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Paper Citation Record · LEDGER

Responsible AI: The Good, The Bad, The AI

As of 4 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2601.21095.

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

pith.paper-citation-record.v1
2601.21095 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:09:00.196168Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

49 of 49 outbound references displayed

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  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6431e16-2a39-42dd-be8e-8e0b4fd21d1d · outbound

This paper cites The economic potential of generative AI: The next productivity frontier,.

Responsible AI: The Good, The Bad, The AI The economic potential of generative AI: The next productivity frontier,

Reference 1

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Observation ca5cd45c-c2a5-4fe7-a489-f5be92f42cb8 · outbound

This paper cites Winning with AI,.

Responsible AI: The Good, The Bad, The AI Winning with AI,

Reference 2

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source=pdf_text observed=2026-08-03T07:08:53.548337Z digest=sha256:7bf16f3d6e7366c35fc5737eaaa0d5373b2c00c97ae57d0e1099d8db4f5e2011

Observation 71477e0a-bb74-4fc5-921c-d532e22e0a4f · outbound

This paper cites Artificial intelligence and business value: A literature review,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence and business value: A literature review,

Reference 3

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Observation 46005af9-fbe8-4010-a38a-1fe1f7744399 · outbound

This paper cites Amazon scraps secret AI recruiting tool that showed bias against women,.

Responsible AI: The Good, The Bad, The AI Amazon scraps secret AI recruiting tool that showed bias against women,

Reference 4

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Observation cda51168-027c-426b-8d53-229540f23753 · outbound

This paper cites Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks,.

Responsible AI: The Good, The Bad, The AI Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks,

Reference 5

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Observation b87a077f-64b7-4fe4-8900-37e3627c2b57 · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classifica- tion,.

Responsible AI: The Good, The Bad, The AI Gender shades: Intersectional accuracy disparities in commercial gender classifica- tion,

Reference 6

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Observation a9fbe7e2-7279-4d32-a5a8-62235b29c830 · outbound

This paper cites Responsible AI: Gender bias assessment in emotion recognition.

Responsible AI: The Good, The Bad, The AI Responsible AI: Gender bias assessment in emotion recognition

Reference 7

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Observation 4068be40-bf25-4db4-a9ee-9778be4826ba · outbound

This paper cites Ethical ai in facial expression analysis: racial bias,.

Responsible AI: The Good, The Bad, The AI Ethical ai in facial expression analysis: racial bias,

Reference 8

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Observation d676ca40-1437-4f39-aa62-88b4785ba4ea · outbound

This paper cites Thinking responsibly about responsible AI and ‘the dark side’ of AI,.

Responsible AI: The Good, The Bad, The AI Thinking responsibly about responsible AI and ‘the dark side’ of AI,

Reference 9

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Observation 1ed36de0-2026-43a9-a29e-de4079d475b0 · outbound

This paper cites Quantifying gender bias in large language models using information-theoretic and statistical analysis,.

Responsible AI: The Good, The Bad, The AI Quantifying gender bias in large language models using information-theoretic and statistical analysis,

Reference 10

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Observation 535d28cb-2363-450a-9016-a1511f5a56ca · outbound

This paper cites A mathematical framework for ai singularity: Conditions, bounds, and control of recursive improvement,.

Responsible AI: The Good, The Bad, The AI A mathematical framework for ai singularity: Conditions, bounds, and control of recursive improvement,

Reference 11

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Observation cf0a210c-4cef-4e16-ac5b-0e18edfc692a · outbound

This paper cites AI4People—an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations,.

Responsible AI: The Good, The Bad, The AI AI4People—an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations,

Reference 12

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Observation dd936d36-8850-404e-9894-9e72e15d90a9 · outbound

This paper cites Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (AI act),.

Responsible AI: The Good, The Bad, The AI Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (AI act),

Reference 13

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Observation 35655e60-04ce-4428-aa1d-5eeaad46c410 · outbound

This paper cites Responsible artificial intelligence governance: A review and research framework,.

