Paper Citation Record · LEDGER

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2008.01550.

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

pith.paper-citation-record.v1
2008.01550 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:03:52.483968Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:57:26.327968Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26db6f14-ded7-4087-a044-c71ba778271f · inbound

Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments cites this paper.

Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T05:35:29.103078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c1060a-21ae-43a3-a7b2-b0ee669677aa · inbound

Occam's LGS: An Efficient Approach for Language Gaussian Splatting cites this paper.

Occam's LGS: An Efficient Approach for Language Gaussian Splatting Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.302283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dece3e3-6505-4bfb-a305-ed614ec11281 · inbound

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality cites this paper.

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T10:37:27.671636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22184c8c-9d13-4780-a636-00ab496348ae · inbound

Neural Error Covariance Estimation for Precise LiDAR Localization cites this paper.

Neural Error Covariance Estimation for Precise LiDAR Localization Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:31.675459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation cites this paper.

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 8bae5dec-4d51-4a4a-be49-f4396f2e1cdc · inbound

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet cites this paper.

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:03:52.483968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801fc857-f31a-4b6d-a8b8-f82695d0c543 · inbound

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation cites this paper.

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T11:30:49.973999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce9f166-c1f0-471b-9fd6-84d2446a3872 · inbound

SliceSemOcc: Vertical Slice Based Multimodal 3D Semantic Occupancy Representation cites this paper.

SliceSemOcc: Vertical Slice Based Multimodal 3D Semantic Occupancy Representation Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T10:31:52.394336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad69f84-c0cb-42af-bf20-0d49ee960bd5 · 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 Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:32:31.373367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3255b95-cc0a-4aa9-9e67-b56f94400a65 · inbound

UniD-Shift: Towards Unified Semantic Segmentation via Interpretable Share-Private Multimodal Decomposition cites this paper.

UniD-Shift: Towards Unified Semantic Segmentation via Interpretable Share-Private Multimodal Decomposition Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:57.966344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93e7de65-4ee4-48e8-b698-cbbc0eed7dbf · inbound

xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR cites this paper.

xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:14.848034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c8e049c-93a1-4770-a291-9a797d936234 · inbound

Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups cites this paper.

Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:57:26.329582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d59c291-e240-4d90-85ef-59c5d03599ad · inbound

Learning to Suppress SPAD-based LiDAR Flare cites this paper.

Learning to Suppress SPAD-based LiDAR Flare Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T03:51:00.602924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.