Paper Citation Record · LEDGER

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2506.18932.

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

pith.paper-citation-record.v1
2506.18932 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:04:41.423735Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T15:11:34.346680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.433048Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy30
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5e4ca85-fa42-4a37-a01e-623179615aaf · outbound

This paper cites The role of machine and deep learning in modern intrusion detection systems: A comprehensive review.Computers and Electrical Engineering, 124:110318, 2025.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries The role of machine and deep learning in modern intrusion detection systems: A comprehensive review.Computers and Electrical Engineering, 124:110318, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.089660Z

Source-reported events for the cited work

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Observation d686d80f-3854-4f24-a79a-09b5af85b817 · outbound

This paper cites Concrete Problems in AI Safety.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Concrete Problems in AI Safety

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.101116Z

Source-reported events for the cited work

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Observation 897cda50-382a-4454-9515-857e843b1cb0 · outbound

This paper cites Anderson.Security Engineering: A Guide to Building Dependable Distributed Systems.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Anderson.Security Engineering: A Guide to Building Dependable Distributed Systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.515992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1e62e00-450e-4755-a32a-985beb5db4c4 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Constitutional AI: Harmlessness from AI Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.117356Z

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Observation 7f49381b-2b33-435f-bbec-1567e7273c4c · outbound

This paper cites fairmlbook.org, 2019.http://www.fairmlbook.org.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries fairmlbook.org, 2019.http://www.fairmlbook.org

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.499630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 57128cc4-8cba-409f-bc2e-4c29ca1817ca · outbound

This paper cites International AI safety report: The international scientific report on the safety of advanced AI.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries International AI safety report: The international scientific report on the safety of advanced AI

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.481933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1938cab2-5c10-4a37-8bb3-bf4798e51f07 · outbound

This paper cites Poisoning attacks against support vector machines.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Poisoning attacks against support vector machines

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.465922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6702c3b-3e79-481d-bd25-41f990dec05d · outbound

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

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries On the Opportunities and Risks of Foundation Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.138725Z

Source-reported events for the cited work

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Observation 7614798f-953c-4258-bd7d-23bdd2e08fec · outbound

This paper cites The social dilemma of autonomous vehicles.Science, 352(6293):1573–1576, 2016.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries The social dilemma of autonomous vehicles.Science, 352(6293):1573–1576, 2016

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.143074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125383af-2076-4b1a-a5cd-7b8314f64525 · outbound

This paper cites Oxford University Press, 2016.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Oxford University Press, 2016

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.426117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c6462ef-1610-4b9f-b58a-e0b50eb7587d · outbound

This paper cites Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.154859Z

Source-reported events for the cited work

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Observation 3872207a-00ee-4e8e-a525-673fa445dc6b · outbound

This paper cites Towards evaluating the robustness of neural networks.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Towards evaluating the robustness of neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.407685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c4685da-bd8d-4541-9bf9-ab8aa6a4d96c · outbound

This paper cites Extracting training data from large language models.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Extracting training data from large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.392188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c74d9e15-2d31-4237-a23f-5279ff539386 · outbound

This paper cites Is Power-Seeking AI an Existential Risk?.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Is Power-Seeking AI an Existential Risk?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.177027Z

Source-reported events for the cited work

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Observation 87d612bc-1c63-469e-8684-31e3b6e2c7aa · outbound

This paper cites Privacy by design: The 7 foundational principles.Information and privacy commissioner of Ontario, Canada, 2009.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Privacy by design: The 7 foundational principles.Information and privacy commissioner of Ontario, Canada, 2009

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.378934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bedb9f1e-43e0-4494-bbf0-c9e5bde33082 · outbound

This paper cites Finlayson, John D.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Finlayson, John D

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.192382Z

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Observation ae99c5bd-02ce-49cf-851f-b115cc2f3f53 · outbound

This paper cites Ai4people—an ethical framework for a good ai society: opportunities, risks, principles, and recommendations.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Ai4people—an ethical framework for a good ai society: opportunities, risks, principles, and recommendations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.366060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b34caaa8-f7b1-43ac-a39c-6ec2dc22574c · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Model inversion attacks that exploit confidence information and basic countermeasures

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.211226Z

Source-reported events for the cited work

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Observation ab4b8570-6328-48e8-8e7e-24d85c605d0b · outbound

This paper cites Artificial intelligence, values, and alignment.Minds and Machines, 30:411–437, 2020.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Artificial intelligence, values, and alignment.Minds and Machines, 30:411–437, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.344097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa35dbcb-e59c-4de4-a97e-1117fb9382ba · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.226958Z

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Observation c73f2f42-0451-4c3f-8523-32a26c432397 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Explaining and Harnessing Adversarial Examples

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.231711Z

Source-reported events for the cited work

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Observation 775d370b-c8da-4af4-94a9-a08f66eb329a · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.330043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8d4f59d-68a5-4361-bc3a-b51ec3a12178 · outbound

This paper cites XAI—explainable artificial intelligence.Science Robotics, 4(37), 2019.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries XAI—explainable artificial intelligence.Science Robotics, 4(37), 2019

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:04:42.315927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8e27fb9-ac23-4479-9752-b69a18e13ca0 · outbound

This paper cites Natural Adversarial Examples.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Natural Adversarial Examples

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.249981Z

Source-reported events for the cited work

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Observation 97f454b0-2a86-4ba4-a3ec-1b3b16a0353e · outbound

