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Paper Citation Record · LEDGER

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.02778.

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

pith.paper-citation-record.v1
2501.02778 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:54.763087Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

47 of 47 outbound references displayed

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  • verified fuzzy39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdd3d792-51a3-4981-8dc0-83aa1d72b499 · outbound

This paper cites Mtcsnet: One-stage learning and two-point labeling are sufficient for cell segmentation,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Mtcsnet: One-stage learning and two-point labeling are sufficient for cell segmentation,

Reference 1

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Observation a3fbd6de-84cd-4e85-b931-1c20804ccb19 · outbound

This paper cites Nusea: Nuclei segmentation with ellipse annotations,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Nusea: Nuclei segmentation with ellipse annotations,

Reference 2

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Observation dccefd2d-3ac5-4aaf-8b0a-964bbb52a848 · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Data-efficient and weakly supervised computational pathology on whole-slide images,

Reference 3

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Observation fc4f914e-1c9a-4232-928e-c39cb84b0714 · outbound

This paper cites Attention is all you need,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Attention is all you need,

Reference 4

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Observation 95e5f649-2786-48aa-acb3-5c86ebe1cbd8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 5

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Observation 07f378d9-8b7e-419f-bbc0-c73e40452591 · outbound

This paper cites Self- normalizing neural networks,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Self- normalizing neural networks,

Reference 6

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Observation 28c6c936-5442-43c4-b382-1a409e5d9f8e · outbound

This paper cites Ghrelin upregulates oncogenic aurora a to promote renal cell carcinoma invasion,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Ghrelin upregulates oncogenic aurora a to promote renal cell carcinoma invasion,

Reference 7

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Observation e1bd0fc6-f2f3-4894-9d31-5bdac1edf658 · outbound

This paper cites Mmp-1 is overexpressed in triple-negative breast cancer tissues and the knockdown of mmp-1 expression inhibits tumor cell malignant behaviors in vitro,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Mmp-1 is overexpressed in triple-negative breast cancer tissues and the knockdown of mmp-1 expression inhibits tumor cell malignant behaviors in vitro,

Reference 8

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Source-reported events for the cited work

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Observation c2bd574a-c269-4ab2-9f9b-abe6c9410500 · outbound

This paper cites Multimodal co-attention trans- former for survival prediction in gigapixel whole slide images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Multimodal co-attention trans- former for survival prediction in gigapixel whole slide images,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1d59427b-5753-4d09-9a89-027f38158e4b · outbound

This paper cites Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction,

Reference 10

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Observation 52798b8f-e909-485a-84ee-b72c465bc3ae · outbound

This paper cites Bias in cross-entropy-based training of deep survival networks,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Bias in cross-entropy-based training of deep survival networks,

Reference 11

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Observation d1bf3db7-1015-4c6e-92e8-5114e194a8df · outbound

This paper cites Attention-based deep multi- ple instance learning,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Attention-based deep multi- ple instance learning,

Reference 12

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Source-reported events for the cited work

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Observation 1fc232fa-8048-4d0f-8275-953991a185b1 · outbound

This paper cites Graph attention multi-instance learning for accurate colorectal cancer stag- ing,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Graph attention multi-instance learning for accurate colorectal cancer stag- ing,

Reference 13

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Observation e2601f32-6213-4aa8-9e22-f96ccff1e25d · outbound

This paper cites Cluster-to-conquer: A framework for end-to-end multi- instance learning for whole slide image classification,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Cluster-to-conquer: A framework for end-to-end multi- instance learning for whole slide image classification,

Reference 14

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Observation 4ce775b4-8e5e-4743-9393-df4b170c8e3d · outbound

This paper cites Dual-stream multiple instance learn- ing network for whole slide image classification with self-supervised con- trastive learning,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Dual-stream multiple instance learn- ing network for whole slide image classification with self-supervised con- trastive learning,

Reference 15

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Observation dc3fa67c-c0bd-426c-8d97-0f23f26d95ba · outbound

This paper cites Trans- mil: Transformer based correlated multiple instance learning for whole slide image classification,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Trans- mil: Transformer based correlated multiple instance learning for whole slide image classification,

Reference 16

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Observation 1f9b5281-af85-4760-a9dc-43b5dcfd3b12 · outbound

This paper cites Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,

Reference 17

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Observation 23a889b0-0579-4d53-9595-3a80a3d61fbf · outbound

This paper cites Sparse and hierarchical transformer for survival analysis on whole slide images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Sparse and hierarchical transformer for survival analysis on whole slide images,

Reference 18

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Observation 2bf4f9a6-cf02-4e6b-b72a-94c00c2801d2 · outbound

This paper cites dmil-transformer: Multiple instance learning 22 via integrating morphological and spatial information for lymph node metastasis classification,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction dmil-transformer: Multiple instance learning 22 via integrating morphological and spatial information for lymph node metastasis classification,

Reference 19

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Observation 721a20cf-247c-40a9-86ce-ec96fd413eb3 · outbound

This paper cites Tgmil: A hybrid multi-instance learning model based on the transformer and the graph attention network for whole- slide images classification of renal cell carcinoma,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Tgmil: A hybrid multi-instance learning model based on the transformer and the graph attention network for whole- slide images classification of renal cell carcinoma,

Reference 20

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Source-reported events for the cited work

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Observation e7b2fe98-d101-4e85-8574-15a0779fcebe · outbound

