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Paper Citation Record · LEDGER

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2402.16717.

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

pith.paper-citation-record.v1
2402.16717 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:22:00.524554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.733302Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48e957ff-ad7e-4ac8-8ac7-6c362570389e · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 61

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verified exact
arxiv_id, observed 2026-05-15T02:20:44.770114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:743078bfa60cb0a65a5cbea369d94c4aca0cb3848abc3a00b1f8319396549c17

Observation 6ad69d10-7201-426b-9e20-a90fa9ecd089 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.818659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:86a9aaf064d7028609a0d963da0d6e9afdc23090bff69d256dfeea67748b094f

Observation 0471f4b8-458c-4256-81a0-ff339a0b1d2e · inbound

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs cites this paper.

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 25

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unresolved
no resolver link, observed 2026-08-09T04:22:00.524554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:22:00.524554Z digest=sha256:5a887ac50c7fdb5939367d2c6db28b09af76c60a7ebb2ba18aabcee56c74b5d9

Observation 1f6119c0-1d99-4d2a-98ad-af587fc43ac6 · inbound

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions cites this paper.

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T23:08:02.311644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:08:02.311644Z digest=sha256:402c21e6802b1ab7486d2fd1611cb5e5c44d2fbf86414cacad1bdb7aa132b5ee

Observation 3e2c2c1e-b689-485a-89c6-2fb4ce74efe6 · inbound

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language cites this paper.

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T20:46:15.916514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:46:15.916514Z digest=sha256:dfa15eb575dabea6cae232d2fc2844e7f455f1ee9fb38581f91ff5584ea2d3e2

Observation aad50d79-e0b8-4ba6-ba97-8ef440c7546a · inbound

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models cites this paper.

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:40.894389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:40.894389Z digest=sha256:37be1a7d2bf6895384fa2d5d21dd31f1353d3614c346064a79b50259a51e7faf

Observation bf238e03-c2f9-492c-ae66-27c1804f362a · inbound

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs cites this paper.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-07T14:48:17.350033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:17.350033Z digest=sha256:265fff6d01237c4a9aa4e4a8e2f3c45a2d888aad419504ebfc5bad2ec9a0fd62

Observation b091d066-6201-4946-a08c-2e603dcaceda · inbound

Should LLM Safety Be More Than Refusing Harmful Instructions? cites this paper.

Should LLM Safety Be More Than Refusing Harmful Instructions? CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-07T11:27:47.338065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:47.338065Z digest=sha256:fe828736c58e888f16e0531e9b7da17c68b640bf8239092da049b6709f133095

Observation f700f20c-b668-4c99-a7fc-334e65e65551 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:36.604717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:36.604717Z digest=sha256:6a1e2a7ade60f2229296f6d76c1e7cda56ade560ddd0abcdfba2dcc6f9bc9b13

Observation 61b14a6f-4de5-4f05-80b7-11ce224220c8 · inbound

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems cites this paper.

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:43.832596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:43.832596Z digest=sha256:325d9d3aaab0ae88779a15e2f93353ac072933dab5bd087bfd78000312e0d1a6

Observation 3dbded75-3cce-4949-a41f-f03d92c62a78 · inbound

PUZZLED: Jailbreaking LLMs through Word-Based Puzzles cites this paper.

PUZZLED: Jailbreaking LLMs through Word-Based Puzzles CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:39.041036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:39.041036Z digest=sha256:1ca21d52096673dab703624291357485d43bfad2644e084e5abcbe88d0c5bd81

Observation a2273fce-c95f-4282-9982-e055d93c3dde · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:25.584775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.584775Z digest=sha256:9ab5543c03061f8e1113c4f6be40b69cb8c013c9f0086ab3b6f74c95aca8222c

Observation 1601a94a-ff15-45b5-8dc0-679c32725b5a · inbound

Towards terahertz nanomechanics cites this paper.

Towards terahertz nanomechanics CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T01:03:51.315578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:03:51.315578Z digest=sha256:26e35f43669f4049b6552064f465bcfbb894aee796dcc143fc523448fcc4dc0e

Observation f49c3800-eb52-442e-bc2d-b4d04947b6d3 · inbound

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants cites this paper.

