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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 14 inbound Pith citation observations for arXiv:2412.04384.

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

pith.paper-citation-record.v1
2412.04384 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:28:45.534224Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:55:42.271387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.618733Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef961526-726f-4323-afbe-8eef9b3acf1f · outbound

This paper cites On a measure of divergence between two statistical populations defined by their probability distribution.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction On a measure of divergence between two statistical populations defined by their probability distribution

Reference 1

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Observation c2363d75-701c-41ff-889c-5546da6b0bc0 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driv- ing.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction nuscenes: A multimodal dataset for autonomous driv- ing

Reference 2

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Observation d2542d93-fb45-4d71-be5d-55218c6aba2b · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Monoscene: Monocular 3d semantic scene completion

Reference 3

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Observation c74b490a-0577-4905-acd1-7795e539d4cc · outbound

This paper cites Scenerf: Self- supervised monocular 3d scene reconstruction with ra- diance fields.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Scenerf: Self- supervised monocular 3d scene reconstruction with ra- diance fields

Reference 4

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Source-reported events for the cited work

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Observation b0f7614a-2f6a-4ee8-a90d-4a8ff6774005 · outbound

This paper cites Multi-view 3d object detection network for au- tonomous driving.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Multi-view 3d object detection network for au- tonomous driving

Reference 5

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Source-reported events for the cited work

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Observation 5a733bd3-31aa-48b0-bc4a-03de1bdefabb · outbound

This paper cites 3d sketch-aware semantic scene completion via semi-supervised structure prior.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction 3d sketch-aware semantic scene completion via semi-supervised structure prior

Reference 6

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Source-reported events for the cited work

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Observation 870b53ee-25e7-4584-9967-78e5a014413c · outbound

This paper cites 3d semantic scene completion from a single depth im- age using adversarial training.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction 3d semantic scene completion from a single depth im- age using adversarial training

Reference 7

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Source-reported events for the cited work

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Observation 86cc19b3-89f5-430d-858f-e94b43c3a0ed · outbound

This paper cites 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network

Reference 8

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Observation ac2ede8a-2a1e-4fac-b862-65b7c9eb439a · outbound

This paper cites Imagenet: A large-scale hierarchi- cal image database.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Imagenet: A large-scale hierarchi- cal image database

Reference 9

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Observation b3903026-6542-427f-b04d-65198d46e098 · outbound

This paper cites Deep residual learning for image recognition.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Deep residual learning for image recognition

Reference 10

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Source-reported events for the cited work

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Observation 44d8d52e-48f9-4244-b9e5-a37e0e42887c · outbound

This paper cites Planning-oriented Autonomous Driving.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Planning-oriented Autonomous Driving

Reference 11

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Source-reported events for the cited work

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Observation 1c3349ef-cced-425c-8ed8-34b7416b3f48 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 12

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Observation 03a6625a-d575-441c-b3b2-88dd7def067e · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D 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

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Observation 634246da-fff0-4080-891d-f3ae8b279d7d · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Selfocc: Self-supervised vision- based 3d occupancy prediction

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d3afa1cf-92e1-4fba-bde0-d85dbd4eb80f · outbound

This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 15

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Observation 35340d98-7cf8-41db-affa-83bd900c982d · outbound

This paper cites VAD: Vectorized Scene Representation for Efficient Autonomous Driving.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 16

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Observation a6627f94-03ff-4a8d-aee1-4ea58d6852b0 · outbound

This paper cites Symphonize 3D Semantic Scene Completion with Contextual Instance Queries.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Symphonize 3D Semantic Scene Completion with Contextual Instance Queries

Reference 17

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Observation 6c3718a1-2d11-4360-bf1d-a283ff2a14f7 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Pointpillars: Fast encoders for object detection from point clouds

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b6292420-dcec-4734-9b1c-f3eba8d7e7e8 · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Anisotropic convolutional networks for 3d semantic scene completion

Reference 19

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Source-reported events for the cited work

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Observation 1549b8d9-9891-433d-9acb-a99f50286874 · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 20

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Observation d499887b-c2e1-437b-b438-a7f56ebe4dd1 · outbound

This paper cites SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Reference 21

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Observation 4d1f9c80-5544-4fbd-bac8-16e67732fb37 · outbound

This paper cites V oxformer: Sparse voxel trans- former for camera-based 3d semantic scene comple- tion.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction V oxformer: Sparse voxel trans- former for camera-based 3d semantic scene comple- tion

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f2a6e209-a93f-4dab-a426-1f8ebdde5bf9 · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 23

