Paper Citation Record · LEDGER

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.02937.

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

pith.paper-citation-record.v1
2501.02937 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:04:16.090720Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy27
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dcac88a-3152-4ae0-af07-cfb2432ec781 · outbound

This paper cites Suma++: Efficient lidar-based semantic slam,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Suma++: Efficient lidar-based semantic slam,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.689070Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e0d6123-4ea8-44d6-bb33-24dce923ad8c · outbound

This paper cites RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:15.921168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836b8a03-5c98-4355-a902-ced143ddfbcf · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Kpconv: Flexible and deformable convolution for point clouds,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.674727Z

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Observation c4b9aca7-dfb6-427d-8c3e-54cb0bc6ca20 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 4

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Observation f8282a39-6aef-4f88-9b2b-1c90b4c1a7f3 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.649782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c880758-5df7-4a4a-822e-fcc36d5fe45f · outbound

This paper cites Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:15.942762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4cdbef4-f1a0-4a3a-804c-eb6d8d9b02e5 · outbound

This paper cites Spherical transformer for lidar- based 3d recognition,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Spherical transformer for lidar- based 3d recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.634994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 73d6f54a-63b7-446c-a68f-7a18b269f93d · outbound

This paper cites Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.621007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d989122a-6cb8-462c-ad54-8979369a8656 · outbound

This paper cites Rethinking range view representation for lidar segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Rethinking range view representation for lidar segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.605655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c4fd190-3abc-417a-aef3-2ef34693cf50 · outbound

This paper cites Svqnet: Sparse voxel-adjacent query network for 4d spatio-temporal lidar se- mantic segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Svqnet: Sparse voxel-adjacent query network for 4d spatio-temporal lidar se- mantic segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.588317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f9eed34-f1ba-4c60-ab25-335e2ec114e8 · outbound

This paper cites Lidar-based recurrent 3d semantic segmentation with temporal memory alignment,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Lidar-based recurrent 3d semantic segmentation with temporal memory alignment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.572982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e7f69fa-5e52-465f-bcb6-749330bb3064 · outbound

This paper cites Meta-rangeseg: Lidar sequence seman- tic segmentation using multiple feature aggregation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Meta-rangeseg: Lidar sequence seman- tic segmentation using multiple feature aggregation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.557792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37b055ba-8a3d-4fa5-84a3-bad78299d6ce · outbound

This paper cites Memoryseg: Online lidar semantic segmentation with a latent memory,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Memoryseg: Online lidar semantic segmentation with a latent memory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.543191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43cc546e-c841-45d1-b79c-91f86ad2af4f · outbound

This paper cites Using a waffle iron for automotive point cloud semantic segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Using a waffle iron for automotive point cloud semantic segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.528371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d80df23-54e6-48b9-9135-aac8a0ecbe61 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:15.985080Z

Source-reported events for the cited work

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Observation 309ff20f-735e-4d91-a691-f3cd8e7fac8f · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.505530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a64d7d84-8cbb-4936-87aa-2a262bf53242 · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.491847Z

Source-reported events for the cited work

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Observation efa57135-adf0-4b39-9896-717a3d640fa6 · outbound

This paper cites Search- ing efficient 3d architectures with sparse point-voxel convolution,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Search- ing efficient 3d architectures with sparse point-voxel convolution,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.475693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc8f834d-df3f-4900-8717-c2906a47fabc · outbound

This paper cites Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.461614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb526ca0-ba3c-4e1b-a6bc-7906c11e81ba · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.446703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea8f3253-1199-40cd-aff6-f6c4b0da7697 · outbound

This paper cites Taseg: Temporal aggregation network for lidar semantic segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Taseg: Temporal aggregation network for lidar semantic segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.432255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d13e4f5-64ff-4c7b-b623-8131dbd81e18 · outbound

This paper cites Receding moving object segmentation in 3d lidar data using sparse 4d convolutions,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Receding moving object segmentation in 3d lidar data using sparse 4d convolutions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.417033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cc59a27-0ea7-432c-84b6-f6d0867550fa · outbound

This paper cites Rvmos: Range-view moving object seg- mentation leveraged by semantic and motion features,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Rvmos: Range-view moving object seg- mentation leveraged by semantic and motion features,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.402337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a16f7310-ea79-4ff8-95e3-c1df440176d2 · outbound

This paper cites MF-MOS: A Motion-Focused Model for Moving Object Segmentation.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation MF-MOS: A Motion-Focused Model for Moving Object Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:16.027419Z

Source-reported events for the cited work

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Observation 38f193d4-cb5e-4aa9-b0b2-85b419e81b85 · outbound

This paper cites Dynamic clus- tering transformer network for point cloud segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Dynamic clus- tering transformer network for point cloud segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.385659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 827c9456-0b9d-470c-8a8b-547c83f6bd14 · outbound

This paper cites Clustering based point cloud representation learning for 3d analysis,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Clustering based point cloud representation learning for 3d analysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.367166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ab51444-c715-4291-aa03-8049f64965e6 · outbound

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

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.351021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7218c361-437d-41bb-ba9a-9485ad36b1dd · outbound

This paper cites Abstract flow for temporal se- mantic segmentation on the permutohedral lattice,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Abstract flow for temporal se- mantic segmentation on the permutohedral lattice,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.334940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01657181-51b7-4e41-9318-ea463e0f610d · outbound

This paper cites Mars3d: A plug-and- play motion-aware model for semantic segmentation on multi-scan 3d point clouds,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Mars3d: A plug-and- play motion-aware model for semantic segmentation on multi-scan 3d point clouds,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.319212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation deb0120b-816c-4605-92f1-9f210e17cef5 · outbound

This paper cites SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:16.056285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074810a8-f004-4901-8b49-d53a7562f89d · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.303171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d05200a2-c072-4f5d-baac-f33d6475c197 · outbound

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

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation nuscenes: A multi- modal dataset for autonomous driving,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:16.066036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd8a4ae-5ca8-436b-bc57-40fb5e2e2e19 · outbound

This paper cites Decoupled Weight Decay Regularization.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Decoupled Weight Decay Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:16.070543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d597d9e9-3a41-4b71-a99a-d73aeee73c17 · outbound

This paper cites Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.273309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c9b261d-d9a2-470a-8efa-5a513901fa9b · outbound

This paper cites Moving object segmentation in 3d lidar data: A learning-based approach exploiting sequential data,.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation Moving object segmentation in 3d lidar data: A learning-based approach exploiting sequential data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:04:16.255244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1287e005-8486-43ca-844d-5a85fc8a4e31 · outbound

This paper cites InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:16.085572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e7f1aa-4658-4529-94da-b3cf942baa78 · outbound

This paper cites MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features.

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:04:16.143906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.