Paper Citation Record · LEDGER

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence

As of 3 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.13798.

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

pith.paper-citation-record.v1
2605.13798 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T19:36:27.412524Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T08:05:16.230513Z

Reference resolution

36 of 36 outbound references displayed

verified exact10
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9489199-8076-4bc1-a685-ee8944a7bdcc · outbound

This paper cites A survey of medical image registration.Medical image analysis, 2(1):1–36.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence A survey of medical image registration.Medical image analysis, 2(1):1–36

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.472879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e39ca3ab-0549-42c2-b5d5-9e992905961f · outbound

This paper cites Deformable medical image registration: A survey.IEEE transactions on medical imaging, 32(7):1153–1190.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Deformable medical image registration: A survey.IEEE transactions on medical imaging, 32(7):1153–1190

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.462826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c764344a-9723-49d4-8fa7-7f2160a6c636 · outbound

This paper cites A review of atlas-based segmentation for magnetic resonance brain images.Computer methods and programs in biomedicine, 104(3):e158–e177.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence A review of atlas-based segmentation for magnetic resonance brain images.Computer methods and programs in biomedicine, 104(3):e158–e177

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.448555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b75c1f0c-a281-46d9-9680-70152c564076 · outbound

This paper cites Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.Medical image analysis, 12(1):26–41.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.Medical image analysis, 12(1):26–41

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.530870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7cb2d245-06f5-4522-9bcc-7ad7f38abbf2 · outbound

This paper cites Elastix: a toolbox for intensity-based medical image registration.IEEE transactions on medical imaging, 29(1):196–205.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Elastix: a toolbox for intensity-based medical image registration.IEEE transactions on medical imaging, 29(1):196–205

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.467229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 71eab035-4118-4720-872d-baecc5d9e595 · outbound

This paper cites Diffeomorphic demons: Efficient non-parametric image registration.NeuroImage, 45(1):S61–S72.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Diffeomorphic demons: Efficient non-parametric image registration.NeuroImage, 45(1):S61–S72

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.514395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aaeb594d-f55c-48f4-8368-117aab85f84c · outbound

This paper cites A fast diffeomorphic image registration algorithm.Neuroimage, 38(1): 95–113.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence A fast diffeomorphic image registration algorithm.Neuroimage, 38(1): 95–113

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.526288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9939f09d-0c95-4c50-b854-37a6ff7d3e8a · outbound

This paper cites Voxel- morph: a learning framework for deformable medical image registration.IEEE transactions on medical imaging, 38(8):1788–1800.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Voxel- morph: a learning framework for deformable medical image registration.IEEE transactions on medical imaging, 38(8):1788–1800

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.484014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cd5dddb5-d32b-48db-b5ce-6b150e0ae9e9 · outbound

This paper cites End-to-end unsupervised deformable image registration with a convolutional neural net- work.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence End-to-end unsupervised deformable image registration with a convolutional neural net- work

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.540043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 47a95386-f3bb-4abc-b6f8-d2ee78a183f2 · outbound

This paper cites Cross-modal attention for multi-modal image registration.Medical Image Analysis, 82:102612.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Cross-modal attention for multi-modal image registration.Medical Image Analysis, 82:102612

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.505360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 76c3c2c9-7696-426d-be1c-be56a67b204f · outbound

This paper cites Prince, and Yong Du.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Prince, and Yong Du

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:50.561781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6fac8695-5f57-40d0-a5ec-f234ba974ba8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.488965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1b2685a8-3a23-461c-aec8-722fa38057b6 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Emerging properties in self-supervised vision transformers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.505742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 568b48d5-dd2d-4390-9180-2e9e86065cf0 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence DINOv2: Learning Robust Visual Features without Supervision

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:37:52.175192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c9135631-f2d5-41bd-8873-f317249fbfcc · outbound

This paper cites DINOv3.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence DINOv3

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T19:37:52.169113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 50ac77ac-3cb6-4bcf-95d6-cc1e0499d233 · outbound

This paper cites Segment anything.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Segment anything

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.510063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9c4f2c11-6ec5-48ce-b272-9378f7c3137c · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence SAM 2: Segment Anything in Images and Videos

