Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal 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:2504.10000.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:17:23.839067Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:39:08.539128Z
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 7cdfaab2-b3b9-4dd1-8864-4e0ee71cfc06 · inbound
Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models cites this paper.
Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:17:23.839067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ab7658b-945c-4a81-a5d1-80082726db3f · inbound
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
Reference 260
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:39:08.543285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.