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Paper Citation Record · LEDGER

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2504.13561.

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

pith.paper-citation-record.v1
2504.13561 v1

Coverage vector

measured 54 of 54 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:24.341230Z

measured 54 of 54 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c421a4d0-b62c-4723-8970-ad1243410d2f · outbound

This paper cites See- ing through fog without seeing fog: Deep multimodal sen- sor fusion in unseen adverse weather.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion See- ing through fog without seeing fog: Deep multimodal sen- sor fusion in unseen adverse weather

Reference 1

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Observation 48136df2-3133-4c3c-85e9-46fceb4e5641 · outbound

This paper cites Deep generative modeling of lidar data.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Deep generative modeling of lidar data

Reference 2

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Observation cde03e7e-ab96-404c-a746-1ef196bd150d · outbound

This paper cites De-noising of lidar point clouds corrupted by snowfall.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion De-noising of lidar point clouds corrupted by snowfall

Reference 3

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Observation dfc7143a-d41d-442b-9139-a19e132ba0ad · outbound

This paper cites Understanding Robustness of Visual State Space Models for Image Classification.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Understanding Robustness of Visual State Space Models for Image Classification

Reference 4

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Observation 5893e72f-b83d-45fd-8f8d-307ce445dc5a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

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Observation b3561549-0c68-4a1c-b038-518d2b25d897 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

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Observation 8a014681-6f16-4377-9830-49bd062dc983 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion On the parameterization and initialization of diagonal state space models

Reference 7

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Observation 97afae3b-51e3-4436-b8eb-40afcb00a392 · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Diagonal state spaces are as effective as structured state spaces

Reference 8

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Observation 65d0087a-825f-4027-80c1-52cdb0b1b642 · outbound

This paper cites Fog simulation on real lidar point clouds for 3d object detection in adverse weather.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Fog simulation on real lidar point clouds for 3d object detection in adverse weather

Reference 9

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Observation 280af557-5a37-4f2d-8658-d9cd9f264adf · outbound

This paper cites Lidar snowfall simulation for robust 3d object detection.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Lidar snowfall simulation for robust 3d object detection

Reference 10

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Observation 036b6735-6dcb-407b-a448-59546e60e6a0 · outbound

This paper cites Denoising dif- fusion probabilistic models.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Denoising dif- fusion probabilistic models

Reference 11

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Observation 10d1278b-10e6-4db0-800a-cf0d2e436e02 · outbound

This paper cites Rangeldm: Fast realistic lidar point cloud generation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Rangeldm: Fast realistic lidar point cloud generation

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 803e51b3-1eae-403b-be2b-a47965b2410e · outbound

This paper cites A survey on information bottleneck.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion A survey on information bottleneck

Reference 13

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Observation 28e2d38c-2651-4bd9-82a9-2c9fff4051ee · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 14

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Observation e4927b54-3bd9-4c97-8b10-75a2b995cdab · outbound

This paper cites Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

Reference 15

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Observation 2ec524a0-437d-43cb-8b20-2f2ce3ba9a79 · outbound

This paper cites Robo3d: Towards robust and reliable 3d perception against corruptions.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Robo3d: Towards robust and reliable 3d perception against corruptions

Reference 16

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Observation ba0ac0b0-6d59-48de-a3d6-bd64d34310f1 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Pointpillars: Fast encoders for object detection from point clouds

Reference 17

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Observation 3fb63d79-1591-4bd8-acd5-98cd769b8aa5 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 18

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Observation c9b96203-d0f4-458a-b04e-994d4d288828 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 19

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Observation 0f293e34-d88c-4551-ae5c-5338e0eaf660 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 20

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Observation 290ee895-b4b2-450f-a8b9-81e355aac3d9 · outbound

This paper cites VMamba: Visual State Space Model.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion VMamba: Visual State Space Model

Reference 21

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Observation 68464ba9-87f2-4b41-ad6a-7c1e6d33f294 · outbound

This paper cites Lasernet: An efficient probabilistic 3d object detector for autonomous driving.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Lasernet: An efficient probabilistic 3d object detector for autonomous driving

Reference 22

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Observation 529ffea8-0076-4f9a-944c-b7c689d54d57 · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Rangenet++: Fast and accurate lidar semantic segmentation

Reference 23

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Observation 359c3ec9-ffb8-4ff1-8a28-fb1cba763689 · outbound

