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Paper Citation Record · LEDGER

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.07375.

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

pith.paper-citation-record.v1
2607.07375 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T12:55:34.631248Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

65 of 65 outbound references displayed

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  • verified fuzzy38
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b31b67c-0236-4c1c-b506-349a3f354dcd · outbound

This paper cites LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Reference 1

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Observation 7e70cdfa-6b8a-479b-aa8b-5735ed8f5da0 · outbound

This paper cites SIAM NEWS MARCH54 (2021) 1, 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces SIAM NEWS MARCH54 (2021) 1, 3

Reference 2

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Observation aedcfbae-f5ab-4167-ba0f-32e461a4906b · outbound

This paper cites Proceedings of the National Academy of Sciences117(48), 30088–30095 (2020) 1, 3, 5.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Proceedings of the National Academy of Sciences117(48), 30088–30095 (2020) 1, 3, 5

Reference 3

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Observation 42da171d-66bf-4c70-a22c-559ff7e6376e · outbound

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On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Unresolved cited work

Reference 4

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Observation cf292219-7594-4d33-bc45-85751b4b59c9 · outbound

This paper cites Image Hijacks: Adversarial Images can Control Generative Models at Runtime.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Image Hijacks: Adversarial Images can Control Generative Models at Runtime

Reference 5

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Observation 4d8739c5-9a83-4701-ac11-7898ebe2d9be · outbound

This paper cites In: AISTATS.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: AISTATS

Reference 6

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Observation a05f0042-94ae-4919-b8e9-7cbc53455898 · outbound

This paper cites In: 2017 ieee symposium on security and privacy (sp).

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: 2017 ieee symposium on security and privacy (sp)

Reference 7

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Observation 1e4a3bd1-cb13-47cb-8c00-ef7c498526da · outbound

This paper cites In: ICLR (2020) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: ICLR (2020) 3

Reference 8

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Observation 20fbfe27-e7be-4bd4-9625-16775f2b2aa9 · outbound

This paper cites Jacobian Adversarially Regularized Networks for Robustness.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Jacobian Adversarially Regularized Networks for Robustness

Reference 9

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Observation a9c979fc-7928-41da-be35-f15b0f6875a2 · outbound

This paper cites In: International conference on ma- chine learning.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: International conference on ma- chine learning

Reference 10

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Observation e5d41535-d3e3-4054-9c04-3902301370c1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

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Observation 79b35878-25b7-4941-9832-c88326f954bd · outbound

This paper cites In: CVPR.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: CVPR

Reference 12

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Observation 81fcb0aa-cfa2-4775-a5ff-1298bcc2e682 · outbound

This paper cites How Robust is Google's Bard to Adversarial Image Attacks?.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces How Robust is Google's Bard to Adversarial Image Attacks?

Reference 13

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Observation 6f974c00-ff47-4623-bb25-c03a047cadf2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Observation a9f4a38c-58f5-476c-baa6-1fdd501988b2 · outbound

This paper cites On the Connection Between Adversarial Robustness and Saliency Map Interpretability.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Reference 15

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Observation 9e0f1d38-8fd5-4965-a467-b4be47e7a7cb · outbound

This paper cites Machine learning107(3), 481–508 (2018) 1, 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Machine learning107(3), 481–508 (2018) 1, 3

Reference 16

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Observation 39e5577d-2a60-4d1b-b732-988f8a341aab · outbound

This paper cites NeurIPS32(2019) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces NeurIPS32(2019) 3

Reference 17

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Observation 41755700-e896-497a-83a9-0e5f08987a5d · outbound

This paper cites In: Proceed- ings of the IEEE/CVF international conference on computer vision.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceed- ings of the IEEE/CVF international conference on computer vision

Reference 18

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Observation 01726793-2cec-4009-9f34-2f9acb5e0aba · outbound

This paper cites Adversarial Robustness for Visual Grounding of Multimodal Large Language Models.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Adversarial Robustness for Visual Grounding of Multimodal Large Language Models

Reference 19

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Observation 720f61de-d195-4e7f-b8c6-198ec751f9f9 · outbound

This paper cites Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images

Reference 20

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Observation 061193f9-d212-4281-8a9f-13c843293c44 · outbound

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On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Unresolved cited work

Reference 21

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Observation 0ae1e318-dd72-42ef-889d-e433f4816eed · outbound

