Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:54.665385Z
Paper Citation Record · LEDGER
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2501.08814.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:42:52.241471Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved41
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5a01da03-8cbd-42d7-b97b-1af96547fb35 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector , " * write output.state after.block = add.period write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.409895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed42006c-a280-4bfb-9e4f-4864b2b51461 · outbound
This paper cites write newline.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector write newline
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.415781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 520cf9a3-8a04-43c7-b251-288720c5cb58 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.688585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d1ec6463-6f6f-472c-9e32-2b89c388f663 · outbound
This paper cites A.; Ruiz Mondragon, M.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector A.; Ruiz Mondragon, M
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.673621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2c56173a-6653-4181-b487-2369c9b0cd95 · outbound
This paper cites Generative AI is already widespread in the public sector.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Generative AI is already widespread in the public sector
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.432295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ce1f740-ea2c-4d2a-afce-e3a04efd76dc · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.658218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f3278696-778c-4fb2-bbee-dc8241bc6c73 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.443135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9801ac7d-934e-4015-83ed-6203cc3cb747 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.643053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ba3c4d5-cf70-4866-ad98-df6c72aae24f · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.627280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a931a8c-9b76-4729-bd48-ae23fc349ed7 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.611637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 020ab408-14c8-4dbc-883b-6a11f8e39aff · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.595451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5c9aeec5-1420-47f5-a1c7-b29aae6722b6 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.580342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 23c85862-8203-4ac2-a50c-0122fbd6ad16 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.565816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 49ef94da-193d-45c3-b1d5-9384adf42bd8 · outbound
This paper cites Bias in Generative AI.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Bias in Generative AI
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.481582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e90885a6-f29d-43ff-b8ea-29572473e437 · outbound
This paper cites Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.486847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74812d3c-b54a-4354-a7fc-9cd161c9202b · outbound
This paper cites Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.492100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84e86a7a-a76a-420c-9131-97f14ef154fd · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.550065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0da8b195-ff0a-438c-ac30-c65303c9c836 · outbound
This paper cites The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.503351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a82ab0c-38d6-4b63-8399-44d1a04345da · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.534586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f6fb5db5-711a-45b6-bb06-fdbe0f9f505f · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.519642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cab56dfe-4310-4970-8a96-36e3a3c552c7 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.503165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a3a70614-b4be-471e-a3be-03821a316a50 · outbound
This paper cites S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.484527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 91569c6c-d8f9-4e26-abfc-767a5c8fb318 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.467199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 21e75a12-b1c6-443b-9fdc-fe173c309d5d · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.451348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cd7cd3b7-ecbd-45d5-9253-4589383f4a98 · outbound
This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector DeepInception: Hypnotize Large Language Model to Be Jailbreaker
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.540177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3ce5f09-90e2-4161-9398-0897c0e80f88 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.435706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d5ce5e26-65ad-4403-ba1e-6113f86b2a6c · outbound
This paper cites D.; Zou, Y.; and Wang, W.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector D.; Zou, Y.; and Wang, W
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.418344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 346b6344-5068-4745-8259-801fc9b0af93 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.556159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16847a2d-a0fd-4f88-b212-15693268a3f7 · outbound
This paper cites K.; Choi, E.; and Wang, V.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector K.; Choi, E.; and Wang, V
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.389803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0b30d4bf-3590-4942-8a92-0de08b047280 · outbound
This paper cites Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T20:18:54.853677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4c90f81f-6c84-401d-be7c-bf90a17bead5 · outbound
This paper cites R.; Yunusov, K.; and Gordon, B.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector R.; Yunusov, K.; and Gordon, B
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.267091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fb6f0e10-9cc7-42b5-a399-de553b15b3e4 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.250858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ffdfef2d-88e8-403f-850d-4457942e4b7a · outbound
This paper cites Trust No AI: Prompt Injection Along The CIA Security Triad.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Trust No AI: Prompt Injection Along The CIA Security Triad
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.583249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fab8ee7-c33f-4517-baf5-d34f7b446dbf · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.233950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95a6281c-f7f5-46da-87b4-83cf4e42841d · outbound
This paper cites Exfiltration of personal information from ChatGPT via prompt injection.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Exfiltration of personal information from ChatGPT via prompt injection
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.595444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49322ee-b74a-478a-a961-1294a90a1100 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.214936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 16dda031-efd7-402e-b496-5e4b922a1d9d · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.198590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4bfbb7ab-c3d8-4da5-91d8-b42ff701d150 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.180073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3c8cf1e6-2ef8-43c0-a61e-b58c79efb359 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.163499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2fd3310a-20b8-4527-885a-a79e278199b3 · outbound
This paper cites Citizenship and Immigration Services.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Citizenship and Immigration Services
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.147604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 819f1329-88f7-4489-8450-6f57b2b9922d · outbound
This paper cites H.; Le, Q.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector H.; Le, Q
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:18:55.131500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 63d9e0ee-0498-4907-868b-4c6025241747 · outbound
This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.629940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24d00122-368f-4089-bea2-47a7c93c4508 · outbound
This paper cites an unresolved cited work.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:18:55.115455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 10dacf47-59a6-453e-929f-9e242db97b28 · outbound
This paper cites Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.641017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 688f1e85-24bc-40c5-9b0b-04ef26d4b3b4 · outbound
This paper cites Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.645975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e61ae2ba-0440-4dea-ac02-dba057b7e5ed · outbound
This paper cites AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.651235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b70321f9-361d-440e-bc8e-aa948d4f5c52 · outbound
This paper cites Don't Say No: Jailbreaking LLM by Suppressing Refusal.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Don't Say No: Jailbreaking LLM by Suppressing Refusal
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.655981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5931151e-6753-4ea5-83a9-f648e75b7d7d · outbound
This paper cites A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.660586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14105110-97b0-4f12-8021-4bc7814cae65 · outbound
This paper cites U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.665385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 1048b1dc-fb49-4eb6-8913-d52dccbcca7a · inbound
AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis cites this paper.
AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:42:52.241471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.