Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.18511.
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 2026-08-15T22:46:49.571374Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T22:05:49.241092Z
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 96161355-4562-404a-be26-d68e12a378f2 · inbound
CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks cites this paper.
CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:22:02.852723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 102292ef-b1e7-4814-8660-c2046529b413 · inbound
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving cites this paper.
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:46:49.571374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e8d1372-d087-4400-b2fc-16e240eee93c · inbound
A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.
A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:05:49.242956Z
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.