Paper Citation Record · LEDGER

Look a Group at Once: Multi-Slide Modeling for Survival Prediction

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.11487.

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

pith.paper-citation-record.v1
2411.11487 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:58.809809Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41ee536b-5d30-42bf-acd7-40f67dc018fc · outbound

This paper cites The logrank test.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction The logrank test

Reference 1

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Observation f0a21f15-8c97-4f1f-a484-3829b9e0e5cf · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks

Reference 2

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Observation 2af61c44-7b21-43cf-aa4a-6a403bb16a01 · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Multimodal co-attention transformer for survival prediction in gigapixel whole slide images

Reference 3

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Observation d64937d5-36bd-47d7-94b0-bba4e1a43214 · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 4

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Observation 49c3f74e-0a60-4cd4-b68d-75cd0869b2a6 · outbound

This paper cites Regression models and life-tables.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Regression models and life-tables

Reference 5

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Observation 139ee447-6cea-4cde-ba0e-e5abf5906bfd · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Imagenet: A large-scale hierarchical image database

Reference 6

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Observation b770f140-b5b0-44d2-bdf7-461786f9585b · outbound

This paper cites Pathology-and-genomics multimodal transformer for survival outcome prediction.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Pathology-and-genomics multimodal transformer for survival outcome prediction

Reference 7

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Observation c5bd2b4c-2152-4c65-93d4-01c1e05aa7c1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation b1cc6ff9-ae38-4ff8-b53b-f7f36c7db80f · outbound

This paper cites Learning visual features by colorization for slide-consistent survival prediction from whole slide images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Learning visual features by colorization for slide-consistent survival prediction from whole slide images

Reference 9

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Observation d55d869a-1eab-4f77-8aaa-71d14d30f7ae · outbound

This paper cites Cancer survival prediction from whole slide images with self-supervised learning and slide consistency.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Cancer survival prediction from whole slide images with self-supervised learning and slide consistency

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.354562Z

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Observation 1116f391-91c1-455e-9622-69460f15329c · outbound

This paper cites Structured state space models for multiple instance learning in digital pathol- ogy.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Structured state space models for multiple instance learning in digital pathol- ogy

Reference 11

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Observation c0fadfc4-9ffc-4258-b46f-8ee1aee9dd84 · outbound

This paper cites The immune contexture in cancer prognosis and treatment.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction The immune contexture in cancer prognosis and treatment

Reference 12

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Observation c70934db-ce8b-45e5-90a8-bfc013042393 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

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Observation 947281a9-28a3-44b3-a0fc-4deb493ce99a · outbound

This paper cites Deep residual learning for image recognition.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Deep residual learning for image recognition

Reference 14

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Observation c7038163-e789-4d6e-8380-9d1fdd115363 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Gaussian Error Linear Units (GELUs)

Reference 15

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Observation 09ccb24c-74ab-4f94-a6ec-dc9c6a0a61cd · outbound

This paper cites Multi-scope analysis driven hierarchical graph transformer for whole slide image based cancer survival prediction.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Multi-scope analysis driven hierarchical graph transformer for whole slide image based cancer survival prediction

Reference 16

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Observation db0eca46-ca01-4953-a89a-5acb911eafb6 · outbound

This paper cites Attention-based deep multiple instance learning.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Attention-based deep multiple instance learning

Reference 17

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Observation 1de189a5-205b-4b56-8f9f-ffaa1a9ef97a · outbound

This paper cites Mutational landscape and significance across 12 major cancer types.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Mutational landscape and significance across 12 major cancer types

Reference 18

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Observation fb77cb24-76aa-437d-b515-8693087b2419 · outbound

This paper cites Nonparametric estima- tion from incomplete observations.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Nonparametric estima- tion from incomplete observations

Reference 19

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Observation df6ccadd-883c-40d6-bff0-569dcffeaec0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Adam: A Method for Stochastic Optimization

Reference 20

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Observation 93043a85-9861-4bc1-8e1a-1307abce16eb · outbound

This paper cites Elsevier Health Sciences, 2012.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Elsevier Health Sciences, 2012

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.223475Z

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Observation bbb3fe7e-10e5-4876-b757-33a001414b7a · outbound

This paper cites Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning

Reference 22

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Observation 298e38d8-9e9f-4948-865a-b10f979c2b86 · outbound

This paper cites Graph cnn for survival analysis on whole slide pathological images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Graph cnn for survival analysis on whole slide pathological images

Reference 23

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Observation 5314386a-babb-4cb5-a237-6301a5cde07f · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Survival prediction via hierarchical multimodal co- attention transformer: A computational histology-radiology solution

