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Paper Citation Record · LEDGER

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception

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.

pith.paper-citation-record.v1
2607.10180 v1

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measured 52 of 52 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T13:42:23.610697Z

measured 52 of 52 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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52 of 52 outbound references displayed

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Outbound references

Observation f00c4257-91e6-46ae-bb25-de4c7e84348c · outbound

This paper cites Aligning cyber space with physical world: A comprehensive survey on embodied ai.

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

This paper cites Ddl: Empowering delivery drones with large-scale urban sensing capability.IEEE Journal of Selected Topics in Signal Processing, 18(3):502–515, 2024.

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

This paper cites Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning.IEEE Robotics and Automation Letters, 6(2):779–786, 2021.

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

This paper cites Ego-planner: An esdf-free gradient-based local planner for quadrotors.IEEE Robotics and Automation Letters, 6(2):478– 485, 2020.

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

This paper cites Aerialvln: Vision-and-language navigation for uavs.

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

This paper cites Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology.

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

This paper cites Openfly: A comprehensive platform for aerial vision-language navigation.arXiv preprint arXiv:2502.18041, 2025.

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

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

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

This paper cites Openvln: Open- world aerial vision-language navigation.arXiv preprint arXiv:2511.06182, 2025.

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

This paper cites Reid, Stephen Gould, and Anton van den Hengel.

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

This paper cites Beyond the nav-graph: Vision-and-language navigation in continuous environments.

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

This paper cites Touchdown: Natural language navigation and spatial reasoning in visual street environments.

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

This paper cites Room-across- room: Multilingual vision-and-language navigation with dense spatiotemporal grounding.

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

This paper cites Embodied question answering.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Embodied question answering

Reference 14

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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:2b86a78fc8b70d7c0c864509ba704f03d28d0590bf5eae2a02036096eeaf5511

Observation 3cc91ddb-a1fc-4936-91d4-d141901c0aa0 · outbound

This paper cites Eqa-mx: Embodied question answering using multimodal expression.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:8675f1d6df8d2426e79f53e8284f70125e4e59701008719325046185c9866ed7

Observation 1b4b831e-eba6-474a-8850-5eefb62f48d6 · outbound

This paper cites Embodied Question Answering in photorealistic environments with point cloud perception.

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

This paper cites CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.

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

This paper cites Explore until confident: Efficient exploration for embodied question answering.

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

This paper cites Openeqa: Embodied question answering in the era of foundation models.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:92d12485024e4f046cf79f2542096c417a9d3d76c8f00925ee2323a9133315e8

Observation 5581c8c9-120a-4255-9a2d-5792b8eff9e3 · outbound

This paper cites Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:44e5174ffb869d79445d4c4fdf53b5ba722d29b0777e9c0c633ab01cfb249e84

Observation fe63365b-d6bc-407a-8c4c-1c2041e1069d · outbound

This paper cites UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning.

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

This paper cites Aerialvla: A vision-language-action model for aerial navigation with online dialogue.

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

This paper cites Aerialvla: A vision- language-action model for uav navigation via minimalist end-to-end control.arXiv preprint arXiv:2603.14363, 2026.

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

This paper cites Mavic series.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Mavic series

Reference 25

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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:11346c5ff89a02d8d8b607b31758f82a6bbc857ec676367bc7c4f3279101d1f1

Observation b46ea428-49c4-4da0-b81e-35ae23e938cd · outbound

This paper cites Multi-Target Embodied Question Answering.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:9ba3685ca38d941b7312c38c19bdcf2026ae172ea5fa1178025d3fb6664632a7

Observation fea6b4db-f737-4b5f-9395-37cbab92dbec · outbound

This paper cites Industryeqa: Pushing the frontiers of embodied question answering in industrial scenarios.Advances in Neural Information Processing Systems, 38, 2026.

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

This paper cites Multi-step reasoning for embodied question answering via tool augmentation.arXiv preprint arXiv:2510.20310, 2025.

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

This paper cites Knowledge-based em- bodied question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):11948–11960, 2023.

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

This paper cites VideoNavQA: Bridging the gap between visual and embodied question answering.

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

This paper cites Memory-centric embodied question answering.arXiv preprint arXiv:2505.13948, 2025.

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

This paper cites Episodic memory question answering.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Episodic memory question answering

Reference 32

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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:78243f7acad1deedb4ce7b7a8643694fedc09fe7c293f2a992806bcb363e367b

Observation e2635e1a-2363-4e59-9369-2011fa8e4c8d · outbound

This paper cites Multi-agent embodied question answering in interactive environments.

