Paper Citation Record · LEDGER

Globally optimal registration of noisy point clouds

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.08162.

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

pith.paper-citation-record.v1
1908.08162 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:51:08.938155Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

45 of 45 outbound references displayed

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verified fuzzy41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3be9a18a-0b55-40be-b0be-223d563af8f6 · outbound

This paper cites 4-points congruent sets for robust pairwise surface registration.

Globally optimal registration of noisy point clouds 4-points congruent sets for robust pairwise surface registration

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.516783Z

Source-reported events for the cited work

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Observation 2916ca53-2f27-4fc4-bdc5-e00cf8bcd69b · outbound

This paper cites Pose Guided RGBD Feature Learning for 3D Object Pose Estimation.

Globally optimal registration of noisy point clouds Pose Guided RGBD Feature Learning for 3D Object Pose Estimation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.504949Z

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Observation c66cbb0c-7f87-4940-a5f0-f11a4de30f6e · outbound

This paper cites Besl and Neil D.

Globally optimal registration of noisy point clouds Besl and Neil D

Reference 3

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Observation e2df371a-255d-47f8-a8dd-4c2a2a69ae2a · outbound

This paper cites Billings, Emad M.

Globally optimal registration of noisy point clouds Billings, Emad M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.492517Z

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Observation c6d18e1f-8aa9-4b5b-934c-efab1a2a441d · outbound

This paper cites Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm.

Globally optimal registration of noisy point clouds Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.480085Z

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Observation 83c30ebc-2e3e-409e-ba6f-74b86a821d4f · outbound

This paper cites 3D object retrieval using many-to-many matching of curve skeletons.

Globally optimal registration of noisy point clouds 3D object retrieval using many-to-many matching of curve skeletons

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.466951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc58229e-93c0-4bae-8294-4bac3936ab29 · outbound

This paper cites Global inverse kinematics via mixed-integer convex optimiza- tion.

Globally optimal registration of noisy point clouds Global inverse kinematics via mixed-integer convex optimiza- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.453645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5996180d-dd71-468b-ae9a-be8f059eedce · outbound

This paper cites Au- tomatic registration of aerial imagery with untextured 3d lidar models.

Globally optimal registration of noisy point clouds Au- tomatic registration of aerial imagery with untextured 3d lidar models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.442289Z

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Observation 8e6f4e41-dfa1-4864-8781-54e24ed0bae7 · outbound

This paper cites Robust generalized total least squares iterative closest point registration.

Globally optimal registration of noisy point clouds Robust generalized total least squares iterative closest point registration

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.429133Z

Source-reported events for the cited work

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Observation 74cc9b8e-3f5b-42a0-8e2d-8c6d85755198 · outbound

This paper cites Robust registration of 2D and 3D point sets.

Globally optimal registration of noisy point clouds Robust registration of 2D and 3D point sets

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.415838Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9d0a014-6bda-47ab-bea6-fe0988250e71 · outbound

This paper cites Robust global registration.

Globally optimal registration of noisy point clouds Robust global registration

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.403083Z

Source-reported events for the cited work

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Observation f7869a76-9401-4047-a6d7-b1a1f28ec0aa · outbound

This paper cites Monte carlo pose estimation with quaternion kernels and the distribution.

Globally optimal registration of noisy point clouds Monte carlo pose estimation with quaternion kernels and the distribution

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.390533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e95ae637-a320-4d8f-8c3b-2187de45ecfa · outbound

This paper cites Three- dimensional registration using range and intensity infor- mation, 1994.

Globally optimal registration of noisy point clouds Three- dimensional registration using range and intensity infor- mation, 1994

Reference 13

Resolution: verified exact; doi, observed 2026-08-14T11:51:08.983718Z

Source-reported events for the cited work

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Observation e49f0081-0fe0-4061-99f2-93715d15aa84 · outbound

This paper cites Sancta simplicitas-on the efﬁciency and achievable results of slam using icp-based incremental registration.

Globally optimal registration of noisy point clouds Sancta simplicitas-on the efﬁciency and achievable results of slam using icp-based incremental registration

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.378506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a81e7f2-bfdf-4e77-add9-dc70895c4d96 · outbound

This paper cites Convex relaxations of SE(2) and SE(3) for visual pose estimation.

