Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T13:42:23.610697Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.10180.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T13:42:23.610697Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
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Observation f00c4257-91e6-46ae-bb25-de4c7e84348c · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Aligning cyber space with physical world: A comprehensive survey on embodied ai
Reference 1
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Observation 9200a22a-4381-4d04-8b34-4afd6d7ce9d0 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Ddl: Empowering delivery drones with large-scale urban sensing capability.IEEE Journal of Selected Topics in Signal Processing, 18(3):502–515, 2024
Reference 2
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Observation 547f3c93-5a03-4a3c-aac0-47544564329c · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning.IEEE Robotics and Automation Letters, 6(2):779–786, 2021
Reference 3
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Observation e13a3d2d-8593-4683-a351-ac65bbb41660 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Ego-planner: An esdf-free gradient-based local planner for quadrotors.IEEE Robotics and Automation Letters, 6(2):478– 485, 2020
Reference 4
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Observation dff14024-bfe9-4f25-a69f-cdb83ac2be15 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Aerialvln: Vision-and-language navigation for uavs
Reference 5
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Observation 74a76656-a27f-401c-96bc-8da10dbba011 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
Reference 6
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Observation 47f7d489-7a66-4a25-94a4-6e9bca05a0b5 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Openfly: A comprehensive platform for aerial vision-language navigation.arXiv preprint arXiv:2502.18041, 2025
Reference 7
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Observation 4230cabf-d3a5-4dd9-a646-1909da6f644e · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Citynav: A large-scale dataset for real-world aerial navigation
Reference 8
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Observation 840fb07e-d0d3-4843-83bc-825b561e7249 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Openvln: Open- world aerial vision-language navigation.arXiv preprint arXiv:2511.06182, 2025
Reference 9
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Observation e19b2945-867c-453f-a730-3a794963ae41 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Reid, Stephen Gould, and Anton van den Hengel
Reference 10
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Observation 6efb9a2a-48e0-4dd6-89e0-75c9ec2e3ba0 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Beyond the nav-graph: Vision-and-language navigation in continuous environments
Reference 11
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Observation b8af8378-b349-40b9-87c6-e063c968ea83 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Touchdown: Natural language navigation and spatial reasoning in visual street environments
Reference 12
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Observation af9d2155-68a6-42d4-876d-641a07f8dc9e · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Room-across- room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
Reference 13
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Observation 3d4602da-e8a7-40a3-8219-5d4097fbf594 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Embodied question answering
Reference 14
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Observation 3cc91ddb-a1fc-4936-91d4-d141901c0aa0 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Eqa-mx: Embodied question answering using multimodal expression
Reference 15
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Observation 1b4b831e-eba6-474a-8850-5eefb62f48d6 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Embodied Question Answering in photorealistic environments with point cloud perception
Reference 16
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Observation b1809335-af29-4212-ad7b-c7669eac7e15 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
Reference 17
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Observation 8d724d90-85a7-4905-a376-19b3c24be31b · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Explore until confident: Efficient exploration for embodied question answering
Reference 18
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Observation 548991b5-8b95-49eb-b3c8-66916b78b211 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Openeqa: Embodied question answering in the era of foundation models
Reference 19
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Observation 5581c8c9-120a-4255-9a2d-5792b8eff9e3 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
Reference 20
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Observation fe63365b-d6bc-407a-8c4c-1c2041e1069d · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning
Reference 21
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Observation 8ced36ac-6223-4941-bdca-291caf44874f · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Aerialvla: A vision-language-action model for aerial navigation with online dialogue
Reference 22
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Observation f2ba1898-2fca-4197-bd69-442c2e18eea1 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Aerialvla: A vision- language-action model for uav navigation via minimalist end-to-end control.arXiv preprint arXiv:2603.14363, 2026
Reference 23
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Observation 098b9c78-b15a-4f83-a880-67c1cbc8f38a · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Mavic series
Reference 25
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Observation b46ea428-49c4-4da0-b81e-35ae23e938cd · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Multi-Target Embodied Question Answering