Responsible AI: The Good, The Bad, The AI Responsible artificial intelligence governance: A review and research framework,

Reference 14

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Observation e156a515-3dcd-4450-943b-0c657072b3ae · outbound

This paper cites A survey on bias and fairness in machine learning,.

Responsible AI: The Good, The Bad, The AI A survey on bias and fairness in machine learning,

Reference 15

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Observation 141b9943-c6a8-4c40-b754-505bab1d49a3 · outbound

This paper cites Principles alone cannot guarantee ethical AI,.

Responsible AI: The Good, The Bad, The AI Principles alone cannot guarantee ethical AI,

Reference 16

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Observation 86a48e1f-3422-4cba-90fa-194c634cf902 · outbound

This paper cites What’s next for AI ethics, policy, and governance? a global overview,.

Responsible AI: The Good, The Bad, The AI What’s next for AI ethics, policy, and governance? a global overview,

Reference 17

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Observation 2179a483-176c-4edc-8607-8fa333b0f329 · outbound

This paper cites Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance,

Reference 18

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Observation c396c550-3751-4093-a107-75d87e002f5e · outbound

This paper cites A resource-based perspective on information technology capability and firm performance: An empirical investigation,.

Responsible AI: The Good, The Bad, The AI A resource-based perspective on information technology capability and firm performance: An empirical investigation,

Reference 19

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Observation 6ef33ba1-6845-441f-8022-848656375d93 · outbound

This paper cites Artificial intelligence for the real world,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence for the real world,

Reference 20

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Observation b7723591-c999-4048-bab4-8f34995ed5f8 · outbound

This paper cites Agrawal, J.

Responsible AI: The Good, The Bad, The AI Agrawal, J

Reference 21

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Observation fc04b391-7e74-423d-aa52-dfc48e907d35 · outbound

This paper cites Artificial intelligence in service,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence in service,

Reference 22

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Observation e246de6d-6b47-4c27-9e67-5ddb1095c790 · outbound

This paper cites How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops,.

Responsible AI: The Good, The Bad, The AI How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops,

Reference 23

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Observation 4d2487af-7ecc-404e-88fb-7f52e6b52230 · outbound

This paper cites Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms,.

Responsible AI: The Good, The Bad, The AI Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms,

Reference 24

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Observation 22c81516-50aa-47da-97ec-cb14daa1b938 · outbound

This paper cites Innovation and design in the age of artificial intelligence,.

Responsible AI: The Good, The Bad, The AI Innovation and design in the age of artificial intelligence,

Reference 25

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Observation 3f51cb86-92ce-47f1-bf6a-edbfed09420e · outbound

This paper cites Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential,

Reference 26

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Observation 5ce8b806-5da8-4545-b532-76bb1734608e · outbound

This paper cites High-performance medicine: The convergence of human and artificial intelligence,.

Responsible AI: The Good, The Bad, The AI High-performance medicine: The convergence of human and artificial intelligence,

Reference 27

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Observation 00478f1a-8d2f-4c64-bcd7-4d8fafe1c108 · outbound

This paper cites AI in finance: Challenges, techniques, and opportunities,.

Responsible AI: The Good, The Bad, The AI AI in finance: Challenges, techniques, and opportunities,

Reference 28

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Observation e9bceefd-69be-4849-976e-7344ffbb79ee · outbound

This paper cites Dissecting racial bias in an algorithm used to manage the health of populations,.

Responsible AI: The Good, The Bad, The AI Dissecting racial bias in an algorithm used to manage the health of populations,

Reference 29

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Observation 59ea6a72-8d47-4bd9-89f1-4c0865288231 · outbound

This paper cites How the machine ‘thinks’: Understanding opacity in machine learning algorithms,.

