Paper Citation Record · LEDGER

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

As of 9 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 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:30:01.451375Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 exact0
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc0dfd54-5696-4ab6-9282-4e1f9737bdee · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.339555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9a5719-4a47-4759-b712-4b086c5c8c71 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.344112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11dbaffe-9716-47d2-bdd8-8374ff37419f · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.919988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74235271-8d88-4a0b-ae0b-b599b134e2a1 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.352609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9981e0f4-b4ee-4ec2-aa13-fcb40e2ba379 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.909697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b1f8d2f-0a50-42c2-9e49-8c877e170f20 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.899372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 329e4bad-562e-4e84-a33e-3433455765ac · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.889096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20f6b729-ed2d-4a63-839d-aefe996f681b · 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

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:30:01.879004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de21c0a4-4dfb-4bd9-a137-4c85b0757c40 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.372622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81d860a-9ad3-4351-9c61-b267eda2c130 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.869153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c44a0a6-3e20-4969-b580-0d6d83b1b7cd · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.859262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 368ccc58-48e7-4239-9ed7-990afab7add3 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.384911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07907ba-680d-4d5d-9981-3827e814b83b · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.849596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 263a19c7-d7fb-41ca-b9e1-e0d643a19e51 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.839470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d72175fa-6448-4c15-8671-8599a2b1d570 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.829432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5c73079-21a2-49db-9360-f87fc4014d7a · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.399394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4964a43-b411-48f4-ba87-2f9913706756 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.818168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 260b4430-6b5b-4850-be9e-9686e4a5b9a0 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.406807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fb1f76-3bed-4457-b576-99e6e118bb95 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.808128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96914848-f933-4182-8e19-05b34b2df142 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.414297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee78fca-ae27-422f-818b-b8aed303627d · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.418046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9723fec3-63ee-4981-a733-4947813c5569 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.798289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f911dab-194e-4da2-8a95-382c7f337a17 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.425484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1097ed1-b312-405b-a074-5547d959f5c4 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.787916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 458e07f0-1a27-48cf-b9f1-b755540f2394 · 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

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.432931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d3038a-6329-46b6-aab6-c5668abb0651 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.777035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 970667f1-40e0-4308-bd8e-1b96ebd05d79 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.766523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3797464-f695-4ea2-b95d-a964031d1fe6 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.755916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84d2ff30-3c10-4ac8-9e1e-9bbf30b70831 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.745263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5425db75-5691-46b8-815c-dbfb38ac5039 · 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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:30:01.733876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.