Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations | Paper Citation Record

Observation 5269c87e-b730-43a2-8681-245445bbbf12 · outbound

This paper cites Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving

Reference 1

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Observation dbefbb12-0e42-4cff-94b1-2c67a5a41871 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 2

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Observation 5f07692c-b4a1-40b8-beb2-4c157fef2016 · outbound

This paper cites Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes

Reference 3

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Observation 46ab7c68-1a0b-4833-9411-b7c2cafeada8 · outbound

This paper cites Also: Automotive lidar self- supervision by occupancy estimation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Also: Automotive lidar self- supervision by occupancy estimation

Reference 4

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Observation b5f42c68-f616-4cb8-ad9d-ce10ad2f3faf · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations nuscenes: A multi- modal dataset for autonomous driving

Reference 5

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Observation e493e95d-1355-4616-8703-65e4fd7e3682 · outbound

This paper cites Building a strong pre- training baseline for universal 3d large-scale perception.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Building a strong pre- training baseline for universal 3d large-scale perception

Reference 6

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Observation 5703684a-20c9-4f04-95ab-e235d5b26cf5 · outbound

This paper cites Polarstream: Streaming object detection and segmentation with polar pil- lars.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Polarstream: Streaming object detection and segmentation with polar pil- lars

Reference 7

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Observation f620545c-053d-4af4-a4a9-69fac3832a2e · outbound

This paper cites Towards label-free scene understanding by vi- sion foundation models.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Towards label-free scene understanding by vi- sion foundation models

Reference 8

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Observation fee826e8-43c8-4590-988e-e735072d66ce · outbound

This paper cites Clip2scene: Towards label-efficient 3d scene under- standing by clip.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Clip2scene: Towards label-efficient 3d scene under- standing by clip

Reference 9

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Observation d2601c0f-01a4-494d-aad3-ed1862e18a5f · outbound

This paper cites 4dcontrast: Contrastive learning with dynamic correspondences for 3d scene understanding.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations 4dcontrast: Contrastive learning with dynamic correspondences for 3d scene understanding

Reference 10

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Observation 4a694a6e-ff6d-481e-97e2-6768c7702d9f · outbound

This paper cites Af2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Af2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network

Reference 11

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Observation a82b5a8a-4a13-4337-94eb-769d04d8e297 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 12

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Observation 295049b4-6fc0-4916-9e8a-251b0291dee5 · outbound

This paper cites MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations MMDetection3D: Open- MMLab next-generation platform for general 3D object detection

Reference 13

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Observation d1c8b761-e507-47e5-b251-78b49762e0d6 · outbound

This paper cites An im- age is worth 16x16 words: Transformers for image recog- nition at scale.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations An im- age is worth 16x16 words: Transformers for image recog- nition at scale

Reference 14

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Observation 1df6bd2d-f8d4-4bfd-9620-3d819e7ded50 · outbound

This paper cites Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey

Reference 15

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Observation dc296925-3b45-4df4-92dc-81c64d1d304c · outbound

This paper cites A Survey of World Models for Autonomous Driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations A Survey of World Models for Autonomous Driving

Reference 16

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Observation 9a7ca566-19ee-4f9f-87b4-4ee6ed966c9e · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Reference 17

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Observation cf276bcd-8aab-4dd4-b364-0552c0189ac3 · outbound

This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking

Reference 18

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Observation c12b7a7d-4065-43aa-b8e5-0b361d870a60 · outbound

This paper cites Are we hungry for 3d lidar data for semantic segmentation? a survey of datasets and methods.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Are we hungry for 3d lidar data for semantic segmentation? a survey of datasets and methods

Reference 19

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Observation f1dd8e57-83d4-4819-940a-a026270fcfb6 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 20

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Observation c591c850-c6bb-4cb0-a596-3a64c8c30365 · outbound

This paper cites Deep learning for 3d point clouds: A survey.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Deep learning for 3d point clouds: A survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:30.483419Z

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Observation 246e582b-fa39-4462-88a0-b2ec3bb8bac7 · outbound

This paper cites Is your hd map construc- tor reliable under sensor corruptions? In Advances in Neu- ral Information Processing Systems , pages 22441–22482,.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Is your hd map construc- tor reliable under sensor corruptions? In Advances in Neu- ral Information Processing Systems , pages 22441–22482,

