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Paper Citation Record · LEDGER

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2602.23172.

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

pith.paper-citation-record.v1
2602.23172 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:31:09.501967Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:35:24.683744Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T09:35:39.848304Z

Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 111bae20-490d-431d-b2e1-c2b8471a355c · outbound

This paper cites TrackOcc: Camera-based 4d panoptic occupancy tracking,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking TrackOcc: Camera-based 4d panoptic occupancy tracking,

Reference 1

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source=pdf_text observed=2026-08-02T20:31:06.277832Z digest=sha256:40d7ab9b5ccb059cf236bae1eb78e33c5db834d30fd816a492b347a014d7f52d

Observation 52623c0b-b55c-43fb-9503-1fd45e206ca3 · outbound

This paper cites Amodal optical flow,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Amodal optical flow,

Reference 2

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Observation 6577e0cb-2574-46fb-b28f-517ab285fe4d · outbound

This paper cites 3d multi-object tracking using graph neural networks with cross-edge modality attention,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking 3d multi-object tracking using graph neural networks with cross-edge modality attention,

Reference 3

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Observation 08e8cb28-ecaa-45ac-9063-f2b9f7f45582 · outbound

This paper cites Self-supervised multi-object tracking for autonomous driving from consistency across timescales,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Self-supervised multi-object tracking for autonomous driving from consistency across timescales,

Reference 4

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Observation 988b5acb-0e45-4e9b-99fa-7bf32544e70f · outbound

This paper cites Bridging perspectives: Foundation model guided bev maps for 3d object detection and tracking,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Bridging perspectives: Foundation model guided bev maps for 3d object detection and tracking,

Reference 5

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Observation d1d4f924-13e6-41fd-8183-f55e7dfdd362 · outbound

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

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking OccFormer: Dual-path transformer for vision-based 3D semantic occupancy prediction,

Reference 6

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Observation a0d41fed-037f-470c-941c-88dea7349341 · outbound

This paper cites SurroundOcc: Multi-camera 3D occupancy prediction for autonomous driving,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking SurroundOcc: Multi-camera 3D occupancy prediction for autonomous driving,

Reference 7

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Observation 4cdb75a5-33f7-4e47-894b-0688b13f14c5 · outbound

This paper cites COTR: Compact occupancy transformer for vision-based 3D occupancy prediction,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking COTR: Compact occupancy transformer for vision-based 3D occupancy prediction,

Reference 8

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Observation 5313585d-db01-4d01-99ab-22ab8a510b35 · outbound

This paper cites GaussianFormer: Scene as gaussians for vision-based 3D semantic occupancy prediction,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking GaussianFormer: Scene as gaussians for vision-based 3D semantic occupancy prediction,

Reference 9

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Observation a9f15380-000e-4a51-bc61-442ee5ab2a14 · outbound

This paper cites GaussianFormer-2: Probabilistic gaussian superposition for efficient 3D occupancy prediction,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking GaussianFormer-2: Probabilistic gaussian superposition for efficient 3D occupancy prediction,

Reference 10

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Observation 1804a355-d141-4a2b-920e-103b1f723b8c · outbound

This paper cites GaussianOcc: Fully self-supervised and efficient 3D occupancy estimation with gaussian splatting,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking GaussianOcc: Fully self-supervised and efficient 3D occupancy estimation with gaussian splatting,

Reference 11

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Observation cdf1c56c-0899-43b9-8a2c-ce1a8a4e37ba · outbound

This paper cites TrackFormer: Multi-object tracking with transformers,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking TrackFormer: Multi-object tracking with transformers,

Reference 12

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Observation c9e11b27-48f7-43f3-bb6d-6331e44bcec9 · outbound

This paper cites MOTR: End-to-end multiple-object tracking with transformer,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking MOTR: End-to-end multiple-object tracking with transformer,

Reference 13

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Observation 6f0e5e53-bcae-4246-92ea-da361782d9ef · outbound

