Paper Citation Record · LEDGER

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.06109.

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

pith.paper-citation-record.v1
1908.06109 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:00:19.742366Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy34
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2dec7711-f64c-4d6e-9b43-be535edf2595 · outbound

This paper cites CAD-model recognition and 6DOF pose estimation using 3D cues.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments CAD-model recognition and 6DOF pose estimation using 3D cues

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.411839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44f0b43b-680c-4d1e-94d4-069b92ac19cc · outbound

This paper cites Scan2CAD: Learning CAD model alignment in RGB-D scans.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Scan2CAD: Learning CAD model alignment in RGB-D scans

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.394753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2a10421-6066-440b-9381-35a6d3f5a706 · outbound

This paper cites Matterport3D: Learning from RGB- D data in indoor environments.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Matterport3D: Learning from RGB- D data in indoor environments

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.373988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dced2928-b1d0-48df-bb9e-4487493117ba · outbound

This paper cites ScanNet: Richly-annotated 3D reconstructions of indoor scenes.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments ScanNet: Richly-annotated 3D reconstructions of indoor scenes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.357494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6cbea9d6-fedb-4bfa-9f47-6faa84842fc7 · outbound

This paper cites 3DMV: Joint 3D-Multi- View Prediction for 3D Semantic Scene Segmentation.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments 3DMV: Joint 3D-Multi- View Prediction for 3D Semantic Scene Segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.341478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31e9cede-2db7-4d26-ab7a-7c6e5abe23be · outbound

This paper cites BundleFusion: Real-time Glob- ally Consistent 3D Reconstruction using On-the-ﬂy Surface Re-integration.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments BundleFusion: Real-time Glob- ally Consistent 3D Reconstruction using On-the-ﬂy Surface Re-integration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.322682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89851426-e33b-4f4c-9ae5-a38918668c41 · outbound

This paper cites PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local De- scriptors.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local De- scriptors

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.306205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fa1781c-fa31-4c60-9727-1fd3af631ea3 · outbound

This paper cites TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.292239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28576da4-536f-46e3-a772-42fefcecc77b · outbound

This paper cites RGBD Datasets: Past, Present and Future.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments RGBD Datasets: Past, Present and Future

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.276389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83f05814-193f-4047-838c-47a2951d6b2d · outbound

This paper cites 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.262734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aaea6bb3-bef3-48ac-9726-709ec25fbf56 · outbound

This paper cites InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.249454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7180bb25-dac7-4126-8f79-4486f18ea779 · outbound

This paper cites Fusion++: V olumetric Object-Level SLAM.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Fusion++: V olumetric Object-Level SLAM

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.234381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 571a5e56-d122-4ac4-b2a2-83a8bf283a52 · outbound

This paper cites SemanticFusion: Dense 3D Semantic Map- ping with Convolutional Neural Networks.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments SemanticFusion: Dense 3D Semantic Map- ping with Convolutional Neural Networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.217747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e787ac4e-84e5-41da-9d0a-7615d22de71b · outbound

This paper cites SceneNet RGB-D: Can 5M Synthetic Im- ages Beat Generic ImageNet Pre-training on Indoor Segmen- tation? In International Conference on Computer Vision (ICCV), 2017.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments SceneNet RGB-D: Can 5M Synthetic Im- ages Beat Generic ImageNet Pre-training on Indoor Segmen- tation? In International Conference on Computer Vision (ICCV), 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.203129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27afbf74-0fa0-42e5-be26-911d5d403f6a · outbound

This paper cites Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.189720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4533f1bf-e7c8-4819-92ce-c44929f9ca14 · outbound

This paper cites Indoor Segmentation and Support Inference from RGBD Images.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Indoor Segmentation and Support Inference from RGBD Images

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.174763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee1932cd-36da-4a6f-a383-682c88964888 · outbound

This paper cites KinectFusion: Real-Time Dense Surface Mapping and Track- ing.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments KinectFusion: Real-Time Dense Surface Mapping and Track- ing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.161475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a432225-3f15-47bc-b19c-f2b602e2b7e2 · outbound

