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Paper Citation Record · LEDGER

S2GO: Streaming Sparse Gaussian Occupancy Prediction

As of 7 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2506.05473.

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

pith.paper-citation-record.v1
2506.05473 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:09.805799Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

76 of 76 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec715d49-3300-48f5-a407-eddbbef6c3d4 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction nuscenes: A multi- modal dataset for autonomous driving

Reference 1

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Source-reported events for the cited work

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

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Observation dfed3133-d0ce-47de-a937-b780449ec365 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Monoscene: Monoc- ular 3d semantic scene completion

Reference 2

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Source-reported events for the cited work

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

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Observation ac198b7c-97f6-4681-b79b-d34d1f8de786 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Monoscene: Monoc- ular 3d semantic scene completion

Reference 3

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Source-reported events for the cited work

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

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Observation a695b184-2389-4f28-b866-6ba31893d83f · outbound

This paper cites End-to- end object detection with transformers.

S2GO: Streaming Sparse Gaussian Occupancy Prediction End-to- end object detection with transformers

Reference 4

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Source-reported events for the cited work

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

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Observation 6ad09cd5-0600-4a22-95a4-9a6f4f38c708 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 5

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Source-reported events for the cited work

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

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Observation 445246a3-384f-4ece-88d7-b2fdf20d459a · outbound

This paper cites Maptracker: Tracking with strided memory fusion for consistent vector hd mapping.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Maptracker: Tracking with strided memory fusion for consistent vector hd mapping

Reference 6

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Source-reported events for the cited work

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

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Observation dc740e94-982c-454d-9613-f13739488f4b · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

S2GO: Streaming Sparse Gaussian Occupancy Prediction FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d01e829-9a1e-45bc-ae3b-2674c994bb59 · outbound

This paper cites A comprehensive framework for 3d occupancy estimation in autonomous driving.IEEE Transactions on Intelligent Vehi- cles, 2024.

S2GO: Streaming Sparse Gaussian Occupancy Prediction A comprehensive framework for 3d occupancy estimation in autonomous driving.IEEE Transactions on Intelligent Vehi- cles, 2024

Reference 8

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Source-reported events for the cited work

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

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Observation 894e5836-6c54-4d1c-b1ff-486a5fed1a3a · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 9

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Source-reported events for the cited work

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

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Observation 38ad241b-afb8-4224-ba21-ba91525b2bbe · outbound

This paper cites Deep residual learning for image recognition.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Deep residual learning for image recognition

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7976c3c-add3-4e97-928a-0d782da86e59 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

S2GO: Streaming Sparse Gaussian Occupancy Prediction BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 11

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Observation 57e1e364-0652-4343-95d0-8a7966db0da6 · outbound

This paper cites Bevdet4d: Exploit temporal cues in multi-camera 3d object detection, 2022.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Bevdet4d: Exploit temporal cues in multi-camera 3d object detection, 2022

Reference 12

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raw_fallback, observed 2026-08-07T10:27:10.410639Z

Source-reported events for the cited work

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

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Observation 8bbdb542-7db0-4c59-8b3e-79f4d9788ec4 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Tri-perspective view for vision- based 3d semantic occupancy prediction

Reference 13

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Source-reported events for the cited work

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

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Observation 6e3968ee-06d6-43e4-ab84-48a002c04052 · outbound

This paper cites Tri-perspective view for vision-based 3d se- mantic occupancy prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Tri-perspective view for vision-based 3d se- mantic occupancy prediction

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.626667Z digest=sha256:c3189d297bcb1ae7a44d79bd69b1cb92affbe605bfb2352c287d34aff7172b82

Observation c46607a2-0075-4bb9-94c8-b2a0fe43c548 · outbound

This paper cites GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 15

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Observation 0a8c4d85-6343-4b0f-9035-3c1025747a3c · outbound

This paper cites Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction, 2024.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction, 2024

Reference 16

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raw_fallback, observed 2026-08-07T10:27:10.387283Z

Source-reported events for the cited work

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

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Observation 82de688c-5db4-47d9-a60e-fe25e9959a67 · outbound

This paper cites Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction

Reference 17

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Observation 3d385177-acdc-43aa-8f05-d83274a1db6f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

S2GO: Streaming Sparse Gaussian Occupancy Prediction 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 18

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Source-reported events for the cited work

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Observation 6c84bc02-6f10-4741-aca9-c4dba1b51837 · outbound

This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework.

