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Paper Citation Record · LEDGER

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.16642.

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

pith.paper-citation-record.v1
2411.16642 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:56:34.469917Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e98c5390-899e-413d-8b82-a6eaa3e64b90 · outbound

This paper cites Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

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source=arxiv_source observed=2026-08-12T12:56:34.290934Z digest=sha256:343203b411f2feb3cb38f9c649a657d7659a98261313fd77409e8a4f13911da7

Observation d2447f0e-4212-498c-8d80-1784255e054c · outbound

This paper cites GPT-4 Technical Report.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-12T12:56:34.295258Z digest=sha256:81a272d2c36424ff340867862da2390ae0917dfee886aecca8765034a9f93509

Observation 49b9a9b9-f79b-4403-bc62-82afae082274 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 3

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no resolver link, observed 2026-08-12T12:56:34.299274Z

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source=arxiv_source observed=2026-08-12T12:56:34.299274Z digest=sha256:167b9cec19bd17586b07ad7811b0cb84b11c1dd44c43f2268d95b2d7680c3740

Observation 58bb5456-62ae-4b90-a6dc-de5594dec3f7 · outbound

This paper cites Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Reference 4

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no resolver link, observed 2026-08-12T12:56:34.303034Z

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source=arxiv_source observed=2026-08-12T12:56:34.303034Z digest=sha256:0926ce3b1b51c586ede9837cc80a5ce98307f0e3bb42f9c553521660efc5cde1

Observation 15a6dbab-92a4-48b2-b325-2b739640f72a · outbound

This paper cites Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 5

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no resolver link, observed 2026-08-12T12:56:34.307063Z

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source=arxiv_source observed=2026-08-12T12:56:34.307063Z digest=sha256:d14bbcda99b2eded34b4a0666ac94855536dcd4053480330a07b6847948acc81

Observation f65ba227-aa0f-4ca7-b1fc-56cf4f89d922 · outbound

This paper cites Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:56:34.939104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.311163Z digest=sha256:7f748eafc4ccc46afcede895652b1455d9a99725581f391a0d098a00cff05023

Observation d6f7d7e3-797d-42a4-a8b2-7551c2389e9c · outbound

This paper cites Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks

Reference 7

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no resolver link, observed 2026-08-12T12:56:34.315567Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T12:56:34.315567Z digest=sha256:3a3dd1985422e42ebca586d0eb59e992da9dbafcdb824a989c57b7324a05a505

Observation 408d72a8-6bdc-47d9-9841-c597b14ee4c4 · outbound

This paper cites Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Attack Prompt Generation for Red Teaming and Defending Large Language Models

Reference 8

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no resolver link, observed 2026-08-12T12:56:34.319291Z

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source=arxiv_source observed=2026-08-12T12:56:34.319291Z digest=sha256:a9d92ae0633c84e1977f5a10d378bdab17116b83fb33952772d4424d5da47216

Observation 3c57c9ba-6fe9-4931-97b2-b723cad45443 · outbound

This paper cites MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Reference 9

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source=arxiv_source observed=2026-08-12T12:56:34.323312Z digest=sha256:4161f8be6b19bae7ffc42cae0d421f37b360a3806dd70b8a5b5f95c7741e5b45

Observation 1074104e-45eb-4143-a693-b0184be1a2a7 · outbound

This paper cites COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Reference 10

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source=arxiv_source observed=2026-08-12T12:56:34.327155Z digest=sha256:e346b4e5992fb7432b2878a9fdee10c11309f221101df5ada99849ef795bcbe5

Observation 67d036c6-9ff6-4de9-87ee-2658e44141b5 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T12:56:34.331374Z digest=sha256:e8ce1ad6d564889386a79c782d5c7facbe0f6a25984a96f1250e6f69fb2cac14

Observation 3d408e4a-5971-47b1-bf66-79d9dc038cb6 · outbound

This paper cites Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings

Reference 12

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no resolver link, observed 2026-08-12T12:56:34.335011Z

