Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:38:47.078260Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1909.00866.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:38:47.078260Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
27 of 27 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5c0c62ba-54d1-489b-821e-469c340ec36b · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds A meta-analysis of crop yield under climate change and adaptation
Reference 1
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 5c6cb3e9-0f03-422f-b918-7944d9723791 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
Reference 2
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 7d1c1c17-17e7-42f5-a1a4-f9064be37a41 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Image analysis: the new bottleneck in plant phenotyping [applications corner]
Reference 3
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 6763823f-a27b-4169-8480-c21dd1b0438c · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Imaging system for classification of local flora of uttarakhand region
Reference 4
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 9122eb5a-fc31-4cf6-9846-36c1a1196bd1 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Novel low cost 3d surface model reconstruction system for plant phenotyping
Reference 5
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 29974b71-76ef-4648-ad37-2230b7c0679c · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Local shape feature fusion for improved matching, pose estimation and 3d object recognition
Reference 6
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 84a2a0cc-deaf-446b-a2d4-dfe059a42c28 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Fast descriptors and correspondence propagation for robust global point cloud registration
Reference 7
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 605be9dc-8a20-41c4-ba30-b59999f8bec0 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Data-driven 3d voxel patterns for object category recognition
Reference 8
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 6c6158a6-0361-45b1-a95e-1189788fab85 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds In search of inliers: 3d corre- spondence by local and global voting
Reference 9
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 88b29d28-9a2e-4bc7-97d9-15174b33ada7 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Performance evaluation of 3d correspondence grouping algorithms
Reference 10
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 f0f1c727-6cee-4413-8f30-3f60ee8d8989 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Fast matching of binary features
Reference 11
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 91de1a3b-fd6f-4455-b617-9a23060fd885 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Robustifying corre- spondence based 6d object pose estimation
Reference 12
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 8707bfa2-592b-4f5c-87b1-e3f8f1776f83 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Reference 13
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 9c1488f3-15a9-482d-9321-6de32a2ef9fc · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds 3d free-form object recognition in range images using local surface patches
Reference 14
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 ad068967-a6f1-40e7-976c-f7c5e4ae5ba2 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Ranking 3d feature correspondences via consistency voting
Reference 15
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 a33fcfb0-667f-421c-9163-9ccf79e7b632 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Object recognition in 3d scenes with occlusions and clutter by hough voting
Reference 16
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 6b465968-56d8-484f-a334-aba90a33359a · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Rotational subgroup voting and pose clustering for robust 3d object recognition
Reference 17
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 dbfb74a0-1084-4f77-b75c-74245285ebd1 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Mlesac: A new robust estimator with application to estimating image geometry
Reference 18
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 1d8a0cba-0afe-486a-950e-954e469bdf93 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Research on sift image matching based on mlesac algorithm
Reference 19
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 e0a289f1-ee98-439a-a896-7b50196616f4 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Feature correspondence via graph matching: Models and global optimization
Reference 20
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 2dc5dfae-fc4a-46e8-8343-54ca933c6ec1 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Distinctive image features from scale-invariant keypoints
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4efa956-6959-4a47-aa2c-941cd1bc6b72 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds An efficient ransac for 3d object recognition in noisy and occluded scenes
Reference 22
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 3336c383-b964-4194-a0e1-094c02854588 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Surface matching for object recognition in complex 3-d scenes
Reference 23
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 0e805fdc-6970-4fc3-b1b2-de68cb2f9537 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Method and means for recognizing complex patterns, December 18 1962
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27262ca5-2088-48e6-864f-809f6962f358 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds 3d scans of plant shoot architectures, Jul 2017
Reference 25
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 4bb580b4-54bc-49f0-8a8e-6789a4421882 · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Performance evaluation of 3d keypoint detectors
Reference 26
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 a39bff18-9955-4b7a-b0dd-377664b7e69b · outbound
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds A novel representation and feature matching algorithm for automatic pairwise registration of range images.International Journal of Computer Vision, 66(1):19– 40, 2006
Reference 27
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.
No inbound Pith citation observations are available.