Paper Citation Record · LEDGER

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

As of 4 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 72 inbound Pith citation observations for arXiv:2404.01318.

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

pith.paper-citation-record.v1
2404.01318 v5

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T06:08:05.386345Z

measured 136 of 136 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 72 of 72 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:28:36.924563Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

64 of 64 outbound references displayed

verified exact35
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f52f41d0-e120-43c0-9c46-915c932a32de · outbound

This paper cites Get my drift? Catching LLM Task Drift with Activation Deltas.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Get my drift? Catching LLM Task Drift with Activation Deltas

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.444361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb1a5952-78e4-43b9-9b13-f69f8f2895d1 · outbound

This paper cites Llama 3 model card.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Llama 3 model card

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.685711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee1558a9-17a5-4cf4-b065-2372b912e852 · outbound

This paper cites Croissant: A metadata format for ml-ready datasets.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Croissant: A metadata format for ml-ready datasets

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.438566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94d4132a-2e54-4831-b5a4-1a3ff306350c · outbound

This paper cites Jailbreak chat.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbreak chat

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.726947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d81435c3-e78d-408d-8c71-d1a8023331eb · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Detecting Language Model Attacks with Perplexity

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:02:27.073914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b4695f0-3376-423e-ae6d-b5f91e084b40 · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.456157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bf1517d-d7fa-42a2-885c-0c52dff62180 · outbound

This paper cites Refusal in llms is mediated by a single direction.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Refusal in llms is mediated by a single direction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.663847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1a78591-99a7-4ff0-b1ad-6a855965ff3b · outbound

This paper cites Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.667623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 417ae944-6027-4753-b94c-3d629d48b954 · outbound

This paper cites Non-determinism in gpt-4 is caused by sparse moe.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Non-determinism in gpt-4 is caused by sparse moe

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.671523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da0555d9-a6eb-406c-a06b-f113cc3ac3ff · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.570098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7beb1d43-7e0f-4423-9e8f-cbfbe07a1595 · outbound

This paper cites Robustbench: a standardized adversarial robustness benchmark.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Robustbench: a standardized adversarial robustness benchmark

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.679134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bde5b79-fc98-4f7d-bd61-96df390e823c · outbound

This paper cites Multilingual Jailbreak Challenges in Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Multilingual Jailbreak Challenges in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.575886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dcd6d2d5-77a7-4685-a090-86134a0fa128 · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Attacking Large Language Models with Projected Gradient Descent

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.581194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40a44745-888d-4f5e-8e58-53bfc3307b1c · outbound

This paper cites Gemini v1.5 report.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Gemini v1.5 report

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.688548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d40c8bc-92e7-45af-9a9b-13b4450f0166 · outbound

This paper cites Query-Based Adversarial Prompt Generation.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Query-Based Adversarial Prompt Generation

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.586412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c80d48f4-6846-45c8-be08-ffe06c6a00fc · outbound

This paper cites Measuring massive multitask language understanding.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Measuring massive multitask language understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.694129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 451e27d6-fd76-4838-a4d0-ac044ccecea1 · outbound

This paper cites Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:00:51.596826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14eda907-262d-4a5e-9978-ccab91d7815c · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.597327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b032a506-52d4-41cf-8c2f-027640a9e8d0 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.602244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7788ce21-f353-4643-aa33-3dfeb7d0fc56 · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.607273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 658d527c-31f9-449c-a5a1-f82f5704d7a6 · outbound

This paper cites Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.612858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31ddbe07-947e-412c-b49b-1f4779586d60 · outbound

This paper cites Mixtral of Experts.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Mixtral of Experts

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.617244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a44d343e-a3e5-4c9b-ab65-b7f13694d76f · outbound

This paper cites Guard: Role-playing to gener- ate natural-language jailbreakings to test guide- line adherence of large language models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Guard: Role-playing to gener- ate natural-language jailbreakings to test guide- line adherence of large language models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.622523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33ea019e-6694-4774-9866-fa52758af9d8 · outbound

This paper cites Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.627014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16e16c7d-57e5-4dd9-933b-72ca8b2c757f · outbound

