Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance | Paper Citation Record

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance GPT-4 Technical Report

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Health Insurance Portability and Accountability Act of 1996

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Aghion, A

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Albuquerque and P

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance ASD-STE100 Simplified Technical English

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Form and Style for ASTM Standards, 2025

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Berger, L

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Betker, G

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Measuring Progress on Scalable Oversight for Large Language Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Brown, B

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Standards terminology: When is a standard no longer a standard?, 2024

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Burns, P

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Chiang, Z

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Chiang, L

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Chowdhery, S

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Coeckelbergh

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Colombo, T

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Faithful Reasoning Using Large Language Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance da Cunha

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Classification of Safety Events at Nuclear Sites using Large Language Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Demortain

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Generative AI in education: educator and expert views

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance When Standards Change, 2018

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Ehsan, P

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Eiras, A

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Elkins, E

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Glandorf and D

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Deliberative Alignment: Reasoning Enables Safer Language Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Hashem, S

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Hildebrandt, T

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Hirata, Y

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Huang and K

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Conformity Assessment

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Iso/iec 22989:2022 - information technology — artificial intelligence — artificial intelligence concepts and terminology, 2022

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Information security, cybersecurity and privacy protection — informa- tion security management systems — requirements, 2022

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Joseph, L

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Kenton, N

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Khanzada

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Lewis, E

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Liang, R

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Liu and V

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Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Malik, S

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5b4e454-f155-44a1-9016-9c64827acb45 · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b40c165-bf8c-4fdc-8319-8d0a2d3f3817 · outbound

This paper cites Meskó and E.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Meskó and E

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.271374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef52ddb6-517b-4feb-a90b-cbed374f81de · outbound

This paper cites Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f15dda-e07e-4b65-9aea-e69290db879f · outbound

This paper cites The Necessity of AI Audit Standards Boards.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance The Necessity of AI Audit Standards Boards

Reference 68

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Source-reported events for the cited work

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Observation 9c31416a-c5e1-4aab-8c1d-3ab6a2f1664e · outbound

This paper cites The State of AI in Early 2024: Gen AI Adoption Spikes and Starts to Generate Value.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance The State of AI in Early 2024: Gen AI Adoption Spikes and Starts to Generate Value

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.286915Z

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Observation 6a920d77-2876-4d94-abfc-5cdb689fda72 · outbound

This paper cites Mökander, J.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Mökander, J

Reference 70

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Source-reported events for the cited work

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Observation 07d096b6-1ab2-4193-8e7f-be36f745069d · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:05:26.221483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22a59b2b-ac50-4223-8f41-83acff111c50 · outbound

This paper cites Mishra, D.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Mishra, D

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.255940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5d61d21-9674-4d38-a7c7-8c03b76fe2ad · outbound

This paper cites GPT-4V System Card, 2023.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance GPT-4V System Card, 2023

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.188579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69a7f5ef-f48b-4709-9524-209f352bc47a · outbound

This paper cites AILuminate: A Collaborative, Transparent Approach to Safer AI, 2025.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance AILuminate: A Collaborative, Transparent Approach to Safer AI, 2025

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.238603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77f517b9-63c4-4373-b93e-5ec4ca5a93b8 · outbound

This paper cites Papenmeier, D.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Papenmeier, D

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.159403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 398b5e6b-b87b-4c14-a3f7-c17eba8346ec · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:05:26.145382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9aac217-aa6f-4875-8af4-60b0690ba0ff · outbound

This paper cites Science and engineering indicators 2018, 2018.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Science and engineering indicators 2018, 2018

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.205506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b756a12f-7e0a-4602-b993-8ce821a198db · outbound

This paper cites Pouget and R.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Pouget and R

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.098651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 714ea204-4575-4f8d-84d6-583c5bd9ddf6 · outbound

This paper cites Ouyang, J.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Ouyang, J

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.173860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2355c3e-0f85-4129-9043-7e7cbe3a8cfa · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.431803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e776f263-8158-4972-a742-2baa64ce8af1 · outbound

This paper cites Regulation.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Regulation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.082774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae67699b-e3c8-4803-8917-45b399112e66 · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:05:26.131239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d95aeba-df6e-402d-b466-26442e101ad0 · outbound

This paper cites Accessed: 2025-01-24.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Accessed: 2025-01-24

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.114127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c6433bd-cb3a-472a-b386-aa6f9f938b16 · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 84

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T15:05:25.331992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 857f4e94-4595-4fc6-bd9c-6eb2cc643e63 · outbound

This paper cites Rafailov, A.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Rafailov, A

Reference 85

Resolution: malformed identifier; no resolver link, observed 2026-08-09T15:05:24.426341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fb7c74-22ea-46ea-ad0c-563444484135 · outbound

This paper cites Sanmarchi, A.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Sanmarchi, A

Reference 86

Resolution: verified exact; doi, observed 2026-08-09T15:05:24.656204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b1aeca9-11d9-4d53-a4e0-644a02777a08 · outbound

This paper cites Schick, J.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Schick, J

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.016737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b424bcc-85bb-49c2-a76c-cee63b7ec060 · outbound

This paper cites Riegelsberger, M.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Riegelsberger, M

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.062436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0a59477-ce4e-4928-914c-31cdc3b56d07 · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.498480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6e54ab-0ed7-4f15-9319-9fab073470dc · outbound

This paper cites Rombach, A.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Rombach, A

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.031645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7d02ab4-7cab-41b4-8c65-e35c03e37ad9 · outbound

This paper cites Song and V.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Song and V

Reference 91

Resolution: malformed identifier; doi_truncated, observed 2026-08-09T15:05:25.047723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e0bf907-9cbe-4c0f-9d33-12b175eb951b · outbound

This paper cites Sallam, M.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Sallam, M

Reference 92

Resolution: verified exact; raw_fallback, observed 2026-08-09T15:05:25.231966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54c7bda6-f405-401d-a0e6-7c5bf43d62fc · outbound

This paper cites Tapscott and A.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Tapscott and A

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:25.985191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e9d812b-45af-4426-a26f-38fe99f801e7 · outbound

This paper cites Schmidt, F.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Schmidt, F

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.493507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763959a1-c3f9-4e1a-a96d-2875acc04f91 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.537994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 126d3bb8-f884-4b44-807d-eadce9b8cb60 · outbound

This paper cites FRANC: A Lightweight Framework for High-Quality Code Generation.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance FRANC: A Lightweight Framework for High-Quality Code Generation

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:05:25.070395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c705e0a6-a5f3-44c1-8d5b-d10e5260ffdf · outbound

This paper cites Weber and H.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Weber and H

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:25.937426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdf136db-c789-4501-ae74-846e6d7de0e4 · outbound

This paper cites Srivastava, A.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Srivastava, A

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:05:26.001199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 900db219-aaf0-4f96-b114-caa069d55aca · outbound

This paper cites an unresolved cited work.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:05:25.905178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca08acb6-e9c3-4a0f-a3d8-87279c4ffe04 · outbound

This paper cites Specifications: The missing link to making the development of LLM systems an engineering discipline.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.524347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c6251b-9cf9-4bf3-ac06-31f95242a41a · outbound

This paper cites Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:24.565503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers