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Paper Citation Record · LEDGER

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.16760.

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

pith.paper-citation-record.v1
2506.16760 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:43.269669Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d204f17c-1770-4b55-97e0-ac8438e63efb · outbound

This paper cites an unresolved cited work.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Unresolved cited work

Reference 1

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Observation 41261ed3-e84b-4928-af26-2b0df8d2067b · outbound

This paper cites GPT-4 Technical Report.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models GPT-4 Technical Report

Reference 2

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source=pdf_text observed=2026-08-06T23:42:38.611607Z digest=sha256:b719c22348640a607eeb7349ce20d8cfd619e2d0056b2a34a39f44972b472971

Observation fbfa95c3-7b3a-4a3b-a2db-1260d716177a · outbound

This paper cites https://together.ai (2025), accessed: 2025- 06.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models https://together.ai (2025), accessed: 2025- 06

Reference 3

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

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Observation 22ca9b99-9f0f-4a3f-a0e6-42b811b09326 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 4

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Observation 864b1d06-e646-4b04-8962-2d50ea9004ea · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

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source=pdf_text observed=2026-08-06T23:42:38.985969Z digest=sha256:0f04da229b8aceee469962cac5a6c2ac3fbebe7d88891359b7addd30c1467fd5

Observation 9af55388-72f1-4d6d-8645-b79be8e28636 · outbound

This paper cites an unresolved cited work.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Unresolved cited work

Reference 6

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Observation 6bc3847a-7a3e-4c32-af17-778fd7fab464 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 7

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Observation 58d4f8c3-ac1a-4392-9c3d-2dfed39261b3 · outbound

This paper cites In: Proceedings of the AAAI Confer- ence on Artificial Intelligence.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: Proceedings of the AAAI Confer- ence on Artificial Intelligence

Reference 8

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

source=pdf_text observed=2026-08-06T23:42:39.317685Z digest=sha256:235adefa47b1f31fc4be1879e8ac41efce1b69b7a454eafae934b007705fba4b

Observation 7d6339da-4eb8-4313-87ea-e6e94e8870cf · outbound

This paper cites arXiv preprint arXiv:2402.10601 (2024).

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models arXiv preprint arXiv:2402.10601 (2024)

Reference 9

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Observation c63fd57d-3bff-4954-9b0f-a10b07749024 · outbound

This paper cites GPT-4o System Card.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models GPT-4o System Card

Reference 10

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source=pdf_text observed=2026-08-06T23:42:39.589878Z digest=sha256:02cbf16a902915ee21ce7b549f6721daddcab64aee9ddcb68d30252ed12a4add

Observation 835a3e93-2361-4b44-b00c-33241bd8a543 · outbound

This paper cites https://pypi.org/project/easyocr/1.7.1/ (2023), accessed: 2024-02-09.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models https://pypi.org/project/easyocr/1.7.1/ (2023), accessed: 2024-02-09

Reference 11

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source=pdf_text observed=2026-08-06T23:42:39.787246Z digest=sha256:53ad97871250f5eefe0200233b478424164b8965233e892cb83b344d20c869db

Observation ff304ecb-6229-456a-9f57-fe650cf25fc4 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 12

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source=pdf_text observed=2026-08-06T23:42:39.896114Z digest=sha256:94f5910af35c88e90939d03edfb1e826233443426c70d2fe9c211e1e8ae3c1c3

Observation 190e3b4f-485e-4189-80c1-27120b0fcbb8 · outbound

This paper cites In: International conference on machine learning.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: International conference on machine learning

Reference 13

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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=2026-08-06T23:42:40.096590Z digest=sha256:44867d65d5820431dbf79e0c658a7a806801651b00679166d3f5d69f3a87c2fe

Observation b6ab3f03-9479-4fe9-a079-99a02e47787f · outbound

This paper cites In: European Conference on Computer Vision.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: European Conference on Computer Vision

Reference 14

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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=2026-08-06T23:42:40.255076Z digest=sha256:6545f5280ea0ed59491038e3137a3823daf58c9f17f94a6ff651b0560b917ebc

