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Paper Citation Record · LEDGER

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.26583.

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

pith.paper-citation-record.v1
2607.26583 v1

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measured 24 of 24 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T12:55:51.404336Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

24 of 24 outbound references displayed

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Outbound references

Observation 5bb906ba-8f49-487c-9ed3-54bb35b21b0d · outbound

This paper cites Multiscale feature line extraction from raw point clouds based on local surface vari- ation and anisotropic contraction,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Multiscale feature line extraction from raw point clouds based on local surface vari- ation and anisotropic contraction,

Reference 1

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Observation dd2dbc0f-7582-4aa6-9b06-f81c984af3e5 · outbound

This paper cites A feature extraction approach over workpiece point clouds for robotic welding.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning A feature extraction approach over workpiece point clouds for robotic welding

Reference 2

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Observation 1257dbc6-7ecf-47ad-85a4-02e7ef9c0c6e · outbound

This paper cites Low-latency visual-based high- quality 3-D reconstruction using point cloud optimization,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Low-latency visual-based high- quality 3-D reconstruction using point cloud optimization,

Reference 3

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Observation 742fdd73-bdee-4014-bfcc-074dedc70809 · outbound

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

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning A method for registration of 3-D shapes,

Reference 4

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Observation a183cd31-e481-4379-8e21-219f36284268 · outbound

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

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Fast point feature histograms (FPFH) for 3D registration,

Reference 5

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Observation 35442941-60c1-40a5-81a9-d50437418dcd · outbound

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

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning RPM-net: Robust point matching using learned features,

Reference 6

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Observation d0321e23-313a-4a8b-a7e5-abec49a92c6c · outbound

This paper cites Pointnetlk: Robust efficient point cloud registration using pointnet,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Pointnetlk: Robust efficient point cloud registration using pointnet,

Reference 7

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Observation 20204fc8-cc9c-4cf4-b950-8e486fbfbd90 · outbound

This paper cites Using multi-level consistency learning for partial-to-partial point cloud registration,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Using multi-level consistency learning for partial-to-partial point cloud registration,

Reference 8

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Observation bc9c54ca-119b-422c-b912-b549490adb76 · outbound

This paper cites Vision meets robotics: The KITTI dataset,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Vision meets robotics: The KITTI dataset,

Reference 9

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Observation ecb4d07d-24f7-4264-b58c-d3b222ef3747 · outbound

This paper cites A generalized full-to-partial registration framework of 3d point sets for computer-aided or- thopedic surgery,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning A generalized full-to-partial registration framework of 3d point sets for computer-aided or- thopedic surgery,

Reference 10

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Observation e69efb8e-3867-430a-aa3f-4cd825c4abc8 · outbound

This paper cites PGPNet: A Novel Iterative Partial- Global-Partial Point Cloud Registration Method,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning PGPNet: A Novel Iterative Partial- Global-Partial Point Cloud Registration Method,

Reference 11

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Observation a8dc4e18-bb06-4975-a135-5deafff44484 · outbound

This paper cites iLSPR: A Learning-based Scene Point- cloud Registration method for robotic spatial awareness in intelligent manufacturing,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning iLSPR: A Learning-based Scene Point- cloud Registration method for robotic spatial awareness in intelligent manufacturing,

Reference 12

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Observation 75da2c01-e172-4bed-aa9e-384565f0a045 · outbound

This paper cites Fast r-cnn,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Fast r-cnn,

Reference 13

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Observation 654d5f45-f32f-47cd-a50e-bcba1c9bdf5a · outbound

This paper cites Cascade R-CNN: High quality object detection and instance segmentation,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Cascade R-CNN: High quality object detection and instance segmentation,

Reference 14

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Observation d0b20adc-b580-4528-aea8-c4780b950856 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Facenet: A unified embedding for face recognition and clustering,

Reference 15

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Observation 8f396b84-0b62-4522-97dd-4bdf19d557df · outbound

This paper cites Small_GICP: Efficient and Parallel Algorithms for Point Cloud Registration,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Small_GICP: Efficient and Parallel Algorithms for Point Cloud Registration,

Reference 16

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Observation b5b4f7c4-8c7a-47a9-9e37-bf33fd4eba6a · outbound

This paper cites Deep closest point: Learning representations for point cloud registration,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Deep closest point: Learning representations for point cloud registration,

Reference 17

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Observation 16833f9d-7829-45ef-8fe5-8bd920f58a5c · outbound

This paper cites MFGNet: Multibranch feature generation networks for few-shot remote sensing scene classification,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning MFGNet: Multibranch feature generation networks for few-shot remote sensing scene classification,

Reference 18

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Observation 9aa7b873-f977-4f61-a432-784ceaecd12c · outbound

This paper cites Deep weighted consensus dense correspondence confidence maps for 3D shape registration,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Deep weighted consensus dense correspondence confidence maps for 3D shape registration,

Reference 19

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Observation d308d3c1-3483-4a82-9d34-4417ef8c12eb · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Dynamic graph cnn for learning on point clouds,

Reference 20

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Observation 4edace89-2e98-43a3-94d1-dd70bf59c05a · outbound

This paper cites Pointnetlk revisited.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Pointnetlk revisited

Reference 21

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Observation 304e1929-2ff4-48e5-870f-2ce8a527edcc · outbound

This paper cites RORNet: Partial- to-partial registration network with reliable overlapping representations,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning RORNet: Partial- to-partial registration network with reliable overlapping representations,

Reference 22

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Observation 862bb017-4c6a-4615-a302-01491f56b6b1 · outbound

This paper cites 3D Shapenets: A Deep Representation for Volumetric Shapes,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning 3D Shapenets: A Deep Representation for Volumetric Shapes,

Reference 23

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Observation 2dbf5b5b-f936-42dc-8ab1-974aa7369563 · outbound

This paper cites Measurement of areas on a sphere using Fibonacci and latitude–longitude lattices,.

R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning Measurement of areas on a sphere using Fibonacci and latitude–longitude lattices,

Reference 24

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Pith citing papers

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