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Paper Citation Record · LEDGER

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.27087.

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

pith.paper-citation-record.v1
2607.27087 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:24:56.182970Z

measured 23 of 23 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

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23 of 23 outbound references displayed

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Outbound references

Observation 7c1d66c8-abe6-47d9-aadd-0f254601648a · outbound

This paper cites Com- puters in Biology and Medicine197, 111026 (2025).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Com- puters in Biology and Medicine197, 111026 (2025)

Reference 1

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Observation 48a50141-c133-4e42-9fe8-6ec3dda1a345 · outbound

This paper cites In: Proceedings of the International Conference on Computer Vision (ICCV) (2021).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: Proceedings of the International Conference on Computer Vision (ICCV) (2021)

Reference 2

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Observation 42b1fd06-156e-454e-b07e-be22d455a2a7 · outbound

This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Reference 3

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Observation 2771c69e-4b44-4675-b61b-37e4c3fc7784 · outbound

This paper cites an unresolved cited work.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Unresolved cited work

Reference 4

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Observation 4a30bbf1-9b2c-4d30-aad7-360a5b31351e · outbound

This paper cites Journal of Diabetes Science and Technology3(3), 509–516 (May 2009).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Journal of Diabetes Science and Technology3(3), 509–516 (May 2009)

Reference 5

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Observation 15254701-185b-49ce-aa2b-05e4e8df4782 · outbound

This paper cites https://doi.org/10.21227/t5s2-4j73, https://dx.doi.org/10.21227/ t5s2-4j73.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation https://doi.org/10.21227/t5s2-4j73, https://dx.doi.org/10.21227/ t5s2-4j73

Reference 6

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Observation 18e2d34f-fd0c-4b36-95cc-71eae6362ecc · outbound

This paper cites Nature Biomedical Engineering4(8), 767–777 (Jun 2020).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Nature Biomedical Engineering4(8), 767–777 (Jun 2020)

Reference 7

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Observation 8b0a9290-7eab-4c64-ae19-3d2fdcec2f59 · outbound

This paper cites Decoupled Weight Decay Regularization.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Decoupled Weight Decay Regularization

Reference 8

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Observation d3ec8fed-787b-4954-adde-1602d88ec5ce · outbound

This paper cites Ophthalmology Science5(4), 100757 (2025).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Ophthalmology Science5(4), 100757 (2025)

Reference 9

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Observation db5904ee-9b27-47da-8cab-e97722915c2a · outbound

This paper cites ArXiv preprint (2021).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation ArXiv preprint (2021)

Reference 10

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Observation 1bbe611d-57cb-46ee-9473-07fffc38d442 · outbound

This paper cites In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F

Reference 11

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Observation 56ba06cd-3e10-4f4d-82bd-a151e1796b12 · outbound

This paper cites In: Uhl, A., Busch, C., Marcel, S., Veldhuis, R.N.J.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: Uhl, A., Busch, C., Marcel, S., Veldhuis, R.N.J

Reference 12

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Observation e1934c0d-2788-4d9b-811e-2e70dd28fe71 · outbound

This paper cites DINOv3.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation DINOv3

Reference 13

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Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Unresolved cited work

Reference 14

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Observation da25fe80-cdf3-4d29-bbc6-723d3da4dbe7 · outbound

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Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Unresolved cited work

Reference 15

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Observation 3989b216-a108-4558-b078-952d87aed007 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 16

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Observation f0a4ab46-c7f4-48fb-a4ee-1b1c6606e297 · outbound

This paper cites In: IEEE International Joint Conference on Biometrics (IJCB).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: IEEE International Joint Conference on Biometrics (IJCB)

Reference 17

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Observation 4e28ad39-9c4a-462b-8377-7b82f6baa37a · outbound

This paper cites Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025

Reference 18

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Observation 5a0a5a1f-8d5e-4fd1-8167-b9bbe10260df · outbound

This paper cites Annals of the New York Academy of Sciences1551(1), 201–209 (Aug 2025).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Annals of the New York Academy of Sciences1551(1), 201–209 (Aug 2025)

Reference 19

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Observation b10a98dd-da12-4861-b061-8604841aa974 · outbound

This paper cites In: Neural Information Processing Systems (NeurIPS) (2021).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation In: Neural Information Processing Systems (NeurIPS) (2021)

Reference 20

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Observation acecc753-d621-42ba-ab0f-282a55bd4e0f · outbound

This paper cites Frontiers in Digital Health 7(Jan 2026).

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Frontiers in Digital Health 7(Jan 2026)

Reference 21

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Observation 101ef915-fb71-48e7-a42e-7e5cb4e555ad · outbound

This paper cites SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3.

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

Reference 22

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Observation 83e6e15d-7fa9-4a54-ae78-c18f81fe25f6 · outbound

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Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation Unresolved cited work

Reference 2015

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Pith citing papers

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