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Paper Citation Record · LEDGER

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

As of 19 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2607.16130.

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

pith.paper-citation-record.v1
2607.16130 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:18:28.341377Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

90 of 90 outbound references displayed

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External citation measurements

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Outbound references

Observation 9f4dad8a-dc6c-454f-9133-c0fb8fe9a8a9 · outbound

This paper cites an unresolved cited work.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 1

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 2

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 3

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Conformity assessment under the

Reference 4

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Conformity assessments and post-market monitoring:

Reference 5

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This paper cites Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency , pages=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 6

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2019 , organization=

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 8

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This paper cites Trustworthy artificial intelligence and the.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Trustworthy artificial intelligence and the

Reference 9

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT* '19) , year =

Reference 10

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Regulating the undefined: Addressing systemic risks in the Digital Services Act (with an appendix on the

Reference 11

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Nature , volume=

Reference 12

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Communications of the ACM , volume=

Reference 13

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2022 , url =

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Mitigating the adverse effects of

Reference 17

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2024 , publisher=

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2001 , address =

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance , title =

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance , title =

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2020 , publisher=

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Formalizing trust in artificial intelligence:

Reference 28

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2020 , address =

Reference 29

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2020 , address =

Reference 30

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proposed

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of

Reference 35

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance A blueprint for auditing generative

Reference 36

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Auditing large language models:

Reference 37

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Reference 38

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Twenty-four years of empirical research on trust in

Reference 39

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance An overview of key trustworthiness attributes and

Reference 40

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Trustworthy artificial intelligence:

Reference 41

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Observation 46e148a3-8591-4b44-98c9-38a5cfbda846 · outbound

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

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Observation aca93363-3f2a-41b2-863f-6364a9491291 · outbound

This paper cites Z-Inspection.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Z-Inspection

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Observation 9b3ab97d-24b0-418c-ace6-38f670956fd9 · outbound

This paper cites Justifying our credences in the trustworthiness of.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Justifying our credences in the trustworthiness of

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source=arxiv_source observed=2026-08-01T21:18:24.460166Z digest=sha256:e35dd2a0786ee29c4e4fed21e927c02623680399e6df87aed05058d2ca341ccd

Observation 946caa41-9d10-423e-8f63-1d6150660b72 · outbound

This paper cites Trustworthy.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Trustworthy

Reference 45

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source=arxiv_source observed=2026-08-01T21:18:24.545246Z digest=sha256:f9f4f7bd35a1dd9926f90e7f52d97b8e9f90ecc1c3b56d8c4cfb2cc07acbf76e

Observation 7ef378c9-e953-4bed-a9d6-5ba5bde929cc · outbound

This paper cites 2019 , howpublished =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2019 , howpublished =

Reference 46

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source=arxiv_source observed=2026-08-01T21:18:24.598530Z digest=sha256:ab9d00bf69571a6b93395a7f616e24cabe4e3637670c84ecab41e57dfd1554bb

Observation d2ef907e-6e7e-4c88-ad01-3858ae6f5e72 · outbound

This paper cites and Davis, James H.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance and Davis, James H

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source=arxiv_source observed=2026-08-01T21:18:24.678928Z digest=sha256:10f6dbbc2598e94bad9392f7daeeabcf0b5a679890cb16cd49be74834a7ffd20

Observation 1bf3edd6-7b96-48c3-8ca6-f5edc1b425bc · outbound

This paper cites Ethics-based auditing to develop trustworthy.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Ethics-based auditing to develop trustworthy

Reference 48

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source=arxiv_source observed=2026-08-01T21:18:24.749024Z digest=sha256:1d03c5614bb20fbd431f58d8fc14c874e759c715ad875e9368a99c7932a70c7a

Observation e2bcd1d8-d3a0-475b-b40f-1db45449b79d · outbound

This paper cites an unresolved cited work.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-01T21:18:24.826193Z digest=sha256:ba73bd8978442f34fd9cfee598b86a5914456c106a93f7543989600c2e129a11

Observation f8c56105-d5bc-466d-bf13-1ca1d075c86d · outbound

This paper cites Synthese , volume=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Synthese , volume=

