Paper Citation Record · LEDGER

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2506.18785.

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

pith.paper-citation-record.v1
2506.18785 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:03.958199Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:13.162855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:22:34.789714Z

Reference resolution

42 of 42 outbound references displayed

verified exact2
verified fuzzy36
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c3d463c-bb89-4192-a8d1-0e7d1393491b · outbound

This paper cites Cf-dan: Facial-expression recognition based on cross-fusion dual-attention network,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Cf-dan: Facial-expression recognition based on cross-fusion dual-attention network,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:12.214745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 567194dd-330f-42d0-bba7-a9af55e5d69b · outbound

This paper cites Multi-scale video super-resolution transformer with polynomial approximation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Multi-scale video super-resolution transformer with polynomial approximation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:12.017120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 639cf03d-a2e8-4dc8-9109-50913fdfd4fc · outbound

This paper cites A medical image segmentation model with auto-dynamic convolution and location attention mecha- nism,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving A medical image segmentation model with auto-dynamic convolution and location attention mecha- nism,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:11.889509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c447a47-032e-4e49-96d6-c598d19a8d19 · outbound

This paper cites V oxelNet: End-to-end learning for point cloud based 3D object detection,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving V oxelNet: End-to-end learning for point cloud based 3D object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:11.699949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ab53b46-7699-45a0-8340-6d83735de8a7 · outbound

This paper cites Cylindrical and asymmetrical 3D convolution networks for LiDAR segmentation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Cylindrical and asymmetrical 3D convolution networks for LiDAR segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:11.449129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a42fbe25-e854-421e-b273-501e78ba0066 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:11.193731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77ad764f-df45-423e-9dbf-91ffe327e2c6 · outbound

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

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:10.914815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb3e0e97-3c31-45ad-b042-b84f35a5a36d · outbound

This paper cites SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:00.713915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877403b3-19bb-4b42-8201-2d4ab50c4fce · outbound

This paper cites Adaptive fusion of lidar features for 3d object detection in autonomous driving,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Adaptive fusion of lidar features for 3d object detection in autonomous driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:10.683392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e8bd41d-198a-460f-9b5c-5720339cd4c0 · outbound

This paper cites Center-based 3D object detection and tracking,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Center-based 3D object detection and tracking,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:10.408599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35d8165e-c3a6-4b1f-b200-aeceff50be21 · outbound

This paper cites MobileStereoNet: Towards lightweight deep networks for stereo matching,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving MobileStereoNet: Towards lightweight deep networks for stereo matching,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:10.152116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e7232b9-a41f-4012-8a05-319ff5a033f2 · outbound

This paper cites Pseudo-LiDAR from visual depth estimation: Bridg- ing the gap in 3D object detection for autonomous driving,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Pseudo-LiDAR from visual depth estimation: Bridg- ing the gap in 3D object detection for autonomous driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:09.963061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da8ca852-1005-4920-8486-ac54f8c22124 · outbound

This paper cites Pseudo-LiDAR++: Accurate depth for 3D object detection in autonomous driving,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Pseudo-LiDAR++: Accurate depth for 3D object detection in autonomous driving,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:09.716724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9612974-50a9-4a61-ab27-0c0eca71a494 · outbound

This paper cites SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:09.463254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff0e00a8-5f1a-42db-a5c1-24955be27713 · outbound

This paper cites Source-free domain adaptation with class prototype discovery,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Source-free domain adaptation with class prototype discovery,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:09.257565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9944797-5882-4ab0-b68e-b6bf8463d395 · outbound

This paper cites Self- prompting analogical reasoning for uav object detection,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Self- prompting analogical reasoning for uav object detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:09.040248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf364eb3-a98c-4999-836a-d00710242362 · outbound

This paper cites Semantic scene completion from a single depth image,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Semantic scene completion from a single depth image,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.891624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 481bb0a2-3812-4722-abb9-e8cf083090f6 · outbound

This paper cites SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.749398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 238e8733-ba04-4896-a009-2ec713e89ec3 · outbound

This paper cites LMSCNet: Lightweight multiscale 3D semantic completion,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving LMSCNet: Lightweight multiscale 3D semantic completion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.581706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f15b972-c721-4274-b03c-af9390af6915 · outbound

This paper cites MonoScene: Monocular 3D semantic scene completion,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving MonoScene: Monocular 3D semantic scene completion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.441224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0acd5d5-1618-40d4-8db9-b1d9c7612d92 · outbound

This paper cites OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:21:04.907416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67806683-8d6e-47a5-81ae-20a533a51aa3 · outbound

This paper cites V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.326027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c728bf6b-1019-4e90-95d9-ebf3747cfebd · outbound

