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Paper Citation Record · LEDGER

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.10594.

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

pith.paper-citation-record.v1
2506.10594 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:26:10.970095Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 7ff130c7-ed17-4fe8-9b1d-d83971bdc530 · outbound

This paper cites A critical look at the coordinate measuring tech- nique,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement A critical look at the coordinate measuring tech- nique,

Reference 1

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Observation ae1d7e33-ec4d-4cc6-9b33-1e71ecfdb358 · outbound

This paper cites Efficiently registering scan point clouds of 3d printed parts for shape accuracy assessment and modeling,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Efficiently registering scan point clouds of 3d printed parts for shape accuracy assessment and modeling,

Reference 2

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Observation 24e79dc0-05d2-4531-af09-4d48d4d0a842 · outbound

This paper cites Comparison of point cloud data and 3d cad data for on-site dimensional inspection of industrial plant piping systems,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Comparison of point cloud data and 3d cad data for on-site dimensional inspection of industrial plant piping systems,

Reference 3

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Observation 7b39f4b3-d4ad-46f9-9b8b-56b53467aa6c · outbound

This paper cites Plade: A plane- based descriptor for point cloud registration with small overlap,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Plade: A plane- based descriptor for point cloud registration with small overlap,

Reference 4

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Observation b5b59819-e65a-47a5-86f5-4c8369890010 · outbound

This paper cites Fast global registration,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Fast global registration,

Reference 5

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Observation ba447177-99b2-48a2-99e8-09acf665a332 · outbound

This paper cites Hybrid geometry sets for global registration of cross-source geometric data,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Hybrid geometry sets for global registration of cross-source geometric data,

Reference 6

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Observation 07b09cb1-8727-43e7-87c9-f1004112d1c1 · outbound

This paper cites Deepvcp: An end-to-end deep neural network for point cloud registration,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Deepvcp: An end-to-end deep neural network for point cloud registration,

Reference 7

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Observation a8e068bf-31a8-4157-890b-f7048ee4221f · outbound

This paper cites PCRNet: Point Cloud Registration Network using PointNet Encoding.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement PCRNet: Point Cloud Registration Network using PointNet Encoding

Reference 8

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Observation aa7a2ea4-b8d1-42b9-bd34-72d001dfe362 · outbound

This paper cites Deep feature interac- tion network for point cloud registration, with applications to optical measurement of blade profiles,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Deep feature interac- tion network for point cloud registration, with applications to optical measurement of blade profiles,

Reference 9

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Observation 3304bb3d-a17b-456e-bfc4-aec3590f2f86 · outbound

This paper cites Imlovenet: Misaligned image-supported registration network for low-overlap point cloud pairs,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Imlovenet: Misaligned image-supported registration network for low-overlap point cloud pairs,

Reference 10

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Observation b151e53e-ab93-43b3-8a41-a78b22dfc61f · outbound

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

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 11

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Observation 7cc94637-dc1b-4078-9d6e-55333bca6bfa · outbound

This paper cites Efficient ransac for point-cloud shape detection,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Efficient ransac for point-cloud shape detection,

Reference 12

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Observation bbc3b65a-99ea-4a96-b756-9c12b1ead489 · outbound

This paper cites Segmentation of point clouds using smoothness constraint,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Segmentation of point clouds using smoothness constraint,

Reference 13

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Observation f9766b7b-ebbb-497e-bd9c-de78053253eb · outbound

This paper cites Finding good configurations of planar primitives in unorganized point clouds,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Finding good configurations of planar primitives in unorganized point clouds,

Reference 14

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Observation 0cba993d-8a7b-43ed-a340-bc0191d2ff1e · outbound

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

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 15

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Observation ae063d27-8b82-4587-8b81-20cb845e870f · outbound

This paper cites Surface and edge detection for primitive fitting of point clouds,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Surface and edge detection for primitive fitting of point clouds,

Reference 16

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Source-reported events for the cited work

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Observation aa7e8c59-3ed9-4652-bd9d-3bf6e396f722 · outbound

This paper cites An unequal deep learning approach for 3-d point cloud segmentation,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement An unequal deep learning approach for 3-d point cloud segmentation,

Reference 17

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Observation 869800d9-bd9f-4fb0-a2b9-93f4280007b9 · outbound

This paper cites Multiple model fitting as a set coverage prob- lem,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Multiple model fitting as a set coverage prob- lem,

Reference 18

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Observation afa09543-3da9-426d-ab81-d8ec67a0265f · outbound

This paper cites Searching for representative modes on hypergraphs for robust geometric model fitting,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Searching for representative modes on hypergraphs for robust geometric model fitting,

Reference 19

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Observation 706bfe48-425b-4d47-bf32-2dd5f7e0a63e · outbound

This paper cites Robust statistical ap- proaches for circle fitting in laser scanning three-dimensional point cloud data,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Robust statistical ap- proaches for circle fitting in laser scanning three-dimensional point cloud data,

Reference 20

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This paper cites Shape detection from raw lidar data with subspace modeling,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Shape detection from raw lidar data with subspace modeling,

Reference 21

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Observation eeac2820-a206-4775-9924-a70145dd6ce9 · outbound

This paper cites Repcd-net: Feature-aware recurrent point cloud denoising network,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Repcd-net: Feature-aware recurrent point cloud denoising network,

Reference 22

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Source-reported events for the cited work

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Observation fea8d860-df8d-45c2-98b4-87e689c1d8b1 · outbound

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Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Multi-patch collabora- tive point cloud denoising via low-rank recovery with graph constraint,

Reference 23

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Observation dd3c47cf-a703-48de-ab07-97dbf3164840 · outbound

This paper cites Method for registration of 3-d shapes,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Method for registration of 3-d shapes,

Reference 24

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Observation 839c0a81-ab2d-4527-998f-31f79f8c3b9d · outbound

This paper cites Multi-scale tensor voting for feature extraction from unstructured point clouds,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Multi-scale tensor voting for feature extraction from unstructured point clouds,

Reference 25

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Observation f5a862be-38cb-4610-adf5-2be41474e27b · outbound

This paper cites Fitting multiple heterogeneous models by multi-class cascaded t-linkage,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Fitting multiple heterogeneous models by multi-class cascaded t-linkage,

Reference 26

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Source-reported events for the cited work

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Observation 55c68f0f-f587-4d6a-b0b6-096f6ab03ded · outbound

This paper cites Mean shift: A robust approach toward feature space analysis,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Mean shift: A robust approach toward feature space analysis,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca36108b-d18d-49bb-9d1b-264bac3e8558 · outbound

This paper cites Hpnet: Deep primitive segmentation using hybrid representations,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Hpnet: Deep primitive segmentation using hybrid representations,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be56eb72-6de9-47c2-9014-7290714dbb75 · outbound

This paper cites Abc: A big cad model dataset for geometric deep learning,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Abc: A big cad model dataset for geometric deep learning,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ddc3cba3-2845-45dc-8b10-fef8318d65e1 · outbound

This paper cites Robust fitting of multiple structures: The statistical learning approach,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Robust fitting of multiple structures: The statistical learning approach,

Reference 30

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Source-reported events for the cited work

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Observation c017676b-479c-4e5a-a487-add0cd557696 · outbound

This paper cites Aircraft seam feature extrac- tion from 3d raw point cloud via hierarchical multi-structure fitting,.

Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement Aircraft seam feature extrac- tion from 3d raw point cloud via hierarchical multi-structure fitting,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.