Paper Citation Record · LEDGER

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2602.19349.

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

pith.paper-citation-record.v1
2602.19349 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:44:13.037519Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:28:47.232989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:39.859223Z

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation c4dab58b-9b3d-4f06-b2be-7195197150b7 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 1

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Observation 9b27425d-720b-419e-b4b3-bfb6c89e814d · outbound

This paper cites Weight uncertainty in neural network.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Weight uncertainty in neural network

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.388441Z

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Observation a8f51f59-9c79-4e50-8d46-e13f346b735e · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Masked-attention mask transformer for universal image segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.456410Z

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Observation 8682c0fd-e0c9-4ec0-9f6c-d346cdf4bb5b · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.517481Z

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Observation 0f2cece8-2461-468e-b884-deb51bc18408 · outbound

This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking.IEEE Robotics and Automation Letters, 7(2):3795–3802, 2022.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking.IEEE Robotics and Automation Letters, 7(2):3795–3802, 2022

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.580685Z

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Observation 0b7d866e-270e-474e-9bd8-7c212779bbeb · outbound

This paper cites MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.670502Z

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Observation d72661de-e8cd-489c-88e1-832164e4bf1d · outbound

This paper cites Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.757073Z

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Observation 69832d7e-9f7e-48c0-b8de-89686e34f80e · outbound

This paper cites Lidar-based panoptic segmentation via dynamic shifting network.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Lidar-based panoptic segmentation via dynamic shifting network

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.843142Z

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Observation e3ed5fd5-6066-4d4c-9802-3303c8dd5d2b · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.906138Z

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Observation 4184bec3-69cd-4136-a247-51ba2e454251 · outbound

This paper cites Panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:07.979054Z

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Observation 5d374484-45ea-4aba-adcd-3860785c3713 · outbound

This paper cites Challenges in autonomous vehicle testing and validation.SAE Inter- national Journal of Transportation Safety, 4(1):15–24, 2016.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Challenges in autonomous vehicle testing and validation.SAE Inter- national Journal of Transportation Safety, 4(1):15–24, 2016

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.084540Z

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Observation 6414e6b3-7100-43e7-b30a-b241a34986a8 · outbound

This paper cites In defense of classical image processing: Fast depth com- pletion on the cpu.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation In defense of classical image processing: Fast depth com- pletion on the cpu

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.307744Z

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Observation f3cedcd1-a533-441f-b688-8b94f25ec94e · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.431277Z

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Observation c5b08a95-219b-4b33-b078-979db84a7148 · outbound

This paper cites CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.576792Z

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Observation f11be0f5-acde-41e3-bb1d-b208608934ac · outbound

This paper cites Panoptic-phnet: Towards real- time and high-precision lidar panoptic segmentation via clustering pseudo heatmap.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic-phnet: Towards real- time and high-precision lidar panoptic segmentation via clustering pseudo heatmap

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.697454Z

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Observation 76b55efc-cdfe-476c-95c8-d176bbc08d1b · outbound

This paper cites Center focusing network for real-time lidar panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Center focusing network for real-time lidar panoptic segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.788857Z

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Observation 9381312c-bf0d-401c-914a-f4d1ddf090e9 · outbound

This paper cites Microsoft coco: Common objects in context.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Microsoft coco: Common objects in context

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:08.881189Z

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Observation c5a6daee-79ef-4d54-a7ef-6afc60eac36f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.038773Z

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Observation d9f0db77-3415-4f46-b4ed-d3930e78a93a · outbound

This paper cites Decoupled Weight Decay Regularization.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Decoupled Weight Decay Regularization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.100341Z

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Observation c708262d-2847-4a08-8ea7-8d4461b02d01 · outbound

This paper cites Amodal optical flow.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Amodal optical flow

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.211979Z

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Observation e9fb8ab2-28ee-4b62-a822-0e7e2df0bfbe · outbound

This paper cites Mask-based panoptic lidar segmentation for autonomous driving.IEEE Robotics and Automation Letters, 8(2):1141–1148, 2023.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Mask-based panoptic lidar segmentation for autonomous driving.IEEE Robotics and Automation Letters, 8(2):1141–1148, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.362828Z

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Observation 5272e75d-c6da-4a02-a836-3f104600349b · outbound

This paper cites Centerlps: Segment instances by centers for lidar panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Centerlps: Segment instances by centers for lidar panoptic segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.526181Z

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Observation 78ed88b7-09f4-4a3e-b5e1-f832d7c67719 · outbound

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

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Rangenet++: Fast and accurate lidar semantic segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.620558Z

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Observation 3ae46d98-2c1c-4b51-98c7-bde0b622754b · outbound

This paper cites Lidar panoptic segmentation for autonomous driving.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Lidar panoptic segmentation for autonomous driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.737881Z

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Observation 1163283f-0627-4941-b878-924ef2f488e9 · outbound

This paper cites Forecastocc: Vision-based semantic occupancy forecasting.arXiv preprint arXiv:2602.08006, 2026.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Forecastocc: Vision-based semantic occupancy forecasting.arXiv preprint arXiv:2602.08006, 2026

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.895662Z

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Observation c0b773b1-1720-4527-9fd9-ffb912890947 · outbound

This paper cites Perceiving the invisible: Proposal-free amodal panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Perceiving the invisible: Proposal-free amodal panoptic segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:09.948730Z

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Observation c63b2704-3385-4a9b-bb18-dd983fe84daa · outbound

