Paper Citation Record · LEDGER

Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.19287.

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

pith.paper-citation-record.v1
2404.19287 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:01.363663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.107852Z

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 c45f3868-043e-4b3e-98c7-f58623422f7e · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 243

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:34.230016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9b58612-b4bb-4b69-a49d-d0ceda8543f4 · inbound

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization cites this paper.

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:01.363663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9c31f9-b857-487a-bd06-383e5ae4aa40 · inbound

Dual-Path Stable Soft Prompt Generation for Domain Generalization cites this paper.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.741589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48fb0b46-4211-47e3-ade7-8dedcfe9dfa8 · inbound

Coordinated Robustness Evaluation Framework for Vision-Language Models cites this paper.

Coordinated Robustness Evaluation Framework for Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:49.610244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cdb1c89-ffa7-413e-98b4-26347ee70ee5 · inbound

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling cites this paper.

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:50.267956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3863703-51e5-41df-9d6c-1d1c333341cb · inbound

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:54:43.081752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460e04dd-8b0b-4288-91bb-5d1f87039018 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:26:33.883060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7178a73d-70d6-497f-a870-60ef53d4a74a · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:30:39.418151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25df41f2-ed47-49fe-b0ad-c51c755b6b34 · inbound

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP cites this paper.

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T07:47:37.588939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537782d0-b461-44ba-a0c9-ee9e00e5ff48 · inbound

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models cites this paper.

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:48:11.625968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 361705f3-d9fa-4e77-a6f4-173ccdcbdf28 · inbound

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models cites this paper.

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T16:52:02.261328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca664a2a-660c-4bd0-8455-5fd486f25e56 · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:27.931230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef32f8f9-1cf9-435e-9468-f114b735f816 · inbound

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models cites this paper.

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:23:21.496636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e9b3f9d-0f8a-47cf-ae78-e3f053369026 · inbound

JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models cites this paper.

JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:28.109593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.