Paper Citation Record · LEDGER

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.07974.

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

pith.paper-citation-record.v1
2502.07974 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:18:14.276858Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

44 of 44 outbound references displayed

verified exact2
verified fuzzy23
unresolved19
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c054c32b-22b2-4235-96ea-41cd0692cbcf · outbound

This paper cites A framework for understanding sources of harm throughout the machine learning life cycle,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems A framework for understanding sources of harm throughout the machine learning life cycle,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.937372Z

Source-reported events for the cited work

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Observation fa87ec08-4d0b-47eb-8bd7-bdacc0a87dd9 · outbound

This paper cites When machine unlearning jeopardizes privacy,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems When machine unlearning jeopardizes privacy,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:14.097055Z

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Observation 7fad0982-c46a-41c9-87fa-f458173fe09e · outbound

This paper cites Bias and unfairness in machine learning models: a systematic literature review.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Bias and unfairness in machine learning models: a systematic literature review

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:18:14.477802Z

Source-reported events for the cited work

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Observation 1981dbb7-0e34-4242-aafe-51c958d7e2ef · outbound

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

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems A survey on bias and fairness in machine learning,

Reference 4

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Observation ba2259e3-0568-4b9c-b2bb-da6b72ca5635 · outbound

This paper cites AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms

Reference 5

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Observation 28d475f2-41c7-4c1d-a0bd-6cc0fd67f01c · outbound

This paper cites Farsight: Fostering responsible ai awareness during ai application prototyping,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Farsight: Fostering responsible ai awareness during ai application prototyping,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.907686Z

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Observation a1905ee2-4c20-4e2c-a659-91b3de33252f · outbound

This paper cites Responsible AI impact assessment template,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Responsible AI impact assessment template,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.894954Z

Source-reported events for the cited work

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Observation 49b15970-0389-4d3c-a118-bc850d931496 · outbound

This paper cites System Safety Engineering for Social and Ethical ML Risks: A Case Study.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems System Safety Engineering for Social and Ethical ML Risks: A Case Study

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:18:14.447714Z

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Observation c84243bf-47fe-4733-9ef0-6da1e18509f5 · outbound

This paper cites A Hazard Analysis Framework for Code Synthesis Large Language Models.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems A Hazard Analysis Framework for Code Synthesis Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:14.127866Z

Source-reported events for the cited work

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Observation 2aebff77-8b5f-470c-993d-0bedb930859b · outbound

This paper cites System safety and artificial intelligence,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems System safety and artificial intelligence,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:14.132052Z

Source-reported events for the cited work

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Observation c50b6ddf-8de2-4af2-bc86-d8e454b71480 · outbound

This paper cites Exploring opportunities in usable hazard analysis processes for ai engineering,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Exploring opportunities in usable hazard analysis processes for ai engineering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.882422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dc446fc-5d1b-40eb-8f9d-b0c294ef10e4 · outbound

This paper cites Beyond the ml model: Applying safety engineering frameworks to text-to-image development,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Beyond the ml model: Applying safety engineering frameworks to text-to-image development,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.869060Z

Source-reported events for the cited work

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Observation cffc4229-4ce9-4c4f-9edc-b9b0ac71f1d3 · outbound

This paper cites From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ml,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ml,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.856863Z

Source-reported events for the cited work

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Observation 0592349c-95a9-44ab-8f8c-7a202f1ff962 · outbound

This paper cites From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems

Reference 14

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Observation 25c19227-41c9-4f49-90e2-c98d4e3937c8 · outbound

This paper cites How do ai systems fail socially?: an engi- neering risk analysis approach,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems How do ai systems fail socially?: an engi- neering risk analysis approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.843993Z

Source-reported events for the cited work

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Observation 60bfccd8-1a12-4c46-b0e9-7137d67ed03d · outbound

This paper cites Safety engineering for autonomous vehicles,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Safety engineering for autonomous vehicles,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.830503Z

Source-reported events for the cited work

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Observation 152a22b0-d5a7-48ef-b1f8-4f2a413095b1 · outbound

This paper cites Using STPA in Compliance with ISO 26262 for Developing a Safe Architecture for Fully Automated Vehicles.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Using STPA in Compliance with ISO 26262 for Developing a Safe Architecture for Fully Automated Vehicles

Reference 17

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Source-reported events for the cited work

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Observation 5703456a-4248-4426-8793-2ec7ac079cc8 · outbound

This paper cites and Thomas, John P., STPA handbook, MIT Part- nership for Systems Approaches to Safety and Security (PSASS), Cambridge, Massachusetts, U.S., 2018.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems and Thomas, John P., STPA handbook, MIT Part- nership for Systems Approaches to Safety and Security (PSASS), Cambridge, Massachusetts, U.S., 2018

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.817441Z

Source-reported events for the cited work

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Observation c95bb3dd-55ee-4873-ae8a-7440d2407239 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big?.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems On the dangers of stochastic parrots: Can language models be too big?

