Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2403.09513.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:29:59.269688Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:27:30.986737Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation adcd44df-1b37-43a0-a11f-a22db48f68c6 · inbound
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 64
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36be9413-1bb9-4eb5-88ee-aa7ba7c7859e · inbound
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 110
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 128ab646-8c82-4197-9077-e06c7ad864e4 · inbound
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5bad0b5-63bf-4e02-a284-17178a32879b · inbound
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d42c0744-2cd9-43fc-bd22-079b58f5946e · inbound
Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 83
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46954c41-bb54-4276-8149-a6397ffbdc6c · inbound
Topological Signatures of Adversaries in Multimodal Alignments AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb549679-a2df-41f3-ba76-183bff6136c9 · inbound
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5ac4b27-eb7a-4a20-b6a8-0ff6424400b6 · inbound
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09b4c3f0-9275-4e1e-be3e-070b3dbb123a · inbound
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c17b61d-0b4d-4798-9adc-1d39b89c96a8 · inbound
Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94a69ac0-6493-44e9-9945-eece68ad9f8d · inbound
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7256f71-0e64-4aa5-a38c-bba67624aa07 · inbound
A Survey on Training-free Alignment of Large Language Models AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 789408f7-9c83-442e-b63f-867223341148 · inbound
SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 193
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7bc9889-2fc8-4ee6-a1d5-af722f18537d · inbound
Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9c1b1f92-165b-409e-b83d-0e597814e181 · inbound
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Reference 107
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.