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Observation c2796e34-fb64-464a-92fa-1e3c984ffb49 · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 24

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Observation 690815e9-1f95-48a8-b98c-bdf7425d002c · outbound

This paper cites Bevfusion: A simple and ro- bust lidar-camera fusion framework.NIPS, 35:10421– 10434, 2022.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Bevfusion: A simple and ro- bust lidar-camera fusion framework.NIPS, 35:10421– 10434, 2022

Reference 25

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Observation 4472e6bd-c912-402c-985f-dda55eb41ce5 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene un- derstanding in 2d and 3d.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction KITTI-360: A novel dataset and benchmarks for urban scene un- derstanding in 2d and 3d

Reference 26

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Source-reported events for the cited work

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Observation b98a6b0c-c700-46d4-b0af-ae005968f2d4 · outbound

This paper cites AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

Reference 27

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Observation 2ac2f3fe-58f0-4a97-8ec1-b96c1655ed8f · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Bev- fusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f4f4823-4453-48ef-af87-ef50bdeaeff4 · outbound

This paper cites Decoupled Weight Decay Regularization.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Decoupled Weight Decay Regularization

Reference 29

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Observation b349b3ff-b832-445c-a169-a390b11b046d · outbound

This paper cites OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Reference 30

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Unavailable: canonical work link unavailable.

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Observation 99ffbdf5-f455-4e2c-8598-3909777f34f2 · outbound

This paper cites OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

Reference 31

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Observation 7f84a1e0-89e1-4367-8104-b303060676cc · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Atlas: End-to-end 3d scene reconstruc- tion from posed images

Reference 32

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Source-reported events for the cited work

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Observation d125d127-c6a5-46ac-a685-91947c8e6947 · outbound

This paper cites Lift, splat, shoot: En- coding images from arbitrary camera rigs by implic- itly unprojecting to 3d.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Lift, splat, shoot: En- coding images from arbitrary camera rigs by implic- itly unprojecting to 3d

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.275412Z digest=sha256:2863b6079b44f81245342ea80ff680deaf956d7ce8ec4b70180abaa1f1668c09

Observation 53bfcfb2-f024-487d-a704-bce80465ee1a · outbound

This paper cites Lmscnet: Lightweight multiscale 3d seman- tic completion.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Lmscnet: Lightweight multiscale 3d seman- tic completion

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.280498Z digest=sha256:31ee71b68d98df9141d2a8642d605956ab0f5d687e131562c619cfb6f12166d1

Observation fddd8fb9-a20d-42ce-a6af-e6e7f712942c · outbound

This paper cites Occupancy as set of points.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Occupancy as set of points

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.284598Z digest=sha256:ed8f3447b120f43effcbd0d4e3e99fe53604e48c17fd1e4e9e476e4bcc116c8d

Observation 4205f48b-7cd0-4581-b124-542619b96f64 · outbound

This paper cites Seman- tic scene completion from a single depth image.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Seman- tic scene completion from a single depth image

Reference 36

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raw_fallback, observed 2026-08-11T21:28:46.189936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.289184Z digest=sha256:13f46060ea4642dff5d186f181e134563c15f9c7c28f53b01c264e7c16008924

Observation 4691ef5d-0bc0-4531-8489-decd5946f913 · outbound

This paper cites Searching effi- cient 3d architectures with sparse point-voxel convo- lution.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Searching effi- cient 3d architectures with sparse point-voxel convo- lution

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.293583Z digest=sha256:a7999713dd2de33038d83a38603c1590a9b18554a29ef05cd2f4b7dd3a2b6762

Observation 77d2fc40-c5ee-4ce4-b2ee-059aeabd9ae2 · outbound

This paper cites Sparseocc: Rethinking sparse latent representation 12 for vision-based semantic occupancy prediction.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Sparseocc: Rethinking sparse latent representation 12 for vision-based semantic occupancy prediction

Reference 38

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raw_fallback, observed 2026-08-11T21:28:46.161643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.298209Z digest=sha256:0e0ff499906fd6f731da8262861247be27db37d7c94cf4d67306cfdbb92d84a1

Observation fdc65fe7-828b-49fe-a29a-f7b9339cd7e1 · outbound

This paper cites Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.303158Z digest=sha256:f6b3507857b322b68978bb1f05b5706499c24ea0c3dc6f15f30834fac12e6f4a

Observation bbbf79ee-b08c-40f5-b8e6-909121525913 · outbound

This paper cites Scene as occupancy.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Scene as occupancy