Reference 24

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Observation 46e52bb5-bc9c-4dbc-9ad7-c99655832cc9 · outbound

This paper cites An integrated tcga pan-cancer clinical data resource to drive high-quality survival outcome analyt- ics.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction An integrated tcga pan-cancer clinical data resource to drive high-quality survival outcome analyt- ics

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.166215Z

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Observation 509ba4ad-eb1a-4c24-bfc7-623638deb627 · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Data-efficient and weakly supervised computational pathology on whole- slide images

Reference 26

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Observation 9c73a095-3b84-48aa-a6a3-5f7531dc5eff · outbound

This paper cites Neural graph modelling of whole slide images for survival ranking.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Neural graph modelling of whole slide images for survival ranking

Reference 27

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Observation 9e6b1550-0467-4286-af2e-05d676ab1904 · outbound

This paper cites AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images

Reference 28

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Observation f2d3202e-add4-4471-92fc-77d92083ff9f · outbound

This paper cites Searching for Activation Functions.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Searching for Activation Functions

Reference 29

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Observation 0d809077-2166-4da1-bac3-5d4e70f7054d · outbound

This paper cites Weakly supervised deep ordinal cox model for survival prediction from whole-slide pathological im- ages.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Weakly supervised deep ordinal cox model for survival prediction from whole-slide pathological im- ages

Reference 30

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Observation b1ef8826-9c7c-49fa-b42b-18dc12e74726 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 31

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Observation 604b27bb-109b-4b8c-8259-3ce0d53655da · outbound

This paper cites Hvtsurv: Hierarchical vision transformer for patient-level survival prediction from whole slide image.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Hvtsurv: Hierarchical vision transformer for patient-level survival prediction from whole slide image

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.105135Z

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Observation c03d971d-ddf7-47f1-9fe5-87fdcfa43d3c · outbound

This paper cites On ranking in sur- vival analysis: Bounds on the concordance index.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction On ranking in sur- vival analysis: Bounds on the concordance index

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.091547Z

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Observation a5314c5d-4c07-4466-88ad-fde435e1cdad · outbound

This paper cites Modeling discrete time-to-event data.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Modeling discrete time-to-event data

Reference 34

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Observation 40864cdf-d0a9-4e99-8a8a-23c9a75d84fb · outbound

This paper cites Attention is all you need.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Attention is all you need

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.065510Z

Source-reported events for the cited work

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Observation b14cef9d-1338-4a22-a728-38ac54d7e85e · outbound

This paper cites An explainable coarse-to- fine survival analysis method on multi-center whole slide images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction An explainable coarse-to- fine survival analysis method on multi-center whole slide images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.052440Z

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Observation ebe31c8e-75e3-4a99-943a-c377359e3248 · outbound

This paper cites Hierarchical graph pathomic network for progression free survival prediction.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Hierarchical graph pathomic network for progression free survival prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.040476Z

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Observation fe7a94c4-ed2a-4dc2-927d-ae815c20fef3 · outbound

This paper cites MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 38

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Observation a750f2df-5307-433a-b19e-865f2b41f48b · outbound

This paper cites Deep multi- instance learning for survival prediction from whole slide images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Deep multi- instance learning for survival prediction from whole slide images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.028324Z

Source-reported events for the cited work

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Observation 4b456dd1-d2af-4306-95ab-fffad09fd534 · outbound

This paper cites Whole slide images based cancer survival prediction using attention guided deep multi- ple instance learning networks.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Whole slide images based cancer survival prediction using attention guided deep multi- ple instance learning networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:59.013119Z

Source-reported events for the cited work

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Observation 8b499e37-8ec9-42c3-90e1-a8932110ecb0 · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Bias in cross- entropy-based training of deep survival networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:58.997739Z

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Observation 251a3ec2-72c7-44c6-a0cb-dcd5e15ddd05 · outbound

This paper cites A practical guide to whole slide imaging: a white paper from the digital pathology association.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction A practical guide to whole slide imaging: a white paper from the digital pathology association

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:58.983208Z

Source-reported events for the cited work

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Observation 07199176-5881-43f3-b1dc-c93f7017ea79 · outbound

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

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:58.970536Z

Source-reported events for the cited work

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Observation c1ae6dd9-a785-40cd-b41f-eab14f895a54 · outbound

This paper cites Deep con- volutional neural network for survival analysis with patho- logical images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Deep con- volutional neural network for survival analysis with patho- logical images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:58.958650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d8ce39b-e9e5-47f4-a49e-ced535a15f3f · outbound

This paper cites Wsisa: Making survival prediction from whole slide histopathological images.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction Wsisa: Making survival prediction from whole slide histopathological images

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:30:58.944953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.