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Paper Citation Record · LEDGER

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2402.16914.

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

pith.paper-citation-record.v1
2402.16914 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:02:47.346647Z

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
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
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 69f8b7c4-46ed-478b-915b-d3aa6d6d92af · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:20:44.730853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:8bb42ee08830194606d2d0c43b324bc07597500a3f0e5dcd72e55a1ecf826be1

Observation 22cabf06-0865-4a26-b598-885d7c8a2b06 · inbound

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation cites this paper.

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T12:25:30.613261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:30.613261Z digest=sha256:7afe349e50e0b403bb80bba3cf67a8ed61874e2c911b84ddc73f51ca93df819b

Observation 58197cf4-a898-48e8-a7ed-4b90456f2831 · inbound

Jailbreaking to Jailbreak cites this paper.

Jailbreaking to Jailbreak DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T17:02:47.346647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:02:47.346647Z digest=sha256:6eb4263a8b76c71d135f278eef10334257e48ba15fa7ea3a6944e7104bbbd8e2

Observation 9ed957d2-2887-409b-bdcb-8842dc65627e · 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 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:16.908261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.908261Z digest=sha256:9bcfd0121aba1cac71c8a68918939e8d41435ecfdce60cde597fbc4a036d69a4

Observation bdcec99b-775e-4fe4-8083-8ac83e1925fc · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:35.024627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:35.024627Z digest=sha256:9751731a5982490cbaf997a3d70b0a919ba708155669c77eb2d0ecbcb849b71f

Observation 6111a5ee-8cf9-4dd6-95c9-dd4bd41c45f8 · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:32:14.751197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T10:29:05.104520Z digest=sha256:ac5887e8853dbf0f180e138e317f07d5a863e2f28cde83e42a37531fa8fee113

Observation 65c9f057-029c-4115-b33d-15030852ea12 · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:29.162442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.162442Z digest=sha256:ccc35d239b5a009d9b95396ef69245978f60aa1535f37f58ac7683317a65f3c9

Observation 63ff88c9-2fe1-477a-bfc4-a26e7a7ff2b1 · 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 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:25.566053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.566053Z digest=sha256:9692dd17608728236c119f95804da961fa96de885d0d4b4c530f66f449211c0c

Observation 794a4aee-da99-493c-bdb2-f259682c4ea4 · inbound

Towards terahertz nanomechanics cites this paper.

Towards terahertz nanomechanics DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T01:03:50.785477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:03:50.785477Z digest=sha256:c9160cd7acad01fd925c292d78f5152570e080120e62f6141e656a499b7033e0

Observation f7dd2d6d-07a6-4e11-bcc4-66ccb503affb · inbound

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

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T01:04:34.437507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:04:34.437507Z digest=sha256:085c84e124c58854b3a47b04c93cf8dac4f39e6c705a5538c73256067f46a974

Observation 79ee3035-118a-407b-8085-916f7b3b6269 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:40.480555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:40.480555Z digest=sha256:3f17d83fb3dd3c425f9d2613dbb111fa91453914ec762294cf76e46fc53c8e76

Observation 5c51fca5-3ace-4ed8-aead-76b29948150c · 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 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:36:52.445155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T21:34:51.665401Z digest=sha256:f47f0c4c2a86a997604d921c3f953f26cc44607da8440954e8c442c7a9ee7425

Observation 05f5aa85-235d-4b43-83a1-80be2b3a3484 · 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 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:46.386991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:46.386991Z digest=sha256:48c3c753fadcbf2c364569e518f6e7719283d077e6e08eab8c7342f0a57e304a

Observation 1358916c-c128-4aaa-952c-d057c3118ff8 · 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 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:55:38.022340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T01:54:22.995178Z digest=sha256:985e8422ff17a364a4bcccb489737dca6e09fec44aa0b1ce62f208e2fbf99b5d

Observation 2fdb3514-3a79-4c03-adeb-e4f553ad2c83 · inbound

SelfGrader: LLM Jailbreak Detection via Anchored Token-Level Logits cites this paper.

SelfGrader: LLM Jailbreak Detection via Anchored Token-Level Logits DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:48:19.357903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T21:43:46.728512Z digest=sha256:894e6b2adec944f7036fa9580682d1c35579d4ecd19a739f119329c67717d5ac

Observation 56618874-883d-450c-bca1-d6ab31f4e38e · inbound

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

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:46:04.389761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:debc03dda014c5c980d8984d6510545eefefa7134dd5e3fe6c4d00f01024287c

Observation 7f80f370-27fb-45cd-a195-dcbfab3574cb · inbound

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling cites this paper.

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:08:11.950847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T10:08:07.648295Z digest=sha256:4ed957e4350b61b778f73457259b91293e34cbe12a505f213098fece7aa9f440

Observation 804aa57b-651c-4ab0-9cf5-405387b1f017 · inbound

Adversarial Reframing: A Framework for Targeted Generation in Language Models cites this paper.

Adversarial Reframing: A Framework for Targeted Generation in Language Models DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:36:21.023614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T09:35:51.862736Z digest=sha256:3c12d8a44936ba2b1ff71cdddda5110dded221627fd53a460d119995e2693d7d

Observation c0c8629c-bc02-4d69-9b40-8917f8c631d9 · inbound

Stateful Online Monitoring Catches Distributed Agent Attacks cites this paper.

Stateful Online Monitoring Catches Distributed Agent Attacks DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:02:41.101220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T21:54:44.072929Z digest=sha256:121ba7b5c5b7c9c17fc65b870971b32c4a5471dc207eacd25ddfccf10ae8a03a

Observation 36b603ad-917a-4335-93e8-65593a4459bf · inbound

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics cites this paper.

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:37:14.898011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:55:48.561400Z digest=sha256:9cd1b36ea2783cff0598825fc2e64484773498585bc6e9b96445d7f8e6dcaf95

Observation 70d33fdf-3407-4a96-9b21-f4d32dec0fea · inbound

AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated Evaluation cites this paper.

AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated Evaluation DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T06:40:17.865408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:40:17.865408Z digest=sha256:5777fb822764aa0c71504ecbb8cc1f15f1956bd8f5edaf0dc6492c3012003786

Observation 1f1fa684-7095-42ea-8e95-324843271df6 · inbound

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems cites this paper.

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 67

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no resolver link, observed 2026-07-14T03:26:15.676915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:26:15.676915Z digest=sha256:a06daaa3ac3195b87257267cbe7e4181454f42fa3a5ec551d458ed107cd8d9cb

Observation 1e9e90e8-0057-4eb7-8723-13533a0dad87 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 113

Resolution
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no resolver link, observed 2026-08-02T10:20:56.084051Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:56.084051Z digest=sha256:d0d8ad72a7731b28c443b53f71bdd5b9301b88e6160992c8189c7a2f30a2e8f6