This paper cites Real-time 3D Reconstruction at Scale using V oxel Hashing.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Real-time 3D Reconstruction at Scale using V oxel Hashing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.144233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 453fad63-d5fd-48b9-9d52-2e647fcbcb63 · outbound

This paper cites PointNet: Deep learning on point sets for 3D classiﬁ- cation and segmentation.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments PointNet: Deep learning on point sets for 3D classiﬁ- cation and segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.124090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f02fba4-9d7e-4b3b-8a30-8b4f629ac025 · outbound

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

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.106501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16a04d95-f868-467c-9258-9d7e3270ea25 · outbound

This paper cites Fully-convolutional point networks for large-scale point clouds.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Fully-convolutional point networks for large-scale point clouds

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.090312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca3cf203-8e98-42d8-b5e4-6c1da4ea4117 · outbound

This paper cites Fast point feature histograms (FPFH) for 3D registration.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Fast point feature histograms (FPFH) for 3D registration

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.069090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9d821ff-4b31-4486-a37c-5133151f6768 · outbound

This paper cites 3D is here: Point Cloud Library (PCL).

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments 3D is here: Point Cloud Library (PCL)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.051576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f97d09c-af80-41d9-8142-39cc60a561f9 · outbound

This paper cites SLAM++: Simultaneous Localisation and Mapping at the Level of Objects.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments SLAM++: Simultaneous Localisation and Mapping at the Level of Objects

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.033736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 541283d4-f96c-4b9d-809c-ccc678d81b7d · outbound

This paper cites SUN RGB-D: A RGB-D scene understanding benchmark suite.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments SUN RGB-D: A RGB-D scene understanding benchmark suite

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:20.012717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 435c1b84-c0a0-4326-a935-aceff636d2be · outbound

This paper cites Semantic Scene Completion from a Single Depth Image.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Semantic Scene Completion from a Single Depth Image

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.992154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f51ac64-e2f0-4bd0-8721-d8f7cd7a50c7 · outbound

This paper cites Unique Signatures of Histograms for Local Surface Descrip- tion.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Unique Signatures of Histograms for Local Surface Descrip- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.955755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8eb9e4a8-6e9c-4937-9ada-7d53c33afd46 · outbound

This paper cites Learning to navigate the energy landscape.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Learning to navigate the energy landscape

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.930808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01bf2b03-f0be-47be-9861-2e3fa63820c5 · outbound

This paper cites SemanticPaint: Interactive 3D Labeling and Learning at Your Fingertips.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments SemanticPaint: Interactive 3D Labeling and Learning at Your Fingertips

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.904763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7c93c1a-3447-4920-8f2f-d5c70f33ec08 · outbound

This paper cites Real-Time Fully Incremental Scene Understanding on Mobile Platforms.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Real-Time Fully Incremental Scene Understanding on Mobile Platforms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.885065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e13a8848-7651-4625-ae64-a2ab241867dc · outbound

This paper cites ElasticFusion: Dense SLAM Without A Pose Graph.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments ElasticFusion: Dense SLAM Without A Pose Graph

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.867245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06da75f3-53cf-447e-b3bc-8268f6d15d97 · outbound

This paper cites 3DMatch: Learn- ing Local Geometric Descriptors from RGB-D Reconstruc- tions.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments 3DMatch: Learn- ing Local Geometric Descriptors from RGB-D Reconstruc- tions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.841798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c913471e-1bcd-41b5-8773-80c8dd1ebf67 · outbound

This paper cites Dataset Scanning Interface We tailored a mobile app running on Google Tango with pre-annotation functionality as a scan- ning interface (see Figure 9).

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Dataset Scanning Interface We tailored a mobile app running on Google Tango with pre-annotation functionality as a scan- ning interface (see Figure 9)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.821160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fe0756f-b7f0-42e4-8640-291238136451 · outbound

This paper cites When an object is selected in the re-scan (see green dot) its instance segmentation from the reference scan is automatically segmented.

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments When an object is selected in the re-scan (see green dot) its instance segmentation from the reference scan is automatically segmented

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:00:19.798617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.