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Paper Citation Record · LEDGER

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.07379.

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

pith.paper-citation-record.v1
2507.07379 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:46:11.020569Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09209033-ec53-4550-9932-55e7200ecfc6 · outbound

This paper cites Quantitative comparison of cortical bone thickness using correspondence-based shape modeling in patients with cam femoroacetabular impingement,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Quantitative comparison of cortical bone thickness using correspondence-based shape modeling in patients with cam femoroacetabular impingement,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 79c18078-7288-4f81-a77a-e8ece4491edf · outbound

This paper cites Quantifying the severity of metopic craniosynostosis: A pilot study application of machine learning in craniofacial surgery,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Quantifying the severity of metopic craniosynostosis: A pilot study application of machine learning in craniofacial surgery,

Reference 2

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Source-reported events for the cited work

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Observation 11410790-1b4c-47fe-bcb5-1cc773207bf6 · outbound

This paper cites Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 9b90672a-5be6-4626-aea5-a9e51b3ba759 · outbound

This paper cites Statistical shape modeling of the hip and the association with hip osteoarthritis: a systematic review,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Statistical shape modeling of the hip and the association with hip osteoarthritis: a systematic review,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5ab6dd97-c4ff-4e6c-82ca-fb4137411338 · outbound

This paper cites High variability of acetabular offset in primary hip osteoarthritis influences acetabular reaming—a computed tomography–based anatomic study,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence High variability of acetabular offset in primary hip osteoarthritis influences acetabular reaming—a computed tomography–based anatomic study,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation aed1253c-71c1-4cca-82be-61dc80d2a74d · outbound

This paper cites A statistical shape modelling framework to extract 3d shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence A statistical shape modelling framework to extract 3d shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6c8cb968-0886-4f78-9b0d-64c3ed756d78 · outbound

This paper cites Statistical shape and appearance models of bones,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Statistical shape and appearance models of bones,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b344e908-2658-4f2a-b940-f9db94c1e3ba · outbound

This paper cites A minimum description length approach to statistical shape modeling,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence A minimum description length approach to statistical shape modeling,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a82955e2-366b-46d0-b42a-660c09e48bd2 · outbound

This paper cites Shapeworks: particle-based shape correspondence and visualization software,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Shapeworks: particle-based shape correspondence and visualization software,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 560e5c96-f966-486d-8e1b-325df2a05608 · outbound

This paper cites Entropy-based particle correspondence for shape populations,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Entropy-based particle correspondence for shape populations,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b4e4dacc-4fab-4e8b-a47c-f81fbd22363e · outbound

This paper cites Image2ssm: Reimagining statistical shape models from images with radial basis functions,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Image2ssm: Reimagining statistical shape models from images with radial basis functions,

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 2026-08-20T06:33:59.587034+00:00.

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Observation ac1ea831-6782-4d90-b11b-8a7338c2cd0c · outbound

This paper cites Optimization-driven statistical models of anatomies using radial basis function shape representation,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Optimization-driven statistical models of anatomies using radial basis function shape representation,

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 2026-08-20T06:33:59.587034+00:00.

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Observation 9a7b527a-4f37-49c4-bee4-ab96d1b7ba86 · outbound

This paper cites Variational Implicit Surfaces,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Variational Implicit Surfaces,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5aee3cb5-744f-47e4-a58e-e751fe77a08c · outbound

This paper cites Reconstruction and representation of 3d objects with radial basis functions,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Reconstruction and representation of 3d objects with radial basis functions,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dc11ed9f-ccc5-41f6-8349-086730a13680 · outbound

This paper cites Automatic construction of eigenshape models by direct optimization,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Automatic construction of eigenshape models by direct optimization,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fb2e9940-8071-4ebe-accb-8179e007e4d4 · outbound

This paper cites The farthest point strategy for progressive image sampling,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence The farthest point strategy for progressive image sampling,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 28d50f72-3b94-4129-b3b1-0babd4d2a69b · outbound

This paper cites The Hungarian Method for the Assignment Problem,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence The Hungarian Method for the Assignment Problem,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ae78766b-cbde-40c5-aa78-c18507a5e0f0 · outbound

This paper cites Benchmarking off-the-shelf statistical shape modeling tools in clinical applications,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Benchmarking off-the-shelf statistical shape modeling tools in clinical applications,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 439f3974-7e89-4dd0-8fc5-a8fd9765e0e7 · outbound

This paper cites Abdomenct-1k: Is abdominal organ segmentation a solved problem?,.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence Abdomenct-1k: Is abdominal organ segmentation a solved problem?,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8e1744c2-6f0e-4500-bc4b-8bbacf7632f8 · outbound

This paper cites TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

Reference 20

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Source-reported events for the cited work

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Observation cadea869-21c3-42d4-a11f-ac6df17ea5fb · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Adaptive Particle-Based Shape Modeling for Anatomical Surface Correspondence nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.