Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings | Paper Citation Record

Observation fba0d00f-12eb-4245-aa28-e155a10ad862 · outbound

This paper cites A transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw,

Reference 1

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correction dated 2025-03-26. Source: crossref record 10.1038/s43247-025-02204-5->10.1038/s43247-024-01883-w:correction, observed 2026-07-11T03:06:52.28519+00:00. This notice travels one citation hop only.

Observation 2dc71e60-f0da-485b-aaa2-55e1e11bbf24 · outbound

This paper cites Environmental Impacts from Projected Permafrost Thaw in Alaska: Defining Knowledge Gaps, Data Needs, and Research Priorities,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Environmental Impacts from Projected Permafrost Thaw in Alaska: Defining Knowledge Gaps, Data Needs, and Research Priorities,

Reference 2

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Observation f056f6f2-5d2a-43f0-87fc-093fd24734bd · outbound

This paper cites Unmet Needs of Environmentally Threatened Alaska Native Villages: Assessment and Recommendations,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Unmet Needs of Environmentally Threatened Alaska Native Villages: Assessment and Recommendations,

Reference 3

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Observation 4aca0aa5-33ac-432c-8405-9818f2e7b846 · outbound

This paper cites The Arctic has warmed nearly four times faster than the globe since 1979,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings The Arctic has warmed nearly four times faster than the globe since 1979,

Reference 4

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Observation f593abf9-20d8-48a7-9471-93142985796d · outbound

This paper cites Climate-driven thaw of permafrost preserved glacial landscapes, northwestern Canada,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Climate-driven thaw of permafrost preserved glacial landscapes, northwestern Canada,

Reference 5

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Observation 9e0e77cb-5580-42fe-bff2-ef57dd3317bb · outbound

This paper cites Increase in Arctic coastal erosion and its sensitivity to warming in the twenty-first century,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Increase in Arctic coastal erosion and its sensitivity to warming in the twenty-first century,

Reference 6

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Observation b16ae737-29c8-4e59-acb8-b81f6f8113d8 · outbound

This paper cites Impacts of permafrost degradation on infrastructure,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Impacts of permafrost degradation on infrastructure,

Reference 7

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Observation 7713881d-b764-4eed-bc17-7c06543f21bc · outbound

This paper cites Permafrost and Climate Change: Carbon Cycle Feedbacks From the Warming Arctic,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Permafrost and Climate Change: Carbon Cycle Feedbacks From the Warming Arctic,

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T11:17:57.695155Z

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Observation 4f72b99a-eb04-4e64-9520-debecde6456b · outbound

This paper cites Towards long-term records of rain-on-snow events across the Arctic from satellite data,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Towards long-term records of rain-on-snow events across the Arctic from satellite data,

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T11:17:57.514986Z

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Observation 32d78266-edd3-4d7a-93c9-4f019e826327 · outbound

This paper cites The capillaries of the Arctic tundra,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings The capillaries of the Arctic tundra,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:03.929053Z

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Observation 70b2f688-5b02-4da9-bffb-ede595304055 · outbound

This paper cites An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery,

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T11:17:57.348086Z

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Observation 2df0d822-9f0b-479c-a58b-775c49893ce1 · outbound

This paper cites Use of commercial satellite imagery to monitor changing arctic polygonal tundra,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Use of commercial satellite imagery to monitor changing arctic polygonal tundra,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:03.750172Z

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This paper cites An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery,

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T11:17:57.114823Z

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Observation 2e503a86-153f-45ad-a45b-8adfad2a16b6 · outbound

This paper cites Rapid Changes in Retrogressive Thaw Slump Dynamics in the Russian High Arctic Based on Very High-Resolution Remote Sensing,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Rapid Changes in Retrogressive Thaw Slump Dynamics in the Russian High Arctic Based on Very High-Resolution Remote Sensing,

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T11:17:56.973935Z

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Observation efd8c4f1-a918-4f56-a5e9-eff3a49ce4b3 · outbound

This paper cites A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards,

Reference 15

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Observation a698eb59-f407-4849-bb12-98edeef3c114 · outbound

This paper cites A multi- objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A multi- objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery,

Reference 16

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Observation 90759cee-c586-4f7d-ada9-69e886fe9cf8 · outbound

This paper cites Permafrost thaw-related infrastructure damage costs in Alaska are projected to double under medium and high emission scenarios,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Permafrost thaw-related infrastructure damage costs in Alaska are projected to double under medium and high emission scenarios,

