Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.17336.

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

pith.paper-citation-record.v1
2403.17336 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:29.390915Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective cites this paper.

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=sha256:24cc0b711123fc35779ecb0c4adeeccfd9f7a953d99cec31dc19248f03e0a845

Observation 030cfff3-074c-4bab-a16d-1ef9d471dd33 · inbound

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting cites this paper.

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.164615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:55.164615Z digest=sha256:e4d6bd9e251e4c5ef3b45560bec7b5666681be5b200ecc20d097440ca73d5334

Observation 059ddbfa-d110-4a22-be44-c8fe724cc05b · inbound

Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models cites this paper.

Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T10:32:28.420193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:32:28.420193Z digest=sha256:5300ba58a7b349fff2588eb0643bace981d8eea2d7b03127f6efcea9676e43f6

Observation 10dacf47-59a6-453e-929f-9e242db97b28 · inbound

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector cites this paper.

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:18:54.641017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:18:54.641017Z digest=sha256:841cea34c4a9129c46825918e652a570dfe92937781095fa963951244393ec82

Observation 52f07ae2-6466-4927-92f7-1b219248bd14 · inbound

Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation cites this paper.

Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T18:31:14.095655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:31:14.095655Z digest=sha256:29a87ee5be69855cca6348e11bbad26e0811feb7da890df92d7da63be2ed7019

Observation 3a95f555-62dc-410a-a983-8c5710fda03a · inbound

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs cites this paper.

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T17:58:57.376374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:58:57.376374Z digest=sha256:d5fd95d3f98d34bc9e53711652d96650c98b4c425b38a6b20b4fee4576df31ae

Observation 4cb2e071-80e6-4698-a207-d308253a6951 · inbound

The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models cites this paper.

The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:29.390915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:29.390915Z digest=sha256:d9723afd942de30d33e90f5592d87d530d603a066a44efe5006e6d8c1add9e7c

Observation dd31bf90-2ece-4b14-b6bb-cf33b411627b · inbound

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion cites this paper.

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:13.951926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:13.951926Z digest=sha256:b37c4b080e317d03a1a8becd37639fca1f4b6197a3e91c5769575f66701e1121

Observation 1d91adde-3ac8-4cea-9a5b-0dd0e7258cba · inbound

Privacy and Security Threat for OpenAI GPTs cites this paper.

Privacy and Security Threat for OpenAI GPTs Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:53.691095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:53.691095Z digest=sha256:8b26090eb02a8e3a2fe1ee678fbd9629716220f2e405751ed6dc7a79146f3436

Observation b14625b6-8bce-4ea8-a972-2cfa29434d39 · inbound

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages cites this paper.

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:39.370338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:39.370338Z digest=sha256:dcb35d03b257bcd9b50ae45d98c442dbb1269d6b77cbd7b5fffeb4a02e95d462

Observation f9221f2d-a6ed-466d-b91c-99086eca6f70 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:52.621598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:52.621598Z digest=sha256:781b4a845e7c60784f9fdf411894c9ac65bb99efab3dea7918036c9a5bf0c35a

Observation c7c025be-ad8a-434b-ab31-d3acc0e091cb · inbound

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs cites this paper.

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T16:25:35.760832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:25:35.760832Z digest=sha256:b46453ad909afa3032d32653f9313fd612d6139fdb7066f94c24b8bbf5bfbd86

Observation 45c8d090-ad95-4678-bd09-ac656e721543 · inbound

TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense cites this paper.

TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:50.870841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T18:26:19.922383Z digest=sha256:570139d584c425fcc30f7cf04a78c3bd5f581fbfe4e60b152014f90edba56f70

Observation 7bdcea2c-a1c3-4427-b6cb-6721a40118b2 · inbound

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems cites this paper.

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-09T04:55:11.193993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T06:44:14.093749Z digest=sha256:9392d8e1fa8d2d3aebbcdc77c9ac9239378e8d0b24c62c2211ba300ddfd0fb6f

Observation c26050cc-5ab3-446a-a03b-201ce0e19e9b · inbound

Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution cites this paper.

Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.432158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T01:54:22.921939Z digest=sha256:67fe64e13f2887288f99240da10b5d96ae575432b642b2c806f633c76a08be70

Observation a20747fc-6c91-48a5-b3a1-1c2eff8f816e · inbound

It's Not What You Say, It's How You Say It: Evaluating LLM Responses to Expressions of Belief cites this paper.

It's Not What You Say, It's How You Say It: Evaluating LLM Responses to Expressions of Belief Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.063678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.063678Z digest=sha256:f1fd818f12276f2d69d53ef41348094f502685633218e0e7b9c5d2ff838a86a4