Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:10.836654Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:1908.02337.
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 2026-08-14T14:51:10.836654Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:33.052150Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:39:39.674211Z
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1bef9945-f5b3-4cc5-82b5-2ed39046cdfb · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Martinsson
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06390822-b028-4175-a21b-783488de144d · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03450ab7-a253-403a-989a-b4380c00e0c3 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Ching, X
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 733d0c98-e99b-47b0-a1c2-5e8d0b72513d · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Deep convolutional neural network for survival analysis with pathological images
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd88e05b-8fb4-47ae-a72f-896e3eff106d · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Gensheimer and Balasubramanian Narasimhan
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e2a9334b-18f6-49fe-aa5e-55cdbd0c43aa · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Deep neural networks for survival analysis based on a multi-task framework
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54ebee21-71c0-4639-8631-a7018faf0b61 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dee80d2d-38c9-40b0-b725-43ef5e028ddd · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e5f5dc3-d6ef-4798-aafe-542733250ed5 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values RNN-SURV: A deep recurrent model for survival analysis
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c488a62-9381-42cc-854c-d62166bdda42 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24b6c65b-f318-4b63-ab54-4732708229a3 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f1c3400a-cfa8-49f8-9f13-39235afc05b3 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and J
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 591da071-74b7-4938-843b-30d7ed9302b2 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and M
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6b61a54-8ab2-4558-978f-b3f50d723e2e · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 75a087ec-a841-4b68-be51-cede6b762aeb · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8761af9e-a477-4f57-b10e-1bd2c0355bae · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97f96af4-12bc-447b-8602-f9516c291f7c · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 242f411b-22ab-4bb6-be78-3aa18045983b · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Gerds, and Per Kragh Andersen
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91201f3e-555e-4595-a024-f9e3219d40d1 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Restricted mean models for transplant benefit and urgency
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b51fcf0f-6191-4734-a53e-fb6c4c1f7409 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values The accelerated failure time model: a useful alternative to the cox regression model in survival analysis
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23bd432e-5e5d-4288-9d52-da5af16f514d · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Harrell, Kerry L
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 790d17e3-3992-4315-9208-e20acefe9060 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and M
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05066b7e-48dc-4d4f-bf6c-1a53c560d3bc · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Random search for hyper-parameter optimization
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3e0e5c9-8cc9-44be-bfbd-2134147d43f7 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Srivastava, G
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c64f18ba-59e9-4219-a492-4bc633c3aa61 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Greedy function approximation: a gradient boosting machine
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d98d14ae-965c-4736-aef9-ae2d59511168 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Individualized treatment effects with censored data via fully nonparametric bayesian accelerated failure time models
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 169efb25-1147-4757-aa51-762fe4b93cd5 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Recruitment of adults 65 years and older as participants in the cardiovascular health study
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3491e091-d5be-4121-bc7d-9da41afedabd · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4eedf155-353a-4d11-9710-a3dfcfc5e7ad · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Schaubel
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cfdd4eb6-e386-49ec-9442-0bf1af87d7c4 · outbound
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43705155-8e0b-4929-b50f-c78c78cb1c85 · inbound
Survival Analysis as Imprecise Classification with Trainable Kernels DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.