Responsible AI: The Good, The Bad, The AI How the machine ‘thinks’: Understanding opacity in machine learning algorithms,

Reference 30

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source=pdf_text observed=2026-08-03T07:08:57.649891Z digest=sha256:44e4aa0d5f52f272f536fbc2f98fdd4df25e05ffa8b4c0c86edcf164249b1bcc

Observation dab04fad-0246-444e-8912-62aa246cb5be · outbound

This paper cites Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,.

Responsible AI: The Good, The Bad, The AI Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,

Reference 31

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Observation 3e12c6b9-fb04-44d2-954f-6faa5d063287 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

Responsible AI: The Good, The Bad, The AI Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

Reference 32

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Observation 4932ab7a-623b-4bcc-a06c-31de025e5a3b · outbound

This paper cites Dignum,Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way.

Responsible AI: The Good, The Bad, The AI Dignum,Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way

Reference 33

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Observation 8c0e3227-92d6-49c3-8c8a-43d95759f548 · outbound

This paper cites Accountability in a computerized society,.

Responsible AI: The Good, The Bad, The AI Accountability in a computerized society,

Reference 34

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Observation cfcaea78-ba81-42ee-a5ee-d3a35902feb7 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Responsible AI: The Good, The Bad, The AI Explaining and harnessing adversarial examples,

Reference 35

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source=pdf_text observed=2026-08-03T07:08:58.284815Z digest=sha256:24e2d28a73a567b94e437c27c80068d32138e57db7586edaea3bf386a553dc07

Observation b3c63b37-1e77-4869-be90-c9b06bd5b6dc · outbound

This paper cites Dataset shift in machine learning,.

Responsible AI: The Good, The Bad, The AI Dataset shift in machine learning,

Reference 36

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source=pdf_text observed=2026-08-03T07:08:58.399282Z digest=sha256:e01c67c3a6af3c395cad343205cabb9c5e9bddfb6459c5f92a85727557bffd81

Observation c0f30cfc-5c7b-4bdf-8bb2-55af6a4ba605 · outbound

This paper cites Artificial intelligence, values, and alignment,.

Responsible AI: The Good, The Bad, The AI Artificial intelligence, values, and alignment,

Reference 37

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Observation 59ac9ccf-5805-4359-9eab-95d3c31356eb · outbound

This paper cites an unresolved cited work.

Responsible AI: The Good, The Bad, The AI Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-03T07:08:58.647545Z digest=sha256:16b31e783d3b3bffc2fc0fd5d0f6ee0af9f2eaa09ef1aeae49cd5340a2d64864

Observation e677a438-b185-46ab-b4c4-39f299549715 · outbound

This paper cites Crawford,Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence.

Responsible AI: The Good, The Bad, The AI Crawford,Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

Reference 39

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source=pdf_text observed=2026-08-03T07:08:58.769880Z digest=sha256:96ae3d7cde7b82e16b0eba0f9b26d62fcc4d07cf62985513c651c9d9e92c311a

Observation f0f4fd57-ce93-429d-ab7f-d0c7e6d8d60c · outbound

This paper cites Green AI,.

Responsible AI: The Good, The Bad, The AI Green AI,

Reference 40

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source=pdf_text observed=2026-08-03T07:08:58.898376Z digest=sha256:acc8baa93cae2501dea5abfbe5423da916acf8148e43622e1c13e7662477c465

Observation 965d3561-1bff-4b87-ac69-e84463f462d6 · outbound

This paper cites The global landscape of AI ethics guidelines,.

Responsible AI: The Good, The Bad, The AI The global landscape of AI ethics guidelines,

Reference 41

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no resolver link, observed 2026-08-03T07:08:59.017642Z

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source=pdf_text observed=2026-08-03T07:08:59.017642Z digest=sha256:e002260406a371adcadc31f0c3859f9a7479fbce6bd6b71d2df60fbdb81f5677

Observation 98a44c31-091c-44a2-824a-908baee19550 · outbound

This paper cites Toward a theory of paradox: A dynamic equilibrium model of organizing,.

