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Paper Citation Record · LEDGER

Registration of 3D Point Sets Using Exponential-based Similarity Matrix

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.04540.

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

pith.paper-citation-record.v1
2505.04540 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:41.560672Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy55
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aaca42b-644e-4a62-a192-76f7407c2c08 · outbound

This paper cites Least-Squares Fitting of Two 3-D Point Sets,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Least-Squares Fitting of Two 3-D Point Sets,

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67669d33-9360-4d1b-9c94-3df25a486f9f · outbound

This paper cites A Review of SLAM Techniques and Security in Autonomous Driving,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A Review of SLAM Techniques and Security in Autonomous Driving,

Reference 2

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raw_fallback, observed 2026-08-15T23:32:42.347640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8998de2d-494d-492f-9a7c-b7fad8078d04 · outbound

This paper cites A method for registration of 3-D shapes,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A method for registration of 3-D shapes,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d072c158-cde1-422c-8599-f746f9d1aec2 · outbound

This paper cites ”Lidar-Monocular Visual Odometry with Genetic Al- gorithm for Parameter Optimization.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Lidar-Monocular Visual Odometry with Genetic Al- gorithm for Parameter Optimization

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 28899571-9335-4169-8990-455a32ffa9c5 · outbound

This paper cites MCC-EKF for Autonomous Car Security,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix MCC-EKF for Autonomous Car Security,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 194b297c-5013-457d-85bf-1f8fb585bff4 · outbound

This paper cites Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4a906b39-c8be-420e-8be1-5330350d29f7 · outbound

This paper cites Securing a UA V Using Individual Characteristics From an EEG Signal,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Securing a UA V Using Individual Characteristics From an EEG Signal,

Reference 7

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raw_fallback, observed 2026-08-15T23:32:42.283155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 387c380a-67be-4bcf-b0e4-d0cb88d16160 · outbound

This paper cites Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration,

Reference 8

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raw_fallback, observed 2026-08-15T23:32:42.270284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a3f2e954-4d38-4353-8f09-7671723c596d · outbound

This paper cites ”The Stanford 3D Scanning Repository.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”The Stanford 3D Scanning Repository

Reference 9

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raw_fallback, observed 2026-08-15T23:32:42.257274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 78812cfd-ff92-44c1-b631-b0a7454430a5 · outbound

This paper cites Go-ICP: A globally optimal solution to 3D ICP point-set registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Go-ICP: A globally optimal solution to 3D ICP point-set registration,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.244931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.357217Z digest=sha256:1a2b3ff8b51c614e7caabac3190e69d972150ad592d8c3f855842fb7b4498bd3

Observation 7a849f6c-4eb5-43b0-92c0-9172b759080e · outbound

This paper cites ”Correntropy based scale ICP algorithm for robust point set registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Correntropy based scale ICP algorithm for robust point set registration

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 31d7909b-b581-4ddf-bf1d-5ccc29f6a9e0 · outbound

This paper cites Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 47306dba-ed37-49de-b620-ea30728c7b8a · outbound

This paper cites Precise point set registration using point-to-plane distance and correntropy for LiDAR based local- ization,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Precise point set registration using point-to-plane distance and correntropy for LiDAR based local- ization,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 43500c40-edc4-4a86-b8b7-0a82bbda2432 · outbound

This paper cites Generalized-ICP,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Generalized-ICP,

Reference 14

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.193066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c362bf2a-7610-4a63-b872-f05f7ef699f2 · outbound

This paper cites The phase correlation image align- ment method,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The phase correlation image align- ment method,

Reference 15

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.180236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ee6f1008-4cfb-4d91-8b49-f618a707e7f9 · outbound

This paper cites Distinctive image features from scale-invariant key- points,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Distinctive image features from scale-invariant key- points,

Reference 16

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.167244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a90e655f-f186-47bf-b6e2-911841f378a8 · outbound

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

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast point feature histograms (FPFH) for 3D registration,

Reference 17

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.154119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6b715a8d-e6d2-4905-be99-78a036322484 · outbound

This paper cites Fast global registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast global registration,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3ef94c74-9627-4c06-8e01-96457bf2b693 · outbound

This paper cites Fast Point Feature Histograms (FPFH) for 3D registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast Point Feature Histograms (FPFH) for 3D registration,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.115443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e89c8e5f-4a09-4f9b-ba92-e7c024272cf4 · outbound

