Paper Citation Record · LEDGER

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.08699.

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

pith.paper-citation-record.v1
2506.08699 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:09:35.803094Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy21
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d987c42-4f33-472c-8814-0fb47422104b · outbound

This paper cites Bop: Benchmark for 6d object pose estimation,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bop: Benchmark for 6d object pose estimation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:40.208032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a21a83d-5314-4261-9e7b-5ae40dba73c3 · outbound

This paper cites BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:09:36.015169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba0257d5-8441-421c-8dee-c3f8a6e527ed · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:40.022644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b987999d-6f52-4e43-8758-8fca080ae21f · outbound

This paper cites Model globally, match locally: Efficient and robust 3d object recognition,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Model globally, match locally: Efficient and robust 3d object recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:39.853021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e10f1995-8b34-413a-be35-95806cc22169 · outbound

This paper cites Bayesian inference for cad-based pose estimation on depth images for robotic manipulation,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bayesian inference for cad-based pose estimation on depth images for robotic manipulation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:39.714572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba1ff63d-6567-4dcf-ba31-b1a898444675 · outbound

This paper cites A hybrid approach for 6dof pose estimation,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds A hybrid approach for 6dof pose estimation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:39.500908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7f3f030-b033-4a27-a61d-4ab5b3b7564b · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Pointpillars: Fast encoders for object detection from point clouds,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:33.699222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6d99da-5633-4c0f-bae9-c047c07709dd · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Autonomous driving system: A comprehensive survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:39.355899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3654329-4c59-471b-9242-f0c6ce1aed55 · outbound

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

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:39.146550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27781a47-b4d1-4916-8ebc-7c4a933bca1e · outbound

This paper cites Assembly challenge: a robot competition of the industrial robotics category, world robot summit–summary of the pre-competition in 2018,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Assembly challenge: a robot competition of the industrial robotics category, world robot summit–summary of the pre-competition in 2018,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:38.959190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 159b05a8-fa5e-4500-9927-990a42610d4e · outbound

This paper cites Recovering 6d object pose and predicting next-best-view in the crowd,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Recovering 6d object pose and predicting next-best-view in the crowd,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:38.760190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00fce301-0383-48ba-8318-ba32f5a89273 · outbound

This paper cites A workpiece grasp detection method based on 3d object detection,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds A workpiece grasp detection method based on 3d object detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:38.545146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05e70feb-1718-4b2f-a810-25bb712f7878 · outbound

This paper cites Instance segmentation based 6d pose estimation of industrial objects using point clouds for robotic bin- picking,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Instance segmentation based 6d pose estimation of industrial objects using point clouds for robotic bin- picking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:38.356553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a00e2e37-cfcd-4c38-908e-b0d3722293a4 · outbound

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

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:34.252990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f76bbd7-8ea6-4e3e-b5f9-a34156c3a2a9 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Dynamic graph cnn for learning on point clouds,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:38.110742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94486059-fa4c-4ece-87b1-7a789e1888b6 · outbound

This paper cites Deep learning classification of large-scale point clouds: A case study on cuneiform tablets,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Deep learning classification of large-scale point clouds: A case study on cuneiform tablets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:37.855460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6c72520-eb25-49c2-99f0-e5944baf6460 · outbound

This paper cites Nearest neighbor pattern classification,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Nearest neighbor pattern classification,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:34.560762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6269a6c-687b-4a35-84fc-7d424f9c29c9 · outbound

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

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:34.659066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ca8117-a1fc-45ba-b989-b7aa8ef01edc · outbound

This paper cites An adjustable farthest point sampling method for approximately-sorted point cloud data,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds An adjustable farthest point sampling method for approximately-sorted point cloud data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:37.638437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b18242d5-e3aa-4857-a5b2-cc0c3336206b · outbound

This paper cites Least-squares fitting of two 3-d point sets,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Least-squares fitting of two 3-d point sets,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:34.848807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9900bc1d-051c-422b-9360-b2628cc2c6cc · outbound

This paper cites Bridging the reality gap for pose estimation networks using sensor-based domain randomization,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bridging the reality gap for pose estimation networks using sensor-based domain randomization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:37.399288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 681d21e2-60da-419a-821d-54312099ab24 · outbound

This paper cites Bop challenge 2020 on 6d object localization,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bop challenge 2020 on 6d object localization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:37.182793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8436e21a-a51e-401f-bec6-a219428e68be · outbound

This paper cites Photorealistic image synthesis for object instance detection,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Photorealistic image synthesis for object instance detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:36.957203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbdf569d-2511-4de4-bb83-ce1c56397625 · outbound

This paper cites A computational approach to edge detection,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds A computational approach to edge detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:35.258032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5e5960-8cae-4b9e-a378-c3e623e76029 · outbound

This paper cites Learning to model the tail,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Learning to model the tail,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:36.776909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cafc081c-4c7e-4d37-bfe5-f368048b8763 · outbound

This paper cites Latent-class hough forests for 3d object detection and pose estimation,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Latent-class hough forests for 3d object detection and pose estimation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:36.595849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 113b3bd1-cca6-4349-bc2a-8f132b898d5a · outbound

This paper cites Rotational subgroup voting and pose clustering for robust 3d object recognition,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Rotational subgroup voting and pose clustering for robust 3d object recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:36.405469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e2a9181-7c88-47ae-a852-419f39d6ce0f · outbound

This paper cites Bayesian optimization of 3d feature parameters for 6d pose estimation,.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Bayesian optimization of 3d feature parameters for 6d pose estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:36.194889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df1eb572-8f09-46fd-a761-623c01db91fa · outbound

This paper cites Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:35.803094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.