This paper cites Cross-scale multi- instance learning for pathological image diagnosis,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Cross-scale multi- instance learning for pathological image diagnosis,

Reference 21

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Observation 1d5ace57-dd3c-41a5-84ee-9226c9e59d15 · outbound

This paper cites Unveil- ing the power of model-agnostic multiscale analysis for enhancing artifi- cial intelligence models in breast cancer histopathology images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Unveil- ing the power of model-agnostic multiscale analysis for enhancing artifi- cial intelligence models in breast cancer histopathology images,

Reference 22

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Source-reported events for the cited work

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Observation 8f57041f-bbf2-4e77-bd0c-3df9e3fdde0d · outbound

This paper cites Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology,

Reference 23

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Source-reported events for the cited work

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Observation b45571c3-8c49-4295-b3f4-2dff30557ae7 · outbound

This paper cites Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 83baf282-021e-41cd-afd5-7f40c699f924 · outbound

This paper cites Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolu- tional networks,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolu- tional networks,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d807c44-1526-42be-996f-c366ca8f544f · outbound

This paper cites Sur- vival prediction in triple negative breast cancer using multiple instance learning of histopathological images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Sur- vival prediction in triple negative breast cancer using multiple instance learning of histopathological images,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8746ff2c-b2cc-4b7e-8546-fe450c1a13ba · outbound

This paper cites Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 032bfca5-9ac5-4813-a606-b3d8b94bdbae · outbound

This paper cites Lnpl-mil: Learning from noisy pseudo labels for promoting multiple instance learning in whole slide image,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Lnpl-mil: Learning from noisy pseudo labels for promoting multiple instance learning in whole slide image,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0f04b0f7-3dc7-43e1-b812-1c9bf1ec2d41 · outbound

This paper cites Multi-instance multi-task learning for joint clinical outcome and genomic profile predictions from the histopatho- logical images,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Multi-instance multi-task learning for joint clinical outcome and genomic profile predictions from the histopatho- logical images,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 35113efc-2705-482a-997d-65f3d148f724 · outbound

This paper cites Pathomic fusion: an integrated frame- work for fusing histopathology and genomic features for cancer diagnosis and prognosis,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Pathomic fusion: an integrated frame- work for fusing histopathology and genomic features for cancer diagnosis and prognosis,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2db88c77-cac1-4db7-ba00-913de68b39a8 · outbound

This paper cites an unresolved cited work.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ccba51a8-81b1-400f-9887-9044ff0a06ce · outbound

This paper cites Modeling dense multimodal interactions between biologi- cal pathways and histology for survival prediction,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Modeling dense multimodal interactions between biologi- cal pathways and histology for survival prediction,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a27d05bb-8571-4baa-b3c8-4f955b1ce9cc · outbound

This paper cites Cross-modal translation and alignment for sur- vival analysis,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Cross-modal translation and alignment for sur- vival analysis,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d7d85fee-6eb7-45b2-9b35-ca51f956baa7 · outbound

This paper cites Prototypical infor- mation bottlenecking and disentangling for multimodal cancer survival prediction,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Prototypical infor- mation bottlenecking and disentangling for multimodal cancer survival prediction,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e69e499d-2636-436b-9783-8f4d50890212 · outbound

This paper cites Multimodal prototyping for cancer survival prediction,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Multimodal prototyping for cancer survival prediction,

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34855b1b-9566-4081-8739-d2dc1e7dbd22 · outbound

This paper cites Cohort-individual cooperative learning for multimodal cancer survival analysis,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Cohort-individual cooperative learning for multimodal cancer survival analysis,

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3a1a8439-1708-4027-80c5-030d1f3a1f2b · outbound

This paper cites Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images

Reference 37

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dfa29f7f-14dc-4b56-be56-758f1b3eccf5 · outbound

This paper cites Survival prediction via hierar- chical multimodal co-attention transformer: A computational histology- radiology solution,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Survival prediction via hierar- chical multimodal co-attention transformer: A computational histology- radiology solution,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 034d8baf-078f-439a-ac11-ffe03ceb52ec · outbound

This paper cites an unresolved cited work.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Unresolved cited work

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5a47d59a-d9da-47c8-9746-9df303ceb926 · outbound

This paper cites The molecular signatures database hallmark gene set collection,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction The molecular signatures database hallmark gene set collection,

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8fc4ff47-bfb7-4adf-918a-94add6dece05 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

Resolution
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Source-reported events for the cited work

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Observation 6e6e9529-e6c2-4de3-b607-c16da699b146 · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and gen- eration,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Blip: Bootstrapping language- image pre-training for unified vision-language understanding and gen- eration,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cfc22b56-1772-4b8d-bd1c-6fd398435abc · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Clip-adapter: Better vision-language models with feature adapters,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:08:54.869004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3104add8-2f0e-47d4-9f50-172975602d12 · outbound

This paper cites Deep residual learning for image recognition,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Deep residual learning for image recognition,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:54.751923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 472dce22-dfc4-4647-94d5-d21d9c23b943 · outbound

This paper cites On the translocation of masses.,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction On the translocation of masses.,

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d9fe879-c478-4d90-bab4-1241aea64bad · outbound

This paper cites Pan-cancer integra- tive histology-genomic analysis via multimodal deep learning,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Pan-cancer integra- tive histology-genomic analysis via multimodal deep learning,

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8b195c09-cc9d-4082-a653-ca67437bcb57 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:08:54.824095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.