Paper Citation Record · LEDGER

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1909.01643.

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

pith.paper-citation-record.v1
1909.01643 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:16:12.936930Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy17
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07570fb7-01d9-41ef-94c1-3548f53fbd33 · outbound

This paper cites Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.392729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c09cfd33-1275-4e91-883e-b5da33a35f02 · outbound

This paper cites Efﬁcient online segmentation for sparse 3d laser scans,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Efﬁcient online segmentation for sparse 3d laser scans,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.376431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8f2dfb5-68dc-4092-b9b1-f29f5cb7f2b3 · outbound

This paper cites Pixor: Real-time 3d object detection from point clouds,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Pixor: Real-time 3d object detection from point clouds,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.360474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d628f079-f697-4420-97f1-be14e7115bd7 · outbound

This paper cites Deep continuous fusion for multi-sensor 3d object detection,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Deep continuous fusion for multi-sensor 3d object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.343310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d54d9833-eee6-4ca4-ac95-239bc329a6cb · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.324888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86a3dec6-0fae-4420-acf5-bbb96ab077e3 · outbound

This paper cites SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.842340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12445b1-333f-4c1f-aa81-60a9dfa8b246 · outbound

This paper cites PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.848518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d239100-cf8f-498e-a265-6212b8662260 · outbound

This paper cites Frustum pointnets for 3d object detection from rgb-d data,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Frustum pointnets for 3d object detection from rgb-d data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.306022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f36d1a1-8050-44a7-88a4-02a4a2f996e0 · outbound

This paper cites Pointfusion: Deep sensor fusion for 3d bounding box estimation,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Pointfusion: Deep sensor fusion for 3d bounding box estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.287130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d1497a98-21c6-4752-8a10-2d180c09513a · outbound

This paper cites Joint 3d proposal generation and object detection from view aggregation,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Joint 3d proposal generation and object detection from view aggregation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.270499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2702088-422c-459b-9e92-f07278c61d3f · outbound

This paper cites PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.869283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5f58ad-6f4e-4360-aa74-16cb43dec4a9 · outbound

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

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Pointnet: Deep learning on point sets for 3d classiﬁcation and segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.253151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4619c3df-d5c1-4494-9756-4cd4c22d92c5 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Vision meets robotics: The kitti dataset,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.882054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e33cf93-68db-48f8-a55a-9b74c30dc2cf · outbound

This paper cites On the segmentation of 3d lidar point clouds,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud On the segmentation of 3d lidar point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.221343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2726d900-f455-440c-b3c5-539f0ff97276 · outbound

This paper cites Segmentation of 3d lidar data in non-ﬂat urban environments using a local convexity criterion,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Segmentation of 3d lidar data in non-ﬂat urban environments using a local convexity criterion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.194775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c53b893b-c225-4bce-954e-0f04f6f7e430 · outbound

This paper cites Real-time and accurate segmentation of 3-d point clouds based on gaussian process regression,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Real-time and accurate segmentation of 3-d point clouds based on gaussian process regression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.176062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd022360-3ba2-469d-8af4-5cf9050c9f38 · outbound

This paper cites What could move? ﬁnding cars, pedestrians and bicyclists in 3d laser data,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud What could move? ﬁnding cars, pedestrians and bicyclists in 3d laser data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.156900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c663edad-03c5-4402-8026-ce63393c9922 · outbound

This paper cites Multi-view 3d object de- tection network for autonomous driving,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Multi-view 3d object de- tection network for autonomous driving,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.137918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9815258-a697-451c-9d78-df6ae21c034c · outbound

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

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Pointnet++: Deep hierar- chical feature learning on point sets in a metric space,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.121279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6a2d8eb-c832-4418-8e2b-862a80164f57 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Second: Sparsely embedded convolutional detection,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.917551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096fede7-42cd-4e31-97fc-bf9f23458e9a · outbound

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

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.090367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7ea7a0c-4887-4887-b88a-b6a6f4d47bac · outbound

This paper cites PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:16:12.983183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ba15676-127a-4469-9c72-440bb9c13803 · outbound

This paper cites Focal loss for dense object detection,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Focal loss for dense object detection,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:12.932234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ff7788-e31c-471c-bfa1-86971ba897ad · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks,.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud Faster r-cnn: Towards real- time object detection with region proposal networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:16:13.060708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.