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

This paper cites NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries.

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

This paper cites CityNav: A Large-Scale Dataset for Real-World Aerial Navigation.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:37692f3d788704307ee727f6b7d4893f1ee93aa07b2d7960087f9c310365659d

Observation 776eb022-43ef-48f7-9c04-7501ff7a1945 · outbound

This paper cites Uav-on: A benchmark for open-world object goal navigation with aerial agents.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:e86de7d9599f7623af1e8a79efc7e8d534e1d1f54f025ea4fd5f422249443dde

Observation efd1f51d-619f-4091-8a1f-068260d378aa · outbound

This paper cites Indooruav: Benchmarking vision-language uav navigation in continuous indoor environments.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:16c48a7a63dba6fde7d31fa3f8e728932d89ec0772bb80b851b705b45fe4e6b8

Observation 026190fb-e32c-458b-87be-f20542d397a5 · outbound

This paper cites Air-vla: Vision-language-action systems for aerial manipulation.arXiv preprint arXiv:2601.21602, 2026.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:bfd1c2661524ee0b88fb1ea5471450b02b51faa96e9f207b447ae53c09541dee

Observation 2c229466-2b31-43c1-9ddc-70d50477bf56 · outbound

This paper cites VLA-AN: An efficient and onboard vision- language-action framework for aerial navigation in complex environments.arXiv preprint arXiv:2512.15258, 2025.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:b1c5b1ddbcd01a6d8d1cce245aac3500951bf6208e9591cce38f6b944c73e2bb

Observation 057029e5-39c9-4c7f-816d-963169280aac · outbound

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

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:66aa3cf480ee48133ad4020a6f2231f939237feab7e7d4917948539231e25dcf

Observation c02cd7a0-9197-4e15-8cda-5535448c17f8 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:b6c0cbb3b560241ec489a28a6513a79856a2974cea2e4b4d6397621024ea06c6

Observation 869d661f-12a4-471c-8c85-55cf9eee093d · outbound

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

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:be258bcdd586e12c37bdd39232f072894ff492b0e337b7cff6c074c6ca74df5b

Observation 94f49250-5742-44d6-acaa-14475489b62d · outbound

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

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:af0d0598b37e4bf5ddf8bc74f7d292e2cefee1e755efa21d948e681eb67d5065

Observation aa0a460a-161a-4b13-b12a-fafe34fc1bf7 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:912e5a6472f447a8f963168513f3ee6b3e57b91f50c6c3d103c88a3dad468417

Observation 6f7c071d-7129-4c51-863a-afd7b06c035b · outbound

This paper cites OpenAI GPT-5 System Card.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:fd1dd8c6638c8d82a1cad2a357d083a58ae7a0ff5a884c612b5bc7935ca8a625

Observation a3ab3178-5c1a-4cec-bf0e-ed97d8d6f24f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:4aa1bf85795fb37fe4a11af95122b79622cd425ec0b160409ab94b113865d8d3

Observation d2ee9151-8742-43c0-981b-d1045c6331a2 · outbound

This paper cites Qwen3 Technical Report.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception Qwen3 Technical Report

Reference 47

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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:12864e81434a1fefe2801959a02a6692caec62af7860a17eafb31f851b583787

Observation 5082e87e-70d3-4112-8847-bf8fca0d5a52 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:fcbfd09338c36eef9649fcd2b14e3837ebb3c2070dce3e2b7e2d0762d2652b32

Observation 5d74056e-16ef-465e-8911-350007963c11 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:175542f0c8830ef8c89c9556c59581e485e33d8e426cdbaa50333695bc386aa5

Observation dbeaa07e-23b9-468f-b1f1-d779179dcf60 · outbound

This paper cites 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.

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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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:13368ff5a560fe1c7b2465cf2e4f2ad267fe376facd40bb0a443974a82a17488

Observation 2d699a46-bd72-4baf-af85-277815db9aa3 · outbound

This paper cites GPT-4 Technical Report.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception GPT-4 Technical Report

Reference 51

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source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:4b1cb02b5eec445c6307f75fe30bacc54fc21db906d70743a077ff0c2d4ef8c2

Observation 7fffb3cc-b9e3-4c35-a477-df6d862a0273 · outbound

This paper cites Qwen3-VL Technical Report.

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

This paper cites move up",.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception move up",

Reference 53

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Pith citing papers

No inbound Pith citation observations are available.