Reference 26
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Observation fea6b4db-f737-4b5f-9395-37cbab92dbec · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Industryeqa: Pushing the frontiers of embodied question answering in industrial scenarios.Advances in Neural Information Processing Systems, 38, 2026
Reference 27
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Observation f4e95713-119c-4626-8a32-8929e5a75eab · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Multi-step reasoning for embodied question answering via tool augmentation.arXiv preprint arXiv:2510.20310, 2025
Reference 28
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Observation b460c1fa-d17f-445e-b91f-770c810766ac · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Knowledge-based em- bodied question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):11948–11960, 2023
Reference 29
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Observation eb030fc7-cfe1-4118-b96c-f17ea16bd1b6 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception VideoNavQA: Bridging the gap between visual and embodied question answering
Reference 30
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Observation 097ba459-cb3b-44d3-9782-783d1c3b62a3 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Memory-centric embodied question answering.arXiv preprint arXiv:2505.13948, 2025
Reference 31
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Observation 8e1caeaa-6064-4cdd-9829-f951c64c9d2b · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Episodic memory question answering
Reference 32
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Observation e2635e1a-2363-4e59-9369-2011fa8e4c8d · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Multi-agent embodied question answering in interactive environments
Reference 33
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Observation 8b2825cb-e159-4977-958f-d5338ee6b098 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries
Reference 34
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Observation 074a669d-9ec7-46fc-9d82-c67a73c5afa1 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
Reference 35
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Observation 776eb022-43ef-48f7-9c04-7501ff7a1945 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Uav-on: A benchmark for open-world object goal navigation with aerial agents
Reference 36
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Observation efd1f51d-619f-4091-8a1f-068260d378aa · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Indooruav: Benchmarking vision-language uav navigation in continuous indoor environments
Reference 37
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Observation 026190fb-e32c-458b-87be-f20542d397a5 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Air-vla: Vision-language-action systems for aerial manipulation.arXiv preprint arXiv:2601.21602, 2026
Reference 38
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Observation 2c229466-2b31-43c1-9ddc-70d50477bf56 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception VLA-AN: An efficient and onboard vision- language-action framework for aerial navigation in complex environments.arXiv preprint arXiv:2512.15258, 2025
Reference 39
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Observation 057029e5-39c9-4c7f-816d-963169280aac · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception OpenVLA: An Open-Source Vision-Language-Action Model
Reference 40
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Observation c02cd7a0-9197-4e15-8cda-5535448c17f8 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 41
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Observation 869d661f-12a4-471c-8c85-55cf9eee093d · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 42
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Observation 94f49250-5742-44d6-acaa-14475489b62d · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Reference 43
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Observation aa0a460a-161a-4b13-b12a-fafe34fc1bf7 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023
Reference 44
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Observation 6f7c071d-7129-4c51-863a-afd7b06c035b · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception OpenAI GPT-5 System Card
Reference 45
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Observation a3ab3178-5c1a-4cec-bf0e-ed97d8d6f24f · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 46
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Observation d2ee9151-8742-43c0-981b-d1045c6331a2 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Qwen3 Technical Report
Reference 47
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Observation 5082e87e-70d3-4112-8847-bf8fca0d5a52 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 48
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Observation 5d74056e-16ef-465e-8911-350007963c11 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Reference 49
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Observation dbeaa07e-23b9-468f-b1f1-d779179dcf60 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter.IEEE Robotics and Automation Letters, 6(2):3317–3324, 2021
Reference 50
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Observation 2d699a46-bd72-4baf-af85-277815db9aa3 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception GPT-4 Technical Report
Reference 51
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Observation 7fffb3cc-b9e3-4c35-a477-df6d862a0273 · outbound
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Qwen3-VL Technical Report
Reference 52
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Observation 09f3f1a1-256e-4ab1-8600-97f619134f02 · outbound
Reference 53
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No inbound Pith citation observations are available.