Paper Citation Record · LEDGER

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.24014.

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

pith.paper-citation-record.v1
2605.24014 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d2e426e-0573-4f57-8a57-12bf3bb72a16 · outbound

This paper cites mmuavsense: mmwave radar-based uav detection via fine-grained rotary sensing,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild mmuavsense: mmwave radar-based uav detection via fine-grained rotary sensing,

Reference 1

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Observation e6c0d77b-5d3e-4836-ae57-172b8859bc4a · outbound

This paper cites Lodgenet: Improved rice lodging recognition using semantic segmentation of uav high-resolution remote sensing images,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Lodgenet: Improved rice lodging recognition using semantic segmentation of uav high-resolution remote sensing images,

Reference 2

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Observation 9a3232b5-17bc-47b6-b99b-b05d1ace9a58 · outbound

This paper cites Uav-based low altitude remote sensing for concrete bridge multi-category damage automatic detection system,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Uav-based low altitude remote sensing for concrete bridge multi-category damage automatic detection system,

Reference 3

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Observation e0562009-0815-48e2-98cd-f039c7db10ef · outbound

This paper cites Real- time and intelligent flood forecasting using uav-assisted wireless sensor network,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Real- time and intelligent flood forecasting using uav-assisted wireless sensor network,

Reference 4

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Observation c2772816-d8db-43f8-97d2-9f7e128664df · outbound

This paper cites Algorithms for semantic seg- mentation of multispectral remote sensing imagery using deep learning,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Algorithms for semantic seg- mentation of multispectral remote sensing imagery using deep learning,

Reference 5

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Source-reported events for the cited work

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Observation 66cc7cb5-db64-41a1-ab51-7a45ed92c979 · outbound

This paper cites Uav in the advent of the twenties: Where we stand and what is next,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Uav in the advent of the twenties: Where we stand and what is next,

Reference 6

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Observation b2afc338-caa7-48e0-97f6-3541a3e27632 · outbound

This paper cites Energy- efficient trajectory design for uav-enabled wireless communications with latency constraints,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Energy- efficient trajectory design for uav-enabled wireless communications with latency constraints,

Reference 7

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Observation f202ad6d-6211-4a09-9c94-ed92ee8a7a76 · outbound

This paper cites Light-weight semantic segmentation network for uav remote sensing images,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Light-weight semantic segmentation network for uav remote sensing images,

Reference 8

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Observation 0e88ccae-44b5-4ced-bb35-2a9b3a945e71 · outbound

This paper cites Improving robustness against common corruptions by covariate shift adaptation,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Improving robustness against common corruptions by covariate shift adaptation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.397871Z

Source-reported events for the cited work

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Observation e34d5d88-1b81-4c17-b912-3ffcccc1a00b · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Reference 10

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Observation 096c2e53-586d-4ae3-96bf-4eb0f2f483b1 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 11

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Observation 4594ea32-cbdd-4cab-8032-4385ed5c2e85 · outbound

This paper cites Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture,

Reference 12

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Observation 12acf795-5194-4ac6-b941-b012d14f7209 · outbound

This paper cites Lightweight semantic segmentation network for real-time weed map- ping using unmanned aerial vehicles,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Lightweight semantic segmentation network for real-time weed map- ping using unmanned aerial vehicles,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.484465Z

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Observation 8ee32ec0-5b8f-44b5-898f-2a20fc466408 · outbound

This paper cites Methods and datasets on semantic segmentation for unmanned aerial vehicle remote sensing images: A review,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Methods and datasets on semantic segmentation for unmanned aerial vehicle remote sensing images: A review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.476684Z

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Observation 63b6c611-0685-4e3b-95c4-1d90dd5d6059 · outbound

This paper cites Mavnet: An effective semantic segmentation micro-network for mav-based tasks,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Mavnet: An effective semantic segmentation micro-network for mav-based tasks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.479296Z

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Observation 5e3e620d-f577-42f4-af50-948a8bee0fbc · outbound

This paper cites Rtsdm: A real- time semantic dense mapping system for uavs,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Rtsdm: A real- time semantic dense mapping system for uavs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.481889Z

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Observation c8f3be92-e0b7-464f-bf35-9cc96d79e814 · outbound

This paper cites Semantic segmentation of lightweight unmanned aerial vehicles in sea scenes,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Semantic segmentation of lightweight unmanned aerial vehicles in sea scenes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.462545Z

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Observation c4b6ca85-8f40-4807-9345-575a071f57f9 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Encoder- decoder with atrous separable convolution for semantic image segmen- tation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.457047Z

Source-reported events for the cited work

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Observation 7c74900b-af02-4bd1-a3d8-ffb36d93cfdb · outbound

This paper cites A lightweight cnn-transformer network with laplacian loss for low-altitude uav imagery semantic segmentation,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild A lightweight cnn-transformer network with laplacian loss for low-altitude uav imagery semantic segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.465680Z

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Observation 1ff0bbb9-647b-4193-b933-0f1a51dee9b7 · outbound

This paper cites Skystitch: A cooperative multi-uav- based real-time video surveillance system with stitching,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Skystitch: A cooperative multi-uav- based real-time video surveillance system with stitching,

