Paper Citation Record · LEDGER

LUMOS: Latent Universal Medical Priors for Segmentation

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2603.01115.

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

pith.paper-citation-record.v1
2603.01115 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:46:38.074307Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact3
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbf70e94-86d5-4de5-8612-3e2382be54e4 · outbound

This paper cites IEEE Transactions on Medi- cal ImagingPP(2025).

LUMOS: Latent Universal Medical Priors for Segmentation IEEE Transactions on Medi- cal ImagingPP(2025)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:33.344928Z

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Unavailable: canonical work link unavailable.

Observation 92ce9e8d-bbff-44bb-8680-9e824565e3c2 · outbound

This paper cites In: European conference on computer vision 2022.

LUMOS: Latent Universal Medical Priors for Segmentation In: European conference on computer vision 2022

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-02T19:46:33.442756Z

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Observation f2d40c8b-30ca-452c-971f-c87dc935e9af · outbound

This paper cites EngMedicine3(2) (2026).

LUMOS: Latent Universal Medical Priors for Segmentation EngMedicine3(2) (2026)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:33.613160Z

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Observation 86e6f03f-5d81-446f-8458-aeba9a291a21 · outbound

This paper cites In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

LUMOS: Latent Universal Medical Priors for Segmentation In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:33.851401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efe8685-8201-4257-8e3f-dc40501fc6d3 · outbound

This paper cites In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

LUMOS: Latent Universal Medical Priors for Segmentation In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:34.046309Z

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Observation e4dfdd66-1bef-4a4a-82d0-466a35e719b6 · outbound

This paper cites IEEE Transactions on Medi- cal Imaging42(9), 2763–2775 (2023).

LUMOS: Latent Universal Medical Priors for Segmentation IEEE Transactions on Medi- cal Imaging42(9), 2763–2775 (2023)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:34.212527Z

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Observation 40ae3160-6991-4b24-9314-3da7f36f7d66 · outbound

This paper cites In: European Conference of Computer Vision 2024.

LUMOS: Latent Universal Medical Priors for Segmentation In: European Conference of Computer Vision 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:34.420612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ced74d-d906-4fa3-954f-f7f25f07382f · outbound

This paper cites Nature Methods18(2), 203–211 (2021).

LUMOS: Latent Universal Medical Priors for Segmentation Nature Methods18(2), 203–211 (2021)

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-02T19:46:34.596141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbe7a83-f955-49ad-8679-48a978c76700 · outbound

This paper cites In: MultiMedia Modeling 2020.pp.451–462.MultiMediaModeling,SpringerInternationalPublishing(2020).

LUMOS: Latent Universal Medical Priors for Segmentation In: MultiMedia Modeling 2020.pp.451–462.MultiMediaModeling,SpringerInternationalPublishing(2020)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:34.848643Z

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Unavailable: canonical work link unavailable.

Observation 390720b9-6183-4eed-8dd8-75bde2bd8db7 · outbound

This paper cites 2023 IEEE/CVF International Conference on Computer Vision, ICCV pp.

LUMOS: Latent Universal Medical Priors for Segmentation 2023 IEEE/CVF International Conference on Computer Vision, ICCV pp

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:35.052339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194ee93b-f991-4534-badf-cfd8d60e502e · outbound

This paper cites Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels.

LUMOS: Latent Universal Medical Priors for Segmentation Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-02T19:49:15.933872Z

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 462ee5c5-1c5d-4acf-845e-87a551e0a6d6 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial In- telligence39(5), 4652–4660 (2025).

LUMOS: Latent Universal Medical Priors for Segmentation Proceedings of the AAAI Conference on Artificial In- telligence39(5), 4652–4660 (2025)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:35.539984Z

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Unavailable: canonical work link unavailable.

Observation 2051cd2e-9992-437d-8a67-23ab756b116e · outbound

This paper cites In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

LUMOS: Latent Universal Medical Priors for Segmentation In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:35.728414Z

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Observation 5d8772ca-9c43-45a4-bfcd-d11acceb2ee6 · outbound

This paper cites https://doi.org/10.48550/arXiv.2509.02379, https://ui.adsabs.harvard.edu/abs/2025arXiv250902379L.

LUMOS: Latent Universal Medical Priors for Segmentation https://doi.org/10.48550/arXiv.2509.02379, https://ui.adsabs.harvard.edu/abs/2025arXiv250902379L

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:35.812160Z

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Unavailable: canonical work link unavailable.