This paper cites SURF: Speeded Up Robust Features,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix SURF: Speeded Up Robust Features,

Reference 21

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.128733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7ee75302-376a-407a-8011-0fdc7f3489fa · outbound

This paper cites Effi- cient subpixel image registration algorithms,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Effi- cient subpixel image registration algorithms,

Reference 22

Resolution
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raw_fallback, observed 2026-08-15T23:32:42.102639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 81702170-f13d-407b-9b05-22c148b44516 · outbound

This paper cites Image registration methods: a survey,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Image registration methods: a survey,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.089453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6e8babcc-2236-46a5-aadf-9a6040fc3924 · outbound

This paper cites Position, rotation, and scale invariant optical correlation,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Position, rotation, and scale invariant optical correlation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.076746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b42c3bc6-e3b3-43aa-8b55-0ef7e028affa · outbound

This paper cites The normal distributions transform: a new approach to laser scan matching,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The normal distributions transform: a new approach to laser scan matching,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.063795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 44bd3d25-2302-41df-9a68-a6168c57b18d · outbound

This paper cites Information-Theoretic Learning,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Information-Theoretic Learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.050750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ec6cccb6-8cd9-4cb1-881d-be993cad2a05 · outbound

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

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust registration of 2D and 3D point sets,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.037148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.423919Z digest=sha256:c36cbcd3c0de76c9e8478eb7e6480670c69b4df46a68b60f8c140b0928c2b86f

Observation d2652efd-0988-461d-9540-b4bd6c7e641d · outbound

This paper cites ”Fast Global Registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Fast Global Registration

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.024580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.427878Z digest=sha256:a7a64de39365ee027be5e78f4a2fc4d59f9eefab99b36bb45b6469537ecad842

Observation d575d6f8-7af0-4a0e-8889-f075614c09aa · outbound

This paper cites Deep Global Regis- tration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Global Regis- tration,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:42.011309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.432126Z digest=sha256:487b52694826c8a2f8a948dcb1c5e3d4ce53e3c64500515da4aee96c013fef56

Observation 12b0f68e-beeb-42b4-b3c7-735268ef5cc1 · outbound

This paper cites TEASER: Fast and Certifiable Point Cloud Registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix TEASER: Fast and Certifiable Point Cloud Registration

Reference 30

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unresolved
no resolver link, observed 2026-08-15T23:32:41.436092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:41.436092Z digest=sha256:bed82378adfe2a8f1fc03f5cc590da6827e1ca659e5d8ff754dd3db88b5a89b0

Observation 02a83111-d123-46c8-86c2-7f00518e2be6 · outbound

This paper cites RPM-Net: Robust Point Matching Using Learned Features,“.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix RPM-Net: Robust Point Matching Using Learned Features,“

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.998134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6c8eb38e-da06-462f-90c2-107e07edf6a2 · outbound

This paper cites Object modeling by registration of mul- tiple range images,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Object modeling by registration of mul- tiple range images,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.985596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.444539Z digest=sha256:b0d95b05941d6815f9a321d4903cf1cfd9171b3e59a30023acec775eb112af42

Observation 9cbb87e0-ef63-49a7-816b-f7bfeca5931a · outbound

This paper cites Efficient variants of the ICP algorithm,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Efficient variants of the ICP algorithm,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.973044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.448491Z digest=sha256:a6387bac635c9559696f1aa7d6bda1163324fa1505a5aebc2a5db06812f494f7

Observation ffec3c48-41e8-4cac-af8b-720cc73ad22a · outbound

This paper cites Fast and Robust Iterative Closest Point.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast and Robust Iterative Closest Point

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:32:41.629487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.452318Z digest=sha256:cc526471d2468e4c091d8a5b78b861298adb6cee28d008d4b79b3d07da716539

Observation 2fa5ca4a-9aaf-4a26-be2a-c6e8e17ec200 · outbound

This paper cites The iterative closest point registration algorithm based on the normal distribution transformation,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The iterative closest point registration algorithm based on the normal distribution transformation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.960675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.456556Z digest=sha256:db8de614cfde190b9cce7ce6afb0c3c563dc0e9ec7db9248275582a4d4a6489b

