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Paper Citation Record · LEDGER

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 6 inbound Pith citation observations for arXiv:2506.10977.

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

pith.paper-citation-record.v1
2506.10977 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:26.144004Z

measured 53 of 53 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:27:19.804755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.644617Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c68c22ae-2e54-4851-823a-00b15c852e10 · outbound

This paper cites Superquadrics and angle-preserving transformations.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Superquadrics and angle-preserving transformations

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 c91cd53f-b57b-4bc4-a3eb-751f262182b5 · outbound

This paper cites The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 2

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Observation 691525d3-cbeb-41f0-a880-28d222758788 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction nuscenes: A multimodal dataset for autonomous driving

Reference 3

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Observation f93680a3-08a0-4a53-a580-64be77af31b6 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Monoscene: Monocular 3d semantic scene completion

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 f6c5abb2-ba33-450b-a186-1213ca110354 · outbound

This paper cites Scenerf: Self-supervised monocular 3d scene recon- struction with radiance fields.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Scenerf: Self-supervised monocular 3d scene recon- struction with radiance fields

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.

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Observation 414ef8e4-6b5d-499b-b601-67019efca8c1 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic 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

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

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Observation 0b4db3d9-61d2-457e-92f8-3edb2babbc76 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Multi-view 3d object detection network for autonomous driving

Reference 7

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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 2903e17a-37a7-45e0-84b4-cf0dca083bdb · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction 3d semantic scene completion from a single depth image using adversarial training

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 3e5037e3-7b01-443b-bcb0-1aed9349d8a6 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network

Reference 9

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

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Observation 91f07ffa-dba1-4ce7-971c-1e88848742fb · outbound

This paper cites Su- perdec: 3d scene decomposition with superquadric primitives.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Su- perdec: 3d scene decomposition with superquadric primitives

Reference 10

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Observation 25bb8825-a0b9-485c-9311-75f404602499 · outbound

This paper cites Planning-oriented autonomous driving.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Planning-oriented autonomous driving

Reference 11

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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 65416928-b9a1-42d4-a775-ceb9ac6f83e8 · outbound

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

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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source=pdf_text observed=2026-08-07T04:19:20.393248Z digest=sha256:208dfd331b73fd27579e9c11a91a192f2c31fb560a5f492b2aa2b77a17f12f8f

Observation ec9d3869-a8ed-4a39-bf34-352842f80998 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Selfocc: Self- supervised vision-based 3d 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 21b1237c-eecb-4ffc-bbcc-e7bba9ec5986 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Tri-perspective view for vision-based 3d semantic 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 2026-08-20T06:33:59.587034+00:00.

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Observation ebc7a1c0-3f48-47f7-ba46-ce8ef2e4dfd1 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 15

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Observation a9816e57-6a36-4bd8-921e-fe2bcc52f07c · outbound

This paper cites Segmentation and recovery of superquadrics, volume 20.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Segmentation and recovery of superquadrics, volume 20

Reference 16

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

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Observation 2b865f7a-e352-4283-b8e3-f88caa2e8de7 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Pointpillars: Fast encoders for object detection from point clouds

Reference 17

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Observation 066a97c3-34a1-4e0d-aa96-72877cb46c94 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Anisotropic convolutional networks for 3d semantic scene completion

Reference 18

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

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Observation 1d0b6f46-7f8e-4e6b-9dca-f5b14eeb8aa0 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction V oxformer: Sparse voxel transformer for camera-based 3d semantic scene completion

Reference 19

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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 a6243e7b-1508-46ed-a353-69247ab93109 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 20

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

source=pdf_text observed=2026-08-07T04:19:21.846926Z digest=sha256:2542523cbc24e7ae4291b197fbe08736ea47b1bf587cf2829db196f0fde39097

Observation 8c339ad9-5d1d-4174-b8ba-0f6f1040e0c5 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 21

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Observation 0148bdb8-7cf3-4547-85e1-40a41e486b29 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

Reference 22

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source=pdf_text observed=2026-08-07T04:19:22.207125Z digest=sha256:4ee616e30064cca2766e38657d9f1ac13cc0ea4de42debdd04f28a409f2269b3

Observation 9fed3d42-116c-4e96-9ce9-58c2e180525a · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Reference 23

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source=pdf_text observed=2026-08-07T04:19:22.345170Z digest=sha256:d83f00ff92c8c4b60f740e57a5a156d6490571fc0b2b0b4e8033b41f25c67998

Observation 8dfc805f-29ea-49ea-9498-9fbc2d8efa62 · outbound

This paper cites Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction

Reference 24

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

source=pdf_text observed=2026-08-07T04:19:22.550551Z digest=sha256:156d230ebe222b5ace1c7e942d6f9ba3d07d3f1f745698af2da3abece1a853b3

Observation c9dd50de-fec2-417c-b7f3-71e543b7829f · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 25

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raw_fallback, observed 2026-08-07T04:19:29.862122Z

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=2026-08-07T04:19:22.699175Z digest=sha256:3e456e215ac28f818cd6412af9f2e05643b22d70252dce361b9e96b1174462c1