This paper cites Certifying LLM Safety against Adversarial Prompting.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.632731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fb3e3ded-af34-448d-8780-349c26f73a04 · outbound

This paper cites Open Sesame! Universal Black Box Jailbreaking of Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.637785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31495855-5314-410c-8106-de760bbcf6a0 · outbound

This paper cites No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.642615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0d6b3d9-7464-4d49-b2f3-9795af098f09 · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T06:08:05.648088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b118c386-e631-48ca-8459-6e07acba552c · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.653882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a6c4c2c-2e2e-4cb7-b988-2080a4f31622 · outbound

This paper cites Meta llama guard 2.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Meta llama guard 2

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.691379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45f7aa29-0ab2-4c31-9a8d-31433899d91b · outbound

This paper cites A Safe Harbor for AI Evaluation and Red Teaming.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models A Safe Harbor for AI Evaluation and Red Teaming

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.659825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bfff335-1225-4dce-97eb-3a26d5ea0ddf · outbound

This paper cites Tdc 2023 (llm edition): The trojan detection challenge.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Tdc 2023 (llm edition): The trojan detection challenge

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.701347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c79fc6c-f265-4f5d-b91e-c3e8048bca3a · outbound

This paper cites Harmbench: A standardized evaluation framework for automated red teaming and robust refusal.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Harmbench: A standardized evaluation framework for automated red teaming and robust refusal

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.705246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bffd8101-d2d5-4ae8-9420-54b5c1f107ca · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.461377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a2126e21-474d-4b40-8e67-9f28780539d3 · outbound

This paper cites Jailbreaking chatgpt on release day.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbreaking chatgpt on release day

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.712531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5d217870-48bb-43e3-87be-b43a47a455b0 · outbound

This paper cites Gpt-4 technical report.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Gpt-4 technical report

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.715713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c58914f9-d266-4329-95f3-1ef7b40de8a6 · outbound

This paper cites Training language models to follow instructions with human feedback.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Training language models to follow instructions with human feedback

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.719739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3fc94b89-7722-488c-879c-72aaac5fb5a5 · outbound

This paper cites Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.466259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3929f72f-23df-4171-9470-f4b591b75320 · outbound

This paper cites Data cards: Purposeful and transparent dataset documentation for responsible AI.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Data cards: Purposeful and transparent dataset documentation for responsible AI

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.427622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b34c67f1-8831-4f45-8438-78bf9ed89230 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.730468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff2b8742-5521-43d0-98b1-c4b11784e2a7 · outbound

This paper cites Find the trojan: Universal backdoor detection in aligned llms.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Find the trojan: Universal backdoor detection in aligned llms

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.675608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b36fc692-d441-4a74-9449-ac3b1f0142f5 · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.470017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7237c79c-3056-4b6e-b8e6-30e9f9d775f7 · outbound

This paper cites XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:51:50.894684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc4002bc-dea2-4b34-b549-7dd66ece4c54 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.480000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 833ebf27-235d-4fa6-bc7f-aaa37c8388df · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T08:39:28.464962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation efeb32c0-20bc-4c05-ad0c-89ff25a44a81 · outbound

This paper cites PAL: Proxy-Guided Black-Box Attack on Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models PAL: Proxy-Guided Black-Box Attack on Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.491124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 284f8814-55c9-49f3-9e3c-8d83492214e7 · outbound

This paper cites A StrongREJECT for Empty Jailbreaks.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models A StrongREJECT for Empty Jailbreaks

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:28:03.016512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c84f9851-26ab-48ce-b16e-6f4d66ed3a5c · outbound

This paper cites rspeer/wordfreq: v3.0, September 2022.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models rspeer/wordfreq: v3.0, September 2022

Reference 48

Resolution: verified exact; doi, observed 2026-05-15T06:08:05.432681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8853d8da-4b81-4463-9835-b3e09969d32c · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models TrustLLM: Trustworthiness in Large Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:09.209714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2fd99d61-5f03-4179-af26-52f2835ae67c · outbound

