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Paper Citation Record · LEDGER

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.08317.

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

pith.paper-citation-record.v1
2405.08317 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:26:44.580347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:45:23.788128Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58fd1445-ada6-4d29-b003-a2b68111c62c · inbound

Adversarial Hubness in Multi-Modal Retrieval cites this paper.

Adversarial Hubness in Multi-Modal Retrieval SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:42:39.781764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:5d624e8353b4c47800e9d673e268c9f61f45c1ba795afe973f89f16b774c00c4

Observation b91fc619-5369-4bb0-8f1c-6bf14cb8f9e8 · inbound

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models cites this paper.

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:19.973597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:15:19.973597Z digest=sha256:25458e5d342fa157cee69d389c7a16a9a2a771fb795117dda882483a3ee3ec84

Observation 191be9f1-b320-46ae-a2e4-9baea4bc9b07 · inbound

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff cites this paper.

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T20:09:57.922788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:09:57.922788Z digest=sha256:3cdf687c40d0d0840895c6963a2c9d08fed83736f5b829bc1dd857405c3ec015

Observation 3e7e2417-5084-478c-801e-f567e488f750 · inbound

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection cites this paper.

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.920763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T11:32:10.126062Z digest=sha256:6f0aae0aa18babada3c64d641f2b1726d5960a86faee06955c645aa6e8bfe325

Observation 9e087f15-f133-4f05-b98d-49923324c3b8 · inbound

Codec-Robust Attacks on Audio LLMs cites this paper.

Codec-Robust Attacks on Audio LLMs SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:44:00.711089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T06:43:52.735211Z digest=sha256:3b430f5462d0677a8475bb0f0e0a618b90018740256b6dfa32a2a7d60b8b4eeb

Observation 1323ed4e-6915-4203-9a89-ce29cb0ce60d · inbound

Codec-Robust Attacks on Audio LLMs cites this paper.

Codec-Robust Attacks on Audio LLMs SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:23.792202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:44:46.831360Z digest=sha256:e8b4d7dfc33a7d923b6f66535f07c24b7a9957a83375d27ceda40f7770d11795

Observation bbb387bc-6b2f-4b0b-9082-c36ec866883a · inbound

Never Stop Speaking: a Denial-of-Service Attack on End-to-End Speech Language Models cites this paper.

Never Stop Speaking: a Denial-of-Service Attack on End-to-End Speech Language Models SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T14:26:44.580347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:26:44.580347Z digest=sha256:ec27bb3a287683b454d223a5edbbc0830f9abf2a53e4c5d56cd823690772c4e7