S2GO: Streaming Sparse Gaussian Occupancy Prediction HDMapNet: An Online HD Map Construction and Evaluation Framework

Reference 19

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Source-reported events for the cited work

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Observation 403160d7-3a65-4fac-87da-0b7dca146d52 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion, 2022.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion, 2022

Reference 20

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Source-reported events for the cited work

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

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Observation 8febc59c-8347-41b6-97a6-190dfe387c7e · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 21

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Source-reported events for the cited work

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

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Observation e8912af6-b17d-411a-be56-d90b32c20898 · outbound

This paper cites Alvarez, Sanja Fidler, Chen Feng, and Anima Anandkumar.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Alvarez, Sanja Fidler, Chen Feng, and Anima Anandkumar

Reference 22

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Source-reported events for the cited work

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

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Observation 124dc0ed-b6ff-47c8-b618-5c266bb9aa15 · outbound

This paper cites Sscbench: A large-scale 3d semantic scene comple- tion benchmark for autonomous driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Sscbench: A large-scale 3d semantic scene comple- tion benchmark for autonomous driving

Reference 23

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Source-reported events for the cited work

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

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Observation 7e7b7c33-0a4e-47bb-a633-8a5b461fe80e · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 24

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Source-reported events for the cited work

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

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Observation a6edca6f-c2c7-4d14-8e66-efec5e422ac1 · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

S2GO: Streaming Sparse Gaussian Occupancy Prediction BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 25

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Observation c6437916-9931-408d-b43b-31e7aaa1d736 · outbound

This paper cites an unresolved cited work.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Unresolved cited work

Reference 26

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Source-reported events for the cited work

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

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Observation 2a7a1ce1-b2ff-45ca-b856-8c8de5699911 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

S2GO: Streaming Sparse Gaussian Occupancy Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a163fb4f-b2db-4120-aa9b-15443681e2a9 · outbound

This paper cites MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b31e1660-596d-4d5c-a2d9-fbf828acb704 · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024

Reference 29

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Source-reported events for the cited work

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

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Observation f52cf583-05f0-43fc-9a01-33179fda1226 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022

Reference 30

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Source-reported events for the cited work

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

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Observation cfe1a25a-b3a1-4528-828c-d82ae1e818a2 · outbound

This paper cites Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion, 2022.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion, 2022

Reference 31

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.676194Z digest=sha256:48e4c2e288854adfb12a91da972567789b60500a5f2237d02aff1a23b0ed03ac

Observation a848f260-8689-4e84-9941-abc9fc3a1397 · outbound

This paper cites Sparse4D v3: Advancing End-to-End 3D Detection and Tracking.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.678966Z digest=sha256:d407a7599ff04f2e3ec03a97f89ff21d014a2a9ffe5e59029a88b48eb3b4ff2b

Observation 6c4ce289-d4c9-4a5f-9872-bf8e17a50d9f · outbound

This paper cites Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos

Reference 33

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.681969Z digest=sha256:d8d0f6863b798468148bb23fb5fa9864198fcc85907e223627a21665ad589a2c

Observation 2e7875af-d4e5-4445-9679-329b7f281fc0 · outbound

This paper cites Fully sparse 3d occupancy prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Fully sparse 3d occupancy prediction

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.684609Z digest=sha256:55e581f97fffd2e54b08d2877c5f45f31506c8036b6239dd9126dd704869aa18

Observation adedbfc9-f045-47a5-afca-5a3fe57368de · outbound

This paper cites Petr: Position embedding transformation for multi-view 3d object detection.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Petr: Position embedding transformation for multi-view 3d object detection

Reference 35

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raw_fallback, observed 2026-08-07T10:27:10.272501Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.687644Z digest=sha256:3831083213add370eb33caa390533690ce86351a5de96f5957081baaac14f5d7

Observation 749f3f96-f7d8-4b0d-aa43-114799082f66 · outbound

This paper cites DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention.