Reference 22

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Observation a1416675-e586-41f1-ae2a-b677346b8a1e · outbound

This paper cites Deep residual learning for image recognition.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Deep residual learning for image recognition

Reference 23

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Observation 61ef62a1-e5ad-4b9c-a8d8-2cd2ab892ec5 · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Lidar-based panoptic segmentation via dynamic shifting network

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:30.950458Z

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Observation 90ffe03e-2913-4c91-bdb8-5659fce13d19 · outbound

This paper cites Unified 3d and 4d panoptic segmentation via dynamic shifting networks.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Unified 3d and 4d panoptic segmentation via dynamic shifting networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:31.055028Z

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Observation 43b26a9d-2c24-430c-aa86-9e95f730aa51 · outbound

This paper cites Randla-net: Efficient semantic segmentation of large-scale point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Randla-net: Efficient semantic segmentation of large-scale point clouds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:31.139281Z

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Observation 3a3d3056-22f0-42bf-bff1-7948d44e2dfc · outbound

This paper cites St-p3: End-to-end vision- based autonomous driving via spatial-temporal feature learning.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations St-p3: End-to-end vision- based autonomous driving via spatial-temporal feature learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:31.264562Z

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Observation f1e97332-ea90-47a9-9731-c2c5a2a8085b · outbound

This paper cites Ponder: Point cloud pre-training via neural rendering.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Ponder: Point cloud pre-training via neural rendering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:31.428721Z

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Observation e4a50370-2d5e-422d-a221-a845011ec982 · outbound

This paper cites Spatio-temporal self-supervised representation learn- ing for 3d point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Spatio-temporal self-supervised representation learn- ing for 3d point clouds

Reference 29

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Observation 03262860-5e7e-4c23-99ab-528fa026f69d · outbound

This paper cites Rellis-3d dataset: Data, benchmarks and anal- ysis.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Rellis-3d dataset: Data, benchmarks and anal- ysis

Reference 30

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Observation 042d88f7-32a0-4a7c-a402-6fff20e2545a · outbound

This paper cites Daps3d: Domain adaptive projective segmen- tation of 3d lidar point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Daps3d: Domain adaptive projective segmen- tation of 3d lidar point clouds

Reference 31

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Observation 2520694d-528d-4b7e-98a9-995da5a159e3 · outbound

This paper cites Rethinking range view representation for lidar segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Rethinking range view representation for lidar segmentation

Reference 32

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Observation 56d8e7ab-dabe-4539-a7f2-99b2d0cd13b6 · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Robo3d: Towards robust and reliable 3d perception against corruptions

Reference 33

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Observation b88fb7eb-e0a7-4402-a1be-62ed08707d8e · outbound

This paper cites Lasermix for semi-supervised lidar semantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Lasermix for semi-supervised lidar semantic segmentation

Reference 34

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Observation c660cdd4-dd51-4d5c-b087-4fa96981400d · outbound

This paper cites Robodepth: Robust out-of-distribution depth estimation under corruptions.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Robodepth: Robust out-of-distribution depth estimation under corruptions

Reference 35

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Observation 04513ff4-600c-4611-a23d-bdc2c77f179c · outbound

This paper cites Calib3d: Calibrating model preferences for reliable 3d scene understanding.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Calib3d: Calibrating model preferences for reliable 3d scene understanding

Reference 36

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Observation b2e8866f-6a8f-4601-a79f-0945fd36891c · outbound

This paper cites Largead: Large-scale cross-sensor data pretraining for au- tonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Largead: Large-scale cross-sensor data pretraining for au- tonomous driving

Reference 37

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Observation aaa743ae-aa9a-4feb-8bc9-2f95c11286bc · outbound

This paper cites Multi-modal data-efficient 3d scene understanding for au- tonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Multi-modal data-efficient 3d scene understanding for au- tonomous driving

Reference 38

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Observation 28391eed-f662-4b4e-b0ee-05416f23ebff · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointpillars: Fast encoders for object detection from point clouds

Reference 39

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Observation 156d594b-fa53-4433-b919-207e745d958b · outbound

This paper cites Less is more: Reducing task and model complexity for 3d point cloud se- mantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Less is more: Reducing task and model complexity for 3d point cloud se- mantic segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.975141Z

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Observation f8bb37e8-1cee-4007-ae7e-564b555e55fc · outbound

