Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T10:21:01.818157Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2604.04999.
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 2026-07-13T10:21:01.818157Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0aa3a483-609f-4705-8b5b-1631d68f16f2 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Machine learning and AI in cancer prognosis, prediction, and treatment selection: A critical approach,
Reference 1
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Unavailable: canonical work link unavailable.
Observation c5866dae-25d0-453f-b840-e0ec8531e9d9 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multivariable prognostic models: issues in developing models, evaluating assumptions and ade- quacy, and measuring and reducing errors,
Reference 2
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Unavailable: canonical work link unavailable.
Observation 3f8f5c65-d9cd-4fe5-a798-b9f239c482b2 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Harnessing multimodal data integration to advance precision oncology,
Reference 3
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Unavailable: canonical work link unavailable.
Observation cb7a688a-fd63-4885-a438-184afeed9f2d · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Review the cancer genome atlas (TCGA): an immeasurable source of knowledge,
Reference 4
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Unavailable: canonical work link unavailable.
Observation 6cf55c99-f874-4a8d-82f9-60ec4adc523b · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities A multimodal knowledge-enhanced whole-slide pathology foundation model,
Reference 5
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Unavailable: canonical work link unavailable.
Observation b4e350c5-7b1a-402d-ab6f-f749119ccc40 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Cross-modal translation and alignment for survival analysis,
Reference 6
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Unavailable: canonical work link unavailable.
Observation 7667d4a2-b706-4c5d-ae37-845e176a58c4 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities PS3: A multimodal transformer integrating pathology reports with histology images and biological pathways for cancer survival prediction,
Reference 7
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Unavailable: canonical work link unavailable.
Observation 464c97d9-6a22-4ca0-8398-cae3f7e6979e · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Handling missing modalities in multimodal survival prediction for non-small cell lung cancer,
Reference 8
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Unavailable: canonical work link unavailable.
Observation 878342b3-86a6-4be2-8d6d-30f243dcad35 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Memory- augmented incomplete multimodal survival prediction via cross-slide and gene-attentive hypergraph learning,
Reference 9
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Unavailable: canonical work link unavailable.
Observation 082c23ea-3250-445f-9826-72cc9e043bf6 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities A machine learning ap- proach for multimodal data fusion for survival prediction in cancer patients,
Reference 10
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Unavailable: canonical work link unavailable.
Observation 60f48d61-1418-43d0-90e8-4c7e0ce1b534 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multimodal deep learning to predict prognosis in adult and pediatric brain tumors,
Reference 11
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Unavailable: canonical work link unavailable.
Observation bcd4b459-7974-4090-9e2b-4e78b5dcce4d · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Foundation model-enabled multimodal deep learning for prognostic prediction in colorectal cancer with incomplete modalities: A multi- institutional retrospective study,
Reference 12
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Unavailable: canonical work link unavailable.
Observation b0c3b85a-6d96-407f-a23c-9014b0180b0a · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Long-term cancer survival prediction using multimodal deep learning,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 2956f9b0-bbac-4a93-af2b-2b5e22185245 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multimodal data fusion: An overview of methods, challenges, and prospects,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 61a86d4e-1e9f-4c74-a4f3-f9255ec25e3d · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Artificial intelligence for multimodal data integration in oncology,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 7422ff76-1178-4ae2-a374-abd8d97d5cf1 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Tensor fusion network for multimodal sentiment analysis,
Reference 16
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Unavailable: canonical work link unavailable.
Observation a156defe-43c2-4164-9edd-d3d32ec977d3 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Integrating multimodal information in large pretrained transformers,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 09fc84e1-c4ea-4afe-80dd-e27f4bc60d1a · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multimodal transformer for unaligned multimodal language sequences,
Reference 18
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Unavailable: canonical work link unavailable.
Observation a683141d-4f2d-4eee-ad39-44f9f22d3e71 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multimodal co-attention trans- former for survival prediction in gigapixel whole slide images,
Reference 19
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Unavailable: canonical work link unavailable.
Observation d243a3b9-53f3-44ab-82ca-a2752348b322 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Pan-cancer integrative histology-genomic analysis via multimodal deep learning,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6487d3d2-4111-4a3f-a9ec-ebb3059a18d9 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Pathology-and- genomics multimodal transformer for survival outcome prediction,
Reference 21
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Unavailable: canonical work link unavailable.
Observation 7a22b112-57e4-42bc-b316-f926742561bc · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Mul- timodal cancer modeling in the age of foundation model embeddings,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 05acb375-b81d-4893-a8b0-780c64809749 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Towards a general- purpose foundation model for computational pathology,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 431f814f-0974-427c-8d14-49a36c0bee20 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities A visual-language foundation model for computational pathology,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5980847e-8d25-4a14-8471-d0cbffd5ec7f · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities A multimodal foundation model to enhance generalizability and data efficiency for pan-cancer prognosis prediction,
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd9d919e-2690-475d-b334-64bec2cc9748 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities POMP: Pathology- omics multimodal pre-training framework for cancer survival predic- tion,
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 550a32ed-2ea1-41b2-85e7-95e716b3b221 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Robust multimodal survival prediction with conditional latent differentiation variational AutoEncoder,
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e6b6eb4-fa00-497b-a1f3-1126d8bbb7b1 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities M3AE: Multimodal representation learning for brain tumor segmentation with missing modalities,
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8ee6611-66a6-48fc-b8b2-c624a4bc06fb · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Multimodal masked autoencoder pre-training for 3D MRI-based brain tumor analysis with missing modalities,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 30397821-9d3e-472f-abaa-bcb48983badf · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system,
Reference 30
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Unavailable: canonical work link unavailable.
Observation 2b1f6231-b9b1-46cf-97f5-949deabeecb6 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 1008d26f-d8c2-404d-8299-d8194fd64c90 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities BulkRNABert: Cancer prognosis from bulk RNA-seq based language models,
Reference 32
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Unavailable: canonical work link unavailable.
Observation dd742c68-2baf-4b19-aaa4-badfc8aa4aa0 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Publicly available clinical BERT embeddings,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 79e1c782-37ec-42a2-9be7-099a26ddc725 · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Attention-based deep multiple instance learning,
Reference 34
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Unavailable: canonical work link unavailable.
Observation dcf4f787-1acd-429b-9196-a5c84026946c · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Self- normalizing neural networks,
Reference 35
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Unavailable: canonical work link unavailable.
Observation 3b981156-d3c3-4613-81a7-00c80ae5f6dc · outbound
PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities Decoupled weight decay regularization,
Reference 36
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No inbound Pith citation observations are available.