Paper Citation Record · LEDGER

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2310.10844.

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

pith.paper-citation-record.v1
2310.10844 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:29:04.317455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.541839Z

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Outbound references

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Pith citing papers

Observation 74c1ca33-73c4-4ed6-8e5d-7e99d1e14373 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.890253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8e573e6-674f-46f1-a7e7-a12d2283bf32 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.818202Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1524854c-f491-4395-8ffc-62d3e82d8094 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.130679Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 152c8be4-b667-44a4-a94b-95663b27cc72 · inbound

RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting cites this paper.

RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 37

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Observation bdd11a46-2717-44f6-9a8c-e46145763804 · 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 Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:19.050079Z

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Observation 036fd6d7-355b-47ec-8f30-c90f08915df1 · inbound

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models cites this paper.

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:38.869549Z

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Observation cbb23944-f8d2-4daf-933f-d2b2bea00621 · inbound

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines cites this paper.

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:51:04.337887Z

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Observation 3cb6bb7e-8add-4cc8-8d15-10b3af923df8 · inbound

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks cites this paper.

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:50.671719Z

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Observation 07f13f7f-c6e4-4df8-b25b-d723062e2d62 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.562033Z

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Observation 98563063-0bb6-47e8-9adf-04d707e99bc7 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:54.251086Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77b78aae-c25e-42b7-9b0a-1a834bc918c2 · inbound

Self-reflecting Large Language Models: A Hegelian Dialectical Approach cites this paper.

Self-reflecting Large Language Models: A Hegelian Dialectical Approach Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 1940

Resolution: unresolved; no resolver link, observed 2026-08-10T14:49:53.847005Z

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Observation bd221061-12f2-4cfa-978a-c44a7c9e5a80 · inbound

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs cites this paper.

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T13:53:10.973355Z

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Observation e34b13c3-19a3-4d5e-8853-4d3a75b4b9b5 · 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 Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:57.366800Z

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Observation 02ad21f5-47e0-411d-a5f6-8f19eb505419 · inbound

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives cites this paper.

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:49.967993Z

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Observation af0cb92b-f7bd-42ad-9c34-e3a1ece7f36f · inbound

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities cites this paper.

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T14:47:15.309285Z

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Observation c71a1b11-70f6-4b5c-b8eb-1d8ad2eb2d85 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:25.548189Z

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Observation 8cde1543-df87-4c5d-817a-1cfe0574c2f7 · inbound

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks cites this paper.

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T04:37:28.522854Z

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Observation 8cbd3b69-1c96-4b50-b6ce-9eee7078f365 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:02:44.397504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dac3146d-6eb7-4f86-ad36-f6a65494106d · inbound

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion cites this paper.

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:14.841571Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1eea4041-1481-4f28-acc6-3fe938db8e38 · inbound

Set-LLM: A Permutation-Invariant LLM cites this paper.

Set-LLM: A Permutation-Invariant LLM Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:54.737108Z

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Observation 3a5fd50e-8463-4378-b555-0104ecddeb33 · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:03.630698Z

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Observation b79b05df-58c3-41ab-ad1c-60b79ca3b741 · inbound

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study cites this paper.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:58.625420Z

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Observation 6834f2c5-27b5-456d-8141-d43d9c8f53e1 · inbound

Securing AI Systems: A Guide to Known Attacks and Impacts cites this paper.

Securing AI Systems: A Guide to Known Attacks and Impacts Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:28.218630Z

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Observation ee72f87d-2f44-4743-9d6a-aef92a1fc866 · inbound

Explicit Vulnerability Generation with LLMs: An Investigation Beyond Adversarial Attacks cites this paper.

Explicit Vulnerability Generation with LLMs: An Investigation Beyond Adversarial Attacks Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:00.241746Z

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Observation 6992bebe-bcdb-43ba-b341-0577b25b048c · inbound

Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach cites this paper.

Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:06.330557Z

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Observation 6351fe2a-e6e3-4c08-a69a-59f01f6f8c61 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.889327Z

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Observation c1ac3ea4-1a10-4592-a21c-de29beabe937 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:45.522393Z

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Observation 44ca7e1b-5139-496e-bbf4-e753db7dc7d5 · inbound

SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds cites this paper.

SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:14:35.079560Z

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Observation b68e77f6-7fa0-49d6-b4a4-7614bad807bc · inbound

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories cites this paper.

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:35.177263Z

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Observation 6c917c07-f06e-4e09-9d7a-21b822e1d425 · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T23:09:41.453737Z

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Observation 6ed93282-b66a-4bc7-a8ab-a7e9ab9c3fbe · 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 Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:53.143092Z

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Observation b5b273ae-1c0c-4d21-88f8-d8da143f6a12 · inbound

A First Look at the Security Issues in the Model Context Protocol Ecosystem cites this paper.

A First Look at the Security Issues in the Model Context Protocol Ecosystem Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:12:26.302997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e723586-e1e6-48c2-8e3f-11c739240747 · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:25:52.247115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa4d4a4f-1265-466b-9d7a-681337864367 · inbound

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing cites this paper.

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T19:08:41.705708Z

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Observation 04cb83cd-e566-4c35-a53d-72324df03873 · inbound

Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models cites this paper.

Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:23:23.516334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a3290d8-0c80-4b51-8cee-a1d855d0efc9 · inbound

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation cites this paper.

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:10:26.186623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3e92f99-34c8-40b6-a4e5-307100ad83db · inbound

An Interpretable and Scalable Framework for Evaluating Large Language Models cites this paper.

An Interpretable and Scalable Framework for Evaluating Large Language Models Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:41:01.637098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abb620a2-85c3-4de1-9e3a-c966a5873279 · inbound

LLM-Agnostic Semantic Representation Attack cites this paper.

LLM-Agnostic Semantic Representation Attack Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:24.228171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79fd79eb-7288-49d5-aac4-04b80a41d753 · inbound

Same Model, Different Weakness: How Language and Modality Reshape the Jailbreak Attack Surface in Frontier MLLMs cites this paper.

Same Model, Different Weakness: How Language and Modality Reshape the Jailbreak Attack Surface in Frontier MLLMs Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.798995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a375261-2b3f-4875-bda3-ed23dbd53e5f · inbound

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking cites this paper.

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:13:16.287228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 56ef63d0-e4b3-456d-9648-61be75c445c7 · inbound

SkillGuard: A Permission-Centric Framework for Agent Skill Security cites this paper.

SkillGuard: A Permission-Centric Framework for Agent Skill Security Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:26:28.541049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b0e5784f-0ab3-4c41-a731-8912067b9e97 · inbound

SkillGuard: A Permission-Centric Framework for Agent Skill Security cites this paper.

SkillGuard: A Permission-Centric Framework for Agent Skill Security Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T18:32:00.165926Z

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Unavailable: canonical work link unavailable.

Observation ad514d80-3526-43bd-a294-ee1abca59f0c · inbound

When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations cites this paper.

When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.625693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49c231b4-8fe8-4cac-9398-c8cfd46eecd7 · inbound

S-GBT: Smooth Growth Bound Tensor for Certified Robustness Against Word Substitution Attacks in NLP cites this paper.

S-GBT: Smooth Growth Bound Tensor for Certified Robustness Against Word Substitution Attacks in NLP Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:08:22.543118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 512c7575-777a-4ffb-8de9-aedc6c442639 · inbound

Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection cites this paper.

Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T22:00:18.860503Z

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Observation b6e1d9ef-c30c-42d9-bc0d-2da1eacecc9e · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 195

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:31.990231Z

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Observation 7ed41cf7-1526-48e1-8dd2-6471e029d600 · inbound

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks cites this paper.

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:02.310068Z

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Unavailable: canonical work link unavailable.