Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.00416.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:23.584283Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0b7c81ad-5b12-4e7b-8545-2ac328f0991c · inbound
Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms cites this paper.
Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:12:23.584283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34178a9b-7747-4a38-9ee9-231b84be321b · inbound
Resource Consumption Threats in Large Language Models cites this paper.
Resource Consumption Threats in Large Language Models Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:45:28.295960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c9335390-492d-4184-993c-69154c4af5a7 · inbound
Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection cites this paper.
Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T02:27:06.257955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.