This paper cites Adversarial Spheres.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Adversarial Spheres

Reference 22

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Observation 48707f1e-558a-4385-95be-94db47b6fd1a · outbound

This paper cites arXiv (2018) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces arXiv (2018) 3

Reference 23

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Observation e2bddd77-1803-47bd-b1d0-108c27c97176 · outbound

This paper cites MIT Press (2016),http: //www.deeplearningbook.org1, 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces MIT Press (2016),http: //www.deeplearningbook.org1, 3

Reference 24

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This paper cites Explaining and Harnessing Adversarial Examples.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Explaining and Harnessing Adversarial Examples

Reference 25

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Observation 774f403a-b104-4e0d-ab0f-d79b465ab86f · outbound

This paper cites SIAM Review67(1), 73–104 (2025) 1, 3, 5.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces SIAM Review67(1), 73–104 (2025) 1, 3, 5

Reference 26

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Observation 5d127da6-82b2-40a4-9d56-a1608b398ac1 · outbound

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On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces NeurIPS30(2017) 3

Reference 27

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Observation 079ba1f9-9b4d-4df9-8836-8c7b97aa3781 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 28

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Observation a6e54152-cfb0-417b-a5bb-b7c100aa4a1a · outbound

This paper cites High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models

Reference 29

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local_arxiv, observed 2026-07-09T12:56:14.827214Z

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Observation a4db84bf-bb23-4b4c-9a93-b790fec8a154 · outbound

This paper cites Advances in neural information processing systems30(2017) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Advances in neural information processing systems30(2017) 3

Reference 30

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Observation 13cbdd6a-3b16-4a5c-a7e6-8371e4291ad6 · outbound

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On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Robust Learning with Jacobian Regularization

Reference 31

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Observation f0bb0ad6-c3f9-4fb2-9a0a-62aed6ad4742 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 32

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Source-reported events for the cited work

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Observation 0fcc2b51-0319-4e9e-989c-789e354b32f6 · outbound

This paper cites an unresolved cited work.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e80e3cfe-9d2a-4b99-b743-13ec7028e19c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fe0573e9-a8ba-486a-bf17-b82004a3b206 · outbound

This paper cites Machine Learning: Science and Tech- nology6(4), 045029 (2025) 5.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Machine Learning: Science and Tech- nology6(4), 045029 (2025) 5

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c9f4db5-6f50-43b7-98d4-e232a0915d03 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the European conference on computer vision (ECCV)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.979691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 02808c47-6ced-4729-bbde-4aaa411a6f22 · outbound

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

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-09T12:56:14.864124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation adf727f0-27c4-4e51-86cd-c42b3239baa0 · outbound

This paper cites On the Geometry of Adversarial Examples.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces On the Geometry of Adversarial Examples

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.810264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:05f3895562abae8e09b93d905654bb7a98525b7b7eae4014a441702c648cbff8

Observation be640dbc-145a-401a-99d1-053ad897da68 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.985935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:2e39b475c4cc5c22983ff038c3ad374b6b35467b931269dc3531555ad5fc6f79

Observation 47e4ebe7-cc70-48d7-871d-ff9e633f656f · outbound

This paper cites arXiv (2021) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces arXiv (2021) 3

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.951239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:6ce3ad4f1147ca489dc01543bdc087b9d28c9e8dd82daf9881d58bb6cae3bd68

Observation a1f7657d-a3be-44cd-a920-8f471fabec1a · outbound

This paper cites In: Text sum- marization branches out.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Text sum- marization branches out

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.945272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 348b07ee-1d4f-49a6-baad-67c03940a221 · outbound

This paper cites In: Forty-third International Conference on Machine Learning (2026) 4.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Forty-third International Conference on Machine Learning (2026) 4

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.966231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e0eea025-3f8b-4381-bcd5-d2504ef88f8c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.989984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6460664e-a09a-4c5a-a2e2-c88e571c3d3e · outbound

This paper cites An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.845099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 334ce52b-1c01-4c5a-b1f2-cff6900e21f5 · outbound

This paper cites Foveation-based Mechanisms Alleviate Adversarial Examples.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Foveation-based Mechanisms Alleviate Adversarial Examples

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.847940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ede80222-f1c4-4e46-8553-02ef4925eced · outbound

This paper cites stat1050, 9 (2017) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces stat1050, 9 (2017) 3

