Paper Citation Record · LEDGER

A framework for river connectivity classification using temporal image processing and attention based neural networks

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2502.00474.

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

pith.paper-citation-record.v1
2502.00474 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:55:11.531116Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact14
verified fuzzy7
unresolved18
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External citation measurements

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Outbound references

Observation 23d4b3a1-99cd-4f6b-851c-b2425c90cb40 · outbound

This paper cites Increased extreme weather events associated with climate change can result in alterations to river and stream connectivity.

A framework for river connectivity classification using temporal image processing and attention based neural networks Increased extreme weather events associated with climate change can result in alterations to river and stream connectivity

Reference 1

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This paper cites We looked to recent literature in real-time object tracking that used interframe images to remove shadows from the target object (people) [Wu et al.

A framework for river connectivity classification using temporal image processing and attention based neural networks We looked to recent literature in real-time object tracking that used interframe images to remove shadows from the target object (people) [Wu et al

Reference 2

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Observation c262d114-295c-4ed6-874a-03b0562c4fe5 · outbound

This paper cites &',…,𝑋%"(.

A framework for river connectivity classification using temporal image processing and attention based neural networks &',…,𝑋%"(

Reference 3

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Observation 317d278b-f6b4-43b7-bc06-84a10ec91aed · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks.

A framework for river connectivity classification using temporal image processing and attention based neural networks ImageNet Classification with Deep Convolutional Neural Networks

Reference 5

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Observation e7a73d0b-0d75-4866-bd28-b2ea217e51aa · outbound

This paper cites (D) The same preprocessing is used as in (A) but now the framework will not have labels.

A framework for river connectivity classification using temporal image processing and attention based neural networks (D) The same preprocessing is used as in (A) but now the framework will not have labels

Reference 6

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Observation e02287bc-3ebd-4758-a895-cb685cae961d · outbound

This paper cites It is possible that better model training parameters would score higher but we did not have time to fully explore this area.

A framework for river connectivity classification using temporal image processing and attention based neural networks It is possible that better model training parameters would score higher but we did not have time to fully explore this area

Reference 7

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Observation 8b41b2f5-d8e7-494c-a6f6-53f3c5d7a3a1 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

A framework for river connectivity classification using temporal image processing and attention based neural networks Diffusion Models Beat GANs on Image Synthesis

Reference 14

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Observation df628fed-011a-4318-bc09-9e75dec3dba2 · outbound

This paper cites A Data Scientist's Guide to Streamflow Prediction.

A framework for river connectivity classification using temporal image processing and attention based neural networks A Data Scientist's Guide to Streamflow Prediction

Reference 15

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Observation 3fa0e6b9-3690-416a-98c8-11402d6ad09a · outbound

This paper cites Denoising Diffusion Probabilistic Models.

A framework for river connectivity classification using temporal image processing and attention based neural networks Denoising Diffusion Probabilistic Models

Reference 20

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Observation 40b6e046-4bc3-47aa-b18f-104563776937 · outbound

This paper cites A Survey on Generative Adversarial Networks: Variants, Applications, and Training.

A framework for river connectivity classification using temporal image processing and attention based neural networks A Survey on Generative Adversarial Networks: Variants, Applications, and Training

Reference 22

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Observation 3701a948-e255-4069-adc9-21db357f7973 · outbound

This paper cites ACM Computing Surveys.

A framework for river connectivity classification using temporal image processing and attention based neural networks ACM Computing Surveys

Reference 23

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Observation 33c4796a-77a2-459c-b338-cb74a5a6295f · outbound

This paper cites Journal of Big Data 5, 1 (November 2018), 5-42.

A framework for river connectivity classification using temporal image processing and attention based neural networks Journal of Big Data 5, 1 (November 2018), 5-42

Reference 25

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Observation 2f2ed0b2-a4b2-4431-9abf-1b367ffab579 · outbound

This paper cites RePaint: Inpainting using Denoising Diffusion Probabilistic Models.

A framework for river connectivity classification using temporal image processing and attention based neural networks RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Reference 27

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Observation 5305c789-2050-4e2d-88e7-019b656be274 · outbound

This paper cites JAWRA Journal of the American Water Resources Association 43, 1 (February 2007), 86-103.

A framework for river connectivity classification using temporal image processing and attention based neural networks JAWRA Journal of the American Water Resources Association 43, 1 (February 2007), 86-103

Reference 29

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Observation 82961b87-eefa-4e99-8a3d-ba41d25ff7a8 · outbound

This paper cites Denoising Diffusion Implicit Models.

A framework for river connectivity classification using temporal image processing and attention based neural networks Denoising Diffusion Implicit Models

Reference 32

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Observation a9a130e3-4d54-4e30-9259-3f87f8d75347 · outbound

This paper cites Effective Data Augmentation With Diffusion Models.

A framework for river connectivity classification using temporal image processing and attention based neural networks Effective Data Augmentation With Diffusion Models

Reference 33

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Observation 2559b3e1-2ad9-4239-ae04-c2ab3942b1e5 · outbound

This paper cites (March 2023).

A framework for river connectivity classification using temporal image processing and attention based neural networks (March 2023)

Reference 34

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Observation 7fd5fa66-0aab-445c-b4db-fac8ac044c8b · outbound

This paper cites Geological Survey National Water Information System database (January 2025).

A framework for river connectivity classification using temporal image processing and attention based neural networks Geological Survey National Water Information System database (January 2025)

Reference 35

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Observation 125c0a3f-818a-4057-a77e-b6dd02829307 · outbound

This paper cites In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17).

