Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T16:34:06.867042Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2605.15235.
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 2026-05-19T16:34:06.867042Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
63 of 63 outbound references displayed
External citation measurements
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Observation 44944e67-335e-46fd-885c-f6a166bb9034 · outbound
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion doi: 10.1038/s41598-026-39035-z
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Curriculum learning, in: Proceedings of the 26th Annual International Conference on Machine Learning, Associa- tion for Computing Machinery, New York, NY, USA
Reference 4
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Recurrent neural networks for multivariate time series with missing values.Scientific Reports, 8(1):6085
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Computational approaches to alleviate alarm fatigue in intensive care medicine: a systematic literature review.Frontiers in Digital Health, 4:843747
Reference 8
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion CLIMB: Data foundations for large scale multimodal clinical foundation models
Reference 9
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Wearable sensors enable personalized predictions of clinical laboratory measurements
Reference 10
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Observation 0ac9a20c-3209-43d2-9e76-ab097a727db8 · outbound
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Autonomous medical evaluation for guideline adherence of large language models.NPJ Digital Medicine, 7(1):358
Reference 11
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Finlayson, Adarsh Subbaswamy, Karandeep Singh, John Bowers, Annabel Kupke, Jonathan Zittrain, Isaac S
Reference 12
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Denoising diffusion probabilistic models
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Emogen: Emotional image content generation with text-to-image diffusion models
Reference 16
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Reference 17
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion What disease does this patient have? A large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421
Reference 19
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Mimic-cxr-jpg: Chest radiographs with structured labels.PhysioNet
Reference 20
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion MIMIC-IV.PhysioNet, October 2024
Reference 21
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the eeg
Reference 22
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Reference 23
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion MIRA: Medical time series foundation model for real-world health data
Reference 24
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Reference 25
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Reference 26
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Reference 27
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Reference 28
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Observation 61b51224-7832-4fc5-93f0-a9f86b60fcd0 · outbound
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion The CirCor DigiScope Phonocardiogram Dataset.PhysioNet, May 2022
Reference 29
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Reference 30
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Reference 31
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Reference 32
Source-reported events for the cited work
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Reference 33
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Reference 34
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Reference 35
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Reference 36
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Large language models encode clinical knowledge.Nature
Reference 37
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Integrated multimodal artificial intelligence framework for healthcare applications.NPJ Digital Medicine, 5(1):149
Reference 38
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Reference 39
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Csdi: Conditional score-based diffusion models for probabilistic time series imputation.Advances in neural information processing systems, 34:24804–24816
Reference 40
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion NEJM AI1(3), 2300138 (2024) https://doi.org/10.1056/AIoa2300138 https://ai.nejm.org/doi/pdf/10.1056/AIoa2300138
Reference 41
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Real-time quality index to control data loss in real-life cardiac monitoring applications.Sensors, 21(16):5357
Reference 42
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Reference 43
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Reference 44
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Reference 45
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Observation 1df7aa01-4143-4b56-b6ad-a1d2867714d0 · outbound
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp
Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
Reference 51
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Observation cfa43ddc-bddf-4c54-bec4-d7386072da48 · outbound
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Reference 52
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Reference 53
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Reference 54
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Observation 302364ca-8329-4e0b-8494-5abedddb5c26 · outbound
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Reference 55
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Observation c4caf2ba-9420-48e5-a045-d7fe2f784f27 · outbound
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion [13], using a pretrained thoracic image encoder, capturing structural lung and cardiac pathology including effusions, cardiomegaly, and consolidations
Reference 56
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Reference 57
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Reference 58
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Reference 59
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Reference 60
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Observation c8f0d00b-2dfc-492f-8470-a52509df7f40 · outbound
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Reference 61
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Observation 051aae39-fadb-4d65-85a2-d6c4be5f5ea0 · outbound
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Reference 62
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion All datasets were collected under IRB approval or equivalent ethical review by their original data providers; this paper only reuses fully de-identified, publicly released data
Reference 63
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No inbound Pith citation observations are available.