Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:203212f38883d0909270b7ac5e2d8b8ecb0c54c958468eb335b4da52f8106a63

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:fdc3fc1be40e821c9e4937abc1d7df90f7212eae9538959f60a8f14c1d9fc1c2

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=sha256:5d3d0ae40a7115b52cb1ce8f5f6950f48252e15a8111978ca3483407e624a654

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:ee8503af29c24249b7669db4ef13922e32207af0d91419f45b7c25ffd8151bd9

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:eeed6ca401591f7bee75c9e6f0fe86fc263e123e71c61bf5708b7064b63e83a2

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=sha256:108d6ceba4e854dc45bb67fab5f3a97704c9dcd7c3cc5b3566ca3ff283e22c9f

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=sha256:045c90e59e5a83f2e411606f5c5f7a0e81d42c2809b4f0932ef660a93e5ba303

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=sha256:381d6a92b0356d61da533471e2b0e7660d55c4079a3ce78949599306d7699b30

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=sha256:4e5b54c959a48d60cb12d5f5ed25c8cfc43fcecf931e1302ad07cf3d37e6de5c

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=sha256:12b75326ef9c3ed105a9ce9a13d20521a16bd660f491bf3b37a77d3bcd20953d

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=sha256:2349b9cd869e7be6e8571e67117f35ca504bd2e49004199a80c5db9d49f9808b

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:df2351a52eb234285150dd82a00696703a25d28738e0216eec16ce475c185c70

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T18:26:19.922383Z digest=sha256:bcf61ad51c1026f5cb07b3b59e9eeb55834220b0187bd9968a49fd61fd8baf87

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T06:44:14.093749Z digest=sha256:df46f5e9c135e02a8f418a17aebb577aa73b91425c62a87b66a7527948160cf4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T01:54:22.921939Z digest=sha256:6924395a0d3213ac1e1526f55e7eed78e44030356226d0366f9706276ecadf0c

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=sha256:4502afcfab17bae746f7a304dac94dbb7d141e7399ddabf6e62b72a4490e9a21