A framework for river connectivity classification using temporal image processing and attention based neural networks In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17)

Reference 37

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Observation a5a5b859-8284-440a-840f-a5b277fd14bc · outbound

This paper cites Progress in Physical Geography: Earth and Environment 41, 3 (June 2017), 345–362.

A framework for river connectivity classification using temporal image processing and attention based neural networks Progress in Physical Geography: Earth and Environment 41, 3 (June 2017), 345–362

Reference 38

Resolution: verified exact; doi, observed 2026-08-09T18:55:11.586675Z

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Observation 769b0ea6-9b6f-4678-bdc3-4c99c7c25aa1 · outbound

This paper cites GAN Inversion: A Survey.

A framework for river connectivity classification using temporal image processing and attention based neural networks GAN Inversion: A Survey

Reference 39

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Observation 5741180d-ab5a-43f3-a123-24035afe1a27 · outbound

This paper cites WIREs Water 7, 3 (May/June 2020), 25 pages.

A framework for river connectivity classification using temporal image processing and attention based neural networks WIREs Water 7, 3 (May/June 2020), 25 pages

Reference 40

Resolution: verified exact; doi, observed 2026-08-09T18:55:11.575036Z

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Observation 91e33dba-b9a4-4065-9086-aeb5eb8b01cb · outbound

This paper cites Environmental Research Letters 16, 8 (July 2021), 16 pages.

A framework for river connectivity classification using temporal image processing and attention based neural networks Environmental Research Letters 16, 8 (July 2021), 16 pages

Reference 41

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Observation 7a4ca217-846e-4b69-9f0d-4326b7d7fdca · outbound

This paper cites International Conference on Learning Representations, Vienna Austria,.

A framework for river connectivity classification using temporal image processing and attention based neural networks International Conference on Learning Representations, Vienna Austria,

Reference 270

Resolution: verified exact; doi, observed 2026-08-09T18:55:11.668364Z

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Observation cb9998ec-8782-4d2e-ae09-de7db49b735b · outbound

This paper cites Deep Residual Learning for Image Recognition.

A framework for river connectivity classification using temporal image processing and attention based neural networks Deep Residual Learning for Image Recognition

Reference 363

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Observation d5b0edbc-01c2-4011-8911-c2b55a391394 · outbound

This paper cites SIL Proceedings 1922-2010 19, 1 (October 1975), 1–15.

A framework for river connectivity classification using temporal image processing and attention based neural networks SIL Proceedings 1922-2010 19, 1 (October 1975), 1–15

Reference 1975

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This paper cites Canadian Journal of Fisheries and Aquatic Sciences 37, 1 (January 1980), 130–137.

A framework for river connectivity classification using temporal image processing and attention based neural networks Canadian Journal of Fisheries and Aquatic Sciences 37, 1 (January 1980), 130–137

Reference 1980

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Observation b04fc358-39a8-45df-826e-54368ecf8c67 · outbound

This paper cites Environmental Management 30, 4 (October 2002), 492–507.

A framework for river connectivity classification using temporal image processing and attention based neural networks Environmental Management 30, 4 (October 2002), 492–507

Reference 2002

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Observation 48e19275-45ce-420b-95c4-7a97f11d863f · outbound

This paper cites Generative Adversarial Networks.

A framework for river connectivity classification using temporal image processing and attention based neural networks Generative Adversarial Networks

Reference 2014

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

A framework for river connectivity classification using temporal image processing and attention based neural networks U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

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A framework for river connectivity classification using temporal image processing and attention based neural networks Unresolved cited work

Reference 2016

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A framework for river connectivity classification using temporal image processing and attention based neural networks Unresolved cited work

Reference 2017

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This paper cites Data Augmentation Generative Adversarial Networks.

A framework for river connectivity classification using temporal image processing and attention based neural networks Data Augmentation Generative Adversarial Networks

Reference 2018

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Observation 3eb15f73-1bdc-4e4b-aff6-e2f78bd5d3e1 · outbound

This paper cites Journal of Big Data 6, 1 (July 2019), 6-60.

A framework for river connectivity classification using temporal image processing and attention based neural networks Journal of Big Data 6, 1 (July 2019), 6-60

Reference 2019

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This paper cites River Research and Applications 36, 8 (October 2020), 1504-1514.

A framework for river connectivity classification using temporal image processing and attention based neural networks River Research and Applications 36, 8 (October 2020), 1504-1514

Reference 2020

Resolution: verified exact; doi, observed 2026-08-09T18:55:11.690534Z

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

A framework for river connectivity classification using temporal image processing and attention based neural networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2021

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A framework for river connectivity classification using temporal image processing and attention based neural networks Unresolved cited work

Reference 2022

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This paper cites Ecosphere 14, 3 (March 2023), 16 pages.

A framework for river connectivity classification using temporal image processing and attention based neural networks Ecosphere 14, 3 (March 2023), 16 pages

Reference 2023

Resolution: verified exact; doi, observed 2026-08-09T18:55:11.622507Z

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Observation c1912267-c52d-41fa-89c3-8ad0fe0103bc · outbound

This paper cites Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification.

A framework for river connectivity classification using temporal image processing and attention based neural networks Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:55:11.905344Z

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Observation 68b1e04f-dce7-4b2a-829f-10222baf50ce · outbound

This paper cites Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions.

A framework for river connectivity classification using temporal image processing and attention based neural networks Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 2025

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Pith citing papers

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