Paper Citation Record · LEDGER

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.24375.

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

pith.paper-citation-record.v1
2505.24375 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:59.336480Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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

17 of 17 outbound references displayed

verified exact3
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1d73472-4da9-46c8-84eb-da370d59fe4c · outbound

This paper cites Computer vision as a tool for forestry.https://www.diva-portal.org/smash/ get/diva2:1323733/FULLTEXT01.pdf, 2019.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Computer vision as a tool for forestry.https://www.diva-portal.org/smash/ get/diva2:1323733/FULLTEXT01.pdf, 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:02.779738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0aaf9b82-2b34-4ff0-88b0-c180201da296 · outbound

This paper cites Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:30:00.161242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa123b0e-c02c-4e24-943e-ab8c259018fa · outbound

This paper cites Pytorch lightning.https://www.pytorchlightning.ai/, 2019.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Pytorch lightning.https://www.pytorchlightning.ai/, 2019

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:02.511835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a43e5d73-5200-4d7b-8786-be034ebb9a0b · outbound

This paper cites PyTorchVideo: A Deep Learning Library for Video Understanding.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification PyTorchVideo: A Deep Learning Library for Video Understanding

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:29:59.947700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 333c1e47-ded0-45d0-b855-b654ddb5005b · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages 6546–6555, 2018.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages 6546–6555, 2018

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:02.289656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f41afd08-f4c8-4830-8075-6c8352528b12 · outbound

This paper cites Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:29:59.739296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f86c434a-75e1-4e46-9efe-690bcf8eef0d · outbound

This paper cites McDonald and Bob Rummer.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification McDonald and Bob Rummer

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:02.079731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53404822-a257-474f-bc58-7d8fa7a4ea47 · outbound

This paper cites 3d-cnn-based fused feature maps with lstm applied to action recognition.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification 3d-cnn-based fused feature maps with lstm applied to action recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:01.820844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40b14793-ad1c-45f7-8c95-dfe8aa5829a2 · outbound

This paper cites A deep sequence learning framework for action recognition in depth videos.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification A deep sequence learning framework for action recognition in depth videos

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:01.603188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9626169-43f3-43b2-8570-6958e9c37c35 · outbound

This paper cites Automatic classification of trees using a UAV onboard camera and deep learning.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Automatic classification of trees using a UAV onboard camera and deep learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:29:59.568390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a000908-5140-4475-b76d-24aee2ebf7a6 · outbound

This paper cites Pytorchvideo: A deep learning library for video understanding.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Pytorchvideo: A deep learning library for video understanding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:01.435649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 752a8352-267a-48da-9b2f-171a534f710b · outbound

This paper cites Two-stream convolutional networks for action recognition in videos.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Two-stream convolutional networks for action recognition in videos

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:01.228464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03b9bb32-076c-469b-a739-cd90b4260729 · outbound

This paper cites Torchmetrics.https://torchmetrics.readthedocs.io/, 2021.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Torchmetrics.https://torchmetrics.readthedocs.io/, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:01.013840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c2733ab-e386-42e2-8389-6b4b01154fcb · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Learning spatiotemporal features with 3d convolutional networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:00.840663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ab134b9-2b31-47c8-a196-bd9eec2acb40 · outbound

This paper cites A Closer Look at Spatiotemporal Convolutions for Action Recognition.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification A Closer Look at Spatiotemporal Convolutions for Action Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:59.155689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e335ad98-84fe-4d67-b61c-349a3610fcad · outbound

This paper cites A 3d-cnn and lstm based multi-task learning architecture for action recognition.IEEE Access, 7:3001–3010, 2019.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification A 3d-cnn and lstm based multi-task learning architecture for action recognition.IEEE Access, 7:3001–3010, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:00.625348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b661600-6a41-47dc-ab6c-86a6ce252d0e · outbound

This paper cites Video-based forest fire detection using support vector machines.

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification Video-based forest fire detection using support vector machines

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:00.406793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.