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Paper Citation Record · LEDGER

FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2311.05608.

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

pith.paper-citation-record.v1
2311.05608 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:17:01.577794Z

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

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
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 d6611326-d04b-4e0e-a9eb-3c0a32f7beac · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 30

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verified exact
arxiv_id, observed 2026-05-15T02:20:44.644037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:af0c8c33b88658393ee277dc402a2301b198de08edcdd85bf820f620475b97a3

Observation 20571498-ca2c-4d01-b1ad-cf4779b735d0 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 261

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verified exact
arxiv_id, observed 2026-05-23T21:55:49.827489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:fe274d38dd6a1bedbed0a462417d7875ab168a06fb04d38428594b0a7ea9f71d

Observation 0dcd471c-92c4-46e6-8864-473a96d2d4d7 · inbound

Peering Behind the Shield: Guardrail Identification in Large Language Models cites this paper.

Peering Behind the Shield: Guardrail Identification in Large Language Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 17

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arxiv_id, observed 2026-05-23T03:45:21.421463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T03:45:14.234545Z digest=sha256:87044bfca4d68c0b2d9209772aa7eb849dc9611744ace5970eeaa06854250db5

Observation 8a28ffb6-f22f-4ade-aba3-4914e6ba9bfe · inbound

Universal Adversarial Attack on Aligned Multimodal LLMs cites this paper.

Universal Adversarial Attack on Aligned Multimodal LLMs FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 12

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no resolver link, observed 2026-08-08T11:17:01.577794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:17:01.577794Z digest=sha256:87ea4588b75ddd779529d3faf636b3c3d19c6512e298abdbd27f4893ac27f4a6

Observation 2b4a0320-2e8a-4784-bf05-44489b5580c7 · 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 FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 41

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unresolved
no resolver link, observed 2026-08-07T19:45:18.513844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.513844Z digest=sha256:754715a84065705d943d1e647b034b9f1dd8f5c7ac93907d0acb6efd2c5a6dbf

Observation a447fef4-d575-4fbf-b5c6-439c13bc93bd · inbound

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion cites this paper.

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 9

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verified exact
arxiv_id, observed 2026-05-23T00:15:14.901879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:13:08.603115Z digest=sha256:fa6790782e6a69e362983e416ad9d0f8bcda7d523d255e82bacbf8244694cb89

Observation 103793a0-decc-44e8-bd1a-2f4d876afd11 · inbound

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

Backdoor Cleaning without External Guidance in MLLM Fine-tuning FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 23

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no resolver link, observed 2026-08-07T14:56:50.049188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:50.049188Z digest=sha256:4fe2a8ab1818d2341de6161e963828906a6cbd9b6e5256a6a4aaf2a324578e8e

Observation 0a8124b6-20c0-41e0-a7c7-ed3b7ee9bce7 · inbound

Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework cites this paper.

Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 17

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no resolver link, observed 2026-08-07T14:27:05.699522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:05.699522Z digest=sha256:85efbc8fc67c762bd4db9b37a93ec14a3e5e99978a8218cc50c0e95ec3fca21a

Observation 4ff5cd9d-7983-411d-a328-87439cb68029 · inbound

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration cites this paper.

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 11

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no resolver link, observed 2026-08-07T14:13:11.421412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:11.421412Z digest=sha256:0709bb80f9511c23d36ef456c72f11f67ed7d5ddc40a2b0d0364397e15ef97fd

Observation 154a0da8-bb06-4901-b630-d98a7539b344 · 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 FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 9

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no resolver link, observed 2026-08-07T13:22:00.808067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:22:00.808067Z digest=sha256:dd42b0872ff78887d39454a2d8af5b94716e37f78cc308437e6e47583abbb6e4

Observation c9a16fcf-f021-4a0c-a6cb-addc007f4cbc · inbound

Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models cites this paper.

Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 6

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no resolver link, observed 2026-08-07T13:17:20.261903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:17:20.261903Z digest=sha256:5e3344991c885afbf3d151d2012af08275a48f92aed00df7cf9c34dcdf3745db

Observation 197b9f6a-0da3-4cf5-a240-b7adcd798e32 · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 44

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unresolved
no resolver link, observed 2026-08-07T12:34:37.104583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:37.104583Z digest=sha256:989d9d2fecd6c10fc61ed36ee5dc4064641df79d08aeebeedcabab6a4cbb77b7

Observation 15745a6e-fa80-4aa0-b09a-8879aa8366e6 · inbound

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders cites this paper.

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 11

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no resolver link, observed 2026-08-07T12:35:26.878499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:26.878499Z digest=sha256:b5117ce0f5397259d3b2b9d1a340cfa7c36999fdad884950086b1001e034ff70

Observation dacb2f80-318f-4ac3-bbe4-bcd682011472 · inbound

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities cites this paper.

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 12

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unresolved
no resolver link, observed 2026-08-07T12:07:59.166840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:07:59.166840Z digest=sha256:b39413d566b1609a4fe67867eea42a40765c99861e72a65a3a8b862db3a194ed

Observation 68b78950-31ea-4ae7-a11a-c446900e07a2 · inbound

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message cites this paper.

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 2

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unresolved
no resolver link, observed 2026-08-06T19:46:25.203611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:46:25.203611Z digest=sha256:5a834f2c3ec3975446cec324442e97d1141616b68adf109b9339d170f594586c

Observation 646bbd30-5388-4171-9b02-5d93ffeb2371 · inbound

Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World cites this paper.

Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 15

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no resolver link, observed 2026-08-06T19:46:11.544437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:46:11.544437Z digest=sha256:523f8a9bf649f7a3821462dbb8fd7e4b07541e80208acbe7dca24a0e9a9bb031

Observation d549b25a-4dac-4f19-9750-9debf0272fd8 · inbound

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities cites this paper.

