Paper Citation Record · LEDGER

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.15385.

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

pith.paper-citation-record.v1
2501.15385 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:23:02.980031Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:48:27.064526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T06:16:20.510975Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy18
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e289b1c-2f8a-4c55-8866-d15e61a200f1 · outbound

This paper cites An extremely-low cost ground-based whole sky imager,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation An extremely-low cost ground-based whole sky imager,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.499148Z

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 78fa7503-81a1-474b-a7a4-3d955dac2770 · outbound

This paper cites Design of low-cost, compact and weather-proof whole sky imagers for high-dynamic-range captures,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Design of low-cost, compact and weather-proof whole sky imagers for high-dynamic-range captures,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.483762Z

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 42b23833-413e-431a-851e-97043fbbeb78 · outbound

This paper cites Color-based segmen- tation of sky/cloud images from ground-based cameras,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Color-based segmen- tation of sky/cloud images from ground-based cameras,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.468354Z

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 bd731e7b-252e-4b89-b91c-584c0db83fe6 · outbound

This paper cites Nighttime sky/cloud image segmentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Nighttime sky/cloud image segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.452706Z

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 a2468412-3600-4c4e-a4b7-aec82b54e4b5 · outbound

This paper cites Cloud- segnet: A deep network for nychthemeron cloud image seg- mentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Cloud- segnet: A deep network for nychthemeron cloud image seg- mentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.438763Z

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 6c782459-bafc-4a56-add4-9f91c7ad2367 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Fully Convolutional Networks for Semantic Segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.424722Z

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 ee39031a-61e1-4bf8-a967-9d6538d72efd · outbound

This paper cites Feature pyramid networks for object detec- tion,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Feature pyramid networks for object detec- tion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.410530Z

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 cfea2f8e-c4ab-4776-8a97-63d668c15305 · outbound

This paper cites Re- trieving cloud characteristics from ground-based daytime color all-sky images,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Re- trieving cloud characteristics from ground-based daytime color all-sky images,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.393519Z

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 33e35e95-8d18-4338-99e4-b98ca7073b69 · outbound

This paper cites Systematic study of color spaces and components for the segmentation of sky/cloud images,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Systematic study of color spaces and components for the segmentation of sky/cloud images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.378484Z

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 18629ac4-e381-4155-bb25-401a0901437a · outbound

This paper cites Multi- label cloud segmentation using a deep network,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Multi- label cloud segmentation using a deep network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.362840Z

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 93165085-aae3-4b92-8436-9df7b44b42a3 · outbound

This paper cites CloudU- Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation CloudU- Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.346969Z

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 14d803d3-5cd2-4e09-a55a-a1a701ab4c0b · outbound

This paper cites CloudU-Netv2: A Cloud Seg- mentation Method for Ground-Based Cloud Images Based on Deep Learning,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation CloudU-Netv2: A Cloud Seg- mentation Method for Ground-Based Cloud Images Based on Deep Learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.331597Z

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 c1af0372-e9ec-4aee-8336-527c22b00921 · outbound

This paper cites UCloudNet: A Residual U-Net with Deep Super- vision for Cloud Image Segmentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation UCloudNet: A Residual U-Net with Deep Super- vision for Cloud Image Segmentation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.869855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 133b67df-6361-4eb5-bff4-57570ce88c26 · outbound

This paper cites Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.874444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 342f5c2d-23aa-4fb4-abd0-0c5e290d8202 · outbound

This paper cites Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.878918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cf7761d-9bfb-4e9e-87fe-1e880cd831bf · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation U-net: Convo- lutional networks for biomedical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.295992Z

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 be1181de-cf8d-44dd-9f5d-f7e45afee5b8 · outbound

This paper cites AMDCNet: An attentional multi-directional convolutional network for stereo matching,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation AMDCNet: An attentional multi-directional convolutional network for stereo matching,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.887490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81a3da6-889b-4c44-9699-ac8c4eace2d2 · outbound

This paper cites Stereo Matching Based on Visual Sensitive Information,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Stereo Matching Based on Visual Sensitive Information,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.891456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1046dd7-0512-4e27-ae8c-199e99daa943 · outbound

