Paper Citation Record · LEDGER

Attacking Large Language Models with Projected Gradient Descent

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2402.09154.

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

pith.paper-citation-record.v1
2402.09154 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:48.859908Z

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
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External citation measurements

5
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 cd7ed140-9c2e-4f02-bcf7-da743d17a18b · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Attacking Large Language Models with Projected Gradient Descent

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:11:00.698921Z

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.

Observation dcd6d2d5-77a7-4685-a090-86134a0fa128 · inbound

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Attacking Large Language Models with Projected Gradient Descent

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:08:05.581194Z

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.

Observation cc169369-d863-4cf4-b57c-c8a5fa95f46d · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Attacking Large Language Models with Projected Gradient Descent

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.639144Z

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.

Observation 6448b82d-8a67-444c-98d4-f9be429bdc3f · inbound

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation cites this paper.

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation Attacking Large Language Models with Projected Gradient Descent

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:06.132379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f0d227-a640-4fe8-ab2f-a9062f9a3346 · inbound

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds cites this paper.

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds Attacking Large Language Models with Projected Gradient Descent

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:36.949947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd9486a-9c6d-471f-9738-f76846e34efa · inbound

Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization cites this paper.

Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Attacking Large Language Models with Projected Gradient Descent

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T18:42:33.351242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66422da4-9284-4434-adf0-a283237a2e44 · inbound

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak cites this paper.

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak Attacking Large Language Models with Projected Gradient Descent

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:31:31.576750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32d0ce5-0404-4151-80cb-80fb5e2ceb31 · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Attacking Large Language Models with Projected Gradient Descent

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:18.803840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48861e3-38af-4701-99f2-bc6ad706a53b · inbound

Trojan Detection Through Pattern Recognition for Large Language Models cites this paper.

Trojan Detection Through Pattern Recognition for Large Language Models Attacking Large Language Models with Projected Gradient Descent

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.811659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6060557-e7b2-4978-86ba-8095c8d1971a · inbound

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery cites this paper.

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery Attacking Large Language Models with Projected Gradient Descent

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T21:39:57.801536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efbfee1-fe77-4e5f-b64e-5940d1f523d5 · inbound

Safety Reasoning with Guidelines cites this paper.

Safety Reasoning with Guidelines Attacking Large Language Models with Projected Gradient Descent

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T23:50:35.711274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 227aab02-0700-4ca3-9c78-dc0bc8748524 · inbound

LLM-Safety Evaluations Lack Robustness cites this paper.

LLM-Safety Evaluations Lack Robustness Attacking Large Language Models with Projected Gradient Descent

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:27:21.305556Z

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.

Observation 5661be85-fa06-42da-8390-2496b559f216 · inbound

Edge-Based Learning for Improved Classification Under Adversarial Noise cites this paper.

Edge-Based Learning for Improved Classification Under Adversarial Noise Attacking Large Language Models with Projected Gradient Descent

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.859908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6006f2-0e8f-4cfe-9107-a73599998ffc · inbound

OET: Optimization-based prompt injection Evaluation Toolkit cites this paper.

OET: Optimization-based prompt injection Evaluation Toolkit Attacking Large Language Models with Projected Gradient Descent

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:39.361751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9298d76f-bc7f-4d4a-aa27-382ceecacf83 · inbound

Lifelong Safety Alignment for Language Models cites this paper.

Lifelong Safety Alignment for Language Models Attacking Large Language Models with Projected Gradient Descent

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:04.958799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e12a24-16cb-4e2d-abc5-24064a025fd8 · inbound

Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts cites this paper.

Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts Attacking Large Language Models with Projected Gradient Descent

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:06.516291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdebc9ff-d61f-4f92-a347-780d0fa2a544 · inbound

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations cites this paper.

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations Attacking Large Language Models with Projected Gradient Descent

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:57:16.512989Z

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.

Observation b604ea45-9d0f-4d8b-872c-dc0f7479c980 · inbound

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression cites this paper.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Attacking Large Language Models with Projected Gradient Descent

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:13.446894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb50952-d1d9-413d-be5e-82a3066116a6 · inbound

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety cites this paper.

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety Attacking Large Language Models with Projected Gradient Descent

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:00.545572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457de37f-944c-47b4-9a23-eb3cfd5ba36c · inbound

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation cites this paper.

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation Attacking Large Language Models with Projected Gradient Descent

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:56:13.268391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09cebd2c-7789-45e8-89f2-5eb8bf3a0b10 · inbound

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models cites this paper.

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models Attacking Large Language Models with Projected Gradient Descent

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:56.204745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd52154-d50a-4659-b063-cc2bbd32eb46 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Attacking Large Language Models with Projected Gradient Descent

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:33.071055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b47654b-2df4-4b6f-b4e5-9da9ec7c2479 · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? Attacking Large Language Models with Projected Gradient Descent

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:48.402754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb98816-ca6a-40f5-96a0-89c93ed6d197 · 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 Attacking Large Language Models with Projected Gradient Descent

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:40.661962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3431ab42-a099-4b3d-bbd3-9069a13ea693 · 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 Attacking Large Language Models with Projected Gradient Descent

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:55:38.083052Z

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.

Observation a1b178c8-724c-4bfe-b48e-4bcf2c02f008 · inbound

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking cites this paper.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Attacking Large Language Models with Projected Gradient Descent

Reference 9

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T08:21:01.267141Z

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.

Observation f87d6bfa-6cb8-4a93-a63a-07c2da470cf5 · inbound

On the Hardness of Junking LLMs cites this paper.

On the Hardness of Junking LLMs Attacking Large Language Models with Projected Gradient Descent

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.187348Z

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.

Observation 6c7792d8-2f4a-4dc1-8be3-a90d998c2bed · inbound

LLM-Agnostic Semantic Representation Attack cites this paper.

LLM-Agnostic Semantic Representation Attack Attacking Large Language Models with Projected Gradient Descent

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:24.234026Z

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.

Observation 209e1f92-6b78-4cd4-9587-1b0b917b5ad8 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Attacking Large Language Models with Projected Gradient Descent

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:17:56.850770Z

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.

Observation cbeeb290-95be-49a3-a155-f2d60800eb74 · inbound

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs Attacking Large Language Models with Projected Gradient Descent

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:16:34.691368Z

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.

Observation b9c5ddeb-a11c-435d-bbd1-7ad52573b1be · inbound

Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces cites this paper.

Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces Attacking Large Language Models with Projected Gradient Descent

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:54.860562Z

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.

Observation c5232ba9-5422-459d-ba88-940486fce466 · inbound

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Attacking Large Language Models with Projected Gradient Descent

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.330416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f6fcc8f-0817-4044-8971-ddbf7e95922a · inbound

Position: It's Time to Optimize LLMs for Self-Consistency cites this paper.

Position: It's Time to Optimize LLMs for Self-Consistency Attacking Large Language Models with Projected Gradient Descent

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:03.202299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.