Observation b9bebd26-d8fc-450d-bdc6-090501f8e8c1 · outbound

This paper cites A review of point cloud regis- tration algorithms for laser scanners: Applications in large-scale aircraft measurement,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A review of point cloud regis- tration algorithms for laser scanners: Applications in large-scale aircraft measurement,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.947244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.460351Z digest=sha256:0a3134fc9a93bdf0b560d06b4c0c7bd27e583c9f08978213a39c00d8a22b1b90

Observation 3c0257e6-3a75-4811-8ebf-bbab429c628c · outbound

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

Registration of 3D Point Sets Using Exponential-based Similarity Matrix 3D is here: Point Cloud Library (PCL),

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.934076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.464627Z digest=sha256:cd14019f579efc0361ff8bdec0c3fe5247b056844ff782782b025bc0e6f2589f

Observation 28a4dd5e-6567-4ed8-a28f-8cc8271029f0 · outbound

This paper cites Generalized-ICP,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Generalized-ICP,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.921343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.468691Z digest=sha256:ee9e2a6b41b2da5805c6b7f3591855de830c76671eb22c5acd1140f7b3ebb735

Observation fd8a50e5-d943-442b-91a9-c151264b02f8 · outbound

This paper cites Multi-scale EM-ICP: A fast and robust approach for surface registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Multi-scale EM-ICP: A fast and robust approach for surface registration,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.908653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.477035Z digest=sha256:ae7182ccab33240bf086b64743896d4b4724003c20e4145953ebeb6a4ba23169

Observation 48c474e7-90f9-4806-9171-59b7cb15ca6e · outbound

This paper cites Semantic-ICP: Iterative Closest Point for Non-rigid Multi-label Point Cloud Registra- tion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Semantic-ICP: Iterative Closest Point for Non-rigid Multi-label Point Cloud Registra- tion,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.895996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.480935Z digest=sha256:88f1566a09afe2c07d41913d0b47ab350e6327bae7f35804f3e916cfe76525d9

Observation a4d05367-8e41-405a-b469-6035ee989d5c · outbound

This paper cites Robust affine registration method using line/surface normals and correspondence,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust affine registration method using line/surface normals and correspondence,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.883172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.484956Z digest=sha256:b2b9eb07c73a36f91e1e6d6810104111ad47480a80346f81f23a4ef3ad459f0e

Observation 6513d825-eb0b-4f93-a180-1bf1f7d6726f · outbound

This paper cites KSS-ICP: Point Cloud Registration based on Kendall Shape Space,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix KSS-ICP: Point Cloud Registration based on Kendall Shape Space,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.870715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.488885Z digest=sha256:80eab586fb6e6fac08d8f46e68a73fc0b85a737701a970fddf7eeae50a7b7199

Observation d8028a0d-edb4-4931-94ed-265412306af1 · outbound

This paper cites DICP: Doppler Iterative Closest Point Algo- rithm,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix DICP: Doppler Iterative Closest Point Algo- rithm,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.857968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.492960Z digest=sha256:8a2adac19107ce76654b6266a06e950b3afbd55b3cc29f88a062b8391beff4af

Observation 46e57015-57e4-4d72-9f79-9b00588b8657 · outbound

This paper cites Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T23:32:41.497140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:41.497140Z digest=sha256:c4a77dc2e839c72bb5dcc6e148a64672fb56387cc72d8762729ecde79e526e51

Observation 6bb8d1ca-d460-4d15-9fd8-c66578a741da · outbound

This paper cites RPM-Net: Robust point matching using learned features,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix RPM-Net: Robust point matching using learned features,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.845117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.501498Z digest=sha256:a18ef7fe99cad88f8dff1e7edbf6f7880277175482996ab3b188950db8e766c1

Observation 029d2c38-821a-43b4-b465-ffd3b8650863 · outbound

This paper cites Deep Closest Point: Learning rep- resentations for point cloud registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Closest Point: Learning rep- resentations for point cloud registration,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.832398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.505258Z digest=sha256:78753dcae5640bcc8b758da843314237d94737e5d8faf96f0115ff26276d045d

Observation 92bbb7a2-3d15-4b44-8946-200edc1ffb1c · outbound

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

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.819432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.509316Z digest=sha256:6fffd0c712a23eb938548720e64a0e8c1ff7ec5ad6d99ad92406e46fd5724263

Observation e1da95ee-f28b-4cc8-a780-91048d4f083f · outbound

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

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.806479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.513167Z digest=sha256:5be415f2aea5773629643a2c5bcf90bce40b699e8a63867542ff2366cc96196f

