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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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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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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Observation 9b9cd372-6b4d-45df-9e81-3e09d535f372 · outbound

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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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This paper cites and Neville, Scott and Scheidegger, Carlos and Venkatasubramanian, Suresh , booktitle =.

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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Observation 12ee6c23-8c95-4547-9b41-d9acc0a4348e · outbound

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

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

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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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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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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

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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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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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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=sha256:2b6bcfa60890f26685ae6c12a1173c27ef688d18371bb6a5046f337a16733352

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=sha256:22f77567d2fed41a08cdb4a4165c32c6b65ff30333cc07fa96778f172bda1c45

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:d05b9f48a7accf420277fa725c7522e7e89bd3dcec6c9144572004a4f63ed592

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=sha256:531805edfa7a6be782130aeaa115ce8f8af99cafe5c00b33ef258bfa482b5ab3

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:d632113a9aa76a5ebe34e0171135db5343c2fbff8fd0997eb6f5f9428b9723ce

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=sha256:35ca1d71c0c45dbcdf15cb033f09a578d74e224bfa5ced57bec69a27d3efff64

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=sha256:0a11101499e439be3e7352264e855b2eae780ae77ed69f970ff3e3b721d95972

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:bcd8dc99dd07ae5c4a6da4697fd4f10187ad451a16addd8962fc99b0d8b8b0d0

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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source=arxiv_source observed=2026-08-08T13:35:49.095998Z digest=sha256:40ca8212d2214c66903ededded94b154dd4e6c6f65f31a9aa4db59ea6a0d7e98

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=sha256:971ca2e399638cdc26f834cd57ae29d93300521aec0251999ea4e020c4db5ed3

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=sha256:9f73bfe4a6419b93703087740527d842a1fdd9ea7a97041079bb87d9116bf9f8

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:e349c2f7a5ea1b261a914a5fe864da6ef5849cc74b089babde8231cc84aec7b8

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:b8957535eea4aa7c4324c44ea3c5aa7bc2a8bdb79bda4886fb021c478c9735ba

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=sha256:34cc97c886322979561a841a7f818279a3655334d937238de6c5e0c88dea57e7

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:e6a5db5ec4569ba57c71fbf85582fa905fca855ae95cfc657ffda65ee3b715b7

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=sha256:4da028a9294574fb77ffc33bba993f229d5684da592e9ad86115405a4bb8bd47

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=sha256:6309c9908416c8ef046f95779d9c6047e25bfb9e4d5d9500397685b367bcb601

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=sha256:8496f9e5b28279f2d30b6d40f8cdc47a9ba5aca1fd87250de51571037f666b3b

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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source=arxiv_source observed=2026-08-08T13:35:49.139326Z digest=sha256:f4b5609b2dbe00fa84e3806d3df25c31a3c63ebc5525d9ee670a273bd44244b4

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:d10eddf02df1001b17e14adc02e851aaf70f5b58ca75237ba3277ed2b6d2b36a

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=sha256:19e8abc05a1d81d9621c9533d301b9ef7a2d95ccd5f81cf5a674079b10599caf

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=sha256:150472ff967b17f1791a3522baa8a3cdc4e2a3068687bd449624a07a195bbe80

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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source=arxiv_source observed=2026-08-08T13:35:49.157659Z digest=sha256:8474b584d9cfb5e072f08ebe8b3cdf0f6b175bef7fb75c78becce5bcedb8222b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T13:35:49.162066Z digest=sha256:1bd7e262bd3c4d3309908491bb870c64034760291b47eba18c4fc89bbae0627d

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:c73e1320c31b89515c0c73d4e573009127cc3262a6264d8dea3968caa069669f

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:b4cd30618c2a9fb39510fd09c8d0d1675594664a899f3325b7c339f7951be9c3

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=sha256:4c657f81c4330750db6a124764a757987d9313f5a66f52b20fc4690a4fa79ef6

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:db39195b0d4953cfd3de6b3b056082090abac2607406f2225fee4e8e6361b2c3

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=sha256:7b82a511d0aedc1ae20939a10b3dc1ec7259be92a88712fdbd593b76065f8732

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=sha256:7beebcf00dfdcac058e9df8dd54334cefeba14213d2f2efa9bb872b0d110903d

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=sha256:74a32d9207b68f5b67f2d88450d06afcdb4b6b24f289987c8ed0025e007423c2

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:ea18c90d223404a67cdc4b432b6b0e4d2ef88993aa0f72ac74eaeda533063cd5

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=sha256:89d5a745c0ecab35ee4a6f0df4d6506296efd87ff8b7edc7263475946ba65b6b

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=sha256:134c67c416b6910a07195bf296da27ee880a2e60b7fb680d82f3c127e41386cc

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:af5a725d83b5075c136561cdf23eabb711950b5a4bbdfe9adb651f056c59e27f

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:cce4fa23bef1448bff77a3e5937ab28e135f822af01e0fed42ef377635aded5c

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=sha256:78577546f27207e547775fe790730fa2320e6679c2476bb4f12f2aae32e68532

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=sha256:4ae13e563f5c30345c8ca07cd7569dff623f9ea16621ef837fe3554ecc22250b

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=sha256:4cf775d7daddd0a9d36dd43cf6e1eeefdfcef4288c4c88b4d59ce11429e4e154

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=sha256:1e78eb70f5820b9a8cda6dd553053433b889a364ebff16793ad158127531cdd6

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=sha256:342494eb00eb47e9771fa9d2163a8c7d19edff4b6c3025cc267718bfe1907b45

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=sha256:4dbb519707f07edcc5dbd44d5727810bc5bc140829c79099ff3e53b2fcc71c87

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=sha256:38979a02b9a6d9b320b106962de690efb45cc7f481876d10325dd884dceda050

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=sha256:828c9a6551e5186f948aea65938f3975e0b47f4726457276a171f4e545c824aa

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:a84e7c042bb9865e128f1273c5cf1fc0cd279525a185c0575e8bba7cb5dcb4ac

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=sha256:6b53ebc5fc5e68e21601dfbc44ddd60de519a00abed7998e0df35ccd035bdf05

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:b3044974c85f7cc181dfed846ec2a384e560c470d6152f182dfd9f2ab6d18846

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:a7c0d3e5c4229833705b7a0a87ee050ddab9cafc30da74e1625de60da41b3366

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=sha256:82c7159bf7705f1e791cb7422d4a8bb87bd154c235e90acfba2e37ceb91b041e

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:fdd9dc91a30523b314baf5604693431fe61eed534aaf1df02c52a219f89a6803

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=sha256:632cac1d41d9a511a5e01c28fa5a8192c7f4027629d0ddd471d6962309319693

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=sha256:7d7d4ed97a2d1fd548fc587cb6581021522a5339e4e6122817e2ec40373f45dc

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:d1e5ed953993b14e13b369487e1f80f12e996d955cc47eb156e58239e6c390aa

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:e6d3ed7472c888c0a63eb34529a7d1af46efd9a7e988ac1994cc46502b238117

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:f6064c5a636706aff66c67c151ba324dbfc44cbe51be12380351e18f44184a5e

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=sha256:727884892a462d6cab4cc65e88e6469fb7dd9b3b313f4f23deb0642fe72c38b4

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:ab305896fbe432d4171dbad8a45d0a865bbbe198578e8614cb78a380c0cbcc9b

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=sha256:2ccff1da7139442985d77a19df3c1e726d5186d61034cd2d1b575cd75a88a6a9

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=sha256:2c9aaad35514214b144547fef81c9c2cc1ad7be156a83dd3d565188b122fa095

Pith citing papers

No inbound Pith citation observations are available.