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Paper Citation Record · LEDGER

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking

As of 13 July 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2604.09222.

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

pith.paper-citation-record.v1
2604.09222 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:40:59.993298Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-13T06:30:06.624239+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

56 of 56 outbound references displayed

  • verified exact23
  • verified fuzzy22
  • unresolved0
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34fc2745-f971-4c3e-a472-28cce1449c9e · outbound

This paper cites Bowman, Ethan Perez, Roger B.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Bowman, Ethan Perez, Roger B

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.246732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:5bb0da920653bd37a2badb59a84db8781d679ff9e998d841d5ba48b6845a16c3

Observation 4847c44b-ff66-41e2-938c-f322856f889a · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.290239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:efb09eac57b8058526734d694f6c69b79a69a26f1eb9b18aa1e04e4dabee82ab

Observation 8961e961-c1d3-46dc-a750-ce7cb3eb0671 · outbound

This paper cites Audiojailbreak: Jailbreak attacks against end-to-end large audio-language models.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Audiojailbreak: Jailbreak attacks against end-to-end large audio-language models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.283890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:3fa7cff2e7dd8fee1ae410f4e46492ae915cdfc35233cd55b0cf4aa10f6f55ed

Observation 7cbc6b31-3ea9-42d8-a706-246be6aeef2d · outbound

This paper cites Jailbreak-audiobench: In-depth evaluation and analysis of jailbreak threats for large audio language models.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Jailbreak-audiobench: In-depth evaluation and analysis of jailbreak threats for large audio language models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:21:01.229703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:b1a799bbec847b3b541e83c427c80793be6e0baa6f6b151cd062216ea72d46b8

Observation bf3b4a70-6bbe-4629-b6f1-ec995a4b5e1f · outbound

This paper cites Qwen2-Audio Technical Report.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Qwen2-Audio Technical Report

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:14:45.520303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:b707e308cb6917b9e4875646d242cef59c66de29969cf0a9a41169cec5c259bc

Observation e08b9535-665d-4553-8044-845fa8c8f421 · outbound

This paper cites DeepSeek-V3 Technical Report.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking DeepSeek-V3 Technical Report

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T16:45:37.293866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:ed576bf2024b21b65fc3c8d891e5dd004bf48a937019c0793712ea193034f137

Observation f2331419-f421-470a-bc6c-1aafc43608fe · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.300174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:91492ada9648260b5d8b1eae79f8fc6248a387e4c0f86cbd0d37b6aa25e7f494

Observation 548642e5-77c2-4523-bbcd-f0c4c4c09a21 · outbound

This paper cites VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:08:19.955297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:959bea99ddb94b87c291ffee02cd9566d253db2a2092a58f694f5811fafa4998

Observation a1b178c8-724c-4bfe-b48e-4bcf2c02f008 · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Attacking Large Language Models with Projected Gradient Descent

Reference 9

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T08:21:01.267141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:80d17924e3b59b1d142f228a9cb1c308580ed4a83e9c5e2bd7cb036dd3235d2b

Observation 4deee972-3f32-49b4-9a8d-c89d63c1ff62 · outbound

This paper cites Chen, and AiTi Aw.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Chen, and AiTi Aw

Reference 10

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verified exact
doi, observed 2026-05-10T16:45:37.266375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:10e254b772d5067d71382a933fde280e0d78cb1380098d0a574306f717f26135

Observation f2cd5987-2095-4a21-a416-d63a568b6c85 · outbound

This paper cites D istilling an E nd-to- E nd V oice A ssistant W ithout I nstruction T raining D ata.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking D istilling an E nd-to- E nd V oice A ssistant W ithout I nstruction T raining D ata

Reference 11

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.307791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:a68868a0d7745cf6ee8da63be6e9fe6453624acbe08c128c160b0ab2d8f73afd

Observation 2b180041-03f1-44a9-9fd0-e9d6a1b75a8b · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1161–1173 (2021).https://doi.org/10.1109/TASLP.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1161–1173 (2021).https://doi.org/10.1109/TASLP

Reference 12

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doi_truncated, observed 2026-05-10T16:45:37.296282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:5f0c956482796eb49f191d29f419d061d49cbabde9e76a50a62dfbec7da7ba11

Observation 8304856e-7dc0-44aa-a729-6792fece5ab0 · outbound

This paper cites emnlp-main.1173/.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking emnlp-main.1173/

Reference 13

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verified exact
doi, observed 2026-05-10T16:45:37.302491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:55c613f215d7559672e56bf65173cc272567cbd855c913b3bdc73ce976eeee96