This paper cites Unsolved Problems in ML Safety.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Unsolved Problems in ML Safety

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.259579Z

Source-reported events for the cited work

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Observation dc77d8f9-9a32-419a-9860-f46645f8d800 · outbound

This paper cites An Overview of Catastrophic AI Risks.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries An Overview of Catastrophic AI Risks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.266452Z

Source-reported events for the cited work

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Observation 03885cdf-62ea-4b34-9af7-5d1bdb3a61e1 · outbound

This paper cites Chapman and hall/CRC, 2007.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Chapman and hall/CRC, 2007

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.300408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f28e59ea-0018-4928-b397-8fee8e0a0fa5 · outbound

This paper cites an unresolved cited work.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:42.285465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 513de459-d3f2-4050-a830-fa225c57d3b0 · outbound

This paper cites Experimental security analysis of a modern automobile.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Experimental security analysis of a modern automobile

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.263464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 446e5615-8c0b-4c0b-80ea-4b2721d0d408 · outbound

This paper cites Leveson.Engineering a Safer World: Systems Thinking Applied to Safety.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Leveson.Engineering a Safer World: Systems Thinking Applied to Safety

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.296281Z

Source-reported events for the cited work

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Observation ccb6deff-b086-441e-8462-14a812a6ba87 · outbound

This paper cites Lundberg and Su-In Lee.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Lundberg and Su-In Lee

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.247003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 605af2da-4a1d-48e6-a45b-ed8143b83907 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.International Conference on Learning Representations (ICLR), 2018.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Towards deep learning models resistant to adversarial attacks.International Conference on Learning Representations (ICLR), 2018

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.219070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a89a5f91-db8a-4f30-b6b2-613ea3bb1df8 · outbound

This paper cites Vintage Books, 2019.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Vintage Books, 2019

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.192208Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8deb5827-2e37-4e50-8bed-0bb9ab5988f9 · outbound

This paper cites A survey on bias and fairness in machine learning.ACM Computing Surveys, 54(6):1–35, 2021.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries A survey on bias and fairness in machine learning.ACM Computing Surveys, 54(6):1–35, 2021

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.175410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9bffd28b-d9c6-4210-8a50-bcdbe20ae36f · outbound

This paper cites Security and privacy controls for information systems and organizations.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Security and privacy controls for information systems and organizations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.158177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a57e8bea-9195-4ccd-956d-a17566ec2f33 · outbound

This paper cites Artificial intelligence risk management framework (ai rmf 1.0).

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Artificial intelligence risk management framework (ai rmf 1.0)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.133835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d1b507b-4935-4ce4-abac-a9cfcb3ac376 · outbound

This paper cites Safely interruptible agents.Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI), 2016.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Safely interruptible agents.Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI), 2016

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.114857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 915ae77d-0758-4086-bf43-5ef38188a676 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.350859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69497148-ea8b-4112-93c7-af841641426b · outbound

This paper cites Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, and Prateek Mittal.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, and Prateek Mittal

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.075356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d30c774-b174-438d-b38d-00b37b4235e3 · outbound

This paper cites why should i trust you?.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries why should i trust you?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.363299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae046b76-93e7-41c2-9040-88981842053e · outbound

This paper cites Artificial intelligence and the problem of control.Perspectives on digital humanism, 19:1–322, 2022.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Artificial intelligence and the problem of control.Perspectives on digital humanism, 19:1–322, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.055985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73662e88-6dd2-4b94-a01c-9fec7cba5e60 · outbound

This paper cites Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:42.036779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2470675d-9ab8-4516-96aa-b52d095eeb08 · outbound

This paper cites Membership inference attacks against machine learning models.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Membership inference attacks against machine learning models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.994309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ead68bb5-9715-4420-9321-0a9af6e4190b · outbound

This paper cites Secure software development framework (ssdf) version 1.1.NIST Special Publication, 800(218):800–218, 2022.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Secure software development framework (ssdf) version 1.1.NIST Special Publication, 800(218):800–218, 2022

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.973023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10f069bf-8c3f-4585-b669-d75d0748f191 · outbound

This paper cites Tanenbaum and David J.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Tanenbaum and David J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.955751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2496b3e-9241-40de-b221-c1f7aef0faf8 · outbound

This paper cites Ai security has serious terminology issues.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Ai security has serious terminology issues

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.936438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 242da496-ac61-4ac8-b3ad-ad517a28f4a8 · outbound

This paper cites Hachette UK, 2019.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Hachette UK, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.912445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7793967c-f8d9-4b29-a169-9dce8954d6d3 · outbound

This paper cites Reiter, and Thomas Ristenpart.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Reiter, and Thomas Ristenpart

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.895610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ae305b5-3c3a-4d48-a41e-5d4e2e3274be · outbound

This paper cites Embedding watermarks into deep neural networks.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Embedding watermarks into deep neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:41.877217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7238465e-761b-4341-9b02-53cdc12e87ef · outbound

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

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Ethical and social risks of harm from Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.413640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5bcf01-6b62-4c7c-83d2-bb7682c63623 · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries Improving Alignment and Robustness with Circuit Breakers

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:41.423735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 72585d12-4fea-4742-a54b-b5b6bae973c5 · inbound

AI Assurance in UK Defence: Challenges in Operationalising JSP 936 cites this paper.

AI Assurance in UK Defence: Challenges in Operationalising JSP 936 AI Safety vs. AI Security: Demystifying the Distinction and Boundaries

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.434519Z

Source-reported events for the cited work

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