This paper cites Seeground: See and ground for zero-shot open- vocabulary 3d visual grounding.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Seeground: See and ground for zero-shot open- vocabulary 3d visual grounding

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.960877Z

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Observation 8b3c6657-e2bb-42ff-9a81-b748c89ae5a8 · outbound

This paper cites Is your lidar placement optimized for 3d scene understanding? In Advances in Neural Information Processing Systems, pages 34980–35017, 2024.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Is your lidar placement optimized for 3d scene understanding? In Advances in Neural Information Processing Systems, pages 34980–35017, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.946996Z

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Observation 709d03c9-a084-4041-81f8-0e9a61b93645 · outbound

This paper cites Exploring geometry-aware contrast and cluster- ing harmonization for self-supervised 3d object detection.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Exploring geometry-aware contrast and cluster- ing harmonization for self-supervised 3d object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.932957Z

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Observation 61f230a0-9411-475a-9baf-c38d144490aa · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 44

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Observation 008b9d15-6cd2-4b01-9f1d-3b866e1087dd · outbound

This paper cites Lidar-based 4d occu- pancy completion and forecasting.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Lidar-based 4d occu- pancy completion and forecasting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.919462Z

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Observation 99aff07b-c6bd-4548-82c8-a8a38967b21b · outbound

This paper cites Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:32:35.812011Z

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Observation c2e9b36d-ca25-45bd-a113-6470c2b9eeda · outbound

This paper cites Leaf: Learning frames for 4d point cloud sequence understanding.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Leaf: Learning frames for 4d point cloud sequence understanding

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.905370Z

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Observation cd56d24f-ff47-482a-88c4-7a5dcd89df56 · outbound

This paper cites Uniseg: A unified multi-modal li- dar segmentation network and the openpcseg codebase.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Uniseg: A unified multi-modal li- dar segmentation network and the openpcseg codebase

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.890459Z

Source-reported events for the cited work

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Observation 49b80828-0293-48c0-ac54-53b8e1f186b8 · outbound

This paper cites Seg- ment any point cloud sequences by distilling vision founda- tion models.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Seg- ment any point cloud sequences by distilling vision founda- tion models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.876521Z

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

Observation f6e0e33b-201d-4d2a-b31c-3d472c771bcb · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Petrv2: A unified framework for 3d perception from multi-camera images

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.863109Z

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Observation 44b6e13b-0220-4ef7-88f3-faf0c00ea7a2 · outbound

This paper cites Multi- space alignments towards universal lidar segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Multi- space alignments towards universal lidar segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.848962Z

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 e9a4a2e1-f3b3-4a9c-b717-89febea07e53 · outbound

This paper cites Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:34.713298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c075b4aa-98df-4328-ba6e-f3f0fe62c765 · outbound

This paper cites Decoupled Weight Decay Regularization.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Decoupled Weight Decay Regularization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:34.777062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc67cd17-ebf3-42d2-9aec-f389afbffb98 · outbound

This paper cites Self- supervised image-to-point distillation via semantically tol- erant contrastive loss.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Self- supervised image-to-point distillation via semantically tol- erant contrastive loss

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.834959Z

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 0e8bde45-041f-4c4a-a248-73e12ccfcc3e · outbound

This paper cites Towards a weakly supervised framework for 3d point cloud object detection and annotation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Towards a weakly supervised framework for 3d point cloud object detection and annotation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.820703Z

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 38229c73-7118-46a0-8c5a-2cefcdbf79fe · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Rangenet++: Fast and accurate lidar semantic segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.807545Z

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 70f650f1-8f67-4a24-8691-13fdd7815e7c · outbound

This paper cites Tempo- ral consistent 3d lidar representation learning for semantic perception in autonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Tempo- ral consistent 3d lidar representation learning for semantic perception in autonomous driving

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.793695Z

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 ac1daeef-2e54-485d-957d-c2eb087cd49c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations DINOv2: Learning Robust Visual Features without Supervision

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:35.153239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a9cd335-8732-462e-8b7a-cf66a61f54c2 · outbound

This paper cites Semanticposs: A point cloud dataset with large quantity of dynamic instances.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Semanticposs: A point cloud dataset with large quantity of dynamic instances

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.778477Z

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 e3404382-08ed-4691-9c96-ce35b0d0394c · outbound