Observation f11751f3-c983-4f42-a786-a8009b5c5023 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author =.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Proceedings of the AAAI Conference on Artificial Intelligence , author =

Reference 14

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verified exact
doi, observed 2026-05-10T16:45:37.286947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:09802f373d1b986012587a2ce000e1ff5ed6c4ffe91ba34395318bc45621bf36

Observation 748a4f51-d459-423a-a7b7-9197d1330821 · outbound

This paper cites Best-of-N Jailbreaking.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Best-of-N Jailbreaking

Reference 15

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T08:21:01.222981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:2bc6ac8af198a0065ce954f824189192bf6231254b0912fed669f2ba9de84a94

Observation b6274d30-acc6-49dc-be79-3d3cc1fb43e3 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 16

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local_arxiv, observed 2026-05-11T08:21:01.256310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:fea48768fcaead4a26c6d65ff0082a75228f1199296ddf5b2831c0708ce4301f

Observation 97d494bb-bbd5-454e-8ad8-63d0adcafba3 · outbound

This paper cites Almguard: Safety shortcuts and where to find them as guardrails for audio-language models.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Almguard: Safety shortcuts and where to find them as guardrails for audio-language models

Reference 17

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arxiv_id, observed 2026-05-10T16:45:37.290486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:f63b6a02c1eb524da2155b04862ef402b4cf084769a4164f390cd48b38b00345

Observation afbba693-f6b7-457b-81af-1b32ff982171 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 18

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verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.243060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:7f265a776e358a27d65f8f668efc2046ad934dd76643dab20cf28daa6e2eaf6f

Observation b9d359f0-adfc-49dc-b59a-a20e921561b6 · outbound

This paper cites Stylebreak: Revealing alignment vulnerabilities in large audio-language models via style-aware audio jailbreak.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Stylebreak: Revealing alignment vulnerabilities in large audio-language models via style-aware audio jailbreak

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.305877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:354c18ebf6b0533cb6364ac897fccb35721d9c7044f1155b8668f07908f4ea11

Observation ea948e48-e2c2-4d38-9e5a-ae5fe9956238 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 20

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verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.275361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:e4ac7fa1257ba4b0c82f8e18243f83bbb2db015f531f9f8900979abbe7a8a62a

Observation e22a3af5-60ec-448e-a8aa-aea5b133f8f6 · outbound

This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:37:07.279605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:e884c6ea9dbee67e401907cd9e70f9866287a94d2b4c627ebae1735d9136420a

Observation 71c094ee-2fa9-4f4c-a797-975247b851b1 · outbound

This paper cites Hidden in the noise: Unveil- ing backdoors in audio llms alignment through latent acoustic pattern triggers.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Hidden in the noise: Unveil- ing backdoors in audio llms alignment through latent acoustic pattern triggers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.272661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:fc566a12b4aecf340d400bf0294a8e1b371a49c5dc6e50ca23fba6c4728f6cdf

Observation dbf34dfb-3ebe-4dd4-96e8-69638bd4c24c · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 23

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raw_fallback, observed 2026-05-17T14:04:44.267171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:9937b8bf15f472ebfcc6c7fd82912d62e2fa375cb2777f10f0be26301b958cfb

Observation fd072d72-5921-42dd-babf-d9f44dc20b66 · outbound

This paper cites GPT-4o System Card.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking GPT-4o System Card

Reference 24

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metadata mismatch
local_arxiv, observed 2026-05-10T16:45:37.275572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:2ce609e007acc113c951cd60d140eb458381ba3abf5d59588e6249d9682268ac

Observation cbbebb98-7f96-472a-ac25-2e25d0fb0005 · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Librispeech: An asr corpus based on public domain audio books

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:21:01.235680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:c15c62f018d05c33a7c40a449ddab05f05acdbbe21d041bf66ddddc2eb575d56

Observation 2cbbe9e3-4cdb-4cf7-a0e2-0c60c4557c8c · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 26

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raw_fallback, observed 2026-05-17T14:04:44.272625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:73b662c1ae721c938ee5031f921f59a5a96eb462b979a539ed41a40d51b7aaf9

Observation 8ee5c25c-c76a-4ff9-aa06-9f0b78a2ce11 · outbound

This paper cites AceReason-Nemotron: Advancing math and code reasoning through reinforcement learning.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking AceReason-Nemotron: Advancing math and code reasoning through reinforcement learning

Reference 27

Resolution
metadata mismatch
doi, observed 2026-05-10T16:45:37.318675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:0780a66d1a96aa9971330fa4bcfd3100d55b6a6961c3cf28cd7e81d2f0831d27

