Paper Citation Record · LEDGER

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2510.09458.

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

pith.paper-citation-record.v1
2510.09458 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:36:26.043837Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T15:08:18.453684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:36:07.746067Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy0
unresolved48
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81dc0d3f-7f43-406f-a0d5-1963d7f92b02 · outbound

This paper cites Digiforests: a Longitudinal Lidar Dataset for Forestry Robotics,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Digiforests: a Longitudinal Lidar Dataset for Forestry Robotics,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.421724Z

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Unavailable: canonical work link unavailable.

Observation b35b0cbb-18f5-4805-9c41-90a8102c63eb · outbound

This paper cites A review of UAS-based estimation of forest traits and characteristics in landscape ecology,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests A review of UAS-based estimation of forest traits and characteristics in landscape ecology,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.457535Z

Source-reported events for the cited work

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Observation ef2c8499-7f66-410a-ae22-4b3639d22776 · outbound

This paper cites Build- ing Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Build- ing Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.525639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b276b5e-27cc-4295-874b-f13fd3668f92 · outbound

This paper cites Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Col- lected by Mobile Robots,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Col- lected by Mobile Robots,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.577860Z

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Observation d0447bc0-1bb3-41b6-9dad-a5f9d012aac3 · outbound

This paper cites Robotic Precision Harvesting: Mapping, Localization, Plan- ning and Control for a Legged Tree Harvester,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Robotic Precision Harvesting: Mapping, Localization, Plan- ning and Control for a Legged Tree Harvester,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.616044Z

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Unavailable: canonical work link unavailable.

Observation 36b3d33a-25bd-43f8-8207-c37761653026 · outbound

This paper cites SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.672745Z

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Unavailable: canonical work link unavailable.

Observation 7738ebdf-9562-4575-8ebc-91994067429d · outbound

This paper cites A Stereo Visual- Inertial SLAM Algorithm with Point-Line Fusion and Semantic Optimization for Forest Environments,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests A Stereo Visual- Inertial SLAM Algorithm with Point-Line Fusion and Semantic Optimization for Forest Environments,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.718964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c0852d-df5b-447c-891e-60395aa002c9 · outbound

This paper cites OpenForest: A data catalogue for machine learning in forest monitoring.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests OpenForest: A data catalogue for machine learning in forest monitoring

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.772957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c11cf9a-b1c3-4519-8ebb-fe297c1cf900 · outbound

This paper cites FinnWoodlands Dataset,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests FinnWoodlands Dataset,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.844501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570cbcd1-8dea-4086-ac7e-f9547a3f19e8 · outbound

This paper cites Classification of tree species and stock volume estimation in ground forest images using Deep Learning,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Classification of tree species and stock volume estimation in ground forest images using Deep Learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.919220Z

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Unavailable: canonical work link unavailable.

Observation befdf739-e117-4c0c-ae1a-a07340fe60de · outbound

This paper cites Automated identification of tree species from images of the bark, leaves and needles,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Automated identification of tree species from images of the bark, leaves and needles,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.975953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5efb4840-0e8c-457e-acb9-a281cd1a4571 · outbound

This paper cites A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning- Based Methods,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning- Based Methods,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.028214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b48ef969-1bc0-489c-97da-e387105d4732 · outbound

This paper cites Compar- ison of Backpack, Handheld, Under-Canopy UA V, and Above-Canopy UA V Laser Scanning for Field Reference Data Collection in Boreal Forests,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Compar- ison of Backpack, Handheld, Under-Canopy UA V, and Above-Canopy UA V Laser Scanning for Field Reference Data Collection in Boreal Forests,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.119718Z

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Unavailable: canonical work link unavailable.

