Pith. sign in

Paper Citation Record · LEDGER

Adversarial Attacks on Robotic Vision Language Action Models

As of 8 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 18 inbound Pith citation observations for arXiv:2506.03350.

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

pith.paper-citation-record.v1
2506.03350 v1

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:11:40.585654Z

measured 113 of 113 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:38:15.328733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:18:33.813982Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved80
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2638f25-9f56-45b6-b855-3f8482c90f3b · outbound

This paper cites Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks.

Adversarial Attacks on Robotic Vision Language Action Models Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.260798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.260798Z digest=sha256:4a0e90f28f0243db84f5e412888b4910331b0d4aa697112c71d749337aaf557d

Observation 0ed4bea1-ba5d-466b-8b89-6155f1232930 · outbound

This paper cites General-purpose foundation models for increased autonomy in robot-assisted surgery.Nature Machine Intelligence, pages 1–9, 2024.

Adversarial Attacks on Robotic Vision Language Action Models General-purpose foundation models for increased autonomy in robot-assisted surgery.Nature Machine Intelligence, pages 1–9, 2024

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.264747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.264747Z digest=sha256:0b016d2d088801b029676b68105db2fcdb12fa1e2e09293baadf5f697805cd94

Observation 0d042e41-996c-40a5-8a96-c74ece747715 · outbound

This paper cites Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

Adversarial Attacks on Robotic Vision Language Action Models Real-Time Anomaly Detection and Reactive Planning with Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.268031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.268031Z digest=sha256:cb6faef867fa60acfc2d22385f73a236092e60b7387b161ac6342d7723900eda

Observation 216ff483-159e-4104-945f-fd527514230b · outbound

This paper cites Dolphins: Multimodal language model for driving.

Adversarial Attacks on Robotic Vision Language Action Models Dolphins: Multimodal language model for driving

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.271537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.271537Z digest=sha256:ce28d950247b91a051112187e7be98dadc5d18ca11995c343c19d287cbcff023

Observation 923b1969-c838-4021-8026-4f628b6de4be · outbound

This paper cites GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models.

Adversarial Attacks on Robotic Vision Language Action Models GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:11:41.550160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.274805Z digest=sha256:5ced4c6caa535f65f5196bb330c13f70245b7f31e644c8be8bbe6893a99cc231

Observation 807cd2f2-78e2-4d0c-94a7-ae0358f52552 · outbound

This paper cites Large language models can help boost food production, but be mindful of their risks.Frontiers in Artificial Intelligence, 7: 1326153, 2024.

Adversarial Attacks on Robotic Vision Language Action Models Large language models can help boost food production, but be mindful of their risks.Frontiers in Artificial Intelligence, 7: 1326153, 2024

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.279146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.279146Z digest=sha256:7c9394f3c779575280a6ecd733017651f1612128f06a67e52188ec634bca58eb

Observation fdcea2ce-bd8d-44ae-a516-318f872a4e76 · outbound

This paper cites Master plan.

Adversarial Attacks on Robotic Vision Language Action Models Master plan

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.283521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.283521Z digest=sha256:1046a0379aff72dac1ce4147d24cc5bcfb602873e6904b95d0e9479525f7172c

Observation 9e218c89-4030-44c4-af9a-5901d2ad0205 · outbound

This paper cites Unitree go2.

Adversarial Attacks on Robotic Vision Language Action Models Unitree go2

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.288010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.288010Z digest=sha256:a2146a8b4cb0ffa5b99b60385bd23dd19eb9fc2c3bb03cb411c1cace81a1b0a2

Observation b849afe8-229e-477a-9709-267e2a35504b · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Adversarial Attacks on Robotic Vision Language Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.294364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.294364Z digest=sha256:53218f64810ca3d680b4e6cb1419885cdd8e82c5af74d00d235342f71b5356c6

Observation 5f28870d-87a9-47b5-aef3-fddf90adbc18 · outbound

This paper cites Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

Adversarial Attacks on Robotic Vision Language Action Models Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.301692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.301692Z digest=sha256:975de465b80b600b817b0f81159774c0c65ac3b34f8be87440a49d85b20c01ef

Observation aeef1849-75b8-4419-8cf8-576ad109c65c · outbound

This paper cites Autort: Embodied foundation models for large scale orchestration of robotic agents.arXiv preprint arXiv:2401.12963, 2024.

Adversarial Attacks on Robotic Vision Language Action Models Autort: Embodied foundation models for large scale orchestration of robotic agents.arXiv preprint arXiv:2401.12963, 2024

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.304922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.304922Z digest=sha256:3f67fa5219691041501abc031aa35dee0b952633a2cf427b37e170b65ded86f2

Observation c75cd383-58c4-4964-8eca-3ea296dfcb39 · outbound

This paper cites AI Control: Improving Safety Despite Intentional Subversion.

Adversarial Attacks on Robotic Vision Language Action Models AI Control: Improving Safety Despite Intentional Subversion

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.307636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.307636Z digest=sha256:3ed23b894230d7c5dcd2188b6c3d7a9a0e7c7daead6b27a36467b6847f114bd6

Observation 2c9b4ea0-f4f4-4e86-938a-730a22d769cc · outbound

This paper cites Alignment faking in large language models.

Adversarial Attacks on Robotic Vision Language Action Models Alignment faking in large language models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.310964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.310964Z digest=sha256:424acf56f5fb3e79330c43a1e240a70a386db6f62137672ef8daa3e3e257a256

Observation 15125cb8-ae57-4f43-8ec1-8a7bf3d9eb45 · outbound

This paper cites Adversaries Can Misuse Combinations of Safe Models.

Adversarial Attacks on Robotic Vision Language Action Models Adversaries Can Misuse Combinations of Safe Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.314308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.314308Z digest=sha256:aa81f24d69919441831e04bde7a518e9c8df35f68959b46f6f38bb563c1200e7

Observation 239da7d6-d643-4676-b3fa-84a0c4a054ff · outbound

This paper cites Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents.

Adversarial Attacks on Robotic Vision Language Action Models Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.317535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.317535Z digest=sha256:6bf691bf3a408e37aa035bd2c386a35e56ccb60c5dff7851a6ec2e874bccec5b

Observation 627b5ad0-cdfa-4cd6-8663-ea090ef0c1c8 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Adversarial Attacks on Robotic Vision Language Action Models Prompt Injection attack against LLM-integrated Applications

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.321516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.321516Z digest=sha256:7e737bd1c1dc023cdb1fa89c6c660a4ef83860bca0d61f0a55bbdc016162c321

Observation 5620d33d-b301-43fa-8769-f67b108b3bba · outbound

This paper cites Defeating Prompt Injections by Design.

Adversarial Attacks on Robotic Vision Language Action Models Defeating Prompt Injections by Design

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.324656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.324656Z digest=sha256:123a4db641c8db482381a41f6546e283dc0b28ab82cbfd0e6c49ef7e0efc0478

Observation 7032056c-c5ad-463d-80e0-340015449779 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Adversarial Attacks on Robotic Vision Language Action Models Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.327715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.327715Z digest=sha256:9e61861d1399e83ed54372b8d3779e3bc657d5922a5dc4f6c1fc81cf50f866ba

Observation 15cc6568-1e5f-4cf0-9f70-c3905eea6629 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Adversarial Attacks on Robotic Vision Language Action Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.330830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.330830Z digest=sha256:5a306a0a52422fa6572015ec671d48736e9d3953ed0498175d796f8ab36dcd08

Observation a04a7ecb-8456-4aae-89f4-caa07a960682 · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Adversarial Attacks on Robotic Vision Language Action Models JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.333890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.333890Z digest=sha256:c50a6c93f097280775131bdb37e48d79d1eaf153b0bfdcad5e6cf3ed93daef11

Observation 9ed4e4c6-625a-4d4c-9959-08a987e02d8b · outbound

This paper cites Is Power-Seeking AI an Existential Risk?.

Adversarial Attacks on Robotic Vision Language Action Models Is Power-Seeking AI an Existential Risk?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.338107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.338107Z digest=sha256:2d33ba055e20ece908bc3fccf0a41c1c140934402d824da1400b0c5f3fa2eaa6

Observation 95933152-0f97-4195-a734-497d345c0a15 · outbound

This paper cites Risks from Learned Optimization in Advanced Machine Learning Systems.

Adversarial Attacks on Robotic Vision Language Action Models Risks from Learned Optimization in Advanced Machine Learning Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.341689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.341689Z digest=sha256:67d7c30e993ce6091c0d332bdd73973d5673ccdde9c5c4fef36c5e85363e865f

Observation b1007874-5152-4618-bab8-ab684268a9b2 · outbound

This paper cites Deceptive Alignment Monitoring.

Adversarial Attacks on Robotic Vision Language Action Models Deceptive Alignment Monitoring

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.345067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.345067Z digest=sha256:f176694187a808c58ff26f6d24cbfd010936f84ddccb5316db13fab719efe56a

Observation fa19d45b-42b9-4813-a6bc-984737b7cbcb · outbound

This paper cites RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents.

Adversarial Attacks on Robotic Vision Language Action Models RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.348373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.348373Z digest=sha256:8af4b18b2c549e22ef07627243abdfa4933bd544dc50a882ca0879fb3aaebfec

Observation 826b1a83-6390-40fe-a2cf-1acf2962ef68 · outbound

This paper cites Frontier AI systems have surpassed the self-replicating red line.

Adversarial Attacks on Robotic Vision Language Action Models Frontier AI systems have surpassed the self-replicating red line

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.351607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.351607Z digest=sha256:a8b33d4a83180d20eaf2a3d09d2a774826231b2eb3e961d100ed783c3ec91c58

Observation fbeca933-5ef0-4c09-a27d-b0aab4da468c · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Adversarial Attacks on Robotic Vision Language Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.354837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.354837Z digest=sha256:8ca3e3f91759020e6c30200b9b17ad4c9ea5141184d924f0f1957e18857e55db

Observation ff9f4791-6992-44c6-ac4d-f862331dac1a · outbound

This paper cites Jailbreaking LLM-Controlled Robots.

Adversarial Attacks on Robotic Vision Language Action Models Jailbreaking LLM-Controlled Robots

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.362352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.362352Z digest=sha256:bf908b5af0cb368f598a9cf83bcff0d0137c2b13517d2a60102dd1244a4d3201

Observation 60a2b6a8-73f4-4b1e-81fe-9fa461df6dbb · outbound

This paper cites BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.

Adversarial Attacks on Robotic Vision Language Action Models BadRobot: Jailbreaking Embodied LLM Agents in the Physical World

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.366090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.366090Z digest=sha256:22888fc9da07b6f98282d3d4261a31d4bb31dbc50e029e717155a0a883a8321d

Observation dc736ca6-a9ab-48f1-b599-11ffec3ed84c · outbound

This paper cites Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates.

Adversarial Attacks on Robotic Vision Language Action Models Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Reference 31

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:11:40.369464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.369464Z digest=sha256:a253ae30619504a366d2057306bc1e5e0f327d9c250db6b215f14b580f3fb8c4

Observation ff4cf46c-6222-420c-8f09-37e79d8e7e0a · outbound

This paper cites End-to-End Training of Deep Visuomotor Policies.

Adversarial Attacks on Robotic Vision Language Action Models End-to-End Training of Deep Visuomotor Policies

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.372910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.372910Z digest=sha256:f34d48776ed574b48cc6841f56e715c2f92713a0c7ac6ea6b3f5dc6b9ae1488a

Observation a7fe9501-ed00-4812-91cc-c61a19391ff4 · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Adversarial Attacks on Robotic Vision Language Action Models R3M: A Universal Visual Representation for Robot Manipulation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.376578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.376578Z digest=sha256:b50670243c4bdb5ef375c5f2a96348348a7c5b48a02b7934ba1eb05dc1aca455

Observation 64958992-f9da-4280-83fc-1fd88992192d · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

Adversarial Attacks on Robotic Vision Language Action Models Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.379677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.379677Z digest=sha256:233037ad4a859659b48b6e91fc206e2385d88a449d93e2173a41b6dd24d9d0ec

Observation ed30fb58-ae09-437d-88f1-54a29a92197e · outbound

This paper cites ChatGPT for Robotics: Design Principles and Model Abilities.

Adversarial Attacks on Robotic Vision Language Action Models ChatGPT for Robotics: Design Principles and Model Abilities

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.383134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.383134Z digest=sha256:5d3650910578685b5efd18e197b15686e7e8d5f8211d00ffbfa8919dd1d6c6a0

Observation f9a246e9-9350-46d2-ab56-99c0ae7dac44 · outbound

This paper cites Code as policies: Language model programs for embodied control.

Adversarial Attacks on Robotic Vision Language Action Models Code as policies: Language model programs for embodied control

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.386287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.386287Z digest=sha256:9724ba3d2ed89644f46375315bcb151de0b169f62cac4f66d3b693e947b046f7

Observation ed74ab90-1e54-4a0b-96a9-175150c9720d · outbound

This paper cites How to prompt your robot: A promptbook for manipulation skills with code as policies.

Adversarial Attacks on Robotic Vision Language Action Models How to prompt your robot: A promptbook for manipulation skills with code as policies

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.389639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.389639Z digest=sha256:ea46170cb69643c1333880ba5fcaae9df21af9f594670fb3dbac35d286a4444f

Observation 97a6686b-e2bc-4fae-a4a7-c505ef5d0344 · outbound

This paper cites Chatgpt for robotics: Design principles and model abilities.IEEE Access, 2024.

Adversarial Attacks on Robotic Vision Language Action Models Chatgpt for robotics: Design principles and model abilities.IEEE Access, 2024

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.392918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.392918Z digest=sha256:fbe2790d38e9407d4d682cd2dbaee3fe427b8df3ce6ecaae4b2e3a0b54518143

Observation ae916383-166f-43d2-b1cc-f7be2bc7b023 · outbound

This paper cites Driving Everywhere with Large Language Model Policy Adaptation.

Adversarial Attacks on Robotic Vision Language Action Models Driving Everywhere with Large Language Model Policy Adaptation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.396219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.396219Z digest=sha256:2f5fde6f50a09e7629b102a60811cb6a91fa87e434d27dd2f541ee70c53500e1

Observation fe66ef49-e91d-4a3b-9f6f-139d43a6edce · outbound

This paper cites A Survey on Multimodal Large Language Models for Autonomous Driving.

Adversarial Attacks on Robotic Vision Language Action Models A Survey on Multimodal Large Language Models for Autonomous Driving

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.399503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.399503Z digest=sha256:60d3927458723db960fca712d1214c330bbf3546ffa7919ce6e5be3f0f2cc275

Observation 5ea615c3-fa3b-4d4e-a69f-a9ace6959a2a · outbound

This paper cites Deploying and evaluating llms to program service mobile robots.IEEE Robotics and Automation Letters, 9(3):2853–2860, March 2024.

Adversarial Attacks on Robotic Vision Language Action Models Deploying and evaluating llms to program service mobile robots.IEEE Robotics and Automation Letters, 9(3):2853–2860, March 2024

Reference 41

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:11:41.134751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.403344Z digest=sha256:ee4c069cac591e10f3e8006291c6b46a00c3610a9717af6bb44b5a79295f952c

Observation 111d9616-9573-4ba0-8012-40f4128e90dc · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning.

Adversarial Attacks on Robotic Vision Language Action Models SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.406294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.406294Z digest=sha256:7e2f4b34b1d35ca9c35729d0760bb6de3cbed98463bb7d81f2cdaf045559ac1c

Observation bbcfb905-0bb3-41db-b88e-b94ea0a40760 · outbound

This paper cites Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240): 1–113, 2023.

Adversarial Attacks on Robotic Vision Language Action Models Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240): 1–113, 2023

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.409342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.409342Z digest=sha256:dcf04be7bc4eaa60bbbf0a3589bdff793d83a1cf0702077095473de193229222

Observation 7d02eae8-43dc-4400-8256-542870d7463b · outbound

This paper cites Scaling Vision Transformers to 22 Billion Parameters.

Adversarial Attacks on Robotic Vision Language Action Models Scaling Vision Transformers to 22 Billion Parameters

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.412772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.412772Z digest=sha256:f5f1cc673cb06e26da830e08abe8bd56dcbf12ac5676eb7878a96bb172c25719

Observation c02606e4-4990-47a7-941b-403485f46814 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Adversarial Attacks on Robotic Vision Language Action Models PaLM-E: An Embodied Multimodal Language Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.415933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.415933Z digest=sha256:7ac4840153a36f0c4cb7891059d16518370e7c81b9092df5aa4b51f0cb09326d

Observation de04ff54-09b2-4422-a018-6f585975f8e8 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

Adversarial Attacks on Robotic Vision Language Action Models SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.419092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.419092Z digest=sha256:8f88811b8888779352cde86e58d1cdfbe6be84592d69d1e4cebb1a0f450e741c

Observation 5d9b344b-c9f6-4d16-81e2-297627a67e6d · outbound

This paper cites Tenenbaum, Antonio Torralba, Florian Shkurti, and Liam Paull.

Adversarial Attacks on Robotic Vision Language Action Models Tenenbaum, Antonio Torralba, Florian Shkurti, and Liam Paull

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.422422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.422422Z digest=sha256:530f83cc70698a2db01f56cafdd5581f2590b2aa963e23f554b8bde8d26a03d7

Observation 454e0696-c079-4d0e-909f-a5b833d1a46b · outbound

This paper cites An embodied generalist agent in 3d world,.

Adversarial Attacks on Robotic Vision Language Action Models An embodied generalist agent in 3d world,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.425459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.425459Z digest=sha256:f9ee0947e6842cc8f4171b418e805d4b55e6d2c410d5b1714bf1d8eb95ac8706

Observation e366fbbc-a98d-45d6-a9fd-282cfbe72334 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Adversarial Attacks on Robotic Vision Language Action Models Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.431994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.431994Z digest=sha256:14b55858700550efcac2db97fcb2c370f8d6b9a0971ca9a0509d6a9009ecc092

Observation 69f8b978-f345-4e2d-8ad3-13de2d76af9b · outbound

This paper cites Octo: An open-source generalist robot policy.

Adversarial Attacks on Robotic Vision Language Action Models Octo: An open-source generalist robot policy

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:43.107063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.435203Z digest=sha256:0dea4a7b2c229e256b695ecf0f0bf45244242591c5d568074f99212b269076e1

Observation 8f7cc1a5-e099-48d0-a700-894ab31e8269 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Adversarial Attacks on Robotic Vision Language Action Models RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.438695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.438695Z digest=sha256:e1dd883da9f727558268a062f9ff8229c3a4f8e5b5e6c808fb2cf3bdf9d1338b

Observation e8fbd981-45eb-48d6-9617-ce72bf99ee65 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Adversarial Attacks on Robotic Vision Language Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.441575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.441575Z digest=sha256:6a0ab19ba307a39c8adbe1dbb69330a2243bc820c7586aef81388c6d5b5285e7

Observation 85fc64ee-2038-44b9-b857-3bf9cc06b2e3 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Adversarial Attacks on Robotic Vision Language Action Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.445540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.445540Z digest=sha256:5e4cebeef7e889663a8dfe01bf862c845371e3bdb81e6f43f861f26a413886a7

Observation 8aace697-34ed-43c3-914a-50c88905b990 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Adversarial Attacks on Robotic Vision Language Action Models CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.448850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.448850Z digest=sha256:718044ff8aff268ef497f724a378a3ca62797f32f8e339090bfd57759590ee24

Observation 1dd9723d-b75f-4f4b-8e87-6aa97ceca224 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Adversarial Attacks on Robotic Vision Language Action Models A General Language Assistant as a Laboratory for Alignment

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.452007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.452007Z digest=sha256:43ba2d49102df15b2f2ae8964d20c75c618e4e9327853863974780a1eff85455

Observation 3b1a64ec-e3a2-4458-b5c2-5f6b6dabd9e5 · outbound

This paper cites Regulating chatgpt and other large generative ai models.

Adversarial Attacks on Robotic Vision Language Action Models Regulating chatgpt and other large generative ai models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.948942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.455122Z digest=sha256:4024386635ec6430df29e512b18ea9ae068751c1538ee51f48edc0cfa6d0be63

Observation 1f2ed3ec-f3c5-4faa-9f7c-bb8f1d2a5a3d · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Adversarial Attacks on Robotic Vision Language Action Models Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.782514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.458043Z digest=sha256:52331c288da0d75753981773707da50a11e5b432e01741f011c1300477ca54a7

Observation a4bffa5c-d692-42cd-992c-46a087197421 · outbound

This paper cites Jailbroken: How does llm safety training fail?Advances in Neural Information Processing Systems, 36, 2024.

Adversarial Attacks on Robotic Vision Language Action Models Jailbroken: How does llm safety training fail?Advances in Neural Information Processing Systems, 36, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.655018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.461177Z digest=sha256:a090f9b1c2ff4a956de16473c34cd47790be90cc6a663a41ef6251cfa76a86ba

Observation fdc1b322-6605-44f4-92bc-3a0dbb4173f5 · outbound

This paper cites Are aligned neural networks adversarially aligned?Advances in Neural Information Processing Systems, 36, 2024.

Adversarial Attacks on Robotic Vision Language Action Models Are aligned neural networks adversarially aligned?Advances in Neural Information Processing Systems, 36, 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.548810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.464457Z digest=sha256:be3dd97f60e031e3dd1a549f178e1140ba5aa05671e6cd31c072bb78b5df4439

Observation 878ebc4a-d52b-422e-8869-dff158b29204 · outbound

This paper cites AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Adversarial Attacks on Robotic Vision Language Action Models AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.467496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.467496Z digest=sha256:92e761e8dccea06efbf70600258aa7ebce3a662cca63ada2bbb8c66922c3fd89

Observation 7a5db577-51ce-41a8-a94c-fd43ca12a759 · outbound

This paper cites Frontier Models are Capable of In-context Scheming.

Adversarial Attacks on Robotic Vision Language Action Models Frontier Models are Capable of In-context Scheming

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.470984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.470984Z digest=sha256:a07e547abe3e1b07b484b34925ff93e8af9d1477fee721686ebe7aa5c929122c

Observation 81792aed-f23f-4c4b-b15f-3b7ae48bef03 · outbound

This paper cites Stress-Testing Capability Elicitation With Password-Locked Models.

Adversarial Attacks on Robotic Vision Language Action Models Stress-Testing Capability Elicitation With Password-Locked Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.474093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.474093Z digest=sha256:7e3918985daa9ee3fb70005b9304b68d844580838f1e4242d95e7d13f7e15f38

Observation e41ed12b-0b24-4dd6-9bb1-47952bab1fa8 · outbound

This paper cites A Safe Harbor for AI Evaluation and Red Teaming.

Adversarial Attacks on Robotic Vision Language Action Models A Safe Harbor for AI Evaluation and Red Teaming

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.477043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.477043Z digest=sha256:14921849e24c46f3b583a6c39c42b03aad09172dea5fe3aa0f7d4953e5bf520d

Observation a50f1dbe-d4a2-4ed6-bbeb-2ce01e49fb71 · outbound

This paper cites Open Problems in Technical AI Governance.

Adversarial Attacks on Robotic Vision Language Action Models Open Problems in Technical AI Governance

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.480206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.480206Z digest=sha256:51697ecf2a5205c54d71ed6bbe79332768800d253ba1101deb960db548128f10

Observation 3e69ab2f-f2d8-4b74-a925-d5125038e49d · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Adversarial Attacks on Robotic Vision Language Action Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.483280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.483280Z digest=sha256:9da67e6ca341f22e3643b92d365f79b24f73d4300d3be0881b2111be6135212b

Observation b370fc59-43ab-4246-9e74-508814b52dfa · outbound

This paper cites Visual adversarial examples jailbreak aligned large language models.

Adversarial Attacks on Robotic Vision Language Action Models Visual adversarial examples jailbreak aligned large language models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.405908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.486909Z digest=sha256:9764a28a802e6f792e4af0419682dab6f7d87af8450047cc75afe79fac2f38d4

Observation ea5b7d3f-4fcd-41a9-bb98-f17d2047398d · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Adversarial Attacks on Robotic Vision Language Action Models LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.490378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.490378Z digest=sha256:9560946e98ed0bbb635e5866b4571bf5acdb481568c7f9913b96380845f861d0

Observation aed2d884-f9d4-4301-9d15-bace8a2c0e14 · outbound

This paper cites Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack.

Adversarial Attacks on Robotic Vision Language Action Models Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.493528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.493528Z digest=sha256:37d79b175b1bfc16f5173f96df152973a137ae8bf6254a37a09c933f26fb706b

Observation 7ecf9ed4-023e-45d3-aeec-6358a25a357e · outbound

This paper cites Improving alignment and robustness with circuit breakers.

Adversarial Attacks on Robotic Vision Language Action Models Improving alignment and robustness with circuit breakers

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.312697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.497097Z digest=sha256:56813f240cf30ed5b66815ef349704e5d5e83f2df2c42c87390776bcd79e5b5f

Observation f9bc86cb-b49f-4797-a4a8-b8e8efc55350 · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

Adversarial Attacks on Robotic Vision Language Action Models SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.500019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.500019Z digest=sha256:f1673c56b41e5480cde346ae38f2c5caf7d65535674fbb7fbf1b60110fb9a42e

Observation c8c0b561-2586-42fe-ba9a-8ef06af55522 · outbound

This paper cites OpenAI o1 System Card.

Adversarial Attacks on Robotic Vision Language Action Models OpenAI o1 System Card

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.503166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.503166Z digest=sha256:da7d302b9d33cb5718d098c753903348f88657bbc31a7a6fd8ee2545044faf24

Observation dfc03a1d-a0fc-48df-9b31-4379c8b5300e · outbound

This paper cites The Llama 3 Herd of Models.

Adversarial Attacks on Robotic Vision Language Action Models The Llama 3 Herd of Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.506433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.506433Z digest=sha256:c8a606f50b44998d81789d47064bb16e222bf479bef8c911aa28aad8057dc042

Observation 98b16650-4cd2-4544-817b-1fc5a857bd5b · outbound

This paper cites Dissecting Adversarial Robustness of Multimodal LM Agents.

Adversarial Attacks on Robotic Vision Language Action Models Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.509846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.509846Z digest=sha256:5ac47156013457d9ee61f7d2628db087de97f03527efcb6c409ca2c5f0e192ad

Observation f3f856b1-b0bf-43af-a1cc-44626b5a8be5 · outbound

This paper cites BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents.

Adversarial Attacks on Robotic Vision Language Action Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.513409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.513409Z digest=sha256:2e9b9487b6bf20bb649f3e7433f593215ef6db6e7d46def755ee03c940c75732

Observation 5365cf22-08b9-4730-9778-c3bf52a2e170 · outbound

This paper cites Adversarial Search Engine Optimization for Large Language Models.

Adversarial Attacks on Robotic Vision Language Action Models Adversarial Search Engine Optimization for Large Language Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.516945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.516945Z digest=sha256:356a5e588029a597944bd57c6c96a0edce51a45ce8a70bd568243920a7daffae

Observation a04af57b-0804-441e-9000-44ea52aa744a · outbound

This paper cites Embodied Red Teaming for Auditing Robotic Foundation Models.

Adversarial Attacks on Robotic Vision Language Action Models Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.520328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.520328Z digest=sha256:118a33ff6ee7352872d4707db6732f83f20f37e62c5cdb4c2acc07c4a247bb7d

Observation 1fba4143-4ab4-4792-8c3a-9c11a96de4a1 · outbound

This paper cites Intriguing properties of neural networks.

Adversarial Attacks on Robotic Vision Language Action Models Intriguing properties of neural networks

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.523904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.523904Z digest=sha256:494fca2c47a48dcf589e45bff713931efa93cb11144a8cdd27c148a17fc1b25d

Observation 2d667f05-5244-47b9-886d-539fdc725335 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Adversarial Attacks on Robotic Vision Language Action Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.527358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.527358Z digest=sha256:4f62fbee1b5cd8929b3e7ae537991e0e2556b108ca7340ab7bf292c0f8e25b01

Observation 3c0bbdf6-817c-4bd0-a666-601b851f6a74 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

Adversarial Attacks on Robotic Vision Language Action Models Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.530536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.530536Z digest=sha256:321f5f22f653e7d2fb28f52fb7e9f44c972744b3420426af6d4ebbdb5d7eb5a2

Observation a40bcbbd-e932-475c-a08d-3e8861d51d2d · outbound

This paper cites HYDRA: Hybrid Robot Actions for Imitation Learning.

Adversarial Attacks on Robotic Vision Language Action Models HYDRA: Hybrid Robot Actions for Imitation Learning

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.534332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.534332Z digest=sha256:a51191f7a2c24b1b9fb6dbde4f54c2d4b7da7db7673a158834d1fa8ea8fd191f

Observation bc765adb-df3b-4956-a7c0-7499f5f3f0f0 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

Adversarial Attacks on Robotic Vision Language Action Models Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.538116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.538116Z digest=sha256:4437ce82bea15180e0ac8239dcfeb65f3631b1b3c7e852d147b4ff89b4cee24f

Observation 149d46b6-f86a-47fa-82d7-2d7afc0d3ee0 · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Adversarial Attacks on Robotic Vision Language Action Models TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.541709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.541709Z digest=sha256:bc12d5ce6ab16d4ab9c8e68a9eeb5d19505ee6fd4e9feb2b0f9dad7850a45501

Observation fd157157-cf82-437d-b9f5-72fad7cbaeb3 · outbound

This paper cites GitHub - allenzren/open-pi-zero: Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence — github.com.

Adversarial Attacks on Robotic Vision Language Action Models GitHub - allenzren/open-pi-zero: Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence — github.com

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:42.134928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.544923Z digest=sha256:edc585cde03235e7b4daeb3b7f3d3da862c61e3ade1a8ebd80d549ff8ce00392

Observation 0634483d-8172-449a-bfcc-5c817b073cd5 · outbound

This paper cites Failures to find transferable image jailbreaks between vision-language models.

Adversarial Attacks on Robotic Vision Language Action Models Failures to find transferable image jailbreaks between vision-language models

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:41.952328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.547821Z digest=sha256:8c2fc57e9bacb6c001e95335c5238610ad837006757e39f7f2d8e0d39d6386b5

Observation 60f67dd0-5532-4871-9215-078dcc65b23a · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

Adversarial Attacks on Robotic Vision Language Action Models Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.551096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.551096Z digest=sha256:ed2ec0e42f872efeb7c745291e1f6ef50a0abbab09a639df7c84b8f6eb2485a2

Observation d1f6c3b4-8554-4a04-9e30-2071d3ed7753 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Adversarial Attacks on Robotic Vision Language Action Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.554404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.554404Z digest=sha256:26a02fb29b2943d34f82726464955870774d5679718bdbb23dbae0bbd3ace143

Observation e2885798-5bb7-4b89-90b1-3f90f216a57e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Adversarial Attacks on Robotic Vision Language Action Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.557735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.557735Z digest=sha256:0cb8f81ccaf7b1b5d85fa4d9b35b8cae9dfc69435e29957d25c755f90ffe1657

Observation 90d52dea-0a17-49c8-9875-b97aa91dd09c · outbound

This paper cites Deep reinforcement learning from human preferences.