Reference 17

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:03.581068Z

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Observation b5a8420d-bdb4-4f06-8e7a-cbb20e0b53cb · outbound

This paper cites PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention,

Reference 19

Resolution: verified exact; doi, observed 2026-08-07T11:17:56.643188Z

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Observation 0b24db86-85eb-4825-b388-2d926641ce4b · outbound

This paper cites Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning,

Reference 20

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Observation 801dadf9-6236-4ab2-b036-782978545910 · outbound

This paper cites SatMAE: pre-training transformers for temporal and multi-spectral satellite imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings SatMAE: pre-training transformers for temporal and multi-spectral satellite imagery,

Reference 21

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Observation 770422cb-a95e-4335-ab84-adf52259c1f2 · outbound

This paper cites Morphological Building/Shadow Index for Building Extraction From High-Resolution Imagery Over Urban Areas,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Morphological Building/Shadow Index for Building Extraction From High-Resolution Imagery Over Urban Areas,

Reference 22

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Observation a1094939-9099-4ba5-9948-f904a867abdf · outbound

This paper cites DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images,

Reference 23

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This paper cites GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization

Reference 24

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Observation 70b9609b-9fb8-45c6-b7e5-cd4119dcfae1 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Learning Transferable Visual Models From Natural Language Supervision,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:03.235521Z

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Observation 6c1f4d8e-dabd-465b-8698-489df2b682bf · outbound

This paper cites A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:17:56.489432Z

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This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 27

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Observation 115219c8-be8c-43f1-b77e-958232c65dbd · outbound

This paper cites A relative evaluation of multiclass image classification by support vector machines,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A relative evaluation of multiclass image classification by support vector machines,

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:18:00.458836Z

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Observation e99c84e7-f6a1-4fa5-a3b4-a99734aa20fe · outbound

This paper cites Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques,

Reference 29

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Observation 8c44ff00-6e9a-4c14-ba57-35f7af9a3548 · outbound

This paper cites Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,

Reference 30

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This paper cites Classification of hyperspectral remote sensing images with support vector machines,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Classification of hyperspectral remote sensing images with support vector machines,

Reference 31

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Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Support vector machines for classification of hyperspectral data,

Reference 32

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This paper cites Support vector machines in remote sensing: A review,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Support vector machines in remote sensing: A review,

Reference 33

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This paper cites Introduction Neural networks in remote sensing,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Introduction Neural networks in remote sensing,

Reference 34

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This paper cites A technique for the selection of kernel- function parameters in RBF neural networks for classification of remote-sensing images,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A technique for the selection of kernel- function parameters in RBF neural networks for classification of remote-sensing images,

Reference 35

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Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Reducing the Dimensionality of Data with Neural Networks,

Reference 36

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This paper cites Deep learning in remote sensing applications: A meta-analysis and review,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Deep learning in remote sensing applications: A meta-analysis and review,

Reference 37

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This paper cites Deep Convolutional Neural Networks for Hyperspectral Image Classification,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Deep Convolutional Neural Networks for Hyperspectral Image Classification,

Reference 38

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This paper cites Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources,

Reference 39

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This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,

Reference 41

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Observation 05f80e68-016d-4e5f-80da-2eb4b279b5a1 · outbound

This paper cites Semantic texton forests for image categorization and segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Semantic texton forests for image categorization and segmentation,

Reference 42

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings U-Net: Convolutional Networks for Biomedical Image Segmentation,

Reference 43

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This paper cites Mask r-cnn,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Mask r-cnn,

Reference 44

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This paper cites FCOS: Fully Convolutional One-Stage Object Detection,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings FCOS: Fully Convolutional One-Stage Object Detection,

Reference 45

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This paper cites CenterMask: Real-Time Anchor-Free Instance Segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings CenterMask: Real-Time Anchor-Free Instance Segmentation,

Reference 46

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This paper cites Masked-Attention Mask Transformer for Universal Image Segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Masked-Attention Mask Transformer for Universal Image Segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:02.771028Z

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Observation 55db46b0-a599-4955-90dd-6c95ab2c0e3c · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,

Reference 48

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This paper cites Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,

Reference 50

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This paper cites ImageNet: A large-scale hierarchical image database,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings ImageNet: A large-scale hierarchical image database,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.030832Z

