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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2507.05260.

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

pith.paper-citation-record.v1
2507.05260 v1

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:32:35.491554Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 112 outbound references displayed

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  • verified fuzzy56
  • unresolved41
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External citation measurements

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Outbound references

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

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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

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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

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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

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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

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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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:32.490664Z digest=sha256:b7ba09a4674d737631cf1571731e4227771febd7ebdba8f1bd4703d969eff49f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:32:37.018274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:32.663933Z digest=sha256:a3131986f50c216f1fab47f363ad1785735914c0b240de8375a99cf3b45b96b5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:32.836416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:32.836416Z digest=sha256:17040d0d0ed784126132640c1925c2f254e218c9d6c5729e6ec9f0eefa85cf66

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:32:37.002790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.008590Z digest=sha256:ec8ddf279d1d3e7cd8e296ea082e4056cb55583ceddc16d5e5f47bf8a79c1a9a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:32:36.988805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.268043Z digest=sha256:905f4801a309fd4bf3fee3b5c97af919ad20a4367a28b6c2954ec1786e4f11f9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.496889Z digest=sha256:245120e0a3d118994c52859b2feace730cdefb36b37b9cf66074ac1a9745c76e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.637196Z digest=sha256:6ecfaf0c55b5a445debf3b95c2082e156380b9348d7f1ccafec721475f397813

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.760917Z digest=sha256:5f38daee3c30dbb95cae92dab0bbc52a0fdfa7d533676e22e1c1a5e71f52ef4e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.805629Z digest=sha256:c0f7e75f6eea84fcb6240e680f11249b4ad44f36d5a5b673c9b86ae9a6af1679

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:33.897370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:33.897370Z digest=sha256:d2eef831f0589b023c5a80b2fbdf0f27c39bd0a4bf6a074087bae3e67152663d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:33.968713Z digest=sha256:74a957fca03071d4985b5b3ea466ae7947fc2fecd9ab82931579ae78e852b5c7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.075638Z digest=sha256:360232312eb10f724769426294500e8f357a832504133147e354e01b1ec78878

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.190146Z digest=sha256:261cee10a889979dadbeede3b25310634036b4c42968201a577b6128ff98cfb2

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

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.382299Z digest=sha256:6a1c6469500a913727f8cc266fc76113eaca5b53bb9881cf504e755fe9bec915

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.514817Z digest=sha256:9cb8fe38f5af10720b481448c0ef47c387cb00e36649ac8506bd5b5924ec2a35

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.582101Z digest=sha256:328269956b6e2bd53db8b282488f9f4d6b2311e2f04d9fdf0e771235b0c0503f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.648125Z digest=sha256:68921b6731ef2bb223b9d23f40d0a3d025e423bb8bfaa172b59d58e52e884dea

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.

source=pdf_text observed=2026-08-06T19:32:34.713298Z digest=sha256:4c6a7a08ee2ecd2ebf15c4fd711ad305a5a16dcbfe5af434e1f5a1fa6a56447e

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.

source=pdf_text observed=2026-08-06T19:32:34.777062Z digest=sha256:c2dad11e7121b66eace081091b217b6398ccbefddeab7791d17baecc18907a79

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.839748Z digest=sha256:3e26d80856971d107b0dc1ac42021753f989121f1d86d9676a8e195bee353fa7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.914160Z digest=sha256:0626817335b0b277b96702ff385ce725ec43c53c0f40ee09c1b4b78f491c67dc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:34.985386Z digest=sha256:a82a0f91f752c1a3b8695afeff427a03075b41e039b970ed124b31b22acbb452

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.068052Z digest=sha256:4688f6c365e7bab98df21abc7c0b09c0bbbcd4477e18d2543d1e28d863fb5695

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.

source=pdf_text observed=2026-08-06T19:32:35.153239Z digest=sha256:b11115ad317a9c41e0c2020a4383e4083a3cc5340a9c95b3d811f4d025218477

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.214516Z digest=sha256:3172d8ece21a6379d9dc8604881941a02e0e344f2c322fcc3955e684f0b93148

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.295124Z digest=sha256:2ab000f8920d870d830bb55288f8c75c1ec4e2476acbfcbe39280de427b789c8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.306375Z digest=sha256:571553923c636460beb837363d0611cf3d42de19b8ebe270b288eb2c1bd71817

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.311348Z digest=sha256:cb641248016f1903190ce6f87d6daf5d920018d4662780cf625dc32298828819

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.316442Z digest=sha256:2678ee974d3a501d34c747457d3ac6056d100f57fd7cd75931e236e238949d8c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.321206Z digest=sha256:d95dcd1d20907af0d3d02605e3ae3f4e31ce4e3577060616d30ee3922baa18b4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.325735Z digest=sha256:3c2c8bf220daf40482141bfd554b88b6abe9d133372784a2120b3f10ab895c8b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.331907Z digest=sha256:a814daaa643a5e1b9749465267c0b5dd8022ff3f08db19faad7ac650843549b3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.337378Z digest=sha256:70e2b115d2eadfc4bdf4adb2f26e3ec20ab769175cebd7a6df0aa117da051165