This paper cites All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.506841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7055a67-eeeb-42a5-9f83-6ec12526dfe2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.512899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6b6c1ac-60f7-46fa-ac89-64db8add18bb · outbound

This paper cites On adaptive attacks to adversarial example defenses.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models On adaptive attacks to adversarial example defenses

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.682254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c0a376a6-5313-4c1c-af69-d16230f11a23 · outbound

This paper cites Decodingtrust: A comprehensive assessment of trustworthiness in gpt models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Decodingtrust: A comprehensive assessment of trustworthiness in gpt models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.697673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d156a89d-0465-4b93-ae09-3e03a56b44f5 · outbound

This paper cites Jailbroken: How Does LLM Safety Training Fail?.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Jailbroken: How Does LLM Safety Training Fail?

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.518550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f73f005-c433-44cb-baeb-4072e24ebefd · outbound

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

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.524282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0946d21-1906-4376-9f24-de60bb06111f · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Low-Resource Languages Jailbreak GPT-4

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:24:14.203470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96bcb434-7eec-4492-baa4-e5f9794dc5b8 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:25:21.318009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 68191e5e-ce2a-46cf-8c6a-d91f943006b8 · outbound

This paper cites How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.541412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd42278d-1978-49f0-81df-f7c053c8745c · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.546872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 173496f5-42e2-412e-8760-c37a1c4e3b2a · outbound

This paper cites Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.552383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d2f9c08-7a01-4d35-8d50-72dde00b0070 · outbound

This paper cites Easyjailbreak: A unified framework for jailbreaking large language models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Easyjailbreak: A unified framework for jailbreaking large language models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.723038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation acac4324-7306-4d43-9b7a-3ea2b6ec88c4 · outbound

This paper cites PromptBench: A Unified Library for Evaluation of Large Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models PromptBench: A Unified Library for Evaluation of Large Language Models

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.558387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e62f120-2cb0-422e-8411-1b95f80c2164 · outbound

This paper cites Randomness in neural network training: Characterizing the impact of tooling.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Randomness in neural network training: Characterizing the impact of tooling

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:08:05.708945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7149086c-43aa-441f-a801-7da49abfc2b1 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:08:05.564496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 736b4907-b5e0-4fca-90de-b86831e13603 · inbound

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

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef279a91-5b56-4443-9ddd-2b03cf6f69ec · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7615531-d699-43a3-87eb-d6eb25649be6 · inbound

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

Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T00:38:39.944388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15889308-8cd3-42ee-945f-63187997ca26 · inbound

Refusal in Language Models Is Mediated by a Single Direction cites this paper.

Refusal in Language Models Is Mediated by a Single Direction JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c452888b-062f-401a-a538-ab96428606af · inbound

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents cites this paper.

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ab867da-47a7-42ec-9042-3f5602e63487 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fff050ba-7da0-4e09-aaea-b532e5d65909 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2b82c4a-c28c-47cb-8cf8-5072e7649a91 · inbound

LLM-Safety Evaluations Lack Robustness cites this paper.

LLM-Safety Evaluations Lack Robustness JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T01:27:21.410326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21ba870e-7a51-4253-8388-64336df98c6b · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:37:15.968494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec31f092-06d9-452c-85e0-cb5a72982d5b · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:32:14.772620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 188b5b7c-8df4-4b34-afa0-46230752edd1 · inbound

Exploring the Secondary Risks of Large Language Models cites this paper.

Exploring the Secondary Risks of Large Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:42:14.017160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b18139b3-ea4d-47f2-b41a-9af74acd4a7f · inbound

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions cites this paper.

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T09:32:16.265856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c0e9a8e-ef58-4775-971c-215f29c4fbe4 · inbound

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking cites this paper.

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:01.127676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b543987c-e8c9-430d-aa1e-8975058769ab · inbound

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs cites this paper.

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T21:36:52.424978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c20169ec-ee12-4d83-bc0f-bf6649120d5b · inbound

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs cites this paper.

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-21T19:00:30.437810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a74452a-f481-454b-817a-f45949213cb0 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:17:36.584855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 95a0c614-b100-4c64-9f6d-785081bb9788 · inbound

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks cites this paper.

