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Paper Citation Record · LEDGER

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.05844.

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

pith.paper-citation-record.v1
2608.05844 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:34.497705Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

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  • unresolved30
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40803cfe-bcde-4a20-8984-b6783f46cb68 · outbound

This paper cites arXiv preprint arXiv:2511.17803 (2025) 1, 13.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation arXiv preprint arXiv:2511.17803 (2025) 1, 13

Reference 1

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Observation 2a473f1b-be11-455d-b403-6840769858e2 · outbound

This paper cites Radiology314(2) (Feb 2025).https:// doi.org/10.1148/radiol.241613,http://dx.doi.org/10.1148/radiol.241613 8.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Radiology314(2) (Feb 2025).https:// doi.org/10.1148/radiol.241613,http://dx.doi.org/10.1148/radiol.241613 8

Reference 2

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Observation cc092161-73cd-466a-922c-0864127f0566 · outbound

This paper cites Nature communications13(1), 4128 (2022) 8, 14.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Nature communications13(1), 4128 (2022) 8, 14

Reference 3

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Observation bc2b5512-c2dc-4e92-8ec4-91d480e0434d · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 4

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Observation b85d14ff-0101-486c-bb20-d57c22b9771a · outbound

This paper cites Research Square pp.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Research Square pp

Reference 5

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Observation e65ba908-7817-4b2f-b955-9172d44e6435 · outbound

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

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 6

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Observation 2f567ae7-9292-4f97-848e-916f74e973b9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 7

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Observation 12a58ffc-1b9d-42a4-872d-5c59f0cf7a52 · outbound

This paper cites an unresolved cited work.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Unresolved cited work

Reference 8

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Observation c650ddea-b46c-406f-8bfb-9fd4f4cf4b65 · outbound

This paper cites Curia: A Multi-Modal Foundation Model for Radiology.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Curia: A Multi-Modal Foundation Model for Radiology

Reference 9

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Observation f4327ec0-dad4-4493-b323-510539799b30 · outbound

This paper cites Advances in neural information processing systems33, 21271–21284 (2020) 2.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Advances in neural information processing systems33, 21271–21284 (2020) 2

Reference 10

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Observation 36d6e311-03f9-4b66-8483-bbe0314755de · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2020) 7.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Advances in Neural Information Processing Systems (NeurIPS) (2020) 7

Reference 11

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Observation 615215fe-cbe3-4255-848d-a2eb5a9f8091 · outbound

This paper cites arXiv preprint arXiv:2403.17834 (2024) 13.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation arXiv preprint arXiv:2403.17834 (2024) 13

Reference 12

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Observation 2263d1d0-af24-431d-b977-737fe41ccbea · outbound

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

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

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Observation da361f42-f949-4ea5-825a-b8d4a0602e0c · outbound

This paper cites Nature methods18(2), 203–211 (2021) 2, 3, 9, 11, 12, 14.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Nature methods18(2), 203–211 (2021) 2, 3, 9, 11, 12, 14

Reference 14

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Observation 52160a83-0869-4e07-b876-411d14d32093 · outbound

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

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 15

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Observation 02dfb582-f1a5-47b3-8d88-8c323e49bde4 · outbound

This paper cites AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 16

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Observation 8ecdc232-4215-4677-8a87-a5f7f8a9a5a1 · outbound

This paper cites Scientific data9(1), 320 (2022) 8.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Scientific data9(1), 320 (2022) 8

Reference 17

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Observation 172d3ec2-b4f2-4607-a6e3-36300748dfd4 · outbound

This paper cites AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Reference 18

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Observation fff2cdf8-82ae-4fb8-a6a6-346947722495 · outbound

This paper cites In: International conference on machine learning.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: International conference on machine learning

Reference 19

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Observation d3ba2d6a-9423-4d08-bc73-3d168d81d1ea · outbound

This paper cites arXiv preprint arXiv:2604.01987 (2026) 1, 2, 7, 13.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation arXiv preprint arXiv:2604.01987 (2026) 1, 2, 7, 13

Reference 20

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Observation 093a9c81-952c-44ce-82e0-9916d9ebdbef · outbound

This paper cites MedGemma Technical Report.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation MedGemma Technical Report

Reference 21

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Observation 53badb2b-a05d-4df9-bdaf-67fa3db68a28 · outbound

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

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 22

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Observation a113148b-a803-4a73-93f3-291e2d1d31b0 · outbound

This paper cites Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 23

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Observation 3d111e0c-bbec-4222-86ea-cc2ed1c77478 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 24

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Observation 9993e41f-4f86-4316-b4f2-0446149f4563 · outbound

This paper cites an unresolved cited work.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Unresolved cited work

Reference 25

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Observation 14de808d-5d18-45dc-a184-fa2391b0ad3a · outbound

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

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

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Observation 6fd5432b-a34f-4697-afdf-836ec9d5f6c3 · outbound

This paper cites In: International conference on machine learn- ing.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: International conference on machine learn- ing

Reference 27

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Observation 42fdba18-0c2e-4993-9713-1f90084b81c3 · outbound

This paper cites In: International Conference on Machine Learn- ing (ICML) (2021) 7.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation In: International Conference on Machine Learn- ing (ICML) (2021) 7

Reference 28

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Observation 3d890e8e-70bf-40f2-8fdd-9a8ccd40dbc3 · outbound

This paper cites NEJM AI2(1) (Jan 2025) 1, 2, 13.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation NEJM AI2(1) (Jan 2025) 1, 2, 13

Reference 29

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Observation 338497d0-16ba-47d7-8360-4c609e4d0f3a · outbound

This paper cites IEEE Transac- tions on Medical Imaging (2025) 3.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation IEEE Transac- tions on Medical Imaging (2025) 3

Reference 30

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Pith citing papers

No inbound Pith citation observations are available.