Paper Citation Record · LEDGER

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2507.11569.

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

pith.paper-citation-record.v1
2507.11569 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:27:05.285203Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:37:52.191158Z

Reference resolution

25 of 25 outbound references displayed

verified exact3
verified fuzzy7
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c359d35-1b26-41d7-b01e-3ee739f2f1b9 · outbound

This paper cites IEEE Access10, 122901–122911 (2022).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? IEEE Access10, 122901–122911 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:08.038835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3650f9f-8b4d-4d0b-b1b8-2253666cdcf3 · outbound

This paper cites Medical image analysis12(1), 26–41 (2008).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Medical image analysis12(1), 26–41 (2008)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:02.963944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba70fd7d-ed20-442b-83be-3c8720145157 · outbound

This paper cites IEEE transactions on medical imaging38(8), 1788–1800 (2019).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? IEEE transactions on medical imaging38(8), 1788–1800 (2019)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.056786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b7cb0c-013d-47df-9905-0663f9b26d3b · outbound

This paper cites Data set (2015).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Data set (2015)

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T17:27:05.712889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11a0af8c-ca31-4fd8-aabb-8c9e41a0c1b3 · outbound

This paper cites Medical image analysis82, 102615 (2022).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Medical image analysis82, 102615 (2022)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.247372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ac32c1-84e2-49e5-91d2-90a61fa51124 · outbound

This paper cites arXiv preprint arXiv:2505.13414 (2025).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? arXiv preprint arXiv:2505.13414 (2025)

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:27:06.645446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f54ad4f8-d419-4a3c-aad5-1b259e5b4d2a · outbound

This paper cites arXiv preprint arXiv:2504.15192 (2025).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? arXiv preprint arXiv:2504.15192 (2025)

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:27:06.342949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8198aa3-4846-4dbf-bfb9-8652c863405a · outbound

This paper cites MRI-CORE: A Foundation Model for Magnetic Resonance Imaging.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? MRI-CORE: A Foundation Model for Magnetic Resonance Imaging

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.476821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8616e1d2-24f2-4159-9007-2ccb1cf02628 · outbound

This paper cites Segment anything model 2: an application to 2D and 3D medical images.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Segment anything model 2: an application to 2D and 3D medical images

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.524086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3386c90a-d839-42bd-a23b-7f60c1626175 · outbound

This paper cites How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.612406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad24c750-54a7-4ed1-8a1c-9957d8def396 · outbound

This paper cites Medical image analysis71, 102036 (2021).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Medical image analysis71, 102036 (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.858720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8eef79e2-f332-42f4-a82b-d4525800a9b0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Adam: A Method for Stochastic Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.837104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c447b9-b3de-4bf4-b8e9-05effe79b7d3 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.891306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e46b571-8fd9-4a18-ba97-ee6f8b61071e · outbound

This paper cites IEEE transactions on medical imaging 29(1), 196–205 (2009).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? IEEE transactions on medical imaging 29(1), 196–205 (2009)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:03.946127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ca71ce-61ae-4014-bc31-fa07e8716745 · outbound

This paper cites MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:04.032072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a0fc8c-0e3b-4682-90e5-d57a0fb71e99 · outbound

This paper cites Scientific reports14(1), 5383 (2024).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Scientific reports14(1), 5383 (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.703227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce0c58f7-6023-4c94-9996-18b791f6525d · outbound

This paper cites Nature Communications15(1), 654 (2024).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Nature Communications15(1), 654 (2024)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:04.235512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de121329-563c-458b-86ec-51c6d1e566f4 · outbound

This paper cites Medical Image Analysis 89, 102918 (2023).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Medical Image Analysis 89, 102918 (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.548116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dafe976c-9ace-4305-a2ca-57b9d57084c4 · outbound

This paper cites Journal of digital imaging31, 718–726 (2018).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Journal of digital imaging31, 718–726 (2018)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.368484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f05774df-8c74-41d2-b53c-6c6ef2f48a19 · outbound

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

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? DINOv2: Learning Robust Visual Features without Supervision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:04.625809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00e9179-4814-46f0-a4f1-3b35e7e1df9e · outbound

This paper cites Journal of Medical Imaging9(6), 065001–065001 (2022).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Journal of Medical Imaging9(6), 065001–065001 (2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.175681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4d1f718-6630-44c6-8241-78be9ad31a91 · outbound

This paper cites Diagnostics13(11), 1947 (2023).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Diagnostics13(11), 1947 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:27:07.005120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb404b50-83ff-41a8-b255-4d6badfd43d0 · outbound

This paper cites IEEE Transactions on Medical Imaging (2024).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? IEEE Transactions on Medical Imaging (2024)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:04.988838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68db8241-a2bb-40ea-9e9c-5bcf7278c81e · outbound

This paper cites In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention.

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:05.116382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa1799f-724e-4d46-927a-985069178a4c · outbound

This paper cites Nature Biomedical Engineering9(4), 521–538 (2025).

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? Nature Biomedical Engineering9(4), 521–538 (2025)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:05.285203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence cites this paper.

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 2026-08-09T06:31:02.800959+00:00.