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Paper Citation Record · LEDGER

S2GO: Streaming Sparse Gaussian Occupancy Prediction

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.599090Z digest=sha256:11f919148e7dfe6ba29851b199210d3b3b01ee393d138601a5c7a08f94984d4f

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 2026-08-20T06:33:59.587034+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.

source=pdf_text observed=2026-08-07T10:27:09.605655Z digest=sha256:0faaa90b0f5ee9b4fa2175b080a1737577ef68b113c1e842c830ef63c7a2da1c

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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.

source=pdf_text observed=2026-08-07T10:27:09.614813Z digest=sha256:2f5f9e0c87e081aaffb2cdb4bcd5934755c1b33bfb82f8c1410f645f607bdc5b

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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=sha256:0d8ed0fc624f8eb10c94cc06e8350450f481d3f7cbc2b2c5376a452c70385aec

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 2026-08-20T06:33:59.587034+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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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.664421Z digest=sha256:2278a49c222441cbff31fff8aff927ed11d7817cbe812b9e555905e7594f9670

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.676194Z digest=sha256:63371eb8c8d73b832133a67a853975f1b6720b3d64726bce783368470b1020ce

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=sha256:983ee82f54ea8d13bfe17d75008bee721eb1bf5e096c7d3f4ac6c2ac3eeaf67e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.681969Z digest=sha256:85d1a5652bbd58300aa6868560905194e9d3f16c275c0aa141e39a15b8c054ae

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:a33ac051d78e620e7285eb605be5e23f39e342729d9cf93e891f0953652e5e94

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.687644Z digest=sha256:193c23cee9ef7d51c16b5ae71dbe58bd717ee144344939c420f3bd8700f405bf

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:f8fc9e79b7a5afcd31d4462ba970f07b1979c1549cec900cfa87aeaa913a8866

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.693921Z digest=sha256:1d9ba4e561569664e19b7546ee2ad80e66721777a87fbe6512bf164e683d5e9c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.697193Z digest=sha256:7310a7bb55908c430a02a28eb7d51d0f6054b502dc3f94dc780bb47666cd35c9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.699815Z digest=sha256:3dbaa33b835a4b2c56626bea8d7a3d7ead6c54c503945317088c0a50010c4bc5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.702462Z digest=sha256:14a5b665062124e98215a7fc55a84459a20986fd98905e740399f355937d71f7

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
unresolved
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=sha256:765e8c557fbc8b51616b92bf389f7a4754297f55059549dff626e6f7e896f3ca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.708524Z digest=sha256:2a4178e9ea74418e6e036e5d9ff909b7f0e0de01191f6a3ae22de5a3dd069148

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.711701Z digest=sha256:b5a279d5f7987b63eccb9d5f39e692fd5fa0cf0b225f093ad2ab0d1e87e39f31

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.714656Z digest=sha256:f6427782ada52d798a6dd7e4da2aaf4f39c8047a2b75bb1263d345e744900981

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.717199Z digest=sha256:afd5b36d7d7dc292bbbdaca15ecad6a3c33f696e0d946f1d402055b09f9148bd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.719750Z digest=sha256:ea9723b921f4308197e4eb51c75741cca0288ceaeebee06a5a20ccc5e0ad0ba0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.722538Z digest=sha256:2b1815c6b0bee2cdf8fabfac6db5c8101d1223ef7d78de9c797a6c5f577aeaf1

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:b90e1a25ae5343029af937cf48d1205b8e61d2a12938b80d6d09b52153ef6be0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.727846Z digest=sha256:5e2c62c1a120ca55c12efe1b5fff5187a17d3c1b4d9253729ce87a5471a4b45b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.730391Z digest=sha256:0a8e6bbbe36ccef8e0d2bf942d19f64dcf033eb2aec01ffbfa40594fcc76b224

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:fe1538c202ba7f25975cb196289d5a86a8fca8d977691814fe5e548cdc325f4b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.736389Z digest=sha256:807b3b7196fb153c8549a51252af2692530f17a4d952f3f4314870dfdb0b05d5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.739108Z digest=sha256:f3688fb06956a9486af942a54f6588bb88e69316459598eb8a9fc99f0c7ed303

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.741923Z digest=sha256:13b8fb55b1424f1128296cbf12baaff86690e4b3cf558f9278a9b42fbd97c9e3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.744491Z digest=sha256:28a1160b27648d87455dd3cb97be33fa1de74920941e2471f15f147a6ee71bf1

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=sha256:0796556a6e4250ba63c52e1f523f3064f0b21de74d75339beac033c251f7013e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.750286Z digest=sha256:8f7f777a2ef66514f8a47092cad8727e769ebe8cabe3bb130d3c3644d85f13a7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.753206Z digest=sha256:058dd3bf38b1665dd285d9b0cb25b98120ed64b02d930366456d1e11c8dc76c7

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=sha256:23c0b5a7a9ab8c7d5fd9aef71144960aad50c39214b8665a4c53aca94c556d6d

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.759656Z digest=sha256:8d35bc01ff56658c20fb848dc742a36523ffd602d733dca88962c79743b1694f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.762494Z digest=sha256:bc7cad6bd597c6909fabd79aab61b076682842437334f44697e3e05b01faa9cc

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=sha256:2af796d96fef2eca6ebfd381170ffa3d97fa6baaf4d81b6465d3a89c9ba6a5aa

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=sha256:048c7183937047192596f5e522ae8772709f6dc3ee066c7725cbbe4c0e9e66b8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.770716Z digest=sha256:95a83c88c60c80d04567f2e196eec8a4aae7af52fa4d3e8b4fbef151cab41644

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=sha256:6d27676ad859c43e761f354b39b48fafcc1177b9afeb03103ce02f76579f9512

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:b270d7a053e703ac766b4ce3be76b4a82eb073a553d7e6fbc69118dde1e823ee

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=sha256:50ce701e3a91467a720354f7cf0c3fca521de62e77f3fa6a506369880832cfbe

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:e95596ccd2cfa68ee8971d1afa49adaa0aed4db16e71ec21fd0a2a6caf65aae3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.785417Z digest=sha256:08e425e824e05828b577750387af6455b89a337dd148de71175813d7b20db204

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.044757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.788487Z digest=sha256:882949493044bdcd9369c16e59c6a6846dd0609632cf6bc03bf990384813b48f

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:27:10.035806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.791320Z digest=sha256:9363b1b275e17a59cf8a6ece2131ac56b989cd43bca3b308a4c782c620d1a1b1

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:27:10.026266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.794121Z digest=sha256:a18ecd45aa6a57b8744d384587429ad70dd730d97fa0e25a5e3ecfb2ab6aac11

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.016874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.796958Z digest=sha256:4e583d1ae5be998fc25ca71915744ee1b06334d7c9deb40a7ebc6e172478f94f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:10.007049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.799683Z digest=sha256:2cad766c60e9e6db6e59b59bcf491af6befa8632f40da7f2c8774b92bb73ec9f

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:27:09.996853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.802483Z digest=sha256:e3088b8bcc6e05744547436b9d4283d9c4f885529049dec9382be5f0307a2e71

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:27:09.987262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:27:09.805799Z digest=sha256:0c838674b0dc9aa47ea50a58086fab071994b51b9e4565b5c281f1c925bccf36

Pith citing papers

No inbound Pith citation observations are available.