Observation 010d6c83-7b93-449f-8d7e-15045e34eac6 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.249348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:a7c13b1c4dca74a237f24e7dfe034b175b8edccb8eea77ee6e2a7cc1153c4544

Observation 4362face-5bed-465d-b259-41e07951cfe8 · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:07:57.965390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:d4225bd662f9fe4bffc6ac250ab873b7fc4cb604826282d39052d5e5cbcd10b8

Observation b99f7a2c-44fe-47d7-a045-759457154ac2 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 30

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raw_fallback, observed 2026-05-17T14:04:44.296015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:b2a8c459987b7b45201c13a899246e817df4d6c3c2801887134d32474ba9b946

Observation 135ab9c6-1d64-4db8-ba31-f001a7981ee2 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 31

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metadata mismatch
local_arxiv, observed 2026-05-10T16:45:37.328010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:eae7e502523d2eb9af5d0e57e42d9ff4e44879e6d13fb458422e56b59e574ec8

Observation c331c205-d46c-4ad1-be15-17bd61d966a0 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 32

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raw_fallback, observed 2026-05-17T14:04:44.261700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:747f78f90c441634500873fe8dc543887289b0362f0a48472433b13c58f5d86a

Observation 3d58642f-7d0f-43f0-9c67-768094314bbb · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.340698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:6f413b05e635c4d016bbeb61157709f994e31c5b6954edddb47375b3d03a750b

Observation 37f18350-fe6a-4fff-8698-3a23c0027b10 · outbound

This paper cites GradSafe: Detecting Jailbreak Prompts for LLMs via Safety -Critical Gradient Analysis.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking GradSafe: Detecting Jailbreak Prompts for LLMs via Safety -Critical Gradient Analysis

Reference 34

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.316228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:8c8bf4330629275ac6937fe57ece95e5da6148f946a2d9340be7a4dc4b49ede4

Observation 9cfb70fd-0982-4d23-a429-c3a29f5d0115 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 35

Resolution
malformed identifier
doi_truncated, observed 2026-05-10T16:45:37.336665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:14a077d6fe108f0a73619ff443ae1e87173c0ca144044aa2b99ad766eea5db99

Observation d845f64b-3034-4f2d-a0ca-c25d8366b9cd · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.351724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:9037ada24079b9744d1fca9c1f2fcc264fa7ca5b821ce465e120c9b5cd931ffb

Observation f3db1a5b-648c-400d-a6bf-a55d3317f673 · outbound

This paper cites Qwen2.5-Omni Technical Report.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Qwen2.5-Omni Technical Report

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:54:03.470513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:8feae8f774b939414d2f2d1299030b3c0efb435341a9f410e8548bb1cf8b27dd

Observation 08f3c984-5afb-4c70-8c22-60476aa0f111 · outbound

This paper cites Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.333870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:20b389305faf657d2bf93b908ebab622090694a60f2094f2c338ed573bb06c33

Observation f53e8cd3-2e4f-4ed8-8320-6eb4534c0b3b · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.324729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:9f07f3c7660f27bd8f38ba8af8bc68fbea75adf08c3a1d83525908dbd9740787

Observation c38563e6-9807-4dbd-be39-8bcedad91973 · outbound

This paper cites Proceedings of the 62nd.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Proceedings of the 62nd

Reference 40

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.330275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:93b4a37040f16b7d2b07362229f9db7c7cda95fa6e65e112217ccd6a1915a73f

Observation ef66c270-e501-472a-aed7-24e6d05efed4 · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:53:47.697648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:74f5718c1c952845853c13a676e6eacd1389feb27e248b096e85137401f4a8c3

Observation 2a98d790-4e2e-4fd7-b51d-81ed1ae5149a · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.264511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:62d8c558d498c00770ce5864727b708013b7dca37ad743e23e49d83b11f50006

Observation 5f6add92-9201-4467-b48b-c646427f9578 · outbound

This paper cites URLhttps://openreview.net/pdf?id=WE_vluYUL-X.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking URLhttps://openreview.net/pdf?id=WE_vluYUL-X

Reference 43

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.347378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:7423448bea6223c863802e87c919e3cf61cd46629af895966f3b2ab160936019

Observation 5510fd44-6c4f-4530-ab28-d982ba1e77e9 · outbound

This paper cites Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Xin Zhao, and Ji-Rong Wen.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Xin Zhao, and Ji-Rong Wen

