Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12562.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:19.651457Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T20:29:13.513607Z
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 44709b70-467a-475f-89f3-88acc161d5cd · inbound
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models cites this paper.
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:19.651457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dadacb4-7652-4e5b-97b0-61dc32a9b3d2 · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
Reference 248
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:29:13.586081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6e9bc59-b4b1-4e72-a560-bf44bf75bc76 · inbound
Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs cites this paper.
Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:25:11.588747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.