This paper cites Learning to drop points for lidar scan synthesis.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Learning to drop points for lidar scan synthesis

Reference 24

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Observation 62e05706-c0f1-45d4-8763-96b4a16d9d19 · outbound

This paper cites LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models

Reference 25

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Observation cb71ecaa-4172-4453-a8c6-f4498cefdd27 · outbound

This paper cites Generative range imaging for learning scene priors of 3d li- dar data.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Generative range imaging for learning scene priors of 3d li- dar data

Reference 26

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Observation 2e9b5fe1-0452-487f-9dac-5dc0c429637a · outbound

This paper cites Resurrecting recurrent neural networks for long sequences.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Resurrecting recurrent neural networks for long sequences

Reference 27

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verified fuzzy
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Source-reported events for the cited work

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Observation 8245cad9-7beb-4053-8ea2-26c8a1bea238 · outbound

This paper cites SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

Reference 28

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Observation 49aafb28-f028-4d28-a825-88c738dff0b4 · outbound

This paper cites Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

Reference 29

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Observation 505e8bb1-a8b7-4a16-84f8-3b419e6328df · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 30

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Observation 22a7062c-7248-45d5-b088-b221873fa948 · outbound

This paper cites A conditional denoising diffusion proba- bilistic model for point cloud upsampling.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion A conditional denoising diffusion proba- bilistic model for point cloud upsampling

Reference 31

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Observation 630d3dc2-1426-4bb5-a683-91883b231fcb · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Learning transferable visual models from natural language supervi- sion

Reference 32

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Observation 2abba499-64b2-4c14-abf1-e9926d18ab4c · outbound

This paper cites Towards realistic scene generation with lidar diffusion models.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Towards realistic scene generation with lidar diffusion models

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 30da488c-5369-4932-81ac-411b5da25116 · outbound

This paper cites A tutorial on bernoulli filters: theory, implementation and applications.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion A tutorial on bernoulli filters: theory, implementation and applications

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.267891Z digest=sha256:b96a71ac675480072d406c4d98d4c1c4b32a0006eb0f2031c07e7e3748be0342

Observation 5b1768ad-43f6-4cb5-b0ac-3d93a6ea996f · outbound

This paper cites labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:10:24.430966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.272256Z digest=sha256:5e9644bfd99aa634c8a80e64e58e7711c2ad8b623fe50078ada7d9a2378f5ddc

Observation 06a7075b-f2f4-4f8f-ad31-0d1cfae3d261 · outbound

This paper cites Model adaptation with synthetic and real data for semantic dense foggy scene understanding.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Model adaptation with synthetic and real data for semantic dense foggy scene understanding

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:25.016824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.276599Z digest=sha256:375c9b3a2ba1afcfd613ecb5f894e616ff191f7bdd9ed5f8aaf5b9c25799382c

Observation f8a3ba00-cf5c-4c2b-b348-134798696f4c · outbound

This paper cites Seman- tic foggy scene understanding with synthetic data.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Seman- tic foggy scene understanding with synthetic data

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:25.003479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.280919Z digest=sha256:180ea5cc8e3eb57ec133c568072e244e473e764eba53647afe1ccb3f4719dd46

Observation f0852b0b-d0cd-43d7-9151-67c46b1d49de · outbound

This paper cites Projected gans converge faster.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Projected gans converge faster

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.989323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.285397Z digest=sha256:bf2e091e0dd940c2d8c01e70ef85166b6caf34f55168b77017c9b39549d919df

Observation 97d02072-8711-4a7f-aa4f-e96262b48df8 · outbound

This paper cites 4denoisenet: Adverse weather denoising from adjacent point clouds.IEEE Robotics and Automation Letters, 8(1):456–463, 2022.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion 4denoisenet: Adverse weather denoising from adjacent point clouds.IEEE Robotics and Automation Letters, 8(1):456–463, 2022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.974510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.288796Z digest=sha256:d09286a0729466c86e8f0f3f5280641ec91143bc85525e988ab65015aec96fe8

Observation e039bb51-06aa-44a3-aed7-8165431c9fcc · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Simplified State Space Layers for Sequence Modeling

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.291872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.291872Z digest=sha256:edeef372e2c30e5182c3e0fe3f2b69b6781d7b6ecbec516dc9d15e65df1d7254

