UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models | Paper Citation Record

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This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning , volume =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning , volume =

Reference 1

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model , series =

Reference 2

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This paper cites Accelerating 3D Deep Learning with PyTorch3D.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Accelerating 3D Deep Learning with PyTorch3D

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of The 7th Conference on Robot Learning , pages =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Technical Report, Tech

Reference 5

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Conference on robot learning , pages =

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This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 7

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =

Reference 8

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This paper cites RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 9

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE conference on computer vision and pattern recognition , pages =

Reference 10

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF international conference on computer vision , pages =

Reference 11

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Seminal graphics: pioneering efforts that shaped the field , pages =

Reference 12

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE conference on computer vision and pattern recognition , pages =

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This paper cites IEEE transactions on pattern analysis and machine intelligence , volume =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE transactions on pattern analysis and machine intelligence , volume =

Reference 14

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =

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This paper cites Proceedings of the 2016 acm sigsac conference on computer and communications security , pages =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the 2016 acm sigsac conference on computer and communications security , pages =

Reference 16

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE Access , volume =

Reference 17

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International conference on machine learning , pages =

Reference 18

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This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence , volume =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE Transactions on Emerging Topics in Computational Intelligence , volume =

Reference 19

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This paper cites International Conference on Learning Representations , year =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International Conference on Learning Representations , year =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International conference on machine learning , pages =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 22

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models First Workshop on Vision-Language Models for Navigation and Manipulation at ICRA 2024 , year =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE Robotics and Automation Letters , year =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Robotics: Science and Systems , year =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages =

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models What Matters in Building Vision-Language-Action Models for Generalist Robots

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International Conference on Machine Learning , pages=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models The International Journal of Robotics Research , pages=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF international conference on computer vision , pages=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International Conference on Learning Representations , year=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International Conference on Learning Representations , year=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE Transactions on Information Forensics and Security , year=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models 2nd International Conference on Learning Representations, ICLR 2014 , year=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XVII 16 , pages=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF international conference on computer vision , pages=

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models on quaternions; or on a new system of imaginaries in algebra , author=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.734589Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 273b51dc-11eb-4f5d-b542-87c925306c3c · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.713066Z

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Observation 7fdebef3-9c92-43bb-87d8-4db61f058e2e · outbound

This paper cites International Conference on Machine Learning , pages=.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International Conference on Machine Learning , pages=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.689720Z

Source-reported events for the cited work

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Observation 25f7b53c-0d48-4a8f-a675-cb77f86e5387 · outbound

This paper cites International conference on machine learning , pages=.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models International conference on machine learning , pages=

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.658300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f83a012-e315-4f2a-bfc5-b282726728c0 · outbound

This paper cites Soft rasterizer: a differentiable renderer for image-based.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Soft rasterizer: a differentiable renderer for image-based

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.627835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a444f9f-ffb6-45a4-8444-1cb6f315773f · outbound

This paper cites IEEE Journal on Robotics and Automation , volume=.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models IEEE Journal on Robotics and Automation , volume=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.599899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3efbdcbf-72bf-4765-a356-89bf9978312d · outbound

This paper cites 1955 , publisher=.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models 1955 , publisher=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.576585Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 880194ba-2ff3-4080-8a6d-fd1d4f5432a5 · outbound

This paper cites Robotics: Science and Systems , year =.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Robotics: Science and Systems , year =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.557381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea1367a5-8432-41e3-9c0e-8f37db58d6b4 · outbound

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Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.528202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5401573-1d39-4713-ad2b-d62b865dd3c4 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.744844Z

Source-reported events for the cited work

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Observation a221bde4-ac98-44ff-8053-018d6c67d66d · outbound

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Gemini Robotics: Bringing AI into the Physical World

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.751254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9bde8f3-e01d-4422-a3bc-34fe8f5d47be · outbound

This paper cites an unresolved cited work.

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Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.493977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29897aed-7820-4f11-9efb-ab4c85ffe4b3 · outbound

This paper cites an unresolved cited work.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.459653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95db10d5-0e8e-4743-a01a-ff6d6ecdaee9 · outbound

This paper cites Adversarial Attacks on Robotic Vision Language Action Models.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.770792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5e601c-7f8a-4286-855b-52ab87d66ff3 · outbound

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.781272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f931d95-90e6-4bc4-9188-f2d2ddecb2c3 · outbound

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UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models arXiv preprint arXiv:2409.13174 , year =

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:44.789214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 189d2068-eeaa-4b1d-8181-5af2d191b511 · outbound

This paper cites Phantom Menace: Exploring and Enhancing the Robustness of.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Phantom Menace: Exploring and Enhancing the Robustness of

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:45:45.428912Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8221df11-2b34-46f1-9f98-669fafefac20 · outbound

This paper cites an unresolved cited work.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.405040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 106e123c-982c-4e72-8568-fcc48a3022ac · outbound

This paper cites an unresolved cited work.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.381491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a57ff153-82ac-4b21-b7a5-48ffd3eeb68a · outbound

This paper cites an unresolved cited work.

UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:45:45.349691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers