MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents | Paper Citation Record

Observation 4d47c24f-8713-4817-9766-eb39577aaf6f · outbound

This paper cites UA VBench: An open benchmark dataset for autonomous and agentic AI UA V systems via LLM-generated flight scenarios,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents UA VBench: An open benchmark dataset for autonomous and agentic AI UA V systems via LLM-generated flight scenarios,

Reference 1

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Observation 8afaca99-cb9b-4485-8061-6744af9903e0 · outbound

This paper cites Drones as a service (DaaS) for 5G networks and blockchain-assisted IoT-based smart city infrastructure,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Drones as a service (DaaS) for 5G networks and blockchain-assisted IoT-based smart city infrastructure,

Reference 2

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Observation 9d238312-b5f8-4866-9282-e2ad143c0cb3 · outbound

This paper cites Advancing UA V security with artificial intelligence: A comprehensive survey of techniques and future directions,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Advancing UA V security with artificial intelligence: A comprehensive survey of techniques and future directions,

Reference 3

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Observation 35ba8de0-a339-4202-ad9b-a8438c4ab7dc · outbound

This paper cites Toward secure complex UA V cyber-physical systems: A unified threat taxonomy and cross-layer survey of cybersecurity challenges,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Toward secure complex UA V cyber-physical systems: A unified threat taxonomy and cross-layer survey of cybersecurity challenges,

Reference 4

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Observation 9a11631f-0064-487b-a6fd-96359d31222e · outbound

This paper cites Cyber physical systems: Design challenges,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Cyber physical systems: Design challenges,

Reference 5

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Observation 6fb20ff5-2bb8-4c0d-97d6-5739febd13ce · outbound

This paper cites Cyber-physical systems security: A survey,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Cyber-physical systems security: A survey,

Reference 6

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Observation a44d94de-fcad-49b4-b1dd-85d325649daf · outbound

This paper cites AirCopBench: A benchmark for multi-drone collaborative embodied perception and reasoning,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents AirCopBench: A benchmark for multi-drone collaborative embodied perception and reasoning,

Reference 7

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Observation 301111b3-33a5-4c0d-89b8-42cf01ef1fb8 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 8

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Observation 0e02ce6a-2a3c-4208-a1f4-706090655bb4 · outbound

This paper cites EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.849925Z

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Observation 1195c5f9-47c8-4113-b19e-ef7b6270a31b · outbound

This paper cites UrbanVideo-bench: Benchmarking vision-language models on embodied intelligence with video data in urban spaces,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents UrbanVideo-bench: Benchmarking vision-language models on embodied intelligence with video data in urban spaces,

Reference 10

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Observation c5543ab6-cda4-49c2-9a66-bc4fdc308fed · outbound

This paper cites CityNav: A large-scale dataset for real-world aerial navigation,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents CityNav: A large-scale dataset for real-world aerial navigation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.868252Z

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Observation c0d6af87-15ae-43d8-aaeb-06ef225ea149 · outbound

This paper cites CityNavAgent: Aerial vision-and-language navigation with hierarchical semantic planning and global memory,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents CityNavAgent: Aerial vision-and-language navigation with hierarchical semantic planning and global memory,

Reference 12

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Observation 5badc01a-935a-446f-a248-3aa4e4ad49e1 · outbound

This paper cites MM-UA VBench: How well do multimodal large language models see, think, and plan in low-altitude UA V scenarios?.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents MM-UA VBench: How well do multimodal large language models see, think, and plan in low-altitude UA V scenarios?

Reference 13

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Observation 2bc294ad-9fd1-4a75-b3d2-147fbac938fe · outbound

This paper cites ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue

Reference 14

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Observation e8824238-030e-49df-9744-81488d3fe7be · outbound

This paper cites UA V-ON: A benchmark for open-world object goal navigation with aerial agents,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents UA V-ON: A benchmark for open-world object goal navigation with aerial agents,

Reference 15

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Observation 0cac6d52-e06d-4ad2-ae5f-706acc2e8fe6 · outbound

This paper cites RT-2: Vision-language-action models transfer web knowledge to robotic control,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents RT-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.894082Z

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Observation 1192bded-2511-45a6-a910-2362e29bb616 · outbound

This paper cites OpenVLA: An open-source vision-language- action model,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents OpenVLA: An open-source vision-language- action model,

Reference 17

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Observation 68539557-da7e-49f6-9896-7950c3cc2790 · outbound

This paper cites ARViP: Adversarial regularization in visuomotor policies for robotic VLA purpose,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents ARViP: Adversarial regularization in visuomotor policies for robotic VLA purpose,

Reference 18

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Observation 1fd2af17-8606-413c-bc49-3aecb0b01f35 · outbound

This paper cites A survey on vision– language–action models for embodied AI,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents A survey on vision– language–action models for embodied AI,

Reference 19

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Observation fd0255a1-852d-4684-baa2-5b8feda64884 · outbound

This paper cites UA VScenes: A multi-modal dataset for UA Vs,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents UA VScenes: A multi-modal dataset for UA Vs,

Reference 20

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Observation 36551075-fd7b-4620-bd4c-33b5c80cd629 · outbound

This paper cites Replanning-oriented framework for efficient real-time decision-making in multi-UA V sys- tems,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Replanning-oriented framework for efficient real-time decision-making in multi-UA V sys- tems,

Reference 21

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Observation 2bcc2df1-8574-40b1-bc4c-78599f68803b · outbound

This paper cites Task offloading for multi-UA V asset edge computing with deep reinforcement learning,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Task offloading for multi-UA V asset edge computing with deep reinforcement learning,

Reference 22

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Observation ff2a94a7-ee56-4167-8478-fdc0a538e241 · outbound

This paper cites Resilient event-triggered formation control and secure estimation of multi-UA V systems,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Resilient event-triggered formation control and secure estimation of multi-UA V systems,

Reference 23

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Observation ecf43393-38c6-4af1-937b-06f88763f4ef · outbound

This paper cites Authentica- tion framework for secure smart farming system deployed for sustainable development of smart cities: A review,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Authentica- tion framework for secure smart farming system deployed for sustainable development of smart cities: A review,

Reference 24

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Observation 417da5d2-9e26-4cd1-821e-239bf5de5911 · outbound

This paper cites AerialVLN: Vision-and-language navigation for UA Vs,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents AerialVLN: Vision-and-language navigation for UA Vs,

Reference 25

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Observation 6252080d-a975-4b2f-a601-471ad9797282 · outbound

This paper cites MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.945193Z

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Observation d44b323a-addc-489d-bbfd-049df7177b2b · outbound

This paper cites MMBench: Is your multi-modal model an all-around player?.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents MMBench: Is your multi-modal model an all-around player?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.948669Z

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Observation a778bdc1-5a06-4e83-8888-96fd34cc8acc · outbound

This paper cites Video-MME: The first-ever comprehensive evaluation benchmark of multi-modal LLMs in video analysis,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Video-MME: The first-ever comprehensive evaluation benchmark of multi-modal LLMs in video analysis,

Reference 28

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Observation 013f4cad-f5e2-467a-9f68-28d412fc2a4d · outbound

This paper cites Holistic Evaluation of Language Models.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Holistic Evaluation of Language Models

Reference 29

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Observation 1edd3797-584a-4c96-b95d-10b1936d4090 · outbound

This paper cites DecodingTrust: A comprehensive assessment of trustworthiness in GPT models,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents DecodingTrust: A comprehensive assessment of trustworthiness in GPT models,

Reference 30

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Observation fdc99126-a276-4c92-825b-3065d6211e2e · outbound

This paper cites Vision-based learning for drones: A survey,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Vision-based learning for drones: A survey,

Reference 31

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Observation 8b2744ae-5541-45c1-8223-18f8c93e132f · outbound

This paper cites α 3-Bench: A unified benchmark of safety, robustness, and efficiency for LLM-based UA V agents over 6G networks,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents α 3-Bench: A unified benchmark of safety, robustness, and efficiency for LLM-based UA V agents over 6G networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-30T13:50:40.972335Z

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Observation 0c2f3a68-ead0-43a5-b227-86aaf22c6450 · outbound

This paper cites HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks

Reference 33

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Observation 1dfa7bc3-cd5b-4208-9dee-9c9252b6945d · outbound

This paper cites A mathematical theory of communication,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents A mathematical theory of communication,

Reference 34

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Observation 90b6d7f7-8b94-4377-b0f0-20bdfc3dda37 · outbound

This paper cites SelectiveNet: A deep neural network with an integrated reject option,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents SelectiveNet: A deep neural network with an integrated reject option,

Reference 35

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MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents On calibration of modern neural networks,

Reference 36

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Observation aee1e832-ef72-4b5d-9621-9b52f05dcf4c · outbound

This paper cites Qwen3-VL Technical Report.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Qwen3-VL Technical Report

Reference 37

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MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Qwen3.5: Towards native multimodal agents,

Reference 38

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MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents SmolVLM2-2.2B-Instruct model card,

Reference 39

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Observation 0bcc2aec-a860-4383-b77d-15d31cb28384 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 40

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MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Gemma 4 model overview,

Reference 41

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Observation 6c5a353a-7f53-4012-8897-01e25fb91447 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 42

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MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents GLM-4.6V overview,

Reference 43

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Observation 05984a4d-766b-4f9c-8198-ee3bd40074d8 · outbound

This paper cites Qwen2.5-VL Technical Report.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Qwen2.5-VL Technical Report

Reference 44

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Observation e3e0e3c8-35a0-44a2-af45-0ad323ed9ab6 · outbound

This paper cites MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Reference 45

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Observation 7f4ce729-0bf7-4248-9bb8-346ec513e6b7 · outbound

This paper cites Aya Vision: Advancing the Frontier of Multilingual Multimodality.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Aya Vision: Advancing the Frontier of Multilingual Multimodality

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Observation 0cfbcc96-ccc5-4fce-b4bb-fc008816a546 · outbound

This paper cites Building and better understanding vision-language models: insights and future directions.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Building and better understanding vision-language models: insights and future directions

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Observation 1a4e4205-c471-46f0-a00a-d50ab299d421 · outbound

This paper cites LLaV A-NeXT: Improved reasoning, OCR, and world knowledge,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents LLaV A-NeXT: Improved reasoning, OCR, and world knowledge,

Reference 48

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Observation ef27f300-e8d9-4ac6-9bd6-e6d982969e88 · outbound

This paper cites Concrete Problems in AI Safety.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Concrete Problems in AI Safety

Reference 49

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Observation b25ec72e-7470-4ad4-ad0e-7316a8a5d25b · outbound

This paper cites Advanced security frameworks for UA V and IoT: A deep learning approach,.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Advanced security frameworks for UA V and IoT: A deep learning approach,

Reference 50

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This paper cites 2679–2713.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents 2679–2713

Reference 270

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Observation cf107f8e-32c8-429a-95b9-2715c65b808a · outbound

This paper cites Available: https://people.math.harvard.edu/ ∼ctm/home/ text/others/shannon/entropy/entropy.pdf.

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Available: https://people.math.harvard.edu/ ∼ctm/home/ text/others/shannon/entropy/entropy.pdf

Reference 1948

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