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.977983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:fbaff7cda6433efe7dde77f49dc57f0664dd1cffb1acaee2c962056af1160b80

Observation 453a3e94-0f64-4ea2-8b34-0ddf7ed04cb9 · outbound

This paper cites an unresolved cited work.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-09T12:56:14.974097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d71af674-fb28-4890-b96e-6993bfaf84cd · outbound

This paper cites arXiv (2018) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces arXiv (2018) 3

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.004222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba402519-dc99-46ac-bd27-90a6c7bfa387 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.987833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8eafa44e-32da-4a79-b280-d516da8bd152 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.974286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3f1770a-2c86-4ad6-9257-a70cbdfc497d · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025) 1, 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: Forty-second International Conference on Machine Learning (2025) 1, 3

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.966987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4b88b49c-5433-4009-a11c-8e7506e5c7b0 · outbound

This paper cites Revealing Hidden Vulnerabilities in Autoencoders through Gradient Signal Restoration.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Revealing Hidden Vulnerabilities in Autoencoders through Gradient Signal Restoration

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.856193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7c32ed92-b03f-4634-9416-0bf69548cfae · outbound

This paper cites Axioms 13(8), 535 (2024) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Axioms 13(8), 535 (2024) 3

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.972480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:e2e923786e4ecc6d891ad3b0a23805b4ecd7380faac73aaece27be38181df3ea

Observation 69e0a3ba-9b52-446a-823c-88df79bb6d4e · outbound

This paper cites Adversarial Manipulation of Deep Representations.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Adversarial Manipulation of Deep Representations

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.847758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0a55380e-7511-4fc1-8a4e-3dc1c51db509 · outbound

This paper cites Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.820233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ab4b4869-4dca-4ede-9f98-6afcbd38b1e4 · outbound

This paper cites PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.863144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3eb93c86-80c4-4954-8f68-cbce63111c20 · outbound

This paper cites Intriguing properties of neural networks.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Intriguing properties of neural networks

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.868404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:8a76391a43ca245d7eaedec6eff1d83d05efce54b0ad5db9fb2fe6b620391fef

Observation eb4064be-f06b-4b53-a2da-471ffe63dafe · outbound

This paper cites Advances in neural information pro- cessing systems30(2017) 2.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Advances in neural information pro- cessing systems30(2017) 2

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.003041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:a209c2a092374c06616e555ffcf22469eabc824e2d0ffde33b532cb3868ef004

Observation 0f284b28-3623-4924-8c05-aef837c1d881 · outbound

This paper cites Advances in neural information processing systems31 (2018) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Advances in neural information processing systems31 (2018) 3

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.983739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 00f36b79-cc5c-4338-868a-54753edf2937 · outbound

This paper cites Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.797900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9598d458-b7c3-4974-bb34-2e5614b48348 · outbound

This paper cites arXiv (2019) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces arXiv (2019) 3

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.934855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:229e3f1799573c76e9a6b4edd3886ee0e95c93c1d5583d8ee450f5d253f9c369

Observation 23b445f9-d5de-4116-887b-d3dfef798296 · outbound

This paper cites Advances in Neural Information Processing Systems36, 52936– 52956 (2023) 1, 4, 6, 12.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces Advances in Neural Information Processing Systems36, 52936– 52956 (2023) 1, 4, 6, 12

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.964310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:12796f69f2f83248a79f08fa5de40c49826f8394b577e90086ce033e2bcdc2ed

Observation f51197d8-454b-437b-8bd4-a8b9561ff2e6 · outbound

This paper cites arXiv (2017) 3.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces arXiv (2017) 3

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.975998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:3f62604531c329a222498ea785c8e5adf8425e02928287d1175640f35e64d1e3

Observation 68f9d773-55e8-4174-b080-2cab2e0c03bf · outbound

This paper cites In: International conference on machine learning.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces In: International conference on machine learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:14.952499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:75d1985a59ff4592ff3315f26d5ea41351e13df59d50c9c0494c65cd5d73c2ea

Observation 4676ff1a-100c-4afc-ad00-ff7cc5f80036 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces BERTScore: Evaluating Text Generation with BERT

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-07-09T12:56:14.823704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:458c5d5f132d69bcb6e4c82cbb590b3175f66cfbb568e9f972efce3c547d4f11

Pith citing papers

No inbound Pith citation observations are available.