Paper Citation Record · LEDGER

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.14639.

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

pith.paper-citation-record.v1
2607.14639 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:36:10.695572Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f96f842-ed99-4995-a85f-2f086c914ffb · outbound

This paper cites 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:07.739372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96726df-510b-4722-9389-6fa2f39be9c7 · outbound

This paper cites CorrI2P: Deep image-to-point cloud registration via dense correspondence,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling CorrI2P: Deep image-to-point cloud registration via dense correspondence,

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-02T01:36:07.939228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084c330a-6712-41dd-bd9f-83e897eb6ec2 · outbound

This paper cites Cofii2p: Coarse-to-fine correspondences-based image to point cloud registration,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Cofii2p: Coarse-to-fine correspondences-based image to point cloud registration,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.101864Z

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Unavailable: canonical work link unavailable.

Observation 01f9d5c0-f666-4d12-b785-cc149f94e3bf · outbound

This paper cites 2d3d-matr: 2d-3d matching transformer for detection-free registration between im- ages and point clouds,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling 2d3d-matr: 2d-3d matching transformer for detection-free registration between im- ages and point clouds,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.212721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbedbbbe-1038-4545-a702-345aa016a7db · outbound

This paper cites DeepI2P: Image-to-point cloud registration via deep classification,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling DeepI2P: Image-to-point cloud registration via deep classification,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.291280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c296ccbb-4f86-4717-9ddc-7ce18ddf3547 · outbound

This paper cites LCCNet: LiDAR and camera self-calibration using cost volume network,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling LCCNet: LiDAR and camera self-calibration using cost volume network,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.365817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13e4363-2394-4b47-b99f-becd33a7ae02 · outbound

This paper cites FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.447398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3128676f-b47c-4b88-9190-bd1b4feeb90c · outbound

This paper cites Su- perglue: Learning feature matching with graph neural networks,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Su- perglue: Learning feature matching with graph neural networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.527234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f3214a-fc05-4a11-a1e5-e1785b1850dc · outbound

This paper cites LoFTR: Detector- free local feature matching with transformers,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling LoFTR: Detector- free local feature matching with transformers,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.608089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac155aa-2a96-47c7-a033-023230d80166 · outbound

This paper cites Lightglue: Local feature matching at light speed,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Lightglue: Local feature matching at light speed,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.706835Z

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Unavailable: canonical work link unavailable.

Observation fcb2b494-880e-4d1d-9ec5-2caee9cc70fc · outbound

This paper cites Xoftr: Cross-modal feature matching transformer,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Xoftr: Cross-modal feature matching transformer,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.782760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835262ee-7d54-4f5f-9bb9-60cc6ef78501 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.882972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff32738-78aa-4cd6-a528-1726b95bee88 · outbound

This paper cites Denoising diffusion probabilistic models,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Denoising diffusion probabilistic models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:08.980981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb4476c-f95e-4a2c-93ed-eb9884b6d834 · outbound

This paper cites Denoising Diffusion Implicit Models.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Denoising Diffusion Implicit Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.066786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ef8314-6577-4790-8cdc-0ff8b08cd15b · outbound

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

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Distinctive image features from scale-invariant key- points,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.150653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d325d3-77d0-4d15-8c01-b43a4b47e6d4 · outbound

This paper cites Surf: Speeded up robust features,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Surf: Speeded up robust features,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.232958Z

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Unavailable: canonical work link unavailable.

Observation 0e6a4f9c-f8f7-4233-a339-7bd626d46d71 · outbound

This paper cites ORB: An effi- cient alternative to SIFT or SURF,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling ORB: An effi- cient alternative to SIFT or SURF,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.328753Z

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Observation 3fcb39d0-1b86-4005-a812-a04012d85894 · outbound

This paper cites ORB-SLAM: A versatile and accurate monocular SLAM system,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling ORB-SLAM: A versatile and accurate monocular SLAM system,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.399385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 891772dc-9732-4b18-97ad-3bb812cb8619 · outbound

This paper cites General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.413331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e208c5b-969c-4dbe-8cd5-327fb329e29d · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Dust3r: Geometric 3d vision made easy,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.467670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c964e2-f6eb-47fe-b981-10b384f20ec0 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Vggt: Visual geometry grounded transformer,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.542764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d6f6cb-5bcd-4f7d-aeb3-b2e9e2e2b166 · outbound

This paper cites MapAnything: Universal Feed-Forward Metric 3D Reconstruction.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling MapAnything: Universal Feed-Forward Metric 3D Reconstruction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.620408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621cb3c5-3812-4599-a9dc-916f5b3d1696 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.695102Z

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Unavailable: canonical work link unavailable.

Observation aa88b401-925b-49df-8cab-a8f1e5a2b0dc · outbound

This paper cites EP n P: An accurate O (n) solution to the P n P problem,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling EP n P: An accurate O (n) solution to the P n P problem,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.777825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f019d3-d050-4d71-9164-f87536209b3f · outbound

This paper cites Lidar data synthesis with denoising diffusion probabilistic models,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Lidar data synthesis with denoising diffusion probabilistic models,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.844035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4153be-d27f-4eeb-8819-ca5b08aeee38 · outbound

This paper cites Fast LiDAR data generation with rectified flows,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Fast LiDAR data generation with rectified flows,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:09.921733Z

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Unavailable: canonical work link unavailable.

Observation ce97829b-de0f-4b04-bb75-deae1a703c5e · outbound

This paper cites Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.014991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267abb28-1edf-4e79-8bff-24867844dd89 · outbound

This paper cites Image super-resolution via iterative refinement,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Image super-resolution via iterative refinement,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.152158Z

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Unavailable: canonical work link unavailable.

Observation 77326c1c-8320-47c6-bce9-ee42527f8f74 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling U-net: Convolutional networks for biomedical image segmentation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.277791Z

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Unavailable: canonical work link unavailable.

Observation e3194352-a2be-444b-9434-8067f26c9645 · outbound

This paper cites Gsv-cities: Toward appropriate supervised visual place recognition,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling Gsv-cities: Toward appropriate supervised visual place recognition,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.407561Z

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Unavailable: canonical work link unavailable.

Observation 0e6a96b6-382d-48d2-91e3-65fa95ebb1a4 · outbound

This paper cites CT- ICP: Real-time elastic LiDAR odometry with loop closure,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling CT- ICP: Real-time elastic LiDAR odometry with loop closure,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.543118Z

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Unavailable: canonical work link unavailable.

Observation d6f6143f-cc9a-4355-b4a3-0bd629e767f3 · outbound

This paper cites GLIM: 3D range- inertial localization and mapping with GPU-accelerated scan matching factors,.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling GLIM: 3D range- inertial localization and mapping with GPU-accelerated scan matching factors,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T01:36:10.695572Z

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Pith citing papers

No inbound Pith citation observations are available.