08-08T13:35:49.068844Z

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source=arxiv_source observed=2026-08-08T13:35:49.068844Z digest=sha256:8b51ed3351a7fce5d4109f29fd8670a7676d8b100e7f5b562a60ed0ac32f3b63

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:d85ac9152d106ae6a55c6b38c323ee00a90fee5162c2770de8d0420fbe87194c

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=sha256:41764d27d3f4780ba2bc12548c947d5e10693ac14ebc87b20f2fe128ca3a8545

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=sha256:3b4195c28ab66830f6c7fe3dbb23e1bb40df430655b9a155ae3b2547742bfdf6

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=sha256:1806d65775d4fcf6f5f27ea04cdc7fc26b8a6cc1caa66c0a845ddd4bae67d75e

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:ca6054288b0323f50584e17b5d4d3ff861f2e7bd8d03388aef15d28d7f8cfb4d

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=sha256:8a6cd249560317492de2124b3362644f161e3e87a5f6d8a942de3c29c0c6fdd9

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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no resolver link, observed 2026-08-08T13:35:49.100347Z

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source=arxiv_source observed=2026-08-08T13:35:49.100347Z digest=sha256:ee508677bd49529f4e75ed59cd5ef2b55970c977028935b8e8d5246fa86a5522

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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no resolver link, observed 2026-08-08T13:35:49.104550Z

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source=arxiv_source observed=2026-08-08T13:35:49.104550Z digest=sha256:b12c7b2dbdb217b1e010b9066b4e427ed6ce0dafacb63dda5d7e27cbaab03a33

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:f088ff382242d3a8506c211c7ebe7d9248bbfaee9b94ecfa854dead8a6f216d9

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=sha256:41e219e698c318a2a98a8351a78b88f74feb5693510de9a1cc1324345a07f1d7

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:c2a730dbbb9a73792f6353c087fc4802cee3ded322fa24d8ae004ded127b07ee

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=sha256:4fd7cadaab4c64d095f28bae25d40b4f05663c36ea2977a4b30dd2d0c1eb9b99

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:e8e6e0f9745148d7f887ca73a889f6c7836fb06966c5e122aaa7985006c9274a

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=sha256:2d854aa5f5007394e19609e52ea84cd4796e1f99b98f249b5b5dad92efcdd050

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=sha256:152de542bbd208da986660204242c7ec1973cc68907b508cfab504877ee949c1

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:def484fe55e2ce031fa49fed86bf8febe55213443d4361e80ffabb536135dbee

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=sha256:100da94423dd4cebd52ef42f8caf478b7a9728d5655102085071c979efe09a92

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:b777b64181fbe9d61b1f7ccda0a3001e7367baf13a966090eeaa21eb88512146

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=sha256:54f8e0ac6410247a328d7e984f5120e27368aebfc2aeaf51ac12264a06a234f9

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:c81710e977fee86bf8aeb375db384cf8e7506ef53816a6c2917ffc511ebbfb89

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=sha256:47a4ebb2fa66bba28d619f12dea9599a657991ef5804ca581a7c0017e83b178e

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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no resolver link, observed 2026-08-08T13:35:49.167376Z

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source=arxiv_source observed=2026-08-08T13:35:49.167376Z digest=sha256:353744d8d4ce64ee05c990ef317b719f309a46dd42de9b6e319cbaad94bd3f3b

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=sha256:9a4b070765f84e904528ff592fa775958aed531029c182c32286db77273fd42d

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:f9c570ec536a4d5262327da751f74945923109f0113c1b250a583a0e1df2765b

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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no resolver link, observed 2026-08-08T13:35:49.181065Z

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source=arxiv_source observed=2026-08-08T13:35:49.181065Z digest=sha256:2f0ad4ff821547515e3f6df222b3b18b06eeafd6fbbe4b5fe3bba516bb93d7d0

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=sha256:00677a2ae3732fa01ca72bd4ea261e5465cd580469f2c953adb8e74cd115fd13