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source=arxiv_source observed=2026-08-01T21:18:24.907402Z digest=sha256:e2cc457dc34c692b9b432c964f09d6a89ad81584dd713c7d72496d44d52ed26f

Observation b50c995f-d5c2-4a63-879c-2959825a2150 · outbound

This paper cites A Trustworthiness-based metaphysics of.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance A Trustworthiness-based metaphysics of

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source=arxiv_source observed=2026-08-01T21:18:24.956461Z digest=sha256:6ce59211b549af7712b3165a3d9b5288c7c8d53e00b7658e9f801471ce7ef707

Observation 8b17e593-7315-488a-96e8-1bab205a9d9e · outbound

This paper cites Philosophical Explorations , volume=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Philosophical Explorations , volume=

Reference 52

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Observation c3a00298-534b-4829-82b6-4cf066ce330d · outbound

This paper cites , year =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance , year =

Reference 53

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source=arxiv_source observed=2026-08-01T21:18:25.097953Z digest=sha256:8fb8e1b39d505561bcacb2f1fe583169344e69ef565e6cd5a8f937072501aca6

Observation 60c09e1e-e008-4a13-bdba-ef4254589a8a · outbound

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

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , volume=

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source=arxiv_source observed=2026-08-01T21:18:25.145982Z digest=sha256:7f0d01ae42f54c193d0a3e40c1ae5a413b0ef1a64c4047a68bdd882aa71c7c7c

Observation 8c2656ce-14bc-4be1-aa6e-665ad587695e · outbound

This paper cites Ascribing functions to technical artefacts:.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Ascribing functions to technical artefacts:

Reference 55

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source=arxiv_source observed=2026-08-01T21:18:25.256507Z digest=sha256:2cfacd8c291b5ce37204165707d086926527f94254179c8e4e9337d23b161237

Observation 933460ae-2d11-463c-bbca-ac0b3ddcaf33 · outbound

This paper cites Towards a science of.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Towards a science of

Reference 56

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source=arxiv_source observed=2026-08-01T21:18:25.326038Z digest=sha256:bdfc4aec2514d61ca70d857383bfcec917d615d69391c2387c4db29a0b9ff7cf

Observation 0abf1adb-ec6b-407d-92e6-c755a75554b8 · outbound

This paper cites 2020 , note =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2020 , note =

Reference 57

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source=arxiv_source observed=2026-08-01T21:18:25.428567Z digest=sha256:325df011949d4d7f9cb8299054bf2c4f477cdb7399c749982ff9ebdfa1a340b4

Observation 14dab618-025f-4c5a-9065-b7fb9fbbd810 · outbound

This paper cites Frontiers in Artificial Intelligence , year =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Frontiers in Artificial Intelligence , year =

Reference 58

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source=arxiv_source observed=2026-08-01T21:18:25.494137Z digest=sha256:4c5b98d2782976fcca23858b872b490d0cf1514632349fb570a70398e7fd2d1e

Observation 46f8be48-a010-42b4-b6b8-605dccdec5c5 · outbound

This paper cites 2023 , number =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2023 , number =

Reference 59

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source=arxiv_source observed=2026-08-01T21:18:25.555802Z digest=sha256:b38140293bec0d2b5e47ddac5445255df93b6e20ec4ac5c860e70a4768eb46a0

Observation 8c75fe75-9e7b-4be1-add3-e5eecffc9b42 · outbound

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

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proceedings of the Conference on Fairness, Accountability, and Transparency , year =

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source=arxiv_source observed=2026-08-01T21:18:25.615733Z digest=sha256:8a7ee0b7b780f3706db97e80b1d487ac44d6eda4e99a53c18fc604487ebe5d22

Observation 13b88766-9e69-4f50-949a-4aee4115ebd9 · outbound

This paper cites Datasheets for Datasets , journal =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Datasheets for Datasets , journal =

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source=arxiv_source observed=2026-08-01T21:18:25.734428Z digest=sha256:76e508b25319c205d70073e208e684d70523e6617b45f578933be04cbede1264