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 23

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unresolved
no resolver link, observed 2026-08-06T17:21:35.208807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:35.208807Z digest=sha256:f4545d61dd34fe716708d29e79e8f9fed7ae070d7ca9b489e6f68e25d8730242

Observation 4f27bd73-024c-4e13-adfe-8123bb08ea74 · inbound

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models cites this paper.

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 11

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unresolved
no resolver link, observed 2026-08-06T12:40:05.291273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:40:05.291273Z digest=sha256:4c30aed985112bacca696bfc6d8e6834b1500adf2f057ae4dc72c9cf9699a840

Observation ebab30ad-0dee-4a65-835b-e9d800498ce6 · inbound

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security cites this paper.

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:39.668500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:39.668500Z digest=sha256:cf5d9cecf2131a675b08b36b8b4c88022c96d924cc4f8114089ff2e87c96cd81

Observation d510cf0d-ca3a-4b04-b357-685170176142 · inbound

The First Differentiable Transfer-Based Algorithm for Discrete MicroLED Repair cites this paper.

The First Differentiable Transfer-Based Algorithm for Discrete MicroLED Repair FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 8

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unresolved
no resolver link, observed 2026-08-05T22:21:02.779195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:21:02.779195Z digest=sha256:dc171602cab21e18b3ee386f0c4cf5b4b5da652aecb2267f28a304c4d9579f91

Observation a9d54ccb-3003-4fc0-aa8a-ac732c816833 · inbound

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models cites this paper.

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 2023

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unresolved
no resolver link, observed 2026-08-05T21:22:36.936309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:22:36.936309Z digest=sha256:834f45bdb02a3ba44c1dda865b18d5b4253f7b8f534ff1371655eedc7d1c04cb

Observation 5740cbd4-b93f-4ade-b1a0-87b323e0e519 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 110

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no resolver link, observed 2026-08-05T20:31:43.152848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:43.152848Z digest=sha256:d73b37245376d8f95761e8541437cb8aa733ae9ffecfb5fa06cff94923d78c81

Observation c4b7143d-a5e2-4c76-abb8-656d7930f615 · inbound

Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models cites this paper.

Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 2025

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no resolver link, observed 2026-08-05T13:44:55.849334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:55.849334Z digest=sha256:fa616597f1ae386bef9809771694d6e161d1c091553a591081a57949418e05cb

Observation 065152dd-2878-42c2-ae83-a853d098f144 · inbound

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models cites this paper.

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 2023

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unresolved
no resolver link, observed 2026-08-03T01:22:20.345146Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:22:20.345146Z digest=sha256:b3a7ac3dca0117a11de8b1322fdb537b24161086d292412413760bd3f49d73c5

Observation c782b4e9-3165-442d-a618-76714429a737 · inbound

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training cites this paper.

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T00:45:50.717999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:18:56.476698Z digest=sha256:2730f69f8d83220703c986319e467a80030087cdc885e33f1056ac2ec33f122a

Observation 33eee8d1-b51e-4d1d-ac56-a4ab45110693 · inbound

One Perturbation, Two Failure Modes: Probing VLM Safety via Embedding-Guided Typographic Perturbations cites this paper.

One Perturbation, Two Failure Modes: Probing VLM Safety via Embedding-Guided Typographic Perturbations FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T23:21:15.062154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T17:24:05.847988Z digest=sha256:4c7b14a24d2bcd153f4513551c9e079db616410c0f2e28b89da9643392ff224e

Observation c4d9e311-7b61-4e74-90e8-cf1d6cfc511a · 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 FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 8

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verified exact
arxiv_id, observed 2026-05-11T16:56:08.044730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T14:24:48.999632Z digest=sha256:ac56b8813d7e6f727293e9a794b41b52ecce6571c9285181a578b2d05788fb90

Observation 1a793493-6053-4015-b0b5-66b60f0b1867 · inbound

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

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 55

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metadata mismatch
arxiv_id, observed 2026-05-12T05:51:27.613031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T04:50:08.866969Z digest=sha256:66af254ce83d1e000738d310e95371927263328e9a70dd36c43914fa56da0ec7

Observation 52479ce2-430d-4a5a-9cd6-745d42dcee2e · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 82

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metadata mismatch
arxiv_id, observed 2026-07-03T01:27:31.023210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:33:28.848573Z digest=sha256:cfb29366bdac7d816dd2a0655835d6f8f37be77ec2d13db7e0a8c7b1f7da477f

Observation cce14d1e-e0ed-4e91-be22-99cc7cca0d5a · 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 FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 18

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verified exact
arxiv_id, observed 2026-06-26T04:38:59.203237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T04:35:51.583460Z digest=sha256:d7cdd9c3a3532f4a223d91b79d6167330330ceb035307f7f1f688171c41482b0

Observation bfae213e-9029-4b58-954f-127a92ef4fd2 · inbound

Securing Multimodal AI through Internal Information Decomposition cites this paper.

Securing Multimodal AI through Internal Information Decomposition FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 10

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no resolver link, observed 2026-08-02T15:02:59.139372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:02:59.139372Z digest=sha256:32707480b316d2250d4d50624a04dcd4454d7282973b3e9abf8c13aeff2a534c

Observation d3a5ca68-e5e4-475a-9d0b-7ca49e3997bb · 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 FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 121

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no resolver link, observed 2026-08-07T00:14:47.682360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:14:47.682360Z digest=sha256:9196ad1f7179354f64dd5c6a6b62b9c53b04ddb9d541586eef2bd13cafe80fe2