Observation 9336ef3f-5c77-468e-8ede-fbe23bf67e77 · outbound

This paper cites Consistency models.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Consistency models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.960211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.296487Z digest=sha256:1a0058ed5bffdb513debf4ce3496353ff49184616c7d27e7f1ef1c1bbb27e0d8

Observation 426daff1-884c-4bc0-8f22-d78868d4fd4e · outbound

This paper cites Rain rendering for evaluating and improving robustness to bad weather.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Rain rendering for evaluating and improving robustness to bad weather

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.944657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.299786Z digest=sha256:8bff63252cb01a936859a550d4c32f6e88b9962b6e5e5d2d955b91ac40c8d133

Observation a98d0b67-cd70-4258-8adf-e95a33ce2ef7 · outbound

This paper cites Disen- tangled representation learning.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Disen- tangled representation learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.932518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.303333Z digest=sha256:b393bf2ea03b440ec9c66816da905266ed1772ac2bd896a40c5cea4daecfe23e

Observation 13a53436-a141-4088-a4bc-d7033e53528a · outbound

This paper cites UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.306849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.306849Z digest=sha256:2eecc798a3ee5eb7e99442df5a3d1a76a5b7ee1943dc506f6869e2ff46a39570

Observation 64a53e8b-317b-4680-aadf-112de21934fc · outbound

This paper cites Co-salient object detection with uncertainty-aware group exchange-masking.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Co-salient object detection with uncertainty-aware group exchange-masking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.920998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.310356Z digest=sha256:074cdac23fd81dd51d03d9634ee786f9270174406839d9a664f8ad53f7ebeeee

Observation 7c5c7b2b-18e6-4dfd-9709-69167e33f678 · outbound

This paper cites Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.906560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.313579Z digest=sha256:9f5844070a16430d7ad384a24c950d7a04b522804ab52aa28ea039b28ad53636

Observation 4c0e83b4-1d94-416d-9a5c-e3d18b2f6e7f · outbound

This paper cites Learning compact representations for lidar comple- tion and generation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Learning compact representations for lidar comple- tion and generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.587897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.316986Z digest=sha256:77e81c44233fc343daaad7e404a38da8817b47dd569a20a76d5822706f4ac9d0

Observation 2aa2ffd6-0ce5-4bf8-8989-1bb8f1cfa005 · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Visual Mamba: A Survey and New Outlooks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.320411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.320411Z digest=sha256:4dd7b11bf05710cdc8eab22a5b3092c08d12f6ce26490c8069ee63d7330d09c0

Observation c524978d-244f-4588-9649-923fbe7c2acc · outbound

This paper cites Tri- perspective view decomposition for geometry-aware depth completion.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Tri- perspective view decomposition for geometry-aware depth completion

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.324081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.324081Z digest=sha256:dcafdf6900938c1ed5d099d899762c37da91a4ad1f9d115a9cc5778721f3ceae

Observation 8abce180-7a09-4c4a-9f80-6f0488b4d75f · outbound

This paper cites P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.327410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.327410Z digest=sha256:879ce3070b67dcfdac50d0ca64a981cf53077ebccf59c01160190db9d5ddaca6

Observation 78e7a482-7e22-49d9-a4be-715fe7a84caa · outbound

This paper cites Un- certainty inspired rgb-d saliency detection.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Un- certainty inspired rgb-d saliency detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.569619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.330722Z digest=sha256:35ad1afff64714c00b55742a8a143d7be0fd1ddc5d5f22f08512081754df4d0c

Observation d2372b09-80ff-46df-b61c-88b36a4f21fe · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:24.334004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:24.334004Z digest=sha256:8ddd5ffa98cd294b135ef4a8ea636b02e843f5e8b5254aceb1193f008d9dbb23

Observation 15c9849e-18d7-4e38-8029-f2e9111e1394 · outbound

This paper cites Spgroup3d: Su- perpoint grouping network for indoor 3d object detection.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Spgroup3d: Su- perpoint grouping network for indoor 3d object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.557149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.337613Z digest=sha256:290da416321552734585afad51cf848e8d40ce71eb7c014f7e0f4aa6ad0d67d2

Observation e3f0834e-8606-4b81-8fca-156e82ddc783 · outbound

This paper cites Learning to generate realistic lidar point clouds.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Learning to generate realistic lidar point clouds

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:10:24.544825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:10:24.341230Z digest=sha256:fbc875e265376e78e2a4b246ccf679493764c5e95ed2792ecc27a4f6c3b4e387

Pith citing papers

No inbound Pith citation observations are available.