Observation 6199a900-0c44-4f88-ae24-bfac1fc68fa7 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Atlas: End-to-end 3d scene reconstruction from posed images

Reference 26

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raw_fallback, observed 2026-08-07T04:19:29.537399Z

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=2026-08-07T04:19:22.848722Z digest=sha256:c72d1d7195a7a1de4d5e455ede425351c201e16742e540d07d1706cd541caeec

Observation 97000880-f56b-4530-b4d8-a65602e3892e · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Lmscnet: Lightweight multiscale 3d semantic completion

Reference 27

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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=2026-08-07T04:19:23.050140Z digest=sha256:2ef0bb5d845b9e71fcf7ff037a433f6559868add9c0fd5f768bcb753c592a23d

Observation 49c8b1cf-0850-479f-a909-674b81c1046e · outbound

This paper cites Occupancy as Set of Points.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Occupancy as Set of Points

Reference 28

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local_arxiv, observed 2026-08-07T04:19:26.918983Z

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=2026-08-07T04:19:23.207447Z digest=sha256:03300e5917a865835245dc0178b95a56c77b012dcba8f447303b1500c7ef8e8e

Observation b4151c17-5748-4bfb-ab28-0ca7f3403d0d · outbound

This paper cites Searching efficient 3d architectures with sparse point-voxel convolution.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Searching efficient 3d architectures with sparse point-voxel convolution

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.

source=pdf_text observed=2026-08-07T04:19:23.407007Z digest=sha256:64fd9f243ebb841237bb3173b48eeee7b74b20dead4b8da8cd7311c308589da8

Observation fe648dbe-ee4f-4089-9d44-69fa8590bbed · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Sparseocc: Rethinking sparse latent representation for vision-based semantic occupancy prediction

Reference 30

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raw_fallback, observed 2026-08-07T04:19:28.987123Z

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=2026-08-07T04:19:23.557136Z digest=sha256:9193dbe869fbfe7472977a5b47d308ce22f8a18c4ac220bc30c3dc63de3581a7

Observation 1e526ba4-24eb-424b-b211-a5716cf4fefd · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:23.717245Z digest=sha256:253ed137975168e68c0cbc1c0e57afd7e30fde6032e6358cc31435b16583aa28

Observation 0547ddb8-2eed-4fae-a6ca-702305693d2c · outbound

This paper cites Scene as occupancy.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Scene as occupancy

Reference 32

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raw_fallback, observed 2026-08-07T04:19:28.648525Z

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=2026-08-07T04:19:23.894716Z digest=sha256:c67fcee887e96325c28d988afd2f035da40262a52bf9e720ba56240359007882

Observation 2d558ecc-233c-48c8-b814-053ec9304f9c · outbound

This paper cites OPUS: Occupancy Prediction Using a Sparse Set.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction OPUS: Occupancy Prediction Using a Sparse Set

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:24.022432Z digest=sha256:c7d6c08626b590ca6a1a5dbf805aaff9a53bd39d000084d2cfb1f3d3719b6931

Observation 5c6d89bf-dcdd-49cd-9bc9-3971b050d6b8 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 34

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source=pdf_text observed=2026-08-07T04:19:24.162962Z digest=sha256:b767238271d0d6e6efc77b8f956ffdb9cd348cb2a994ac565aa608464bf6f700

Observation dc130a72-24e9-48ff-ab9b-dfbf71ab623e · outbound

This paper cites OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

Reference 35

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no resolver link, observed 2026-08-07T04:19:24.352749Z

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source=pdf_text observed=2026-08-07T04:19:24.352749Z digest=sha256:11bbf201276f3b751e1d7eb6f30a3be3fab3b5e40e7f32db60a1451282ebf196

Observation 47bae8f7-25f3-4c28-aec8-04ec64cd75d4 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T04:19:28.343501Z

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=2026-08-07T04:19:24.496004Z digest=sha256:6d836ca3c4f2a69a943306eb276ba0ec79ffeab22a62f4abaae8c8a872a37605

Observation ee0cf0f3-4960-4c96-824c-b1024980b5ec · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 37

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raw_fallback, observed 2026-08-07T04:19:28.006621Z

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=2026-08-07T04:19:24.631370Z digest=sha256:be30fefb26bc80c3ce5b163534dc4c2b7292f04e01fd16c3137d6d335acaee2d

Observation c5bb20dd-ea73-41fa-96fc-47fab51b52bb · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction RenderWorld: World Model with Self-Supervised 3D Label

Reference 38

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no resolver link, observed 2026-08-07T04:19:24.771073Z

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source=pdf_text observed=2026-08-07T04:19:24.771073Z digest=sha256:b391e576864cf7a36c262505b11b96f1f7ac15649bb9ab4c91682c747ebf7712

Observation a9e44211-0a64-4198-8bbf-b32f6e8c5142 · outbound

This paper cites LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception

Reference 39

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verified exact
local_arxiv, observed 2026-08-07T04:19:26.563183Z

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=2026-08-07T04:19:24.862192Z digest=sha256:c6b496657bae1ae7dc898e4ec2351eab5eb0ea7a62ee761699047598522fda3b