Observation 6cbea444-5a75-419d-a0aa-fce307d28d7a · outbound

This paper cites AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Reference 15

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source=pdf_text observed=2026-08-06T23:42:40.394893Z digest=sha256:f960980338b899b45cd4a01558683c88cd9ad6518e18e30f44c368610b1fe71a

Observation 982b7b19-af86-4167-9b65-c5b88ab5fb9e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 16

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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=2026-08-06T23:42:40.504823Z digest=sha256:1a588fdd740cd92426d39daa9b65fb7991c9175b594dfc8c11760770e43b930d

Observation e904f8bd-0f34-42c2-893e-6422cd680200 · outbound

This paper cites In: 33rd USENIX Security Symposium (USENIX Security 24).

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: 33rd USENIX Security Symposium (USENIX Security 24)

Reference 17

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source=pdf_text observed=2026-08-06T23:42:40.643737Z digest=sha256:d2116f5b34ca9c6937877e367b3808910a33fed70b6242166ac862958974f8c7

Observation f947fcdf-6ac4-4019-b54a-c4a7f1f57347 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 18

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source=pdf_text observed=2026-08-06T23:42:40.739634Z digest=sha256:167f20f3e3f12534f8df99844db7bafed74ce51cc636eb6ace134da8746afcc6

Observation 79ed48ae-7ca7-4c59-b021-fe15e5a9a1cb · outbound

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

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Reference 19

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source=pdf_text observed=2026-08-06T23:42:40.840053Z digest=sha256:aa7a17509b2863be168f1599e4ad5dca06211213d39f4587a56f1b0ee691bbc0

Observation 68c36517-5c9c-4150-af93-e2a760df8424 · outbound

This paper cites Proceedings of Machine Learning Research235, 35181–35224 (2024).

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Proceedings of Machine Learning Research235, 35181–35224 (2024)

Reference 20

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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=2026-08-06T23:42:40.967020Z digest=sha256:c8a8620721b1d9dd07eebf789fb906761ffed7adc94556eaa3b5801ced9e3493

Observation b4af6ff0-a14e-441c-983f-55d47c155843 · outbound

This paper cites Jailbreaking Attack against Multimodal Large Language Model.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Jailbreaking Attack against Multimodal Large Language Model

Reference 21

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source=pdf_text observed=2026-08-06T23:42:41.206394Z digest=sha256:bea290754401342a10fbf5f32211f5b5ac69797b3728b9e48e8bbd9feb8f289b

Observation 2896ce1f-c4c1-4d4e-aa3f-cb99aedcc184 · outbound

This paper cites https://platform.openai.com/ docs/guides/moderation (2024), accessed: 2024-02-09.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models https://platform.openai.com/ docs/guides/moderation (2024), accessed: 2024-02-09

Reference 22

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

source=pdf_text observed=2026-08-06T23:42:41.294752Z digest=sha256:a9f21431d9251c9dba4ef1cd67e6444777ab9fb785c7caa30ec2ef974745b761

Observation db215771-bb22-4178-8afe-facd88371c62 · outbound

This paper cites https://openai.com/index/ gpt-4-1/ (2025), accessed: 2025-06.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models https://openai.com/index/ gpt-4-1/ (2025), accessed: 2025-06

Reference 23

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

source=pdf_text observed=2026-08-06T23:42:41.417982Z digest=sha256:579f1fc4d4f701e3acf2db8b72a45084b30ca62735a948674eba2f8112c50a0a

Observation 6cd89896-2a5f-442b-896b-2f847f6f69fe · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2023).

