Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:41:26.243705Z
Paper Citation Record · LEDGER
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment
As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.03247.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
Reference resolution
25 of 25 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 96f7caf1-fd12-403f-b3c6-595a24fc47cc · outbound
This paper cites Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:41:26.125032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58d23bf0-94dc-4404-a036-175a346e420e · outbound
This paper cites Attention-based deep multiple instance learning.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Attention-based deep multiple instance learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:41:26.130048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e060880f-d4ae-42f9-8584-6abed5a8cd59 · outbound
This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.672939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b979da6d-ae62-46e5-bb6a-3770f224d623 · outbound
This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.658176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 34ad5a44-80f4-447e-9486-d9abcc9cd389 · outbound
This paper cites Feature re-embedding: Towards foundation model-level performance in computa- tional pathology.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Feature re-embedding: Towards foundation model-level performance in computa- tional pathology
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.643265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 10f48ac4-9844-43a3-9b3c-7920ae626a1f · outbound
This paper cites Multiple instance classification: Review, taxonomy and compara- tive study.Artificial intelligence, 201:81–105, 2013.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multiple instance classification: Review, taxonomy and compara- tive study.Artificial intelligence, 201:81–105, 2013
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.628045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aeff5c6b-4d70-4daa-b9ad-baa9514c5f16 · outbound
This paper cites Pan-cancer integrative histology-genomic analysis via multimodal deep learning.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.612043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d231e891-1126-4d5c-8227-0990550a09b7 · outbound
This paper cites Multimodal co- attention transformer for survival prediction in gigapixel whole slide images.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal co- attention transformer for survival prediction in gigapixel whole slide images
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.596223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 30c3d587-ecc9-4790-9d98-92ac71995d69 · outbound
This paper cites Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.575243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c96f6a8b-4b0f-4308-ab71-798d049374bb · outbound
This paper cites Modeling dense multimodal interactions between biological pathways and histology for survival prediction.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Modeling dense multimodal interactions between biological pathways and histology for survival prediction
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.558063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 099da19a-3e55-476f-84c2-17c5768d10c1 · outbound
This paper cites Multimodal Prototyping for cancer survival prediction.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal Prototyping for cancer survival prediction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:41:26.173231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3130dc12-428e-456c-b079-dd6d2bb8f1da · outbound
This paper cites Cohort-individual cooperative learn- ing for multimodal cancer survival analysis.IEEE Transactions on Medical Imag- ing, 44(2):656–667, 2024.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Cohort-individual cooperative learn- ing for multimodal cancer survival analysis.IEEE Transactions on Medical Imag- ing, 44(2):656–667, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.540105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a6377b08-0d1d-4636-af7c-cd42eb520468 · outbound
This paper cites an unresolved cited work.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:41:26.524722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 65c7231f-4cdb-4529-b1de-69d018a72d06 · outbound
This paper cites Multimodal data fusion for cancer biomarker discovery with deep learning.Nature machine intelli- gence, 5(4):351–362, 2023.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal data fusion for cancer biomarker discovery with deep learning.Nature machine intelli- gence, 5(4):351–362, 2023
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.506340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4f53a7db-28d8-4035-a975-c7c3708a1fbb · outbound
This paper cites A two-stage modeling approach for breast cancer survivability prediction.International journal of medical informatics, 149:104438, 2021.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment A two-stage modeling approach for breast cancer survivability prediction.International journal of medical informatics, 149:104438, 2021
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.488415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 890b7faa-6bd6-4109-99ec-71a3623cd4f0 · outbound
This paper cites Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration.npj Digital Medicine, 2025.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration.npj Digital Medicine, 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.469945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 91eccabc-8e84-40ae-bf2a-a3d4bd712d60 · outbound
This paper cites Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1):1–23, 2021.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1):1–23, 2021
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:41:26.205754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation babf8c92-d540-4c22-b9ec-eec8cac21cf5 · outbound
This paper cites Towards a general-purpose foundation model for computational pathology.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Towards a general-purpose foundation model for computational pathology
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.438972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6da788ce-f7f6-4d2d-a5f7-d855979ba304 · outbound
This paper cites an unresolved cited work.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:41:26.420594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f42a4e18-f3a1-4e53-ad84-66dcdb8f7cd1 · outbound
This paper cites Self-normalizing neural networks.Advances in neural information processing sys- tems, 30, 2017.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Self-normalizing neural networks.Advances in neural information processing sys- tems, 30, 2017
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.403910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 97fb1ead-c452-48e8-b080-a7b235e11732 · outbound
This paper cites A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:41:26.225713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a14f4bbc-9966-4eb8-b813-ddad309f3efc · outbound
This paper cites Analysis of survival data under the proportional hazards model.International Statistical Review/Revue Internationale de Statistique, pages 45–57, 1975.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Analysis of survival data under the proportional hazards model.International Statistical Review/Revue Internationale de Statistique, pages 45–57, 1975
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.375966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bc30e920-0318-4ed6-8191-92b06d68ef08 · outbound
This paper cites Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.357349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5366df30-1f4c-4862-827c-c620844dc239 · outbound
This paper cites Multi-omics deep learning improves fdg pet-ct-based long-term prognostication of breast cancer.npj Precision Oncology, 2026.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Multi-omics deep learning improves fdg pet-ct-based long-term prognostication of breast cancer.npj Precision Oncology, 2026
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.338105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f370fa09-4790-4607-a686-67e135b3ffd8 · outbound
This paper cites Visualizing data using t-sne.Jour- nal of machine learning research, 9(11), 2008.
CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment Visualizing data using t-sne.Jour- nal of machine learning research, 9(11), 2008
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:41:26.320244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.