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.333912Z digest=sha256:d980e08cdc04163018d61327412d22a519f464712dd3444e34012babb8327b65

Observation 967e4738-f2bd-4ae2-b32b-fa0595095384 · outbound

This paper cites Opus: occupancy prediction using a sparse set.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Opus: occupancy prediction using a sparse set

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-11T21:28:46.137267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.370172Z digest=sha256:a40c89df73f008fd2c4d6ea8d95a198ec2fa140b77b46019328cdeb5cb13d70a

Observation 61dd85c7-abf7-49a7-b95d-6e21b116a77e · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 42

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no resolver link, observed 2026-08-11T21:28:45.430497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.430497Z digest=sha256:70919f96a965ff13e3fbf1f2aedd3947cee750f8c3d7f90cb42296531183e28c

Observation ecf58411-6921-479b-8648-5e8ffb910fc8 · outbound

This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Fcos3d: Fully convolutional one-stage monocular 3d object detection

Reference 43

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raw_fallback, observed 2026-08-11T21:28:46.122107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.483185Z digest=sha256:43ded3be6d50412f1c0114a44baed106e7dda1b54498273c2efa6a475e6af053

Observation 08927760-f5e0-4646-aeb3-0e03489f7e6c · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-11T21:28:46.107487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.488524Z digest=sha256:398987b14ece56cf40fe9a26c23f8dfb01fd77d7c4c8df84ed97351d35518431

Observation c9b1c5cd-263b-4d61-aaa4-b2cca15996a3 · outbound

This paper cites Behind the scenes: Density fields for single view reconstruction.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Behind the scenes: Density fields for single view reconstruction

Reference 45

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raw_fallback, observed 2026-08-11T21:28:46.094000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.494408Z digest=sha256:5ceae44e01c0dfcffe1b05864cb18683e146b083b372ec69103df2045660a2c2

Observation 847c5b05-a676-410a-94be-6a251ab7ec29 · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 46

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no resolver link, observed 2026-08-11T21:28:45.498086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.498086Z digest=sha256:c60c754cc18236bf0f46006c52ab834805551c41a5a645c1422b19130ae39180

Observation e9004182-f1f7-4507-9edb-c6f93ae8efbc · outbound

This paper cites RenderWorld: World Model with Self-Supervised 3D Label.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction RenderWorld: World Model with Self-Supervised 3D Label

Reference 47

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no resolver link, observed 2026-08-11T21:28:45.502148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.502148Z digest=sha256:ea1f19702a1dadd78c1361a86ca8ba7266a77a45227a47d0bcbaaf9fa43f1532

Observation 7190c7f6-2592-406d-ba7f-66bfebd91983 · outbound

This paper cites Li- darmultinet: Towards a unified multi-task network for lidar perception.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Li- darmultinet: Towards a unified multi-task network for lidar perception

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-11T21:28:45.993495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.506988Z digest=sha256:81f7e8a54747f5d682c09810aed04b80a16c85c00af695a7f6eee1a35612da86

Observation 2592228a-d8e2-4ac8-a298-290059354c2a · outbound

This paper cites DRINet++: Efficient Voxel-as-point Point Cloud Segmentation.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction DRINet++: Efficient Voxel-as-point Point Cloud Segmentation

Reference 49

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no resolver link, observed 2026-08-11T21:28:45.511715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.511715Z digest=sha256:2a82c1a3c7fdf6093c109fbf70dbad6c120ea1707126e8e282eea3cf9847a7c8

Observation 6bea8610-b25b-4bb1-b489-374a7febcb14 · outbound

This paper cites FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Reference 50

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no resolver link, observed 2026-08-11T21:28:45.516917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.516917Z digest=sha256:f404bfb3f368d6ac3af33817a5a3baf521f9bcb5647d55777156274e5e73b77e

Observation 076a82b1-66c5-4f3c-8faf-aba8a1c20aee · outbound

This paper cites OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Reference 51

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no resolver link, observed 2026-08-11T21:28:45.522476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.522476Z digest=sha256:97aded015b6996671f861d1799531002eefd9968b7a4e9311a98028e416ac64a

Observation a5117965-0649-4ceb-9840-4a38d2f1b320 · outbound

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

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 52

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no resolver link, observed 2026-08-11T21:28:45.528430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.528430Z digest=sha256:aff68414b50507cbb3ec53520c27ef2be16da3fbcb2231c99f9467801e620d70