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: The Twelfth International Conference on Learning Representations (2023)

Reference 25

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

source=pdf_text observed=2026-08-06T23:42:41.766685Z digest=sha256:1c36d7f6d06f36c81d0ade3377a49d22ec091f450f79952a03faf3d3a7573562

Observation 5ea30eb6-5d5f-4bf6-9d01-dc0b3a1c8436 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 26

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Observation 8a3a3a96-ad71-4c9d-b489-e026c2e90ac6 · outbound

This paper cites an unresolved cited work.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Unresolved cited work

Reference 27

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

source=pdf_text observed=2026-08-06T23:42:42.057341Z digest=sha256:b0f9fe17800e8efe912a730c0b618dbbc54bda710cf5af46a3f53ffa51902051

Observation 81fb3274-f7c0-480e-b65b-cb8f14eb9ac0 · outbound

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

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:42.179391Z digest=sha256:442fd2f90e55e34c629e8e587119a23e3c9596642ccfb7d1eecd2d590cec2dac

Observation e188cac1-90db-4257-90e6-106dfa414d3e · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 29

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source=pdf_text observed=2026-08-06T23:42:42.384833Z digest=sha256:56f1bb720c1daa67a54a19f6cb18d1f7d6404546b059ed97a37ee056d47044f8

Observation c05cc6b6-df0a-4b80-a1be-aba46ecb7652 · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Multime- dia.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: Proceedings of the 32nd ACM International Conference on Multime- dia

Reference 30

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raw_fallback, observed 2026-08-06T23:42:46.649677Z

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=2026-08-06T23:42:42.488866Z digest=sha256:4ee6115420993356ff68c377beda82dcc89bbcdbae4ea052f25827079eefbcc2

Observation f1443ad0-5f48-4817-8693-1e369d10af80 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models CogVLM: Visual Expert for Pretrained Language Models

Reference 31

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source=pdf_text observed=2026-08-06T23:42:42.594752Z digest=sha256:0888861605d5b8ac79aad23916437194d457479b325517985aa280e03153e9a0

Observation 99ec7fa8-3e09-4ae9-8ff6-46491f808e1f · outbound

This paper cites Qwen2 Technical Report.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Qwen2 Technical Report

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:42.674859Z digest=sha256:8024c1589eabb325390f0510118180caf04a7865804bab47b74cccf58e7161fd

Observation ab1fac99-7b25-45e7-aefb-79ca5e1c65eb · outbound

This paper cites A Survey on Multimodal Large Language Models.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models A Survey on Multimodal Large Language Models

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:42.738914Z digest=sha256:fb04124579066b666209a309b137d0446b323a113c0553981a1746b748092cfb

Observation feee3bb0-1f51-4cd0-a73d-c45e8e78c78d · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Low-Resource Languages Jailbreak GPT-4

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:42.798103Z digest=sha256:9a4b2f7ae9650608564378d4afb6d0be4ba73bb12b1afbed375867061c3360f0

Observation 820d8f86-6714-42f3-8fd9-c2763326728f · outbound

This paper cites GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Reference 35

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no resolver link, observed 2026-08-06T23:42:42.971360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:42.971360Z digest=sha256:5d1e539eff936ef30b0ddcfab59656c392e1ab492d51c1c1efdead51e52054de

Observation ad1bbe46-1f26-4f24-96cd-381d9f5f9ab1 · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguis- tics (V olume 1: Long Papers).

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguis- tics (V olume 1: Long Papers)

Reference 36

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raw_fallback, observed 2026-08-06T23:42:46.457553Z

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=2026-08-06T23:42:43.045055Z digest=sha256:4b918d0a6f305f71107bafdc55f3d49a5788a5b5fab3663f4d46b672d02049ae

Observation 8282f364-aaa8-42d3-86a1-11243466b13c · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:43.107250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:43.107250Z digest=sha256:3828b7de3e5242c06b0481460441ea5a8fd96ab221da6765ff89833e697e03e5

Observation f732304b-780e-4793-b2b8-d551cfef81b4 · outbound

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

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:43.172464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:43.172464Z digest=sha256:0263905ad6150a67caff8a25c78e6a019662bcb3a3fadddb18c28baaf6273bd7

Observation 19f92926-8a56-4b08-abb8-150322b8b4cb · outbound

This paper cites an unresolved cited work.

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:42:46.123015Z

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=2026-08-06T23:42:43.269669Z digest=sha256:515b336a2d980a4488c72ed8557585c5ecde18f46906bb19bc897537b890e721

Pith citing papers

No inbound Pith citation observations are available.