S2GO: Streaming Sparse Gaussian Occupancy Prediction DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.690707Z digest=sha256:4b7f09c9e74a3ce75dd10f8e04e7990b839f4ff9fbccaef30dbee377d91ffc90

Observation a865c520-0ccd-49c3-9df4-4ffe92ce507f · outbound

This paper cites Taming 3dgs: High-quality radiance fields with limited resources.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Taming 3dgs: High-quality radiance fields with limited resources

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.263456Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.693921Z digest=sha256:645c9ff376ed8b0e5a6a8b9c18693eafe27f0cf8e8216645372b9980dca844f3

Observation cc4fc14e-11ec-44bf-9174-ded5fd34d940 · outbound

This paper cites Mobileye under the hood.https://www.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Mobileye under the hood.https://www

Reference 38

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raw_fallback, observed 2026-08-07T10:27:10.255162Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.697193Z digest=sha256:c9a280b0cecc7f2cb97d19f18f2ea87bbd949a7036b478591c41a05d117628b0

Observation d8d8655e-4c86-4b6d-859d-212f085b2158 · outbound

This paper cites Atlas: End- to-end 3d scene reconstruction from posed images.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Atlas: End- to-end 3d scene reconstruction from posed images

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.246544Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.699815Z digest=sha256:40356f082bf2b90e7f4f2801f48cdcc7759bad29495e94cb4f9f8e167451980c

Observation c61a913f-7c00-441f-90a6-838cbd0832c0 · outbound

This paper cites Renderocc: Vision-centric 3d occupancy pre- diction with 2d rendering supervision.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Renderocc: Vision-centric 3d occupancy pre- diction with 2d rendering supervision

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.237795Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.702462Z digest=sha256:151ff25fd16bdcd0d893508827a85626d7716ef2fef846e75f8492e2eef1d015

Observation 968ebb8e-1724-4d44-8c80-58415cc703b2 · outbound

This paper cites DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes.

S2GO: Streaming Sparse Gaussian Occupancy Prediction DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes

Reference 41

Resolution
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no resolver link, observed 2026-08-07T10:27:09.705146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.705146Z digest=sha256:a7df9dd1ec7a10080eb7d7b879f8fd60169a5348fab45b8a6040b765854ec821

Observation ef67c319-07ff-46f9-a5ce-fffa73826b44 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.228763Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.708524Z digest=sha256:8b4782178c33b659e3e40f894f0fb6a2178bebcd8278f5f33c6b7936945ee2fd

Observation 2a68c60a-74a1-4df7-88ff-1f1d889446c5 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic com- pletion.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Lmscnet: Lightweight multiscale 3d semantic com- pletion

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.219122Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.711701Z digest=sha256:c788ce638440ce32d37b6d182486059daf8eec74c4b79a101ed10d28bbb7e57e

Observation fe0d7a90-7661-437c-97a3-330d5537fa82 · outbound

This paper cites Occupancy as set of points, 2024.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Occupancy as set of points, 2024

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.209896Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.714656Z digest=sha256:66ab68db1af37f2241f3eeb81499fc11edf2c58d5feddff066104e8f168c1564

Observation 285b43f2-7056-4570-82e4-21cf229a03ef · outbound

This paper cites Semantic scene com- pletion from a single depth image.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Semantic scene com- pletion from a single depth image

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.200718Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.717199Z digest=sha256:554895d8299e7c2e63f7a20d1a6b15953e31ab0e38e47029e7f9fe39b8603f02

Observation a2026a7c-542d-4af5-894e-24f12a92bf46 · outbound

This paper cites Tesla AI Day.https://www.youtube.com/ watch?v=ODSJsviD_SU, 2022.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Tesla AI Day.https://www.youtube.com/ watch?v=ODSJsviD_SU, 2022

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.191606Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.719750Z digest=sha256:62926865ff0d9a527c8ba57de167c11887392e33389881cf02a6e32eabb291ae

Observation 7fe32a69-1bc4-4c40-92bb-088ae0e1efb5 · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.Advances in Neural Information Processing Systems, 36:64318–64330, 2023.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.Advances in Neural Information Processing Systems, 36:64318–64330, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.182366Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.722538Z digest=sha256:fe54c01508dd6d412d12c5b66e8ec43aa3474c35faf991ced642996b74c52fb4

Observation 46de8fe4-d99c-4297-8a8d-04608fddd16b · outbound

This paper cites Scene as occupancy.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Scene as occupancy

Reference 48

Resolution
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no resolver link, observed 2026-08-07T10:27:09.725182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.725182Z digest=sha256:20ad7bbc7d091d95f749e29efba013b880ff1161460692cb1aecf3000315f598

Observation aefb7714-4dfa-42e8-aece-e5fce032081a · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.167004Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.727846Z digest=sha256:a7cc21d3fb31ae0dac2c1835c99db2c7f938761d1dfaff7af30f37d1cbab8445

Observation fdfefbaf-67e0-4233-9b5d-774a0cb37a57 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.157587Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.730391Z digest=sha256:69813a76289191b56e466a6d11db54c189d99ccc50be3b169efc7b26b0bc8997

Observation e5fbff04-fcfd-4e18-88eb-0d3d39cbef80 · outbound

This paper cites DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries.

