Paper Citation Record · LEDGER

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.14169.

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

pith.paper-citation-record.v1
2411.14169 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:32:47.491471Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact3
verified fuzzy24
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3504bf93-38b5-4faa-9183-f56ef013a858 · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Monoscene: Monocular 3d semantic scene completion,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.318014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd4257c-386e-4249-857c-82b4ac9de964 · outbound

This paper cites Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.322650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42b20e5-74db-4914-b20a-29709dde10df · outbound

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

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.123309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e97cf924-ae70-4cf7-8a9c-02e156cd4401 · outbound

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

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.112358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1b76671-acec-4f60-ab64-08d61c12f981 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Tri-perspective view for vision-based 3d semantic occupancy prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.100043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0540709-bc74-4511-89ed-23c7b9fc5441 · outbound

This paper cites UniVision: A Unified Framework for Vision-Centric 3D Perception.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting UniVision: A Unified Framework for Vision-Centric 3D Perception

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:32:47.657378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77361583-cf10-4faf-af81-19a7aea67e05 · outbound

This paper cites Selfocc: Self- supervised vision-based 3d occupancy prediction,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Selfocc: Self- supervised vision-based 3d occupancy prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.085478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b4704f1-e30c-4460-97cb-1b6010a83457 · outbound

This paper cites Point cloud forecasting as a proxy for 4d occupancy forecasting,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Point cloud forecasting as a proxy for 4d occupancy forecasting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.071179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53c91146-c23d-489b-a9bb-e9bd5225c775 · outbound

This paper cites Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.056962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e2e5854-e2ec-43f4-bb7a-75e9b9811088 · outbound

This paper cites Stretchbev: Stretching future instance prediction spatially and temporally,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Stretchbev: Stretching future instance prediction spatially and temporally,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.043986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1c0e668-104f-4bf5-869b-c1c0e7c34e8f · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.359044Z

Source-reported events for the cited work

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Observation bbf1f3a3-71fa-4ac5-9ede-45f77fd713c0 · outbound

This paper cites Powerbev: a powerful yet lightweight framework for instance pre- diction in bird’s-eye view,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Powerbev: a powerful yet lightweight framework for instance pre- diction in bird’s-eye view,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.030298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b74138f2-3edb-4cfe-bf88-651f0346d006 · outbound

This paper cites Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:48.017388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4edcee08-3033-489e-a079-68d376116661 · outbound

This paper cites LiDAR-based 4D Occupancy Completion and Forecasting.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting LiDAR-based 4D Occupancy Completion and Forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.371082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f0c4f7-6362-4880-9d41-c6d0d83a38fa · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.374735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be650c7-27bf-4108-add8-3a0acea9d373 · outbound

This paper cites UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.378279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66315e7f-0155-4619-ae25-e7f3bae0a108 · outbound

This paper cites OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:32:47.609983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9c06948-281d-401c-ba0a-d4f721221958 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting nuscenes: A multimodal dataset for autonomous driving,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.386459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd517f9-b526-46f2-a5ab-a6da9b7d8b76 · outbound

This paper cites Lyft level 5 perception dataset 2020,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Lyft level 5 perception dataset 2020,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.987604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ce5f56c-b18c-478f-964a-d3951c1ee42f · outbound

This paper cites Attention is all you need,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Attention is all you need,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.394461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3ba5ad-a8a3-4016-ab42-40125af21231 · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.398188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e099d6b-5456-43dc-933d-a1bebf5da3ac · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.956527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1438c508-9c1f-4bf2-8518-79a94c2cbf3d · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.944050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91069a47-1937-4c5c-a039-07e5493ee7dc · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.933604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7de4b5e-c3c7-4956-8e3f-adebe2f85b2f · outbound

This paper cites Multi-modal hierarchical transformer for occupancy flow field prediction in autonomous driving,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Multi-modal hierarchical transformer for occupancy flow field prediction in autonomous driving,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.922546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9396295c-4231-4b10-a59f-8816df6d87ab · outbound

This paper cites Occupancy flow fields for motion forecasting in autonomous driving,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Occupancy flow fields for motion forecasting in autonomous driving,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.420875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309f71fe-fbb8-441d-92b4-342648238963 · outbound

This paper cites Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.899887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3309eb1d-7308-45fb-b653-53c5beacea6b · outbound

This paper cites Mp3: A unified model to map, perceive, predict and plan,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Mp3: A unified model to map, perceive, predict and plan,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.886455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2be51fe1-df04-4eb8-bfa8-ff16d7275de9 · outbound

This paper cites Monet: Motion-based point cloud prediction network,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Monet: Motion-based point cloud prediction network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.872813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5e63fe6-adb0-44fd-8092-04ecff60f448 · outbound

This paper cites Pcpnet: An efficient and semantic-enhanced transformer network for point cloud prediction,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Pcpnet: An efficient and semantic-enhanced transformer network for point cloud prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.859210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d4e9868-c702-4fc8-b80d-9d6799dd1021 · outbound

This paper cites ATPPNet: Attention based Temporal Point cloud Prediction Network.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting ATPPNet: Attention based Temporal Point cloud Prediction Network

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:32:47.590738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e15a6c4d-681f-469a-bb1b-4547c962e703 · outbound

This paper cites Self-supervised point cloud prediction using 3d spatio-temporal convolutional net- works,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Self-supervised point cloud prediction using 3d spatio-temporal convolutional net- works,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.732220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b3320ad-339b-43cf-bd53-93e5d60afe05 · outbound

This paper cites PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.451190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa78ec5e-3509-45c8-9679-c53bdeccfcd4 · outbound

This paper cites OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.455530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6277ad01-75d3-4762-83df-c8e66b907c11 · outbound

This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.459743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23507d51-4c78-4669-ac56-b92ab23c1637 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.720794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b403d24-ca52-4fd1-8004-595c1856d252 · outbound

This paper cites Deep residual learning for image recognition,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Deep residual learning for image recognition,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.468292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc8d575-b145-44a5-8a69-b359c95c60f7 · outbound

This paper cites Video panoptic seg- mentation,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Video panoptic seg- mentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.700371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bee717ee-5639-41ce-a2e8-8f457fb5954d · outbound

This paper cites Self-training with noisy student improves imagenet classification,.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Self-training with noisy student improves imagenet classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.689419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3604dc8e-7046-46b0-8f12-250a9da37077 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Adam: A Method for Stochastic Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:47.482119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39d30bf-d186-46b1-936a-298a45e79380 · outbound

This paper cites IV of the main text.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting IV of the main text

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.677676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b78f164-4085-4379-8a3e-8d8addb40139 · outbound

This paper cites As shown in Fig.

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting As shown in Fig

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:47.667313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.