Reference 19

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Observation 260e18ab-36c0-489c-8d41-43ce926dc4d3 · outbound

This paper cites Ethical and social risks of harm from Language Models.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Ethical and social risks of harm from Language Models

Reference 20

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Observation 39c4d5cf-ac13-433d-8b32-41ecd13e018d · outbound

This paper cites Learning fair representations,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Learning fair representations,

Reference 21

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Observation e892b808-b365-456f-a419-87770e8569be · outbound

This paper cites Privacy-preserving deep learning,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Privacy-preserving deep learning,

Reference 22

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Observation 3fe7fc11-662a-4abe-98af-9026e477a567 · outbound

This paper cites Responsible ai tools and practices,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Responsible ai tools and practices,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.772709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation faa3bec2-f8f9-4a05-a91b-2db6c7d0b09b · outbound

This paper cites Anticipating impacts: Using large-scale scenario writing to explore diverse implications of generative ai in the news environment,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Anticipating impacts: Using large-scale scenario writing to explore diverse implications of generative ai in the news environment,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.759874Z

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Observation aa10e4cf-207f-43a0-88db-f1523a07b356 · outbound

This paper cites Co- designing an ai impact assessment report template with ai practitioners and ai compliance experts,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Co- designing an ai impact assessment report template with ai practitioners and ai compliance experts,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.745714Z

Source-reported events for the cited work

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Observation 9d3397f3-5669-42de-b8fa-e7df5dd17b3e · outbound

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From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:14.731489Z

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Observation ed8f8d8a-f5cf-4a9f-927d-66b208bb191d · outbound

This paper cites A new accident model for engineering safer systems,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems A new accident model for engineering safer systems,

Reference 27

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Observation 3ac53ffd-53e9-4483-aa77-d4a2271012b7 · outbound

This paper cites Guidelines and methods for conducting the safety assessment process on civil airborne systems and equipment,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Guidelines and methods for conducting the safety assessment process on civil airborne systems and equipment,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.704501Z

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From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 29

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From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:14.680182Z

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This paper cites an unresolved cited work.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:14.667208Z

Source-reported events for the cited work

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Observation e32306a8-f090-4a65-8090-7c17f394deee · outbound

This paper cites [Online].

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems [Online]

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.655227Z

Source-reported events for the cited work

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Observation d516cc67-2082-4f3d-87bb-4d853f203a5e · outbound

This paper cites Chatgpt assistant: Alltrails,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Chatgpt assistant: Alltrails,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.642905Z

Source-reported events for the cited work

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Observation 9ce819b4-9d13-44f7-a8a9-a9d265fba3d6 · outbound

This paper cites Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.628952Z

Source-reported events for the cited work

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Observation 4f594c04-5b3d-4097-b721-b1445fa36a06 · outbound

This paper cites Howard and D.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Howard and D

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.614090Z

Source-reported events for the cited work

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Observation fd1695c8-b052-41f2-a455-22469b22ad45 · outbound

This paper cites Howard and S.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Howard and S

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.596934Z

Source-reported events for the cited work

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Observation 9aaef9b1-e886-4d70-8cbb-def175dc1aef · outbound

This paper cites Automated machine learning (automl): an overview of opportunities for application and research,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Automated machine learning (automl): an overview of opportunities for application and research,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.582625Z

Source-reported events for the cited work

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Observation 1b0f9913-27ac-4c8f-ac43-702a55ef1169 · outbound

This paper cites Trust in automl: exploring information needs for es- tablishing trust in automated machine learning systems,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Trust in automl: exploring information needs for es- tablishing trust in automated machine learning systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.568889Z

Source-reported events for the cited work

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Observation aee621b6-1dfc-41f4-b64d-7f2bad2e7e66 · outbound

This paper cites K ¨astner, Machine Learning in Production: From Models to Products.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems K ¨astner, Machine Learning in Production: From Models to Products

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.552782Z

Source-reported events for the cited work

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Observation d371ddc7-c6a4-4a96-9e64-38e76848fab3 · outbound

This paper cites Adopting devops in the real world: A theory, a model, and a case study,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Adopting devops in the real world: A theory, a model, and a case study,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:14.261134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4374842-484a-46e6-b0bf-0d5c33ff7ce0 · outbound

This paper cites an unresolved cited work.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:14.530524Z

Source-reported events for the cited work

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Observation 64144641-8b14-4291-bef2-da8aea12a867 · outbound

This paper cites Where responsible ai meets reality: Practitioner perspectives on enablers for shifting or- ganizational practices,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Where responsible ai meets reality: Practitioner perspectives on enablers for shifting or- ganizational practices,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.516259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b7646bf-76a7-4bc7-8a12-9156954a3e74 · outbound

This paper cites The sociological imagination and social responsibility,.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems The sociological imagination and social responsibility,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:14.503014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 488d0759-4c86-4f51-9d88-7be111bc61e5 · outbound

This paper cites an unresolved cited work.

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:14.490174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.