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source=arxiv_source observed=2026-08-12T12:56:34.335011Z digest=sha256:132b3f6d35fa0e42933d3d4f3e95102abcf713b8818ffb0abc594b35c8099a7b

Observation 284fb806-be0c-4aa1-8601-8e65a687355b · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 13

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no resolver link, observed 2026-08-12T12:56:34.339189Z

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source=arxiv_source observed=2026-08-12T12:56:34.339189Z digest=sha256:ad5466c5f2b0ca79c33fff2aa8e878c195110c0a6b88f2e87d17ccef4b892dd7

Observation 65e55d71-05cf-49a6-8fa6-2c1566ee4a69 · outbound

This paper cites Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement

Reference 14

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no resolver link, observed 2026-08-12T12:56:34.342791Z

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source=arxiv_source observed=2026-08-12T12:56:34.342791Z digest=sha256:9a36fe74171f55e581a91e915c67dd1a1d5208c0049c2788ac912e46257515e0

Observation 47946434-8f83-43f4-be03-9dabb35ab569 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-12T12:56:34.346716Z

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source=arxiv_source observed=2026-08-12T12:56:34.346716Z digest=sha256:a4020a02d740fe5d213848607f684d606091911c82bc6241d9097f10700b77a7

Observation b18e5a34-b60d-4206-8ed2-1f425e7d0948 · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 16

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source=arxiv_source observed=2026-08-12T12:56:34.350058Z digest=sha256:f315fc2ea42623beea1ce7fa00c26b951984cbf11f885e0050f8eaefe05f2aaa

Observation 3fbafe84-8082-47b3-8d47-fd9ef341edcd · outbound

This paper cites DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 17

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no resolver link, observed 2026-08-12T12:56:34.353697Z

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source=arxiv_source observed=2026-08-12T12:56:34.353697Z digest=sha256:4e211d2970c44e14234d17822a1fb2531fd098a50ac3c4d148fd00d651b7729c

Observation ab6b9c2f-aa1d-4363-aa7d-9d7eddbee3a9 · outbound

This paper cites Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment

Reference 18

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no resolver link, observed 2026-08-12T12:56:34.357341Z

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source=arxiv_source observed=2026-08-12T12:56:34.357341Z digest=sha256:caf21a8d9f2df2fd227d9003670838cd6d9211d7b5777afeac99aec501f26dad

Observation 50432837-a136-4423-81b9-7a9054336ea2 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-12T12:56:34.361287Z digest=sha256:c1b45c56591b308ccc3cac4e293883afbe068ad8d174e6bb1abb942a778d7069

Observation f6a0c90a-cc14-4fdc-add5-7b7e623490c2 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-12T12:56:35.062543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.364950Z digest=sha256:5077bf48f2c789a35e27eeb03fd72b90e4ba39a5a6d3d5316a5a97e1b8d8e787

Observation 8a879aa1-88c5-4ac7-b6e9-658548f01a5a · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 21

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source=arxiv_source observed=2026-08-12T12:56:34.368424Z digest=sha256:eadd357a1151673f1acc960bfa1511a2c5aa7147a233efa2fe9631bcc0ffe6c8

Observation 38714d37-1a47-4457-a083-421c074641ae · outbound

This paper cites AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens

Reference 22

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no resolver link, observed 2026-08-12T12:56:34.371621Z

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source=arxiv_source observed=2026-08-12T12:56:34.371621Z digest=sha256:c4ce4155d8c9d72fb05ac2da36fc48b489214195f46fe1d97a01b224e2947862

Observation 80832f94-1d39-4adf-a1bc-040ffecf9464 · outbound

This paper cites Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

Reference 23

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no resolver link, observed 2026-08-12T12:56:34.375037Z

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source=arxiv_source observed=2026-08-12T12:56:34.375037Z digest=sha256:7e87571d9361b82d9c91e9e858ecf9807312642d155171bd35379c7ace9672d8

Observation fbd17e9b-c4ef-44af-bbbe-84088a5a3313 · outbound

This paper cites JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Reference 24

