Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20090.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:35.084001Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:56:03.253941Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f60c9835-8292-467e-adf1-c4af10ca95ea · inbound
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models cites this paper.
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:35.084001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ea89b6e-9c41-4ecb-931b-dd8b7a1f251b · inbound
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models cites this paper.
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:56:03.256500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.