Paper Citation Record · LEDGER

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation

As of 5 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2605.07221.

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

pith.paper-citation-record.v1
2605.07221 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:15:45.191413Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

14 of 14 outbound references displayed

verified exact1
verified fuzzy8
unresolved1
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9582a79e-baf2-4e08-86dc-14b199d4ecfc · outbound

This paper cites Kitamura, Spyridon Pati, Luciano M.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Kitamura, Spyridon Pati, Luciano M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.590534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b09578e-4e1e-4444-841f-1711652a1de8 · outbound

This paper cites SPENet: Self-guided prototype enhancement network for few-shot medical im- age segmentation.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation SPENet: Self-guided prototype enhancement network for few-shot medical im- age segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.587966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fdf22dbb-996d-460f-a95e-180b12375221 · outbound

This paper cites Shamshad, S.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Shamshad, S

Reference 3

Resolution: verified exact; doi, observed 2026-05-11T02:15:51.299116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9ad5d33-a40a-46c0-9c7a-3a2e6e2e2e7e · outbound

This paper cites In2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1969–1979, DOI: 10.1109/W ACV56688.2023.00201 (2023).

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation In2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1969–1979, DOI: 10.1109/W ACV56688.2023.00201 (2023)

Reference 4

Resolution: malformed identifier; doi_truncated, observed 2026-05-11T02:15:51.328372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54b1fea0-012a-4f83-8bc5-93b71ebbd6ef · outbound

This paper cites Visual prompt tuning.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Visual prompt tuning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.584282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d9aab4c-13e7-40d0-b00e-da3855a10cb4 · outbound

This paper cites V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation

Reference 6

Resolution: malformed identifier; doi_truncated, observed 2026-05-11T02:15:51.318359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a706902-bf56-47b4-a21a-d9270dd2b43d · outbound

This paper cites Self- supervision with superpixels: Training few-shot medical image segmentation without annotation.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Self- supervision with superpixels: Training few-shot medical image segmentation without annotation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.592263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99e8452b-5f73-40c4-8927-4cd0bf6ab52a · outbound

This paper cites U-net: Convolutional networks for biomed- ical image segmentation.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation U-net: Convolutional networks for biomed- ical image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.582352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de39298f-983b-44e7-bb76-99db655c4abd · outbound

This paper cites an unresolved cited work.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-14T13:35:55.586094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bec705d-f840-4908-9a82-e9e578c94009 · outbound

This paper cites Towards understanding the effect of leak in Spiking Neural Networks.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Towards understanding the effect of leak in Spiking Neural Networks

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-05-11T02:15:51.290490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation beb5e4a4-0d84-4f89-9246-f79f5347dcc8 · outbound

This paper cites Medical SAM adapter: Adapting segment anything model for medical image segmentation.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Medical SAM adapter: Adapting segment anything model for medical image segmentation

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:15:51.337830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e03c5c7-ca3d-4b6d-b80c-c93e97078e6a · outbound

This paper cites Radke, and Ziyan Wu.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Radke, and Ziyan Wu

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.576363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13aa8178-0065-440f-a9a8-642d1b47062e · outbound

This paper cites Few-shot medical image segmentation via a region-enhanced prototypical transformer.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Few-shot medical image segmentation via a region-enhanced prototypical transformer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.578484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89165ea5-0e8f-4fba-aae8-351182fc0e96 · outbound

This paper cites Per-case Dice is shown in the upper-right corner of the error map.

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation Per-case Dice is shown in the upper-right corner of the error map

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:35:55.580539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.