Reference 44

Resolution
verified exact
doi, observed 2026-05-10T16:45:37.310801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:fbf6254e1cd02dfafb1ecc0eaf2b9e2bc59426694fffd8336c90337b41d42152

Observation 8c673c07-7575-4be1-a5e0-9952b25bdf76 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.255432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:9b1898209981b6f0b09b33f0d030e27c6777e8cdb04d5e875515bc427edcb66b

Observation ab837eb8-f766-4b82-8159-e868b9a4737e · outbound

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

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-10T16:45:37.322263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:1a12eba385ceba4294c742c44ac3db7d94fd06adc862ec0b90adf8950af9f646

Observation 20447dea-e55d-4039-ab10-5e02ae0bf513 · outbound

This paper cites This could include personal information such as name, email address, phone number, location data, or other sensitive information.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking This could include personal information such as name, email address, phone number, location data, or other sensitive information

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.269972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:b6a69ad9df80adefe4f5d0bcfe48d8468a4edf12a2c265c8bed33bf215c0d3f4

Observation 4aff3b22-5151-463b-bc00-0bbb04e847b6 · outbound

This paper cites This could involve using encryption techniques to protect the data from unauthorized access or storing the data on secure servers.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking This could involve using encryption techniques to protect the data from unauthorized access or storing the data on secure servers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.287595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:28f0779abf741eb7a5aecfccab0a851c0de96f328f0d961ad3583ccecee942f5

Observation 8a46c33e-0a1d-4723-8321-e77a24f280c8 · outbound

This paper cites an unresolved cited work.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Unresolved cited work

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.278251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:853e3132b864faf5fe14be4d0ba42f0f3d1adeb3382accd64c4d81e3d20f2c4a

Observation 24e8f7e8-85d5-4528-9b3a-3f1e8ee43339 · outbound

This paper cites This could involve using SS- L/TLS encryption to encrypt the data before it is transmitted over the internet.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking This could involve using SS- L/TLS encryption to encrypt the data before it is transmitted over the internet

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.240666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:e1837594a1a1c002d3ba12c436338bf4f31b963daefb18167c28b4ebbeef1d72

Observation 79b764a5-1923-4475-940c-dc5e89f7aac9 · outbound

This paper cites This could involve conducting penetration testing to identify potential vulnerabilities and weaknesses in the app’s security measures.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking This could involve conducting penetration testing to identify potential vulnerabilities and weaknesses in the app’s security measures

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.252360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:b1de6478202cdf1e0a10fd37d0097aadc84a9ae730f2413f80692750a61b8024

Observation b8a4ff5f-5632-429e-9711-7a261e382482 · outbound

This paper cites In this case, the user has asked for a recipe for white rice with vegetables.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking In this case, the user has asked for a recipe for white rice with vegetables

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.306450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:6b6fa28adf5005b16fc6e96f71c97c4a436fe719931e5a277b7ce988b7316534

Observation d6699700-9ccd-4eb0-903f-70adfe1f0cea · outbound

This paper cites For white rice with vegetables, you will need white rice, a variety of vegetables (such as carrots, onions, peppers, and mushrooms), oil, salt, and any other seasonings you prefer.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking For white rice with vegetables, you will need white rice, a variety of vegetables (such as carrots, onions, peppers, and mushrooms), oil, salt, and any other seasonings you prefer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.258599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:45dbc8f83be5cc56510d0fbcf0a31dde842d24dc4ab3f986d11ece2c3eac0584

Observation fd91a702-b386-4de4-b814-efc785e3892c · outbound

This paper cites This helps remove any dirt or debris that may be present in the rice.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking This helps remove any dirt or debris that may be present in the rice

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.281161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:f47fbdbdbe2223b9653cf4274537e5ead02c55057c1091ed68268ac9879b83f7

Observation 7ed1605b-69e7-454e-8b84-06452f14b6c4 · outbound

This paper cites Once the oil is hot, add the chopped vegetables to the pan and cook them until they are tender and slightly browned.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Once the oil is hot, add the chopped vegetables to the pan and cook them until they are tender and slightly browned

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.293174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:1cdce6664558a6a9677e9c2b6cb2f90443b340ae5fa42a1b0dc05689067cd982

Observation 0b3b20f2-99b9-4818-b038-1961cdcf7feb · outbound

This paper cites Season the mixture with salt and any other desired seasonings.

GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking Season the mixture with salt and any other desired seasonings

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:04:44.283903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T16:40:59.993298Z digest=sha256:16a3c9fd68fa68b47d89626dee15848b6e8ba8c064b27d565f422892c5bfb677

Pith citing papers

No inbound Pith citation observations are available.