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T01:04:35.159503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:04:35.159503Z digest=sha256:64f0f68f3a6a33d051347563623d35d5d6935d5cf5d53df3de3f788d06174fbf

Observation 7ec4bc9c-2de1-4dc3-b8e1-8a9345ed3384 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:40.726264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:40.726264Z digest=sha256:59911fb13b0f102a79723e1de62814cbc361f13750525ca9aea776c86c0e5cfd

Observation 3be65861-45e2-4b57-94dc-e7ba9772a2a0 · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:51:41.906726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:cbc3c5c91ef08b204b0c94735a2f91fc8864e78b208de650e075feb375911dc5

Observation fdb0bf9d-6db4-404a-bdce-49d745054674 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:49.471194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:49.471194Z digest=sha256:49cdf4cbb75e4affc0daf6d822fd5583ac99d7870030ac017bfedc86690642b9

Observation 36e521a4-7449-4de3-8a42-928c19b234c5 · inbound

ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs cites this paper.

ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:55:38.008295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T01:54:22.995178Z digest=sha256:1dd4f018b9a7ae801287fdca599d9f7323696ea5434a01e18f7aa81a239a1d10

Observation 985d49bb-5099-4bfe-ba4e-e90fab9acbd3 · inbound

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models cites this paper.

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 18

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verified exact
arxiv_id, observed 2026-05-13T22:03:20.345361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T22:02:12.555644Z digest=sha256:376cbae9e512529251283f10c87fe71256101d664fb23d0be51df25d64b089f8

Observation 0a1c00d9-d3a6-49ef-a293-c0529fdb03bd · inbound

SALLIE: Safeguarding Against Latent Language & Image Exploits cites this paper.

SALLIE: Safeguarding Against Latent Language & Image Exploits CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-10T23:30:51.208437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:04:46.426969Z digest=sha256:8369697416967f086c0dc94e56883eaab68c8f34e6daaf9c55d1070a6b611ab2

Observation 833ef549-2caf-469b-9926-b08a46b77f69 · inbound

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion cites this paper.

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:04.208184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:2729f1233511a50c9e38a1e735dfaf4f56aa75f66efdc79419b29629be97da6a

Observation 9fd793c5-595d-4e2e-a9aa-9915207736a8 · inbound

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation cites this paper.

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 37

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verified exact
arxiv_id, observed 2026-05-11T19:31:09.485824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T11:45:21.608035Z digest=sha256:4bbf41aeb391d37a9db8542d305ae7da37c4468089ac0c53495b0883a78c8ae1

Observation 66fe95d5-2920-4227-8326-70a74d37a230 · inbound

RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry cites this paper.

RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 22

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verified exact
arxiv_id, observed 2026-06-30T00:34:05.282807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:33:35.235214Z digest=sha256:e855a348caae7b4f4306fd225eaa836521404fdf3a782578b75af8c619ee400b

Observation bcaf4be0-3cda-4643-b1a0-ac08385766b9 · inbound

SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling cites this paper.

SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:33.735238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:23:06.382761Z digest=sha256:b4ddc8a3e2e3c8bf3451128d7bcdbccf7c144fedfcc4d8f03e176696fb007900

Observation c924c766-0fff-4089-bc51-820a0c437c3d · inbound

MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment cites this paper.

MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T07:16:57.009797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:16:57.009797Z digest=sha256:4cf28ed62a3e4eec94301bc469088ce5390f5914e5b6ba030e172ab6c496dd12

Observation bea9c340-8709-4b74-9e1e-dd09fc3a7810 · inbound

Execution-Grounded Security Testing for Coding Agents in Software Engineering Pipelines cites this paper.

Execution-Grounded Security Testing for Coding Agents in Software Engineering Pipelines CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T12:39:56.103421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:39:56.103421Z digest=sha256:312bd3b9305ac84d6c5b8846dc3bcdfcee14eaba8f8db52718c0d7607958a8df

Observation ee17a69a-9657-44b4-b33a-8bdb70281bc3 · inbound

Do LLMs Know Their Vulnerable Scenarios? cites this paper.

Do LLMs Know Their Vulnerable Scenarios? CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-30T20:47:40.968965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:47:40.968965Z digest=sha256:40b8dc932244781d3d0c94e95bcbf0c6c7485889f1ffd69dab8f1bdca12e0c96

Observation d5d00b1f-ddaa-4194-9add-684ba077c30d · inbound

RoguePrompt: Dual-Layer Encoding for Self-Reconstruction to Circumvent LLM Moderation cites this paper.

RoguePrompt: Dual-Layer Encoding for Self-Reconstruction to Circumvent LLM Moderation CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 19

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malformed identifier
no resolver link, observed 2026-08-01T08:37:34.119983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:34.119983Z digest=sha256:a7da7b30d8e7c12ddf7aecb64f67bb07eea47c0351f89093058ea3df7adb1c50