Observation b0445696-2c53-4552-a4f3-71d95f8fa33c · outbound

This paper cites Mapping Forest Parameters to Model the Mobility of Terrain Vehicles,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Mapping Forest Parameters to Model the Mobility of Terrain Vehicles,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.162063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd57134-7b3f-4c4f-8450-d2e7bd334e2e · outbound

This paper cites TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.228333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2158f483-adb5-4968-a237-0122116ebe16 · outbound

This paper cites SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.289682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb51140-5bfa-41c4-89f7-c8086d1ef51d · outbound

This paper cites Bench- marking tree species classification from proximally sensed laser scanning data: Introducing the FOR- species20K dataset,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Bench- marking tree species classification from proximally sensed laser scanning data: Introducing the FOR- species20K dataset,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.343599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfff3545-037d-4df7-86f1-3ac5de4a670e · outbound

This paper cites Automated pruning decisions in dormant sweet cherry canopies using instance segmentation,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Automated pruning decisions in dormant sweet cherry canopies using instance segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.402306Z

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Unavailable: canonical work link unavailable.

Observation 5cfe078c-da55-4a25-af7a-1a0fb5ddba49 · outbound

This paper cites Towards smart pruning: ViNet, a deep- learning approach for grapevine structure estimation,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Towards smart pruning: ViNet, a deep- learning approach for grapevine structure estimation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.454039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce1194b-2fb9-4bb9-9402-fe5025babdbf · outbound

This paper cites Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.530988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f925346-e008-48de-b932-bb147dce86ad · outbound

This paper cites Robotic har- vesting of the occluded fruits with a precise shape and position reconstruction approach,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Robotic har- vesting of the occluded fruits with a precise shape and position reconstruction approach,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.556898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f577d41f-edd6-4afd-8858-44c669feb6be · outbound

This paper cites Instance Segmentation for Autonomous Log Grasping in Forestry Operations,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Instance Segmentation for Autonomous Log Grasping in Forestry Operations,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.633443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b744ef1-a3c6-4b12-a9e9-e2489eb72222 · outbound

This paper cites TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.793429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3a7eca-b360-4500-b23d-f3a098c17040 · outbound

This paper cites A real time LiDAR- Visual-Inertial object level semantic SLAM for forest environments,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests A real time LiDAR- Visual-Inertial object level semantic SLAM for forest environments,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.907043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9fca85-ddc7-4f7c-93a3-37e2667628cb · outbound

This paper cites WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:24.962571Z

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Observation 62747c60-2a7d-4f78-8de2-5a626f329860 · outbound

This paper cites The GOOSE Dataset for Perception in Unstructured Environments,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests The GOOSE Dataset for Perception in Unstructured Environments,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.064822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b01f203-9845-4587-aa82-c378112b3ac1 · outbound

This paper cites Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.189160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe187acd-08ed-4df4-b8c9-67cae24c7d8e · outbound

This paper cites Tree detection and diameter estimation based on deep learning,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Tree detection and diameter estimation based on deep learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.330210Z

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Observation 8a7aa663-fb70-46bf-bfab-3e2ca10aeaa1 · outbound

This paper cites The Auto Arborist Dataset: A Large-Scale Benchmark for Mul- tiview Urban Forest Monitoring Under Domain Shift,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests The Auto Arborist Dataset: A Large-Scale Benchmark for Mul- tiview Urban Forest Monitoring Under Domain Shift,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.431969Z

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Observation 1d2fc24f-227f-40ad-9338-5108ee48cfd5 · outbound

This paper cites Tree Species Identification from Bark Images Using Convo- lutional Neural Networks,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Tree Species Identification from Bark Images Using Convo- lutional Neural Networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.530110Z

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Observation ce6f5a03-f240-4aff-858f-c8528b873c13 · outbound

This paper cites CentralBark Image Dataset and Tree Species Classification Using Deep Learning,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests CentralBark Image Dataset and Tree Species Classification Using Deep Learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.640453Z

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Observation b2576a21-9264-42df-be5f-7cbedbf6d2e0 · outbound

This paper cites Urban street tree dataset for image classification and instance segmentation,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Urban street tree dataset for image classification and instance segmentation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.768061Z

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Unavailable: canonical work link unavailable.

