Paper Citation Record · LEDGER

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.07616.

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

pith.paper-citation-record.v1
2412.07616 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:43:35.061427Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

43 of 43 outbound references displayed

verified exact1
verified fuzzy35
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65f4c73b-6148-4f72-99fe-60c8abf07930 · outbound

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

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.260347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b30039-660b-4fcf-ae70-6b615099ace3 · outbound

This paper cites 3d object detection with pointformer.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction 3d object detection with pointformer

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.983115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cdecd08e-9e4b-4203-a8e4-44a2fb8cadf9 · outbound

This paper cites Lif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Lif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.904542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9a58e47-57d0-4701-b5a1-425bec7ba9ea · outbound

This paper cites Partner: Level up the polar representa- tion for lidar 3d object detection, 2023.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Partner: Level up the polar representa- tion for lidar 3d object detection, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.791180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19ee4d46-8d34-4841-bfb6-99457f76eafe · outbound

This paper cites Deep learning-enabled 3d multimodal fusion of cone-beam ct and intraoral mesh scans for clinically applica- ble tooth-bone reconstruction.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Deep learning-enabled 3d multimodal fusion of cone-beam ct and intraoral mesh scans for clinically applica- ble tooth-bone reconstruction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.719534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2636c143-3335-47ca-b75c-1dca117d1acb · outbound

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

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Center- based 3d object detection and tracking

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.663550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fa83dfe-2bae-4171-9dc5-862ebd45533b · outbound

This paper cites 3d semantic segmentation with submani- fold sparse convolutional networks.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction 3d semantic segmentation with submani- fold sparse convolutional networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.648031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b09de13a-93a2-4d13-b4f6-a4d5ad53701c · outbound

This paper cites Segcloud: Semantic segmen- tation of 3d point clouds.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Segcloud: Semantic segmen- tation of 3d point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.536031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e3fe7a0-9dd0-42ad-b2cb-7a55bb6c2418 · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driv- ing.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Mseg3d: Multi-modal 3d semantic segmentation for autonomous driv- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.471937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b41996c8-2702-4f6f-a1f1-36f653bf4119 · outbound

This paper cites Hydro-3d: Hybrid object detection and tracking for co- operative perception using 3d lidar.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Hydro-3d: Hybrid object detection and tracking for co- operative perception using 3d lidar

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.456529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5068ec07-b8e8-4a17-98c2-752aab399b93 · outbound

This paper cites Supfusion: Supervised lidar- camera fusion for 3d object detection.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Supfusion: Supervised lidar- camera fusion for 3d object detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.441031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41281ff8-c730-4452-8cf1-5876bd2e317c · outbound

This paper cites AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.624964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fab6b7e-d6e2-4ad0-9c2c-5065d3b8f840 · outbound

This paper cites Refined individual tooth segmentation from cone beam ct images.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Refined individual tooth segmentation from cone beam ct images

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.355370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fd73c06-5b0d-4ceb-b905-da45ca044266 · outbound

This paper cites Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.697182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879acb63-a424-451a-8963-7b1e352ec05b · outbound

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

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.722751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d78403a-e1a8-4e1d-bff9-2f804892819e · outbound

This paper cites Openoccupancy: A large scale benchmark for sur- rounding semantic occupancy perception.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Openoccupancy: A large scale benchmark for sur- rounding semantic occupancy perception

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.257611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ad61ce0-f9ef-46e8-a6b0-829d919b712b · outbound

This paper cites SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.731798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7533e152-a1a9-4af3-82e5-c2d3de82fe44 · outbound

This paper cites Scalable geometric fracture assembly via co-creation space among assemblers.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Scalable geometric fracture assembly via co-creation space among assemblers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.206777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41705354-3392-4f74-9fb1-37ee80d2d0d5 · outbound

This paper cites Sa-convonet: Sign-agnostic optimization of convolutional occupancy networks.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Sa-convonet: Sign-agnostic optimization of convolutional occupancy networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.191026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27da0f3a-6b10-4f5d-aa6f-1c5447772707 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers, 2022.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.175978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a4ba37a-c33b-4ae9-856e-63e0f2d2847f · outbound

