Paper Citation Record · LEDGER

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.04120.

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

pith.paper-citation-record.v1
2412.04120 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:48:46.792707Z

measured 46 of 46 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

46 of 46 outbound references displayed

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verified fuzzy38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ec09b6a-0b86-4525-848c-2dff89b8487b · outbound

This paper cites Exploring ct pixel and voxel size effect on anatomic model- ing in mandibular reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Exploring ct pixel and voxel size effect on anatomic model- ing in mandibular reconstruction

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.197164Z

Source-reported events for the cited work

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Observation c854ba94-a9cf-4959-94f7-9183e219e936 · outbound

This paper cites 3d reconstruction of blood vessels.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections 3d reconstruction of blood vessels

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.188611Z

Source-reported events for the cited work

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Observation 9a6eb86e-c6b2-49c5-91bc-0f17cf1fbb0c · outbound

This paper cites Discrete geometric shapes: Matching, interpolation, and approximation.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Discrete geometric shapes: Matching, interpolation, and approximation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.180159Z

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Observation 3428e539-53a1-4419-94e2-63e0d67fd0f0 · outbound

This paper cites The medical segmentation decathlon.Nature communications, 2022.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections The medical segmentation decathlon.Nature communications, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.171558Z

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Observation d2118345-0bca-4441-a1d0-ad9c11d7004f · outbound

This paper cites Sal: Sign agnostic learn- ing of shapes from raw data.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Sal: Sign agnostic learn- ing of shapes from raw data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.163225Z

Source-reported events for the cited work

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Observation 94976e74-b8e8-4377-adec-e9d4c1851cfe · outbound

This paper cites Ar- bitrary topology shape reconstruction from planar cross sec- tions.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Ar- bitrary topology shape reconstruction from planar cross sec- tions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.154819Z

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.

Observation 4d54b2f0-a7e0-4db7-94ef-8241220f8353 · outbound

This paper cites Piecewise-linear interpo- lation between polygonal slices.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Piecewise-linear interpo- lation between polygonal slices

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.146449Z

Source-reported events for the cited work

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Observation f1c5822b-39c4-480c-bdc6-8b43a1cd906c · outbound

This paper cites Reconstruction of multi- label domains from partial planar cross-sections.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Reconstruction of multi- label domains from partial planar cross-sections

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.137693Z

Source-reported events for the cited work

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Observation 7b91ff1b-7092-447a-8070-1f6996c9f948 · outbound

This paper cites Online reconstruction of 3d objects from arbitrary cross-sections.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Online reconstruction of 3d objects from arbitrary cross-sections

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.129044Z

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.

Observation 3f971d50-cba1-43c7-b9ff-7ac259280b87 · outbound

This paper cites Shape recon- struction from unorganized cross-sections.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Shape recon- struction from unorganized cross-sections

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.120734Z

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.

Observation 58519613-e2c1-42fa-b6d8-09530b36fdc3 · outbound

This paper cites Poco: Point convo- lution for surface reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Poco: Point convo- lution for surface reconstruction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.112202Z

Source-reported events for the cited work

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Observation c439e30a-a3e6-4ba3-9cb2-78187bb07139 · outbound

This paper cites Use of computed tomography slices 3d-reconstruction as a powerful tool to improve manu- facturing processes on aeroengine components.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Use of computed tomography slices 3d-reconstruction as a powerful tool to improve manu- facturing processes on aeroengine components

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.103487Z

Source-reported events for the cited work

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Observation 8dbe76f5-9773-40da-818f-8a061da9bd6f · outbound

This paper cites Learning implicit fields for generative shape modeling.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Learning implicit fields for generative shape modeling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.094587Z

Source-reported events for the cited work

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Observation 2efdb109-f07c-491d-8a72-8242931d8677 · outbound

This paper cites Points2surf learning implicit surfaces from point clouds.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Points2surf learning implicit surfaces from point clouds

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.085167Z

Source-reported events for the cited work

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Observation ed784ca9-1216-4bf3-8f3f-a17b86a2ef3e · outbound

This paper cites NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting).

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.689774Z

Source-reported events for the cited work

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Observation 8f823c54-2481-48b5-b5a8-0b337d87c0cd · outbound

This paper cites Three-dimensional modeling of human or- gans and its application to diagnosis and surgical planning.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Three-dimensional modeling of human or- gans and its application to diagnosis and surgical planning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.076300Z

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.

Observation 2458c712-08b8-4455-b28b-6f45e5ad9bef · outbound

This paper cites Implicit geometric regularization for learning shapes.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Implicit geometric regularization for learning shapes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.067104Z

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.

Observation 20f4a1b0-2c5f-4646-9a86-a564cdcf1af3 · outbound

This paper cites 3d-imaging of cardiac structures using 3d heart models for planning in heart surgery: a preliminary study.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections 3d-imaging of cardiac structures using 3d heart models for planning in heart surgery: a preliminary study

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.057712Z

Source-reported events for the cited work

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Observation 308eac8b-3e18-4a79-9210-d90ffc790c59 · outbound

This paper cites Screened poisson sur- face reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Screened poisson sur- face reconstruction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.048533Z

Source-reported events for the cited work

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Observation a789f66e-6a5a-4fda-bdb5-7fa9db935ea5 · outbound

This paper cites Poisson surface reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Poisson surface reconstruction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.039689Z

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.