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T12:10:06.517424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 640ab874-88a9-4497-84cc-02a1e7f29afc · inbound

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI cites this paper.

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T10:21:23.284052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9656a927-5e86-4fc7-ae79-c0f9df2fe9cb · inbound

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints cites this paper.

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5913a7a5-0bfd-4539-8240-ae5dd5d2e9c3 · inbound

HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents? cites this paper.

HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents? JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45c4931a-d2f8-416b-9494-1290ce298a57 · inbound

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs cites this paper.

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3de037b8-8ca6-4efe-97c7-c810f9f109f6 · inbound

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing cites this paper.

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7aaa065d-ac00-4aef-93f9-4a67a2a32e69 · inbound

Cross-Lingual Jailbreak Detection via Semantic Codebooks cites this paper.

Cross-Lingual Jailbreak Detection via Semantic Codebooks JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a40f51c-ca41-46c5-94ae-218c4664c54a · inbound

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models cites this paper.

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12749912-0b75-439d-bd32-c1892a2bfcbc · inbound

ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming cites this paper.

ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2802f773-6c62-483d-a66e-9b88b83f1333 · inbound

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts cites this paper.

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 783c5c1d-617b-4136-89f5-e38ddec24337 · inbound

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring cites this paper.

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49bd45b7-5000-41f2-bcc6-aa51cf3ce9bb · inbound

Re-Triggering Safeguards within LLMs for Jailbreak Detection cites this paper.

Re-Triggering Safeguards within LLMs for Jailbreak Detection JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f3563fe-3be0-4759-952c-daa96002b875 · inbound

Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.

Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ed8836b-364b-4656-8bbe-c6e3b5b5a408 · inbound

Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance cites this paper.

Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7cb2d2f7-bc78-45f5-a7ae-87f5114946f0 · inbound

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study cites this paper.

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fb77849f-cbaa-45f3-9453-36e4b42bb3ec · inbound

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study cites this paper.

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T13:42:19.205489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c2311cd-0ea6-4e5a-a17e-6df56a8eb3e1 · inbound

The Great Pretender: A Stochasticity Problem in LLM Jailbreak cites this paper.

The Great Pretender: A Stochasticity Problem in LLM Jailbreak JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5612550d-065c-4012-b7c3-24a25892b71b · inbound

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications cites this paper.

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T23:32:52.506793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6cf384c0-cb63-46c8-9c44-198fee815f5b · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T09:41:22.319627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 324585d1-1310-4d6c-9531-4ff33678dd68 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T09:41:21.339259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40d4c4cf-b8b7-47ea-9721-90088215b7c9 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T17:34:58.051793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3fbea9c-17fd-4419-b0a4-15ad4358f958 · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-22T05:51:07.923143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ef608f6-771d-4bfd-a158-0b6d5f2e75ec · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:06:42.840186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c110e024-d0e0-4f0c-8d21-631bd3cb7966 · inbound

Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection cites this paper.

Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T16:35:50.615443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d61bd6e-857a-4946-8f94-16e1b8b53144 · inbound

KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language Models cites this paper.

KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:03:48.070188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab32cb81-8744-43b7-a190-90f5a0523053 · inbound

A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving cites this paper.

A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:47.837889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29bc340b-f5b5-44fe-8ab8-a844ececf74d · inbound

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content cites this paper.

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T09:13:15.969429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c316a4e2-ddb7-4865-a679-617e309600c7 · inbound

Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing cites this paper.

Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T23:56:23.247991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee365955-ebf4-4515-8c1c-e285444838a4 · inbound

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-02T04:16:34.640693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b284dd0d-abb8-44fd-adc5-57946ee1f585 · inbound

CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning cites this paper.

CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:06:55.607640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7430cfc7-f41d-4e28-aaf8-40807958bf57 · inbound

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective cites this paper.

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:57:23.064073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c8d847ec-ba2b-4617-b94d-5dd9a67b491d · inbound

Reliable to Expressive: A Curriculum for Rubric-Following Safety Judges cites this paper.