Globally optimal registration of noisy point clouds Convex relaxations of SE(2) and SE(3) for visual pose estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.367210Z

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Observation 943714b8-5d73-4e9f-a271-c4dd4db59b97 · outbound

This paper cites Globally Optimal Object Pose Estimation in Point Clouds with Mixed-Integer Programming.

Globally optimal registration of noisy point clouds Globally Optimal Object Pose Estimation in Point Clouds with Mixed-Integer Programming

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.355069Z

Source-reported events for the cited work

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Observation e8177b5b-2585-4a8f-997e-fee62f2e3a7e · outbound

This paper cites PoseNet: A convolutional network for real-time 6-DOF camera relocalization.

Globally optimal registration of noisy point clouds PoseNet: A convolutional network for real-time 6-DOF camera relocalization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.342706Z

Source-reported events for the cited work

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Observation 6cc30c45-cfa0-439d-91fc-a7f13446fe75 · outbound

This paper cites The digital michelangelo project: 3d scanning of large statues.

Globally optimal registration of noisy point clouds The digital michelangelo project: 3d scanning of large statues

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.330070Z

Source-reported events for the cited work

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Observation 8e01cd83-f5e2-490f-8e31-1e01d7a58503 · outbound

This paper cites Registra- tion of range data using a hybrid simulated annealing and iterative closest point algorithm.

Globally optimal registration of noisy point clouds Registra- tion of range data using a hybrid simulated annealing and iterative closest point algorithm

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.315908Z

Source-reported events for the cited work

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Observation 42e2ad53-638f-4947-a37a-634f60e8345e · outbound

This paper cites Robust registration for computer-integrated orthopedic surgery: laboratory vali- dation and clinical experience.

Globally optimal registration of noisy point clouds Robust registration for computer-integrated orthopedic surgery: laboratory vali- dation and clinical experience

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.303036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 021d9142-ed3b-4e3a-84ea-15021439e0d0 · outbound

This paper cites Fully automatic registration of 3D point clouds.

Globally optimal registration of noisy point clouds Fully automatic registration of 3D point clouds

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.290121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b472783-c0e8-42e8-8004-6dd3c4b8db37 · outbound

This paper cites Point registration via efﬁ- cient convex relaxation.

Globally optimal registration of noisy point clouds Point registration via efﬁ- cient convex relaxation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.278514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe79d8c0-0417-4120-a804-7375bad2d1e2 · outbound

This paper cites Computability of global solutions to factorable nonconvex programs: Part iconvex underes- timating problems.

Globally optimal registration of noisy point clouds Computability of global solutions to factorable nonconvex programs: Part iconvex underes- timating problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.265705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae93ee40-d840-4933-a1ef-362b271c6111 · outbound

This paper cites Contextual classiﬁcation with functional max-margin markov networks.

Globally optimal registration of noisy point clouds Contextual classiﬁcation with functional max-margin markov networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.252988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12ce5f22-a53f-4315-8017-886e5a9404db · outbound

This paper cites Kinectfusion: Real-time dense surface map- ping and tracking.

Globally optimal registration of noisy point clouds Kinectfusion: Real-time dense surface map- ping and tracking

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.241302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8122980e-7fc7-474d-a3c6-0e00f4f81706 · outbound

This paper cites Inc.,gurobi optimizer reference manual, 2015.

Globally optimal registration of noisy point clouds Inc.,gurobi optimizer reference manual, 2015

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.229131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 753e1098-7970-4080-b764-8dcf4ee05b67 · outbound

This paper cites One point isometric matching with the heat kernel.

Globally optimal registration of noisy point clouds One point isometric matching with the heat kernel

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.216780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e3d1825-48a3-4743-9cf1-a3de73b0d2cf · outbound

This paper cites Outlier robust ICP for minimizing fractional RMSD.

Globally optimal registration of noisy point clouds Outlier robust ICP for minimizing fractional RMSD

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.202719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 107438c8-91b2-4984-a67b-9794f92b8234 · outbound

This paper cites A certiﬁably correct algorithm for synchronization over the special Euclidean group.

