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Paper Citation Record · LEDGER

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2403.09792.

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

pith.paper-citation-record.v1
2403.09792 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:05:52.310173Z

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 6bf3f076-3aa4-400d-a15d-5c9e7dafadb9 · inbound

"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models cites this paper.

"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T18:05:52.310173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:05:52.310173Z digest=sha256:f5dd84f7e8cb4be167b7445ead0a592dc694b38193186aa6cd45e2839f1b77bc

Observation b9231a06-af04-49cc-ba6a-af6d09090d4e · inbound

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models cites this paper.

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T14:58:53.792111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:58:53.792111Z digest=sha256:7af726785ede5515e32d32d546aa8074890f79a1ae992a7980b08f0e64f2406b

Observation fa29efff-feab-44d5-850d-a51af125e94f · 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 Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T19:45:18.507649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.507649Z digest=sha256:38adac2662905db00c4a28d8a2c9a94ff054a8ec99413fee4676a30170f70b75

Observation 6bbb22b3-c3e5-4fb6-9e72-e6ca0e43ee60 · inbound

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion cites this paper.

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:11.420668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.420668Z digest=sha256:1b3caf5a00b21e5e46cfd7d20efcda2aacac12dcf8530ecad5b60275a197804d

Observation b98ecd05-61e7-4851-ac8c-c2ab05677a56 · inbound

Backdoor Cleaning without External Guidance in MLLM Fine-tuning cites this paper.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:51.412320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:51.412320Z digest=sha256:d9afcc606490e6d4bd650340eae00bd82ec67decf492fb2f5c447fb1ae31e9ef

Observation 2a43af3d-bcb8-4cfb-9482-2b6cd603c2ae · inbound

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack cites this paper.

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:22:01.312248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:22:01.312248Z digest=sha256:93310948f992c94b0c0bae30ea417f3a5239a904c4c9f92afe82381e81c71969

Observation 43c65426-d610-4b47-a5df-062d796a065b · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:43.497004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:43.497004Z digest=sha256:6bd16bc8a04338a9bbd7f1c38ae5cf16b71196cd6d864eac58a36503bbb13fdb

Observation 3ce15541-625c-495a-ab08-158e850576cd · inbound

SALLIE: Safeguarding Against Latent Language & Image Exploits cites this paper.

SALLIE: Safeguarding Against Latent Language & Image Exploits Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:30:51.245712Z

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=2026-05-10T19:04:46.426969Z digest=sha256:4a34bf1bb95b9ae812153267de440116a42be92db5f6e4dab13c5344db500273

Observation 2f9908e5-36b1-4c44-96d3-04107195ea7e · inbound

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation cites this paper.

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:10:26.165165Z

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=2026-05-10T13:09:35.407790Z digest=sha256:91d5672531351b55ca1ae63a9836739332fced8d52c77e077ce098db733494f3

Observation 756304eb-f199-48c5-ad30-710f8f78ad83 · inbound

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models cites this paper.

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:56:08.176963Z

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=2026-05-09T14:24:48.999632Z digest=sha256:256804c4b5ebe1d844404f1d0a944998149deed3d33dfbc169224cd8b5ef7973

Observation 8469b9c3-1e1f-498e-8828-843be58a7a9f · inbound

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing cites this paper.

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.478710Z

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=2026-05-12T04:50:08.866969Z digest=sha256:f29cc684654e72243649b92e3937fbe92c3ab9adb8d578f599c3071c53d76d15

Observation 99fd1219-c007-4303-b66d-521a0bbd0d06 · inbound

EVA: Editing for Versatile Alignment against Jailbreaks cites this paper.

EVA: Editing for Versatile Alignment against Jailbreaks Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T14:35:47.008475Z

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=2026-06-30T20:40:51.290851Z digest=sha256:e922b7c9fb34410422cad45a150706f02b9dfa115e46c0a72a7333676e1b8b1d

Observation ac30a608-caba-4506-af9e-8b6353e1c10a · inbound

VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents cites this paper.

VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.383448Z

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=2026-06-28T22:59:43.041678Z digest=sha256:4fdfbcd5f5aa6794cf88631ff2bbb1dfdc3640b9cc1c174474939f1c5d6f24ca

Observation f88c73f7-be16-451e-a3ac-d9fbafd23c98 · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T04:38:59.195293Z

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=2026-06-26T04:35:51.583460Z digest=sha256:d92d44d1d6590d4683bbf7129ee6b0368f05e5fd663ec1f9e1b67eddaa12fd18

Observation 56e80f9a-1140-4f7e-883e-db34e857a2e8 · inbound

A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination cites this paper.

A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:48.340224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:14:48.340224Z digest=sha256:bf258c198d68f4490e7a0a8a661e1021c24d2447a48f14f3f6fad42674169863