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Paper Citation Record · LEDGER

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2411.14842.

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

pith.paper-citation-record.v1
2411.14842 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:53:50.291447Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:53.614645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:01:24.303798Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba5d5b06-610e-45d7-b0b0-45b07683fe57 · outbound

This paper cites online" 'onlinestring :=.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models online" 'onlinestring :=

Reference 1

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unresolved
no resolver link, observed 2026-08-12T14:53:50.181090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.181090Z digest=sha256:b0c6d182091a9b2da2f3ea7ea0889789317d4280daa5df36b25b2625a2d8244a

Observation 10b626ae-cc60-4653-99b9-08db4fc775d5 · outbound

This paper cites write newline.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models write newline

Reference 2

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no resolver link, observed 2026-08-12T14:53:50.184464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.184464Z digest=sha256:928cb1916dee0e5a261642e9a278c9ef2593b5c1eb08516fa6ca3a675c0ae253

Observation 03958182-a0ae-4e07-9242-fe66ca3dda32 · outbound

This paper cites https://mindgard.ai/resources/audio-based-jailbreak-attacks-on-multi-modal-llms?hs_amp=true Audio-based jailbreak attacks on multi-modal llms.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models https://mindgard.ai/resources/audio-based-jailbreak-attacks-on-multi-modal-llms?hs_amp=true Audio-based jailbreak attacks on multi-modal llms

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:53:50.562562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.187536Z digest=sha256:ea0a2d042158929d887977fbf33e94b0fe0acfb26b2143bb8fb2228c193d2fa6

Observation 648746cc-f3a7-46ef-b7e1-a66bf1f98a50 · outbound

This paper cites GPT-4 Technical Report.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models GPT-4 Technical Report

Reference 4

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unresolved
no resolver link, observed 2026-08-12T14:53:50.190254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.190254Z digest=sha256:5e13f6f75ad7a85f0817536f5d4711ca15bb581814642e5666b98a967b4756ca

Observation cc86c316-5d8f-44fe-a60a-5e5e3d4e7047 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Common Voice: A Massively-Multilingual Speech Corpus

Reference 5

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unresolved
no resolver link, observed 2026-08-12T14:53:50.193004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.193004Z digest=sha256:5a37739d3ce8745c1c862d21dde0c457ebe137b106e1f1c37e129fbe4cb213fb

Observation 37f13612-8d29-464a-83c4-2f0d060d96c6 · outbound

This paper cites AudioLM: a Language Modeling Approach to Audio Generation.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models AudioLM: a Language Modeling Approach to Audio Generation

Reference 6

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no resolver link, observed 2026-08-12T14:53:50.195710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.195710Z digest=sha256:a5ce4b92f47ac68daa77678df4c9351a59b043700d32b633dd810ea75f34ed48

Observation 96eff583-1f1d-48ee-b94c-d9ee0a3e4208 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-12T14:53:50.555001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.198493Z digest=sha256:6e456f213c7744ceba7a3da5270b6262da3f1c767ff849aac96dc3831e815639

Observation fcf0152e-b1f2-4192-95ba-797a2a41b387 · outbound

This paper cites X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Reference 8

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no resolver link, observed 2026-08-12T14:53:50.200951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.200951Z digest=sha256:73a300b7c6c21419cec4b844fa6fb20181ddecb0b9a7746e56b6d0724968e4e9

Observation d0cc565e-8671-4409-8d88-c0eef7461e5c · outbound

This paper cites Qwen2-Audio Technical Report.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Qwen2-Audio Technical Report

Reference 9

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unresolved
no resolver link, observed 2026-08-12T14:53:50.203848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.203848Z digest=sha256:87e9adc7716577cb288a21e4b7c40efdef718903b137b5b8568e5abf859e6020

Observation b9dd0ca6-42d6-4fdf-8f04-b1419870419b · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-12T14:53:50.206384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.206384Z digest=sha256:dba809bce39ca7b7e86e1355e1263a374530c7eb3aa34efae752a7388d12a2d6

Observation 627023ff-a988-4368-a316-a63aa45e0422 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-12T14:53:50.209199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.209199Z digest=sha256:5076dc1d687b334ea9cbdec4e3b572e244fc26cba7d5d150cce06c6199de0bfd

Observation 486790f9-0b5a-40f8-afbc-20ba81c3b34b · outbound

This paper cites Crafting Adversarial Examples For Speech Paralinguistics Applications.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Crafting Adversarial Examples For Speech Paralinguistics Applications