Globally optimal registration of noisy point clouds A certiﬁably correct algorithm for synchronization over the special Euclidean group

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.188704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51f445ab-75d9-412b-9653-22802648ad1c · outbound

This paper cites Efﬁcient Vari- ants of the ICP Algorithm.

Globally optimal registration of noisy point clouds Efﬁcient Vari- ants of the ICP Algorithm

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.175930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1f3635f-26c8-41c8-82b6-856b7bd8af2d · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

Globally optimal registration of noisy point clouds Fast point feature histograms (fpfh) for 3d registration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.163701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9cc56242-c00e-40c7-bf3b-7ca6dff348ab · outbound

This paper cites Generalized-ICP.

Globally optimal registration of noisy point clouds Generalized-ICP

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.151524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a68be58-c7c3-450a-9ed0-caa766832c64 · outbound

This paper cites Image registration using genetic algorithms.

Globally optimal registration of noisy point clouds Image registration using genetic algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.140296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1796d78-6b4d-4299-bdb0-50dd8ca30536 · outbound

This paper cites Techniques for fast and accurate intrasurgical registra- tion.

Globally optimal registration of noisy point clouds Techniques for fast and accurate intrasurgical registra- tion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.128521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a61791b9-b3ba-40fa-ba5d-36e1fc26d06e · outbound

This paper cites Multiple start branch and prune ﬁltering algorithm for nonconvex optimization.

Globally optimal registration of noisy point clouds Multiple start branch and prune ﬁltering algorithm for nonconvex optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.116577Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 886986f9-5c5d-4c62-b7fb-f37b41589c9b · outbound

This paper cites Sparse point registration.

Globally optimal registration of noisy point clouds Sparse point registration

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.103685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c9bfa56-dd87-4d90-adfe-387bbfcc365d · outbound

This paper cites Real- time articulated hand pose estimation using semi- supervised transductive regression forests.

Globally optimal registration of noisy point clouds Real- time articulated hand pose estimation using semi- supervised transductive regression forests

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.091870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56a35ddc-0fb1-4291-a26c-5ce9305807dd · outbound

This paper cites A correlation-based approach to robust point set registration.

Globally optimal registration of noisy point clouds A correlation-based approach to robust point set registration

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.078816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 395f8666-454f-4551-9d2d-a43ca7f3a0cd · outbound

This paper cites The Stanford 3D Scanning Repository.

Globally optimal registration of noisy point clouds The Stanford 3D Scanning Repository

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.066020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3e42196-9844-4265-bf9b-3470d5e87df5 · outbound

This paper cites Discriminative optimization: theory and applications to point cloud registration.

Globally optimal registration of noisy point clouds Discriminative optimization: theory and applications to point cloud registration

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.053830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78a3e8b7-3de8-418e-ba11-1328d0780f91 · outbound

This paper cites Objectnet3D: A large scale database for 3d object recognition.

Globally optimal registration of noisy point clouds Objectnet3D: A large scale database for 3d object recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.041330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88b33986-ee6e-454d-b08a-535938991897 · outbound

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

Globally optimal registration of noisy point clouds PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T11:51:08.926052Z

Source-reported events for the cited work

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Observation 44bde67a-6466-4f4c-a871-9810e9589d15 · outbound

This paper cites Go- ICP: Solving 3D Registration Efﬁciently and Globally Optimally.

Globally optimal registration of noisy point clouds Go- ICP: Solving 3D Registration Efﬁciently and Globally Optimally

Reference 43

Resolution: malformed identifier; no resolver link, observed 2026-08-14T11:51:08.930201Z

Source-reported events for the cited work

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Observation f07da151-36cf-49a5-8628-2b919c2797cb · outbound

This paper cites A maximum feasible sub- system for globally optimal 3d point cloud registration.

Globally optimal registration of noisy point clouds A maximum feasible sub- system for globally optimal 3d point cloud registration

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.028399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b77b92e7-df94-4663-a8fd-a2eb92c24857 · outbound

This paper cites Dense scene recon- struction with points of interest.

Globally optimal registration of noisy point clouds Dense scene recon- struction with points of interest

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:51:09.015928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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