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Observation c4765dd7-3b09-4158-ab9a-d47f67a5b505 · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings ImageNet Classification with Deep Convolutional Neural Networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:02.443935Z

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Observation 898ba2c9-989e-402b-beaf-b397cc139a51 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.318453Z

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Observation b1c24b11-3efd-4053-a1ee-322aed6ed0c3 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Deep Residual Learning for Image Recognition,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.427726Z

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Observation 939baaa4-b0fc-45ea-8fdf-94d9ac0e86fc · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Training data-efficient image transformers & distillation through attention,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:02.596359Z

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

Observation 8ab5abb8-4ca3-4a0d-ab6e-e39a49dfe3fa · outbound

This paper cites Exploring Plain Vision Transformer Backbones for Object Detection.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Exploring Plain Vision Transformer Backbones for Object Detection

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.608439Z

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Observation 9fa4b16c-6cc0-439c-97bd-a1b4ad44c6c8 · outbound

This paper cites TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.702663Z

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Observation c0079dd7-0583-4ca9-ac91-54e87cd8439d · outbound

This paper cites Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.790325Z

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Observation 6b7f5e51-514e-40d6-8a16-b876189885c5 · outbound

This paper cites Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:54.902069Z

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Observation a7400643-d3d9-471a-b0e5-79c12b27a3a4 · outbound

This paper cites Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:02.116728Z

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

Observation 54e6d5c9-7d91-48a0-b10c-cdf7778d3563 · outbound

This paper cites an unresolved cited work.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:01.944019Z

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.

Observation 324cea8e-f005-4eba-8d92-de6abe88f8e3 · outbound

This paper cites Frontera: The Evolution of Leadership Computing at the National Science Foundation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Frontera: The Evolution of Leadership Computing at the National Science Foundation,

Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:17:58.846930Z

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Observation ed91c4e3-5bec-4f91-a1ba-c532550acf54 · outbound

This paper cites Lonestar6.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Lonestar6

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:01.778179Z

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

Observation d367423d-5bdd-4bef-a491-5e291b033e60 · outbound

This paper cites Google Cloud Documentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Google Cloud Documentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:01.608664Z

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.

Observation be04df60-45fb-4855-a2a9-df70f8801c2d · outbound

This paper cites MIT Press, 2016.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings MIT Press, 2016

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:01.302722Z

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.

Observation 6f4ce893-b777-49e4-b69e-2917b570eee2 · outbound

This paper cites A raster version of the Circumpolar Arctic Vegetation Map (CAVM),.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A raster version of the Circumpolar Arctic Vegetation Map (CAVM),

Reference 66

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:17:58.566964Z

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.

Observation edeb5be3-4d3a-45ac-b272-d1d205f68fa7 · outbound

This paper cites Circum-Arctic map of permafrost and ground-ice conditions,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Circum-Arctic map of permafrost and ground-ice conditions,

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:17:55.589230Z

Source-reported events for the cited work

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Observation e0434417-bddf-4621-a09c-71419252c8a2 · outbound

This paper cites Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:55.649787Z

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Observation 319728b1-6fd4-4c63-b04a-b34159f03f3b · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Fully convolutional networks for semantic segmentation,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:55.742324Z

Source-reported events for the cited work

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Observation afa57e04-3c51-4bd0-9eb2-e23a90b7ce70 · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Microsoft COCO: Common Objects in Context,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:55.829619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6379a4e-9777-473b-b6d1-8932ccc7bd0e · outbound

This paper cites He has a PhD in Computer Science.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings He has a PhD in Computer Science

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:01.160694Z

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.

Observation fbeaa030-7722-4fda-9a05-fb7cfb5826df · outbound

This paper cites 07, 2025.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings 07, 2025

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:02.261864Z

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.

Observation 0b737197-a9a1-4f4d-a294-18b9a2f5e742 · outbound

This paper cites Her research interests include cyberinfrastructure, geospatial big data, GeoAI, and their applications in data-intensive environmental and social sciences.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Her research interests include cyberinfrastructure, geospatial big data, GeoAI, and their applications in data-intensive environmental and social sciences

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:00.954203Z

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.

Observation 55a8a271-3cc4-4dce-b917-2ecbd85845f5 · outbound

This paper cites Available: https://cloud.google.com/docs.

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings Available: https://cloud.google.com/docs

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:01.462076Z

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.

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