S2GO: Streaming Sparse Gaussian Occupancy Prediction DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Reference 51

Resolution
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no resolver link, observed 2026-08-07T10:27:09.732948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.732948Z digest=sha256:c8efc05d98daca4b20eb0089eb111cbad89a04e5cd20806a6e4ad9b47542300f

Observation 1e5c0d5e-161c-47e7-b696-26522dde13f4 · outbound

This paper cites Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.148540Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.736389Z digest=sha256:fba735323a4088a4c838717db95325ebd64b4d6c3ab50a4a385ba8d4fb6a4b44

Observation d3e951b9-5bbd-4a5a-a300-1fe803b9bcb6 · outbound

This paper cites End-to-End Autonomy: A New Era of Self-Driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction End-to-End Autonomy: A New Era of Self-Driving

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.139021Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.739108Z digest=sha256:05fdad5783908465f3a093b224e1cfd5aa2f3f43fd28bfcf399f2695c17508d8

Observation 0dd8dbeb-97d3-40e4-8717-343ed3623ec6 · outbound

This paper cites Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.129743Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.741923Z digest=sha256:7f8e5aae70d34dc0b998b34ca277a4d59109264b13c7462dda5b32ee254fb798

Observation 3651c42e-65b3-449e-a862-ae00cf92bc7f · outbound

This paper cites Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.121269Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.744491Z digest=sha256:4fefade1509fc1f42239e818348ae8b635b4d5b8188a3475c99c54c8e5e94bba

Observation 08b62c34-1da2-40aa-a769-5ff31de27d9b · outbound

This paper cites GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving

Reference 56

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no resolver link, observed 2026-08-07T10:27:09.747320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.747320Z digest=sha256:7549c80d39c98ee4b448dda5891e02299916f10c994df5dbb55d7ba5ef42627e

Observation d1602a8f-40f8-48ba-8c7b-39df733310c4 · outbound

This paper cites Unipad: A universal pre-training paradigm for autonomous driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Unipad: A universal pre-training paradigm for autonomous driving

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.112129Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.750286Z digest=sha256:6fa7b350972c58d720fc846c6a4d739a2a1f767f21910b4c7e129c6f993f089b

Observation 3625d30c-0b04-404b-8da5-2d31482b1f1e · outbound

This paper cites Cvt-occ: Cost volume temporal fusion for 3d occupancy prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Cvt-occ: Cost volume temporal fusion for 3d occupancy prediction

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.103211Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.753206Z digest=sha256:1deb983806d48352731d44be396987498bad5eccf1f5cf74732b815306da5e66

Observation 6aa9e232-7c16-4486-8c95-2e3f0abd9d75 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Center- based 3d object detection and tracking

Reference 59

Resolution
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no resolver link, observed 2026-08-07T10:27:09.755971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.755971Z digest=sha256:b468496e180c0d0a34f7407e38b0f29cedc114aee28710ea8bf938557de133b8

Observation 55a0167a-cfea-4703-8222-b3bfe9d92dfa · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.089039Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.759656Z digest=sha256:474cabe324a44a0b9140500e6d0a2e71c36f5a1bee36f4f71f2dda0aa9ef06f6

Observation ffc31f88-51d8-4cba-80e8-42ff01331e6e · outbound

This paper cites Streammapnet: Streaming mapping network for vectorized online hd map construction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Streammapnet: Streaming mapping network for vectorized online hd map construction

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.079724Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.762494Z digest=sha256:29a7435a4e16c4287d61578219020dfd2fb762d7b40eed511b7408e314721760

Observation d20936a2-3e1b-4f1c-a614-7c73d9f384fe · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:09.765185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.765185Z digest=sha256:21244275e3fcd880557f76b317dfd9b42a1ae79730cb3842fffb86e45e5e3700

Observation 7ca0a8eb-d541-4685-b235-22bd8f8972b1 · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction

Reference 63

Resolution
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no resolver link, observed 2026-08-07T10:27:09.768007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.768007Z digest=sha256:124af0d85d82b53d4a882e21a2204d56b3bd53b055f7d4157129b8db8b00ee37

Observation 507b2178-8d67-4e22-b796-e3b284de607a · outbound

This paper cites Vision-based 3D occupancy prediction in autonomous driving: a review and outlook.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:27:09.870438Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.770716Z digest=sha256:43a7816f899446a69b56850e03d1ed71a47fa4a4ce693fae379562799ae60758

Observation 8d578570-d6eb-4550-9d9a-bf4e471f4b8c · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:09.773652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.773652Z digest=sha256:423d8e16eb3e9f55731c852b5fb67c3d860c39201422ae2129e14f51dccbba9f

Observation 1a5d0288-f2f0-445e-af30-3ac3e00acefb · outbound

This paper cites GaussianAD: Gaussian-Centric End-to-End Autonomous Driving.