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no resolver link, observed 2026-08-12T12:56:34.378197Z

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source=arxiv_source observed=2026-08-12T12:56:34.378197Z digest=sha256:ac26f62a5296d3b55f79d8537ec95bff456d876237882a15faf84faa4239afbd

Observation d465cfd4-afe9-4cf4-9fc1-73caf11ab14e · outbound

This paper cites Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 25

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source=arxiv_source observed=2026-08-12T12:56:34.381629Z digest=sha256:2859c0462108b31b4f18615dc6dca1befae4d6895cfa0a021869c8795b7157ad

Observation a0cc8d3e-bde7-4868-9582-872253eb5748 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-12T12:56:35.051215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.385271Z digest=sha256:e1072a1dc4d4a16416f7c5c570878a74c3793ce07c4c9aba7bfda48f4cdd63db

Observation 1d5fbf9b-8759-4227-b413-d46ead61fbb0 · outbound

This paper cites Jailbreaking and Mitigation of Vulnerabilities in Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking and Mitigation of Vulnerabilities in Large Language Models

Reference 27

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no resolver link, observed 2026-08-12T12:56:34.388685Z

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source=arxiv_source observed=2026-08-12T12:56:34.388685Z digest=sha256:30697fcfbd3f33f79b77e852d24d098aaa202f7d0d051aff2701bc4af4290a4d

Observation 5b9c9257-3900-4cec-af19-fab08cb75489 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-12T12:56:35.040037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.392269Z digest=sha256:b95cee05cdf1a1f4d116bfbb2fb9074a8140ed7b6781f910e229664daae522fc

Observation 06494047-73c2-4239-8cf0-5be002ca1417 · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 29

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no resolver link, observed 2026-08-12T12:56:34.395775Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.395775Z digest=sha256:33dd6e9609d917070a9db4ba0731cad76d6b4c6f6b4441c8df85c9785eb4197a

Observation f6a1dae7-928a-425f-90de-f8969432252a · outbound

This paper cites SPML: A DSL for Defending Language Models Against Prompt Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective SPML: A DSL for Defending Language Models Against Prompt Attacks

Reference 30

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no resolver link, observed 2026-08-12T12:56:34.399480Z

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source=arxiv_source observed=2026-08-12T12:56:34.399480Z digest=sha256:cf108164138e2792e882dfb7354ec2203a76ef3c21520999516ffcdb3a06a1cf

Observation e614dfc7-feb3-4d56-b2b3-1fc5bc4e1115 · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 31

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no resolver link, observed 2026-08-12T12:56:34.403118Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.403118Z digest=sha256:0b26cc67229ea1cc62185fa938d39d86899d82afa5dca693cb2472af064e8387

Observation d257de41-47d1-4880-8d59-30a34f52a0b9 · outbound

This paper cites AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation

Reference 32

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no resolver link, observed 2026-08-12T12:56:34.406750Z

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source=arxiv_source observed=2026-08-12T12:56:34.406750Z digest=sha256:003fe0760edc0d7acdaa1e28a81927e90c1346f2657cec44e9ebb24ecd76a1ac

Observation 3d7ab192-b143-4ada-9849-43c0bfd7c009 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-12T12:56:34.410450Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.410450Z digest=sha256:6b3a8ab8782206bdbd6551d480a40e0a9c774e0fb1f06d8ebe875b00502bdc90

Observation c628ec6d-4b6e-4b2d-821f-4fe4f4b1549c · outbound

This paper cites GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis

Reference 34

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no resolver link, observed 2026-08-12T12:56:34.413670Z

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source=arxiv_source observed=2026-08-12T12:56:34.413670Z digest=sha256:61a05e29da8ae11871338e4584e4409d81331afae36e2f9c80c46584d6a3de5d

Observation f25ca68d-16dc-4a65-ae2b-fc333c661d60 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-12T12:56:34.418519Z

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source=arxiv_source observed=2026-08-12T12:56:34.418519Z digest=sha256:ee3036659adae61d620d23a07c26e27725081d872c26e693bc6d98d0d98050fe

Observation c075dd43-a433-4417-b3cf-4777feca7a05 · outbound

This paper cites Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks

Reference 36

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no resolver link, observed 2026-08-12T12:56:34.422868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.422868Z digest=sha256:2961f7acffb8e1529cf2f570886053fd8aa2f535ef00615f62877631bc4bcf6c

Observation 51ee9d0d-8481-459f-80b0-9f84a816c713 · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.426125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.426125Z digest=sha256:29370853444a102f4b573ac56bb07fc35b3855d006aab3545158d497988292ce

Observation 3b0cf8ee-c4b5-4fac-a3d5-ad6b55ad6f16 · outbound

This paper cites Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.429581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.429581Z digest=sha256:cf5b9a9e7d38ab878ec107d3a0797affc8018392ef2491668c43a4dc152e1dda

Observation bc31f1b7-2513-4c06-825f-385220a7b589 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:56:35.015942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.433173Z digest=sha256:8ee4276f49c2f9dff8f958daf42acf4307e45a97541605ae8d41498f1719189f

Observation 3ff11792-086c-4f89-ac02-d8e4b3463c23 · outbound

This paper cites A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.436610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.436610Z digest=sha256:3d70135a082fd6f96357a0a0c6372ca6271de8528a96a1439d8893fbe223ba15

Observation efcf82a0-65d8-461f-862b-631fde1ca5a2 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.440390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.440390Z digest=sha256:fadae645842d67818ab5c8d288d1d7557595f1b485989bc88c03cc9ca680ce31

Observation c3b568ca-b80e-445a-a1d4-714cfde7fb99 · outbound

This paper cites Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.444010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.444010Z digest=sha256:1da1c6a552a246c847d8bd9866fd2dcbb84b56b39cb74fa7fd41c5d67f972a22

Observation a0d05ba6-b761-453e-b545-d5a28031f29f · outbound

This paper cites AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.447996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.447996Z digest=sha256:77d85cbe8bf3e0fe1331d8a93ed20793bb0f06a03d2684df30dc14c911d8d55c

Observation d01c5789-59dc-4e05-856c-23848654be2c · outbound

This paper cites When LLMs Meet Cybersecurity: A Systematic Literature Review.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.451492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.451492Z digest=sha256:01839f1a31b8b2403cb188f8b6472a1af6f613c0c8d5145230d446704e101689

Observation c7477a0e-bf80-406d-b782-ed0162bd6fee · outbound

This paper cites WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.454996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.454996Z digest=sha256:9cb3f7b511c08da0d46536e90cc603fef71844b18d53102ba4a6be67cb59abcb

Observation 2d0b28b8-be7b-4318-871a-3bb55c5f972a · outbound

This paper cites EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.458777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.458777Z digest=sha256:d1194fd2036dd86b5056b20b2656c283e53cbd7d1c0145377e2339892db5be43

Observation f81234ec-f8fd-4741-81fa-e33964aa0016 · outbound

This paper cites Is the System Message Really Important to Jailbreaks in Large Language Models?.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Is the System Message Really Important to Jailbreaks in Large Language Models?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.462384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.462384Z digest=sha256:117c9ad3ce48790135bb2e266d1444802931ebea6d3352f9a01f52c2d08f642e

Observation 8b1a979d-a99f-4105-9f78-bc9f85690d09 · outbound

This paper cites online" 'onlinestring :=.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective online" 'onlinestring :=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.465844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.465844Z digest=sha256:c0411cb0aad00a99aa33a67c1cc2460c81a596e458577987797211b65bc049c9

Observation 5d4d53ae-709e-4605-b19f-31cc668d1d07 · outbound

This paper cites write newline.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective write newline

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.469917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.469917Z digest=sha256:be489dc74723b8a5f74d00787141bd53a2fc685225b2d87a67d159528fbce06e

Pith citing papers

No inbound Pith citation observations are available.