Observation 673c78e3-09a5-4405-ba0f-d4c612d91264 · outbound

This paper cites https://doi.org/10.48550/arXiv.2509.06467, https://ui.adsabs.harvard.edu/abs/2025arXiv250906467L, technical Report.

LUMOS: Latent Universal Medical Priors for Segmentation https://doi.org/10.48550/arXiv.2509.06467, https://ui.adsabs.harvard.edu/abs/2025arXiv250906467L, technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:35.914908Z

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Observation 16f414bc-4dba-43fb-bc25-44727738a0a4 · outbound

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

LUMOS: Latent Universal Medical Priors for Segmentation Nature Communications15(1), 654 (2024)

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-02T19:46:36.023991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da62e095-7227-4873-9303-8157164861c9 · outbound

This paper cites Quantitative Imaging in Medicine and Surgery15(6), 5825–5858 (2025), https://qims.amegroups.org/article/view/138057.

LUMOS: Latent Universal Medical Priors for Segmentation Quantitative Imaging in Medicine and Surgery15(6), 5825–5858 (2025), https://qims.amegroups.org/article/view/138057

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.140867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4eefe3-7203-4f48-beea-58e45cb68c56 · outbound

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

LUMOS: Latent Universal Medical Priors for Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.264880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc25454-cce7-4e49-a204-59e6a180a2d7 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

LUMOS: Latent Universal Medical Priors for Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-02T19:46:36.389942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1ff532-aedf-4031-820d-77994d70f2bf · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.

LUMOS: Latent Universal Medical Priors for Segmentation In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.547861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376a34b1-e4fb-41d4-9556-10c6378ee4bd · outbound

This paper cites DINOv3.

LUMOS: Latent Universal Medical Priors for Segmentation DINOv3

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.682107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef3be5a-17f6-4c6d-9323-93b4cfde5c67 · outbound

This paper cites BMC Medical Imaging24(1), 241 (2024).

LUMOS: Latent Universal Medical Priors for Segmentation BMC Medical Imaging24(1), 241 (2024)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.809750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2f9681-e1a3-46c4-8776-f037257bb1bb · outbound

This paper cites Computers in Biology and Medicine187, 109725 (2025).

LUMOS: Latent Universal Medical Priors for Segmentation Computers in Biology and Medicine187, 109725 (2025)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:36.985707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbaba778-1cad-480a-aa0f-4eb4f12c0471 · outbound

This paper cites DINOv3 with Test-Time Training for Medical Image Registration.

LUMOS: Latent Universal Medical Priors for Segmentation DINOv3 with Test-Time Training for Medical Image Registration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:37.150699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c705d46-be00-4844-8b93-45071ed570d6 · outbound

This paper cites Liang et al.

LUMOS: Latent Universal Medical Priors for Segmentation Liang et al

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-08-02T19:49:15.629809Z

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 bf712052-4aa9-47e9-ae16-d170f5ac96c4 · outbound

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

LUMOS: Latent Universal Medical Priors for Segmentation SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:37.475327Z

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Observation f7ba7382-0d90-49d8-8d09-2f73ea3dded9 · outbound

This paper cites Comput Biol Medical137, 104815 (2021).

LUMOS: Latent Universal Medical Priors for Segmentation Comput Biol Medical137, 104815 (2021)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:37.610798Z

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Unavailable: canonical work link unavailable.

Observation 42cc18e2-1c59-47e3-81f3-ed7f434fc43f · outbound

This paper cites In: Medical Image Computing and Computer Assisted In- tervention – MICCAI 2025.

LUMOS: Latent Universal Medical Priors for Segmentation In: Medical Image Computing and Computer Assisted In- tervention – MICCAI 2025

Reference 28

Resolution: verified exact; doi, observed 2026-08-02T19:49:15.417026Z

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 562b9531-11d6-4c9e-8a16-0741876aa08c · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

LUMOS: Latent Universal Medical Priors for Segmentation In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:37.961889Z

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Unavailable: canonical work link unavailable.

Observation 90abcd5a-17d8-4a80-bd74-886899b2b7d5 · outbound

This paper cites In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LUMOS: Latent Universal Medical Priors for Segmentation In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:38.074307Z

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Pith citing papers

No inbound Pith citation observations are available.