Paper Citation Record · LEDGER

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2502.03467.

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

pith.paper-citation-record.v1
2502.03467 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:24.302537Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:22:17.663921Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy33
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a295ba95-1bc8-4511-b0b6-212fff14ab84 · outbound

This paper cites Socio-technical systems: From design methods to systems engineering.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Socio-technical systems: From design methods to systems engineering

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:25.046515Z

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 008c394c-0b70-4117-ad57-7ab10e8868b7 · outbound

This paper cites International Scientific Report on the Safety of Advanced AI , Interim Report.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems International Scientific Report on the Safety of Advanced AI , Interim Report

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:25.029017Z

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 07d246cc-ad5e-4a0d-b4ef-08668f2ea5ee · outbound

This paper cites Requirements-driven model checking and test generation for comprehensive verification.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Requirements-driven model checking and test generation for comprehensive verification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:25.012969Z

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 600e6164-f5eb-42be-9dee-5a69a234a9a5 · outbound

This paper cites Toward a formalism for conservative claims about the dependability of software-based systems.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Toward a formalism for conservative claims about the dependability of software-based systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.996526Z

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 c421967c-4db2-4e0a-9fa9-489618c2d909 · outbound

This paper cites an unresolved cited work.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:24.979779Z

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 9403397f-d9e1-4aa3-926b-b64fe19ef3ec · outbound

This paper cites Safety and assurance cases: Past, present and possible future---an Adelard perspective.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Safety and assurance cases: Past, present and possible future---an Adelard perspective

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.964291Z

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 68b6e741-9c5b-48cb-9776-aa5e0a974966 · outbound

This paper cites Evaluating the resilience and security of boundaryless, evolving socio-technical systems of systems.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Evaluating the resilience and security of boundaryless, evolving socio-technical systems of systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.948288Z

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 eb81ad60-a101-44c8-94e0-bfee3536fe47 · outbound

This paper cites Assurance 2.0: A Manifesto.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Assurance 2.0: A Manifesto

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:24.117124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b5e353-5dfd-45bf-a606-8ccff4489b86 · outbound

This paper cites Assurance of AI Systems From a Dependability Perspective.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Assurance of AI Systems From a Dependability Perspective

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:24.123174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53da6f94-368f-41e4-a01a-70f54dbe06e7 · outbound

This paper cites Confidence in Assurance 2.0 Cases.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Confidence in Assurance 2.0 Cases

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:44:24.383442Z

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 1574af61-ac8b-4c5c-a499-261542c0f259 · outbound

This paper cites Models are central to AI assurance.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Models are central to AI assurance

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.931645Z

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 a1b03f5c-694e-42b7-90de-c3ba75cf0411 · outbound

This paper cites Assurance 2.0 home page.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Assurance 2.0 home page

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.915815Z

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 3ff6bfb4-45e8-43b6-8acc-4f2362b432ea · outbound

This paper cites Computer trading and systemic risk: a nuclear perspective.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Computer trading and systemic risk: a nuclear perspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.899463Z

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 c0548f6f-0200-42c3-b69a-1689b346e6d7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems On the Opportunities and Risks of Foundation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:24.151059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d4c9062-e740-4ecb-aa44-1eae8e4be1a1 · outbound

This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:24.156225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09543f55-2391-46f6-b6cd-c07a5d45ce36 · outbound

This paper cites Viability and Resilience of Complex Systems: Concepts, Methods and Case Studies from Ecology and Society.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Viability and Resilience of Complex Systems: Concepts, Methods and Case Studies from Ecology and Society

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.883746Z

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 fb6eb273-1532-4358-953e-3dec5e045666 · outbound

This paper cites A Tutorial on Runtime Verification.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems A Tutorial on Runtime Verification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.867988Z

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 74d83656-d50a-4ff9-aca9-e04c5610629e · outbound

This paper cites New nuclear power plants: Generic design assessment.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems New nuclear power plants: Generic design assessment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.852473Z

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 992076f8-17d9-4a0a-91ea-fc05302fa7dc · outbound

This paper cites Technical report, Health and Safety Executive, Stationaery Office, Norwich UK, 2001.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Technical report, Health and Safety Executive, Stationaery Office, Norwich UK, 2001

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.837616Z

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 9c28fa2d-15ba-475d-95a6-88632856fb7b · outbound

This paper cites IAEA Nuclear Energy Series NP-T-3.27, International Atomic Energy Agency, Vienna, Austria, 2018.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems IAEA Nuclear Energy Series NP-T-3.27, International Atomic Energy Agency, Vienna, Austria, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.822040Z

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 3f2f51d8-37d7-4149-b3ae-4eb4c4469a32 · outbound

This paper cites Human factors integration (HFI).