This paper cites MUTR3D: A multi-camera tracking framework via 3D-to-2D queries,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking MUTR3D: A multi-camera tracking framework via 3D-to-2D queries,

Reference 14

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Observation 40799830-54b6-453c-8288-cb511dc508ec · outbound

This paper cites Standing between past and future: Spatio-temporal modeling for multi- camera 3D multi-object tracking,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Standing between past and future: Spatio-temporal modeling for multi- camera 3D multi-object tracking,

Reference 15

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Observation e23911ec-78de-456d-a760-199fdfb89c88 · outbound

This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,

Reference 16

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Observation 78398445-8b8a-4ac2-a5f8-b6f7dfdee14a · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Scalability in perception for autonomous driving: Waymo open dataset,

Reference 17

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Observation 4f75da52-2eb7-4a22-a9c3-5bcc61121547 · outbound

This paper cites Progressive multi- modal fusion for robust 3d object detection,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Progressive multi- modal fusion for robust 3d object detection,

Reference 18

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Observation 67aa18aa-8576-4812-a550-c7a90d54b455 · outbound

This paper cites Forecas- tOcc: Vision-based semantic occupancy forecasting,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Forecas- tOcc: Vision-based semantic occupancy forecasting,

Reference 19

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Observation a7791e13-716f-4a6b-877b-556312451e74 · outbound

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

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,

Reference 20

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Observation 1919695f-b96a-4156-8c59-c2538ced56e0 · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Per-pixel classification is not all you need for semantic segmentation,

Reference 21

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source=pdf_text observed=2026-08-02T20:31:07.951872Z digest=sha256:98936d00a268fbc72746f7a72791d730d3d6911b517828e24d775053d5790f3a

Observation a0b798d7-3ffc-4d1e-9fbc-f759bef4c688 · outbound

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

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking SparseOcc: Rethinking sparse latent representation for vision-based semantic occupancy prediction,

Reference 22

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Observation a5b45092-755d-4f8b-b7bc-ef7b1ea60146 · outbound

This paper cites PaSCo: Urban 3D panoptic scene completion with uncertainty awareness,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking PaSCo: Urban 3D panoptic scene completion with uncertainty awareness,

Reference 23

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Observation 22f3d982-5bf8-4236-a4db-4c9a71b2eb38 · outbound

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

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Tri-perspective view for vision-based 3D semantic occupancy prediction,

Reference 24

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Observation 2288aa95-0a1d-46a0-8d97-7bc6d7be2a29 · outbound

This paper cites OPUS: Occupancy prediction using a sparse set,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking OPUS: Occupancy prediction using a sparse set,

Reference 25

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Observation 780db242-b6c9-4e00-ae77-10f664987f83 · outbound

This paper cites LION: Linear group RNN for 3D object detection in point clouds,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking LION: Linear group RNN for 3D object detection in point clouds,

Reference 26

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Observation a019cf8a-7bb6-48cf-a016-ae1e5e422218 · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Point transformer v3: Simpler faster stronger,

Reference 27

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Observation 542e6b27-33aa-4a2c-93f9-716ae3d75b54 · outbound

This paper cites V oxelNeXt: Fully sparse voxelnet for 3D object detection and tracking,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking V oxelNeXt: Fully sparse voxelnet for 3D object detection and tracking,

Reference 28

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Observation 03efc7cc-d45b-4c83-bca9-8f00df517312 · outbound

This paper cites Video Panoptic Segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Video Panoptic Segmentation,

Reference 29

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Observation f4158c92-b160-4297-96f8-218f27edb000 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Masked-attention mask transformer for universal image segmentation,

Reference 30

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Observation da5911f8-445e-463f-b5e8-7e4d405459a7 · outbound

This paper cites CoDEPS: Online continual learning for depth estimation and panoptic segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking CoDEPS: Online continual learning for depth estimation and panoptic segmentation,

