Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.15279.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:29:59.265087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:36:25.412835Z
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 8b07a41e-f589-4850-94ef-e730e811077a · inbound
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33e34e23-58f2-46f8-9fd3-d812f6fc3a2c · inbound
VLSBench: Unveiling Visual Leakage in Multimodal Safety Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db440eb6-53fa-4b5e-90bf-dfbb5a0e6ade · inbound
Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60d7a020-cc9e-45c7-8218-438ade4fa302 · inbound
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 168
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 843de802-8fef-408b-a208-006bb50228d5 · inbound
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9203d1f4-63b2-4295-bffb-2000749da03c · inbound
ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed14b304-646f-45a4-b3ae-915789c18f81 · inbound
MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9418b88-1f0e-4957-9ca1-fd398b28f113 · inbound
Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18b7abbd-7c89-4d68-ab8c-0b90f78b3d6c · inbound
Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0e60edac-3f2c-4201-8a5d-126e1d465497 · inbound
Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3c296d3-290b-4809-9422-5c9e6715ac8a · inbound
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9fd0bf0-6605-4fbb-9531-0c3568e82fe6 · inbound
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea7b93f3-f454-47d7-81e0-6756f6f84de9 · inbound
Constitutional On-Policy Safe Distillation Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.