Paper Citation Record · LEDGER

On Evaluating Adversarial Robustness of Large Vision-Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.16934.

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

pith.paper-citation-record.v1
2305.16934 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:56.073322Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

34
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7442ff59-8a58-4ba6-bee4-88fd924ebde8 · inbound

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models cites this paper.

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:25:34.436669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb4cc318-4996-4b55-900f-58425f4d006e · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 210

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:56:42.252119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 30e9df8f-a65d-4564-a533-ea4f7e275d56 · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:11:33.995274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a3186e4-6543-4af0-b472-adabcc4c5372 · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:37:41.779305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b088cfe2-7099-4481-9238-10f15653e530 · inbound

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment cites this paper.

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:56.073322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9546250-14fd-4632-86b1-3034e8ad0d68 · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:35.513830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0038e15b-b7a1-4c4b-aaf9-f509da3a0e09 · inbound

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations cites this paper.

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 44

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:07:15.240988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cda584ab-df6f-45e8-aea3-9c6bf1b0c536 · inbound

Adversarial Video Promotion Against Text-to-Video Retrieval cites this paper.

Adversarial Video Promotion Against Text-to-Video Retrieval On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:06:55.161030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc3e027f-41fb-48fd-8285-5f1fd1a19a74 · inbound

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models cites this paper.

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:27.722293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ddc1d4-7a33-4d9e-9245-0a1b1ecf9675 · inbound

XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs cites this paper.

XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T05:42:17.709405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf39a73-3632-4b4d-aebc-c712808bb424 · inbound

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation cites this paper.

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:10:26.155596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd69c92f-9e38-4a83-bf85-7cb92161c1c1 · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-06-26T04:38:59.172985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd6f487a-47b5-48d9-bf04-b42e8b7fbe16 · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation On Evaluating Adversarial Robustness of Large Vision-Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:41.576996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.