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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no resolver link, observed 2026-08-08T13:35:49.189660Z

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source=arxiv_source observed=2026-08-08T13:35:49.189660Z digest=sha256:f69b140903a1b3d56de10b12a6ca5430799ec6ca1c410437cef919016b8cd8ca

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=sha256:6a9f2e67b996d3fb0c565cacecc7747699d19dc491cad527ba6584e0352143b3

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:ab2460b368e0bca061ce3cfb614753d58240838409894ef3dcde44714c6ca3b0

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=sha256:4cb6d50ac6b8d0a0d97d8b036bf14cdaf527bd26b8b4e127e03bbf6027bd1304

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=sha256:2eb143f406900cd5efd42ac367404a8a6ecaf2d1cc661d64fd3012db5e06c4c5

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:cbc06da06fb7d289668a8556fa95464b09b4554318c6841aa58add06fb40a8dd

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:ac428b8d8d847b6c7d9db95672218724caa6d0169aec3f2f7b1094223eb8b349

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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source=arxiv_source observed=2026-08-08T13:35:49.220336Z digest=sha256:0853b75a25c8332b32a33fb2776dc139b1012e451decab2fb988fc78299c988e

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:d423627c83dbbf59cb5fd42b30a19a21e8d5879792036219f3866b22d4b45c13

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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no resolver link, observed 2026-08-08T13:35:49.229405Z

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source=arxiv_source observed=2026-08-08T13:35:49.229405Z digest=sha256:2c65c137c5c926588fcfa9a473f39147f8d274a0939e3683887efa83fb271f98

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:f948cddfab1d744092f5608236ba0aca616ef629b70276eef22a26215eb08ec4

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=sha256:50db9c713b0405b6211e6d208d4b1b310f87f35544ebc1eb7ebae823600ae8ad

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:f4eebe860f573b905ed4916144014d03d9f69405c85c1428799b76566cf3939b

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=sha256:8278763c3318d471d1d56a0cad2d403f4a0ba9524dcc2fa472cc44c6e6d14dd6

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=sha256:344c0f85d080f302281d479e182da0683fb5b8cb8837fb921ae5a1d9cdf6bc34

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:eb272082ef3b73b9f73c175b4095e60c44fea43dbbde57e81c27ef19450883f9

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=sha256:951b004aaeaa202a03d5b2da4228aa8eda585b73214ffd9cb5b508952d30c92f

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=sha256:5c08bfe495c6a5212b5ea538172a969d67f672771637634e7de458296fda173d

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=sha256:03e43bb32afe54d3454ae3f4cb021ba61d004e438bb8cd26f764b3b8022a9e63

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:da28dc5aadd13eb3876db043452d37bf258d951968436502be4f625403264c59

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:aa95319e94edec349b37597b70c561e5fd410100f6bc46f70ebf2a41587c341e

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=sha256:530446bf45189144167c8a4855094d01a7b0a03e5d07bff8c75855380261fad0

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=sha256:3c93f25cd8a3a1fdf6ea49b96b8e26b93151737d983d4d6c0b8a2feee6e9e5f1

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=sha256:8193f757e3b3917eaec1d494f779f8b404e5b8c90141005d0da10dcc6ee1245c

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:adc7af34542f44909fa0928d5cec4b17e4986e069349d0db6b1e7f7ee9a04f24

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:ea9def806b05d3b5394ba2dda145f9f9876b9c7268194a5593d3d0b9ff5f682f

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:b97fea7d31c44d4e7974706eb243965cae9146e4b9c36c485e388cdb95902817

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=sha256:2e5fa26212d681bd93d68250b32f526da1a7f50dd5a30704b629a5409d2057c5

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=sha256:34afb4ee1098ae7f02c8fd6db441d2715909a7828567de7d88d800d2e15ada45

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:c7b9fad3ed94569fd3c71550d6cce0b3a07c80bde911c5043799734f68e9ad49

Pith citing papers

No inbound Pith citation observations are available.