Reference 12

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unresolved
no resolver link, observed 2026-08-12T14:53:50.211503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.211503Z digest=sha256:acfbbc1734ca2c201f42d48d757aa52c355ee820cd902f050e4fd6009da2dd43

Observation a7406b9c-ca49-476d-83c2-231ae9e05159 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Explaining and Harnessing Adversarial Examples

Reference 13

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unresolved
no resolver link, observed 2026-08-12T14:53:50.214015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.214015Z digest=sha256:a63f1354d5f645ef30a8bff3fd89e4b90037b784df5350d8ae05c23ef7a635df

Observation 477936b0-7483-4144-a6dc-0903cd6b9dd3 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-12T14:53:50.216630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.216630Z digest=sha256:b4a5cc3c28c9f8a9b13cd9542dea6c5991200857515ba515150700e68d7c6253

Observation bc1c7d80-3e03-47e2-815f-e82673e8cd43 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-12T14:53:50.539989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.218844Z digest=sha256:81fe59972f127915051f06423fbbb96665655b24a8b0cf49c32b96880ff0e3e9

Observation 42422993-fcd3-4c08-b84e-3dd72e361457 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-12T14:53:50.531981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.221167Z digest=sha256:4bb2da6c1445581c9a1b5cad8288831762516e196f4eeeb2436fccfca7a4cf4e

Observation 222b03e1-8048-4644-bdb2-827943b144b8 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-12T14:53:50.223514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.223514Z digest=sha256:28df8ffdaf80c81beade4df1aa3b3b34db8720822f4cab8555cd4d4ad02359c0

Observation 60bab187-7eec-47aa-bbee-82ed448c3745 · outbound

This paper cites Practical Attacks on Voice Spoofing Countermeasures.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Practical Attacks on Voice Spoofing Countermeasures

Reference 18

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verified exact
local_arxiv, observed 2026-08-12T14:53:50.378095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.225865Z digest=sha256:e59b0df7b2a53de703f24054df41a99665faa9d9c29ab8b993a518862f07152a

Observation 11b5b3a4-84e1-4dd1-b689-04f7dd265e23 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-12T14:53:50.519528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.228627Z digest=sha256:9d6053eedb31215079943542c9c1170fa8016f1b6c5ed03d56d47fbc28a1a772

Observation 7795793c-73df-4ed6-80c1-8a583cd36271 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-12T14:53:50.512298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.230799Z digest=sha256:cf48d258dc273e07bb60caa23d4741a3b11fbecf58a5902797fb9a17840347b1

Observation e0bb5fff-4783-4c6e-a3a4-eda8094b08b7 · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models o pf, Yannic Kilcher, Dimitri von R \

Reference 21

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unresolved
no resolver link, observed 2026-08-12T14:53:50.233179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43218a79-3d53-46e9-8701-1f2bce8624e5 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-12T14:53:50.235548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.235548Z digest=sha256:d4cedcff5241c05f9801adc7e251dd77b45723e8b38d8173dc6317f77f439cb5

Observation 38bf092c-26d5-4826-bb45-b7eb49dcc8c1 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 23

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unresolved
no resolver link, observed 2026-08-12T14:53:50.237798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.237798Z digest=sha256:8c39d173f50aac76abef078ff224211e1080dc9e9a75f532e4668cda45d2540c

Observation f25f35c9-0600-405d-854c-58c93ff06b6e · outbound

This paper cites TVQA: Localized, Compositional Video Question Answering.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models TVQA: Localized, Compositional Video Question Answering

Reference 24

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unresolved
no resolver link, observed 2026-08-12T14:53:50.240142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.240142Z digest=sha256:8fe202015d0fe48a0904f585a3ac22f4f15a0c5242a13cecd1bb0031cd8e8968

Observation 3d40e55a-6c83-4881-bc8c-648778f03a46 · outbound

This paper cites BERT-ATTACK: Adversarial Attack Against BERT Using BERT.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Reference 25

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unresolved
no resolver link, observed 2026-08-12T14:53:50.242789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.242789Z digest=sha256:b2507909e19d290373116c93578aa6f9bc65ec1af53b6c23acc402f09f4fb416

Observation bd491c59-430d-4cb9-acc9-46c016f2f114 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-12T14:53:50.245376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.245376Z digest=sha256:8b0f2adb19558f54f3748c1673cd33d9969aadc2825bc13b8ff778523ce725e2

