Paper Citation Record · LEDGER

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.28261.

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

pith.paper-citation-record.v1
2605.28261 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:52:32.362858Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3aa8087-b2e8-43de-a795-0720fac83d1d · outbound

This paper cites Biomedical Signal Processing and Control112, 108724 (2026).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Biomedical Signal Processing and Control112, 108724 (2026)

Reference 1

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Observation e7684cf3-5ff3-4644-888d-32afc9e10a24 · outbound

This paper cites Electronics9(3), 503 (2020).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Electronics9(3), 503 (2020)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 4041ce84-68d0-4dac-b782-64ee12382c9d · outbound

This paper cites Clinical Journal of the American So- ciety of Nephrology8(8), 1449–1459 (aug 2013).https://doi.org/10.2215/CJN.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Clinical Journal of the American So- ciety of Nephrology8(8), 1449–1459 (aug 2013).https://doi.org/10.2215/CJN

Reference 3

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Observation a09ab969-69a6-4ced-a591-2c30b5e7318f · outbound

This paper cites Journal of the American Society of Nephrology32(1), 52–68 (2021).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Journal of the American Society of Nephrology32(1), 52–68 (2021)

Reference 4

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Observation c7b9e49b-0079-4561-afa0-d11a2f5f1eb5 · outbound

This paper cites Medical image analysis36, 135– 146 (2017).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Medical image analysis36, 135– 146 (2017)

Reference 5

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Observation a651067f-6be9-45d7-b164-1280feddb630 · outbound

This paper cites In: Proceedings of SPIE–the International Society for Optical Engineering.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Proceedings of SPIE–the International Society for Optical Engineering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation a5758cbe-452d-469a-b9be-b77b47a8ec5e · outbound

This paper cites In: International conference on med- ical image computing and computer-assisted intervention.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: International conference on med- ical image computing and computer-assisted intervention

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation c1d8ea8c-29f2-40de-8d42-0fa793525123 · outbound

This paper cites In: IS&T International Symposium on Electronic Imaging.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: IS&T International Symposium on Electronic Imaging

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 842c3bd2-606f-42d2-a7a8-9591e1636692 · outbound

This paper cites IEEE Transactions on Biomedical Engineering70(9), 2636–2644 (2023) 10 L.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations IEEE Transactions on Biomedical Engineering70(9), 2636–2644 (2023) 10 L

Reference 9

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Observation 7f481866-c35b-4565-b617-f1894c62a7b0 · outbound

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

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 55a29540-1ea3-4c2a-aeb8-87b9f4c0054d · outbound

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

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation f611ef90-b8d8-45df-84e6-8fba33dabfcd · outbound

This paper cites In: Medical Imaging with Deep Learning (2025).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Medical Imaging with Deep Learning (2025)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 0e4c5d53-bfa2-4402-bdbe-ee8fd4b2ff7b · outbound

This paper cites KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.491001Z

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Observation cab53a84-9b9c-4f8b-8fe0-82b8f5790ccc · outbound

This paper cites Cur- rent Pathobiology Reports7(3), 73–84 (2019).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Cur- rent Pathobiology Reports7(3), 73–84 (2019)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 0f118859-13d3-42b3-b0d1-6ade913cc8af · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence (4), 532–550 (1987).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations IEEE transactions on pattern analysis and machine intelligence (4), 532–550 (1987)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 285710f7-f54d-4b7f-89fe-208881f09895 · outbound

This paper cites In: Medical Imaging with Deep Learning (2026).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Medical Imaging with Deep Learning (2026)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 0438f704-e915-4278-bda2-3f3143475801 · outbound

This paper cites Kidney international99(1), 86–101 (2021).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Kidney international99(1), 86–101 (2021)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 63c0a6fc-2d12-4a54-bff1-e9953c05c7d6 · outbound

This paper cites The American Journal of Pathology191(8), 1431– 1441 (2021).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations The American Journal of Pathology191(8), 1431– 1441 (2021)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 66de6d84-eb78-4451-b46f-00af1be865e8 · outbound

This paper cites kpmp.org(2026), accessed: 02/09/2026.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations kpmp.org(2026), accessed: 02/09/2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 23489e71-b549-4c1f-9a75-256cc9fe3522 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 811faac9-e4fa-4e9b-a221-f287754b8e4f · outbound

This paper cites IEEE Transactions on Image Pro- cessing31, 6893–6906 (2022).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations IEEE Transactions on Image Pro- cessing31, 6893–6906 (2022)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation b790c5c0-2d88-451a-b764-5b7573d3c7bd · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.490797Z

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Observation 44b788a0-09d6-467e-9791-dcbf83dd87c5 · outbound

This paper cites Journal of Systems Architecture53(4), 210–226 (2007).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Journal of Systems Architecture53(4), 210–226 (2007)

Reference 23

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Observation f5cbf060-713d-4546-b884-4b48ba19d587 · outbound

This paper cites In: Med- ical Imaging 2026: Digital and Computational Pathology.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Med- ical Imaging 2026: Digital and Computational Pathology

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation e7db6159-7a49-4912-bb12-2bf3851b9732 · outbound

This paper cites DINOv3.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations DINOv3

Reference 25

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Observation 1a9e24b7-4ade-4288-bb86-93e5c241f12e · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:53:28.497704Z

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This paper cites In: Euro- pean conference on computer vision.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: Euro- pean conference on computer vision

Reference 27

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Observation 30291175-5a5c-4e94-b9cd-3782e46336e6 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters23, 1–5 (2025).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations IEEE Geoscience and Remote Sensing Letters23, 1–5 (2025)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 31aaa2f3-ff10-43a1-805b-c2c38ee61662 · outbound

This paper cites Computers in Biology and Medicine186, 109670 (2025).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Computers in Biology and Medicine186, 109670 (2025)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 5d046754-67f8-4e8e-b0bc-7ad4a9716db2 · outbound

This paper cites Advances in Neural information processing systems33, 17721–17732 (2020).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Advances in Neural information processing systems33, 17721–17732 (2020)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 45ffbd72-8c83-45d3-99f8-5db00a9b24a6 · outbound

This paper cites Artificial Intelli- gence in Medicine164, 103111 (2025).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Artificial Intelli- gence in Medicine164, 103111 (2025)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation f96be701-c0c2-44f1-a361-c286898d99e0 · outbound

This paper cites International Journal of Computer Assisted Radiology and Surgery20(2), 225–236 (2025).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations International Journal of Computer Assisted Radiology and Surgery20(2), 225–236 (2025)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation 7327f8f7-823b-409d-8184-1cbea71ba89b · outbound

This paper cites In: IS&T International Symposium on Electronic Imaging.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations In: IS&T International Symposium on Electronic Imaging

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation f3db3d96-4acb-4dad-b860-2c9fa72a20ca · outbound

This paper cites Communica- tions of the ACM27(3), 236–239 (1984).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Communica- tions of the ACM27(3), 236–239 (1984)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Observation c9382521-831d-447e-8721-8005c63c8b52 · outbound

This paper cites DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology.

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.487419Z

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Observation 80f9b81f-6237-4703-b889-032fc05a1a21 · outbound

This paper cites Journal of Fungi10(3), 171 (2024).

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations Journal of Fungi10(3), 171 (2024)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T13:52:32.362858Z

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Pith citing papers

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