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Paper Citation Record · LEDGER

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.16139.

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

pith.paper-citation-record.v1
2308.16139 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:47.116976Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T13:22:18.392565Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 118ad2b4-a298-4a0d-a8b5-70632a6c9a29 · inbound

Thermodynamics-informed graph neural networks for real-time simulation of digital human twins cites this paper.

Thermodynamics-informed graph neural networks for real-time simulation of digital human twins MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:25:29.790630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:25:29.790630Z digest=sha256:0db778f9a4e44d057af206115ea526a5fc21df43f962c78dc18e4207c04886cf

Observation f52066c5-c089-4eef-9840-8e845d01353c · inbound

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations cites this paper.

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:47.116976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:47.116976Z digest=sha256:c02eea3ea8dc89ba663495fdb77ccd28b7ab8d726bc9043de5b3d6c695f18411

Observation 7a06da21-2279-47c9-90fa-19b0e9c16b4d · inbound

NFR: Neural Feature-Guided Non-Rigid Shape Registration cites this paper.

NFR: Neural Feature-Guided Non-Rigid Shape Registration MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.396327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T13:21:49.464442Z digest=sha256:f1b2a8b01123aefc315a3fe8e985aa6076679250475272f104ec25be64090dcd

Observation 6030abc7-6eca-4dc8-92b3-2865192c5ada · inbound

Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds cites this paper.

Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:01:17.686525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T01:55:19.336867Z digest=sha256:b62f8b6c7ad5d2afe7a7d6e4ee91e4f003b0c0b835c6dc830269c3041a1fda30

Observation 56bdfa24-f54b-4a7a-a95a-948cf1d9f1dd · inbound

Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence cites this paper.

Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:33.359642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T02:09:48.998349Z digest=sha256:eb1cd34d2695751b6538f359bf31f176abeb7d771472ab45ed47c0ffd64ad0c9