Paper Citation Record · LEDGER

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.04029.

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

pith.paper-citation-record.v1
2412.04029 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:52:52.403874Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52f1fc20-6beb-45a6-9f9c-fc2f7eab19b3 · outbound

This paper cites The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.321631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f0954e-7294-4976-949f-fcf536852d1e · outbound

This paper cites Building Guardrails for Large Language Models.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Building Guardrails for Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.338575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63609dee-98d4-45ca-9d83-ddfc6ba5c908 · outbound

This paper cites Mohamed Fazil Mohamed Firdhous, Walid Elbreiki, Ibrahim Abdullahi, BH S udantha, and Rahmat Budiarto.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Mohamed Fazil Mohamed Firdhous, Walid Elbreiki, Ibrahim Abdullahi, BH S udantha, and Rahmat Budiarto

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:52.761396Z

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 a5a22a67-860c-4b83-b5e8-6c5584b4a5c2 · outbound

This paper cites A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.354996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48271625-f4a1-46de-b120-70adfb60f5c1 · outbound

This paper cites Wade L Huntley.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Wade L Huntley

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:52.742459Z

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 b79ab4e5-de93-489f-b660-2872ed0f3ae3 · outbound

This paper cites Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T21:52:52.596574Z

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 37d7100c-da0f-47f2-8abd-150d933d17e0 · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.384850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1012da-2ca0-4529-b662-667933431b50 · outbound

This paper cites Bruce Schneier.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Bruce Schneier

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:52.727762Z

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 e7b63c76-bf83-4836-8023-6c5a3cdcfce3 · outbound

This paper cites Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.393831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253595de-f810-40d6-8f4c-f2f9f0e8e44a · outbound

This paper cites Structured access: an emerging paradigm for safe AI deployment.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Structured access: an emerging paradigm for safe AI deployment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.399301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7864d5c-66a3-4aa5-a420-239ee9d938bb · outbound

This paper cites HanXiang Xu, ShenAo Wang, Ningke Li, Yanjie Zhao, Kai Chen, Kailong Wang, Yang Liu, Ting Yu, and HaoYu Wang.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence HanXiang Xu, ShenAo Wang, Ningke Li, Yanjie Zhao, Kai Chen, Kailong Wang, Yang Liu, Ting Yu, and HaoYu Wang

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.403874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7cb93d-5cfa-4aea-85e1-cb8b85c4bab5 · outbound

This paper cites On the Consideration of AI Openness: Can Good Intent Be Abused?.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence On the Consideration of AI Openness: Can Good Intent Be Abused?

Reference 2013

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T21:52:52.623471Z

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 cfe0cfd5-50d5-429c-8b03-e2f5b48ccd45 · outbound

This paper cites Black-box access is insuﬃcient for rigorous AI audits.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Black-box access is insuﬃcient for rigorous AI audits

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:52.793714Z

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 8d88ca4f-aa74-4571-ad7e-01f387ae5ffc · outbound

This paper cites Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.349346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225fe582-c29c-48e6-8900-f0116e771638 · outbound

This paper cites The GPT Dilemma: Foundation Models and the Shadow of Dual-Use.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence The GPT Dilemma: Foundation Models and the Shadow of Dual-Use

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.360427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c54323-b0fa-4a7e-8cb0-3c0de7f368dc · outbound

This paper cites Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:52.380390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b793da-7521-45c9-b1b4-e7e7a785cf7a · outbound

This paper cites An ai race for strategic advantage: rhetoric and ris ks.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence An ai race for strategic advantage: rhetoric and ris ks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:52.778209Z

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

No inbound Pith citation observations are available.