This paper cites OccFormer: Dual-path transformer for vision-based 3d semantic occupancy prediction,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving OccFormer: Dual-path transformer for vision-based 3d semantic occupancy prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.236971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0f20df3a-fe86-49ae-ba68-592ab9ab8294 · outbound

This paper cites Deformable DETR: Deformable transformers for end-to-end object detection,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Deformable DETR: Deformable transformers for end-to-end object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:08.047468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6ad637e-2812-476e-ad4c-a6171775e351 · outbound

This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:02.315175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ff4153-efcd-4b02-a212-30e6061ffd29 · outbound

This paper cites Sparse 3D convolutional neural networks,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Sparse 3D convolutional neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:07.814745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 605738f9-d5f4-4259-b94c-aa79a15ad79d · outbound

This paper cites 3D semantic segmentation with submanifold sparse convolutional networks,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving 3D semantic segmentation with submanifold sparse convolutional networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:07.616239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f430bc32-5a70-4459-9c0d-cfa9242a9a82 · outbound

This paper cites Sparse convolutional neural networks,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Sparse convolutional neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:07.417936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e915cbe-730b-4833-9b60-c4401c715f65 · outbound

This paper cites Stratified transformer for 3D point cloud segmentation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Stratified transformer for 3D point cloud segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:07.206749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f46eb5cc-0fcd-4eb7-9a4f-d0393600b6dd · outbound

This paper cites Spherical transformer for LiDAR-based 3D recognition,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Spherical transformer for LiDAR-based 3D recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:07.003335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baa258e7-f9b3-47ff-8266-c533efdb80bd · outbound

This paper cites V oxel transformer for 3D object detection,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving V oxel transformer for 3D object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:06.760524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4305fc9-c149-477e-9294-95508d151030 · outbound

This paper cites Semantic scene completion using local deep implicit functions on LiDAR data,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Semantic scene completion using local deep implicit functions on LiDAR data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:06.533166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b670790-d243-459b-8f84-1a77fab0728f · outbound

This paper cites Semantic segmentation-assisted scene completion for LiDAR point clouds,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Semantic segmentation-assisted scene completion for LiDAR point clouds,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:06.261406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 138fccaf-2c98-4cf3-a7d9-f4ef51cd8d32 · outbound

This paper cites Sparse single sweep LiDAR point cloud segmentation via learning contextual shape priors from scene completion,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Sparse single sweep LiDAR point cloud segmentation via learning contextual shape priors from scene completion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:06.041889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df5f9d35-72d3-4fee-a60d-b170ae047a05 · outbound

This paper cites S3CNnet: A sparse semantic scene completion network for LiDAR point clouds,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving S3CNnet: A sparse semantic scene completion network for LiDAR point clouds,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:05.840938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b02285e-cc1a-41fb-bd26-a62a146a4892 · outbound

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

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Are we ready for autonomous driving? the KITTI vision benchmark suite,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:05.657759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 181528c0-8e2d-4bd7-8e54-250f0b9bbb04 · outbound

This paper cites SpConv: Spatially sparse convolution library,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SpConv: Spatially sparse convolution library,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:05.527459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4069bfc4-fb67-4eea-970f-d2c95d290785 · outbound

This paper cites LLM-Enhanced multimodal fusion for Cross-Domain sequential rec- ommendation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving LLM-Enhanced multimodal fusion for Cross-Domain sequential rec- ommendation,

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:21:04.546850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9af5b896-9494-4706-9c7a-1d78df208c91 · outbound

This paper cites Image fusion for cross-domain sequential recommendation,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Image fusion for cross-domain sequential recommendation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:05.358288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02e26762-cc99-4b66-97e7-ee12b72ea70d · outbound

This paper cites Prompt categories cluster for weakly supervised semantic segmenta- tion,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Prompt categories cluster for weakly supervised semantic segmenta- tion,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:05.148390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bcf8a50-a9c1-481e-9d4f-f0ed6c5309d9 · outbound

This paper cites SGLP: A similarity guided fast layer partition pruning for compressing large deep models,.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SGLP: A similarity guided fast layer partition pruning for compressing large deep models,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:03.846395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43f5b67-54d2-4462-9466-983feaec7834 · outbound

This paper cites Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:03.958199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a7e72525-1075-400a-821c-226eef427567 · inbound

OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness cites this paper.

OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:13.162855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd8dbd2-1cdb-424b-834f-fd4b5bcddcba · inbound

Eyes All Around: Design and Analysis of 360-Degree LiDAR Perception Using Equivariant Feature Learning in Unstructured Traffic cites this paper.

Eyes All Around: Design and Analysis of 360-Degree LiDAR Perception Using Equivariant Feature Learning in Unstructured Traffic SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.791084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.