S2GO: Streaming Sparse Gaussian Occupancy Prediction GaussianAD: Gaussian-Centric End-to-End Autonomous Driving

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:09.776419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.776419Z digest=sha256:fff2ae8af7522295d1e3b249153dfc7df04ac73a2f9ba6b6fad14a0913ced99b

Observation 1132323e-fe16-4588-9492-99ba2a9f1b6c · outbound

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:09.779311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.779311Z digest=sha256:531dcd445f84ea80a8660280908c3d93cf738742ba00033f008c321ab625d92e

Observation 263af1f5-4254-4c17-8502-2df24acfbbc6 · outbound

This paper cites GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction.

S2GO: Streaming Sparse Gaussian Occupancy Prediction GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction

Reference 68

Resolution
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no resolver link, observed 2026-08-07T10:27:09.782435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.782435Z digest=sha256:05be98069f92579626ad741d391e28823c53d3bfe6527eb965993969c27387e6

Observation fbb5822f-dd41-4455-aa85-50d6b1af5d0a · outbound

This paper cites The nuScenes dataset[1] provides 1000 scenes of surround- view driving scenes.

S2GO: Streaming Sparse Gaussian Occupancy Prediction The nuScenes dataset[1] provides 1000 scenes of surround- view driving scenes

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.053642Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:27:09.785417Z digest=sha256:f0073abc3d907dad1a3c03fe04be17226da7fb0024eb2a8c408568eaa4a9353e

Observation 6434e753-cee2-4f01-9748-9945b89a1cf2 · outbound

This paper cites S2GO- Small uses an ImageNet1k backbone, while S2GO-Base leverages nuImages pre-training.

S2GO: Streaming Sparse Gaussian Occupancy Prediction S2GO- Small uses an ImageNet1k backbone, while S2GO-Base leverages nuImages pre-training

Reference 70

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Observation a1f896ab-2a40-42d7-8b34-c1b99508d832 · outbound

This paper cites an unresolved cited work.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Unresolved cited work

Reference 71

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Observation e2ebea77-7d41-462b-bb33-c7c3f4ff1b1c · outbound

This paper cites We emphasize that unlike prior projection-based works, S2GO incursno additional costfrom a longer history.

S2GO: Streaming Sparse Gaussian Occupancy Prediction We emphasize that unlike prior projection-based works, S2GO incursno additional costfrom a longer history

Reference 72

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

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Observation a7854486-93b7-4f8c-b8d2-e4f90419f215 · outbound

This paper cites The backbone, temporal transformer, gaussian pre- diction, and propagation take 11.54ms, 22.79ms, 2.22ms, and 1.45ms, respectively.

S2GO: Streaming Sparse Gaussian Occupancy Prediction The backbone, temporal transformer, gaussian pre- diction, and propagation take 11.54ms, 22.79ms, 2.22ms, and 1.45ms, respectively

Reference 73

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Source-reported events for the cited work

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Observation 8fb8d43f-63b8-4ebf-a62a-f2343cdf4f0e · outbound

This paper cites We find that this largely maintains performance, indicating the general- ity of our pretraining pipeline.

S2GO: Streaming Sparse Gaussian Occupancy Prediction We find that this largely maintains performance, indicating the general- ity of our pretraining pipeline

Reference 74

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Observation a1303125-dc2d-488a-861f-f9e209b0d23f · outbound

This paper cites an unresolved cited work.

S2GO: Streaming Sparse Gaussian Occupancy Prediction Unresolved cited work

Reference 75

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Observation b99ab42b-5852-4ad4-b882-7f6091f24cca · outbound

This paper cites 6 we visualize example predictions and ground truth from the SSCBench-KITTI-360 dataset.

S2GO: Streaming Sparse Gaussian Occupancy Prediction 6 we visualize example predictions and ground truth from the SSCBench-KITTI-360 dataset

Reference 76

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