Observation 358b09f5-0de0-456e-b996-be85e4c085e1 · outbound

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-01T21:18:25.891227Z digest=sha256:4858fe7c2e518f15bc537b711cafae4d9825434ebda894733f459c9c2e19b82f

Observation f6d931ef-a0c8-495b-9c2b-41cb7788cea8 · outbound

This paper cites Fairlearn: A Toolkit for Assessing and Improving Fairness in.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Fairlearn: A Toolkit for Assessing and Improving Fairness in

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source=arxiv_source observed=2026-08-01T21:18:26.011698Z digest=sha256:11c366f069b6408430681430fd28a98a0c9591190ef68d349ada60b3ad76544d

Observation 24eed74e-7d13-4dba-9c06-03410dd8e40a · outbound

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-08-01T21:18:26.191195Z digest=sha256:7e8ec423441c039fa7091025d2d9518c35f559c086ceb3ed4309ec6ce3adb672

Observation aa2f4ef3-0e4d-44bf-90f2-8d8a5d5491b6 · outbound

This paper cites How to Assess Trustworthy AI in Practice.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance How to Assess Trustworthy AI in Practice

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source=arxiv_source observed=2026-08-01T21:18:26.350190Z digest=sha256:00546c3eb42f31b04e9d6cd7e5f5ba719d1e1f06e47dbc4d4b133b01b6bb8d1e

Observation faa104ee-e802-4c40-adce-d0b345994c0f · outbound

This paper cites and others , title =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance and others , title =

Reference 66

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source=arxiv_source observed=2026-08-01T21:18:26.452693Z digest=sha256:a3c07a6778fffa32e7059556733a082fa713ca6e7a4e33bfe2ba7fe71ce33f2d

Observation a80266ec-104b-417f-95ef-b6027ad05e4a · outbound

This paper cites 2021 , number =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2021 , number =

Reference 67

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source=arxiv_source observed=2026-08-01T21:18:26.624762Z digest=sha256:809b7c384890ad06e03f8e2343022c0b4420f929d52e96424e9fc2dc8cd1d862

Observation 7452ad4d-6df8-4add-9be1-e04dba3da66b · outbound

This paper cites Proceedings of the Workshop on AI Governance , year =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Proceedings of the Workshop on AI Governance , year =

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source=arxiv_source observed=2026-08-01T21:18:26.771364Z digest=sha256:de8ec89aac6ba097cd70acaea24055eb4b2b07fc892cda2db4ff9805f49fb187

Observation d719f97c-749a-48b1-8659-c3f5a5b8113e · outbound

This paper cites and others , title =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance and others , title =

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source=arxiv_source observed=2026-08-01T21:18:26.886459Z digest=sha256:3d7dd1a36d97f16521390db9e649f85133760d1cb5ad9c40c15653d182557870

Observation e965362c-196f-455a-90fa-d49366434e4f · outbound

This paper cites Towards a Science of AI Agent Reliability.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Towards a Science of AI Agent Reliability

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source=arxiv_source observed=2026-08-01T21:18:26.994142Z digest=sha256:7743f75ab3bc1c6a52ce78b5a4822d5b0ae543035635f59cd011d7ef46ece4a4

Observation 6a065e69-b743-4d12-8b34-ab2ce8ae9c3a · outbound

This paper cites arXiv preprint arXiv:2603.16586 , year =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance arXiv preprint arXiv:2603.16586 , year =

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source=arxiv_source observed=2026-08-01T21:18:27.045524Z digest=sha256:0732a6c0658cea0a01c5ef87a9cf716d5d906dc31605956473c4deb097371c3e

Observation a88d30d4-9286-432f-b47d-7a44878ab25f · outbound

This paper cites The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

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source=arxiv_source observed=2026-08-01T21:18:27.092139Z digest=sha256:16f60ead49ab622f11d6acae748f47c482533a67936d75e36a1ab571a020fd07

Observation a3f63ff9-940b-4f23-82a3-466d42a62b16 · outbound

This paper cites Machine learning operations (.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Machine learning operations (