Adversarial Attacks on Robotic Vision Language Action Models Deep reinforcement learning from human preferences

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.561507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.561507Z digest=sha256:7345a7122eb5dfebee7e751f5177f0b25233ffb9f5e0038e82b24d75dd556fe1

Observation 45a0b585-35d0-4e79-b213-a2c76e17bc74 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Adversarial Attacks on Robotic Vision Language Action Models Scalable agent alignment via reward modeling: a research direction

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.565294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.565294Z digest=sha256:95f81d554b5166f06c942481ea6bfd8f4676dccb32fe9f98551923862aff6f85

Observation b5a7b127-a24d-4762-b079-14c90623e9ff · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Adversarial Attacks on Robotic Vision Language Action Models HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.568661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.568661Z digest=sha256:693b6b3b0035a3b7ee2bccae0b8874012ebeb65a129014cd3e0409245a762aa0

Observation 4bface85-924a-42ee-a04b-36476e85f515 · outbound

This paper cites GRAPE: Generalizing Robot Policy via Preference Alignment.

Adversarial Attacks on Robotic Vision Language Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.572064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.572064Z digest=sha256:ba42f5b355dc97f2dcb09a85b02c2d52e9c8cd6e6e2ae2c0d3f1c91b8019c182

Observation 44e5a0f2-5daa-40d8-9f27-de07fa26d6d0 · outbound

This paper cites Abbas, Shakra Mehak, Georgios C.

Adversarial Attacks on Robotic Vision Language Action Models Abbas, Shakra Mehak, Georgios C

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:41.806984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.575417Z digest=sha256:6e72601f898de5245008323071859b0c5ba1de43946fe31790fc5c20e2b49e4e

Observation c8df0c7d-307e-485e-ae5e-048422841b12 · outbound

This paper cites SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning.

Adversarial Attacks on Robotic Vision Language Action Models SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.578496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.578496Z digest=sha256:963d8d4b3f9e226151805038668721cd82a08c4c43424f7c5aca9955696243f6

Observation 67b24b70-5179-4f26-b95c-7f1ef6f9c7f9 · outbound

This paper cites Safety guardrails for llm-enabled robots.arXiv preprint arXiv:2503.07885, 2025.

Adversarial Attacks on Robotic Vision Language Action Models Safety guardrails for llm-enabled robots.arXiv preprint arXiv:2503.07885, 2025

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.582432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.582432Z digest=sha256:b68763ff961dcacec3bd18037991d58e4662ae88802ddb81007e059289cbdeb0

Observation bd3044df-29b1-4895-ab51-4291ae069659 · outbound

This paper cites pick coke can.

Adversarial Attacks on Robotic Vision Language Action Models pick coke can

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:41.661182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:11:40.585654Z digest=sha256:0761f2904da2db3a28b0185c40ba52275f9ffe51205083d6dcf656bce07c7e35

Observation 8a317e3e-f960-47ea-89e2-8c58204d714b · outbound

This paper cites an unresolved cited work.

Adversarial Attacks on Robotic Vision Language Action Models Unresolved cited work

Reference 2023

Resolution
parse uncertain
no resolver link, observed 2026-08-07T11:11:40.291167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.291167Z digest=sha256:af2c90dbc263967402339bd7dfefeae588b0b137b448dc5a1cbf91744de27ea8

Observation 0ac6cac2-4c25-4831-94ea-903e4988266f · outbound

This paper cites An Embodied Generalist Agent in 3D World.

Adversarial Attacks on Robotic Vision Language Action Models An Embodied Generalist Agent in 3D World

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.428658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.428658Z digest=sha256:fd25a5199d76eb09602740bc9552305f92eda10cb5777b7902640440acd814b5

Pith citing papers

Observation 56c4544d-d9f6-4201-b6e6-570b1e1f3fab · inbound

Embodied AI: Emerging Risks and Opportunities for Policy Action cites this paper.

Embodied AI: Emerging Risks and Opportunities for Policy Action Adversarial Attacks on Robotic Vision Language Action Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T14:37:25.598981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:37:25.598981Z digest=sha256:deee0e0f2aa14c2d4e5cd9006f2f198b14e864af150ccdbf3c18393a22c2bbe0

Observation d785a531-3760-4bc3-ab92-fe42c7835f4f · inbound

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

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:31:13.125269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T19:29:43.382392Z digest=sha256:521fa3740ebb24d3e56c97e569f6186a2146dde1c1ad75d56a3972486768c1da

Observation f820d86b-5131-48c4-8b76-47580c354891 · inbound

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

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T14:05:23.448332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:05:23.448332Z digest=sha256:6ff65b4b5b216a703ba7e785e29807bb540dae963fc4c4ee5c9f98004d2e217c

Observation 0aec7b11-f324-47b0-a56b-7a2f3b0d881c · inbound

TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches cites this paper.

TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches Adversarial Attacks on Robotic Vision Language Action Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T19:50:50.950451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:50:50.950451Z digest=sha256:e98c1b03bdb96c9ddaefa6b7bc5066f2a415e025c78afad231e9799b137341bf

Observation e7b3b776-b54d-43bf-a6dc-b989de00f8a8 · inbound

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models cites this paper.

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:08:25.791834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:06:42.421062Z digest=sha256:2dfb148780031e7913256205873e7f46f1f318623def9845be20bdd23b211537

Observation 11d4d8ed-79e8-4493-a573-143f81210c60 · inbound

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems cites this paper.

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems Adversarial Attacks on Robotic Vision Language Action Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:48:02.805576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T16:47:10.678447Z digest=sha256:c0110ef90cbde343b268a6d1298a5e613f16b7ed8ccd49b2208ff384191fef68

Observation 6137c7a4-a2d8-44b0-8bb8-6782d72cfe7a · inbound

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models cites this paper.

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:03.846995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:20:35.818770Z digest=sha256:ccb2e818ebe9b397575775bc6a2f86bac12893e26a6b68f7e72721de903109cf

Observation 271e1474-c83c-4f4b-a890-278af2b8fe62 · inbound

Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms cites this paper.

Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms Adversarial Attacks on Robotic Vision Language Action Models

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:21:10.586498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T05:56:13.913710Z digest=sha256:aa032df9fe50e38f66643834c06a5b9ca9fe5cc08f1ec4e870fe6c9f9ff7b3e2

Observation b1d9eb21-727b-4ae6-bdd8-48e5742cbda8 · inbound

Semantic Denial of Service in LLM-controlled robots cites this paper.

Semantic Denial of Service in LLM-controlled robots Adversarial Attacks on Robotic Vision Language Action Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:46:14.626428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T07:59:42.478294Z digest=sha256:6eb1b2735d7814cc3bb617eabf7097321c71e9f2f3a64675f4613819bbcbaad8

Observation 9f5e4732-6c6d-4dc5-84e8-371556000c9e · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Adversarial Attacks on Robotic Vision Language Action Models

Reference 198

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:04.330888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:20:31.623849Z digest=sha256:fe2488b740a36e7c6997737a1ea689b82927c92e24724ef8770536a4901ed225

Observation b4b5feba-993b-45df-b020-5bb525bb5b25 · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Adversarial Attacks on Robotic Vision Language Action Models

Reference 164

Resolution
unresolved
no resolver link, observed 2026-07-13T17:08:58.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:08:58.831798Z digest=sha256:0490f62d1f863190f44da243fff549137b1e3cc3ab13c80ca4ee0d2473be5522

Observation 4270abea-ea1e-4112-97b3-b2edf3763d5c · inbound

ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving cites this paper.

ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving Adversarial Attacks on Robotic Vision Language Action Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T11:13:20.764580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T11:10:46.269185Z digest=sha256:5118b5f17b1e1e6db58364fcd878087544bf9dc3bbd7ab85182857bf520a5ab6

Observation a8f39fb6-c78a-4773-b990-ce8864d880b8 · inbound

Adversarial Attacks on Learned Policies for Surgical Robotic Tasks cites this paper.

Adversarial Attacks on Learned Policies for Surgical Robotic Tasks Adversarial Attacks on Robotic Vision Language Action Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.712107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T10:07:43.624430Z digest=sha256:c5bf2419662a44a7f1498b527e90b1297fba1626d3865cde1a8a909bd3118245

Observation 14643cb9-ab5b-41b3-929e-b61651e4006e · inbound

Trajectory-Level Redirection Attacks on Vision-Language-Action Models cites this paper.

Trajectory-Level Redirection Attacks on Vision-Language-Action Models Adversarial Attacks on Robotic Vision Language Action Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:18:33.815886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T06:33:53.013076Z digest=sha256:ebfd3dd60bcf3d21c630d1541440e02e8586e863955b5d45810e77340638fac4

Observation 4cf02cd1-f5a2-4b89-9fcb-fd4a0c1283e4 · inbound

Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation cites this paper.

Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation Adversarial Attacks on Robotic Vision Language Action Models

Reference 110

Resolution
unresolved
no resolver link, observed 2026-07-31T14:03:37.094818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T14:03:37.094818Z digest=sha256:0e333b13126a4f5b1d8ba29ab34893eda2ccdc70732f19a43354fa014ec510ec

Observation c623575b-7270-4968-8cbe-1d7c034a4973 · inbound

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks cites this paper.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Adversarial Attacks on Robotic Vision Language Action Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:28.189227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:28.189227Z digest=sha256:5c3f8549596ec44173a9a55f7c4b0d1efc7fece0a7826493bdec448febe2b991

Observation d8894222-796d-4019-834d-cfedfc1712a5 · inbound

DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack cites this paper.

DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack Adversarial Attacks on Robotic Vision Language Action Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T23:33:28.586419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:33:28.586419Z digest=sha256:4405c990665501340b09bb9046a553397f2dc886ef5a1ee865f26a25b25d512a

Observation 3eb7074b-c81e-4cc4-b498-e7acc5d3c737 · inbound

Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled Robots cites this paper.

Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled Robots Adversarial Attacks on Robotic Vision Language Action Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T00:38:15.328733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:38:15.328733Z digest=sha256:1a541b9d723e63999537922d814e7451ed4a28179bd52290e87956cdd00ec8a7