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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.290934Z digest=sha256:e04611590ea6a20fe63a8380760e7ce19151e1e9b93251843ac4ffd32d1863b6

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:a710c6c668e2010a0dc4a4a6e2f5293182299ce460b5d2b687fd52cd2467f584

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=sha256:10138189892cadb5c7fe81956490a0fddeb87b2e1bd29d4c60610846c5ccc999

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T12:56:34.303034Z digest=sha256:8b74b96b88b35214a1a71fed90447abc18077f402092c438bd3cf09dd0a719c9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.307063Z digest=sha256:2cd8776e14f606e7ba1046f4f621b8d55c8447830f1731f4a2cc2537344749ba

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.311163Z digest=sha256:889f9a30e78cd019187256780924a23c7ad0a49771b11c8ccf83fe7753e3fd6c

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.315567Z digest=sha256:33a8cb93841abbeedf2fd4f3c26be6fde9e705b31b4e14e346448701e7ecf81b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.319291Z digest=sha256:af7d6159ed5928a55e7825cd2188bc7e8d7b58b217c5766f06f1af4284580561

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.323312Z digest=sha256:22aecedf43a9fbc3a2e0ae7cc693e327ac1e24a345241a12a7c30f3489e87261

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=sha256:201347af7ac94ba1f8b9bff00af9e5f2d7a2a9ec2d563940cc33df7d8c29746b

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=sha256:3c15fa3f82a08217b3e5bdcc3eb2e9bbc9e2904c446e661217cd6799f8b78e08

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:d9a2905bb7b753cde9bd5fee5b1b207a457380d0933170d4e88d31d2be5e59e0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.339189Z digest=sha256:2e944efb6a5dea39a1b40f377519c83654aa6e631ba0ebd87888e4fda2b50c85

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:a714b5f2b7e8f6ba6781f01ff9f4a9050ee2f7dd05c72bf4bacb69d893e731fd

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=sha256:186e35ad9f41e052a77dd4070e1eb239ac9ea9b74925d9b8d166d346d63870e8

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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no resolver link, observed 2026-08-12T12:56:34.350058Z

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source=arxiv_source observed=2026-08-12T12:56:34.350058Z digest=sha256:70ed87dec84b6d022445847ab86d089ab2be9895e84d22b9bbd7d7728841a897

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T12:56:34.353697Z digest=sha256:4661e8f63ca7f88bb640e00ada84555a5ec00d882c7187204ee5fe22af53540b

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:a3da7291e03b34de60dfcb251119d72a9a7bf0a0fe31719c3a7394847eedff9c

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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no resolver link, observed 2026-08-12T12:56:34.361287Z

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source=arxiv_source observed=2026-08-12T12:56:34.361287Z digest=sha256:9f38a301dc17e3eef415b41540a1ffbae438c61aa39312675cbeb45c6e8653ed

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.364950Z digest=sha256:64075093b3529e562708a81342598a3f55b8764bfa28f22276a8f24730afa7e7

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=sha256:078fe151a736eb68f194374e52ba72a392d3aea5e79dc755e86bfede41a56423

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=sha256:14eaeb6946473482a18ab781f618780178cc0598a9234ab1e3f37a152717e60a

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=sha256:34d5752c144c4287b6de8048ca45bdd1008a042ec083dd81956dc03bec003842

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.378197Z digest=sha256:9fa60e4c70a43adb831404db9847818eeeb60c89f8c9810206b38e1cc360e99c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.381629Z digest=sha256:9721ec95d0aebaeafc2f78236dcfc239602dce405a851abc074be7b44f53c715

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.385271Z digest=sha256:19cbbc4e5f2d3d05d6c7a84c519b8d85f43f15fa2f0821fc1e9008c14ed8bb30

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.388685Z digest=sha256:76ced3ec4b2c5af851bdbfd5072a05391499baca5be55d84f8b715533efb8d33

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.392269Z digest=sha256:e8138db3f44cf04994068bbd120d39271cb5ef3384048eddc63738c00258ad37

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:b5b3f368bd55d4e941f3e1d0918f26262cf506d9efe4e97984cd394fba1fd30d

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=sha256:19db0c3fff768508d99d272836198cc1448125d2b0a7b4cf2e1655fc348ba816

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.403118Z digest=sha256:644d3a3e55cec7713d9c58bda91753c0d43649543648febc4e7283602661be0e

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=sha256:026ed8aad54dbed066f07f757810e797fe08b25bdf0b60c213ccee1e0b10d63f

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=sha256:0c0c41b90c03ac910ad2e568b74976b43586346404689702fba9b12ca9c276dc

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.413670Z digest=sha256:230983cf3708075843a1938d02f02abb6eb285b6e74056cabaccec63451e88b9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.418519Z digest=sha256:6c03087aa93b150cdf27531f49b28c5e7882fae1085a43b03dda442475400141

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:f890d713f92d3a057d10823512a5b3a9fd0033e10fec4c4f0668d73a7370e922

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:bcf2b6657f54a4cf8cee6f7758cb9f9448584683a9515bc60a7831bce02453a2

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=sha256:31f415f371e69c52fbcf361f4bef10de98aeb7e4dce5bfa5901efeece0445c0b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.433173Z digest=sha256:2401de6b8f86434272641dad2c0eacf27d8a86af5dce55d74dd6f429af7823f4

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=sha256:5ad800e21b2415612075e19e9dbf5bf4616b4ddf9fc3230ab5176ac641a5b26f

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=sha256:614c7b2f352c142b4fe80eff04ed48cf7ab76054fb5378a5914cf01e32770cc5

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=sha256:4af1695e7fc0673e462833b43a23ea1da1d0d04fd503d3f57081025f18a74872

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:c40d4de3003a2cd60eed103934a0263651d21a97b4bce5de0f04579511e9655c

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=sha256:3b11ba16f5a2f7c8024155dd1f2b0ea39dd4134dd874274a90eef71a44e1d5cb

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:cc12c278863c9b1f387c5037a233e7a0e38e790d7d86e096225c6a8331e0f4c3

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=sha256:07a0706b6a693a34a663cba345dd0d2b19191e09700e971627783323930f0c70

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=sha256:59a3f3fcad95fbe93eeaedb2bc226b13c66f782c92d7b46838ac569581255855

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:e1c0652eff355ba0f05ce7cb1de151c5c1e231751550bba555201aa5af547700

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:b2134e00b8a63c8996703482f0c28040ad93018b980a0558c7739a29184e8309

Pith citing papers

No inbound Pith citation observations are available.