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:37:52.181336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a4f93049-7bd3-4a8b-8c47-f070dffa9d99 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence SAM 3: Segment Anything with Concepts

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:37:52.163342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 90980f82-4990-4433-8c86-11088240eeb8 · outbound

This paper cites Segment anything in medical images.Nature Communications, 15:654.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Segment anything in medical images.Nature Communications, 15:654

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.492789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 72fb8d21-a517-4455-ac33-a52264395833 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:52.187976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 94f2986d-6c6c-4b5b-9526-0745efb1620a · outbound

This paper cites Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:52.151122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 753783f8-57e0-4f46-aff5-a18e5c5c6b1e · outbound

This paper cites Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:52.157491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7d033973-2b94-481d-acec-a9dc62d71b0c · outbound

This paper cites DINO-Reg: General purpose image encoder for training-free multi-modal deformable medical image registration.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence DINO-Reg: General purpose image encoder for training-free multi-modal deformable medical image registration

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.501422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4938ea90-ae29-480e-80e4-a02c648f3cdb · outbound

This paper cites Wong, Clinton J.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Wong, Clinton J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.479240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4cfe94e3-08c1-437d-a5fa-289ea1338129 · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5).

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Totalsegmentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.544298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9c666795-759d-450d-ba9f-a0e1f60603b8 · outbound

This paper cites Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:52.194992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ad7d7d32-bfd4-4e32-947f-31bdc0b6ca0c · outbound

This paper cites VISTA3D: A unified segmentation foundation model for 3d medical imaging.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence VISTA3D: A unified segmentation foundation model for 3d medical imaging

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.509701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1cd836e3-728b-4f5a-8aea-2e6264c3f8e0 · outbound

This paper cites SegVol: Universal and interactive volu- metric medical image segmentation.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence SegVol: Universal and interactive volu- metric medical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.488527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6ba5761e-818a-4dea-b509-c7b82bc1a8e3 · outbound

This paper cites an unresolved cited work.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:10:14.462483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1e30d2b5-67b5-43a8-950c-86bc7e8bd0d4 · outbound

This paper cites Van Essen, Stephen M.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Van Essen, Stephen M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.435005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dbe63837-6e1b-4d61-9a43-d3fc48d0da5f · outbound

This paper cites an unresolved cited work.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:10:14.518313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5dbd4193-c431-4986-a364-f58ffca6612e · outbound

This paper cites A whitening approach to probabilistic canonical correlation analysis for omics data integration.BMC Bioinformatics, 20(1):15.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence A whitening approach to probabilistic canonical correlation analysis for omics data integration.BMC Bioinformatics, 20(1):15

Reference 32

Resolution: verified exact; doi, observed 2026-05-14T19:37:50.568141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0b20488b-e201-4a1e-9bc5-108a5bab0b5d · outbound

This paper cites Heinrich, Mark Jenkinson, Bartłomiej W.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Heinrich, Mark Jenkinson, Bartłomiej W

Reference 33

Resolution: verified exact; doi, observed 2026-05-14T19:37:50.572899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a67e5b6e-3f6a-4e26-ab58-1b9da6c11c94 · outbound

This paper cites Convex- adam: Self-configuring dual-optimisation-based 3d multitask medical image registration.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Convex- adam: Self-configuring dual-optimisation-based 3d multitask medical image registration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.496809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 33faee8f-c5c3-440b-911f-f1b4866daf78 · outbound

This paper cites Freesurfer.NeuroImage, 62(2):774–781.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Freesurfer.NeuroImage, 62(2):774–781

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:10:14.521806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 172265ea-029d-49f1-835f-d7bce3c6ecc4 · outbound

This paper cites xformers: A modu- lar and hackable transformer modelling library.https://github.com/facebookresearch/ xformers.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence xformers: A modu- lar and hackable transformer modelling library.https://github.com/facebookresearch/ xformers

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-05-15T18:10:14.535853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 58eb4540-7858-416d-b817-32b8a8677e4b · inbound

Toward Training-Free Zero-Shot Anomaly Detection in 3D Medical Images: A Batch-Based Approach Using 2D Foundation Models cites this paper.

Toward Training-Free Zero-Shot Anomaly Detection in 3D Medical Images: A Batch-Based Approach Using 2D Foundation Models VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T21:30:03.100170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.