Reference 20

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Observation 1b6194d3-764f-47d4-9be8-938a3efde6ce · outbound

This paper cites Design and implementation of multi- uav cooperation search experimental platform,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Design and implementation of multi- uav cooperation search experimental platform,

Reference 21

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Observation 9a878114-5ce7-44ce-bc33-e8ae1604c8c1 · outbound

This paper cites Multi-uav cooperative system for search and rescue based on yolov5,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Multi-uav cooperative system for search and rescue based on yolov5,

Reference 22

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Observation 520ab447-a3e3-45c4-9b6d-8a34c70d49ff · outbound

This paper cites Skynet: Multi-drone cooperation for real-time person identification and localization,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Skynet: Multi-drone cooperation for real-time person identification and localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.451781Z

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Observation 910d15bb-f800-45a1-9c3d-a31939cbe0d5 · outbound

This paper cites Air-cad: Edge-assisted multi-drone network for real-time crowd anomaly detection,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Air-cad: Edge-assisted multi-drone network for real-time crowd anomaly detection,

Reference 24

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Observation 9273234d-0111-418a-8db9-f626fe502ae7 · outbound

This paper cites A review of semantic segmentation using deep neural networks,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild A review of semantic segmentation using deep neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.439229Z

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Observation af67a248-e1e3-4e3f-8ce6-1874742ccdfa · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.454484Z

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Observation fa2cbb2c-7a41-493a-a7f2-eba8d860a63d · outbound

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SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Unresolved cited work

Reference 27

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Observation 943f348f-95e6-4d19-bfbe-beffd2858e7b · outbound

This paper cites A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications,

Reference 28

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Observation 813a2d45-a4dd-477f-ba75-ffb772193f7a · outbound

This paper cites Memory- constrained semantic segmentation for ultra-high resolution uav im- agery,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Memory- constrained semantic segmentation for ultra-high resolution uav im- agery,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.436648Z

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Observation e9f3d794-0422-474b-a5c2-d8b0c7a32e35 · outbound

This paper cites Outdoor navigation using two quadrotors and adaptive sliding mode control,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Outdoor navigation using two quadrotors and adaptive sliding mode control,

Reference 30

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Observation 222ff682-fe77-46bd-a8d6-3ab7c085beb4 · outbound

This paper cites Diffrate: Differentiable compression rate for efficient vision transformers,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Diffrate: Differentiable compression rate for efficient vision transformers,

Reference 31

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Observation 0fe362a6-96a0-453e-8aff-6dac69858958 · outbound

This paper cites Sparse refinement for efficient high-resolution semantic segmentation,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Sparse refinement for efficient high-resolution semantic segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.421598Z

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Observation ea615103-5cb4-4272-9da8-4e7353f5d4cd · outbound

This paper cites Benchmarking the robustness of semantic segmentation models,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Benchmarking the robustness of semantic segmentation models,

Reference 33

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Observation fde75524-4240-44ea-958c-de591a89c3d3 · outbound

This paper cites Online normalization for training neural networks,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Online normalization for training neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.413931Z

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Observation 25b68375-6856-4122-9718-3fcecd15203e · outbound

This paper cites Robust test-time adaptation in dynamic scenarios,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Robust test-time adaptation in dynamic scenarios,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.416687Z

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Observation c3bdf128-f7cf-47d5-804b-51e264b6bd0c · outbound

This paper cites Mecta: Memory-economic continual test-time model adaptation.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Mecta: Memory-economic continual test-time model adaptation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.419201Z

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Observation f5058008-8e56-446f-948e-35f3b67b6a11 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild A comprehensive survey on test-time adaptation under distribution shifts,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.424188Z

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Observation e1bc4c0c-7ce7-4e3b-809f-ecc8b5a66683 · outbound

This paper cites Towards Stable Test-Time Adaptation in Dynamic Wild World.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Towards Stable Test-Time Adaptation in Dynamic Wild World

Reference 38

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Observation b98aa6c0-9e8c-4d3d-bac7-3f3d99227293 · outbound

This paper cites Distribution-aware continual test-time adaptation for semantic segmentation,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Distribution-aware continual test-time adaptation for semantic segmentation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.403936Z

Source-reported events for the cited work

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Observation aee7fc19-014f-4faa-b447-1a7e9315ed5a · outbound

This paper cites Real-time identification of rice weeds by uav low-altitude remote sensing based on improved semantic segmentation model,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Real-time identification of rice weeds by uav low-altitude remote sensing based on improved semantic segmentation model,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.406605Z

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Observation d301efb3-b41c-471e-9284-03c3bbb2003c · outbound

This paper cites Research on detection and tracking technology of quad-rotor aircraft based on open source flight control,.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Research on detection and tracking technology of quad-rotor aircraft based on open source flight control,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.408926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a9b9c47-a456-4537-af58-de7ffe19217b · outbound

This paper cites Automatic differentiation in pytorch.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Automatic differentiation in pytorch

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.434283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bdad07df-610f-443c-a05b-0ea9849e23c5 · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding.

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild Floodnet: A high resolution aerial imagery dataset for post flood scene understanding

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:04:45.401179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.