Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.19526.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:18:46.078166Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T15:47:23.347529Z
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 2e509585-1751-449e-8b6b-af4d743499a6 · inbound
MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models cites this paper.
MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:18:46.078166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81fb8c06-9f82-4982-a99a-c19672978cb9 · inbound
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Reference 92
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T15:47:23.348773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d2328e17-2239-4b38-97ed-001740354798 · inbound
When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning cites this paper.
When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:51:08.067184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.