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.341880Z digest=sha256:89ab70409a45aa17e0873aa7019980934d65ce13950576cab93a91147b6cc66d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.347108Z digest=sha256:b846d76544b4743e3819c82725cda329fd9ca562787eb29f1208db2b491ab892

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.356086Z digest=sha256:254f1dd16fdf8e6ac6dae20c5da8071cfc607209a6e0adf614157321b64055f9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.360967Z digest=sha256:1e4bc05c2b996c123e06e276294ecb26bd1acfb1ba78c162a4a3707d8b5fb7c6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.365025Z digest=sha256:0a271c89277fdf6a7a96077d533f91b5d8003c45ed8ce585261a1ec06cd185df

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.369632Z digest=sha256:9e50582a097dd5b876ee547677a559214a34d9b1a74a4920390a987e7c184838

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.374215Z digest=sha256:60cbcba16555caadfbdb6edc312568f501924fed62d657d7e4fe1ba9e0c87b99

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.378843Z digest=sha256:cb13da642f973a01c575836017f652fe5ce1654441e8a553dfcf4f9d94ce5dc7

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.388112Z digest=sha256:234d9f8cb5d62b8030ee2f2c03a260f9fc599188d4007cb041aec4221a051721

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.392768Z digest=sha256:5bcda4829911737542fdd77b4c6096aca4b8e4bae387c03e8cada68329db7281

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.397604Z digest=sha256:e8aa28f8d4ed3ac01e3a1776e655f62b76b1d8221ee04972b0af2dc4985fc681

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.402458Z digest=sha256:30427ae919c1e3bcfc4b461d4e01383db9c883ffb0be765b528559e2558b58a9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.406758Z digest=sha256:c9c78d0788ea96192f2a8a04cd17a46be383fae4af17aaccb2cd4673000db220

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.411728Z digest=sha256:cb541f83a1fdb2405999f7bfd871ecd44e923dae2618fa791fbc385dd8e8ed21

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.415981Z digest=sha256:b64af52866f98beb154a6182c519ed77fdaef8bc7dccc6af0c5ae27a04152a99

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.421342Z digest=sha256:f16345c6b2a95164f14ad4de9e9d7d080db4160b0294080bbe50f911e4a3348e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.425433Z digest=sha256:6d0970debfe3b9d1c1ed2b5d2b4bb568721b34ee341bb85e209c75aca04b76cc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.429698Z digest=sha256:1ff54ec07467f9738bd1b75d1659ac99da556b47de6b10bc672be48a06008bd2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.433962Z digest=sha256:48f48335088b7d856ae254a93e268c623677c877bd9fd7c9e98699363667fdff

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.438632Z digest=sha256:e8f4e4e6273b012eaabefa53d4fc67148c5bc0c767e7303fe12610eb85ec3ef4

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.

source=pdf_text observed=2026-08-06T19:32:35.442839Z digest=sha256:a8b4ad8db5b092f96ea893c780cc4e7a628421ecfc9ae3d00bb6c8c35e572d9b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.447852Z digest=sha256:79f4d905471f1e31d876e28e51b63543d53bff51a438f89fb5ade467394d8eb2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.452334Z digest=sha256:2249c4ada0674098dc0d20bc52a3e227a6ad5cf02a8796f004d2d900de2dd455

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.456611Z digest=sha256:cb961bb05979d0bd507e0977e4ac852bff2b55cdfc3ebf9921a86fdd5a96d1f9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.460848Z digest=sha256:5d250d47767a63df2283d37969f2e3a9e1c7ae14c913d11e5eed993c7f670463

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.465347Z digest=sha256:8d1ff23746f9a06f1a50d6e830fccdbec71649fae5faed0a338297261c78c97c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.469452Z digest=sha256:d6ceaa8ce144ee9840716dce63ccf9f665df508769e2e13d67461dac06952e0a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.478271Z digest=sha256:ad9c9895165789133078ed2313111b83a0db46770d52395e92f97b158cb7cfdb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:32:36.175069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.482782Z digest=sha256:2241fe2c55290563e55bc30775170806b74e35c744bba189581a40bff19ec643

Observation dc639e42-4216-4c01-8481-76277b6af331 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:35.487200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:35.487200Z digest=sha256:c819f86712dd34ab14ed8fd60f431f79dc9528e7c2261d1416161a90d0394cb7

Observation 0ed73068-c6f8-4825-a425-8286440da86c · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:32:36.159846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:32:35.491554Z digest=sha256:98fb1ca981cce9760a1bd96a1787d76a39628d369abb6c752325d1bea4046b57

Pith citing papers

No inbound Pith citation observations are available.