Paper Citation Record · LEDGER

Tetrahedron-Net for Medical Image Registration

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.04380.

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

pith.paper-citation-record.v1
2505.04380 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:33:33.804486Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99744459-f646-462c-b56c-1dcaf39d41a7 · outbound

This paper cites an unresolved cited work.

Tetrahedron-Net for Medical Image Registration Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:33:34.145609Z

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 7c443e0d-007c-4aa7-b116-a9bdd4a4135f · outbound

This paper cites Intelligent Medicine 3, 59–78.

Tetrahedron-Net for Medical Image Registration Intelligent Medicine 3, 59–78

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:34.136364Z

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 0d9d8248-2464-4e4a-b317-cd8c66eb2d18 · outbound

This paper cites Medical ImageAnalysis85,102762.

Tetrahedron-Net for Medical Image Registration Medical ImageAnalysis85,102762

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.789525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a4e9f2-bc5e-4bf4-9f51-cf14d4fa5fac · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Tetrahedron-Net for Medical Image Registration Attention U-Net: Learning Where to Look for the Pancreas

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.791940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6be57d-07c6-40cb-bfcd-1b2bfde82c61 · outbound

This paper cites Classification in BioApps: Automation of decision making , 323–350.

Tetrahedron-Net for Medical Image Registration Classification in BioApps: Automation of decision making , 323–350

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:34.127671Z

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 e35882dc-6e73-47a5-896c-fa5c8fc34750 · outbound

This paper cites Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration.

Tetrahedron-Net for Medical Image Registration Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.801458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3f1d52-a8b5-43ab-9809-2df49047da57 · outbound

This paper cites Data augmentation using learned transformations for one-shot medical image segmentation.

Tetrahedron-Net for Medical Image Registration Data augmentation using learned transformations for one-shot medical image segmentation

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.804486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a635bec-883d-47aa-8d61-8e1f3aab3880 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Tetrahedron-Net for Medical Image Registration Adam: A Method for Stochastic Optimization

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.783128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c819616-c51a-40c3-8651-322ae12e66f5 · outbound

This paper cites an unresolved cited work.

Tetrahedron-Net for Medical Image Registration Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:33:34.119423Z

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 c059706f-ea09-4262-b264-338ed98edb24 · outbound

This paper cites FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration.

Tetrahedron-Net for Medical Image Registration FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.786415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86aa3174-b0af-4ad0-964e-42fcf7beaac0 · outbound

This paper cites ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration.

Tetrahedron-Net for Medical Image Registration ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.584736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b7f35c-14bf-4ba6-a38c-3b4b857d3cfb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Tetrahedron-Net for Medical Image Registration An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:33.696505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3724a4-38de-4423-9a6b-a180e9c1ef50 · outbound

This paper cites Deep learning in medical image registration: introduction and survey.

Tetrahedron-Net for Medical Image Registration Deep learning in medical image registration: introduction and survey

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:33:33.955501Z

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.

Pith citing papers

No inbound Pith citation observations are available.