Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:13.951926Z

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 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:f5aa65b8b569b3ca2199605b86d676f65ee928af955a83007369135f6068c71b

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:f9e5cef70392a66967e29bc4d9898621de1ccf428523d888e3133e6b39986cbc

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:cf1dd0b06277a77f54dc6a2fda47bca9a5af751397fa214b4103c2e2b4c8dad3

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=sha256:328b93cb01ea087b8ea838fea9a714f33a28de02fae4eb2eb887728eddcde4b1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T18:26:19.922383Z digest=sha256:d9352d6048e983c7b35984a830bb47ed74b52d105fb268e5edd4895c7ce9819e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T06:44:14.093749Z digest=sha256:8e3e26fbf323928b301bda59eb8b3aded15bac28a7d1b1a9ea57f453ca6357b5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:54:22.921939Z digest=sha256:3bd64f0e8a7ea62f6f29aea15bfae3125f5eb4aed6dac8320193c5b4482521b9

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:ef5634a4c6cc227752e9c2025f82e56dd16264d0110c1e7a4e9b4c0db96814d9