Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Adversarial Robustness of Multi-Modal Foundation Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.10741.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:44:56.319661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:23:28.087024Z
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 f7401d2b-0a18-4308-9b08-2dd5c8c7f73a · inbound
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models cites this paper.
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models On the Adversarial Robustness of Multi-Modal Foundation Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:44:56.319661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e06e3ed8-ed28-42d8-87de-f45f659c0a70 · inbound
VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models cites this paper.
VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models On the Adversarial Robustness of Multi-Modal Foundation Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:56:08.169927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 30ba9a2a-f8c9-4db3-94e4-d3efd3d89479 · inbound
JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models cites this paper.
JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models On the Adversarial Robustness of Multi-Modal Foundation Models
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T13:23:28.089131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.