Observation 3830a21f-18f7-4f20-afdd-6d8931d348c2 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction DRINet++: Efficient Voxel-as-point Point Cloud Segmentation

Reference 40

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no resolver link, observed 2026-08-07T04:19:25.028613Z

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source=pdf_text observed=2026-08-07T04:19:25.028613Z digest=sha256:dcb34f26a11c6c7459615f216458669a73b51ce190256748fbb8d5a35284ec84

Observation e51cfe87-365b-46ad-9dab-54586fa1fb56 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Reference 41

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no resolver link, observed 2026-08-07T04:19:25.157149Z

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source=pdf_text observed=2026-08-07T04:19:25.157149Z digest=sha256:07a37185bd266c91847a3d2774a942e49f7c0637a400bb546946b6ba1b1ab691

Observation 35e3a3ae-163a-49f9-92d5-f7c95385d238 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Occformer: Dual-path transformer for vision- based 3d semantic occupancy prediction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:27.762534Z

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=2026-08-07T04:19:25.313969Z digest=sha256:d2b3c4f0ab1984e39da52ebd536570d90769133f885a66eaef6addf1aefa7420

Observation 6f2424c8-493e-4b71-b4b2-026d3c58dccd · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:27.581445Z

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=2026-08-07T04:19:25.478615Z digest=sha256:ad918fc236aeadce36938e66900a2d449880458ec9938ac427668c7dcc830592

Observation c1042446-483e-49a3-b212-a9a839bfb537 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction GaussianAD: Gaussian-Centric End-to-End Autonomous Driving

Reference 44

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no resolver link, observed 2026-08-07T04:19:25.661253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:25.661253Z digest=sha256:d8a4d7f01d5c8c0d9569caf9ce46da6d96b1959e2fe6aec93cba7c36dbb32be4

Observation 7e5f9dd5-0aee-4dac-b92f-c48288c3e5e1 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:27.360365Z

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=2026-08-07T04:19:25.830868Z digest=sha256:9f1ce592e017ed351659b4dcc7641b1aa04d181b5d2d99f79d1e4bcbf0e375e3

Observation 4a78af71-a75f-4f3b-85fc-04c4da779d65 · outbound

This paper cites PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction

Reference 46

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source=pdf_text observed=2026-08-07T04:19:25.958289Z digest=sha256:bd7443d128fbb51efc40949ea06c81ec3f4d77411b0eef3e73e8684bd429239c

Observation 3a005588-9105-4d7d-a211-1388d18e29f3 · outbound

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

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction

Reference 47

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no resolver link, observed 2026-08-07T04:19:26.144004Z

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source=pdf_text observed=2026-08-07T04:19:26.144004Z digest=sha256:6473c5dcb50d3b0285f5e43bcfc8f1dce7a521697ef56996968c7b56043650cc

Pith citing papers

Observation cd7a9d4e-ea2a-496b-847a-ffa77797d8a3 · inbound

DVGT: Driving Visual Geometry Transformer cites this paper.

DVGT: Driving Visual Geometry Transformer QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 67

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no resolver link, observed 2026-08-03T15:27:19.804755Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:27:19.804755Z digest=sha256:2dc0ab03e97b8fc2f078693616f5a94f1a8910129ab01021b173940bbe5048a1

Observation b24b392e-84a6-496e-be26-5d3df3a46d88 · inbound

TFusionOcc: T-Primitive Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction cites this paper.

TFusionOcc: T-Primitive Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:32:31.369656Z

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=2026-05-16T07:30:51.836711Z digest=sha256:de966d8d8fe2f4b156d269e7b4cbb3f34302db9ba0773937086fc1ef3b2d70a7

Observation ae41fe5d-a859-429b-a045-0885e73fe282 · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 94

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verified exact
arxiv_id, observed 2026-05-13T23:03:25.113728Z

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=2026-05-13T22:59:57.744015Z digest=sha256:1eb24738c2e6f6a4a657a237e55f46c4b307e54d30983acfadc474c719206584

Observation 0a5734cc-aa7e-47df-8cd0-3ec6c4e3a762 · inbound

Rethinking 3D Shape Generation: Diffusion over Superquadrics cites this paper.

Rethinking 3D Shape Generation: Diffusion over Superquadrics QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 48

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metadata mismatch
arxiv_id, observed 2026-07-03T00:17:29.255718Z

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=arxiv_source observed=2026-06-27T17:20:03.335953Z digest=sha256:d5d08c0d8c0b269e86c40fb2e782ab17db5af61e7e2294d858835fecc34dcb76

Observation 877a70f1-5005-42ad-b67c-cc3160584c4d · 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 QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 41

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verified exact
arxiv_id, observed 2026-07-03T14:08:22.645990Z

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=2026-06-27T07:08:41.071757Z digest=sha256:351ee3d629c91fb0ecfe9161404aacaa4fac0f24d1a5bd5405cda2bb81d46ff2

Observation 41bbc90e-f915-4d2c-bdd5-e23317202c88 · 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 QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction

Reference 41

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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:f46f12bc5b252954b04d650f001ad906ba7122a79bb2633bd1529ed15e5b4e59