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Human factors integration (HFI)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.806500Z

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 7e779e99-b76b-4f91-91f3-19cfd3429f8a · outbound

This paper cites International Atomic Energy Agency, 2018.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems International Atomic Energy Agency, 2018

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.791646Z

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 691ac47d-8cc0-4f87-9b2e-f4ae31c67f4f · outbound

This paper cites Technical Standard PAS 21448, International Organization for Standardization (ISO), 2019.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Technical Standard PAS 21448, International Organization for Standardization (ISO), 2019

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.776677Z

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 ef066eef-37f5-4efb-97a5-201423c629d0 · outbound

This paper cites Millett, editors.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Millett, editors

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.761515Z

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 e4964e6e-06c1-442a-8320-289172e74348 · outbound

This paper cites Real-Time Systems: Design Principles for Distributed Embedded Applications.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Real-Time Systems: Design Principles for Distributed Embedded Applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.745840Z

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 befe3c6f-730b-49b1-99e3-51539889f98d · outbound

This paper cites Proofs and Refutations.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Proofs and Refutations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.729998Z

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 430b07e1-91c4-48b8-ac7f-7f1e54b9573c · outbound

This paper cites an unresolved cited work.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:24.714871Z

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 81c309ea-fec1-40e9-8839-3cab557fcc20 · outbound

This paper cites Open Minded: Working Out the Logic of the Soul.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Open Minded: Working Out the Logic of the Soul

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.699102Z

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 a6a048ed-326a-460c-b1b0-74e75995754e · outbound

This paper cites Plato and the Nerd : The Creative Partnership of Humans and Technology.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Plato and the Nerd : The Creative Partnership of Humans and Technology

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.683615Z

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 25febbc8-3b7b-4852-969f-b38456a375bd · outbound

This paper cites Our big problem is not misinformation; it's knowingness.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Our big problem is not misinformation; it's knowingness

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.667851Z

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 ef8ede88-c63e-4629-b240-6a18a7f31753 · outbound

This paper cites an unresolved cited work.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:24.651308Z

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 e37469f0-acf1-46b9-9eb7-8e136a9de3ba · outbound

This paper cites Normal Accidents: Living with High Risk Technologies.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Normal Accidents: Living with High Risk Technologies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.635958Z

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 8be7b209-9014-4ea2-936d-ada53fe9af5e · outbound

This paper cites Technical report, Royal Academy of Engineering, London UK, Undated.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Technical report, Royal Academy of Engineering, London UK, Undated

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.618687Z

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 35bfcee5-3778-43e2-943d-e71f2452aebb · outbound

This paper cites an unresolved cited work.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:24.601932Z

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 18053d39-33b2-4c54-a8d1-fb8f43fc1823 · outbound

This paper cites Quality measures and assurance for AI software.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Quality measures and assurance for AI software

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.584433Z

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 5850589f-5347-4c34-82f1-78b721aa58be · outbound

This paper cites Critical system properties: Survey and taxonomy.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Critical system properties: Survey and taxonomy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.566144Z

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 6a7fdfd2-9088-4311-86f5-9ae160b492e3 · outbound

This paper cites Runtime certification.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Runtime certification

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.548298Z

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 0c1570f9-b0dd-4233-a0a9-f2ce0db3c2f2 · outbound

This paper cites The interpretation and evaluation of assurance cases.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems The interpretation and evaluation of assurance cases

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.529863Z

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 c4fdb954-3468-44fb-87e7-eff89e555b6f · outbound

This paper cites Technical Standard J3016, SAE International, April 2021.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Technical Standard J3016, SAE International, April 2021

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.511848Z

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 ddc23051-2706-4daa-829a-f6e1ce1a130c · outbound

This paper cites an unresolved cited work.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:24.493773Z

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 f1738fdb-c185-4ab1-914f-872abfd6ed65 · outbound

This paper cites Development of the ISO 21448.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Development of the ISO 21448

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.477066Z

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 171b31e6-72aa-4d7c-a4e0-2ef11a70b90d · outbound

This paper cites Open Systems Dependability: Dependability Engineering for Ever-Changing Systems.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Open Systems Dependability: Dependability Engineering for Ever-Changing Systems

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.459788Z

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 a777c757-c71e-4b03-8c31-6e51c3ee64d7 · outbound

This paper cites Clarissa : Foundations, tools and automation for assurance cases.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Clarissa : Foundations, tools and automation for assurance cases

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:24.436462Z

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.

Pith citing papers

Observation 32450e64-6334-43ff-8906-a1a94e195719 · inbound

PRBench: A Standardized Probabilistic Robustness Benchmark cites this paper.

PRBench: A Standardized Probabilistic Robustness Benchmark Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T00:22:17.663921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46939577-4b17-4b3f-b12a-bea5c4d70bb8 · inbound

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering cites this paper.

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:47:35.035307Z

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 709b81cf-a6ea-4740-abe1-4c2833d708be · inbound

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering cites this paper.

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:09:48.375919Z

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.