This paper cites Unsupervised 3d point cloud representation learning by triangle constrained contrast for autonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Unsupervised 3d point cloud representation learning by triangle constrained contrast for autonomous driving

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.763907Z

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 8a246354-f54a-462b-80a0-0e4f02e8897b · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Masked autoencoders for point cloud self-supervised learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.749145Z

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 79c592c9-f60d-4144-a033-e196741049e9 · outbound

This paper cites Learning to adapt sam for segmenting cross- domain point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Learning to adapt sam for segmenting cross- domain point clouds

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.733192Z

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 e7ca6b32-94cd-42db-ad9d-c8adb935cb57 · outbound

This paper cites Three pillars improving vision founda- tion model distillation for lidar.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Three pillars improving vision founda- tion model distillation for lidar

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.717115Z

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 bb9489d3-680a-4ce6-971e-ce2c698575d2 · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.699958Z

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 bf5fb795-7714-4916-9e84-638aa960b41e · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.684607Z

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 39114cc8-f472-4517-95a3-52c9334ab852 · outbound

This paper cites Joint long-term prediction of human motion using a planning- based social force approach.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Joint long-term prediction of human motion using a planning- based social force approach

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.669950Z

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 ded19850-666c-4cdd-ab2b-6548df67306a · outbound

This paper cites Gipso: Geometrically informed propa- gation for online adaptation in 3d lidar segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Gipso: Geometrically informed propa- gation for online adaptation in 3d lidar segmentation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.654497Z

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 76eba6f3-1b55-4815-8f72-7e8a588608eb · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Image-to-lidar self-supervised distillation for autonomous driving data

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.634719Z

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 1e372e0f-5137-4688-9b03-bf3b42b664c9 · outbound

This paper cites Bevcontrast: Self-supervision in bev space for automotive lidar point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Bevcontrast: Self-supervision in bev space for automotive lidar point clouds

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.618297Z

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 56d3acde-20ab-4485-b84b-293dae4a345b · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.602431Z

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 40c6149d-b8b2-483c-b9fb-55defb0319c9 · outbound

This paper cites Backward atten- tive fusing network with local aggregation classifier for 3d point cloud semantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Backward atten- tive fusing network with local aggregation classifier for 3d point cloud semantic segmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.587126Z

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 377066c2-2f2c-4ed9-8fba-255c03d42ee7 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learn- 24 ing rates.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Super-convergence: Very fast training of neural networks using large learn- 24 ing rates

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.569276Z

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 b7411782-d9d2-4027-bcb2-11cc1ddda8c5 · outbound

This paper cites An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:32:35.734773Z

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 7d9bd1c6-0b6c-4a95-8e3d-8617a2b6d340 · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Scalability in perception for autonomous driving: Waymo open dataset

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.551835Z

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 f7e59418-1760-45a5-bed7-26f0e8783f15 · outbound

This paper cites Searching efficient 3d architectures with sparse point-voxel convolution.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Searching efficient 3d architectures with sparse point-voxel convolution

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.534464Z

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 1dc2872e-d75b-4ee1-9065-d20a4e49495f · outbound

This paper cites Prediction-uncertainty- aware decision-making for autonomous vehicles.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Prediction-uncertainty- aware decision-making for autonomous vehicles

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.517259Z

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 96e33125-9aef-4fcc-8600-4ea732b024d6 · outbound

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Kpconv: Flexible and deformable convolution for point clouds

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.501344Z

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 726aca58-32f5-45a6-9b80-98f17016f2d2 · outbound

This paper cites Scribble- supervised lidar semantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Scribble- supervised lidar semantic segmentation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.485808Z

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 af28b7ab-3f8d-43c3-b24b-1b30e55c1cba · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.470022Z

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 c56a9dc5-3e61-461f-814a-577bafc81156 · outbound

This paper cites Pointlora: Low-rank adaptation with token selection for point cloud learning.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointlora: Low-rank adaptation with token selection for point cloud learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.454234Z

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 454c4ce7-b3f5-4ffc-be2d-25b3f1461660 · outbound

This paper cites Nuc-net: Non-uniform cylindrical partition network for ef- ficient lidar semantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Nuc-net: Non-uniform cylindrical partition network for ef- ficient lidar semantic segmentation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.439754Z

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 efe91bb9-1902-486d-abaa-6f1e52713fb2 · outbound