Observation af8d2093-c702-49ca-9dd1-cbd45ba45640 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:45.861737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:28:45.534224Z digest=sha256:f7e714954df57c4f584de04590ca54c7cafb6090fc9b7e4783d0c36aea59d90c

Pith citing papers

Observation a25f9f88-100f-4de6-b391-46864dff973c · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 31

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no resolver link, observed 2026-08-11T16:55:42.271387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:55:42.271387Z digest=sha256:a49076996237d46acea5e1f198fbc9f004c1b1bd859f920e412f8b66eb076524

Observation f9e3f926-dd8c-48f7-b606-950caaf7e1df · inbound

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

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 22

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no resolver link, observed 2026-08-11T16:00:35.994043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:35.994043Z digest=sha256:8575135363dbbc4c74018ec4b524a64a61c1167700fa374d0db3edd11bf72c1b

Observation 5ed35f0a-e9bd-402b-907f-7ccc97bbe2c9 · inbound

MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies cites this paper.

MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 35

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no resolver link, observed 2026-08-10T14:26:17.499512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:17.499512Z digest=sha256:13e2996b987d7f69f03ad1820c8dcdc302934c5d4175fa3f006170310c751ebc

Observation aac0a6e5-27bc-42cd-b517-239317a8aadb · inbound

SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels cites this paper.

SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 19

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no resolver link, observed 2026-08-07T13:11:42.588256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:11:42.588256Z digest=sha256:b14c477550f8fff7348d20e008d4cfe82dc4b6650305ddf871b6d094811fbdad

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

S2GO: Streaming Sparse Gaussian Occupancy Prediction cites this paper.

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

Reference 15

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no resolver link, observed 2026-08-07T10:27:09.629639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.629639Z digest=sha256:c5656c8ffa179ca29e0b9420df0a1dfc4c8aeff08fbc524b999924fab1192e9d

Observation 65416928-b9a1-42d4-a775-ceb9ac6f83e8 · inbound

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction cites this paper.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 12

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no resolver link, observed 2026-08-07T04:19:20.393248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:20.393248Z digest=sha256:6488f9f3fc5838f22e904c5b79a9e85339bc029669bbd8b8f453173b2e7d4205

Observation 42be4cee-d5ec-4fb3-bf49-568b6cfb2c4c · inbound

GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians cites this paper.

GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 13

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no resolver link, observed 2026-08-06T14:36:05.471169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:05.471169Z digest=sha256:ec0e9c26783edbe17356c0333f4755148a5f1d87026ea76c86b1adab49cd7966

Observation b8284410-43eb-41ce-a38c-cee869dbe717 · inbound

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes cites this paper.

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T11:54:09.190507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T11:50:37.423645Z digest=sha256:a89ae7207d0d25c3850316c9567bae69f0616a786c7d3f5a3296138a5901faef

Observation 04ecca54-b1dd-4c1f-bb08-22e9ac25caef · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.620277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T07:08:41.071757Z digest=sha256:dd930b85dbb2bf9a5c1d3357564adfb1b053c70122ab435d36801df3141f662d

Observation a6ddb69f-17dc-447b-b2e8-8047d76b8f55 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 40

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no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:49:28.959330Z digest=sha256:3df7fb7513a106a37938ea04f54ab92837202e2903324a58b8ed8c6b2cfafca0

Observation a39b90ab-4f01-4988-9118-3be089b3bbf3 · inbound

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction cites this paper.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 31

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no resolver link, observed 2026-07-11T14:25:21.264423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:2806c49679e225826b3064f6471527ce3a1fe11ca10d9a9d619c1b7def2f755b

Observation b735f0d1-97ba-45f5-9226-6bce2e148ac3 · inbound

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity cites this paper.

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 23

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no resolver link, observed 2026-08-01T17:26:11.784775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:26:11.784775Z digest=sha256:79558281fca90e4449966d011bc1a61b8af89f73b52e25f13f3badcbcf553d6e

Observation 16698586-3505-4411-a6d6-5b2672bd4ea5 · inbound

GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction cites this paper.

GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 8

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no resolver link, observed 2026-08-01T10:56:44.971867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:56:44.971867Z digest=sha256:73e6daa965bc3b838fb6fbeb9a1060f9b96d1ebcf28cf64c5b915578940c86a6

Observation b5cbd607-8b1d-4ed3-bd04-ed0677833e68 · inbound

FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows cites this paper.

FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 21

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no resolver link, observed 2026-08-01T11:43:11.608179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:43:11.608179Z digest=sha256:7341676104a9645f82dd206c5636ed1937c911a5766e4cee62a759c449915741