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Paper Citation Record · LEDGER

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.24703.

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

pith.paper-citation-record.v1
2607.24703 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T07:29:02.472717Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

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  • verified fuzzy0
  • unresolved24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e7a568a-b096-4752-9d9c-4e18f8248db5 · outbound

This paper cites Radiographics35(6), 1668–1676 (2015).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Radiographics35(6), 1668–1676 (2015)

Reference 1

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Observation 5c4e80b1-8ad0-4e43-8db0-d02dc01ff194 · outbound

This paper cites In: CVPR.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging In: CVPR

Reference 2

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Observation b9729b13-a2d6-4b2e-ae43-64985532ed3b · outbound

This paper cites Medical physics49(4), 2774–2793 (2022).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Medical physics49(4), 2774–2793 (2022)

Reference 3

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Observation bbd81e52-5d97-4b32-a17d-285eb61fceb9 · outbound

This paper cites Frontiers in Oncology 13, 1142947 (2023).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Frontiers in Oncology 13, 1142947 (2023)

Reference 4

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Observation 080f4868-c9be-4e37-8974-67b2309db253 · outbound

This paper cites In: ICML.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging In: ICML

Reference 5

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Observation bd7aa6c7-e11e-476a-bdf3-9ebb8e07d1bc · outbound

This paper cites Expert review of medical devices19(10), 763–778 (2022).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Expert review of medical devices19(10), 763–778 (2022)

Reference 6

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Observation 1ff29e37-6596-4664-b229-e150dbbf58df · outbound

This paper cites IEEE signal processing magazine37(1), 128–140 (2020).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging IEEE signal processing magazine37(1), 128–140 (2020)

Reference 7

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Observation 8fe05cbb-9847-4891-95cd-dfcb706efb4b · outbound

This paper cites an unresolved cited work.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Unresolved cited work

Reference 8

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Observation 296cde87-d818-41b4-92d6-9e04ff62a017 · outbound

This paper cites Scientific reports10(1), 13710 (2020).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Scientific reports10(1), 13710 (2020)

Reference 9

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Observation ddb70fbc-c488-4952-8945-8f158d24c80a · outbound

This paper cites Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine237(1), 18–34 (2023).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine237(1), 18–34 (2023)

Reference 10

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Observation 8d884a07-215a-4f3c-bd78-d66e8d6615d9 · outbound

This paper cites HuggingFace Hub, https://huggingface.co/facebook/dinov3-vits16-pretrain-lvd1689m(2025).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging HuggingFace Hub, https://huggingface.co/facebook/dinov3-vits16-pretrain-lvd1689m(2025)

Reference 11

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Observation a7d157de-b112-448a-9908-29c439a1002a · outbound

This paper cites Knupfer et al.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Knupfer et al

Reference 12

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Observation 7a46ea09-d334-4021-8851-c347a4aa2e3d · outbound

This paper cites an unresolved cited work.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Unresolved cited work

Reference 13

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Observation 6d34628a-1848-40e4-9c51-36ac214e4a90 · outbound

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Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Unresolved cited work

Reference 14

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Observation fca3f3e0-3661-417e-ae7b-5b74f9585a85 · outbound

This paper cites Scientific Data11(1) (2024).https://doi.org/10.1038/s41597-024-03170-x.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Scientific Data11(1) (2024).https://doi.org/10.1038/s41597-024-03170-x

Reference 15

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Observation 38f92916-a070-4191-bf6f-fac88afa6f0b · outbound

This paper cites In: MICCAI.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging In: MICCAI

Reference 16

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Observation cb4d39ab-66ba-4b4d-a37a-ae3c3b4cc1b7 · outbound

This paper cites The lancet oncology22(4), 538–547 (2021).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging The lancet oncology22(4), 538–547 (2021)

Reference 17

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Observation bc47c0ec-625b-4ad2-b5b9-2cc7c63952e5 · outbound

This paper cites Pattern Recognition p.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Pattern Recognition p

Reference 18

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Observation af393ab1-8d82-42de-babb-433937e95054 · outbound

This paper cites the innovative contribution of on-board hybrid mr imaging.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging the innovative contribution of on-board hybrid mr imaging

Reference 19

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Observation 6c020fd0-69b1-4955-afe1-710dc215675f · outbound

This paper cites DINOv3.

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging DINOv3

Reference 20

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Observation 824ddc10-2e70-4e75-8eeb-8ef92e0e4152 · outbound

This paper cites Medical image analysis63, 101693 (2020).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Medical image analysis63, 101693 (2020)

Reference 21

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Observation f67ffc3e-6b73-4192-acce-52f89a2a9268 · outbound

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Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Unresolved cited work

Reference 22

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Observation 2ac3976d-4e2a-43b8-9f7e-a23355960e5c · outbound

This paper cites Interventional Radiology9(3), 92–98 (2024).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Interventional Radiology9(3), 92–98 (2024)

Reference 23

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Observation 48ae5b6d-5fbc-431e-8656-4f21c0d8c53d · outbound

This paper cites NeurIPS30(2017).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging NeurIPS30(2017)

Reference 24

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Observation 18250425-72df-4276-859f-ee2c102fb273 · outbound

This paper cites Magnetic Resonance Imaging Clinics19(3), 547–566 (2011).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Magnetic Resonance Imaging Clinics19(3), 547–566 (2011)

Reference 25

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Observation 88cf88a7-119d-4f99-8204-b5271c22d649 · outbound

This paper cites The British Journal of Radiology92(1098), 20180670 (2019).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging The British Journal of Radiology92(1098), 20180670 (2019)

Reference 26

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Observation 9dc7006b-cba9-46eb-9026-bc686411fccd · outbound

This paper cites NeurIPS35, 4571 (2022).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging NeurIPS35, 4571 (2022)

Reference 27

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Observation 5d24be2f-663f-4ff1-94dc-00076ce886ed · outbound

This paper cites Frontiers in Oncology15, 1597185 (2025).

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging Frontiers in Oncology15, 1597185 (2025)

Reference 28

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Pith citing papers

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