Observation 8b610ebf-fd82-4542-8418-fc11bc8c4119 · outbound

This paper cites The spatial and temporal dynamics of species interactions in mixed-species forests: From pattern to process,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests The spatial and temporal dynamics of species interactions in mixed-species forests: From pattern to process,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.850739Z

Source-reported events for the cited work

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Observation c993cbd9-9d93-4524-84fd-89a896ef0fd3 · outbound

This paper cites an unresolved cited work.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:25.943543Z

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Observation 69b03415-baab-427b-aac4-2ef2ce8f27c4 · outbound

This paper cites Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms,

Reference 35

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Observation 37002055-b66c-4e33-917d-a71ef63af14e · outbound

This paper cites Swin Transformer: Hier- archical Vision Transformer Using Shifted Windows,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Swin Transformer: Hier- archical Vision Transformer Using Shifted Windows,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.002908Z

Source-reported events for the cited work

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Observation ced6a84e-7da5-467c-b5ed-c449e6a75936 · outbound

This paper cites EfficientNetV2: Smaller Models and Faster Training,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests EfficientNetV2: Smaller Models and Faster Training,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.006303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b54181-8ba3-41cd-bc7d-18f3b71be872 · outbound

This paper cites an unresolved cited work.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.009961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2d6602-1e5d-4313-8afd-62628212a590 · outbound

This paper cites Tree bark re- identification using a deep-learning feature descriptor,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Tree bark re- identification using a deep-learning feature descriptor,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.013345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2b502d-02b8-49c6-9682-c3d053755700 · outbound

This paper cites an unresolved cited work.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.016940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c925ebf-3748-49f7-864f-a048925092a8 · outbound

This paper cites Enhancing Semantic Forestry Segmen- tation Through Advanced Preprocessing With ML Models,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Enhancing Semantic Forestry Segmen- tation Through Advanced Preprocessing With ML Models,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.020528Z

Source-reported events for the cited work

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Observation 108c95d9-e094-44c5-9528-d1f32c7499d3 · outbound

This paper cites Gyawali, M.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Gyawali, M

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.023764Z

Source-reported events for the cited work

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Observation 48ee236f-6dec-4c50-a845-77fe8633cddb · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.027210Z

Source-reported events for the cited work

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Observation b65fcbf2-6776-405b-91f9-7536f688c4a1 · outbound

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

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Masked-Attention Mask Transformer for Universal Image Segmentation,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.030514Z

Source-reported events for the cited work

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Observation 2a406604-fbe8-45dd-aefc-3f46b9183a08 · outbound

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

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Microsoft COCO: Common Objects in Context,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.033629Z

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Observation d0f11082-9c77-4cd0-ab6b-9f4122bc8b02 · outbound

This paper cites Focal Loss for Dense Ob- ject Detection,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Focal Loss for Dense Ob- ject Detection,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.037035Z

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Observation f471c908-7d90-48ec-932d-f8e72319d3aa · outbound

This paper cites Using Citizen Science Data as Pre-Training for Se- mantic Segmentation of High-Resolution UA V Images for Natural Forests Post-Disturbance Assessment,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Using Citizen Science Data as Pre-Training for Se- mantic Segmentation of High-Resolution UA V Images for Natural Forests Post-Disturbance Assessment,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.040467Z

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Unavailable: canonical work link unavailable.

Observation 6b2e7b3d-f63a-4dd7-a306-16b0f1719e49 · outbound

This paper cites Efficient High-Resolution Deep Learning: A Survey,.

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Efficient High-Resolution Deep Learning: A Survey,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:26.043837Z

Source-reported events for the cited work

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Pith citing papers

Observation 5b2a3aa2-bc91-4a9f-9596-c01e3dc93e87 · inbound

Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping cites this paper.

Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-07T01:15:59.084917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.