This paper cites Feature pyra- mid networks for object detection.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Feature pyra- mid networks for object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:36.098392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 795c91ed-1f09-4173-832f-68e7b7769014 · outbound

This paper cites Polarformer: Multi- camera 3d object detection with polar transformer.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Polarformer: Multi- camera 3d object detection with polar transformer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.965704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 865be536-788e-48cc-b4a9-ed2bb45aedcc · outbound

This paper cites Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.932113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 289b0b20-e13a-4c29-b6a7-0d213186390d · outbound

This paper cites Semantic seg- mentation of 3d lidar data using deep learning: a re- view of projection-based methods.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Semantic seg- mentation of 3d lidar data using deep learning: a re- view of projection-based methods

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.916763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0546ad36-d216-4638-961a-4b480b53383e · outbound

This paper cites Polarpoint-bev: Bird-eye- view perception in polar points for explainable end-to-end autonomous driving.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Polarpoint-bev: Bird-eye- view perception in polar points for explainable end-to-end autonomous driving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.902118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39ddea1a-9dcd-4723-91f9-074daae9b4da · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds se- mantic segmentation.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Polarnet: An improved grid representation for online lidar point clouds se- mantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.884715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d807d8f0-9501-4320-a054-499f9a0cf87e · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmenta- tion.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Cylindrical and asymmetrical 3d convolution networks for lidar segmenta- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.795758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a95ec2b1-8247-44e9-9695-e7824c605fe0 · outbound

This paper cites Polarstream: Streaming object detection and segmentation with polar pil- lars.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Polarstream: Streaming object detection and segmentation with polar pil- lars

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.731386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61370ecb-b1a8-4eb9-9598-54ed64b8bec8 · outbound

This paper cites One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:43:35.108350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c30c952-b77d-4190-a98c-9cfbae05aa66 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences, 2019.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Se- mantickitti: A dataset for semantic scene understanding of lidar sequences, 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.715276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71a74883-6014-4b97-be7f-4d77d6d13810 · outbound

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

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Lmscnet: Lightweight multiscale 3d semantic completion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.700697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5470c39e-fb6e-42f1-9b46-6954dae469cd · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion, 2021.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion, 2021

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.685275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8a83b13-78cb-4623-9e62-e6f50edb08de · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion, 2020.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Anisotropic convolutional networks for 3d semantic scene completion, 2020

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.669815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d36fe0e-43fe-44d6-bcc5-f2b671abca86 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d, 2020.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d, 2020

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.569047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9165779-6c23-4064-bde8-063d1a23ae19 · outbound

This paper cites Deep residual learning for image recognition.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Deep residual learning for image recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T18:43:34.814136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d01a94-180e-44a3-b3dc-7939ab9eef90 · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.475845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e268b5b8-e175-44f5-a750-1e198bffaaac · outbound

This paper cites Scf-net: Learning spatial contextual fea- tures for large-scale point cloud segmentation.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Scf-net: Learning spatial contextual fea- tures for large-scale point cloud segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.460893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e96828a-a87d-4efe-b949-b1958d97fc1d · outbound

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

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction nuscenes: A multi- modal dataset for autonomous driving

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.442080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ebee864-7bfd-4e5c-9567-6baabe5c4362 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion, 2022.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Monoscene: Monoc- ular 3d semantic scene completion, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.424433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c51bdc94-a75e-4bf3-8c0c-3154fbca6944 · outbound

This paper cites 3d sketch-aware semantic scene completion via semi-supervised structure prior, 2020.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction 3d sketch-aware semantic scene completion via semi-supervised structure prior, 2020

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.405997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34cf50a1-1dbf-4f36-8f93-f36e50236a39 · outbound

This paper cites Toothsegnet: image degradation meets tooth segmentation in cbct images.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Toothsegnet: image degradation meets tooth segmentation in cbct images

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.306407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf397384-5cc1-44d7-929e-ab71bbccbf68 · outbound

This paper cites an unresolved cited work.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:43:35.221398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e602c2a-e223-4656-bf8a-24b5de1313ae · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Swin transformer: Hierarchical vision transformer using shifted windows

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:43:35.205586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.