Reference 31

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Observation 36db50a5-12e5-4036-9b61-a23f8b41ddf9 · outbound

This paper cites BEVFormer: Learning bird’s-eye-view representation from LiDAR- camera via spatiotemporal transformers,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking BEVFormer: Learning bird’s-eye-view representation from LiDAR- camera via spatiotemporal transformers,

Reference 32

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Observation 6ba5d93b-6f2d-4823-a846-8c458c30f767 · outbound

This paper cites PETR: Position embedding transformation for multi-view 3D object detection,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking PETR: Position embedding transformation for multi-view 3D object detection,

Reference 33

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Observation ea4cbe6d-83fa-4971-9198-f4fab56cb151 · outbound

This paper cites STEP: Segmenting and tracking every pixel,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking STEP: Segmenting and tracking every pixel,

Reference 34

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Observation a75bfb63-9429-4e48-9e23-9de2e81994fe · outbound

This paper cites SemanticKITTI: A dataset for semantic scene understand- ing of lidar sequences,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking SemanticKITTI: A dataset for semantic scene understand- ing of lidar sequences,

Reference 35

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Observation 8c61258f-7323-4243-96ba-1b063f37f318 · outbound

This paper cites MinVIS: A minimal video instance segmentation framework without video-based training,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking MinVIS: A minimal video instance segmentation framework without video-based training,

Reference 36

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Observation 7feca8ee-8dea-4bf2-916e-7b76bbb52ed1 · outbound

This paper cites CTVIS: Consistent training for online video instance segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking CTVIS: Consistent training for online video instance segmentation,

Reference 37

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Observation b6f044d0-b528-40b1-9aef-c3d86045da1a · outbound

This paper cites 3D multi-object tracking: A baseline and new evaluation metrics,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking 3D multi-object tracking: A baseline and new evaluation metrics,

Reference 38

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no resolver link, observed 2026-08-02T20:31:09.223343Z

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Observation 0afe19ee-7080-44f5-9bf9-8f25365d60fe · outbound

This paper cites 4d panoptic lidar segmentation,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking 4d panoptic lidar segmentation,

Reference 39

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unresolved
no resolver link, observed 2026-08-02T20:31:09.265539Z

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Observation 27b2245e-26c7-4635-bcea-d2d5e9869cb8 · outbound

This paper cites An energy and GPU- computation efficient backbone network for real-time object detection,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking An energy and GPU- computation efficient backbone network for real-time object detection,

Reference 40

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unresolved
no resolver link, observed 2026-08-02T20:31:09.345536Z

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source=pdf_text observed=2026-08-02T20:31:09.345536Z digest=sha256:c759648d1aced5f962aee4ee9bf40cd05cd958f1efa8c3b2e25c1aeb64fecb4c

Observation dd7b1934-3133-4fdd-8de2-963aacc2db86 · outbound

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

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 41

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unresolved
no resolver link, observed 2026-08-02T20:31:09.417456Z

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Observation dbb8ec2c-d8a3-49b5-9168-c56c094f28b6 · outbound

This paper cites Vision transformer with deformable attention,.

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking Vision transformer with deformable attention,

Reference 42

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unresolved
no resolver link, observed 2026-08-02T20:31:09.501967Z

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Pith citing papers

Observation 205a958a-e52b-4998-8504-976476d4f0a7 · inbound

OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras cites this paper.

OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking

Reference 25

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no resolver link, observed 2026-08-02T18:35:24.683744Z

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Observation d6187bdb-98e1-46ac-8c5f-42f3b6b62974 · inbound

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation cites this paper.

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking

Reference 34

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verified exact
arxiv_id, observed 2026-06-19T17:11:54.749803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5eb9fb9e-e854-4dc4-95bb-78bdb429f50f · inbound

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking cites this paper.

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking

Reference 5

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metadata mismatch
local_arxiv, observed 2026-07-01T09:35:39.850452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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