Responsible AI: The Good, The Bad, The AI Toward a theory of paradox: A dynamic equilibrium model of organizing,

Reference 42

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no resolver link, observed 2026-08-03T07:08:59.162401Z

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source=pdf_text observed=2026-08-03T07:08:59.162401Z digest=sha256:e6ae75438d7c4329ab0fa3b3e64f78a83ace696a616d3d5431fe02cfa2b07a66

Observation dd8410d8-164e-4b72-9c3d-4c95246e7348 · outbound

This paper cites Paradox research in management science: Looking back to move forward,.

Responsible AI: The Good, The Bad, The AI Paradox research in management science: Looking back to move forward,

Reference 43

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no resolver link, observed 2026-08-03T07:08:59.364373Z

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source=pdf_text observed=2026-08-03T07:08:59.364373Z digest=sha256:f56987699e2bdf9d849d11a2c6c4a616261af32f1abad0334400c11f261d26b5

Observation e5b66b36-be0e-4ebd-9449-5ca68e0f2e67 · outbound

This paper cites Using paradox to build management and organization theories,.

Responsible AI: The Good, The Bad, The AI Using paradox to build management and organization theories,

Reference 44

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no resolver link, observed 2026-08-03T07:08:59.504612Z

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source=pdf_text observed=2026-08-03T07:08:59.504612Z digest=sha256:ca7f24728f325091a3c391a2282980cce440824400308ab554c1cf4c1cbbd7c2

Observation 1db43db3-ee69-483e-8cae-12baf6321d99 · outbound

This paper cites Exploring paradox: Toward a more comprehensive guide,.

Responsible AI: The Good, The Bad, The AI Exploring paradox: Toward a more comprehensive guide,

Reference 45

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no resolver link, observed 2026-08-03T07:08:59.685485Z

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source=pdf_text observed=2026-08-03T07:08:59.685485Z digest=sha256:5c8235d92a7957462fc7499526b7b86917df0b6ecee928ac5ffda11678ae1a99

Observation f5f8e4c0-f748-4ad9-be4d-de2b3ac2665b · outbound

This paper cites Guidelines for performing systematic literature reviews in software engineering,.

Responsible AI: The Good, The Bad, The AI Guidelines for performing systematic literature reviews in software engineering,

Reference 46

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source=pdf_text observed=2026-08-03T07:08:59.892295Z digest=sha256:62c0c73c6b906df717265d5fa5da10212cfd51d2c5107bb8337f23301441b277

Observation d62ce2a7-3e4f-48af-a7ce-118332fbf8c5 · outbound

This paper cites The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,.

Responsible AI: The Good, The Bad, The AI The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,

Reference 47

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no resolver link, observed 2026-08-03T07:09:00.012247Z

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source=pdf_text observed=2026-08-03T07:09:00.012247Z digest=sha256:46e8ed9bfef779cd6116377cf0d2415d10b323fd0e394a2044d297bde369594c

Observation d3b2d299-2923-4043-b3c8-2c34c2b25bea · outbound

This paper cites Design science in information systems research,.

Responsible AI: The Good, The Bad, The AI Design science in information systems research,

Reference 48

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no resolver link, observed 2026-08-03T07:09:00.109430Z

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source=pdf_text observed=2026-08-03T07:09:00.109430Z digest=sha256:77cbde954b2ece8e4481732164b8334e61468cecd25f25a0fe8a6638440027cf

Observation bb84f9f1-3321-4d9a-90bd-4605d2457b6d · outbound

This paper cites A design science research methodology for information systems research,.

Responsible AI: The Good, The Bad, The AI A design science research methodology for information systems research,

Reference 49

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no resolver link, observed 2026-08-03T07:09:00.196168Z

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source=pdf_text observed=2026-08-03T07:09:00.196168Z digest=sha256:3a8dc2d4391c86025c438d6000357a76b7347a47c5faff1f7714de8097c3bf7e

Pith citing papers

No inbound Pith citation observations are available.