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Paper Citation Record · LEDGER

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.11038.

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

pith.paper-citation-record.v1
2504.11038 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:38.683682Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:16:32.052654Z

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 4a4d5c10-e394-457b-b052-811a84c24ac0 · inbound

Superplatforms Have to Attack AI Agents cites this paper.

Superplatforms Have to Attack AI Agents QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:38.683682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:38.683682Z digest=sha256:9537c4e0dae0dbb8dc92e5b2ecce425aea87ca75c32f7ba91359609c4ddded14

Observation 855a97b9-aaa8-4061-894a-dcb1915dafd6 · inbound

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models cites this paper.

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:16:32.129974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T18:16:31.266454Z digest=sha256:0edf2b75e0c6c525ee3c57ed077fec459122dc3d0f0c5b6f9724adb600026ec5