Reliable to Expressive: A Curriculum for Rubric-Following Safety Judges JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.706422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c61749f-eda5-4a08-b1d0-e7e61b64a4be · inbound

Distilling Safe LLM Systems via Soft Prompts for On Device Settings cites this paper.

Distilling Safe LLM Systems via Soft Prompts for On Device Settings JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:27:29.245408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0955196-fff3-4f3c-a973-95563ff3016b · inbound

Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation cites this paper.

Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:37:37.325544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76dbe284-4cdd-4ae6-a7fd-abc69ec21a1f · inbound

Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation cites this paper.

Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:24:38.481668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5787c4c-f09a-4619-9675-1039ec350766 · inbound

Efficient Safety Benchmarking via Item Response Theory cites this paper.

Efficient Safety Benchmarking via Item Response Theory JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:55:48.966799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 916a4ef1-cd9d-4d22-aec3-6f0c09160399 · inbound

The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs cites this paper.

The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:29:44.263208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f5ed0c7-8161-412a-b29a-7f02a07eb5d0 · inbound

The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs cites this paper.

The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T08:45:35.634487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7986c6ef-7d42-4ceb-899b-7ba5270bce65 · inbound

Evaluation Awareness Is Not One Capability: Evidence from Open Language Models cites this paper.

Evaluation Awareness Is Not One Capability: Evidence from Open Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:49:46.876444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31453625-cfef-4665-abb4-a595ae2d112f · inbound

AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability cites this paper.

AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:20:00.203412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dbe164c-dcb3-4dc0-a19b-d6b2b08ee59b · inbound

Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance Screen with a 48,072-Sample Expansion cites this paper.

Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance Screen with a 48,072-Sample Expansion JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:59:58.329124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eefec10a-7cff-4449-8acb-d748a88d039a · inbound

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics cites this paper.

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:40:01.027199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 956da625-3d1b-46f8-9889-c106bc14a44a · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 73

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:50:11.036006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de45d835-dd4d-4ddf-b57b-0a372331892f · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:44.151383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8859bbc8-cb8e-45f9-8901-ba12c9ba546c · inbound

Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation cites this paper.

Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T20:00:07.954777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c297ccef-4712-429e-af2c-4a61e2323bfa · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-26T04:38:59.217822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3cdde68-2d24-4748-bf6c-afa1be02e180 · inbound

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models cites this paper.

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 74

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T17:35:51.343340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c1cb776-4ad5-4eea-8540-b9b8a9aff192 · inbound

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models cites this paper.

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T09:34:34.456037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93086946-f4f6-4ea4-a56d-ff4cfe48017b · inbound

SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings cites this paper.

SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T07:04:20.785937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37b44ee2-1e89-4772-acbe-f46a9fbab962 · inbound

Safety Targeted Embedding Exploit via Refinement cites this paper.

Safety Targeted Embedding Exploit via Refinement JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T13:28:18.218798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a28375f0-62c5-4792-bed7-befb999eca03 · inbound

Minionese: Comprehensive Benchmark and Mechanistic Study of Multilingual LLM Safety cites this paper.

Minionese: Comprehensive Benchmark and Mechanistic Study of Multilingual LLM Safety JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T14:13:53.489886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d638b7-d589-47c4-8a9a-59d739ce9aec · inbound

The Entanglement Wall: Activation-Space Probes as Risk Detectors, Not Context Adjudicators cites this paper.

The Entanglement Wall: Activation-Space Probes as Risk Detectors, Not Context Adjudicators JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T07:09:30.130477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b430ccb1-6a13-4671-825e-1544dd768caa · inbound

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions cites this paper.

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T18:54:56.575779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c18020-6f22-44a6-b176-6967213a4c85 · inbound

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning cites this paper.

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T11:29:54.038302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01821a1-0262-4369-bc19-79bd1d0728e6 · inbound

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation cites this paper.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:28:36.924563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08ec257-4107-4c63-bc5b-6e3e968135b9 · inbound

ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents cites this paper.

ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T23:24:19.507389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.