This paper cites Semi-supervised 3d object detection with patchteacher and pillarmix.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Semi-supervised 3d object detection with patchteacher and pillarmix

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.424698Z

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 1396c816-7b48-45c5-b6b0-656d35e1acfc · outbound

This paper cites Spatiotemporal self-supervised learn- ing for point clouds in the wild.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Spatiotemporal self-supervised learn- ing for point clouds in the wild

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.408972Z

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 1c53e0b5-1925-4a77-8b6c-fe7767bbcb6a · outbound

This paper cites Polarmix: A general data augmen- tation technique for lidar point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Polarmix: A general data augmen- tation technique for lidar point clouds

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.392236Z

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 6c4715b9-1246-446c-a279-1fca05869946 · outbound

This paper cites Transfer learning from synthetic to real lidar point cloud for semantic segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Transfer learning from synthetic to real lidar point cloud for semantic segmentation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.376442Z

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 81137b76-8d25-460f-bbbe-63c73ce8d370 · outbound

This paper cites Unsupervised point cloud rep- resentation learning with deep neural networks: A survey.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Unsupervised point cloud rep- resentation learning with deep neural networks: A survey

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.360794Z

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 2bc98346-0d24-4d12-9517-1b3120710dbb · outbound

This paper cites 3d semantic segmenta- tion in the wild: Learning generalized models for adverse- condition point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations 3d semantic segmenta- tion in the wild: Learning generalized models for adverse- condition point clouds

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.344360Z

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 80e778de-a114-448f-9c3f-ec93d0fb9d64 · outbound

This paper cites A survey of label-efficient deep learning for 3d point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations A survey of label-efficient deep learning for 3d point clouds

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.326078Z

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 eb25ba8d-46a2-40e4-a817-b8b9d0e7fed9 · outbound

This paper cites Pointcontrast: Unsupervised pre- training for 3d point cloud understanding.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Pointcontrast: Unsupervised pre- training for 3d point cloud understanding

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.308834Z

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 911cd285-ed93-46dd-a23a-b8496d411293 · outbound

This paper cites Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:35.442839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a54d00-dcc9-44ad-abb6-28fc3724330c · outbound

This paper cites Benchmarking and improving bird’s eye view perception robustness in au- tonomous driving.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Benchmarking and improving bird’s eye view perception robustness in au- tonomous driving

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.291834Z

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 cbd2ca31-cde6-4aea-8589-1aec5ec05e5b · outbound

This paper cites Squeeze- segv3: Spatially-adaptive convolution for efficient point- cloud segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Squeeze- segv3: Spatially-adaptive convolution for efficient point- cloud segmentation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.272977Z

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 e6c09468-f49c-472f-8721-5db012172bbd · outbound

This paper cites Rpvnet: A deep and efficient range-point- voxel fusion network for lidar point cloud segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Rpvnet: A deep and efficient range-point- voxel fusion network for lidar point cloud segmentation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.255408Z

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 34b3d0d1-2274-4b04-8293-3af400b16968 · outbound

This paper cites Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:32:35.694292Z

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 4b7dd5af-9273-46f5-bc02-007824c0661f · outbound

This paper cites Weakly supervised seman- tic point cloud segmentation: Towards 10x fewer labels.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Weakly supervised seman- tic point cloud segmentation: Towards 10x fewer labels

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.239121Z

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 6d0355f2-8f2b-48a6-a9b1-60728e07856b · outbound

This paper cites 4d contrastive superflows are dense 3d representation learners.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations 4d contrastive superflows are dense 3d representation learners

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.222851Z

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 84965f01-e521-4148-9b72-43b711fcd0a2 · outbound

This paper cites Frnet: Frustum-range networks for scalable lidar segmen- tation.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Frnet: Frustum-range networks for scalable lidar segmen- tation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:32:36.190958Z

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 8647233d-e339-46d7-a1a8-e21cdc762aad · outbound

This paper cites Limoe: Mixture of lidar represen- tation learners from automotive scenes.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Limoe: Mixture of lidar represen- tation learners from automotive scenes

Reference 98

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This paper cites Su- perflow++: Enhanced spatiotemporal consistency for cross- modal data pretraining.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Su- perflow++: Enhanced spatiotemporal consistency for cross- modal data pretraining

Reference 99

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This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations 2dpass: 2d priors assisted semantic segmentation on lidar point clouds

Reference 100

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