Observation 637ddf94-d795-4bb9-8e2a-635c7c2cdb7a · outbound

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

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Abc: A big cad model dataset for geometric deep learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.030724Z

Source-reported events for the cited work

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Observation eff0a10a-cdf1-4c20-9360-996fd16563d1 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neuralangelo: High-fidelity neural surface reconstruction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.021535Z

Source-reported events for the cited work

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Observation 12895dd4-0e67-410b-b899-8ac6d492f17d · outbound

This paper cites Surface reconstruction from non-parallel curve networks.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Surface reconstruction from non-parallel curve networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:47.012753Z

Source-reported events for the cited work

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Observation f2ee9e87-cb14-4013-bc8e-7311c3898ce9 · outbound

This paper cites Neural sparse voxel fields.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neural sparse voxel fields

Reference 24

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Source-reported events for the cited work

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Observation e037317f-b85f-4f4b-b250-846c05ce2869 · outbound

This paper cites Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.999263Z

Source-reported events for the cited work

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Observation 2a118f99-93b9-47c5-b658-ce157fef29f4 · outbound

This paper cites Towards better gradient consistency for neural signed distance functions via level set alignment.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Towards better gradient consistency for neural signed distance functions via level set alignment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.990062Z

Source-reported events for the cited work

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Observation bf179155-fc12-4e6b-ba52-9daa4e7622c7 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Occupancy networks: Learning 3d reconstruction in function space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.729007Z

Source-reported events for the cited work

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Observation 074700b0-36a9-4da4-bead-729ffc08ccce · outbound

This paper cites tiny-cuda-nn, 2021.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections tiny-cuda-nn, 2021

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.733085Z

Source-reported events for the cited work

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Observation 29c10c1a-933e-4cc0-b496-d5529ccb42de · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 29

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Source-reported events for the cited work

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Observation 8afcf3a2-8240-4d53-a683-6ddf4ba449f0 · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.966769Z

Source-reported events for the cited work

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Observation ba258c06-c0c2-4093-af5f-a3bf9913c278 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.957111Z

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.

Observation 5ac668e6-8165-408a-850e-57c998c2a20d · outbound

This paper cites Deep Medial Fields.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Deep Medial Fields

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.745596Z

Source-reported events for the cited work

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Observation d10a156a-61db-4b1b-9392-33a867750e25 · outbound

This paper cites Orex: Object reconstruction from planar cross-sections us- ing neural fields.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Orex: Object reconstruction from planar cross-sections us- ing neural fields

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.947772Z

Source-reported events for the cited work

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Observation d9092d0c-d923-497b-89d8-0a10f72b8400 · outbound

This paper cites Topology-Controlled Re- construction from Partial Cross-Sections.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Topology-Controlled Re- construction from Partial Cross-Sections

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.937658Z

Source-reported events for the cited work

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Observation 3b3760da-8303-42f3-b215-83a0769b9216 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Implicit neural representa- tions with periodic activation functions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.928495Z

Source-reported events for the cited work

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Observation 54f2fce9-f2ce-46fe-ac26-27ac4f6bb5e4 · outbound

This paper cites 3d image reconstruc- tion for comparison of algorithm database: A patient specific anatomical and medical image database.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections 3d image reconstruc- tion for comparison of algorithm database: A patient specific anatomical and medical image database

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.919287Z

Source-reported events for the cited work

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Observation ae67f38b-be3b-4a48-91a5-42bb40a9911f · outbound

This paper cites Neural geometric level of detail: Real-time rendering with implicit 3D shapes.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neural geometric level of detail: Real-time rendering with implicit 3D shapes

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.910139Z

Source-reported events for the cited work

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Observation 6ad603f2-3abb-454f-94b8-624817936384 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimen- sional domains.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Fourier features let networks learn high frequency functions in low dimen- sional domains

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.901309Z

Source-reported events for the cited work

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Observation 2cca26d0-6af6-40cd-9938-a4a7ed4da49d · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.768319Z

Source-reported events for the cited work

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Observation 2a542db7-b7f6-489e-b745-3ec97dd1a203 · outbound

This paper cites Neural-imls: Self-supervised im- plicit moving least-squares network for surface reconstruc- tion.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neural-imls: Self-supervised im- plicit moving least-squares network for surface reconstruc- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.887478Z

Source-reported events for the cited work

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Observation 0f79f052-61da-4a53-b9af-119a55769431 · outbound

This paper cites The vascular model repository: a public resource of medi- cal imaging data and blood flow simulation results.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections The vascular model repository: a public resource of medi- cal imaging data and blood flow simulation results

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.878360Z

Source-reported events for the cited work

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Observation ac0977f4-56ea-4d1f-b991-71aa2c482201 · outbound

This paper cites Neural fields in visual computing and beyond.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Neural fields in visual computing and beyond

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:46.778443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a23c343-a1e0-430e-afa0-219bf9a29850 · outbound

This paper cites Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.864120Z

Source-reported events for the cited work

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Observation ce405564-6c6a-4f92-84ae-efd702b680d6 · outbound

This paper cites Mosaic-sdf for 3d generative models.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Mosaic-sdf for 3d generative models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.854698Z

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.

Observation 35f4bfdb-8909-478e-9663-da2cbf2574de · outbound

This paper cites Iso-points: Optimizing neural implicit surfaces with hybrid representations.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections Iso-points: Optimizing neural implicit surfaces with hybrid representations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.845616Z

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.

Observation 784cbd1b-7d80-4b5f-80b2-56be2d4fe091 · outbound

This paper cites No 2D SDF Labels.

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections No 2D SDF Labels

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:46.834840Z

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.

Pith citing papers

No inbound Pith citation observations are available.