Observation e8053a06-e22b-4613-8b7e-bc8409a696ec · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Dynamic Graph CNN for Learning on Point Clouds,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.793423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.517033Z digest=sha256:06d1efe3ca7361e8563e825e4060fbbca692d78ec0c43b19d0a8028735125a7d

Observation 805b75ec-b648-4950-ac27-1348b601a249 · outbound

This paper cites PointNetLK: Robust and efficient point cloud registration using Point- Net,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNetLK: Robust and efficient point cloud registration using Point- Net,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.780397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.521126Z digest=sha256:e8746c9834f3178bdacfb586ea0c02e21564ebaaced32eeb2d03c414d0526a60

Observation 2f7f56d2-6633-4a43-93e6-f7e79fcb1d8b · outbound

This paper cites The normal distributions transform: A new approach to laser scan matching,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The normal distributions transform: A new approach to laser scan matching,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.767404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.525043Z digest=sha256:5dc2e65e78f15422767747d31a8a244d350e2f46bfbdfa3c2ac4d30592c1b218

Observation ab97295a-df28-4872-ac2d-6a3a2456073c · outbound

This paper cites PRNet: Self-supervised learning for partial-to-partial registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PRNet: Self-supervised learning for partial-to-partial registration,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.754398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.529134Z digest=sha256:0401908e50adf04795aae694c86f627f423cdf453abfc3c042ab566ae423a03f

Observation a7fc17ca-9980-4611-8457-ecb4e2197554 · outbound

This paper cites A comprehensive survey on point cloud registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A comprehensive survey on point cloud registration

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T23:32:41.532968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:41.532968Z digest=sha256:e5d88838d159044d341148d606b68159c533a251f001ab5a709c75bfa1cd476c

Observation e70983fe-91ac-4764-9322-dbd7d4f9f0c6 · outbound

This paper cites A robust algorithm for point set registration using mixture of Gaussians,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A robust algorithm for point set registration using mixture of Gaussians,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.740701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.536773Z digest=sha256:27d759a50cd0be6f2b4e8dad58a3633628b5f4c218cdc7047fc38c7a9c99a4e1

Observation 8ebfe9e2-031f-42fb-9d13-5c943b54ece6 · outbound

This paper cites DeepGMR: Learning Latent Gaussian Mixture Models for Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix DeepGMR: Learning Latent Gaussian Mixture Models for Registration,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.727086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.540812Z digest=sha256:4fd62878ccfd899da1e03f8a7c2651a4e2a1fe58ef0af841fd2a97c085e4aa98

Observation c6f7f639-2eb1-4841-ba43-22f5c0107353 · outbound

This paper cites 3D ShapeNets: A deep representation for volumetric shapes,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix 3D ShapeNets: A deep representation for volumetric shapes,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.712300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.544661Z digest=sha256:2e8703e6b06d15faab4da2913c5b2eaf59ad61a0583303ec4ce49670cd5cf285

Observation c2c84e46-ea7a-44b7-8019-a1c44577538b · outbound

This paper cites Correntropy Based Scale ICP Algorithm for Robust Point Set Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Correntropy Based Scale ICP Algorithm for Robust Point Set Registration,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.698568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.548612Z digest=sha256:58cec8d90386ea046b832736d528df860665b4294e6ae18900a66e5b1845f347

Observation b2d70a42-beed-4ade-bebd-336d210bea54 · outbound

This paper cites Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.685451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.552444Z digest=sha256:7885de820375a6b223fb825499207d09f7fefd1c19e465e34ad6f13b9a15bef7

Observation df12e501-8c03-4236-829a-83eb852c549d · outbound

This paper cites Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.671757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.556420Z digest=sha256:b3ce470a92e8c64fe0197a04e35a945801f70f01a690f7ac1d27606688b84db6

Observation 1ce27a74-3e3b-4273-8206-32a2d3298e7e · outbound

This paper cites KISS-Matcher: Fast and Robust Point Cloud Registration Revisited,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix KISS-Matcher: Fast and Robust Point Cloud Registration Revisited,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:41.658207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:32:41.560672Z digest=sha256:7ec4593b1338b80a826134e2b235662b344048680098e76908267401ed7e9f5e

Pith citing papers

No inbound Pith citation observations are available.