Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:03.394852Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2506.00679.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:03.394852Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:48.768124Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:46:45.699632Z
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9d97b155-f626-442b-a4f9-d3f04cb213ba · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks A., Fuster, V
Reference 1
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Observation dc181288-1aa3-4723-af61-eb4e65498580 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks S., Fran¸ cois, C
Reference 2
Source-reported events for the cited work
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Observation 22cf821d-ddcb-4855-a593-fa03315aff08 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks & Schulz-Menger, J
Reference 3
Source-reported events for the cited work
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Observation f11a3310-9345-45ed-8385-7f33982ce099 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 4
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Observation 378e0679-79d7-4bef-b8a0-43b9b6e40522 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 5
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Observation a982226a-7602-4517-b820-9361cd028181 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 6
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Observation 8316aa63-d8a4-4f62-8bf1-39ab77a38874 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 7
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Observation 9f16bfdb-2b2f-4cfe-a121-d3d570abc453 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 8
Source-reported events for the cited work
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Observation e543b9bd-452b-4992-b7ea-514d22bc7a83 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Deep learning segmentation of the right ventricle in cardiac mri: the m&ms challenge
Reference 9
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Observation 29bf963a-c803-4438-b083-fe44ad726176 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 10
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Observation b1126e08-4d5f-4d73-8791-efc424c8a4c1 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 11
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Observation 8b4704d5-9836-40ed-9f6d-bbcbfea415e2 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation 8aa3c5cc-7af8-43e0-b2ad-c7e6894ac44a · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 13
Source-reported events for the cited work
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Observation 858537ea-e93c-4cfa-9308-9cb2d6d88246 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks On the Opportunities and Risks of Foundation Models
Reference 14
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Observation 222e6b41-0743-41c9-a405-90d3944f4013 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 15
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Observation d1ffa697-0b8a-47e3-8ffa-ce1b2edb4828 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks & Wang, L
Reference 16
Source-reported events for the cited work
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Observation 8a84c0b7-5d74-4cbf-8242-0f319e7912d5 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation 79487151-3fbb-4ca0-b64f-f2f4f61a8c95 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 6361aae1-a840-45fc-a21f-3cfaed165894 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Reference 19
Source-reported events for the cited work
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Observation aaad3307-99e7-4fea-bb03-3a1dcb282640 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 20
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Observation 1937ab76-3d46-4af4-a174-351db8891e09 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 21
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Observation 7ff753c9-8ae9-4587-b2ce-94f53cd0890b · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 22
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Observation 27bd7d38-ced9-49d4-8176-db4601c038bd · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks & Zamir, A
Reference 23
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Observation 299f38b3-5ff3-4046-80c7-404472f43127 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks ConvMAE: Masked Convolution Meets Masked Autoencoders
Reference 24
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Observation 2cfb6341-f73d-408a-b2d2-0c2d3a4c5c65 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks C., Neubauer, S
Reference 25
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Observation bca0bda7-72ac-4e57-881b-d84ea0e0ec86 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 26
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Observation d5c814cc-c722-49c2-95b4-716d32f40ea1 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Resnet in Resnet: Generalizing Residual Architectures
Reference 27
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Observation 401a3fac-07f4-48d6-a4fe-137a0b671620 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Unresolved cited work
Reference 28
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Observation f99aad7d-9f10-4f1c-b14c-ab056f33abfa · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 29
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Observation efc59c0d-9817-482f-b724-2f2c0c8a4cf2 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks F., Kohl, S
Reference 30
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Observation d40bcafb-48c0-4b61-8717-2a4a7bb76bf9 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence
Reference 31
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Observation c81c282c-1c46-43a4-ae34-18af16e78480 · outbound
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks & Wu, X.-J
Reference 32
Source-reported events for the cited work
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Observation 271aba8e-996d-4214-8fea-ac010e914f5a · inbound
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
Reference 10
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Observation df7566c6-1b4e-4d5f-b4f5-cf2d75697d52 · inbound
Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
Reference 4
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Observation cdf550b2-e993-4705-9358-92c8d8d1e96d · inbound
Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardiac disease from conventional cardiovascular magnetic resonance (CMR) images A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
Reference 16
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