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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.305430Z digest=sha256:2aa4ec467c640e812db9a8f97c106d244f9d69e5e93d72f467c5c99dfd6c7ad9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.380980Z digest=sha256:b3a7c9ef61de73b67bc323266499d06d6cef2dcb2706716147957c85cfbb81d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.459610Z digest=sha256:8511d7955dce2e2668823c384c8ba870a0fc560371a8fc891e2c2171c8017807

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.530905Z digest=sha256:502ce3cd812523d39882806d613147ae2bc2d797357c150c8b591fe0a06539cb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.608152Z digest=sha256:2f8e16ce2ed2983ba8ca9e191010e60375c9d14da1ba93ef41fa11c4cd6f63de

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.

source=pdf_text observed=2026-08-07T05:09:33.699222Z digest=sha256:cf5cc5a1d67f16705753d24af63625ebe6d0bf64ffa95bfed7ef4d353d30ea27

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.767326Z digest=sha256:eb960d8a5e8dad1bdf766c05725baf013e76c9b43d172cdd74c912d23c6525cd

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:33.934651Z digest=sha256:d0c229c7b5086dc1076462e4cf5db2f4791232be57538451a0704e68a551f7fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.006241Z digest=sha256:23a49b3cf5e32d0dd33e37d50c548980ceece3dfb335592445f5f69b98fb0084

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.087433Z digest=sha256:b21fca087d9f3e1030c0232180664a6ebcb4eb17f526f8b5ae32de138eaf0995

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.172419Z digest=sha256:ce43f6470d5adf586387f254cb938c3a233126250e3d9bd347abf4936cad6911

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.

source=pdf_text observed=2026-08-07T05:09:34.252990Z digest=sha256:78d63a63f0e421a6a601217313b874246208ec5eeb519a8d9243afcbd7d9f040

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.355241Z digest=sha256:313f6878b4d5c9b6e74d250c3fb22466a2ae46d9b8c592ad8c721c18584c59d7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.473718Z digest=sha256:1cebab143a2579fe46e5969ea59f11c147a5e1f29ea8aa085bc50889d98134ce

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.

source=pdf_text observed=2026-08-07T05:09:34.560762Z digest=sha256:32bb9971c851425ec6e3c5abd8bf77fe80adc40f81dd9570119ce877bb2a42de

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.

source=pdf_text observed=2026-08-07T05:09:34.659066Z digest=sha256:1fef631ebb5e790fa429b6b6a9d15abc3a6cdd27f43633b197ccd04ff07e17ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.761459Z digest=sha256:e08414d2dcffa5cc9684a09c4bca2317419b4fc0a76d56d8d3a9b27a3bfb56d6

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.

source=pdf_text observed=2026-08-07T05:09:34.848807Z digest=sha256:17579c8ef0b738a16d8b2c31494a1c2c492dae719693cef36ae95135bd100a92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:34.948454Z digest=sha256:3b54b186eb8e5203fa332cd40f11f1db8721f933dee7c544b9c6f75101616b82

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.062020Z digest=sha256:ed756d1b27c8f9c32e56e250803114dd1a0898e8003d02f415874d0adf87525b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.162906Z digest=sha256:e3cdf9dd0019ea46b62b54d06ea351964cce231fe2cb869954297d5f0f4cb252

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.

source=pdf_text observed=2026-08-07T05:09:35.258032Z digest=sha256:149286bbf11238a4cf6de3242bdcc5e31d19460aac0f79e51d32625783717103

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.370131Z digest=sha256:0f1e5ba1b7a9a51b3370d0a306327811dba7865d2371dfddb0c2e3c2f582ef79

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.480880Z digest=sha256:d86acca4f5924e8b60e8d6e516d2611b2b9b7f5bba6861f71ebc1df157e7402f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.580505Z digest=sha256:6ba87971a2a39f12f4a50a9701c219bcec48cdb64a16ef3a44226784b85ced72

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:09:35.684795Z digest=sha256:69c86aa3560b25512f515873a4038e2b199cb517ded422280b8bad1894f443a5

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.

source=pdf_text observed=2026-08-07T05:09:35.803094Z digest=sha256:3ea60acdd47a89e98601019d9f8b3b3a67b6e0b66176fb3f31b395cd88d7919f

Pith citing papers

No inbound Pith citation observations are available.