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Paper Citation Record · LEDGER

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.06659.

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

pith.paper-citation-record.v1
2402.06659 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:18.387369Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:28:21.655309Z

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 1327c71f-542b-441b-a1fb-f9eea78e0d16 · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T19:45:18.387369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.387369Z digest=sha256:6f32f05da29fb5de726168fac3aa89021183d1fe9c8656644eca247d10dab05f

Observation 797eb615-231f-49a8-8887-90c7f2de5345 · inbound

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery cites this paper.

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:47.515387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:47.515387Z digest=sha256:d86ee2aa3da0f2d66a3964ac0541f5c1501e8d698137311c0ad10636ac9f8582

Observation 859bd800-3a36-4ae6-9149-195f24f1cdce · inbound

BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF cites this paper.

BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:05.514154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:05.514154Z digest=sha256:dcc23a9f22af01de2a18f19ad893d7b82b4eb16a2800fc7f9d3e83da19b5a759

Observation 99386c66-31b8-4dae-9717-110984556b4d · inbound

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents cites this paper.

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:18.539302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:41:18.539302Z digest=sha256:58291f47c1a74ba7a4b986702a267c6fb41058855f834a762254fa2223dc482c

Observation 9a796f04-db7e-4113-8dce-8f609601c174 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 229

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:06.278455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:06.278455Z digest=sha256:111a239ed9e9aec5806b0dc6a137c772b8ae508a37e07ab4b00adf44e28329d9

Observation d8f76c77-ee96-460d-a0c1-cbb951603d8e · inbound

Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models cites this paper.

Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:28:21.657629Z

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=pdf_text observed=2026-05-20T14:25:10.603780Z digest=sha256:125da7d7337e05f275ca577dd6f6a3af87244d6e874fb6d68a91360e2fa63099

Observation 86063288-5c08-41d7-9ffc-2b9f23ef74f0 · inbound

Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment cites this paper.

Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:20.891338Z

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=pdf_text observed=2026-05-20T14:07:56.386933Z digest=sha256:32892e1d1efb3a0022843753fa08483c92d8f6d92fe7f29fac0cba9029b96ab5