Paper Citation Record · LEDGER

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.08601.

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

pith.paper-citation-record.v1
1908.08601 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:38:36.931234Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

18 of 18 outbound references displayed

verified exact2
verified fuzzy10
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 198287f0-63c8-4d2f-912d-5d83a91e3f92 · outbound

This paper cites Kinectfusion: Real-time dense surface mapping and tracking,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Kinectfusion: Real-time dense surface mapping and tracking,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.390179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ea1b079b-2248-44f7-ad68-2c619106f33c · outbound

This paper cites Robust odometry estimation for RGB-D cameras,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Robust odometry estimation for RGB-D cameras,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.379203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 80093685-d938-47c8-9769-2a9ddb599fc8 · outbound

This paper cites Elasticfusion: Real-time dense slam and light source estimation,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Elasticfusion: Real-time dense slam and light source estimation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.689973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 244a1d30-b5ef-45ca-95c9-7ceb130e9fdf · outbound

This paper cites High-quality Instance-aware Semantic 3D Map Using RGB-D Camera.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots High-quality Instance-aware Semantic 3D Map Using RGB-D Camera

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:38:37.080387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8385a0b-83e1-43b8-a405-0d6a92e55d05 · outbound

This paper cites Meaningful maps with object-oriented semantic mapping,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Meaningful maps with object-oriented semantic mapping,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.362050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c853eb9f-e317-435c-bc31-e98c48dfaa89 · outbound

This paper cites Fusion++: Volumetric Object-Level SLAM.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Fusion++: Volumetric Object-Level SLAM

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:38:37.064110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0eafd2e-6c2c-415d-a0b2-82efa8980be4 · outbound

This paper cites MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.706752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acaa41dc-1701-4695-aeec-e0a5d3298e35 · outbound

This paper cites Cooperative bin-picking with time-of-ﬂight camera and impedance controlled DLR lightweight robot III,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Cooperative bin-picking with time-of-ﬂight camera and impedance controlled DLR lightweight robot III,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.349715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d392184-2e65-4d94-9a6a-f2b8b2490bb4 · outbound

This paper cites Coarse ﬁlters for shape matching,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Coarse ﬁlters for shape matching,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.338962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c2f63fe-ca11-4a4d-af73-f82b11c697ea · outbound

This paper cites Automatic pose estimation for range images on the GPU,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Automatic pose estimation for range images on the GPU,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.308387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50116ee9-b2c2-417d-ae84-261a56485cdf · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.721714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacc5b54-b963-4832-bd4c-d48ddc216cba · outbound

This paper cites Real-time seamless single shot 6D object pose prediction,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Real-time seamless single shot 6D object pose prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.191523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 227b0cb1-c7f8-4fea-84fe-490c9674de5b · outbound

This paper cites DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.729199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50420562-7a33-4f63-945c-d8b30822d098 · outbound

This paper cites Mask R-CNN,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Mask R-CNN,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.125343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8bb9f25c-6bba-4d83-b7d8-2f7fa085da93 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Fully convolutional networks for semantic segmentation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.736303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a3d69b-1385-42e5-b76e-5f6c03ce713f · outbound

This paper cites Dense 3d semantic mapping of indoor scenes from rgb-d images,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Dense 3d semantic mapping of indoor scenes from rgb-d images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.107483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88294455-2503-4735-8a6c-62c6250f41df · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Adam: A Method for Stochastic Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:36.877688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e59a21-7bb2-4960-80a1-3eaa700fe168 · outbound

This paper cites Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes,.

Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:38:37.092950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.