Observation dfa25e81-5557-42c7-b925-8def239575c5 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.490297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.247705Z digest=sha256:df94db872325e7bd4f4db2a6f6030f6839197cf92eb094e9b1e985b2b2612ce3

Observation f2dfba72-681a-42a7-9238-80a840cd5757 · outbound

This paper cites Universal Adversarial Perturbations for Speech Recognition Systems.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Universal Adversarial Perturbations for Speech Recognition Systems

Reference 28

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unresolved
no resolver link, observed 2026-08-12T14:53:50.250123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.250123Z digest=sha256:bd0073c06ea4d6550f366fffcecbcc0005d58acaa339d824beeae51a7fbc49b5

Observation b11c9d48-3d80-42e9-93a1-58213be636e4 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.482953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.252728Z digest=sha256:2cc559ef376766bc6351fa24f70a629b85e77e98417f88b40e5b7931f9239cc6

Observation f9366436-e76f-4f1f-8760-ae3355f798c9 · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 30

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unresolved
no resolver link, observed 2026-08-12T14:53:50.255144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.255144Z digest=sha256:1f5037c24e69fe2f165e4bebe92a402bde27ea1f44fe1a50d5265542ceff0515

Observation d719191c-745e-40de-9674-334d7756c878 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 31

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unresolved
no resolver link, observed 2026-08-12T14:53:50.257739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.257739Z digest=sha256:009ec2002141ffc4ad1efd46e6fb93630cf21827a37b2821c224eedf558d754f

Observation e29aff72-4f58-4383-a4eb-300dc7d3922f · outbound

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

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 32

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unresolved
no resolver link, observed 2026-08-12T14:53:50.260054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.260054Z digest=sha256:943f5c34d07ed6dff98bdb6646f530e752d75b43bf7fb5cc9e91f11e9b236961

Observation 28da6201-a48e-4fca-b5d3-aa3929698ff2 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:53:50.262421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.262421Z digest=sha256:b39b030809e2fbd45710778aaf5558b848c9506ce3b5c00915fd434d269ef859

Observation 6563df85-7341-406a-860c-5133be0ec1cd · outbound

This paper cites Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 34

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unresolved
no resolver link, observed 2026-08-12T14:53:50.264719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.264719Z digest=sha256:1fe65a16c62a3645121d9e70b7cd3e6bd838a60361207e5c9390fe3c89d957a0

Observation 0d80c757-b79b-4f3a-80e6-be0e7c0472e9 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.467619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T14:53:50.267548Z digest=sha256:80f17d6cb5f324d81cf0c2d943327a624ca8fba62b2740d1641a2181a1392989

Observation eb30e7a8-8cb1-4b0d-aebd-af82e3ce047a · outbound

This paper cites Intriguing properties of neural networks.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Intriguing properties of neural networks

Reference 36

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unresolved
no resolver link, observed 2026-08-12T14:53:50.269950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.269950Z digest=sha256:bf908adf0f22e2562a064cd64bab47c15250ce3f443a2f47cfc8847dddade5d6

Observation 8e68ac8a-b0bc-4e98-8101-4533f3045b4e · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 37

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unresolved
no resolver link, observed 2026-08-12T14:53:50.272249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34cbb73a-4218-4fa6-bdb3-3f9828aa8201 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 38

Resolution
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raw_fallback, observed 2026-08-12T14:53:50.460451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9973a1e1-1a7e-4873-b5cd-f824c26b7f68 · outbound

This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T14:53:50.277008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dcf30d46-b378-44b1-b844-e9e79cd55611 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:53:50.279212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2845429d-25e5-4aa7-a5da-d30a9c8155a6 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.449323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 24ad5ad3-8b5a-4d78-804e-b78ca199ed99 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.441791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a6fc6891-7878-449c-ad9a-34aa68a21cc8 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T14:53:50.286582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4dc5f1dd-5a8f-4ef7-ad56-ec30331b9091 · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:53:50.434539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 39a28f5e-ad5d-4226-9991-0e9a31096deb · outbound

This paper cites an unresolved cited work.

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T14:53:50.291447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:53:50.291447Z digest=sha256:f687f0589ee3d83b85c011f18a157bc9af298ec219658409c4ee97f58516c329

Pith citing papers

Observation 5fc71e28-71a2-4d99-8525-194bb4fceb9a · inbound

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models cites this paper.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:53.614645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7cf92bd0-5ea8-4629-95ae-e39e65d899e1 · inbound

StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs cites this paper.

StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:01:24.305685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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