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Paper Citation Record · LEDGER

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models

As of 5 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2602.14399.

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

pith.paper-citation-record.v1
2602.14399 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:16:37.340618Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20378c2b-3c5c-417c-b4df-9566d29802f8 · outbound

This paper cites GPT-4 Technical Report.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.436497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.436497Z digest=sha256:4ba10131498b515e2805b63e6490a188186c740e6847b221c914b63d92647eb4

Observation 1489303b-961a-45fd-8017-10d7a885674f · outbound

This paper cites The Llama 3 Herd of Models.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.606097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.606097Z digest=sha256:74ffb6cdeb5f64e247e9c28b1b29f59562ccb1c6a8e60c6f2a71f06b0002af77

Observation d1f1aed4-9907-4f24-8ab2-abe3bd2cd33b · outbound

This paper cites JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.747125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.747125Z digest=sha256:e36141ab877129abbf30938eef95ee27b80ca48123f990eaac952e51598da506

Observation f036b930-a299-47f6-ba77-7ab84fc7cea0 · outbound

This paper cites Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.824638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.824638Z digest=sha256:a3c3737ee81311def00bf3ff7dff492493fc5f4ce050d6de869a435641b06cba

Observation 76e9f21c-2f3f-442b-b656-4f3113d1b154 · outbound

This paper cites Derail yourself: Multi-turn llm jailbreak attack through self-discovered clues.arXiv preprint arXiv:2410.10700,.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Derail yourself: Multi-turn llm jailbreak attack through self-discovered clues.arXiv preprint arXiv:2410.10700,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.896991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.896991Z digest=sha256:081153d8f7aa411a2a18151e17c1f59bf789d57f2ab11e5187e5dbd17c85b508

Observation dee546ed-d331-4466-84aa-ec765f8b2e60 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.943702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.943702Z digest=sha256:75b326c7803706c0f812ff3ebe728dbf25b90be27fbb0035bcbaabe9e94381b0

Observation 0d0660a2-962e-478c-a423-46ea702f87df · outbound

This paper cites Jailbreak Large Vision-Language Models Through Multi-Modal Linkage.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Jailbreak Large Vision-Language Models Through Multi-Modal Linkage

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:37.009571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:37.009571Z digest=sha256:548b795f5e31031d280326bd55ea2a4881fb0ac889396ed9bcde1c878af2d9c3

Observation 550e8a54-d8d3-419b-8b95-167d0591c72b · outbound

This paper cites Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:37.158808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:37.158808Z digest=sha256:81661c20be1cb648ebcfdb004eba28a06d1b8dd495f2f3527903d4a8c108e3a8

Observation 00241a2f-ca3c-41a2-a0f1-76fda022f846 · outbound

This paper cites Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:37.266923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:37.266923Z digest=sha256:6b691fb4a7b83673fa4c0bab629b59f05ed05a44875b9bc24d79465183013b1f

Observation b6813ecd-c270-4a6d-a572-ebd877f52cca · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:37.340618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:37.340618Z digest=sha256:4e488b19131a6a7717e527e966583072c771f2460e102eda3ca7834be6c890fc

Observation 94a700ff-3cf7-4084-a601-6bd5018fa98a · outbound

This paper cites Foot-In-The-Door: A Multi-turn Jailbreak for LLMs.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Foot-In-The-Door: A Multi-turn Jailbreak for LLMs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:37.115496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:37.115496Z digest=sha256:40c15905f87959c0a758473e3d700ccef5ec08836c86731493eeafd9680a9f5a

Observation fa1b7de9-2322-463e-af2c-5dfe15647f9d · outbound

This paper cites Qwen2.5-VL Technical Report.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Qwen2.5-VL Technical Report

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.495324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.495324Z digest=sha256:df0087830227c415ab5ef50d5215bafc4cbbb7e2b9b62f71709288daf25cc82b

Observation 1173e618-490e-49e9-90bd-8aa57e633551 · outbound

This paper cites REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.682289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.682289Z digest=sha256:8359b2a95573434c26f6a34a356ec9760575e76a28014c8c66b08d5254e69901

Observation 9b244e70-b932-4792-b083-a976e5b4c038 · outbound

This paper cites Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T23:16:36.535613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.535613Z digest=sha256:ca37779a42fff446789e3b7e7e8bed83ea277b1f2f364e2389245da581e9be10

Pith citing papers

No inbound Pith citation observations are available.