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Paper Citation Record · LEDGER

LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.02916.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.02916 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:04.693015Z

measured 1 of 1 external citation measurements

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 1bfdab27-4c2d-41c8-84d2-028ba9d1282e · inbound

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models cites this paper.

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:04.693015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:04.693015Z digest=sha256:41b6ed18575456aac164fd9f5ee17ac61665f8c1fb3ca1f7904803e0f69e8f27

Observation e571f1f1-dc34-4f77-8c5b-1ef53434b618 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks

Reference 194

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:56.197336Z

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.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:529c9176a2177d09ec46a9ac539fe94ed8e6910aa9604185cc3b90f4bef5cba5

Observation 8c91eae2-fdca-455c-ba8d-79691f935cb9 · inbound

Adversarial Prompts for Acceptance Collapse in Speculative Decoding cites this paper.

Adversarial Prompts for Acceptance Collapse in Speculative Decoding LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T06:43:35.459929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:43:35.459929Z digest=sha256:7286ef65b055d7f70b398204a252b9fcbf04ff12654ba303b8b5d519154305cc

Observation 93dfcea6-fce9-4c60-a72f-fdb0c5b819ec · inbound

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails cites this paper.

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T00:20:22.387882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:20:22.387882Z digest=sha256:ad842307c05c7c14b5d01299cb3ec97bb48702c0a61d02c970fc844d0c03c1b2