This paper cites DMCNet: Diversified model combination network for understanding engagement from video screengrabs,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation DMCNet: Diversified model combination network for understanding engagement from video screengrabs,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.895575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813fda50-f50d-4eee-8e2a-913f3916e506 · outbound

This paper cites SYGNet: A SVD-YOLO based GhostNet for Real- time Driving Scene Parsing,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation SYGNet: A SVD-YOLO based GhostNet for Real- time Driving Scene Parsing,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.899768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d844249d-1e0b-4dc3-a7bc-190ed3395678 · outbound

This paper cites Optimized Hard Exudate Detection with Supervised Contrastive Learning,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Optimized Hard Exudate Detection with Supervised Contrastive Learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.904063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc80257a-bdf9-4521-a3f5-6a8f39a6410d · outbound

This paper cites Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.908345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3ff00c-b00c-49b9-a844-3b97dbd0b423 · outbound

This paper cites DAANet: Dual Attention Aggregating Network for Salient Object Detection,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation DAANet: Dual Attention Aggregating Network for Salient Object Detection,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.912325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97283839-7f00-4ccd-b94f-cdbb6e02eed1 · outbound

This paper cites CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post- decoder Refinement,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post- decoder Refinement,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.916669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8fc73a2-7f5c-44b4-83d3-1346931c840e · outbound

This paper cites AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.921180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fdff9e-edbe-4384-9a06-8ef30992da5c · outbound

This paper cites MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.925503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9aacfec-a091-479a-85c4-0144e9fddf6e · outbound

This paper cites VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration*,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration*,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.930061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b924224d-96c4-4247-b6ed-3856ef593ef0 · outbound

This paper cites AbHE: All Attention-Based Homography Estimation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation AbHE: All Attention-Based Homography Estimation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.934466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01478d0-9a01-4130-8174-be25c9eef96b · outbound

This paper cites Fanuc manipulation: A dataset for learning- based manipulation with fanuc mate 200id robot,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Fanuc manipulation: A dataset for learning- based manipulation with fanuc mate 200id robot,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.939281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f33b75d-2845-42eb-a23b-273efc120001 · outbound

This paper cites AirShot: Efficient Few-Shot Detection for Autonomous Exploration.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation AirShot: Efficient Few-Shot Detection for Autonomous Exploration

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.943668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e44e7a5-52ef-4ec0-a63c-9ce20f05911a · outbound

This paper cites ONLS: OPTIMAL NOISE LEVEL SEARCH IN DIFFUSION AUTOENCODERS WITHOUT FINE- TUNING,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation ONLS: OPTIMAL NOISE LEVEL SEARCH IN DIFFUSION AUTOENCODERS WITHOUT FINE- TUNING,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.948366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc4cd4c-1c73-49da-8601-606bd30d9b98 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.952850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b80b73b8-53e4-4862-ad0c-4d4ae7283234 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully con- nected crfs,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully con- nected crfs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.144099Z

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 0a37a11f-6482-41b0-8e16-1990ff791040 · outbound

This paper cites Pyramid scene parsing network,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Pyramid scene parsing network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.128572Z

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 8abcbe35-7ce8-498c-9db8-78dbe5a696d5 · outbound

This paper cites Pyramid Scene Parsing Network,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Pyramid Scene Parsing Network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.112694Z

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 4845fc7d-143d-4419-bd0a-b47b5276ec98 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T14:23:02.970436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6efdd8c-3f81-4f6b-887a-14536b91ecc9 · outbound

This paper cites SegCloud: A novel cloud image segmentation model using a deep convo- lutional neural network for ground-based all-sky-view cam- era observation,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation SegCloud: A novel cloud image segmentation model using a deep convo- lutional neural network for ground-based all-sky-view cam- era observation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.097408Z

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 d3b0868a-6900-4a98-bad7-a9d141b1a500 · outbound

This paper cites A Novel Ground-Based Cloud Image Segmentation Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism,.

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation A Novel Ground-Based Cloud Image Segmentation Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:23:03.081599Z

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

Observation 4c32aaa0-6204-4cf1-823a-74b94bf85625 · inbound

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction cites this paper.

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T05:48:28.840603Z

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.