Reference 73

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source=arxiv_source observed=2026-08-01T21:18:27.164674Z digest=sha256:4f18a7474676a8ff8e902ccd91dd224f0175d05c8e43812519f29710eea6fc36

Observation 11951f45-96ed-47d3-93d5-e1d04e914942 · outbound

This paper cites Journal of Systems and Software , volume=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Journal of Systems and Software , volume=

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source=arxiv_source observed=2026-08-01T21:18:27.234216Z digest=sha256:4bf5269e06647a18291ad1f99bd881bfb15e92a4d1efb3aceb601a88ddb396d9

Observation 06675b27-ff06-4cac-b96f-74b35b33ee93 · outbound

This paper cites A multivocal review of.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance A multivocal review of

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source=arxiv_source observed=2026-08-01T21:18:27.282912Z digest=sha256:e8a7733b410aa3713c1eeddbeb7e021cf0c6d936a96a4197fa85d2225825d44f

Observation 0ecea57f-cc50-445f-b33a-f891ec3a76d9 · outbound

This paper cites Towards a better understanding of evaluating trustworthiness in.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Towards a better understanding of evaluating trustworthiness in

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source=arxiv_source observed=2026-08-01T21:18:27.346188Z digest=sha256:46e35509c94bdf3c7c03f50c741d1f5be0e1d8fda477763095e79643f1b8e6fd

Observation c82f44df-95e0-4f6b-aff4-2d1dbd486080 · outbound

This paper cites Creating Characteristically Auditable Agentic.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Creating Characteristically Auditable Agentic

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source=arxiv_source observed=2026-08-01T21:18:27.402341Z digest=sha256:58826dd0d991ec299b9400e08e81e6dce3e469a87247f25dcdf4b703549065c4

Observation 6dd75446-c55d-4bb6-b259-0b7c5ef204ad · outbound

This paper cites Understanding.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Understanding

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source=arxiv_source observed=2026-08-01T21:18:27.459632Z digest=sha256:2c9234e19dc49ec3ae0dc4ff00a102d1e69946b0af3e204af611adeb7f451bef

Observation c43b1f1f-1568-411a-b93b-ddae5a8def07 · outbound

This paper cites Nature Communications , volume=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Nature Communications , volume=

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source=arxiv_source observed=2026-08-01T21:18:27.504039Z digest=sha256:8e5fb868e5b7490236048c279c60119305a401a9e741a76851c286185866a347

Observation ce1ebf5d-61d6-4718-9962-862399bb1ea0 · outbound

This paper cites 2019 , month=jun # " 11", publisher=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2019 , month=jun # " 11", publisher=

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source=arxiv_source observed=2026-08-01T21:18:27.567893Z digest=sha256:3749f84b985d8253a26d1ec74acc7634da596f630cc4688ede8b9ca12ab76a87

Observation 5a58065d-07d4-4b97-94d0-3a43f05e0b2d · outbound

This paper cites Learning under concept drift:.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Learning under concept drift:

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source=arxiv_source observed=2026-08-01T21:18:27.629886Z digest=sha256:9ae1e9cf156ced9536c0a54f3553d23b55b538c42cbf7daa4930c2ff49640000

Observation b4f90bba-3878-4c3c-a19f-0aff50efbedf · outbound

This paper cites Designing for responsible trust in.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Designing for responsible trust in

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This paper cites A systematic review on fostering appropriate trust in.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance A systematic review on fostering appropriate trust in

Reference 83

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Observation 525d94dd-17f2-4977-b628-c5ccc962ae1b · outbound

This paper cites 2022 , howpublished =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2022 , howpublished =

Reference 84

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This paper cites an unresolved cited work.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Unresolved cited work

Reference 85

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This paper cites 2020 , url =.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2020 , url =

Reference 86

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Risk analysis , volume=

Reference 87

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This paper cites Available at SSRN 4064091 , year=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Available at SSRN 4064091 , year=

Reference 88

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Observation 6f83accb-3c9b-4d21-ae2c-04c6f996f8cd · outbound

This paper cites High-risk.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance High-risk

Reference 89

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This paper cites 2017 , publisher=.

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance 2017 , publisher=

Reference 90

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Pith citing papers

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