This paper cites Syn-mediverse: A multimodal synthetic dataset for intelligent scene understanding of healthcare facilities.IEEE Robotics and Automation Letters, 9(8):7094–7101, 2024.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Syn-mediverse: A multimodal synthetic dataset for intelligent scene understanding of healthcare facilities.IEEE Robotics and Automation Letters, 9(8):7094–7101, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.104241Z

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Observation f2e76c87-7de9-495d-b367-20ee55e7978b · outbound

This paper cites Progressive multi-modal fusion for robust 3d object detection.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Progressive multi-modal fusion for robust 3d object detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.228983Z

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Observation 9d601fc3-9fda-4ce3-a94a-b808560a20a5 · outbound

This paper cites Panoptic out-of- distribution segmentation.IEEE Robotics and Automation Letters, 9(5):4075–4082, 2024.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic out-of- distribution segmentation.IEEE Robotics and Automation Letters, 9(5):4075–4082, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.309849Z

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Observation 3d18525e-0ef9-463f-9727-9382c60db9f3 · outbound

This paper cites Open- set lidar panoptic segmentation guided by uncertainty- aware learning.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Open- set lidar panoptic segmentation guided by uncertainty- aware learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.384331Z

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Observation cbaf43df-02e4-48d2-9335-25f25ac60229 · outbound

This paper cites 3d scene segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation 3d scene segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.426834Z

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Observation 68b7c52c-3ce4-4198-948d-ae768b7130be · outbound

This paper cites How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.494363Z

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Observation 2e75fcb5-0543-4645-be6f-5dce3df5b37c · outbound

This paper cites Gp-s3net: Graph-based panoptic sparse semantic segmentation network.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Gp-s3net: Graph-based panoptic sparse semantic segmentation network

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.629000Z

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Observation f61bb6c9-bae1-480b-95ed-12bf9928c971 · outbound

This paper cites Guided curriculum model adaptation and uncertainty- aware evaluation for semantic nighttime image segmen- tation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Guided curriculum model adaptation and uncertainty- aware evaluation for semantic nighttime image segmen- tation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.732937Z

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Observation a4a54f3c-2bfe-42ae-afac-f6755222c048 · outbound

This paper cites Bevcar: Camera-radar fusion for bev map and object segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Bevcar: Camera-radar fusion for bev map and object segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.818219Z

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Observation e398c45b-77a5-4a20-be84-a35de5512131 · outbound

This paper cites Efficientlps: Efficient lidar panoptic segmentation.IEEE Transactions on Robotics, 38(3):1894–1914, 2021.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Efficientlps: Efficient lidar panoptic segmentation.IEEE Transactions on Robotics, 38(3):1894–1914, 2021

Reference 36

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Observation 6a59970a-9e87-47b2-8b19-d51dd101e290 · outbound

This paper cites Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.123571Z

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Observation 9533ecf0-1bb5-4490-9a33-4048f6236779 · outbound

This paper cites Pups: Point cloud unified panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Pups: Point cloud unified panoptic segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.308108Z

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Observation 2a3f4499-eee0-46d0-babd-0cf498acbc82 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Scalability in perception for autonomous driving: Waymo open dataset

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.424670Z

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Observation b9b8b684-ec66-44fa-8696-c7bebe366d10 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Kpconv: Flexible and deformable convolution for point clouds

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.622943Z

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Observation 0196073f-7399-400b-a7be-4a5f6dfaa4d0 · outbound

This paper cites Convoluted mixture of deep experts for robust semantic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Convoluted mixture of deep experts for robust semantic segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.760905Z

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Observation c9431954-ba12-46a8-a7b3-c078bd17f87d · outbound

This paper cites Towards robust semantic segmentation using deep fusion.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Towards robust semantic segmentation using deep fusion

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:11.899525Z

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Observation 96c93b1a-0dd4-4207-bd70-84fac799b01f · outbound

This paper cites Position-guided point cloud panoptic segmentation transformer.International Journal of Computer Vision, 133(1):275–290, 2025.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Position-guided point cloud panoptic segmentation transformer.International Journal of Computer Vision, 133(1):275–290, 2025

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.042656Z

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Observation 5247bcc1-e12e-47d6-879d-cdec4ca98de8 · outbound

This paper cites Sparse cross-scale attention network for efficient lidar panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Sparse cross-scale attention network for efficient lidar panoptic segmentation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.216620Z

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Observation c59a5910-c696-47fe-9b5e-a7c819001d31 · outbound

This paper cites Aop-net: All-in-one perception network for lidar- based joint 3d object detection and panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Aop-net: All-in-one perception network for lidar- based joint 3d object detection and panoptic segmentation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.359621Z

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Observation af7a389c-7ed4-4d5f-bbd3-cf677b2d503e · outbound

This paper cites Cross modal transformer: Towards fast and robust 3d object detection.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Cross modal transformer: Towards fast and robust 3d object detection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.597011Z

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Observation 81d65a01-bfc9-498f-b895-a1a229a93178 · outbound

This paper cites Lidar- multinet: Towards a unified multi-task network for lidar perception.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Lidar- multinet: Towards a unified multi-task network for lidar perception

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.744098Z

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Observation d13cd6e3-37cb-4af7-b9ff-2e3d79d66d76 · outbound

This paper cites Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.832515Z

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Observation 5efee8e0-c027-4e09-8157-bdd121029983 · outbound

This paper cites Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:12.924007Z

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Observation ab2f9041-053a-4b34-ac92-1a89dfb089ab · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 50

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Pith citing papers

Observation 3a0b1bad-f568-4fd3-98e9-18b5724dcd98 · inbound

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation cites this paper.

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-28T02:22:27.967281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4fa25df6-69da-44d3-bc46-6b1220cd7685 · inbound

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking cites this paper.

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-28T02:22:27.967281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.