Paper Citation Record · LEDGER

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures

As of 24 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.09025.

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

pith.paper-citation-record.v1
2501.09025 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:24:15.179673Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8def10d7-6012-4ce3-a282-08c0a61a1c62 · outbound

This paper cites Deep learning,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Deep learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.046852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb853b6-5689-494e-b00a-5415d09061d2 · outbound

This paper cites Faster sorting algorithms discovered using deep reinforcement learning,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Faster sorting algorithms discovered using deep reinforcement learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.625392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3caf6cb3-bd1d-4960-879a-059d1b49f831 · outbound

This paper cites Foundation models for generalist medical artificial intelligence,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Foundation models for generalist medical artificial intelligence,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.057337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14302486-ba25-466d-8ae2-0b79624c6f4e · outbound

This paper cites When and how artificial intelligence augments employee creativity,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures When and how artificial intelligence augments employee creativity,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.599667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b24db35-c72c-4b20-bf19-e7c776f8e521 · outbound

This paper cites Accelerating science with human-aware artificial intelligence,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Accelerating science with human-aware artificial intelligence,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.583163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d10cbfc-5dab-4473-91c4-ad6f97e35551 · outbound

This paper cites Large language models can be easily distracted by irrelevant context,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Large language models can be easily distracted by irrelevant context,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.567820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59336b6c-1861-4e25-9f98-81267b7e4e19 · outbound

This paper cites Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machi- avelli benchmark,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machi- avelli benchmark,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.552041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7871dc7-f412-4b68-85e0-941502764754 · outbound

This paper cites Using large language models to simulate multiple humans and replicate human subject studies,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Using large language models to simulate multiple humans and replicate human subject studies,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.536506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39440da3-e030-48c5-957f-92ae20a9e99e · outbound

This paper cites Digital deception: generative artificial intelligence in social engineering and phishing,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Digital deception: generative artificial intelligence in social engineering and phishing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.519889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92d19188-0dc1-41a8-b2ca-90dc8e4349cd · outbound

This paper cites Do users write more insecure code with ai assistants?.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Do users write more insecure code with ai assistants?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.090488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0f2127-84e6-4b3a-9de1-b974cff67009 · outbound

This paper cites How Secure is Code Generated by ChatGPT?.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures How Secure is Code Generated by ChatGPT?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.094864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96df363d-4fe1-44ee-b183-1f6869d4b210 · outbound

This paper cites Is github’s copilot as bad as humans at introducing vulnerabilities in code?.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Is github’s copilot as bad as humans at introducing vulnerabilities in code?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.494377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c21691b6-5286-4a13-a0c3-90820a625711 · outbound

This paper cites Large language models for code: Security hardening and adversarial testing,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Large language models for code: Security hardening and adversarial testing,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.105301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1c9d1f-1264-4c92-98a0-c0869e5e47fa · outbound

This paper cites SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:15.110057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08e46d4-2d35-4afb-89e7-ac18a29f14e2 · outbound

This paper cites Deep learning in business analytics: A clash of expectations and reality,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Deep learning in business analytics: A clash of expectations and reality,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.469967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3bf1dd1-1938-4827-b7cf-bd6f091bda5d · outbound

This paper cites How Generative AI Can Augment Human Creativity,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures How Generative AI Can Augment Human Creativity,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.455119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d375e79-72bd-4d75-b49f-19ce84d4c852 · outbound

This paper cites Machines augmenting en- trepreneurs: Opportunities (and threats) at the Nexus of artificial intel- ligence and entrepreneurship,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Machines augmenting en- trepreneurs: Opportunities (and threats) at the Nexus of artificial intel- ligence and entrepreneurship,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.440423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 455ae895-3580-41b2-8881-e0e3dce4d292 · outbound

This paper cites Data poisoning attacks against multimodal encoders,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Data poisoning attacks against multimodal encoders,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.426083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82b916c1-8705-4339-a78f-11fb50f48f2a · outbound

This paper cites Hacking corpo- rate reputations,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Hacking corpo- rate reputations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.410238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f18b8982-4217-4a24-b85f-565edd06743b · outbound

This paper cites (under) investment in cyber skills and data protection enforcement: Evidence from activity logs of the uk information commissioner’s office,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures (under) investment in cyber skills and data protection enforcement: Evidence from activity logs of the uk information commissioner’s office,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.395632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04bd78dd-2e8a-45bf-89ee-afae6abfd8b5 · outbound

This paper cites Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (ai)-enabled malware and intrusion detection,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (ai)-enabled malware and intrusion detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.380681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2503fddc-05d1-4e71-a043-c2b98ba72051 · outbound

This paper cites Trusting artificial intel- ligence in cybersecurity is a double-edged sword,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Trusting artificial intel- ligence in cybersecurity is a double-edged sword,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.365078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1d69f55-6ad8-471b-bd53-bd0571fd33e5 · outbound

This paper cites Raising the cost of malicious ai-powered image editing,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Raising the cost of malicious ai-powered image editing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.349873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5333aafe-f7e8-4e74-8a3b-1ff7ae6e39f3 · outbound

This paper cites Diagnosis, feedback, adaptation: a human-in-the-loop framework for test-time policy adaptation,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Diagnosis, feedback, adaptation: a human-in-the-loop framework for test-time policy adaptation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.332726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3d6290e-a2bf-4718-91e6-ae5e9578ab0b · outbound

This paper cites Towards trustworthy explanation: on causal rationalization,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Towards trustworthy explanation: on causal rationalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.317304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aaa5ce84-f59c-4fd5-b4e4-b3e3e48ea996 · outbound

This paper cites Fair and accurate decision making through group-aware learning,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Fair and accurate decision making through group-aware learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.301819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8322acf-3d55-410d-8b05-bd2d429fbcbf · outbound

This paper cites Coarse-Tuning Models of Code with Reinforcement Learning Feedback.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Coarse-Tuning Models of Code with Reinforcement Learning Feedback

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:24:15.221952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16566d5a-f442-4066-b737-c434693f676f · outbound

This paper cites A game-theoretic framework for managing risk in multi- agent systems,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures A game-theoretic framework for managing risk in multi- agent systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.286303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19fb6318-1604-4209-b1e1-159f62b84b6e · outbound

This paper cites A systematic threat analysis and defense strategies for the metaverse and extended reality systems,.

Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures A systematic threat analysis and defense strategies for the metaverse and extended reality systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:24:15.270720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.