Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in 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:2305.01219.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:43:24.861099Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T05:38:05.440715Z
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 ce4d46fb-e9dc-4ef1-820f-3fe58b5014c4 · inbound
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks cites this paper.
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:43:24.861099Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8588a2d4-eac3-4550-851d-b7314dcc27ba · inbound
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models cites this paper.
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Reference 87
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-20T05:38:05.443829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.